Upload folder using huggingface_hub
Browse filesThis view is limited to 50 files because it contains too many changes.
See raw diff
- checkpoint-12208/config.json +39 -0
- checkpoint-12208/generation_config.json +12 -0
- checkpoint-12208/model-00001-of-00007.safetensors +3 -0
- checkpoint-12208/model-00002-of-00007.safetensors +3 -0
- checkpoint-12208/model-00003-of-00007.safetensors +3 -0
- checkpoint-12208/model-00004-of-00007.safetensors +3 -0
- checkpoint-12208/model-00005-of-00007.safetensors +3 -0
- checkpoint-12208/model-00006-of-00007.safetensors +3 -0
- checkpoint-12208/model-00007-of-00007.safetensors +3 -0
- checkpoint-12208/model.safetensors.index.json +298 -0
- checkpoint-12208/optimizer.pt +3 -0
- checkpoint-12208/rng_state.pth +3 -0
- checkpoint-12208/scheduler.pt +3 -0
- checkpoint-12208/trainer_state.json +2784 -0
- checkpoint-12208/training_args.bin +3 -0
- checkpoint-15260/config.json +39 -0
- checkpoint-15260/generation_config.json +12 -0
- checkpoint-15260/model-00001-of-00007.safetensors +3 -0
- checkpoint-15260/model-00002-of-00007.safetensors +3 -0
- checkpoint-15260/model-00003-of-00007.safetensors +3 -0
- checkpoint-15260/model-00004-of-00007.safetensors +3 -0
- checkpoint-15260/model-00005-of-00007.safetensors +3 -0
- checkpoint-15260/model-00006-of-00007.safetensors +3 -0
- checkpoint-15260/model-00007-of-00007.safetensors +3 -0
- checkpoint-15260/model.safetensors.index.json +298 -0
- checkpoint-15260/optimizer.pt +3 -0
- checkpoint-15260/rng_state.pth +3 -0
- checkpoint-15260/scheduler.pt +3 -0
- checkpoint-15260/trainer_state.json +3477 -0
- checkpoint-15260/training_args.bin +3 -0
- checkpoint-18312/config.json +39 -0
- checkpoint-18312/generation_config.json +12 -0
- checkpoint-18312/model-00001-of-00007.safetensors +3 -0
- checkpoint-18312/model-00002-of-00007.safetensors +3 -0
- checkpoint-18312/model-00003-of-00007.safetensors +3 -0
- checkpoint-18312/model-00004-of-00007.safetensors +3 -0
- checkpoint-18312/model-00005-of-00007.safetensors +3 -0
- checkpoint-18312/model-00006-of-00007.safetensors +3 -0
- checkpoint-18312/model-00007-of-00007.safetensors +3 -0
- checkpoint-18312/model.safetensors.index.json +298 -0
- checkpoint-18312/optimizer.pt +3 -0
- checkpoint-18312/rng_state.pth +3 -0
- checkpoint-18312/scheduler.pt +3 -0
- checkpoint-18312/trainer_state.json +0 -0
- checkpoint-18312/training_args.bin +3 -0
- checkpoint-21364/config.json +39 -0
- checkpoint-21364/generation_config.json +12 -0
- checkpoint-21364/model-00001-of-00007.safetensors +3 -0
- checkpoint-21364/model-00002-of-00007.safetensors +3 -0
- checkpoint-21364/model-00003-of-00007.safetensors +3 -0
checkpoint-12208/config.json
ADDED
@@ -0,0 +1,39 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"_name_or_path": "/mnt/parscratch/users/acp23ay/private/models/Llama-3.1-8B-Instruct-gu-madlad-mean/",
|
3 |
+
"architectures": [
|
4 |
+
"LlamaForCausalLM"
|
5 |
+
],
|
6 |
+
"attention_bias": false,
|
7 |
+
"attention_dropout": 0.0,
|
8 |
+
"bos_token_id": 128000,
|
9 |
+
"eos_token_id": [
|
10 |
+
128001,
|
11 |
+
128008,
|
12 |
+
128009
|
13 |
+
],
|
14 |
+
"hidden_act": "silu",
|
15 |
+
"hidden_size": 4096,
|
16 |
+
"initializer_range": 0.02,
|
17 |
+
"intermediate_size": 14336,
|
18 |
+
"max_position_embeddings": 131072,
|
19 |
+
"mlp_bias": false,
|
20 |
+
"model_type": "llama",
|
21 |
+
"num_attention_heads": 32,
|
22 |
+
"num_hidden_layers": 32,
|
23 |
+
"num_key_value_heads": 8,
|
24 |
+
"pretraining_tp": 1,
|
25 |
+
"rms_norm_eps": 1e-05,
|
26 |
+
"rope_scaling": {
|
27 |
+
"factor": 8.0,
|
28 |
+
"high_freq_factor": 4.0,
|
29 |
+
"low_freq_factor": 1.0,
|
30 |
+
"original_max_position_embeddings": 8192,
|
31 |
+
"rope_type": "llama3"
|
32 |
+
},
|
33 |
+
"rope_theta": 500000.0,
|
34 |
+
"tie_word_embeddings": false,
|
35 |
+
"torch_dtype": "float32",
|
36 |
+
"transformers_version": "4.44.0.dev0",
|
37 |
+
"use_cache": true,
|
38 |
+
"vocab_size": 138256
|
39 |
+
}
|
checkpoint-12208/generation_config.json
ADDED
@@ -0,0 +1,12 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"bos_token_id": 128000,
|
3 |
+
"do_sample": true,
|
4 |
+
"eos_token_id": [
|
5 |
+
128001,
|
6 |
+
128008,
|
7 |
+
128009
|
8 |
+
],
|
9 |
+
"temperature": 0.6,
|
10 |
+
"top_p": 0.9,
|
11 |
+
"transformers_version": "4.44.0.dev0"
|
12 |
+
}
|
checkpoint-12208/model-00001-of-00007.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:72a6dddb27fe56829f663c8c1d729f7b42a4737924c9abce5e3efc06de51083b
|
3 |
+
size 4983197184
|
checkpoint-12208/model-00002-of-00007.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:168629c67732309d49f60a5ec48a6d160212bc987365e82e183dfbf74ba0c1f3
|
3 |
+
size 4899116432
|
checkpoint-12208/model-00003-of-00007.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:1a223e87240e50dfb05634ea909cf1ec715d37a12b681b14a3a6e97f28688f2b
|
3 |
+
size 4999813112
|
checkpoint-12208/model-00004-of-00007.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:3047d199c611c6d12b1cca780f033ad89df9c076f742674f7ac4a892ca9573b3
|
3 |
+
size 4999813128
|
checkpoint-12208/model-00005-of-00007.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:0a2f91d749d664ecd22c71f3d54488966fc6899a03924b8fea3613c8f83398a8
|
3 |
+
size 4832007496
|
checkpoint-12208/model-00006-of-00007.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:f41cb4e8ad68d24cc50e434c9c5f3d17ec7bc1e9102bf9df21c83b21b51a8dd1
|
3 |
+
size 4999813120
|
checkpoint-12208/model-00007-of-00007.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:06ec8c367476f42f18cc746d3b7e54f5eceb1c1a820b505d99df1abb57161b0f
|
3 |
+
size 2734998184
|
checkpoint-12208/model.safetensors.index.json
ADDED
@@ -0,0 +1,298 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"metadata": {
|
3 |
+
"total_size": 32448724992
|
4 |
+
},
|
5 |
+
"weight_map": {
|
6 |
+
"lm_head.weight": "model-00007-of-00007.safetensors",
|
7 |
+
"model.embed_tokens.weight": "model-00001-of-00007.safetensors",
|
8 |
+
"model.layers.0.input_layernorm.weight": "model-00001-of-00007.safetensors",
|
9 |
+
"model.layers.0.mlp.down_proj.weight": "model-00001-of-00007.safetensors",
|
10 |
+
"model.layers.0.mlp.gate_proj.weight": "model-00001-of-00007.safetensors",
|
11 |
+
"model.layers.0.mlp.up_proj.weight": "model-00001-of-00007.safetensors",
|
12 |
+
"model.layers.0.post_attention_layernorm.weight": "model-00001-of-00007.safetensors",
|
13 |
+
"model.layers.0.self_attn.k_proj.weight": "model-00001-of-00007.safetensors",
|
14 |
+
"model.layers.0.self_attn.o_proj.weight": "model-00001-of-00007.safetensors",
|
15 |
+
"model.layers.0.self_attn.q_proj.weight": "model-00001-of-00007.safetensors",
|
16 |
+
"model.layers.0.self_attn.v_proj.weight": "model-00001-of-00007.safetensors",
|
17 |
+
"model.layers.1.input_layernorm.weight": "model-00001-of-00007.safetensors",
|
18 |
+
"model.layers.1.mlp.down_proj.weight": "model-00001-of-00007.safetensors",
|
19 |
+
"model.layers.1.mlp.gate_proj.weight": "model-00001-of-00007.safetensors",
|
20 |
+
"model.layers.1.mlp.up_proj.weight": "model-00001-of-00007.safetensors",
|
21 |
+
"model.layers.1.post_attention_layernorm.weight": "model-00001-of-00007.safetensors",
|
22 |
+
"model.layers.1.self_attn.k_proj.weight": "model-00001-of-00007.safetensors",
|
23 |
+
"model.layers.1.self_attn.o_proj.weight": "model-00001-of-00007.safetensors",
|
24 |
+
"model.layers.1.self_attn.q_proj.weight": "model-00001-of-00007.safetensors",
|
25 |
+
"model.layers.1.self_attn.v_proj.weight": "model-00001-of-00007.safetensors",
|
26 |
+
"model.layers.10.input_layernorm.weight": "model-00003-of-00007.safetensors",
|
27 |
+
"model.layers.10.mlp.down_proj.weight": "model-00003-of-00007.safetensors",
|
28 |
+
"model.layers.10.mlp.gate_proj.weight": "model-00003-of-00007.safetensors",
|
29 |
+
"model.layers.10.mlp.up_proj.weight": "model-00003-of-00007.safetensors",
|
30 |
+
"model.layers.10.post_attention_layernorm.weight": "model-00003-of-00007.safetensors",
|
31 |
+
"model.layers.10.self_attn.k_proj.weight": "model-00003-of-00007.safetensors",
|
32 |
+
"model.layers.10.self_attn.o_proj.weight": "model-00003-of-00007.safetensors",
|
33 |
+
"model.layers.10.self_attn.q_proj.weight": "model-00003-of-00007.safetensors",
|
34 |
+
"model.layers.10.self_attn.v_proj.weight": "model-00003-of-00007.safetensors",
|
35 |
+
"model.layers.11.input_layernorm.weight": "model-00003-of-00007.safetensors",
|
36 |
+
"model.layers.11.mlp.down_proj.weight": "model-00003-of-00007.safetensors",
|
37 |
+
"model.layers.11.mlp.gate_proj.weight": "model-00003-of-00007.safetensors",
|
38 |
+
"model.layers.11.mlp.up_proj.weight": "model-00003-of-00007.safetensors",
|
39 |
+
"model.layers.11.post_attention_layernorm.weight": "model-00003-of-00007.safetensors",
|
40 |
+
"model.layers.11.self_attn.k_proj.weight": "model-00003-of-00007.safetensors",
|
41 |
+
"model.layers.11.self_attn.o_proj.weight": "model-00003-of-00007.safetensors",
|
42 |
+
"model.layers.11.self_attn.q_proj.weight": "model-00003-of-00007.safetensors",
|
43 |
+
"model.layers.11.self_attn.v_proj.weight": "model-00003-of-00007.safetensors",
|
44 |
+
"model.layers.12.input_layernorm.weight": "model-00003-of-00007.safetensors",
|
45 |
+
"model.layers.12.mlp.down_proj.weight": "model-00003-of-00007.safetensors",
|
46 |
+
"model.layers.12.mlp.gate_proj.weight": "model-00003-of-00007.safetensors",
|
47 |
+
"model.layers.12.mlp.up_proj.weight": "model-00003-of-00007.safetensors",
|
48 |
+
"model.layers.12.post_attention_layernorm.weight": "model-00003-of-00007.safetensors",
|
49 |
+
"model.layers.12.self_attn.k_proj.weight": "model-00003-of-00007.safetensors",
|
50 |
+
"model.layers.12.self_attn.o_proj.weight": "model-00003-of-00007.safetensors",
|
51 |
+
"model.layers.12.self_attn.q_proj.weight": "model-00003-of-00007.safetensors",
|
52 |
+
"model.layers.12.self_attn.v_proj.weight": "model-00003-of-00007.safetensors",
|
53 |
+
"model.layers.13.input_layernorm.weight": "model-00003-of-00007.safetensors",
|
54 |
+
"model.layers.13.mlp.down_proj.weight": "model-00003-of-00007.safetensors",
|
55 |
+
"model.layers.13.mlp.gate_proj.weight": "model-00003-of-00007.safetensors",
|
56 |
+
"model.layers.13.mlp.up_proj.weight": "model-00003-of-00007.safetensors",
|
57 |
+
"model.layers.13.post_attention_layernorm.weight": "model-00003-of-00007.safetensors",
|
58 |
+
"model.layers.13.self_attn.k_proj.weight": "model-00003-of-00007.safetensors",
|
59 |
+
"model.layers.13.self_attn.o_proj.weight": "model-00003-of-00007.safetensors",
|
60 |
+
"model.layers.13.self_attn.q_proj.weight": "model-00003-of-00007.safetensors",
|
61 |
+
"model.layers.13.self_attn.v_proj.weight": "model-00003-of-00007.safetensors",
|
62 |
+
"model.layers.14.input_layernorm.weight": "model-00004-of-00007.safetensors",
|
63 |
+
"model.layers.14.mlp.down_proj.weight": "model-00004-of-00007.safetensors",
|
64 |
+
"model.layers.14.mlp.gate_proj.weight": "model-00003-of-00007.safetensors",
|
65 |
+
"model.layers.14.mlp.up_proj.weight": "model-00004-of-00007.safetensors",
|
66 |
+
"model.layers.14.post_attention_layernorm.weight": "model-00004-of-00007.safetensors",
|
67 |
+
"model.layers.14.self_attn.k_proj.weight": "model-00003-of-00007.safetensors",
|
68 |
+
"model.layers.14.self_attn.o_proj.weight": "model-00003-of-00007.safetensors",
|
69 |
+
"model.layers.14.self_attn.q_proj.weight": "model-00003-of-00007.safetensors",
|
70 |
+
"model.layers.14.self_attn.v_proj.weight": "model-00003-of-00007.safetensors",
|
71 |
+
"model.layers.15.input_layernorm.weight": "model-00004-of-00007.safetensors",
|
72 |
+
"model.layers.15.mlp.down_proj.weight": "model-00004-of-00007.safetensors",
|
73 |
+
"model.layers.15.mlp.gate_proj.weight": "model-00004-of-00007.safetensors",
|
74 |
+
"model.layers.15.mlp.up_proj.weight": "model-00004-of-00007.safetensors",
|
75 |
+
"model.layers.15.post_attention_layernorm.weight": "model-00004-of-00007.safetensors",
|
76 |
+
"model.layers.15.self_attn.k_proj.weight": "model-00004-of-00007.safetensors",
|
77 |
+
"model.layers.15.self_attn.o_proj.weight": "model-00004-of-00007.safetensors",
|
78 |
+
"model.layers.15.self_attn.q_proj.weight": "model-00004-of-00007.safetensors",
|
79 |
+
"model.layers.15.self_attn.v_proj.weight": "model-00004-of-00007.safetensors",
|
80 |
+
"model.layers.16.input_layernorm.weight": "model-00004-of-00007.safetensors",
|
81 |
+
"model.layers.16.mlp.down_proj.weight": "model-00004-of-00007.safetensors",
|
82 |
+
"model.layers.16.mlp.gate_proj.weight": "model-00004-of-00007.safetensors",
|
83 |
+
"model.layers.16.mlp.up_proj.weight": "model-00004-of-00007.safetensors",
|
84 |
+
"model.layers.16.post_attention_layernorm.weight": "model-00004-of-00007.safetensors",
|
85 |
+
"model.layers.16.self_attn.k_proj.weight": "model-00004-of-00007.safetensors",
|
86 |
+
"model.layers.16.self_attn.o_proj.weight": "model-00004-of-00007.safetensors",
|
87 |
+
"model.layers.16.self_attn.q_proj.weight": "model-00004-of-00007.safetensors",
|
88 |
+
"model.layers.16.self_attn.v_proj.weight": "model-00004-of-00007.safetensors",
|
89 |
+
"model.layers.17.input_layernorm.weight": "model-00004-of-00007.safetensors",
|
90 |
+
"model.layers.17.mlp.down_proj.weight": "model-00004-of-00007.safetensors",
|
91 |
+
"model.layers.17.mlp.gate_proj.weight": "model-00004-of-00007.safetensors",
|
92 |
+
"model.layers.17.mlp.up_proj.weight": "model-00004-of-00007.safetensors",
|
93 |
+
"model.layers.17.post_attention_layernorm.weight": "model-00004-of-00007.safetensors",
|
94 |
+
"model.layers.17.self_attn.k_proj.weight": "model-00004-of-00007.safetensors",
|
95 |
+
"model.layers.17.self_attn.o_proj.weight": "model-00004-of-00007.safetensors",
|
96 |
+
"model.layers.17.self_attn.q_proj.weight": "model-00004-of-00007.safetensors",
|
97 |
+
"model.layers.17.self_attn.v_proj.weight": "model-00004-of-00007.safetensors",
|
98 |
+
"model.layers.18.input_layernorm.weight": "model-00004-of-00007.safetensors",
|
99 |
+
"model.layers.18.mlp.down_proj.weight": "model-00004-of-00007.safetensors",
|
100 |
+
"model.layers.18.mlp.gate_proj.weight": "model-00004-of-00007.safetensors",
|
101 |
+
"model.layers.18.mlp.up_proj.weight": "model-00004-of-00007.safetensors",
|
102 |
+
"model.layers.18.post_attention_layernorm.weight": "model-00004-of-00007.safetensors",
|
103 |
+
"model.layers.18.self_attn.k_proj.weight": "model-00004-of-00007.safetensors",
|
104 |
+
"model.layers.18.self_attn.o_proj.weight": "model-00004-of-00007.safetensors",
|
105 |
+
"model.layers.18.self_attn.q_proj.weight": "model-00004-of-00007.safetensors",
|
106 |
+
"model.layers.18.self_attn.v_proj.weight": "model-00004-of-00007.safetensors",
|
107 |
+
"model.layers.19.input_layernorm.weight": "model-00004-of-00007.safetensors",
|
108 |
+
"model.layers.19.mlp.down_proj.weight": "model-00004-of-00007.safetensors",
|
109 |
+
"model.layers.19.mlp.gate_proj.weight": "model-00004-of-00007.safetensors",
|
110 |
+
"model.layers.19.mlp.up_proj.weight": "model-00004-of-00007.safetensors",
|
111 |
+
"model.layers.19.post_attention_layernorm.weight": "model-00004-of-00007.safetensors",
|
112 |
+
"model.layers.19.self_attn.k_proj.weight": "model-00004-of-00007.safetensors",
|
113 |
+
"model.layers.19.self_attn.o_proj.weight": "model-00004-of-00007.safetensors",
|
114 |
+
"model.layers.19.self_attn.q_proj.weight": "model-00004-of-00007.safetensors",
|
115 |
+
"model.layers.19.self_attn.v_proj.weight": "model-00004-of-00007.safetensors",
|
116 |
+
"model.layers.2.input_layernorm.weight": "model-00001-of-00007.safetensors",
|
117 |
+
"model.layers.2.mlp.down_proj.weight": "model-00001-of-00007.safetensors",
|
118 |
+
"model.layers.2.mlp.gate_proj.weight": "model-00001-of-00007.safetensors",
|
119 |
+
"model.layers.2.mlp.up_proj.weight": "model-00001-of-00007.safetensors",
|
120 |
+
"model.layers.2.post_attention_layernorm.weight": "model-00001-of-00007.safetensors",
|
121 |
+
"model.layers.2.self_attn.k_proj.weight": "model-00001-of-00007.safetensors",
|
122 |
+
"model.layers.2.self_attn.o_proj.weight": "model-00001-of-00007.safetensors",
|
123 |
+
"model.layers.2.self_attn.q_proj.weight": "model-00001-of-00007.safetensors",
|
124 |
+
"model.layers.2.self_attn.v_proj.weight": "model-00001-of-00007.safetensors",
|
125 |
+
"model.layers.20.input_layernorm.weight": "model-00005-of-00007.safetensors",
|
126 |
+
"model.layers.20.mlp.down_proj.weight": "model-00005-of-00007.safetensors",
|
127 |
+
"model.layers.20.mlp.gate_proj.weight": "model-00005-of-00007.safetensors",
|
128 |
+
"model.layers.20.mlp.up_proj.weight": "model-00005-of-00007.safetensors",
|
129 |
+
"model.layers.20.post_attention_layernorm.weight": "model-00005-of-00007.safetensors",
|
130 |
+
"model.layers.20.self_attn.k_proj.weight": "model-00004-of-00007.safetensors",
|
131 |
+
"model.layers.20.self_attn.o_proj.weight": "model-00004-of-00007.safetensors",
|
132 |
+
"model.layers.20.self_attn.q_proj.weight": "model-00004-of-00007.safetensors",
|
133 |
+
"model.layers.20.self_attn.v_proj.weight": "model-00004-of-00007.safetensors",
|
134 |
+
"model.layers.21.input_layernorm.weight": "model-00005-of-00007.safetensors",
|
135 |
+
"model.layers.21.mlp.down_proj.weight": "model-00005-of-00007.safetensors",
|
136 |
+
"model.layers.21.mlp.gate_proj.weight": "model-00005-of-00007.safetensors",
|
137 |
+
"model.layers.21.mlp.up_proj.weight": "model-00005-of-00007.safetensors",
|
138 |
+
"model.layers.21.post_attention_layernorm.weight": "model-00005-of-00007.safetensors",
|
139 |
+
"model.layers.21.self_attn.k_proj.weight": "model-00005-of-00007.safetensors",
|
140 |
+
"model.layers.21.self_attn.o_proj.weight": "model-00005-of-00007.safetensors",
|
141 |
+
"model.layers.21.self_attn.q_proj.weight": "model-00005-of-00007.safetensors",
|
142 |
+
"model.layers.21.self_attn.v_proj.weight": "model-00005-of-00007.safetensors",
|
143 |
+
"model.layers.22.input_layernorm.weight": "model-00005-of-00007.safetensors",
|
144 |
+
"model.layers.22.mlp.down_proj.weight": "model-00005-of-00007.safetensors",
|
145 |
+
"model.layers.22.mlp.gate_proj.weight": "model-00005-of-00007.safetensors",
|
146 |
+
"model.layers.22.mlp.up_proj.weight": "model-00005-of-00007.safetensors",
|
147 |
+
"model.layers.22.post_attention_layernorm.weight": "model-00005-of-00007.safetensors",
|
148 |
+
"model.layers.22.self_attn.k_proj.weight": "model-00005-of-00007.safetensors",
|
149 |
+
"model.layers.22.self_attn.o_proj.weight": "model-00005-of-00007.safetensors",
|
150 |
+
"model.layers.22.self_attn.q_proj.weight": "model-00005-of-00007.safetensors",
|
151 |
+
"model.layers.22.self_attn.v_proj.weight": "model-00005-of-00007.safetensors",
|
152 |
+
"model.layers.23.input_layernorm.weight": "model-00005-of-00007.safetensors",
|
153 |
+
"model.layers.23.mlp.down_proj.weight": "model-00005-of-00007.safetensors",
|
154 |
+
"model.layers.23.mlp.gate_proj.weight": "model-00005-of-00007.safetensors",
|
155 |
+
"model.layers.23.mlp.up_proj.weight": "model-00005-of-00007.safetensors",
|
156 |
+
"model.layers.23.post_attention_layernorm.weight": "model-00005-of-00007.safetensors",
|
157 |
+
"model.layers.23.self_attn.k_proj.weight": "model-00005-of-00007.safetensors",
|
158 |
+
"model.layers.23.self_attn.o_proj.weight": "model-00005-of-00007.safetensors",
|
159 |
+
"model.layers.23.self_attn.q_proj.weight": "model-00005-of-00007.safetensors",
|
160 |
+
"model.layers.23.self_attn.v_proj.weight": "model-00005-of-00007.safetensors",
|
161 |
+
"model.layers.24.input_layernorm.weight": "model-00005-of-00007.safetensors",
|
162 |
+
"model.layers.24.mlp.down_proj.weight": "model-00005-of-00007.safetensors",
|
163 |
+
"model.layers.24.mlp.gate_proj.weight": "model-00005-of-00007.safetensors",
|
164 |
+
"model.layers.24.mlp.up_proj.weight": "model-00005-of-00007.safetensors",
|
165 |
+
"model.layers.24.post_attention_layernorm.weight": "model-00005-of-00007.safetensors",
|
166 |
+
"model.layers.24.self_attn.k_proj.weight": "model-00005-of-00007.safetensors",
|
167 |
+
"model.layers.24.self_attn.o_proj.weight": "model-00005-of-00007.safetensors",
|
168 |
+
"model.layers.24.self_attn.q_proj.weight": "model-00005-of-00007.safetensors",
|
169 |
+
"model.layers.24.self_attn.v_proj.weight": "model-00005-of-00007.safetensors",
|
170 |
+
"model.layers.25.input_layernorm.weight": "model-00006-of-00007.safetensors",
|
171 |
+
"model.layers.25.mlp.down_proj.weight": "model-00006-of-00007.safetensors",
|
172 |
+
"model.layers.25.mlp.gate_proj.weight": "model-00005-of-00007.safetensors",
|
173 |
+
"model.layers.25.mlp.up_proj.weight": "model-00005-of-00007.safetensors",
|
174 |
+
"model.layers.25.post_attention_layernorm.weight": "model-00006-of-00007.safetensors",
|
175 |
+
"model.layers.25.self_attn.k_proj.weight": "model-00005-of-00007.safetensors",
|
176 |
+
"model.layers.25.self_attn.o_proj.weight": "model-00005-of-00007.safetensors",
|
177 |
+
"model.layers.25.self_attn.q_proj.weight": "model-00005-of-00007.safetensors",
|
178 |
+
"model.layers.25.self_attn.v_proj.weight": "model-00005-of-00007.safetensors",
|
179 |
+
"model.layers.26.input_layernorm.weight": "model-00006-of-00007.safetensors",
|
180 |
+
"model.layers.26.mlp.down_proj.weight": "model-00006-of-00007.safetensors",
|
181 |
+
"model.layers.26.mlp.gate_proj.weight": "model-00006-of-00007.safetensors",
|
182 |
+
"model.layers.26.mlp.up_proj.weight": "model-00006-of-00007.safetensors",
|
183 |
+
"model.layers.26.post_attention_layernorm.weight": "model-00006-of-00007.safetensors",
|
184 |
+
"model.layers.26.self_attn.k_proj.weight": "model-00006-of-00007.safetensors",
|
185 |
+
"model.layers.26.self_attn.o_proj.weight": "model-00006-of-00007.safetensors",
|
186 |
+
"model.layers.26.self_attn.q_proj.weight": "model-00006-of-00007.safetensors",
|
187 |
+
"model.layers.26.self_attn.v_proj.weight": "model-00006-of-00007.safetensors",
|
188 |
+
"model.layers.27.input_layernorm.weight": "model-00006-of-00007.safetensors",
|
189 |
+
"model.layers.27.mlp.down_proj.weight": "model-00006-of-00007.safetensors",
|
190 |
+
"model.layers.27.mlp.gate_proj.weight": "model-00006-of-00007.safetensors",
|
191 |
+
"model.layers.27.mlp.up_proj.weight": "model-00006-of-00007.safetensors",
|
192 |
+
"model.layers.27.post_attention_layernorm.weight": "model-00006-of-00007.safetensors",
|
193 |
+
"model.layers.27.self_attn.k_proj.weight": "model-00006-of-00007.safetensors",
|
194 |
+
"model.layers.27.self_attn.o_proj.weight": "model-00006-of-00007.safetensors",
|
195 |
+
"model.layers.27.self_attn.q_proj.weight": "model-00006-of-00007.safetensors",
|
196 |
+
"model.layers.27.self_attn.v_proj.weight": "model-00006-of-00007.safetensors",
|
197 |
+
"model.layers.28.input_layernorm.weight": "model-00006-of-00007.safetensors",
|
198 |
+
"model.layers.28.mlp.down_proj.weight": "model-00006-of-00007.safetensors",
|
199 |
+
"model.layers.28.mlp.gate_proj.weight": "model-00006-of-00007.safetensors",
|
200 |
+
"model.layers.28.mlp.up_proj.weight": "model-00006-of-00007.safetensors",
|
201 |
+
"model.layers.28.post_attention_layernorm.weight": "model-00006-of-00007.safetensors",
|
202 |
+
"model.layers.28.self_attn.k_proj.weight": "model-00006-of-00007.safetensors",
|
203 |
+
"model.layers.28.self_attn.o_proj.weight": "model-00006-of-00007.safetensors",
|
204 |
+
"model.layers.28.self_attn.q_proj.weight": "model-00006-of-00007.safetensors",
|
205 |
+
"model.layers.28.self_attn.v_proj.weight": "model-00006-of-00007.safetensors",
|
206 |
+
"model.layers.29.input_layernorm.weight": "model-00006-of-00007.safetensors",
|
207 |
+
"model.layers.29.mlp.down_proj.weight": "model-00006-of-00007.safetensors",
|
208 |
+
"model.layers.29.mlp.gate_proj.weight": "model-00006-of-00007.safetensors",
|
209 |
+
"model.layers.29.mlp.up_proj.weight": "model-00006-of-00007.safetensors",
|
210 |
+
"model.layers.29.post_attention_layernorm.weight": "model-00006-of-00007.safetensors",
|
211 |
+
"model.layers.29.self_attn.k_proj.weight": "model-00006-of-00007.safetensors",
|
212 |
+
"model.layers.29.self_attn.o_proj.weight": "model-00006-of-00007.safetensors",
|
213 |
+
"model.layers.29.self_attn.q_proj.weight": "model-00006-of-00007.safetensors",
|
214 |
+
"model.layers.29.self_attn.v_proj.weight": "model-00006-of-00007.safetensors",
|
215 |
+
"model.layers.3.input_layernorm.weight": "model-00002-of-00007.safetensors",
|
216 |
+
"model.layers.3.mlp.down_proj.weight": "model-00002-of-00007.safetensors",
|
217 |
+
"model.layers.3.mlp.gate_proj.weight": "model-00002-of-00007.safetensors",
|
218 |
+
"model.layers.3.mlp.up_proj.weight": "model-00002-of-00007.safetensors",
|
219 |
+
"model.layers.3.post_attention_layernorm.weight": "model-00002-of-00007.safetensors",
|
220 |
+
"model.layers.3.self_attn.k_proj.weight": "model-00001-of-00007.safetensors",
|
221 |
+
"model.layers.3.self_attn.o_proj.weight": "model-00002-of-00007.safetensors",
|
222 |
+
"model.layers.3.self_attn.q_proj.weight": "model-00001-of-00007.safetensors",
|
223 |
+
"model.layers.3.self_attn.v_proj.weight": "model-00001-of-00007.safetensors",
|
224 |
+
"model.layers.30.input_layernorm.weight": "model-00006-of-00007.safetensors",
|
225 |
+
"model.layers.30.mlp.down_proj.weight": "model-00006-of-00007.safetensors",
|
226 |
+
"model.layers.30.mlp.gate_proj.weight": "model-00006-of-00007.safetensors",
|
227 |
+
"model.layers.30.mlp.up_proj.weight": "model-00006-of-00007.safetensors",
|
228 |
+
"model.layers.30.post_attention_layernorm.weight": "model-00006-of-00007.safetensors",
|
229 |
+
"model.layers.30.self_attn.k_proj.weight": "model-00006-of-00007.safetensors",
|
230 |
+
"model.layers.30.self_attn.o_proj.weight": "model-00006-of-00007.safetensors",
|
231 |
+
"model.layers.30.self_attn.q_proj.weight": "model-00006-of-00007.safetensors",
|
232 |
+
"model.layers.30.self_attn.v_proj.weight": "model-00006-of-00007.safetensors",
|
233 |
+
"model.layers.31.input_layernorm.weight": "model-00007-of-00007.safetensors",
|
234 |
+
"model.layers.31.mlp.down_proj.weight": "model-00007-of-00007.safetensors",
|
235 |
+
"model.layers.31.mlp.gate_proj.weight": "model-00006-of-00007.safetensors",
|
236 |
+
"model.layers.31.mlp.up_proj.weight": "model-00007-of-00007.safetensors",
|
237 |
+
"model.layers.31.post_attention_layernorm.weight": "model-00007-of-00007.safetensors",
|
238 |
+
"model.layers.31.self_attn.k_proj.weight": "model-00006-of-00007.safetensors",
|
239 |
+
"model.layers.31.self_attn.o_proj.weight": "model-00006-of-00007.safetensors",
|
240 |
+
"model.layers.31.self_attn.q_proj.weight": "model-00006-of-00007.safetensors",
|
241 |
+
"model.layers.31.self_attn.v_proj.weight": "model-00006-of-00007.safetensors",
|
242 |
+
"model.layers.4.input_layernorm.weight": "model-00002-of-00007.safetensors",
|
243 |
+
"model.layers.4.mlp.down_proj.weight": "model-00002-of-00007.safetensors",
|
244 |
+
"model.layers.4.mlp.gate_proj.weight": "model-00002-of-00007.safetensors",
|
245 |
+
"model.layers.4.mlp.up_proj.weight": "model-00002-of-00007.safetensors",
|
246 |
+
"model.layers.4.post_attention_layernorm.weight": "model-00002-of-00007.safetensors",
|
247 |
+
"model.layers.4.self_attn.k_proj.weight": "model-00002-of-00007.safetensors",
|
248 |
+
"model.layers.4.self_attn.o_proj.weight": "model-00002-of-00007.safetensors",
|
249 |
+
"model.layers.4.self_attn.q_proj.weight": "model-00002-of-00007.safetensors",
|
250 |
+
"model.layers.4.self_attn.v_proj.weight": "model-00002-of-00007.safetensors",
|
251 |
+
"model.layers.5.input_layernorm.weight": "model-00002-of-00007.safetensors",
|
252 |
+
"model.layers.5.mlp.down_proj.weight": "model-00002-of-00007.safetensors",
|
253 |
+
"model.layers.5.mlp.gate_proj.weight": "model-00002-of-00007.safetensors",
|
254 |
+
"model.layers.5.mlp.up_proj.weight": "model-00002-of-00007.safetensors",
|
255 |
+
"model.layers.5.post_attention_layernorm.weight": "model-00002-of-00007.safetensors",
|
256 |
+
"model.layers.5.self_attn.k_proj.weight": "model-00002-of-00007.safetensors",
|
257 |
+
"model.layers.5.self_attn.o_proj.weight": "model-00002-of-00007.safetensors",
|
258 |
+
"model.layers.5.self_attn.q_proj.weight": "model-00002-of-00007.safetensors",
|
259 |
+
"model.layers.5.self_attn.v_proj.weight": "model-00002-of-00007.safetensors",
|
260 |
+
"model.layers.6.input_layernorm.weight": "model-00002-of-00007.safetensors",
|
261 |
+
"model.layers.6.mlp.down_proj.weight": "model-00002-of-00007.safetensors",
|
262 |
+
"model.layers.6.mlp.gate_proj.weight": "model-00002-of-00007.safetensors",
|
263 |
+
"model.layers.6.mlp.up_proj.weight": "model-00002-of-00007.safetensors",
|
264 |
+
"model.layers.6.post_attention_layernorm.weight": "model-00002-of-00007.safetensors",
|
265 |
+
"model.layers.6.self_attn.k_proj.weight": "model-00002-of-00007.safetensors",
|
266 |
+
"model.layers.6.self_attn.o_proj.weight": "model-00002-of-00007.safetensors",
|
267 |
+
"model.layers.6.self_attn.q_proj.weight": "model-00002-of-00007.safetensors",
|
268 |
+
"model.layers.6.self_attn.v_proj.weight": "model-00002-of-00007.safetensors",
|
269 |
+
"model.layers.7.input_layernorm.weight": "model-00002-of-00007.safetensors",
|
270 |
+
"model.layers.7.mlp.down_proj.weight": "model-00002-of-00007.safetensors",
|
271 |
+
"model.layers.7.mlp.gate_proj.weight": "model-00002-of-00007.safetensors",
|
272 |
+
"model.layers.7.mlp.up_proj.weight": "model-00002-of-00007.safetensors",
|
273 |
+
"model.layers.7.post_attention_layernorm.weight": "model-00002-of-00007.safetensors",
|
274 |
+
"model.layers.7.self_attn.k_proj.weight": "model-00002-of-00007.safetensors",
|
275 |
+
"model.layers.7.self_attn.o_proj.weight": "model-00002-of-00007.safetensors",
|
276 |
+
"model.layers.7.self_attn.q_proj.weight": "model-00002-of-00007.safetensors",
|
277 |
+
"model.layers.7.self_attn.v_proj.weight": "model-00002-of-00007.safetensors",
|
278 |
+
"model.layers.8.input_layernorm.weight": "model-00003-of-00007.safetensors",
|
279 |
+
"model.layers.8.mlp.down_proj.weight": "model-00003-of-00007.safetensors",
|
280 |
+
"model.layers.8.mlp.gate_proj.weight": "model-00002-of-00007.safetensors",
|
281 |
+
"model.layers.8.mlp.up_proj.weight": "model-00002-of-00007.safetensors",
|
282 |
+
"model.layers.8.post_attention_layernorm.weight": "model-00003-of-00007.safetensors",
|
283 |
+
"model.layers.8.self_attn.k_proj.weight": "model-00002-of-00007.safetensors",
|
284 |
+
"model.layers.8.self_attn.o_proj.weight": "model-00002-of-00007.safetensors",
|
285 |
+
"model.layers.8.self_attn.q_proj.weight": "model-00002-of-00007.safetensors",
|
286 |
+
"model.layers.8.self_attn.v_proj.weight": "model-00002-of-00007.safetensors",
|
287 |
+
"model.layers.9.input_layernorm.weight": "model-00003-of-00007.safetensors",
|
288 |
+
"model.layers.9.mlp.down_proj.weight": "model-00003-of-00007.safetensors",
|
289 |
+
"model.layers.9.mlp.gate_proj.weight": "model-00003-of-00007.safetensors",
|
290 |
+
"model.layers.9.mlp.up_proj.weight": "model-00003-of-00007.safetensors",
|
291 |
+
"model.layers.9.post_attention_layernorm.weight": "model-00003-of-00007.safetensors",
|
292 |
+
"model.layers.9.self_attn.k_proj.weight": "model-00003-of-00007.safetensors",
|
293 |
+
"model.layers.9.self_attn.o_proj.weight": "model-00003-of-00007.safetensors",
|
294 |
+
"model.layers.9.self_attn.q_proj.weight": "model-00003-of-00007.safetensors",
|
295 |
+
"model.layers.9.self_attn.v_proj.weight": "model-00003-of-00007.safetensors",
|
296 |
+
"model.norm.weight": "model-00007-of-00007.safetensors"
|
297 |
+
}
|
298 |
+
}
|
checkpoint-12208/optimizer.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:2b3da7833ce8444c4142310e5c980b7533ef3d8f332db1d799290607f63377ce
|
3 |
+
size 16040396334
|
checkpoint-12208/rng_state.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:9d9cd6a0487226e5bd30d1846894c82af483733ab4381b75bae9c0745e05d405
|
3 |
+
size 14244
|
checkpoint-12208/scheduler.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:abe644ed33a3c4139223f0857a985127f3e6fbaa8c89fa14b57671b49ca52c21
|
3 |
+
size 1064
|
checkpoint-12208/trainer_state.json
ADDED
@@ -0,0 +1,2784 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": null,
|
3 |
+
"best_model_checkpoint": null,
|
4 |
+
"epoch": 0.520275309510111,
|
5 |
+
"eval_steps": 500,
|
6 |
+
"global_step": 12208,
|
7 |
+
"is_hyper_param_search": false,
|
8 |
+
"is_local_process_zero": true,
|
9 |
+
"is_world_process_zero": true,
|
10 |
+
"log_history": [
|
11 |
+
{
|
12 |
+
"epoch": 0.001321144707963093,
|
13 |
+
"grad_norm": 29.45369529724121,
|
14 |
+
"learning_rate": 1.0157273918741808e-06,
|
15 |
+
"loss": 9.356,
|
16 |
+
"step": 31
|
17 |
+
},
|
18 |
+
{
|
19 |
+
"epoch": 0.002642289415926186,
|
20 |
+
"grad_norm": 17.081205368041992,
|
21 |
+
"learning_rate": 2.0314547837483616e-06,
|
22 |
+
"loss": 7.7447,
|
23 |
+
"step": 62
|
24 |
+
},
|
25 |
+
{
|
26 |
+
"epoch": 0.00396343412388928,
|
27 |
+
"grad_norm": 17.875776290893555,
|
28 |
+
"learning_rate": 3.0471821756225426e-06,
|
29 |
+
"loss": 6.3787,
|
30 |
+
"step": 93
|
31 |
+
},
|
32 |
+
{
|
33 |
+
"epoch": 0.005284578831852372,
|
34 |
+
"grad_norm": 38.05577087402344,
|
35 |
+
"learning_rate": 4.062909567496723e-06,
|
36 |
+
"loss": 5.1973,
|
37 |
+
"step": 124
|
38 |
+
},
|
39 |
+
{
|
40 |
+
"epoch": 0.006605723539815466,
|
41 |
+
"grad_norm": 20.137739181518555,
|
42 |
+
"learning_rate": 5.078636959370905e-06,
|
43 |
+
"loss": 4.6404,
|
44 |
+
"step": 155
|
45 |
+
},
|
46 |
+
{
|
47 |
+
"epoch": 0.00792686824777856,
|
48 |
+
"grad_norm": 15.796778678894043,
|
49 |
+
"learning_rate": 6.094364351245085e-06,
|
50 |
+
"loss": 4.3168,
|
51 |
+
"step": 186
|
52 |
+
},
|
53 |
+
{
|
54 |
+
"epoch": 0.009248012955741652,
|
55 |
+
"grad_norm": 18.784709930419922,
|
56 |
+
"learning_rate": 7.110091743119267e-06,
|
57 |
+
"loss": 4.0553,
|
58 |
+
"step": 217
|
59 |
+
},
|
60 |
+
{
|
61 |
+
"epoch": 0.010569157663704745,
|
62 |
+
"grad_norm": 23.772998809814453,
|
63 |
+
"learning_rate": 8.125819134993446e-06,
|
64 |
+
"loss": 3.84,
|
65 |
+
"step": 248
|
66 |
+
},
|
67 |
+
{
|
68 |
+
"epoch": 0.011890302371667839,
|
69 |
+
"grad_norm": 14.564051628112793,
|
70 |
+
"learning_rate": 9.141546526867629e-06,
|
71 |
+
"loss": 3.7012,
|
72 |
+
"step": 279
|
73 |
+
},
|
74 |
+
{
|
75 |
+
"epoch": 0.013211447079630931,
|
76 |
+
"grad_norm": 14.735116004943848,
|
77 |
+
"learning_rate": 1.015727391874181e-05,
|
78 |
+
"loss": 3.5595,
|
79 |
+
"step": 310
|
80 |
+
},
|
81 |
+
{
|
82 |
+
"epoch": 0.014532591787594026,
|
83 |
+
"grad_norm": 13.88759708404541,
|
84 |
+
"learning_rate": 1.117300131061599e-05,
|
85 |
+
"loss": 3.4515,
|
86 |
+
"step": 341
|
87 |
+
},
|
88 |
+
{
|
89 |
+
"epoch": 0.01585373649555712,
|
90 |
+
"grad_norm": 10.884685516357422,
|
91 |
+
"learning_rate": 1.218872870249017e-05,
|
92 |
+
"loss": 3.3299,
|
93 |
+
"step": 372
|
94 |
+
},
|
95 |
+
{
|
96 |
+
"epoch": 0.01717488120352021,
|
97 |
+
"grad_norm": 12.495129585266113,
|
98 |
+
"learning_rate": 1.3204456094364351e-05,
|
99 |
+
"loss": 3.2453,
|
100 |
+
"step": 403
|
101 |
+
},
|
102 |
+
{
|
103 |
+
"epoch": 0.018496025911483305,
|
104 |
+
"grad_norm": 11.930519104003906,
|
105 |
+
"learning_rate": 1.4220183486238533e-05,
|
106 |
+
"loss": 3.1447,
|
107 |
+
"step": 434
|
108 |
+
},
|
109 |
+
{
|
110 |
+
"epoch": 0.0198171706194464,
|
111 |
+
"grad_norm": 7.951854228973389,
|
112 |
+
"learning_rate": 1.5235910878112714e-05,
|
113 |
+
"loss": 3.0765,
|
114 |
+
"step": 465
|
115 |
+
},
|
116 |
+
{
|
117 |
+
"epoch": 0.02113831532740949,
|
118 |
+
"grad_norm": 8.87326717376709,
|
119 |
+
"learning_rate": 1.6251638269986893e-05,
|
120 |
+
"loss": 3.0296,
|
121 |
+
"step": 496
|
122 |
+
},
|
123 |
+
{
|
124 |
+
"epoch": 0.022459460035372584,
|
125 |
+
"grad_norm": 8.348654747009277,
|
126 |
+
"learning_rate": 1.7267365661861077e-05,
|
127 |
+
"loss": 2.9469,
|
128 |
+
"step": 527
|
129 |
+
},
|
130 |
+
{
|
131 |
+
"epoch": 0.023780604743335678,
|
132 |
+
"grad_norm": 7.966938495635986,
|
133 |
+
"learning_rate": 1.8283093053735257e-05,
|
134 |
+
"loss": 2.8941,
|
135 |
+
"step": 558
|
136 |
+
},
|
137 |
+
{
|
138 |
+
"epoch": 0.02510174945129877,
|
139 |
+
"grad_norm": 6.656867027282715,
|
140 |
+
"learning_rate": 1.9298820445609438e-05,
|
141 |
+
"loss": 2.8428,
|
142 |
+
"step": 589
|
143 |
+
},
|
144 |
+
{
|
145 |
+
"epoch": 0.026422894159261863,
|
146 |
+
"grad_norm": 6.973931312561035,
|
147 |
+
"learning_rate": 2.031454783748362e-05,
|
148 |
+
"loss": 2.7875,
|
149 |
+
"step": 620
|
150 |
+
},
|
151 |
+
{
|
152 |
+
"epoch": 0.027744038867224957,
|
153 |
+
"grad_norm": 6.903556823730469,
|
154 |
+
"learning_rate": 2.13302752293578e-05,
|
155 |
+
"loss": 2.7264,
|
156 |
+
"step": 651
|
157 |
+
},
|
158 |
+
{
|
159 |
+
"epoch": 0.02906518357518805,
|
160 |
+
"grad_norm": 7.422015190124512,
|
161 |
+
"learning_rate": 2.234600262123198e-05,
|
162 |
+
"loss": 2.6833,
|
163 |
+
"step": 682
|
164 |
+
},
|
165 |
+
{
|
166 |
+
"epoch": 0.030386328283151142,
|
167 |
+
"grad_norm": 6.663395404815674,
|
168 |
+
"learning_rate": 2.336173001310616e-05,
|
169 |
+
"loss": 2.6303,
|
170 |
+
"step": 713
|
171 |
+
},
|
172 |
+
{
|
173 |
+
"epoch": 0.03170747299111424,
|
174 |
+
"grad_norm": 6.743407249450684,
|
175 |
+
"learning_rate": 2.437745740498034e-05,
|
176 |
+
"loss": 2.578,
|
177 |
+
"step": 744
|
178 |
+
},
|
179 |
+
{
|
180 |
+
"epoch": 0.03302861769907733,
|
181 |
+
"grad_norm": 5.852759838104248,
|
182 |
+
"learning_rate": 2.5393184796854525e-05,
|
183 |
+
"loss": 2.5248,
|
184 |
+
"step": 775
|
185 |
+
},
|
186 |
+
{
|
187 |
+
"epoch": 0.03434976240704042,
|
188 |
+
"grad_norm": 5.186204433441162,
|
189 |
+
"learning_rate": 2.6408912188728702e-05,
|
190 |
+
"loss": 2.5051,
|
191 |
+
"step": 806
|
192 |
+
},
|
193 |
+
{
|
194 |
+
"epoch": 0.035670907115003515,
|
195 |
+
"grad_norm": 5.873666286468506,
|
196 |
+
"learning_rate": 2.7424639580602886e-05,
|
197 |
+
"loss": 2.4878,
|
198 |
+
"step": 837
|
199 |
+
},
|
200 |
+
{
|
201 |
+
"epoch": 0.03699205182296661,
|
202 |
+
"grad_norm": 6.269757270812988,
|
203 |
+
"learning_rate": 2.8440366972477066e-05,
|
204 |
+
"loss": 2.4272,
|
205 |
+
"step": 868
|
206 |
+
},
|
207 |
+
{
|
208 |
+
"epoch": 0.038313196530929704,
|
209 |
+
"grad_norm": 5.196881294250488,
|
210 |
+
"learning_rate": 2.9456094364351244e-05,
|
211 |
+
"loss": 2.3863,
|
212 |
+
"step": 899
|
213 |
+
},
|
214 |
+
{
|
215 |
+
"epoch": 0.0396343412388928,
|
216 |
+
"grad_norm": 4.899730682373047,
|
217 |
+
"learning_rate": 3.0471821756225428e-05,
|
218 |
+
"loss": 2.3714,
|
219 |
+
"step": 930
|
220 |
+
},
|
221 |
+
{
|
222 |
+
"epoch": 0.04095548594685589,
|
223 |
+
"grad_norm": 4.69920015335083,
|
224 |
+
"learning_rate": 3.148754914809961e-05,
|
225 |
+
"loss": 2.3456,
|
226 |
+
"step": 961
|
227 |
+
},
|
228 |
+
{
|
229 |
+
"epoch": 0.04227663065481898,
|
230 |
+
"grad_norm": 5.293018341064453,
|
231 |
+
"learning_rate": 3.2503276539973785e-05,
|
232 |
+
"loss": 2.3162,
|
233 |
+
"step": 992
|
234 |
+
},
|
235 |
+
{
|
236 |
+
"epoch": 0.043597775362782074,
|
237 |
+
"grad_norm": 4.992343902587891,
|
238 |
+
"learning_rate": 3.351900393184797e-05,
|
239 |
+
"loss": 2.2939,
|
240 |
+
"step": 1023
|
241 |
+
},
|
242 |
+
{
|
243 |
+
"epoch": 0.04491892007074517,
|
244 |
+
"grad_norm": 4.305331230163574,
|
245 |
+
"learning_rate": 3.453473132372215e-05,
|
246 |
+
"loss": 2.275,
|
247 |
+
"step": 1054
|
248 |
+
},
|
249 |
+
{
|
250 |
+
"epoch": 0.04624006477870826,
|
251 |
+
"grad_norm": 4.863211631774902,
|
252 |
+
"learning_rate": 3.555045871559633e-05,
|
253 |
+
"loss": 2.2618,
|
254 |
+
"step": 1085
|
255 |
+
},
|
256 |
+
{
|
257 |
+
"epoch": 0.047561209486671356,
|
258 |
+
"grad_norm": 4.6537251472473145,
|
259 |
+
"learning_rate": 3.6566186107470514e-05,
|
260 |
+
"loss": 2.2584,
|
261 |
+
"step": 1116
|
262 |
+
},
|
263 |
+
{
|
264 |
+
"epoch": 0.04888235419463445,
|
265 |
+
"grad_norm": 7.502182483673096,
|
266 |
+
"learning_rate": 3.7581913499344695e-05,
|
267 |
+
"loss": 2.244,
|
268 |
+
"step": 1147
|
269 |
+
},
|
270 |
+
{
|
271 |
+
"epoch": 0.05020349890259754,
|
272 |
+
"grad_norm": 4.560093879699707,
|
273 |
+
"learning_rate": 3.8597640891218876e-05,
|
274 |
+
"loss": 2.2054,
|
275 |
+
"step": 1178
|
276 |
+
},
|
277 |
+
{
|
278 |
+
"epoch": 0.05152464361056063,
|
279 |
+
"grad_norm": 4.21810245513916,
|
280 |
+
"learning_rate": 3.9613368283093056e-05,
|
281 |
+
"loss": 2.1923,
|
282 |
+
"step": 1209
|
283 |
+
},
|
284 |
+
{
|
285 |
+
"epoch": 0.052845788318523726,
|
286 |
+
"grad_norm": 3.815044403076172,
|
287 |
+
"learning_rate": 4.062909567496724e-05,
|
288 |
+
"loss": 2.1746,
|
289 |
+
"step": 1240
|
290 |
+
},
|
291 |
+
{
|
292 |
+
"epoch": 0.05416693302648682,
|
293 |
+
"grad_norm": 3.4870846271514893,
|
294 |
+
"learning_rate": 4.164482306684142e-05,
|
295 |
+
"loss": 2.1751,
|
296 |
+
"step": 1271
|
297 |
+
},
|
298 |
+
{
|
299 |
+
"epoch": 0.055488077734449914,
|
300 |
+
"grad_norm": 3.8318536281585693,
|
301 |
+
"learning_rate": 4.26605504587156e-05,
|
302 |
+
"loss": 2.1773,
|
303 |
+
"step": 1302
|
304 |
+
},
|
305 |
+
{
|
306 |
+
"epoch": 0.05680922244241301,
|
307 |
+
"grad_norm": 3.6395630836486816,
|
308 |
+
"learning_rate": 4.367627785058978e-05,
|
309 |
+
"loss": 2.1534,
|
310 |
+
"step": 1333
|
311 |
+
},
|
312 |
+
{
|
313 |
+
"epoch": 0.0581303671503761,
|
314 |
+
"grad_norm": 3.4870851039886475,
|
315 |
+
"learning_rate": 4.469200524246396e-05,
|
316 |
+
"loss": 2.1373,
|
317 |
+
"step": 1364
|
318 |
+
},
|
319 |
+
{
|
320 |
+
"epoch": 0.05945151185833919,
|
321 |
+
"grad_norm": 3.533464193344116,
|
322 |
+
"learning_rate": 4.570773263433814e-05,
|
323 |
+
"loss": 2.104,
|
324 |
+
"step": 1395
|
325 |
+
},
|
326 |
+
{
|
327 |
+
"epoch": 0.060772656566302284,
|
328 |
+
"grad_norm": 3.7605605125427246,
|
329 |
+
"learning_rate": 4.672346002621232e-05,
|
330 |
+
"loss": 2.1497,
|
331 |
+
"step": 1426
|
332 |
+
},
|
333 |
+
{
|
334 |
+
"epoch": 0.06209380127426538,
|
335 |
+
"grad_norm": 3.331261396408081,
|
336 |
+
"learning_rate": 4.77391874180865e-05,
|
337 |
+
"loss": 2.103,
|
338 |
+
"step": 1457
|
339 |
+
},
|
340 |
+
{
|
341 |
+
"epoch": 0.06341494598222848,
|
342 |
+
"grad_norm": 3.4388535022735596,
|
343 |
+
"learning_rate": 4.875491480996068e-05,
|
344 |
+
"loss": 2.1017,
|
345 |
+
"step": 1488
|
346 |
+
},
|
347 |
+
{
|
348 |
+
"epoch": 0.06473609069019157,
|
349 |
+
"grad_norm": 3.3586745262145996,
|
350 |
+
"learning_rate": 4.977064220183487e-05,
|
351 |
+
"loss": 2.0883,
|
352 |
+
"step": 1519
|
353 |
+
},
|
354 |
+
{
|
355 |
+
"epoch": 0.06605723539815465,
|
356 |
+
"grad_norm": 3.0805885791778564,
|
357 |
+
"learning_rate": 4.9999915451558777e-05,
|
358 |
+
"loss": 2.0741,
|
359 |
+
"step": 1550
|
360 |
+
},
|
361 |
+
{
|
362 |
+
"epoch": 0.06737838010611776,
|
363 |
+
"grad_norm": 3.1708438396453857,
|
364 |
+
"learning_rate": 4.999955597496219e-05,
|
365 |
+
"loss": 2.0718,
|
366 |
+
"step": 1581
|
367 |
+
},
|
368 |
+
{
|
369 |
+
"epoch": 0.06869952481408084,
|
370 |
+
"grad_norm": 3.03056001663208,
|
371 |
+
"learning_rate": 4.9998914381774255e-05,
|
372 |
+
"loss": 2.0673,
|
373 |
+
"step": 1612
|
374 |
+
},
|
375 |
+
{
|
376 |
+
"epoch": 0.07002066952204394,
|
377 |
+
"grad_norm": 2.7995362281799316,
|
378 |
+
"learning_rate": 4.999799067923527e-05,
|
379 |
+
"loss": 2.0683,
|
380 |
+
"step": 1643
|
381 |
+
},
|
382 |
+
{
|
383 |
+
"epoch": 0.07134181423000703,
|
384 |
+
"grad_norm": 3.116344451904297,
|
385 |
+
"learning_rate": 4.999678487776908e-05,
|
386 |
+
"loss": 2.0231,
|
387 |
+
"step": 1674
|
388 |
+
},
|
389 |
+
{
|
390 |
+
"epoch": 0.07266295893797013,
|
391 |
+
"grad_norm": 3.1621696949005127,
|
392 |
+
"learning_rate": 4.9995296990983006e-05,
|
393 |
+
"loss": 2.0391,
|
394 |
+
"step": 1705
|
395 |
+
},
|
396 |
+
{
|
397 |
+
"epoch": 0.07398410364593322,
|
398 |
+
"grad_norm": 2.8406624794006348,
|
399 |
+
"learning_rate": 4.999352703566763e-05,
|
400 |
+
"loss": 2.0132,
|
401 |
+
"step": 1736
|
402 |
+
},
|
403 |
+
{
|
404 |
+
"epoch": 0.0753052483538963,
|
405 |
+
"grad_norm": 2.570624351501465,
|
406 |
+
"learning_rate": 4.999147503179668e-05,
|
407 |
+
"loss": 2.0116,
|
408 |
+
"step": 1767
|
409 |
+
},
|
410 |
+
{
|
411 |
+
"epoch": 0.07662639306185941,
|
412 |
+
"grad_norm": 2.7663609981536865,
|
413 |
+
"learning_rate": 4.998914100252672e-05,
|
414 |
+
"loss": 2.0127,
|
415 |
+
"step": 1798
|
416 |
+
},
|
417 |
+
{
|
418 |
+
"epoch": 0.0779475377698225,
|
419 |
+
"grad_norm": 2.5649290084838867,
|
420 |
+
"learning_rate": 4.998652497419696e-05,
|
421 |
+
"loss": 2.0033,
|
422 |
+
"step": 1829
|
423 |
+
},
|
424 |
+
{
|
425 |
+
"epoch": 0.0792686824777856,
|
426 |
+
"grad_norm": 2.575486183166504,
|
427 |
+
"learning_rate": 4.9983626976328927e-05,
|
428 |
+
"loss": 2.005,
|
429 |
+
"step": 1860
|
430 |
+
},
|
431 |
+
{
|
432 |
+
"epoch": 0.08058982718574868,
|
433 |
+
"grad_norm": 2.509678840637207,
|
434 |
+
"learning_rate": 4.998044704162613e-05,
|
435 |
+
"loss": 1.9824,
|
436 |
+
"step": 1891
|
437 |
+
},
|
438 |
+
{
|
439 |
+
"epoch": 0.08191097189371178,
|
440 |
+
"grad_norm": 2.6347391605377197,
|
441 |
+
"learning_rate": 4.9976985205973705e-05,
|
442 |
+
"loss": 1.9571,
|
443 |
+
"step": 1922
|
444 |
+
},
|
445 |
+
{
|
446 |
+
"epoch": 0.08323211660167487,
|
447 |
+
"grad_norm": 2.5539751052856445,
|
448 |
+
"learning_rate": 4.997324150843799e-05,
|
449 |
+
"loss": 1.9782,
|
450 |
+
"step": 1953
|
451 |
+
},
|
452 |
+
{
|
453 |
+
"epoch": 0.08455326130963796,
|
454 |
+
"grad_norm": 10.463569641113281,
|
455 |
+
"learning_rate": 4.99692159912661e-05,
|
456 |
+
"loss": 1.9713,
|
457 |
+
"step": 1984
|
458 |
+
},
|
459 |
+
{
|
460 |
+
"epoch": 0.08587440601760106,
|
461 |
+
"grad_norm": 2.604071617126465,
|
462 |
+
"learning_rate": 4.996490869988546e-05,
|
463 |
+
"loss": 1.9769,
|
464 |
+
"step": 2015
|
465 |
+
},
|
466 |
+
{
|
467 |
+
"epoch": 0.08719555072556415,
|
468 |
+
"grad_norm": 2.4612362384796143,
|
469 |
+
"learning_rate": 4.996031968290326e-05,
|
470 |
+
"loss": 1.9463,
|
471 |
+
"step": 2046
|
472 |
+
},
|
473 |
+
{
|
474 |
+
"epoch": 0.08851669543352725,
|
475 |
+
"grad_norm": 2.539299488067627,
|
476 |
+
"learning_rate": 4.995544899210594e-05,
|
477 |
+
"loss": 1.9414,
|
478 |
+
"step": 2077
|
479 |
+
},
|
480 |
+
{
|
481 |
+
"epoch": 0.08983784014149034,
|
482 |
+
"grad_norm": 2.6650774478912354,
|
483 |
+
"learning_rate": 4.9950296682458583e-05,
|
484 |
+
"loss": 1.9371,
|
485 |
+
"step": 2108
|
486 |
+
},
|
487 |
+
{
|
488 |
+
"epoch": 0.09115898484945342,
|
489 |
+
"grad_norm": 2.5480291843414307,
|
490 |
+
"learning_rate": 4.994486281210429e-05,
|
491 |
+
"loss": 1.9581,
|
492 |
+
"step": 2139
|
493 |
+
},
|
494 |
+
{
|
495 |
+
"epoch": 0.09248012955741652,
|
496 |
+
"grad_norm": 2.4799551963806152,
|
497 |
+
"learning_rate": 4.9939147442363566e-05,
|
498 |
+
"loss": 1.9524,
|
499 |
+
"step": 2170
|
500 |
+
},
|
501 |
+
{
|
502 |
+
"epoch": 0.09380127426537961,
|
503 |
+
"grad_norm": 2.3326504230499268,
|
504 |
+
"learning_rate": 4.9933150637733574e-05,
|
505 |
+
"loss": 1.9319,
|
506 |
+
"step": 2201
|
507 |
+
},
|
508 |
+
{
|
509 |
+
"epoch": 0.09512241897334271,
|
510 |
+
"grad_norm": 2.3550055027008057,
|
511 |
+
"learning_rate": 4.992687246588743e-05,
|
512 |
+
"loss": 1.9015,
|
513 |
+
"step": 2232
|
514 |
+
},
|
515 |
+
{
|
516 |
+
"epoch": 0.0964435636813058,
|
517 |
+
"grad_norm": 2.422797918319702,
|
518 |
+
"learning_rate": 4.992031299767347e-05,
|
519 |
+
"loss": 1.9364,
|
520 |
+
"step": 2263
|
521 |
+
},
|
522 |
+
{
|
523 |
+
"epoch": 0.0977647083892689,
|
524 |
+
"grad_norm": 2.2776873111724854,
|
525 |
+
"learning_rate": 4.9913472307114386e-05,
|
526 |
+
"loss": 1.9102,
|
527 |
+
"step": 2294
|
528 |
+
},
|
529 |
+
{
|
530 |
+
"epoch": 0.09908585309723199,
|
531 |
+
"grad_norm": 2.3031086921691895,
|
532 |
+
"learning_rate": 4.9906350471406446e-05,
|
533 |
+
"loss": 1.9193,
|
534 |
+
"step": 2325
|
535 |
+
},
|
536 |
+
{
|
537 |
+
"epoch": 0.10040699780519508,
|
538 |
+
"grad_norm": 2.2281057834625244,
|
539 |
+
"learning_rate": 4.989894757091861e-05,
|
540 |
+
"loss": 1.9143,
|
541 |
+
"step": 2356
|
542 |
+
},
|
543 |
+
{
|
544 |
+
"epoch": 0.10172814251315818,
|
545 |
+
"grad_norm": 2.39752459526062,
|
546 |
+
"learning_rate": 4.989126368919158e-05,
|
547 |
+
"loss": 1.905,
|
548 |
+
"step": 2387
|
549 |
+
},
|
550 |
+
{
|
551 |
+
"epoch": 0.10304928722112126,
|
552 |
+
"grad_norm": 2.3098957538604736,
|
553 |
+
"learning_rate": 4.988329891293693e-05,
|
554 |
+
"loss": 1.9204,
|
555 |
+
"step": 2418
|
556 |
+
},
|
557 |
+
{
|
558 |
+
"epoch": 0.10437043192908436,
|
559 |
+
"grad_norm": 2.244088649749756,
|
560 |
+
"learning_rate": 4.987505333203608e-05,
|
561 |
+
"loss": 1.8836,
|
562 |
+
"step": 2449
|
563 |
+
},
|
564 |
+
{
|
565 |
+
"epoch": 0.10569157663704745,
|
566 |
+
"grad_norm": 2.3035812377929688,
|
567 |
+
"learning_rate": 4.9866527039539276e-05,
|
568 |
+
"loss": 1.9097,
|
569 |
+
"step": 2480
|
570 |
+
},
|
571 |
+
{
|
572 |
+
"epoch": 0.10701272134501055,
|
573 |
+
"grad_norm": 2.2249033451080322,
|
574 |
+
"learning_rate": 4.9857720131664594e-05,
|
575 |
+
"loss": 1.8804,
|
576 |
+
"step": 2511
|
577 |
+
},
|
578 |
+
{
|
579 |
+
"epoch": 0.10833386605297364,
|
580 |
+
"grad_norm": 2.180612325668335,
|
581 |
+
"learning_rate": 4.9848632707796773e-05,
|
582 |
+
"loss": 1.8848,
|
583 |
+
"step": 2542
|
584 |
+
},
|
585 |
+
{
|
586 |
+
"epoch": 0.10965501076093673,
|
587 |
+
"grad_norm": 2.2042863368988037,
|
588 |
+
"learning_rate": 4.9839264870486155e-05,
|
589 |
+
"loss": 1.8879,
|
590 |
+
"step": 2573
|
591 |
+
},
|
592 |
+
{
|
593 |
+
"epoch": 0.11097615546889983,
|
594 |
+
"grad_norm": 2.278650999069214,
|
595 |
+
"learning_rate": 4.9829616725447526e-05,
|
596 |
+
"loss": 1.8728,
|
597 |
+
"step": 2604
|
598 |
+
},
|
599 |
+
{
|
600 |
+
"epoch": 0.11229730017686292,
|
601 |
+
"grad_norm": 2.2380714416503906,
|
602 |
+
"learning_rate": 4.981968838155888e-05,
|
603 |
+
"loss": 1.8927,
|
604 |
+
"step": 2635
|
605 |
+
},
|
606 |
+
{
|
607 |
+
"epoch": 0.11361844488482602,
|
608 |
+
"grad_norm": 2.062289237976074,
|
609 |
+
"learning_rate": 4.980947995086024e-05,
|
610 |
+
"loss": 1.8706,
|
611 |
+
"step": 2666
|
612 |
+
},
|
613 |
+
{
|
614 |
+
"epoch": 0.1149395895927891,
|
615 |
+
"grad_norm": 2.169900894165039,
|
616 |
+
"learning_rate": 4.979899154855234e-05,
|
617 |
+
"loss": 1.8753,
|
618 |
+
"step": 2697
|
619 |
+
},
|
620 |
+
{
|
621 |
+
"epoch": 0.1162607343007522,
|
622 |
+
"grad_norm": 2.1450119018554688,
|
623 |
+
"learning_rate": 4.9788223292995386e-05,
|
624 |
+
"loss": 1.8685,
|
625 |
+
"step": 2728
|
626 |
+
},
|
627 |
+
{
|
628 |
+
"epoch": 0.11758187900871529,
|
629 |
+
"grad_norm": 2.285205125808716,
|
630 |
+
"learning_rate": 4.977717530570768e-05,
|
631 |
+
"loss": 1.8601,
|
632 |
+
"step": 2759
|
633 |
+
},
|
634 |
+
{
|
635 |
+
"epoch": 0.11890302371667838,
|
636 |
+
"grad_norm": 2.1305880546569824,
|
637 |
+
"learning_rate": 4.976584771136425e-05,
|
638 |
+
"loss": 1.8557,
|
639 |
+
"step": 2790
|
640 |
+
},
|
641 |
+
{
|
642 |
+
"epoch": 0.12022416842464148,
|
643 |
+
"grad_norm": 2.0517284870147705,
|
644 |
+
"learning_rate": 4.975424063779547e-05,
|
645 |
+
"loss": 1.8587,
|
646 |
+
"step": 2821
|
647 |
+
},
|
648 |
+
{
|
649 |
+
"epoch": 0.12154531313260457,
|
650 |
+
"grad_norm": 2.190729856491089,
|
651 |
+
"learning_rate": 4.974235421598557e-05,
|
652 |
+
"loss": 1.8431,
|
653 |
+
"step": 2852
|
654 |
+
},
|
655 |
+
{
|
656 |
+
"epoch": 0.12286645784056767,
|
657 |
+
"grad_norm": 2.133803367614746,
|
658 |
+
"learning_rate": 4.973018858007122e-05,
|
659 |
+
"loss": 1.8492,
|
660 |
+
"step": 2883
|
661 |
+
},
|
662 |
+
{
|
663 |
+
"epoch": 0.12418760254853076,
|
664 |
+
"grad_norm": 2.3807687759399414,
|
665 |
+
"learning_rate": 4.9717743867339963e-05,
|
666 |
+
"loss": 1.8391,
|
667 |
+
"step": 2914
|
668 |
+
},
|
669 |
+
{
|
670 |
+
"epoch": 0.12550874725649386,
|
671 |
+
"grad_norm": 2.0250234603881836,
|
672 |
+
"learning_rate": 4.9705020218228695e-05,
|
673 |
+
"loss": 1.8465,
|
674 |
+
"step": 2945
|
675 |
+
},
|
676 |
+
{
|
677 |
+
"epoch": 0.12682989196445696,
|
678 |
+
"grad_norm": 2.1557273864746094,
|
679 |
+
"learning_rate": 4.969201777632205e-05,
|
680 |
+
"loss": 1.8346,
|
681 |
+
"step": 2976
|
682 |
+
},
|
683 |
+
{
|
684 |
+
"epoch": 0.12815103667242003,
|
685 |
+
"grad_norm": 1.9695699214935303,
|
686 |
+
"learning_rate": 4.9678736688350846e-05,
|
687 |
+
"loss": 1.8423,
|
688 |
+
"step": 3007
|
689 |
+
},
|
690 |
+
{
|
691 |
+
"epoch": 0.12947218138038313,
|
692 |
+
"grad_norm": 2.1525843143463135,
|
693 |
+
"learning_rate": 4.966517710419033e-05,
|
694 |
+
"loss": 1.851,
|
695 |
+
"step": 3038
|
696 |
+
},
|
697 |
+
{
|
698 |
+
"epoch": 0.13079332608834623,
|
699 |
+
"grad_norm": 1.9812391996383667,
|
700 |
+
"learning_rate": 4.965133917685858e-05,
|
701 |
+
"loss": 1.8338,
|
702 |
+
"step": 3069
|
703 |
+
},
|
704 |
+
{
|
705 |
+
"epoch": 0.1321144707963093,
|
706 |
+
"grad_norm": 2.2273776531219482,
|
707 |
+
"learning_rate": 4.9637223062514714e-05,
|
708 |
+
"loss": 1.8329,
|
709 |
+
"step": 3100
|
710 |
+
},
|
711 |
+
{
|
712 |
+
"epoch": 0.1334356155042724,
|
713 |
+
"grad_norm": 2.1103451251983643,
|
714 |
+
"learning_rate": 4.962282892045718e-05,
|
715 |
+
"loss": 1.8243,
|
716 |
+
"step": 3131
|
717 |
+
},
|
718 |
+
{
|
719 |
+
"epoch": 0.1347567602122355,
|
720 |
+
"grad_norm": 2.083226203918457,
|
721 |
+
"learning_rate": 4.9608156913121904e-05,
|
722 |
+
"loss": 1.8254,
|
723 |
+
"step": 3162
|
724 |
+
},
|
725 |
+
{
|
726 |
+
"epoch": 0.1360779049201986,
|
727 |
+
"grad_norm": 1.878396987915039,
|
728 |
+
"learning_rate": 4.959320720608049e-05,
|
729 |
+
"loss": 1.819,
|
730 |
+
"step": 3193
|
731 |
+
},
|
732 |
+
{
|
733 |
+
"epoch": 0.13739904962816168,
|
734 |
+
"grad_norm": 1.9980756044387817,
|
735 |
+
"learning_rate": 4.9577979968038354e-05,
|
736 |
+
"loss": 1.8391,
|
737 |
+
"step": 3224
|
738 |
+
},
|
739 |
+
{
|
740 |
+
"epoch": 0.13872019433612479,
|
741 |
+
"grad_norm": 1.977419376373291,
|
742 |
+
"learning_rate": 4.956247537083282e-05,
|
743 |
+
"loss": 1.8233,
|
744 |
+
"step": 3255
|
745 |
+
},
|
746 |
+
{
|
747 |
+
"epoch": 0.1400413390440879,
|
748 |
+
"grad_norm": 1.9977376461029053,
|
749 |
+
"learning_rate": 4.9546693589431145e-05,
|
750 |
+
"loss": 1.8254,
|
751 |
+
"step": 3286
|
752 |
+
},
|
753 |
+
{
|
754 |
+
"epoch": 0.14136248375205096,
|
755 |
+
"grad_norm": 1.8682738542556763,
|
756 |
+
"learning_rate": 4.9530634801928595e-05,
|
757 |
+
"loss": 1.8154,
|
758 |
+
"step": 3317
|
759 |
+
},
|
760 |
+
{
|
761 |
+
"epoch": 0.14268362846001406,
|
762 |
+
"grad_norm": 1.9372395277023315,
|
763 |
+
"learning_rate": 4.9514299189546395e-05,
|
764 |
+
"loss": 1.8229,
|
765 |
+
"step": 3348
|
766 |
+
},
|
767 |
+
{
|
768 |
+
"epoch": 0.14400477316797716,
|
769 |
+
"grad_norm": 1.9475616216659546,
|
770 |
+
"learning_rate": 4.949768693662973e-05,
|
771 |
+
"loss": 1.8122,
|
772 |
+
"step": 3379
|
773 |
+
},
|
774 |
+
{
|
775 |
+
"epoch": 0.14532591787594026,
|
776 |
+
"grad_norm": 1.8302438259124756,
|
777 |
+
"learning_rate": 4.948079823064559e-05,
|
778 |
+
"loss": 1.8275,
|
779 |
+
"step": 3410
|
780 |
+
},
|
781 |
+
{
|
782 |
+
"epoch": 0.14664706258390334,
|
783 |
+
"grad_norm": 1.9195733070373535,
|
784 |
+
"learning_rate": 4.946363326218074e-05,
|
785 |
+
"loss": 1.8288,
|
786 |
+
"step": 3441
|
787 |
+
},
|
788 |
+
{
|
789 |
+
"epoch": 0.14796820729186644,
|
790 |
+
"grad_norm": 2.056960105895996,
|
791 |
+
"learning_rate": 4.9446192224939525e-05,
|
792 |
+
"loss": 1.8267,
|
793 |
+
"step": 3472
|
794 |
+
},
|
795 |
+
{
|
796 |
+
"epoch": 0.14928935199982954,
|
797 |
+
"grad_norm": 1.9093526601791382,
|
798 |
+
"learning_rate": 4.942847531574167e-05,
|
799 |
+
"loss": 1.8118,
|
800 |
+
"step": 3503
|
801 |
+
},
|
802 |
+
{
|
803 |
+
"epoch": 0.1506104967077926,
|
804 |
+
"grad_norm": 1.800930380821228,
|
805 |
+
"learning_rate": 4.941048273452008e-05,
|
806 |
+
"loss": 1.7869,
|
807 |
+
"step": 3534
|
808 |
+
},
|
809 |
+
{
|
810 |
+
"epoch": 0.1519316414157557,
|
811 |
+
"grad_norm": 2.0274600982666016,
|
812 |
+
"learning_rate": 4.9392214684318605e-05,
|
813 |
+
"loss": 1.7937,
|
814 |
+
"step": 3565
|
815 |
+
},
|
816 |
+
{
|
817 |
+
"epoch": 0.15325278612371881,
|
818 |
+
"grad_norm": 1.880557656288147,
|
819 |
+
"learning_rate": 4.93736713712897e-05,
|
820 |
+
"loss": 1.793,
|
821 |
+
"step": 3596
|
822 |
+
},
|
823 |
+
{
|
824 |
+
"epoch": 0.15457393083168192,
|
825 |
+
"grad_norm": 1.9970703125,
|
826 |
+
"learning_rate": 4.9354853004692124e-05,
|
827 |
+
"loss": 1.7922,
|
828 |
+
"step": 3627
|
829 |
+
},
|
830 |
+
{
|
831 |
+
"epoch": 0.155895075539645,
|
832 |
+
"grad_norm": 2.0239968299865723,
|
833 |
+
"learning_rate": 4.93357597968886e-05,
|
834 |
+
"loss": 1.8026,
|
835 |
+
"step": 3658
|
836 |
+
},
|
837 |
+
{
|
838 |
+
"epoch": 0.1572162202476081,
|
839 |
+
"grad_norm": 1.8837428092956543,
|
840 |
+
"learning_rate": 4.931639196334338e-05,
|
841 |
+
"loss": 1.7898,
|
842 |
+
"step": 3689
|
843 |
+
},
|
844 |
+
{
|
845 |
+
"epoch": 0.1585373649555712,
|
846 |
+
"grad_norm": 1.8433760404586792,
|
847 |
+
"learning_rate": 4.9296749722619826e-05,
|
848 |
+
"loss": 1.7854,
|
849 |
+
"step": 3720
|
850 |
+
},
|
851 |
+
{
|
852 |
+
"epoch": 0.15985850966353427,
|
853 |
+
"grad_norm": 1.898555874824524,
|
854 |
+
"learning_rate": 4.9276833296377966e-05,
|
855 |
+
"loss": 1.8011,
|
856 |
+
"step": 3751
|
857 |
+
},
|
858 |
+
{
|
859 |
+
"epoch": 0.16117965437149737,
|
860 |
+
"grad_norm": 1.9116350412368774,
|
861 |
+
"learning_rate": 4.925664290937196e-05,
|
862 |
+
"loss": 1.7759,
|
863 |
+
"step": 3782
|
864 |
+
},
|
865 |
+
{
|
866 |
+
"epoch": 0.16250079907946047,
|
867 |
+
"grad_norm": 1.8142945766448975,
|
868 |
+
"learning_rate": 4.9236178789447576e-05,
|
869 |
+
"loss": 1.7712,
|
870 |
+
"step": 3813
|
871 |
+
},
|
872 |
+
{
|
873 |
+
"epoch": 0.16382194378742357,
|
874 |
+
"grad_norm": 1.8500661849975586,
|
875 |
+
"learning_rate": 4.921544116753962e-05,
|
876 |
+
"loss": 1.7885,
|
877 |
+
"step": 3844
|
878 |
+
},
|
879 |
+
{
|
880 |
+
"epoch": 0.16514308849538664,
|
881 |
+
"grad_norm": 1.9167587757110596,
|
882 |
+
"learning_rate": 4.919443027766935e-05,
|
883 |
+
"loss": 1.792,
|
884 |
+
"step": 3875
|
885 |
+
},
|
886 |
+
{
|
887 |
+
"epoch": 0.16646423320334974,
|
888 |
+
"grad_norm": 1.891123652458191,
|
889 |
+
"learning_rate": 4.91731463569418e-05,
|
890 |
+
"loss": 1.7963,
|
891 |
+
"step": 3906
|
892 |
+
},
|
893 |
+
{
|
894 |
+
"epoch": 0.16778537791131284,
|
895 |
+
"grad_norm": 1.7814100980758667,
|
896 |
+
"learning_rate": 4.915158964554312e-05,
|
897 |
+
"loss": 1.7836,
|
898 |
+
"step": 3937
|
899 |
+
},
|
900 |
+
{
|
901 |
+
"epoch": 0.16910652261927592,
|
902 |
+
"grad_norm": 2.0991482734680176,
|
903 |
+
"learning_rate": 4.912976038673786e-05,
|
904 |
+
"loss": 1.7788,
|
905 |
+
"step": 3968
|
906 |
+
},
|
907 |
+
{
|
908 |
+
"epoch": 0.17042766732723902,
|
909 |
+
"grad_norm": 1.8836603164672852,
|
910 |
+
"learning_rate": 4.9107658826866254e-05,
|
911 |
+
"loss": 1.7885,
|
912 |
+
"step": 3999
|
913 |
+
},
|
914 |
+
{
|
915 |
+
"epoch": 0.17174881203520212,
|
916 |
+
"grad_norm": 1.8759151697158813,
|
917 |
+
"learning_rate": 4.908528521534139e-05,
|
918 |
+
"loss": 1.7622,
|
919 |
+
"step": 4030
|
920 |
+
},
|
921 |
+
{
|
922 |
+
"epoch": 0.17306995674316522,
|
923 |
+
"grad_norm": 1.9080370664596558,
|
924 |
+
"learning_rate": 4.906263980464644e-05,
|
925 |
+
"loss": 1.7778,
|
926 |
+
"step": 4061
|
927 |
+
},
|
928 |
+
{
|
929 |
+
"epoch": 0.1743911014511283,
|
930 |
+
"grad_norm": 1.776382327079773,
|
931 |
+
"learning_rate": 4.903972285033178e-05,
|
932 |
+
"loss": 1.7415,
|
933 |
+
"step": 4092
|
934 |
+
},
|
935 |
+
{
|
936 |
+
"epoch": 0.1757122461590914,
|
937 |
+
"grad_norm": 1.8282791376113892,
|
938 |
+
"learning_rate": 4.901653461101213e-05,
|
939 |
+
"loss": 1.776,
|
940 |
+
"step": 4123
|
941 |
+
},
|
942 |
+
{
|
943 |
+
"epoch": 0.1770333908670545,
|
944 |
+
"grad_norm": 1.7473266124725342,
|
945 |
+
"learning_rate": 4.8993075348363626e-05,
|
946 |
+
"loss": 1.7625,
|
947 |
+
"step": 4154
|
948 |
+
},
|
949 |
+
{
|
950 |
+
"epoch": 0.17835453557501757,
|
951 |
+
"grad_norm": 1.849486231803894,
|
952 |
+
"learning_rate": 4.896934532712084e-05,
|
953 |
+
"loss": 1.7645,
|
954 |
+
"step": 4185
|
955 |
+
},
|
956 |
+
{
|
957 |
+
"epoch": 0.17967568028298067,
|
958 |
+
"grad_norm": 1.772829294204712,
|
959 |
+
"learning_rate": 4.8945344815073846e-05,
|
960 |
+
"loss": 1.7563,
|
961 |
+
"step": 4216
|
962 |
+
},
|
963 |
+
{
|
964 |
+
"epoch": 0.18099682499094377,
|
965 |
+
"grad_norm": 1.8278394937515259,
|
966 |
+
"learning_rate": 4.892107408306516e-05,
|
967 |
+
"loss": 1.7591,
|
968 |
+
"step": 4247
|
969 |
+
},
|
970 |
+
{
|
971 |
+
"epoch": 0.18231796969890685,
|
972 |
+
"grad_norm": 1.7458796501159668,
|
973 |
+
"learning_rate": 4.889653340498669e-05,
|
974 |
+
"loss": 1.7444,
|
975 |
+
"step": 4278
|
976 |
+
},
|
977 |
+
{
|
978 |
+
"epoch": 0.18363911440686995,
|
979 |
+
"grad_norm": 1.8150420188903809,
|
980 |
+
"learning_rate": 4.8871723057776664e-05,
|
981 |
+
"loss": 1.7486,
|
982 |
+
"step": 4309
|
983 |
+
},
|
984 |
+
{
|
985 |
+
"epoch": 0.18496025911483305,
|
986 |
+
"grad_norm": 1.914010763168335,
|
987 |
+
"learning_rate": 4.8846643321416476e-05,
|
988 |
+
"loss": 1.7456,
|
989 |
+
"step": 4340
|
990 |
+
},
|
991 |
+
{
|
992 |
+
"epoch": 0.18628140382279615,
|
993 |
+
"grad_norm": 1.7134442329406738,
|
994 |
+
"learning_rate": 4.882129447892753e-05,
|
995 |
+
"loss": 1.7521,
|
996 |
+
"step": 4371
|
997 |
+
},
|
998 |
+
{
|
999 |
+
"epoch": 0.18760254853075922,
|
1000 |
+
"grad_norm": 1.6600676774978638,
|
1001 |
+
"learning_rate": 4.8795676816368076e-05,
|
1002 |
+
"loss": 1.7416,
|
1003 |
+
"step": 4402
|
1004 |
+
},
|
1005 |
+
{
|
1006 |
+
"epoch": 0.18892369323872232,
|
1007 |
+
"grad_norm": 1.8451883792877197,
|
1008 |
+
"learning_rate": 4.876979062282995e-05,
|
1009 |
+
"loss": 1.7595,
|
1010 |
+
"step": 4433
|
1011 |
+
},
|
1012 |
+
{
|
1013 |
+
"epoch": 0.19024483794668542,
|
1014 |
+
"grad_norm": 1.8544697761535645,
|
1015 |
+
"learning_rate": 4.8743636190435325e-05,
|
1016 |
+
"loss": 1.7669,
|
1017 |
+
"step": 4464
|
1018 |
+
},
|
1019 |
+
{
|
1020 |
+
"epoch": 0.1915659826546485,
|
1021 |
+
"grad_norm": 1.704041600227356,
|
1022 |
+
"learning_rate": 4.871721381433344e-05,
|
1023 |
+
"loss": 1.7403,
|
1024 |
+
"step": 4495
|
1025 |
+
},
|
1026 |
+
{
|
1027 |
+
"epoch": 0.1928871273626116,
|
1028 |
+
"grad_norm": 1.6593477725982666,
|
1029 |
+
"learning_rate": 4.869052379269719e-05,
|
1030 |
+
"loss": 1.7359,
|
1031 |
+
"step": 4526
|
1032 |
+
},
|
1033 |
+
{
|
1034 |
+
"epoch": 0.1942082720705747,
|
1035 |
+
"grad_norm": 1.7819074392318726,
|
1036 |
+
"learning_rate": 4.866356642671985e-05,
|
1037 |
+
"loss": 1.7485,
|
1038 |
+
"step": 4557
|
1039 |
+
},
|
1040 |
+
{
|
1041 |
+
"epoch": 0.1955294167785378,
|
1042 |
+
"grad_norm": 1.840776801109314,
|
1043 |
+
"learning_rate": 4.8636342020611634e-05,
|
1044 |
+
"loss": 1.7566,
|
1045 |
+
"step": 4588
|
1046 |
+
},
|
1047 |
+
{
|
1048 |
+
"epoch": 0.19685056148650087,
|
1049 |
+
"grad_norm": 1.9981670379638672,
|
1050 |
+
"learning_rate": 4.860885088159626e-05,
|
1051 |
+
"loss": 1.747,
|
1052 |
+
"step": 4619
|
1053 |
+
},
|
1054 |
+
{
|
1055 |
+
"epoch": 0.19817170619446398,
|
1056 |
+
"grad_norm": 1.8164016008377075,
|
1057 |
+
"learning_rate": 4.858109331990751e-05,
|
1058 |
+
"loss": 1.7575,
|
1059 |
+
"step": 4650
|
1060 |
+
},
|
1061 |
+
{
|
1062 |
+
"epoch": 0.19949285090242708,
|
1063 |
+
"grad_norm": 1.7589538097381592,
|
1064 |
+
"learning_rate": 4.855306964878567e-05,
|
1065 |
+
"loss": 1.7387,
|
1066 |
+
"step": 4681
|
1067 |
+
},
|
1068 |
+
{
|
1069 |
+
"epoch": 0.20081399561039015,
|
1070 |
+
"grad_norm": 1.8388264179229736,
|
1071 |
+
"learning_rate": 4.8524780184474084e-05,
|
1072 |
+
"loss": 1.7273,
|
1073 |
+
"step": 4712
|
1074 |
+
},
|
1075 |
+
{
|
1076 |
+
"epoch": 0.20213514031835325,
|
1077 |
+
"grad_norm": 1.7422165870666504,
|
1078 |
+
"learning_rate": 4.8496225246215496e-05,
|
1079 |
+
"loss": 1.7301,
|
1080 |
+
"step": 4743
|
1081 |
+
},
|
1082 |
+
{
|
1083 |
+
"epoch": 0.20345628502631635,
|
1084 |
+
"grad_norm": 1.6752463579177856,
|
1085 |
+
"learning_rate": 4.8467405156248505e-05,
|
1086 |
+
"loss": 1.7422,
|
1087 |
+
"step": 4774
|
1088 |
+
},
|
1089 |
+
{
|
1090 |
+
"epoch": 0.20477742973427945,
|
1091 |
+
"grad_norm": 6.59528923034668,
|
1092 |
+
"learning_rate": 4.843832023980392e-05,
|
1093 |
+
"loss": 1.748,
|
1094 |
+
"step": 4805
|
1095 |
+
},
|
1096 |
+
{
|
1097 |
+
"epoch": 0.20609857444224253,
|
1098 |
+
"grad_norm": 1.716232419013977,
|
1099 |
+
"learning_rate": 4.840897082510106e-05,
|
1100 |
+
"loss": 1.745,
|
1101 |
+
"step": 4836
|
1102 |
+
},
|
1103 |
+
{
|
1104 |
+
"epoch": 0.20741971915020563,
|
1105 |
+
"grad_norm": 1.7691062688827515,
|
1106 |
+
"learning_rate": 4.8379357243344084e-05,
|
1107 |
+
"loss": 1.7208,
|
1108 |
+
"step": 4867
|
1109 |
+
},
|
1110 |
+
{
|
1111 |
+
"epoch": 0.20874086385816873,
|
1112 |
+
"grad_norm": 1.6334593296051025,
|
1113 |
+
"learning_rate": 4.8349479828718236e-05,
|
1114 |
+
"loss": 1.7288,
|
1115 |
+
"step": 4898
|
1116 |
+
},
|
1117 |
+
{
|
1118 |
+
"epoch": 0.2100620085661318,
|
1119 |
+
"grad_norm": 1.6801882982254028,
|
1120 |
+
"learning_rate": 4.8319338918386075e-05,
|
1121 |
+
"loss": 1.7428,
|
1122 |
+
"step": 4929
|
1123 |
+
},
|
1124 |
+
{
|
1125 |
+
"epoch": 0.2113831532740949,
|
1126 |
+
"grad_norm": 1.6692436933517456,
|
1127 |
+
"learning_rate": 4.828893485248369e-05,
|
1128 |
+
"loss": 1.7286,
|
1129 |
+
"step": 4960
|
1130 |
+
},
|
1131 |
+
{
|
1132 |
+
"epoch": 0.212704297982058,
|
1133 |
+
"grad_norm": 1.731826663017273,
|
1134 |
+
"learning_rate": 4.825826797411682e-05,
|
1135 |
+
"loss": 1.7455,
|
1136 |
+
"step": 4991
|
1137 |
+
},
|
1138 |
+
{
|
1139 |
+
"epoch": 0.2140254426900211,
|
1140 |
+
"grad_norm": 1.689012050628662,
|
1141 |
+
"learning_rate": 4.822733862935702e-05,
|
1142 |
+
"loss": 1.7398,
|
1143 |
+
"step": 5022
|
1144 |
+
},
|
1145 |
+
{
|
1146 |
+
"epoch": 0.21534658739798418,
|
1147 |
+
"grad_norm": 1.6423673629760742,
|
1148 |
+
"learning_rate": 4.819614716723775e-05,
|
1149 |
+
"loss": 1.7305,
|
1150 |
+
"step": 5053
|
1151 |
+
},
|
1152 |
+
{
|
1153 |
+
"epoch": 0.21666773210594728,
|
1154 |
+
"grad_norm": 1.7029454708099365,
|
1155 |
+
"learning_rate": 4.8164693939750425e-05,
|
1156 |
+
"loss": 1.7355,
|
1157 |
+
"step": 5084
|
1158 |
+
},
|
1159 |
+
{
|
1160 |
+
"epoch": 0.21798887681391038,
|
1161 |
+
"grad_norm": 1.7331738471984863,
|
1162 |
+
"learning_rate": 4.813297930184042e-05,
|
1163 |
+
"loss": 1.7167,
|
1164 |
+
"step": 5115
|
1165 |
+
},
|
1166 |
+
{
|
1167 |
+
"epoch": 0.21931002152187345,
|
1168 |
+
"grad_norm": 1.729872226715088,
|
1169 |
+
"learning_rate": 4.810100361140314e-05,
|
1170 |
+
"loss": 1.7402,
|
1171 |
+
"step": 5146
|
1172 |
+
},
|
1173 |
+
{
|
1174 |
+
"epoch": 0.22063116622983656,
|
1175 |
+
"grad_norm": 1.675826907157898,
|
1176 |
+
"learning_rate": 4.8068767229279885e-05,
|
1177 |
+
"loss": 1.7129,
|
1178 |
+
"step": 5177
|
1179 |
+
},
|
1180 |
+
{
|
1181 |
+
"epoch": 0.22195231093779966,
|
1182 |
+
"grad_norm": 1.7073479890823364,
|
1183 |
+
"learning_rate": 4.8036270519253854e-05,
|
1184 |
+
"loss": 1.7292,
|
1185 |
+
"step": 5208
|
1186 |
+
},
|
1187 |
+
{
|
1188 |
+
"epoch": 0.22327345564576276,
|
1189 |
+
"grad_norm": 1.67916738986969,
|
1190 |
+
"learning_rate": 4.8003513848046e-05,
|
1191 |
+
"loss": 1.7417,
|
1192 |
+
"step": 5239
|
1193 |
+
},
|
1194 |
+
{
|
1195 |
+
"epoch": 0.22459460035372583,
|
1196 |
+
"grad_norm": 1.751838207244873,
|
1197 |
+
"learning_rate": 4.79704975853109e-05,
|
1198 |
+
"loss": 1.7167,
|
1199 |
+
"step": 5270
|
1200 |
+
},
|
1201 |
+
{
|
1202 |
+
"epoch": 0.22591574506168893,
|
1203 |
+
"grad_norm": 1.7748228311538696,
|
1204 |
+
"learning_rate": 4.793722210363262e-05,
|
1205 |
+
"loss": 1.7175,
|
1206 |
+
"step": 5301
|
1207 |
+
},
|
1208 |
+
{
|
1209 |
+
"epoch": 0.22723688976965203,
|
1210 |
+
"grad_norm": 1.6792418956756592,
|
1211 |
+
"learning_rate": 4.7903687778520414e-05,
|
1212 |
+
"loss": 1.7537,
|
1213 |
+
"step": 5332
|
1214 |
+
},
|
1215 |
+
{
|
1216 |
+
"epoch": 0.2285580344776151,
|
1217 |
+
"grad_norm": 1.77089524269104,
|
1218 |
+
"learning_rate": 4.7869894988404593e-05,
|
1219 |
+
"loss": 1.7181,
|
1220 |
+
"step": 5363
|
1221 |
+
},
|
1222 |
+
{
|
1223 |
+
"epoch": 0.2298791791855782,
|
1224 |
+
"grad_norm": 1.795487642288208,
|
1225 |
+
"learning_rate": 4.783584411463221e-05,
|
1226 |
+
"loss": 1.7216,
|
1227 |
+
"step": 5394
|
1228 |
+
},
|
1229 |
+
{
|
1230 |
+
"epoch": 0.2312003238935413,
|
1231 |
+
"grad_norm": 1.8036439418792725,
|
1232 |
+
"learning_rate": 4.780153554146274e-05,
|
1233 |
+
"loss": 1.7172,
|
1234 |
+
"step": 5425
|
1235 |
+
},
|
1236 |
+
{
|
1237 |
+
"epoch": 0.2325214686015044,
|
1238 |
+
"grad_norm": 1.683451771736145,
|
1239 |
+
"learning_rate": 4.7766969656063766e-05,
|
1240 |
+
"loss": 1.7371,
|
1241 |
+
"step": 5456
|
1242 |
+
},
|
1243 |
+
{
|
1244 |
+
"epoch": 0.23384261330946748,
|
1245 |
+
"grad_norm": 1.7509490251541138,
|
1246 |
+
"learning_rate": 4.773214684850662e-05,
|
1247 |
+
"loss": 1.7245,
|
1248 |
+
"step": 5487
|
1249 |
+
},
|
1250 |
+
{
|
1251 |
+
"epoch": 0.23516375801743059,
|
1252 |
+
"grad_norm": 1.6572686433792114,
|
1253 |
+
"learning_rate": 4.769706751176193e-05,
|
1254 |
+
"loss": 1.7108,
|
1255 |
+
"step": 5518
|
1256 |
+
},
|
1257 |
+
{
|
1258 |
+
"epoch": 0.2364849027253937,
|
1259 |
+
"grad_norm": 1.7440228462219238,
|
1260 |
+
"learning_rate": 4.7661732041695264e-05,
|
1261 |
+
"loss": 1.7115,
|
1262 |
+
"step": 5549
|
1263 |
+
},
|
1264 |
+
{
|
1265 |
+
"epoch": 0.23780604743335676,
|
1266 |
+
"grad_norm": 1.613687515258789,
|
1267 |
+
"learning_rate": 4.762614083706258e-05,
|
1268 |
+
"loss": 1.7079,
|
1269 |
+
"step": 5580
|
1270 |
+
},
|
1271 |
+
{
|
1272 |
+
"epoch": 0.23912719214131986,
|
1273 |
+
"grad_norm": 1.4738078117370605,
|
1274 |
+
"learning_rate": 4.759029429950581e-05,
|
1275 |
+
"loss": 1.7097,
|
1276 |
+
"step": 5611
|
1277 |
+
},
|
1278 |
+
{
|
1279 |
+
"epoch": 0.24044833684928296,
|
1280 |
+
"grad_norm": 1.6921734809875488,
|
1281 |
+
"learning_rate": 4.7554192833548235e-05,
|
1282 |
+
"loss": 1.7187,
|
1283 |
+
"step": 5642
|
1284 |
+
},
|
1285 |
+
{
|
1286 |
+
"epoch": 0.24176948155724606,
|
1287 |
+
"grad_norm": 1.665814757347107,
|
1288 |
+
"learning_rate": 4.751783684659e-05,
|
1289 |
+
"loss": 1.7302,
|
1290 |
+
"step": 5673
|
1291 |
+
},
|
1292 |
+
{
|
1293 |
+
"epoch": 0.24309062626520914,
|
1294 |
+
"grad_norm": 1.5973016023635864,
|
1295 |
+
"learning_rate": 4.748122674890348e-05,
|
1296 |
+
"loss": 1.718,
|
1297 |
+
"step": 5704
|
1298 |
+
},
|
1299 |
+
{
|
1300 |
+
"epoch": 0.24441177097317224,
|
1301 |
+
"grad_norm": 1.6037402153015137,
|
1302 |
+
"learning_rate": 4.7444362953628654e-05,
|
1303 |
+
"loss": 1.7213,
|
1304 |
+
"step": 5735
|
1305 |
+
},
|
1306 |
+
{
|
1307 |
+
"epoch": 0.24573291568113534,
|
1308 |
+
"grad_norm": 1.6214978694915771,
|
1309 |
+
"learning_rate": 4.7407245876768424e-05,
|
1310 |
+
"loss": 1.7343,
|
1311 |
+
"step": 5766
|
1312 |
+
},
|
1313 |
+
{
|
1314 |
+
"epoch": 0.2470540603890984,
|
1315 |
+
"grad_norm": 1.758327603340149,
|
1316 |
+
"learning_rate": 4.736987593718397e-05,
|
1317 |
+
"loss": 1.6993,
|
1318 |
+
"step": 5797
|
1319 |
+
},
|
1320 |
+
{
|
1321 |
+
"epoch": 0.2483752050970615,
|
1322 |
+
"grad_norm": 1.7455657720565796,
|
1323 |
+
"learning_rate": 4.733225355658999e-05,
|
1324 |
+
"loss": 1.7147,
|
1325 |
+
"step": 5828
|
1326 |
+
},
|
1327 |
+
{
|
1328 |
+
"epoch": 0.24969634980502461,
|
1329 |
+
"grad_norm": 1.6355786323547363,
|
1330 |
+
"learning_rate": 4.7294379159549926e-05,
|
1331 |
+
"loss": 1.7284,
|
1332 |
+
"step": 5859
|
1333 |
+
},
|
1334 |
+
{
|
1335 |
+
"epoch": 0.2510174945129877,
|
1336 |
+
"grad_norm": 1.6421799659729004,
|
1337 |
+
"learning_rate": 4.725625317347119e-05,
|
1338 |
+
"loss": 1.6986,
|
1339 |
+
"step": 5890
|
1340 |
+
},
|
1341 |
+
{
|
1342 |
+
"epoch": 0.2523386392209508,
|
1343 |
+
"grad_norm": 1.6713591814041138,
|
1344 |
+
"learning_rate": 4.7217876028600374e-05,
|
1345 |
+
"loss": 1.7083,
|
1346 |
+
"step": 5921
|
1347 |
+
},
|
1348 |
+
{
|
1349 |
+
"epoch": 0.2536597839289139,
|
1350 |
+
"grad_norm": 1.7056536674499512,
|
1351 |
+
"learning_rate": 4.717924815801832e-05,
|
1352 |
+
"loss": 1.7339,
|
1353 |
+
"step": 5952
|
1354 |
+
},
|
1355 |
+
{
|
1356 |
+
"epoch": 0.254980928636877,
|
1357 |
+
"grad_norm": 1.6911596059799194,
|
1358 |
+
"learning_rate": 4.714036999763532e-05,
|
1359 |
+
"loss": 1.7068,
|
1360 |
+
"step": 5983
|
1361 |
+
},
|
1362 |
+
{
|
1363 |
+
"epoch": 0.25630207334484006,
|
1364 |
+
"grad_norm": 1.68338143825531,
|
1365 |
+
"learning_rate": 4.7101241986186116e-05,
|
1366 |
+
"loss": 1.7153,
|
1367 |
+
"step": 6014
|
1368 |
+
},
|
1369 |
+
{
|
1370 |
+
"epoch": 0.2576232180528032,
|
1371 |
+
"grad_norm": 1.6629693508148193,
|
1372 |
+
"learning_rate": 4.7061864565225e-05,
|
1373 |
+
"loss": 1.7178,
|
1374 |
+
"step": 6045
|
1375 |
+
},
|
1376 |
+
{
|
1377 |
+
"epoch": 0.25894436276076627,
|
1378 |
+
"grad_norm": 1.8833751678466797,
|
1379 |
+
"learning_rate": 4.702223817912081e-05,
|
1380 |
+
"loss": 1.6759,
|
1381 |
+
"step": 6076
|
1382 |
+
},
|
1383 |
+
{
|
1384 |
+
"epoch": 0.26026550746872934,
|
1385 |
+
"grad_norm": 1.8015220165252686,
|
1386 |
+
"learning_rate": 4.698236327505195e-05,
|
1387 |
+
"loss": 1.6893,
|
1388 |
+
"step": 6107
|
1389 |
+
},
|
1390 |
+
{
|
1391 |
+
"epoch": 0.26158665217669247,
|
1392 |
+
"grad_norm": 1.761045217514038,
|
1393 |
+
"learning_rate": 4.694224030300127e-05,
|
1394 |
+
"loss": 1.7015,
|
1395 |
+
"step": 6138
|
1396 |
+
},
|
1397 |
+
{
|
1398 |
+
"epoch": 0.26290779688465554,
|
1399 |
+
"grad_norm": 1.6620142459869385,
|
1400 |
+
"learning_rate": 4.690186971575107e-05,
|
1401 |
+
"loss": 1.6897,
|
1402 |
+
"step": 6169
|
1403 |
+
},
|
1404 |
+
{
|
1405 |
+
"epoch": 0.2642289415926186,
|
1406 |
+
"grad_norm": 1.6513328552246094,
|
1407 |
+
"learning_rate": 4.6861251968877916e-05,
|
1408 |
+
"loss": 1.6926,
|
1409 |
+
"step": 6200
|
1410 |
+
},
|
1411 |
+
{
|
1412 |
+
"epoch": 0.26555008630058174,
|
1413 |
+
"grad_norm": 1.6536865234375,
|
1414 |
+
"learning_rate": 4.68203875207476e-05,
|
1415 |
+
"loss": 1.7193,
|
1416 |
+
"step": 6231
|
1417 |
+
},
|
1418 |
+
{
|
1419 |
+
"epoch": 0.2668712310085448,
|
1420 |
+
"grad_norm": 1.5718939304351807,
|
1421 |
+
"learning_rate": 4.677927683250983e-05,
|
1422 |
+
"loss": 1.6821,
|
1423 |
+
"step": 6262
|
1424 |
+
},
|
1425 |
+
{
|
1426 |
+
"epoch": 0.2681923757165079,
|
1427 |
+
"grad_norm": 1.6237717866897583,
|
1428 |
+
"learning_rate": 4.6737920368093156e-05,
|
1429 |
+
"loss": 1.7116,
|
1430 |
+
"step": 6293
|
1431 |
+
},
|
1432 |
+
{
|
1433 |
+
"epoch": 0.269513520424471,
|
1434 |
+
"grad_norm": 1.6111472845077515,
|
1435 |
+
"learning_rate": 4.669631859419965e-05,
|
1436 |
+
"loss": 1.7101,
|
1437 |
+
"step": 6324
|
1438 |
+
},
|
1439 |
+
{
|
1440 |
+
"epoch": 0.2708346651324341,
|
1441 |
+
"grad_norm": 1.711414098739624,
|
1442 |
+
"learning_rate": 4.6654471980299676e-05,
|
1443 |
+
"loss": 1.7053,
|
1444 |
+
"step": 6355
|
1445 |
+
},
|
1446 |
+
{
|
1447 |
+
"epoch": 0.2721558098403972,
|
1448 |
+
"grad_norm": 1.5804500579833984,
|
1449 |
+
"learning_rate": 4.661238099862658e-05,
|
1450 |
+
"loss": 1.6867,
|
1451 |
+
"step": 6386
|
1452 |
+
},
|
1453 |
+
{
|
1454 |
+
"epoch": 0.2734769545483603,
|
1455 |
+
"grad_norm": 1.5932157039642334,
|
1456 |
+
"learning_rate": 4.657004612417138e-05,
|
1457 |
+
"loss": 1.7181,
|
1458 |
+
"step": 6417
|
1459 |
+
},
|
1460 |
+
{
|
1461 |
+
"epoch": 0.27479809925632337,
|
1462 |
+
"grad_norm": 1.5526095628738403,
|
1463 |
+
"learning_rate": 4.6527467834677374e-05,
|
1464 |
+
"loss": 1.7178,
|
1465 |
+
"step": 6448
|
1466 |
+
},
|
1467 |
+
{
|
1468 |
+
"epoch": 0.2761192439642865,
|
1469 |
+
"grad_norm": 1.5979021787643433,
|
1470 |
+
"learning_rate": 4.648464661063478e-05,
|
1471 |
+
"loss": 1.6885,
|
1472 |
+
"step": 6479
|
1473 |
+
},
|
1474 |
+
{
|
1475 |
+
"epoch": 0.27744038867224957,
|
1476 |
+
"grad_norm": 1.5154697895050049,
|
1477 |
+
"learning_rate": 4.6441582935275264e-05,
|
1478 |
+
"loss": 1.6798,
|
1479 |
+
"step": 6510
|
1480 |
+
},
|
1481 |
+
{
|
1482 |
+
"epoch": 0.27876153338021264,
|
1483 |
+
"grad_norm": 1.6004109382629395,
|
1484 |
+
"learning_rate": 4.6398277294566586e-05,
|
1485 |
+
"loss": 1.6877,
|
1486 |
+
"step": 6541
|
1487 |
+
},
|
1488 |
+
{
|
1489 |
+
"epoch": 0.2800826780881758,
|
1490 |
+
"grad_norm": 1.7409225702285767,
|
1491 |
+
"learning_rate": 4.6354730177207e-05,
|
1492 |
+
"loss": 1.6877,
|
1493 |
+
"step": 6572
|
1494 |
+
},
|
1495 |
+
{
|
1496 |
+
"epoch": 0.28140382279613885,
|
1497 |
+
"grad_norm": 1.5840095281600952,
|
1498 |
+
"learning_rate": 4.6310942074619787e-05,
|
1499 |
+
"loss": 1.6885,
|
1500 |
+
"step": 6603
|
1501 |
+
},
|
1502 |
+
{
|
1503 |
+
"epoch": 0.2827249675041019,
|
1504 |
+
"grad_norm": 1.7218347787857056,
|
1505 |
+
"learning_rate": 4.626691348094777e-05,
|
1506 |
+
"loss": 1.6993,
|
1507 |
+
"step": 6634
|
1508 |
+
},
|
1509 |
+
{
|
1510 |
+
"epoch": 0.28404611221206505,
|
1511 |
+
"grad_norm": 1.6517518758773804,
|
1512 |
+
"learning_rate": 4.622264489304762e-05,
|
1513 |
+
"loss": 1.7086,
|
1514 |
+
"step": 6665
|
1515 |
+
},
|
1516 |
+
{
|
1517 |
+
"epoch": 0.2853672569200281,
|
1518 |
+
"grad_norm": 1.6828736066818237,
|
1519 |
+
"learning_rate": 4.617813681048434e-05,
|
1520 |
+
"loss": 1.6895,
|
1521 |
+
"step": 6696
|
1522 |
+
},
|
1523 |
+
{
|
1524 |
+
"epoch": 0.2866884016279912,
|
1525 |
+
"grad_norm": 1.6049277782440186,
|
1526 |
+
"learning_rate": 4.61333897355256e-05,
|
1527 |
+
"loss": 1.6929,
|
1528 |
+
"step": 6727
|
1529 |
+
},
|
1530 |
+
{
|
1531 |
+
"epoch": 0.2880095463359543,
|
1532 |
+
"grad_norm": 1.6272588968276978,
|
1533 |
+
"learning_rate": 4.608840417313604e-05,
|
1534 |
+
"loss": 1.693,
|
1535 |
+
"step": 6758
|
1536 |
+
},
|
1537 |
+
{
|
1538 |
+
"epoch": 0.2893306910439174,
|
1539 |
+
"grad_norm": 1.6424005031585693,
|
1540 |
+
"learning_rate": 4.6043180630971646e-05,
|
1541 |
+
"loss": 1.6882,
|
1542 |
+
"step": 6789
|
1543 |
+
},
|
1544 |
+
{
|
1545 |
+
"epoch": 0.2906518357518805,
|
1546 |
+
"grad_norm": 1.5532363653182983,
|
1547 |
+
"learning_rate": 4.599771961937391e-05,
|
1548 |
+
"loss": 1.6846,
|
1549 |
+
"step": 6820
|
1550 |
+
},
|
1551 |
+
{
|
1552 |
+
"epoch": 0.2919729804598436,
|
1553 |
+
"grad_norm": 1.566545009613037,
|
1554 |
+
"learning_rate": 4.5952021651364204e-05,
|
1555 |
+
"loss": 1.6694,
|
1556 |
+
"step": 6851
|
1557 |
+
},
|
1558 |
+
{
|
1559 |
+
"epoch": 0.2932941251678067,
|
1560 |
+
"grad_norm": 1.592480182647705,
|
1561 |
+
"learning_rate": 4.590608724263786e-05,
|
1562 |
+
"loss": 1.6689,
|
1563 |
+
"step": 6882
|
1564 |
+
},
|
1565 |
+
{
|
1566 |
+
"epoch": 0.2946152698757698,
|
1567 |
+
"grad_norm": 1.6120296716690063,
|
1568 |
+
"learning_rate": 4.585991691155845e-05,
|
1569 |
+
"loss": 1.6654,
|
1570 |
+
"step": 6913
|
1571 |
+
},
|
1572 |
+
{
|
1573 |
+
"epoch": 0.2959364145837329,
|
1574 |
+
"grad_norm": 1.5690969228744507,
|
1575 |
+
"learning_rate": 4.581351117915188e-05,
|
1576 |
+
"loss": 1.6586,
|
1577 |
+
"step": 6944
|
1578 |
+
},
|
1579 |
+
{
|
1580 |
+
"epoch": 0.29725755929169595,
|
1581 |
+
"grad_norm": 1.5756118297576904,
|
1582 |
+
"learning_rate": 4.5766870569100534e-05,
|
1583 |
+
"loss": 1.6859,
|
1584 |
+
"step": 6975
|
1585 |
+
},
|
1586 |
+
{
|
1587 |
+
"epoch": 0.2985787039996591,
|
1588 |
+
"grad_norm": 1.5164366960525513,
|
1589 |
+
"learning_rate": 4.571999560773736e-05,
|
1590 |
+
"loss": 1.6844,
|
1591 |
+
"step": 7006
|
1592 |
+
},
|
1593 |
+
{
|
1594 |
+
"epoch": 0.29989984870762215,
|
1595 |
+
"grad_norm": 1.488936424255371,
|
1596 |
+
"learning_rate": 4.5672886824039915e-05,
|
1597 |
+
"loss": 1.6897,
|
1598 |
+
"step": 7037
|
1599 |
+
},
|
1600 |
+
{
|
1601 |
+
"epoch": 0.3012209934155852,
|
1602 |
+
"grad_norm": 1.6014569997787476,
|
1603 |
+
"learning_rate": 4.5625544749624435e-05,
|
1604 |
+
"loss": 1.6821,
|
1605 |
+
"step": 7068
|
1606 |
+
},
|
1607 |
+
{
|
1608 |
+
"epoch": 0.30254213812354835,
|
1609 |
+
"grad_norm": 1.5514070987701416,
|
1610 |
+
"learning_rate": 4.5577969918739794e-05,
|
1611 |
+
"loss": 1.7017,
|
1612 |
+
"step": 7099
|
1613 |
+
},
|
1614 |
+
{
|
1615 |
+
"epoch": 0.3038632828315114,
|
1616 |
+
"grad_norm": 1.5641967058181763,
|
1617 |
+
"learning_rate": 4.5530162868261486e-05,
|
1618 |
+
"loss": 1.6809,
|
1619 |
+
"step": 7130
|
1620 |
+
},
|
1621 |
+
{
|
1622 |
+
"epoch": 0.3051844275394745,
|
1623 |
+
"grad_norm": 1.5185332298278809,
|
1624 |
+
"learning_rate": 4.548212413768558e-05,
|
1625 |
+
"loss": 1.6719,
|
1626 |
+
"step": 7161
|
1627 |
+
},
|
1628 |
+
{
|
1629 |
+
"epoch": 0.30650557224743763,
|
1630 |
+
"grad_norm": 1.497670292854309,
|
1631 |
+
"learning_rate": 4.543385426912261e-05,
|
1632 |
+
"loss": 1.6873,
|
1633 |
+
"step": 7192
|
1634 |
+
},
|
1635 |
+
{
|
1636 |
+
"epoch": 0.3078267169554007,
|
1637 |
+
"grad_norm": 1.6817424297332764,
|
1638 |
+
"learning_rate": 4.53853538072915e-05,
|
1639 |
+
"loss": 1.668,
|
1640 |
+
"step": 7223
|
1641 |
+
},
|
1642 |
+
{
|
1643 |
+
"epoch": 0.30914786166336383,
|
1644 |
+
"grad_norm": 1.561675786972046,
|
1645 |
+
"learning_rate": 4.533662329951336e-05,
|
1646 |
+
"loss": 1.678,
|
1647 |
+
"step": 7254
|
1648 |
+
},
|
1649 |
+
{
|
1650 |
+
"epoch": 0.3104690063713269,
|
1651 |
+
"grad_norm": 1.7712374925613403,
|
1652 |
+
"learning_rate": 4.528766329570536e-05,
|
1653 |
+
"loss": 1.6817,
|
1654 |
+
"step": 7285
|
1655 |
+
},
|
1656 |
+
{
|
1657 |
+
"epoch": 0.31179015107929,
|
1658 |
+
"grad_norm": 1.530474066734314,
|
1659 |
+
"learning_rate": 4.523847434837447e-05,
|
1660 |
+
"loss": 1.671,
|
1661 |
+
"step": 7316
|
1662 |
+
},
|
1663 |
+
{
|
1664 |
+
"epoch": 0.3131112957872531,
|
1665 |
+
"grad_norm": 1.8106886148452759,
|
1666 |
+
"learning_rate": 4.518905701261128e-05,
|
1667 |
+
"loss": 1.6532,
|
1668 |
+
"step": 7347
|
1669 |
+
},
|
1670 |
+
{
|
1671 |
+
"epoch": 0.3144324404952162,
|
1672 |
+
"grad_norm": 1.5035251379013062,
|
1673 |
+
"learning_rate": 4.5139411846083715e-05,
|
1674 |
+
"loss": 1.6651,
|
1675 |
+
"step": 7378
|
1676 |
+
},
|
1677 |
+
{
|
1678 |
+
"epoch": 0.31575358520317925,
|
1679 |
+
"grad_norm": 1.6194860935211182,
|
1680 |
+
"learning_rate": 4.508953940903073e-05,
|
1681 |
+
"loss": 1.6664,
|
1682 |
+
"step": 7409
|
1683 |
+
},
|
1684 |
+
{
|
1685 |
+
"epoch": 0.3170747299111424,
|
1686 |
+
"grad_norm": 1.5217773914337158,
|
1687 |
+
"learning_rate": 4.5039440264255994e-05,
|
1688 |
+
"loss": 1.6697,
|
1689 |
+
"step": 7440
|
1690 |
+
},
|
1691 |
+
{
|
1692 |
+
"epoch": 0.31839587461910546,
|
1693 |
+
"grad_norm": 1.670386552810669,
|
1694 |
+
"learning_rate": 4.498911497712155e-05,
|
1695 |
+
"loss": 1.6637,
|
1696 |
+
"step": 7471
|
1697 |
+
},
|
1698 |
+
{
|
1699 |
+
"epoch": 0.31971701932706853,
|
1700 |
+
"grad_norm": 1.680743932723999,
|
1701 |
+
"learning_rate": 4.493856411554142e-05,
|
1702 |
+
"loss": 1.6822,
|
1703 |
+
"step": 7502
|
1704 |
+
},
|
1705 |
+
{
|
1706 |
+
"epoch": 0.32103816403503166,
|
1707 |
+
"grad_norm": 1.628322958946228,
|
1708 |
+
"learning_rate": 4.4887788249975206e-05,
|
1709 |
+
"loss": 1.6615,
|
1710 |
+
"step": 7533
|
1711 |
+
},
|
1712 |
+
{
|
1713 |
+
"epoch": 0.32235930874299473,
|
1714 |
+
"grad_norm": 1.5849953889846802,
|
1715 |
+
"learning_rate": 4.4836787953421656e-05,
|
1716 |
+
"loss": 1.6637,
|
1717 |
+
"step": 7564
|
1718 |
+
},
|
1719 |
+
{
|
1720 |
+
"epoch": 0.3236804534509578,
|
1721 |
+
"grad_norm": 1.5066392421722412,
|
1722 |
+
"learning_rate": 4.478556380141218e-05,
|
1723 |
+
"loss": 1.6839,
|
1724 |
+
"step": 7595
|
1725 |
+
},
|
1726 |
+
{
|
1727 |
+
"epoch": 0.32500159815892093,
|
1728 |
+
"grad_norm": 1.6168526411056519,
|
1729 |
+
"learning_rate": 4.4734116372004375e-05,
|
1730 |
+
"loss": 1.6543,
|
1731 |
+
"step": 7626
|
1732 |
+
},
|
1733 |
+
{
|
1734 |
+
"epoch": 0.326322742866884,
|
1735 |
+
"grad_norm": 1.5073281526565552,
|
1736 |
+
"learning_rate": 4.4682446245775477e-05,
|
1737 |
+
"loss": 1.6752,
|
1738 |
+
"step": 7657
|
1739 |
+
},
|
1740 |
+
{
|
1741 |
+
"epoch": 0.32764388757484714,
|
1742 |
+
"grad_norm": 1.5694515705108643,
|
1743 |
+
"learning_rate": 4.463055400581586e-05,
|
1744 |
+
"loss": 1.6646,
|
1745 |
+
"step": 7688
|
1746 |
+
},
|
1747 |
+
{
|
1748 |
+
"epoch": 0.3289650322828102,
|
1749 |
+
"grad_norm": 1.5031605958938599,
|
1750 |
+
"learning_rate": 4.4578440237722374e-05,
|
1751 |
+
"loss": 1.6807,
|
1752 |
+
"step": 7719
|
1753 |
+
},
|
1754 |
+
{
|
1755 |
+
"epoch": 0.3302861769907733,
|
1756 |
+
"grad_norm": 1.4886877536773682,
|
1757 |
+
"learning_rate": 4.452610552959183e-05,
|
1758 |
+
"loss": 1.6644,
|
1759 |
+
"step": 7750
|
1760 |
+
},
|
1761 |
+
{
|
1762 |
+
"epoch": 0.3316073216987364,
|
1763 |
+
"grad_norm": 1.5978937149047852,
|
1764 |
+
"learning_rate": 4.447355047201428e-05,
|
1765 |
+
"loss": 1.6573,
|
1766 |
+
"step": 7781
|
1767 |
+
},
|
1768 |
+
{
|
1769 |
+
"epoch": 0.3329284664066995,
|
1770 |
+
"grad_norm": 1.4938329458236694,
|
1771 |
+
"learning_rate": 4.4420775658066414e-05,
|
1772 |
+
"loss": 1.6489,
|
1773 |
+
"step": 7812
|
1774 |
+
},
|
1775 |
+
{
|
1776 |
+
"epoch": 0.33424961111466256,
|
1777 |
+
"grad_norm": 1.541128396987915,
|
1778 |
+
"learning_rate": 4.436778168330484e-05,
|
1779 |
+
"loss": 1.6673,
|
1780 |
+
"step": 7843
|
1781 |
+
},
|
1782 |
+
{
|
1783 |
+
"epoch": 0.3355707558226257,
|
1784 |
+
"grad_norm": 1.5185847282409668,
|
1785 |
+
"learning_rate": 4.4314569145759353e-05,
|
1786 |
+
"loss": 1.6631,
|
1787 |
+
"step": 7874
|
1788 |
+
},
|
1789 |
+
{
|
1790 |
+
"epoch": 0.33689190053058876,
|
1791 |
+
"grad_norm": 1.5545519590377808,
|
1792 |
+
"learning_rate": 4.42611386459262e-05,
|
1793 |
+
"loss": 1.6535,
|
1794 |
+
"step": 7905
|
1795 |
+
},
|
1796 |
+
{
|
1797 |
+
"epoch": 0.33821304523855183,
|
1798 |
+
"grad_norm": 1.5892200469970703,
|
1799 |
+
"learning_rate": 4.420749078676133e-05,
|
1800 |
+
"loss": 1.6574,
|
1801 |
+
"step": 7936
|
1802 |
+
},
|
1803 |
+
{
|
1804 |
+
"epoch": 0.33953418994651496,
|
1805 |
+
"grad_norm": 1.5779627561569214,
|
1806 |
+
"learning_rate": 4.4153626173673516e-05,
|
1807 |
+
"loss": 1.6683,
|
1808 |
+
"step": 7967
|
1809 |
+
},
|
1810 |
+
{
|
1811 |
+
"epoch": 0.34085533465447804,
|
1812 |
+
"grad_norm": 1.5521479845046997,
|
1813 |
+
"learning_rate": 4.409954541451762e-05,
|
1814 |
+
"loss": 1.6599,
|
1815 |
+
"step": 7998
|
1816 |
+
},
|
1817 |
+
{
|
1818 |
+
"epoch": 0.3421764793624411,
|
1819 |
+
"grad_norm": 1.4845163822174072,
|
1820 |
+
"learning_rate": 4.404524911958764e-05,
|
1821 |
+
"loss": 1.6357,
|
1822 |
+
"step": 8029
|
1823 |
+
},
|
1824 |
+
{
|
1825 |
+
"epoch": 0.34349762407040424,
|
1826 |
+
"grad_norm": 1.4665591716766357,
|
1827 |
+
"learning_rate": 4.399073790160989e-05,
|
1828 |
+
"loss": 1.6577,
|
1829 |
+
"step": 8060
|
1830 |
+
},
|
1831 |
+
{
|
1832 |
+
"epoch": 0.3448187687783673,
|
1833 |
+
"grad_norm": 1.4990118741989136,
|
1834 |
+
"learning_rate": 4.393601237573607e-05,
|
1835 |
+
"loss": 1.6589,
|
1836 |
+
"step": 8091
|
1837 |
+
},
|
1838 |
+
{
|
1839 |
+
"epoch": 0.34613991348633044,
|
1840 |
+
"grad_norm": 1.6129504442214966,
|
1841 |
+
"learning_rate": 4.388107315953628e-05,
|
1842 |
+
"loss": 1.6719,
|
1843 |
+
"step": 8122
|
1844 |
+
},
|
1845 |
+
{
|
1846 |
+
"epoch": 0.3474610581942935,
|
1847 |
+
"grad_norm": 1.5837408304214478,
|
1848 |
+
"learning_rate": 4.382592087299212e-05,
|
1849 |
+
"loss": 1.6389,
|
1850 |
+
"step": 8153
|
1851 |
+
},
|
1852 |
+
{
|
1853 |
+
"epoch": 0.3487822029022566,
|
1854 |
+
"grad_norm": 1.4611998796463013,
|
1855 |
+
"learning_rate": 4.377055613848964e-05,
|
1856 |
+
"loss": 1.6568,
|
1857 |
+
"step": 8184
|
1858 |
+
},
|
1859 |
+
{
|
1860 |
+
"epoch": 0.3501033476102197,
|
1861 |
+
"grad_norm": 1.5456607341766357,
|
1862 |
+
"learning_rate": 4.3714979580812355e-05,
|
1863 |
+
"loss": 1.6442,
|
1864 |
+
"step": 8215
|
1865 |
+
},
|
1866 |
+
{
|
1867 |
+
"epoch": 0.3514244923181828,
|
1868 |
+
"grad_norm": 1.5393562316894531,
|
1869 |
+
"learning_rate": 4.365919182713416e-05,
|
1870 |
+
"loss": 1.6505,
|
1871 |
+
"step": 8246
|
1872 |
+
},
|
1873 |
+
{
|
1874 |
+
"epoch": 0.35274563702614586,
|
1875 |
+
"grad_norm": 1.5040944814682007,
|
1876 |
+
"learning_rate": 4.360319350701226e-05,
|
1877 |
+
"loss": 1.6701,
|
1878 |
+
"step": 8277
|
1879 |
+
},
|
1880 |
+
{
|
1881 |
+
"epoch": 0.354066781734109,
|
1882 |
+
"grad_norm": 1.5542012453079224,
|
1883 |
+
"learning_rate": 4.3546985252380115e-05,
|
1884 |
+
"loss": 1.6431,
|
1885 |
+
"step": 8308
|
1886 |
+
},
|
1887 |
+
{
|
1888 |
+
"epoch": 0.35538792644207207,
|
1889 |
+
"grad_norm": 1.4878984689712524,
|
1890 |
+
"learning_rate": 4.349056769754021e-05,
|
1891 |
+
"loss": 1.6543,
|
1892 |
+
"step": 8339
|
1893 |
+
},
|
1894 |
+
{
|
1895 |
+
"epoch": 0.35670907115003514,
|
1896 |
+
"grad_norm": 1.6049541234970093,
|
1897 |
+
"learning_rate": 4.3433941479156994e-05,
|
1898 |
+
"loss": 1.6415,
|
1899 |
+
"step": 8370
|
1900 |
+
},
|
1901 |
+
{
|
1902 |
+
"epoch": 0.35803021585799827,
|
1903 |
+
"grad_norm": 1.6094954013824463,
|
1904 |
+
"learning_rate": 4.3377107236249647e-05,
|
1905 |
+
"loss": 1.646,
|
1906 |
+
"step": 8401
|
1907 |
+
},
|
1908 |
+
{
|
1909 |
+
"epoch": 0.35935136056596134,
|
1910 |
+
"grad_norm": 1.5165326595306396,
|
1911 |
+
"learning_rate": 4.332006561018488e-05,
|
1912 |
+
"loss": 1.6575,
|
1913 |
+
"step": 8432
|
1914 |
+
},
|
1915 |
+
{
|
1916 |
+
"epoch": 0.3606725052739244,
|
1917 |
+
"grad_norm": 1.5776197910308838,
|
1918 |
+
"learning_rate": 4.3262817244669683e-05,
|
1919 |
+
"loss": 1.6556,
|
1920 |
+
"step": 8463
|
1921 |
+
},
|
1922 |
+
{
|
1923 |
+
"epoch": 0.36199364998188754,
|
1924 |
+
"grad_norm": 1.4522629976272583,
|
1925 |
+
"learning_rate": 4.3205362785744083e-05,
|
1926 |
+
"loss": 1.6583,
|
1927 |
+
"step": 8494
|
1928 |
+
},
|
1929 |
+
{
|
1930 |
+
"epoch": 0.3633147946898506,
|
1931 |
+
"grad_norm": 1.4910801649093628,
|
1932 |
+
"learning_rate": 4.314770288177384e-05,
|
1933 |
+
"loss": 1.638,
|
1934 |
+
"step": 8525
|
1935 |
+
},
|
1936 |
+
{
|
1937 |
+
"epoch": 0.3646359393978137,
|
1938 |
+
"grad_norm": 1.6230814456939697,
|
1939 |
+
"learning_rate": 4.308983818344313e-05,
|
1940 |
+
"loss": 1.6644,
|
1941 |
+
"step": 8556
|
1942 |
+
},
|
1943 |
+
{
|
1944 |
+
"epoch": 0.3659570841057768,
|
1945 |
+
"grad_norm": 1.6548675298690796,
|
1946 |
+
"learning_rate": 4.3031769343747206e-05,
|
1947 |
+
"loss": 1.639,
|
1948 |
+
"step": 8587
|
1949 |
+
},
|
1950 |
+
{
|
1951 |
+
"epoch": 0.3672782288137399,
|
1952 |
+
"grad_norm": 1.5451959371566772,
|
1953 |
+
"learning_rate": 4.297349701798505e-05,
|
1954 |
+
"loss": 1.6452,
|
1955 |
+
"step": 8618
|
1956 |
+
},
|
1957 |
+
{
|
1958 |
+
"epoch": 0.368599373521703,
|
1959 |
+
"grad_norm": 1.46851646900177,
|
1960 |
+
"learning_rate": 4.2915021863751916e-05,
|
1961 |
+
"loss": 1.6645,
|
1962 |
+
"step": 8649
|
1963 |
+
},
|
1964 |
+
{
|
1965 |
+
"epoch": 0.3699205182296661,
|
1966 |
+
"grad_norm": 1.4022047519683838,
|
1967 |
+
"learning_rate": 4.285634454093198e-05,
|
1968 |
+
"loss": 1.6556,
|
1969 |
+
"step": 8680
|
1970 |
+
},
|
1971 |
+
{
|
1972 |
+
"epoch": 0.37124166293762917,
|
1973 |
+
"grad_norm": 1.4209098815917969,
|
1974 |
+
"learning_rate": 4.279746571169086e-05,
|
1975 |
+
"loss": 1.6699,
|
1976 |
+
"step": 8711
|
1977 |
+
},
|
1978 |
+
{
|
1979 |
+
"epoch": 0.3725628076455923,
|
1980 |
+
"grad_norm": 1.4034055471420288,
|
1981 |
+
"learning_rate": 4.2738386040468136e-05,
|
1982 |
+
"loss": 1.6491,
|
1983 |
+
"step": 8742
|
1984 |
+
},
|
1985 |
+
{
|
1986 |
+
"epoch": 0.37388395235355537,
|
1987 |
+
"grad_norm": 1.4482676982879639,
|
1988 |
+
"learning_rate": 4.2679106193969866e-05,
|
1989 |
+
"loss": 1.6299,
|
1990 |
+
"step": 8773
|
1991 |
+
},
|
1992 |
+
{
|
1993 |
+
"epoch": 0.37520509706151844,
|
1994 |
+
"grad_norm": 1.542325496673584,
|
1995 |
+
"learning_rate": 4.261962684116106e-05,
|
1996 |
+
"loss": 1.6666,
|
1997 |
+
"step": 8804
|
1998 |
+
},
|
1999 |
+
{
|
2000 |
+
"epoch": 0.3765262417694816,
|
2001 |
+
"grad_norm": 1.4821662902832031,
|
2002 |
+
"learning_rate": 4.2559948653258145e-05,
|
2003 |
+
"loss": 1.6383,
|
2004 |
+
"step": 8835
|
2005 |
+
},
|
2006 |
+
{
|
2007 |
+
"epoch": 0.37784738647744465,
|
2008 |
+
"grad_norm": 1.445188283920288,
|
2009 |
+
"learning_rate": 4.250007230372134e-05,
|
2010 |
+
"loss": 1.6287,
|
2011 |
+
"step": 8866
|
2012 |
+
},
|
2013 |
+
{
|
2014 |
+
"epoch": 0.3791685311854077,
|
2015 |
+
"grad_norm": 1.5624685287475586,
|
2016 |
+
"learning_rate": 4.2439998468247126e-05,
|
2017 |
+
"loss": 1.6337,
|
2018 |
+
"step": 8897
|
2019 |
+
},
|
2020 |
+
{
|
2021 |
+
"epoch": 0.38048967589337085,
|
2022 |
+
"grad_norm": 1.7001335620880127,
|
2023 |
+
"learning_rate": 4.2379727824760566e-05,
|
2024 |
+
"loss": 1.6352,
|
2025 |
+
"step": 8928
|
2026 |
+
},
|
2027 |
+
{
|
2028 |
+
"epoch": 0.3818108206013339,
|
2029 |
+
"grad_norm": 1.5825940370559692,
|
2030 |
+
"learning_rate": 4.231926105340768e-05,
|
2031 |
+
"loss": 1.6336,
|
2032 |
+
"step": 8959
|
2033 |
+
},
|
2034 |
+
{
|
2035 |
+
"epoch": 0.383131965309297,
|
2036 |
+
"grad_norm": 1.4825541973114014,
|
2037 |
+
"learning_rate": 4.225859883654776e-05,
|
2038 |
+
"loss": 1.6359,
|
2039 |
+
"step": 8990
|
2040 |
+
},
|
2041 |
+
{
|
2042 |
+
"epoch": 0.3844531100172601,
|
2043 |
+
"grad_norm": 1.4914085865020752,
|
2044 |
+
"learning_rate": 4.219774185874569e-05,
|
2045 |
+
"loss": 1.6623,
|
2046 |
+
"step": 9021
|
2047 |
+
},
|
2048 |
+
{
|
2049 |
+
"epoch": 0.3857742547252232,
|
2050 |
+
"grad_norm": 1.491519570350647,
|
2051 |
+
"learning_rate": 4.213669080676418e-05,
|
2052 |
+
"loss": 1.6543,
|
2053 |
+
"step": 9052
|
2054 |
+
},
|
2055 |
+
{
|
2056 |
+
"epoch": 0.3870953994331863,
|
2057 |
+
"grad_norm": 1.5370805263519287,
|
2058 |
+
"learning_rate": 4.2075446369556056e-05,
|
2059 |
+
"loss": 1.6325,
|
2060 |
+
"step": 9083
|
2061 |
+
},
|
2062 |
+
{
|
2063 |
+
"epoch": 0.3884165441411494,
|
2064 |
+
"grad_norm": 1.423508644104004,
|
2065 |
+
"learning_rate": 4.201400923825648e-05,
|
2066 |
+
"loss": 1.6547,
|
2067 |
+
"step": 9114
|
2068 |
+
},
|
2069 |
+
{
|
2070 |
+
"epoch": 0.3897376888491125,
|
2071 |
+
"grad_norm": 1.4396551847457886,
|
2072 |
+
"learning_rate": 4.195238010617511e-05,
|
2073 |
+
"loss": 1.6308,
|
2074 |
+
"step": 9145
|
2075 |
+
},
|
2076 |
+
{
|
2077 |
+
"epoch": 0.3910588335570756,
|
2078 |
+
"grad_norm": 1.466518521308899,
|
2079 |
+
"learning_rate": 4.1890559668788344e-05,
|
2080 |
+
"loss": 1.6321,
|
2081 |
+
"step": 9176
|
2082 |
+
},
|
2083 |
+
{
|
2084 |
+
"epoch": 0.3923799782650387,
|
2085 |
+
"grad_norm": 1.5302077531814575,
|
2086 |
+
"learning_rate": 4.1828548623731405e-05,
|
2087 |
+
"loss": 1.6455,
|
2088 |
+
"step": 9207
|
2089 |
+
},
|
2090 |
+
{
|
2091 |
+
"epoch": 0.39370112297300175,
|
2092 |
+
"grad_norm": 1.5934138298034668,
|
2093 |
+
"learning_rate": 4.1766347670790506e-05,
|
2094 |
+
"loss": 1.6526,
|
2095 |
+
"step": 9238
|
2096 |
+
},
|
2097 |
+
{
|
2098 |
+
"epoch": 0.3950222676809649,
|
2099 |
+
"grad_norm": 1.5880807638168335,
|
2100 |
+
"learning_rate": 4.170395751189495e-05,
|
2101 |
+
"loss": 1.6476,
|
2102 |
+
"step": 9269
|
2103 |
+
},
|
2104 |
+
{
|
2105 |
+
"epoch": 0.39634341238892795,
|
2106 |
+
"grad_norm": 1.4420969486236572,
|
2107 |
+
"learning_rate": 4.164137885110921e-05,
|
2108 |
+
"loss": 1.6265,
|
2109 |
+
"step": 9300
|
2110 |
+
},
|
2111 |
+
{
|
2112 |
+
"epoch": 0.397664557096891,
|
2113 |
+
"grad_norm": 1.489991307258606,
|
2114 |
+
"learning_rate": 4.157861239462495e-05,
|
2115 |
+
"loss": 1.647,
|
2116 |
+
"step": 9331
|
2117 |
+
},
|
2118 |
+
{
|
2119 |
+
"epoch": 0.39898570180485415,
|
2120 |
+
"grad_norm": 1.5055150985717773,
|
2121 |
+
"learning_rate": 4.1515658850753114e-05,
|
2122 |
+
"loss": 1.6323,
|
2123 |
+
"step": 9362
|
2124 |
+
},
|
2125 |
+
{
|
2126 |
+
"epoch": 0.4003068465128172,
|
2127 |
+
"grad_norm": 1.4316349029541016,
|
2128 |
+
"learning_rate": 4.145251892991588e-05,
|
2129 |
+
"loss": 1.6329,
|
2130 |
+
"step": 9393
|
2131 |
+
},
|
2132 |
+
{
|
2133 |
+
"epoch": 0.4016279912207803,
|
2134 |
+
"grad_norm": 1.4182207584381104,
|
2135 |
+
"learning_rate": 4.138919334463868e-05,
|
2136 |
+
"loss": 1.6479,
|
2137 |
+
"step": 9424
|
2138 |
+
},
|
2139 |
+
{
|
2140 |
+
"epoch": 0.40294913592874343,
|
2141 |
+
"grad_norm": 1.5128748416900635,
|
2142 |
+
"learning_rate": 4.1325682809542124e-05,
|
2143 |
+
"loss": 1.6419,
|
2144 |
+
"step": 9455
|
2145 |
+
},
|
2146 |
+
{
|
2147 |
+
"epoch": 0.4042702806367065,
|
2148 |
+
"grad_norm": 1.4093265533447266,
|
2149 |
+
"learning_rate": 4.126198804133398e-05,
|
2150 |
+
"loss": 1.6128,
|
2151 |
+
"step": 9486
|
2152 |
+
},
|
2153 |
+
{
|
2154 |
+
"epoch": 0.40559142534466963,
|
2155 |
+
"grad_norm": 1.4173692464828491,
|
2156 |
+
"learning_rate": 4.1198109758801055e-05,
|
2157 |
+
"loss": 1.6437,
|
2158 |
+
"step": 9517
|
2159 |
+
},
|
2160 |
+
{
|
2161 |
+
"epoch": 0.4069125700526327,
|
2162 |
+
"grad_norm": 1.6048704385757446,
|
2163 |
+
"learning_rate": 4.113404868280107e-05,
|
2164 |
+
"loss": 1.6203,
|
2165 |
+
"step": 9548
|
2166 |
+
},
|
2167 |
+
{
|
2168 |
+
"epoch": 0.4082337147605958,
|
2169 |
+
"grad_norm": 1.495764970779419,
|
2170 |
+
"learning_rate": 4.106980553625457e-05,
|
2171 |
+
"loss": 1.6294,
|
2172 |
+
"step": 9579
|
2173 |
+
},
|
2174 |
+
{
|
2175 |
+
"epoch": 0.4095548594685589,
|
2176 |
+
"grad_norm": 1.530218482017517,
|
2177 |
+
"learning_rate": 4.100538104413674e-05,
|
2178 |
+
"loss": 1.6377,
|
2179 |
+
"step": 9610
|
2180 |
+
},
|
2181 |
+
{
|
2182 |
+
"epoch": 0.410876004176522,
|
2183 |
+
"grad_norm": 1.5626767873764038,
|
2184 |
+
"learning_rate": 4.09407759334692e-05,
|
2185 |
+
"loss": 1.6293,
|
2186 |
+
"step": 9641
|
2187 |
+
},
|
2188 |
+
{
|
2189 |
+
"epoch": 0.41219714888448505,
|
2190 |
+
"grad_norm": 1.3259074687957764,
|
2191 |
+
"learning_rate": 4.087599093331186e-05,
|
2192 |
+
"loss": 1.6209,
|
2193 |
+
"step": 9672
|
2194 |
+
},
|
2195 |
+
{
|
2196 |
+
"epoch": 0.4135182935924482,
|
2197 |
+
"grad_norm": 1.4668447971343994,
|
2198 |
+
"learning_rate": 4.081102677475462e-05,
|
2199 |
+
"loss": 1.607,
|
2200 |
+
"step": 9703
|
2201 |
+
},
|
2202 |
+
{
|
2203 |
+
"epoch": 0.41483943830041126,
|
2204 |
+
"grad_norm": 1.6264866590499878,
|
2205 |
+
"learning_rate": 4.0745884190909194e-05,
|
2206 |
+
"loss": 1.647,
|
2207 |
+
"step": 9734
|
2208 |
+
},
|
2209 |
+
{
|
2210 |
+
"epoch": 0.41616058300837433,
|
2211 |
+
"grad_norm": 1.4699751138687134,
|
2212 |
+
"learning_rate": 4.0680563916900796e-05,
|
2213 |
+
"loss": 1.6433,
|
2214 |
+
"step": 9765
|
2215 |
+
},
|
2216 |
+
{
|
2217 |
+
"epoch": 0.41748172771633746,
|
2218 |
+
"grad_norm": 1.5570849180221558,
|
2219 |
+
"learning_rate": 4.0615066689859815e-05,
|
2220 |
+
"loss": 1.6278,
|
2221 |
+
"step": 9796
|
2222 |
+
},
|
2223 |
+
{
|
2224 |
+
"epoch": 0.41880287242430053,
|
2225 |
+
"grad_norm": 1.5093053579330444,
|
2226 |
+
"learning_rate": 4.0549393248913584e-05,
|
2227 |
+
"loss": 1.625,
|
2228 |
+
"step": 9827
|
2229 |
+
},
|
2230 |
+
{
|
2231 |
+
"epoch": 0.4201240171322636,
|
2232 |
+
"grad_norm": 1.4233616590499878,
|
2233 |
+
"learning_rate": 4.048354433517794e-05,
|
2234 |
+
"loss": 1.6254,
|
2235 |
+
"step": 9858
|
2236 |
+
},
|
2237 |
+
{
|
2238 |
+
"epoch": 0.42144516184022673,
|
2239 |
+
"grad_norm": 1.41616952419281,
|
2240 |
+
"learning_rate": 4.0417520691748916e-05,
|
2241 |
+
"loss": 1.6339,
|
2242 |
+
"step": 9889
|
2243 |
+
},
|
2244 |
+
{
|
2245 |
+
"epoch": 0.4227663065481898,
|
2246 |
+
"grad_norm": 1.5434125661849976,
|
2247 |
+
"learning_rate": 4.035132306369438e-05,
|
2248 |
+
"loss": 1.6379,
|
2249 |
+
"step": 9920
|
2250 |
+
},
|
2251 |
+
{
|
2252 |
+
"epoch": 0.42408745125615294,
|
2253 |
+
"grad_norm": 1.4518119096755981,
|
2254 |
+
"learning_rate": 4.028495219804555e-05,
|
2255 |
+
"loss": 1.6384,
|
2256 |
+
"step": 9951
|
2257 |
+
},
|
2258 |
+
{
|
2259 |
+
"epoch": 0.425408595964116,
|
2260 |
+
"grad_norm": 1.4989590644836426,
|
2261 |
+
"learning_rate": 4.021840884378864e-05,
|
2262 |
+
"loss": 1.615,
|
2263 |
+
"step": 9982
|
2264 |
+
},
|
2265 |
+
{
|
2266 |
+
"epoch": 0.4267297406720791,
|
2267 |
+
"grad_norm": 1.4292545318603516,
|
2268 |
+
"learning_rate": 4.015169375185633e-05,
|
2269 |
+
"loss": 1.6381,
|
2270 |
+
"step": 10013
|
2271 |
+
},
|
2272 |
+
{
|
2273 |
+
"epoch": 0.4280508853800422,
|
2274 |
+
"grad_norm": 1.4783132076263428,
|
2275 |
+
"learning_rate": 4.0084807675119396e-05,
|
2276 |
+
"loss": 1.634,
|
2277 |
+
"step": 10044
|
2278 |
+
},
|
2279 |
+
{
|
2280 |
+
"epoch": 0.4293720300880053,
|
2281 |
+
"grad_norm": 1.4413528442382812,
|
2282 |
+
"learning_rate": 4.0017751368378106e-05,
|
2283 |
+
"loss": 1.6356,
|
2284 |
+
"step": 10075
|
2285 |
+
},
|
2286 |
+
{
|
2287 |
+
"epoch": 0.43069317479596836,
|
2288 |
+
"grad_norm": 1.4603348970413208,
|
2289 |
+
"learning_rate": 3.995052558835377e-05,
|
2290 |
+
"loss": 1.6248,
|
2291 |
+
"step": 10106
|
2292 |
+
},
|
2293 |
+
{
|
2294 |
+
"epoch": 0.4320143195039315,
|
2295 |
+
"grad_norm": 1.5041816234588623,
|
2296 |
+
"learning_rate": 3.988313109368017e-05,
|
2297 |
+
"loss": 1.6352,
|
2298 |
+
"step": 10137
|
2299 |
+
},
|
2300 |
+
{
|
2301 |
+
"epoch": 0.43333546421189456,
|
2302 |
+
"grad_norm": 1.483124852180481,
|
2303 |
+
"learning_rate": 3.981556864489504e-05,
|
2304 |
+
"loss": 1.6129,
|
2305 |
+
"step": 10168
|
2306 |
+
},
|
2307 |
+
{
|
2308 |
+
"epoch": 0.43465660891985763,
|
2309 |
+
"grad_norm": 1.4493173360824585,
|
2310 |
+
"learning_rate": 3.974783900443142e-05,
|
2311 |
+
"loss": 1.624,
|
2312 |
+
"step": 10199
|
2313 |
+
},
|
2314 |
+
{
|
2315 |
+
"epoch": 0.43597775362782076,
|
2316 |
+
"grad_norm": 1.553686499595642,
|
2317 |
+
"learning_rate": 3.9679942936609095e-05,
|
2318 |
+
"loss": 1.6099,
|
2319 |
+
"step": 10230
|
2320 |
+
},
|
2321 |
+
{
|
2322 |
+
"epoch": 0.43729889833578384,
|
2323 |
+
"grad_norm": 1.4004040956497192,
|
2324 |
+
"learning_rate": 3.961188120762596e-05,
|
2325 |
+
"loss": 1.6152,
|
2326 |
+
"step": 10261
|
2327 |
+
},
|
2328 |
+
{
|
2329 |
+
"epoch": 0.4386200430437469,
|
2330 |
+
"grad_norm": 1.4119765758514404,
|
2331 |
+
"learning_rate": 3.954365458554938e-05,
|
2332 |
+
"loss": 1.6161,
|
2333 |
+
"step": 10292
|
2334 |
+
},
|
2335 |
+
{
|
2336 |
+
"epoch": 0.43994118775171004,
|
2337 |
+
"grad_norm": 1.4605529308319092,
|
2338 |
+
"learning_rate": 3.947526384030751e-05,
|
2339 |
+
"loss": 1.6234,
|
2340 |
+
"step": 10323
|
2341 |
+
},
|
2342 |
+
{
|
2343 |
+
"epoch": 0.4412623324596731,
|
2344 |
+
"grad_norm": 1.5051487684249878,
|
2345 |
+
"learning_rate": 3.9406709743680624e-05,
|
2346 |
+
"loss": 1.6126,
|
2347 |
+
"step": 10354
|
2348 |
+
},
|
2349 |
+
{
|
2350 |
+
"epoch": 0.44258347716763624,
|
2351 |
+
"grad_norm": 1.431213617324829,
|
2352 |
+
"learning_rate": 3.9337993069292366e-05,
|
2353 |
+
"loss": 1.6304,
|
2354 |
+
"step": 10385
|
2355 |
+
},
|
2356 |
+
{
|
2357 |
+
"epoch": 0.4439046218755993,
|
2358 |
+
"grad_norm": 1.3373912572860718,
|
2359 |
+
"learning_rate": 3.926911459260109e-05,
|
2360 |
+
"loss": 1.6243,
|
2361 |
+
"step": 10416
|
2362 |
+
},
|
2363 |
+
{
|
2364 |
+
"epoch": 0.4452257665835624,
|
2365 |
+
"grad_norm": 1.4510406255722046,
|
2366 |
+
"learning_rate": 3.920007509089102e-05,
|
2367 |
+
"loss": 1.6163,
|
2368 |
+
"step": 10447
|
2369 |
+
},
|
2370 |
+
{
|
2371 |
+
"epoch": 0.4465469112915255,
|
2372 |
+
"grad_norm": 1.465527057647705,
|
2373 |
+
"learning_rate": 3.913087534326357e-05,
|
2374 |
+
"loss": 1.6092,
|
2375 |
+
"step": 10478
|
2376 |
+
},
|
2377 |
+
{
|
2378 |
+
"epoch": 0.4478680559994886,
|
2379 |
+
"grad_norm": 1.4679442644119263,
|
2380 |
+
"learning_rate": 3.9061516130628475e-05,
|
2381 |
+
"loss": 1.617,
|
2382 |
+
"step": 10509
|
2383 |
+
},
|
2384 |
+
{
|
2385 |
+
"epoch": 0.44918920070745166,
|
2386 |
+
"grad_norm": 1.5881776809692383,
|
2387 |
+
"learning_rate": 3.8991998235695025e-05,
|
2388 |
+
"loss": 1.615,
|
2389 |
+
"step": 10540
|
2390 |
+
},
|
2391 |
+
{
|
2392 |
+
"epoch": 0.4505103454154148,
|
2393 |
+
"grad_norm": 1.4944725036621094,
|
2394 |
+
"learning_rate": 3.8922322442963224e-05,
|
2395 |
+
"loss": 1.6299,
|
2396 |
+
"step": 10571
|
2397 |
+
},
|
2398 |
+
{
|
2399 |
+
"epoch": 0.45183149012337787,
|
2400 |
+
"grad_norm": 1.499192714691162,
|
2401 |
+
"learning_rate": 3.885248953871491e-05,
|
2402 |
+
"loss": 1.6173,
|
2403 |
+
"step": 10602
|
2404 |
+
},
|
2405 |
+
{
|
2406 |
+
"epoch": 0.45315263483134094,
|
2407 |
+
"grad_norm": 1.409706473350525,
|
2408 |
+
"learning_rate": 3.8782500311004915e-05,
|
2409 |
+
"loss": 1.6083,
|
2410 |
+
"step": 10633
|
2411 |
+
},
|
2412 |
+
{
|
2413 |
+
"epoch": 0.45447377953930407,
|
2414 |
+
"grad_norm": 1.3845860958099365,
|
2415 |
+
"learning_rate": 3.871235554965218e-05,
|
2416 |
+
"loss": 1.6104,
|
2417 |
+
"step": 10664
|
2418 |
+
},
|
2419 |
+
{
|
2420 |
+
"epoch": 0.45579492424726714,
|
2421 |
+
"grad_norm": 1.4976452589035034,
|
2422 |
+
"learning_rate": 3.864205604623078e-05,
|
2423 |
+
"loss": 1.6123,
|
2424 |
+
"step": 10695
|
2425 |
+
},
|
2426 |
+
{
|
2427 |
+
"epoch": 0.4571160689552302,
|
2428 |
+
"grad_norm": 1.496371865272522,
|
2429 |
+
"learning_rate": 3.857160259406107e-05,
|
2430 |
+
"loss": 1.594,
|
2431 |
+
"step": 10726
|
2432 |
+
},
|
2433 |
+
{
|
2434 |
+
"epoch": 0.45843721366319334,
|
2435 |
+
"grad_norm": 1.364917516708374,
|
2436 |
+
"learning_rate": 3.8500995988200674e-05,
|
2437 |
+
"loss": 1.602,
|
2438 |
+
"step": 10757
|
2439 |
+
},
|
2440 |
+
{
|
2441 |
+
"epoch": 0.4597583583711564,
|
2442 |
+
"grad_norm": 1.461065411567688,
|
2443 |
+
"learning_rate": 3.843023702543556e-05,
|
2444 |
+
"loss": 1.5936,
|
2445 |
+
"step": 10788
|
2446 |
+
},
|
2447 |
+
{
|
2448 |
+
"epoch": 0.46107950307911955,
|
2449 |
+
"grad_norm": 1.422227382659912,
|
2450 |
+
"learning_rate": 3.8359326504270984e-05,
|
2451 |
+
"loss": 1.6275,
|
2452 |
+
"step": 10819
|
2453 |
+
},
|
2454 |
+
{
|
2455 |
+
"epoch": 0.4624006477870826,
|
2456 |
+
"grad_norm": 1.3532990217208862,
|
2457 |
+
"learning_rate": 3.828826522492255e-05,
|
2458 |
+
"loss": 1.5982,
|
2459 |
+
"step": 10850
|
2460 |
+
},
|
2461 |
+
{
|
2462 |
+
"epoch": 0.4637217924950457,
|
2463 |
+
"grad_norm": 1.6219929456710815,
|
2464 |
+
"learning_rate": 3.821705398930713e-05,
|
2465 |
+
"loss": 1.6225,
|
2466 |
+
"step": 10881
|
2467 |
+
},
|
2468 |
+
{
|
2469 |
+
"epoch": 0.4650429372030088,
|
2470 |
+
"grad_norm": 1.4138596057891846,
|
2471 |
+
"learning_rate": 3.814569360103385e-05,
|
2472 |
+
"loss": 1.6216,
|
2473 |
+
"step": 10912
|
2474 |
+
},
|
2475 |
+
{
|
2476 |
+
"epoch": 0.4663640819109719,
|
2477 |
+
"grad_norm": 1.492357611656189,
|
2478 |
+
"learning_rate": 3.807418486539499e-05,
|
2479 |
+
"loss": 1.6049,
|
2480 |
+
"step": 10943
|
2481 |
+
},
|
2482 |
+
{
|
2483 |
+
"epoch": 0.46768522661893497,
|
2484 |
+
"grad_norm": 1.4756381511688232,
|
2485 |
+
"learning_rate": 3.80025285893569e-05,
|
2486 |
+
"loss": 1.6077,
|
2487 |
+
"step": 10974
|
2488 |
+
},
|
2489 |
+
{
|
2490 |
+
"epoch": 0.4690063713268981,
|
2491 |
+
"grad_norm": 1.4480361938476562,
|
2492 |
+
"learning_rate": 3.793072558155093e-05,
|
2493 |
+
"loss": 1.6131,
|
2494 |
+
"step": 11005
|
2495 |
+
},
|
2496 |
+
{
|
2497 |
+
"epoch": 0.47032751603486117,
|
2498 |
+
"grad_norm": 1.5386732816696167,
|
2499 |
+
"learning_rate": 3.785877665226426e-05,
|
2500 |
+
"loss": 1.6124,
|
2501 |
+
"step": 11036
|
2502 |
+
},
|
2503 |
+
{
|
2504 |
+
"epoch": 0.47164866074282424,
|
2505 |
+
"grad_norm": 1.4616602659225464,
|
2506 |
+
"learning_rate": 3.778668261343079e-05,
|
2507 |
+
"loss": 1.6177,
|
2508 |
+
"step": 11067
|
2509 |
+
},
|
2510 |
+
{
|
2511 |
+
"epoch": 0.4729698054507874,
|
2512 |
+
"grad_norm": 1.4740066528320312,
|
2513 |
+
"learning_rate": 3.771444427862192e-05,
|
2514 |
+
"loss": 1.6194,
|
2515 |
+
"step": 11098
|
2516 |
+
},
|
2517 |
+
{
|
2518 |
+
"epoch": 0.47429095015875045,
|
2519 |
+
"grad_norm": 1.3635661602020264,
|
2520 |
+
"learning_rate": 3.7642062463037465e-05,
|
2521 |
+
"loss": 1.6085,
|
2522 |
+
"step": 11129
|
2523 |
+
},
|
2524 |
+
{
|
2525 |
+
"epoch": 0.4756120948667135,
|
2526 |
+
"grad_norm": 1.4568270444869995,
|
2527 |
+
"learning_rate": 3.7569537983496373e-05,
|
2528 |
+
"loss": 1.6171,
|
2529 |
+
"step": 11160
|
2530 |
+
},
|
2531 |
+
{
|
2532 |
+
"epoch": 0.47693323957467665,
|
2533 |
+
"grad_norm": 1.4151735305786133,
|
2534 |
+
"learning_rate": 3.749687165842753e-05,
|
2535 |
+
"loss": 1.6176,
|
2536 |
+
"step": 11191
|
2537 |
+
},
|
2538 |
+
{
|
2539 |
+
"epoch": 0.4782543842826397,
|
2540 |
+
"grad_norm": 1.3976393938064575,
|
2541 |
+
"learning_rate": 3.7424064307860536e-05,
|
2542 |
+
"loss": 1.6326,
|
2543 |
+
"step": 11222
|
2544 |
+
},
|
2545 |
+
{
|
2546 |
+
"epoch": 0.47957552899060285,
|
2547 |
+
"grad_norm": 1.4214377403259277,
|
2548 |
+
"learning_rate": 3.735111675341645e-05,
|
2549 |
+
"loss": 1.6353,
|
2550 |
+
"step": 11253
|
2551 |
+
},
|
2552 |
+
{
|
2553 |
+
"epoch": 0.4808966736985659,
|
2554 |
+
"grad_norm": 1.453192949295044,
|
2555 |
+
"learning_rate": 3.7278029818298524e-05,
|
2556 |
+
"loss": 1.6225,
|
2557 |
+
"step": 11284
|
2558 |
+
},
|
2559 |
+
{
|
2560 |
+
"epoch": 0.482217818406529,
|
2561 |
+
"grad_norm": 1.3557348251342773,
|
2562 |
+
"learning_rate": 3.720480432728287e-05,
|
2563 |
+
"loss": 1.6195,
|
2564 |
+
"step": 11315
|
2565 |
+
},
|
2566 |
+
{
|
2567 |
+
"epoch": 0.4835389631144921,
|
2568 |
+
"grad_norm": 1.411064863204956,
|
2569 |
+
"learning_rate": 3.71314411067092e-05,
|
2570 |
+
"loss": 1.6026,
|
2571 |
+
"step": 11346
|
2572 |
+
},
|
2573 |
+
{
|
2574 |
+
"epoch": 0.4848601078224552,
|
2575 |
+
"grad_norm": 1.4603424072265625,
|
2576 |
+
"learning_rate": 3.70579409844715e-05,
|
2577 |
+
"loss": 1.6133,
|
2578 |
+
"step": 11377
|
2579 |
+
},
|
2580 |
+
{
|
2581 |
+
"epoch": 0.4861812525304183,
|
2582 |
+
"grad_norm": 1.484947681427002,
|
2583 |
+
"learning_rate": 3.698430479000865e-05,
|
2584 |
+
"loss": 1.5991,
|
2585 |
+
"step": 11408
|
2586 |
+
},
|
2587 |
+
{
|
2588 |
+
"epoch": 0.4875023972383814,
|
2589 |
+
"grad_norm": 1.4569475650787354,
|
2590 |
+
"learning_rate": 3.691053335429509e-05,
|
2591 |
+
"loss": 1.6016,
|
2592 |
+
"step": 11439
|
2593 |
+
},
|
2594 |
+
{
|
2595 |
+
"epoch": 0.4888235419463445,
|
2596 |
+
"grad_norm": 1.3495190143585205,
|
2597 |
+
"learning_rate": 3.683662750983147e-05,
|
2598 |
+
"loss": 1.6119,
|
2599 |
+
"step": 11470
|
2600 |
+
},
|
2601 |
+
{
|
2602 |
+
"epoch": 0.49014468665430755,
|
2603 |
+
"grad_norm": 1.481056809425354,
|
2604 |
+
"learning_rate": 3.676258809063518e-05,
|
2605 |
+
"loss": 1.5983,
|
2606 |
+
"step": 11501
|
2607 |
+
},
|
2608 |
+
{
|
2609 |
+
"epoch": 0.4914658313622707,
|
2610 |
+
"grad_norm": 1.4746501445770264,
|
2611 |
+
"learning_rate": 3.6688415932231004e-05,
|
2612 |
+
"loss": 1.624,
|
2613 |
+
"step": 11532
|
2614 |
+
},
|
2615 |
+
{
|
2616 |
+
"epoch": 0.49278697607023375,
|
2617 |
+
"grad_norm": 1.340066909790039,
|
2618 |
+
"learning_rate": 3.661411187164166e-05,
|
2619 |
+
"loss": 1.5697,
|
2620 |
+
"step": 11563
|
2621 |
+
},
|
2622 |
+
{
|
2623 |
+
"epoch": 0.4941081207781968,
|
2624 |
+
"grad_norm": 1.3957117795944214,
|
2625 |
+
"learning_rate": 3.65396767473784e-05,
|
2626 |
+
"loss": 1.608,
|
2627 |
+
"step": 11594
|
2628 |
+
},
|
2629 |
+
{
|
2630 |
+
"epoch": 0.49542926548615995,
|
2631 |
+
"grad_norm": 1.448289155960083,
|
2632 |
+
"learning_rate": 3.6465111399431465e-05,
|
2633 |
+
"loss": 1.6024,
|
2634 |
+
"step": 11625
|
2635 |
+
},
|
2636 |
+
{
|
2637 |
+
"epoch": 0.496750410194123,
|
2638 |
+
"grad_norm": 1.3630342483520508,
|
2639 |
+
"learning_rate": 3.6390416669260674e-05,
|
2640 |
+
"loss": 1.5887,
|
2641 |
+
"step": 11656
|
2642 |
+
},
|
2643 |
+
{
|
2644 |
+
"epoch": 0.49807155490208616,
|
2645 |
+
"grad_norm": 1.4242172241210938,
|
2646 |
+
"learning_rate": 3.63155933997859e-05,
|
2647 |
+
"loss": 1.5989,
|
2648 |
+
"step": 11687
|
2649 |
+
},
|
2650 |
+
{
|
2651 |
+
"epoch": 0.49939269961004923,
|
2652 |
+
"grad_norm": 1.4106690883636475,
|
2653 |
+
"learning_rate": 3.624064243537758e-05,
|
2654 |
+
"loss": 1.6133,
|
2655 |
+
"step": 11718
|
2656 |
+
},
|
2657 |
+
{
|
2658 |
+
"epoch": 0.5007138443180124,
|
2659 |
+
"grad_norm": 1.3867900371551514,
|
2660 |
+
"learning_rate": 3.616556462184716e-05,
|
2661 |
+
"loss": 1.5766,
|
2662 |
+
"step": 11749
|
2663 |
+
},
|
2664 |
+
{
|
2665 |
+
"epoch": 0.5020349890259754,
|
2666 |
+
"grad_norm": 1.4181773662567139,
|
2667 |
+
"learning_rate": 3.609036080643755e-05,
|
2668 |
+
"loss": 1.6259,
|
2669 |
+
"step": 11780
|
2670 |
+
},
|
2671 |
+
{
|
2672 |
+
"epoch": 0.5033561337339385,
|
2673 |
+
"grad_norm": 1.434336543083191,
|
2674 |
+
"learning_rate": 3.60150318378136e-05,
|
2675 |
+
"loss": 1.6021,
|
2676 |
+
"step": 11811
|
2677 |
+
},
|
2678 |
+
{
|
2679 |
+
"epoch": 0.5046772784419016,
|
2680 |
+
"grad_norm": 1.370049238204956,
|
2681 |
+
"learning_rate": 3.5939578566052465e-05,
|
2682 |
+
"loss": 1.5802,
|
2683 |
+
"step": 11842
|
2684 |
+
},
|
2685 |
+
{
|
2686 |
+
"epoch": 0.5059984231498647,
|
2687 |
+
"grad_norm": 1.3584986925125122,
|
2688 |
+
"learning_rate": 3.586400184263408e-05,
|
2689 |
+
"loss": 1.5964,
|
2690 |
+
"step": 11873
|
2691 |
+
},
|
2692 |
+
{
|
2693 |
+
"epoch": 0.5073195678578278,
|
2694 |
+
"grad_norm": 1.458137035369873,
|
2695 |
+
"learning_rate": 3.578830252043148e-05,
|
2696 |
+
"loss": 1.5962,
|
2697 |
+
"step": 11904
|
2698 |
+
},
|
2699 |
+
{
|
2700 |
+
"epoch": 0.5086407125657909,
|
2701 |
+
"grad_norm": 1.4329200983047485,
|
2702 |
+
"learning_rate": 3.571248145370125e-05,
|
2703 |
+
"loss": 1.6046,
|
2704 |
+
"step": 11935
|
2705 |
+
},
|
2706 |
+
{
|
2707 |
+
"epoch": 0.509961857273754,
|
2708 |
+
"grad_norm": 1.3814787864685059,
|
2709 |
+
"learning_rate": 3.5636539498073794e-05,
|
2710 |
+
"loss": 1.5901,
|
2711 |
+
"step": 11966
|
2712 |
+
},
|
2713 |
+
{
|
2714 |
+
"epoch": 0.5112830019817171,
|
2715 |
+
"grad_norm": 1.3795075416564941,
|
2716 |
+
"learning_rate": 3.556047751054378e-05,
|
2717 |
+
"loss": 1.621,
|
2718 |
+
"step": 11997
|
2719 |
+
},
|
2720 |
+
{
|
2721 |
+
"epoch": 0.5126041466896801,
|
2722 |
+
"grad_norm": 1.4559143781661987,
|
2723 |
+
"learning_rate": 3.548429634946039e-05,
|
2724 |
+
"loss": 1.5845,
|
2725 |
+
"step": 12028
|
2726 |
+
},
|
2727 |
+
{
|
2728 |
+
"epoch": 0.5139252913976432,
|
2729 |
+
"grad_norm": 1.468773365020752,
|
2730 |
+
"learning_rate": 3.540799687451768e-05,
|
2731 |
+
"loss": 1.5956,
|
2732 |
+
"step": 12059
|
2733 |
+
},
|
2734 |
+
{
|
2735 |
+
"epoch": 0.5152464361056064,
|
2736 |
+
"grad_norm": 1.5287885665893555,
|
2737 |
+
"learning_rate": 3.533157994674485e-05,
|
2738 |
+
"loss": 1.5801,
|
2739 |
+
"step": 12090
|
2740 |
+
},
|
2741 |
+
{
|
2742 |
+
"epoch": 0.5165675808135695,
|
2743 |
+
"grad_norm": 1.4891117811203003,
|
2744 |
+
"learning_rate": 3.5255046428496546e-05,
|
2745 |
+
"loss": 1.6034,
|
2746 |
+
"step": 12121
|
2747 |
+
},
|
2748 |
+
{
|
2749 |
+
"epoch": 0.5178887255215325,
|
2750 |
+
"grad_norm": 1.541502594947815,
|
2751 |
+
"learning_rate": 3.517839718344311e-05,
|
2752 |
+
"loss": 1.6076,
|
2753 |
+
"step": 12152
|
2754 |
+
},
|
2755 |
+
{
|
2756 |
+
"epoch": 0.5192098702294956,
|
2757 |
+
"grad_norm": 1.3209787607192993,
|
2758 |
+
"learning_rate": 3.510163307656086e-05,
|
2759 |
+
"loss": 1.5967,
|
2760 |
+
"step": 12183
|
2761 |
+
}
|
2762 |
+
],
|
2763 |
+
"logging_steps": 31,
|
2764 |
+
"max_steps": 30517,
|
2765 |
+
"num_input_tokens_seen": 0,
|
2766 |
+
"num_train_epochs": 2,
|
2767 |
+
"save_steps": 3052,
|
2768 |
+
"stateful_callbacks": {
|
2769 |
+
"TrainerControl": {
|
2770 |
+
"args": {
|
2771 |
+
"should_epoch_stop": false,
|
2772 |
+
"should_evaluate": false,
|
2773 |
+
"should_log": false,
|
2774 |
+
"should_save": true,
|
2775 |
+
"should_training_stop": false
|
2776 |
+
},
|
2777 |
+
"attributes": {}
|
2778 |
+
}
|
2779 |
+
},
|
2780 |
+
"total_flos": 9.055780216089084e+18,
|
2781 |
+
"train_batch_size": 8,
|
2782 |
+
"trial_name": null,
|
2783 |
+
"trial_params": null
|
2784 |
+
}
|
checkpoint-12208/training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:302cac6bc00d87f6c817113f3074af210729435b710bdeed411138aae3385920
|
3 |
+
size 5304
|
checkpoint-15260/config.json
ADDED
@@ -0,0 +1,39 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"_name_or_path": "/mnt/parscratch/users/acp23ay/private/models/Llama-3.1-8B-Instruct-gu-madlad-mean/",
|
3 |
+
"architectures": [
|
4 |
+
"LlamaForCausalLM"
|
5 |
+
],
|
6 |
+
"attention_bias": false,
|
7 |
+
"attention_dropout": 0.0,
|
8 |
+
"bos_token_id": 128000,
|
9 |
+
"eos_token_id": [
|
10 |
+
128001,
|
11 |
+
128008,
|
12 |
+
128009
|
13 |
+
],
|
14 |
+
"hidden_act": "silu",
|
15 |
+
"hidden_size": 4096,
|
16 |
+
"initializer_range": 0.02,
|
17 |
+
"intermediate_size": 14336,
|
18 |
+
"max_position_embeddings": 131072,
|
19 |
+
"mlp_bias": false,
|
20 |
+
"model_type": "llama",
|
21 |
+
"num_attention_heads": 32,
|
22 |
+
"num_hidden_layers": 32,
|
23 |
+
"num_key_value_heads": 8,
|
24 |
+
"pretraining_tp": 1,
|
25 |
+
"rms_norm_eps": 1e-05,
|
26 |
+
"rope_scaling": {
|
27 |
+
"factor": 8.0,
|
28 |
+
"high_freq_factor": 4.0,
|
29 |
+
"low_freq_factor": 1.0,
|
30 |
+
"original_max_position_embeddings": 8192,
|
31 |
+
"rope_type": "llama3"
|
32 |
+
},
|
33 |
+
"rope_theta": 500000.0,
|
34 |
+
"tie_word_embeddings": false,
|
35 |
+
"torch_dtype": "float32",
|
36 |
+
"transformers_version": "4.44.0.dev0",
|
37 |
+
"use_cache": true,
|
38 |
+
"vocab_size": 138256
|
39 |
+
}
|
checkpoint-15260/generation_config.json
ADDED
@@ -0,0 +1,12 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"bos_token_id": 128000,
|
3 |
+
"do_sample": true,
|
4 |
+
"eos_token_id": [
|
5 |
+
128001,
|
6 |
+
128008,
|
7 |
+
128009
|
8 |
+
],
|
9 |
+
"temperature": 0.6,
|
10 |
+
"top_p": 0.9,
|
11 |
+
"transformers_version": "4.44.0.dev0"
|
12 |
+
}
|
checkpoint-15260/model-00001-of-00007.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:3d7a2c17c2a4ad937e36df2c523fa0a84d6f5d0c768be98a61c3cfd14dc4e110
|
3 |
+
size 4983197184
|
checkpoint-15260/model-00002-of-00007.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:168629c67732309d49f60a5ec48a6d160212bc987365e82e183dfbf74ba0c1f3
|
3 |
+
size 4899116432
|
checkpoint-15260/model-00003-of-00007.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:1a223e87240e50dfb05634ea909cf1ec715d37a12b681b14a3a6e97f28688f2b
|
3 |
+
size 4999813112
|
checkpoint-15260/model-00004-of-00007.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:3047d199c611c6d12b1cca780f033ad89df9c076f742674f7ac4a892ca9573b3
|
3 |
+
size 4999813128
|
checkpoint-15260/model-00005-of-00007.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:0a2f91d749d664ecd22c71f3d54488966fc6899a03924b8fea3613c8f83398a8
|
3 |
+
size 4832007496
|
checkpoint-15260/model-00006-of-00007.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:6c10f85e5ba648187f4442f89b72f1cd21f148521978f49b0f0210c05d15eb77
|
3 |
+
size 4999813120
|
checkpoint-15260/model-00007-of-00007.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:16253ab34e94a3612effa3b8b8fd2246aead2b043b4c5d3d4189ef3e28f354ef
|
3 |
+
size 2734998184
|
checkpoint-15260/model.safetensors.index.json
ADDED
@@ -0,0 +1,298 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"metadata": {
|
3 |
+
"total_size": 32448724992
|
4 |
+
},
|
5 |
+
"weight_map": {
|
6 |
+
"lm_head.weight": "model-00007-of-00007.safetensors",
|
7 |
+
"model.embed_tokens.weight": "model-00001-of-00007.safetensors",
|
8 |
+
"model.layers.0.input_layernorm.weight": "model-00001-of-00007.safetensors",
|
9 |
+
"model.layers.0.mlp.down_proj.weight": "model-00001-of-00007.safetensors",
|
10 |
+
"model.layers.0.mlp.gate_proj.weight": "model-00001-of-00007.safetensors",
|
11 |
+
"model.layers.0.mlp.up_proj.weight": "model-00001-of-00007.safetensors",
|
12 |
+
"model.layers.0.post_attention_layernorm.weight": "model-00001-of-00007.safetensors",
|
13 |
+
"model.layers.0.self_attn.k_proj.weight": "model-00001-of-00007.safetensors",
|
14 |
+
"model.layers.0.self_attn.o_proj.weight": "model-00001-of-00007.safetensors",
|
15 |
+
"model.layers.0.self_attn.q_proj.weight": "model-00001-of-00007.safetensors",
|
16 |
+
"model.layers.0.self_attn.v_proj.weight": "model-00001-of-00007.safetensors",
|
17 |
+
"model.layers.1.input_layernorm.weight": "model-00001-of-00007.safetensors",
|
18 |
+
"model.layers.1.mlp.down_proj.weight": "model-00001-of-00007.safetensors",
|
19 |
+
"model.layers.1.mlp.gate_proj.weight": "model-00001-of-00007.safetensors",
|
20 |
+
"model.layers.1.mlp.up_proj.weight": "model-00001-of-00007.safetensors",
|
21 |
+
"model.layers.1.post_attention_layernorm.weight": "model-00001-of-00007.safetensors",
|
22 |
+
"model.layers.1.self_attn.k_proj.weight": "model-00001-of-00007.safetensors",
|
23 |
+
"model.layers.1.self_attn.o_proj.weight": "model-00001-of-00007.safetensors",
|
24 |
+
"model.layers.1.self_attn.q_proj.weight": "model-00001-of-00007.safetensors",
|
25 |
+
"model.layers.1.self_attn.v_proj.weight": "model-00001-of-00007.safetensors",
|
26 |
+
"model.layers.10.input_layernorm.weight": "model-00003-of-00007.safetensors",
|
27 |
+
"model.layers.10.mlp.down_proj.weight": "model-00003-of-00007.safetensors",
|
28 |
+
"model.layers.10.mlp.gate_proj.weight": "model-00003-of-00007.safetensors",
|
29 |
+
"model.layers.10.mlp.up_proj.weight": "model-00003-of-00007.safetensors",
|
30 |
+
"model.layers.10.post_attention_layernorm.weight": "model-00003-of-00007.safetensors",
|
31 |
+
"model.layers.10.self_attn.k_proj.weight": "model-00003-of-00007.safetensors",
|
32 |
+
"model.layers.10.self_attn.o_proj.weight": "model-00003-of-00007.safetensors",
|
33 |
+
"model.layers.10.self_attn.q_proj.weight": "model-00003-of-00007.safetensors",
|
34 |
+
"model.layers.10.self_attn.v_proj.weight": "model-00003-of-00007.safetensors",
|
35 |
+
"model.layers.11.input_layernorm.weight": "model-00003-of-00007.safetensors",
|
36 |
+
"model.layers.11.mlp.down_proj.weight": "model-00003-of-00007.safetensors",
|
37 |
+
"model.layers.11.mlp.gate_proj.weight": "model-00003-of-00007.safetensors",
|
38 |
+
"model.layers.11.mlp.up_proj.weight": "model-00003-of-00007.safetensors",
|
39 |
+
"model.layers.11.post_attention_layernorm.weight": "model-00003-of-00007.safetensors",
|
40 |
+
"model.layers.11.self_attn.k_proj.weight": "model-00003-of-00007.safetensors",
|
41 |
+
"model.layers.11.self_attn.o_proj.weight": "model-00003-of-00007.safetensors",
|
42 |
+
"model.layers.11.self_attn.q_proj.weight": "model-00003-of-00007.safetensors",
|
43 |
+
"model.layers.11.self_attn.v_proj.weight": "model-00003-of-00007.safetensors",
|
44 |
+
"model.layers.12.input_layernorm.weight": "model-00003-of-00007.safetensors",
|
45 |
+
"model.layers.12.mlp.down_proj.weight": "model-00003-of-00007.safetensors",
|
46 |
+
"model.layers.12.mlp.gate_proj.weight": "model-00003-of-00007.safetensors",
|
47 |
+
"model.layers.12.mlp.up_proj.weight": "model-00003-of-00007.safetensors",
|
48 |
+
"model.layers.12.post_attention_layernorm.weight": "model-00003-of-00007.safetensors",
|
49 |
+
"model.layers.12.self_attn.k_proj.weight": "model-00003-of-00007.safetensors",
|
50 |
+
"model.layers.12.self_attn.o_proj.weight": "model-00003-of-00007.safetensors",
|
51 |
+
"model.layers.12.self_attn.q_proj.weight": "model-00003-of-00007.safetensors",
|
52 |
+
"model.layers.12.self_attn.v_proj.weight": "model-00003-of-00007.safetensors",
|
53 |
+
"model.layers.13.input_layernorm.weight": "model-00003-of-00007.safetensors",
|
54 |
+
"model.layers.13.mlp.down_proj.weight": "model-00003-of-00007.safetensors",
|
55 |
+
"model.layers.13.mlp.gate_proj.weight": "model-00003-of-00007.safetensors",
|
56 |
+
"model.layers.13.mlp.up_proj.weight": "model-00003-of-00007.safetensors",
|
57 |
+
"model.layers.13.post_attention_layernorm.weight": "model-00003-of-00007.safetensors",
|
58 |
+
"model.layers.13.self_attn.k_proj.weight": "model-00003-of-00007.safetensors",
|
59 |
+
"model.layers.13.self_attn.o_proj.weight": "model-00003-of-00007.safetensors",
|
60 |
+
"model.layers.13.self_attn.q_proj.weight": "model-00003-of-00007.safetensors",
|
61 |
+
"model.layers.13.self_attn.v_proj.weight": "model-00003-of-00007.safetensors",
|
62 |
+
"model.layers.14.input_layernorm.weight": "model-00004-of-00007.safetensors",
|
63 |
+
"model.layers.14.mlp.down_proj.weight": "model-00004-of-00007.safetensors",
|
64 |
+
"model.layers.14.mlp.gate_proj.weight": "model-00003-of-00007.safetensors",
|
65 |
+
"model.layers.14.mlp.up_proj.weight": "model-00004-of-00007.safetensors",
|
66 |
+
"model.layers.14.post_attention_layernorm.weight": "model-00004-of-00007.safetensors",
|
67 |
+
"model.layers.14.self_attn.k_proj.weight": "model-00003-of-00007.safetensors",
|
68 |
+
"model.layers.14.self_attn.o_proj.weight": "model-00003-of-00007.safetensors",
|
69 |
+
"model.layers.14.self_attn.q_proj.weight": "model-00003-of-00007.safetensors",
|
70 |
+
"model.layers.14.self_attn.v_proj.weight": "model-00003-of-00007.safetensors",
|
71 |
+
"model.layers.15.input_layernorm.weight": "model-00004-of-00007.safetensors",
|
72 |
+
"model.layers.15.mlp.down_proj.weight": "model-00004-of-00007.safetensors",
|
73 |
+
"model.layers.15.mlp.gate_proj.weight": "model-00004-of-00007.safetensors",
|
74 |
+
"model.layers.15.mlp.up_proj.weight": "model-00004-of-00007.safetensors",
|
75 |
+
"model.layers.15.post_attention_layernorm.weight": "model-00004-of-00007.safetensors",
|
76 |
+
"model.layers.15.self_attn.k_proj.weight": "model-00004-of-00007.safetensors",
|
77 |
+
"model.layers.15.self_attn.o_proj.weight": "model-00004-of-00007.safetensors",
|
78 |
+
"model.layers.15.self_attn.q_proj.weight": "model-00004-of-00007.safetensors",
|
79 |
+
"model.layers.15.self_attn.v_proj.weight": "model-00004-of-00007.safetensors",
|
80 |
+
"model.layers.16.input_layernorm.weight": "model-00004-of-00007.safetensors",
|
81 |
+
"model.layers.16.mlp.down_proj.weight": "model-00004-of-00007.safetensors",
|
82 |
+
"model.layers.16.mlp.gate_proj.weight": "model-00004-of-00007.safetensors",
|
83 |
+
"model.layers.16.mlp.up_proj.weight": "model-00004-of-00007.safetensors",
|
84 |
+
"model.layers.16.post_attention_layernorm.weight": "model-00004-of-00007.safetensors",
|
85 |
+
"model.layers.16.self_attn.k_proj.weight": "model-00004-of-00007.safetensors",
|
86 |
+
"model.layers.16.self_attn.o_proj.weight": "model-00004-of-00007.safetensors",
|
87 |
+
"model.layers.16.self_attn.q_proj.weight": "model-00004-of-00007.safetensors",
|
88 |
+
"model.layers.16.self_attn.v_proj.weight": "model-00004-of-00007.safetensors",
|
89 |
+
"model.layers.17.input_layernorm.weight": "model-00004-of-00007.safetensors",
|
90 |
+
"model.layers.17.mlp.down_proj.weight": "model-00004-of-00007.safetensors",
|
91 |
+
"model.layers.17.mlp.gate_proj.weight": "model-00004-of-00007.safetensors",
|
92 |
+
"model.layers.17.mlp.up_proj.weight": "model-00004-of-00007.safetensors",
|
93 |
+
"model.layers.17.post_attention_layernorm.weight": "model-00004-of-00007.safetensors",
|
94 |
+
"model.layers.17.self_attn.k_proj.weight": "model-00004-of-00007.safetensors",
|
95 |
+
"model.layers.17.self_attn.o_proj.weight": "model-00004-of-00007.safetensors",
|
96 |
+
"model.layers.17.self_attn.q_proj.weight": "model-00004-of-00007.safetensors",
|
97 |
+
"model.layers.17.self_attn.v_proj.weight": "model-00004-of-00007.safetensors",
|
98 |
+
"model.layers.18.input_layernorm.weight": "model-00004-of-00007.safetensors",
|
99 |
+
"model.layers.18.mlp.down_proj.weight": "model-00004-of-00007.safetensors",
|
100 |
+
"model.layers.18.mlp.gate_proj.weight": "model-00004-of-00007.safetensors",
|
101 |
+
"model.layers.18.mlp.up_proj.weight": "model-00004-of-00007.safetensors",
|
102 |
+
"model.layers.18.post_attention_layernorm.weight": "model-00004-of-00007.safetensors",
|
103 |
+
"model.layers.18.self_attn.k_proj.weight": "model-00004-of-00007.safetensors",
|
104 |
+
"model.layers.18.self_attn.o_proj.weight": "model-00004-of-00007.safetensors",
|
105 |
+
"model.layers.18.self_attn.q_proj.weight": "model-00004-of-00007.safetensors",
|
106 |
+
"model.layers.18.self_attn.v_proj.weight": "model-00004-of-00007.safetensors",
|
107 |
+
"model.layers.19.input_layernorm.weight": "model-00004-of-00007.safetensors",
|
108 |
+
"model.layers.19.mlp.down_proj.weight": "model-00004-of-00007.safetensors",
|
109 |
+
"model.layers.19.mlp.gate_proj.weight": "model-00004-of-00007.safetensors",
|
110 |
+
"model.layers.19.mlp.up_proj.weight": "model-00004-of-00007.safetensors",
|
111 |
+
"model.layers.19.post_attention_layernorm.weight": "model-00004-of-00007.safetensors",
|
112 |
+
"model.layers.19.self_attn.k_proj.weight": "model-00004-of-00007.safetensors",
|
113 |
+
"model.layers.19.self_attn.o_proj.weight": "model-00004-of-00007.safetensors",
|
114 |
+
"model.layers.19.self_attn.q_proj.weight": "model-00004-of-00007.safetensors",
|
115 |
+
"model.layers.19.self_attn.v_proj.weight": "model-00004-of-00007.safetensors",
|
116 |
+
"model.layers.2.input_layernorm.weight": "model-00001-of-00007.safetensors",
|
117 |
+
"model.layers.2.mlp.down_proj.weight": "model-00001-of-00007.safetensors",
|
118 |
+
"model.layers.2.mlp.gate_proj.weight": "model-00001-of-00007.safetensors",
|
119 |
+
"model.layers.2.mlp.up_proj.weight": "model-00001-of-00007.safetensors",
|
120 |
+
"model.layers.2.post_attention_layernorm.weight": "model-00001-of-00007.safetensors",
|
121 |
+
"model.layers.2.self_attn.k_proj.weight": "model-00001-of-00007.safetensors",
|
122 |
+
"model.layers.2.self_attn.o_proj.weight": "model-00001-of-00007.safetensors",
|
123 |
+
"model.layers.2.self_attn.q_proj.weight": "model-00001-of-00007.safetensors",
|
124 |
+
"model.layers.2.self_attn.v_proj.weight": "model-00001-of-00007.safetensors",
|
125 |
+
"model.layers.20.input_layernorm.weight": "model-00005-of-00007.safetensors",
|
126 |
+
"model.layers.20.mlp.down_proj.weight": "model-00005-of-00007.safetensors",
|
127 |
+
"model.layers.20.mlp.gate_proj.weight": "model-00005-of-00007.safetensors",
|
128 |
+
"model.layers.20.mlp.up_proj.weight": "model-00005-of-00007.safetensors",
|
129 |
+
"model.layers.20.post_attention_layernorm.weight": "model-00005-of-00007.safetensors",
|
130 |
+
"model.layers.20.self_attn.k_proj.weight": "model-00004-of-00007.safetensors",
|
131 |
+
"model.layers.20.self_attn.o_proj.weight": "model-00004-of-00007.safetensors",
|
132 |
+
"model.layers.20.self_attn.q_proj.weight": "model-00004-of-00007.safetensors",
|
133 |
+
"model.layers.20.self_attn.v_proj.weight": "model-00004-of-00007.safetensors",
|
134 |
+
"model.layers.21.input_layernorm.weight": "model-00005-of-00007.safetensors",
|
135 |
+
"model.layers.21.mlp.down_proj.weight": "model-00005-of-00007.safetensors",
|
136 |
+
"model.layers.21.mlp.gate_proj.weight": "model-00005-of-00007.safetensors",
|
137 |
+
"model.layers.21.mlp.up_proj.weight": "model-00005-of-00007.safetensors",
|
138 |
+
"model.layers.21.post_attention_layernorm.weight": "model-00005-of-00007.safetensors",
|
139 |
+
"model.layers.21.self_attn.k_proj.weight": "model-00005-of-00007.safetensors",
|
140 |
+
"model.layers.21.self_attn.o_proj.weight": "model-00005-of-00007.safetensors",
|
141 |
+
"model.layers.21.self_attn.q_proj.weight": "model-00005-of-00007.safetensors",
|
142 |
+
"model.layers.21.self_attn.v_proj.weight": "model-00005-of-00007.safetensors",
|
143 |
+
"model.layers.22.input_layernorm.weight": "model-00005-of-00007.safetensors",
|
144 |
+
"model.layers.22.mlp.down_proj.weight": "model-00005-of-00007.safetensors",
|
145 |
+
"model.layers.22.mlp.gate_proj.weight": "model-00005-of-00007.safetensors",
|
146 |
+
"model.layers.22.mlp.up_proj.weight": "model-00005-of-00007.safetensors",
|
147 |
+
"model.layers.22.post_attention_layernorm.weight": "model-00005-of-00007.safetensors",
|
148 |
+
"model.layers.22.self_attn.k_proj.weight": "model-00005-of-00007.safetensors",
|
149 |
+
"model.layers.22.self_attn.o_proj.weight": "model-00005-of-00007.safetensors",
|
150 |
+
"model.layers.22.self_attn.q_proj.weight": "model-00005-of-00007.safetensors",
|
151 |
+
"model.layers.22.self_attn.v_proj.weight": "model-00005-of-00007.safetensors",
|
152 |
+
"model.layers.23.input_layernorm.weight": "model-00005-of-00007.safetensors",
|
153 |
+
"model.layers.23.mlp.down_proj.weight": "model-00005-of-00007.safetensors",
|
154 |
+
"model.layers.23.mlp.gate_proj.weight": "model-00005-of-00007.safetensors",
|
155 |
+
"model.layers.23.mlp.up_proj.weight": "model-00005-of-00007.safetensors",
|
156 |
+
"model.layers.23.post_attention_layernorm.weight": "model-00005-of-00007.safetensors",
|
157 |
+
"model.layers.23.self_attn.k_proj.weight": "model-00005-of-00007.safetensors",
|
158 |
+
"model.layers.23.self_attn.o_proj.weight": "model-00005-of-00007.safetensors",
|
159 |
+
"model.layers.23.self_attn.q_proj.weight": "model-00005-of-00007.safetensors",
|
160 |
+
"model.layers.23.self_attn.v_proj.weight": "model-00005-of-00007.safetensors",
|
161 |
+
"model.layers.24.input_layernorm.weight": "model-00005-of-00007.safetensors",
|
162 |
+
"model.layers.24.mlp.down_proj.weight": "model-00005-of-00007.safetensors",
|
163 |
+
"model.layers.24.mlp.gate_proj.weight": "model-00005-of-00007.safetensors",
|
164 |
+
"model.layers.24.mlp.up_proj.weight": "model-00005-of-00007.safetensors",
|
165 |
+
"model.layers.24.post_attention_layernorm.weight": "model-00005-of-00007.safetensors",
|
166 |
+
"model.layers.24.self_attn.k_proj.weight": "model-00005-of-00007.safetensors",
|
167 |
+
"model.layers.24.self_attn.o_proj.weight": "model-00005-of-00007.safetensors",
|
168 |
+
"model.layers.24.self_attn.q_proj.weight": "model-00005-of-00007.safetensors",
|
169 |
+
"model.layers.24.self_attn.v_proj.weight": "model-00005-of-00007.safetensors",
|
170 |
+
"model.layers.25.input_layernorm.weight": "model-00006-of-00007.safetensors",
|
171 |
+
"model.layers.25.mlp.down_proj.weight": "model-00006-of-00007.safetensors",
|
172 |
+
"model.layers.25.mlp.gate_proj.weight": "model-00005-of-00007.safetensors",
|
173 |
+
"model.layers.25.mlp.up_proj.weight": "model-00005-of-00007.safetensors",
|
174 |
+
"model.layers.25.post_attention_layernorm.weight": "model-00006-of-00007.safetensors",
|
175 |
+
"model.layers.25.self_attn.k_proj.weight": "model-00005-of-00007.safetensors",
|
176 |
+
"model.layers.25.self_attn.o_proj.weight": "model-00005-of-00007.safetensors",
|
177 |
+
"model.layers.25.self_attn.q_proj.weight": "model-00005-of-00007.safetensors",
|
178 |
+
"model.layers.25.self_attn.v_proj.weight": "model-00005-of-00007.safetensors",
|
179 |
+
"model.layers.26.input_layernorm.weight": "model-00006-of-00007.safetensors",
|
180 |
+
"model.layers.26.mlp.down_proj.weight": "model-00006-of-00007.safetensors",
|
181 |
+
"model.layers.26.mlp.gate_proj.weight": "model-00006-of-00007.safetensors",
|
182 |
+
"model.layers.26.mlp.up_proj.weight": "model-00006-of-00007.safetensors",
|
183 |
+
"model.layers.26.post_attention_layernorm.weight": "model-00006-of-00007.safetensors",
|
184 |
+
"model.layers.26.self_attn.k_proj.weight": "model-00006-of-00007.safetensors",
|
185 |
+
"model.layers.26.self_attn.o_proj.weight": "model-00006-of-00007.safetensors",
|
186 |
+
"model.layers.26.self_attn.q_proj.weight": "model-00006-of-00007.safetensors",
|
187 |
+
"model.layers.26.self_attn.v_proj.weight": "model-00006-of-00007.safetensors",
|
188 |
+
"model.layers.27.input_layernorm.weight": "model-00006-of-00007.safetensors",
|
189 |
+
"model.layers.27.mlp.down_proj.weight": "model-00006-of-00007.safetensors",
|
190 |
+
"model.layers.27.mlp.gate_proj.weight": "model-00006-of-00007.safetensors",
|
191 |
+
"model.layers.27.mlp.up_proj.weight": "model-00006-of-00007.safetensors",
|
192 |
+
"model.layers.27.post_attention_layernorm.weight": "model-00006-of-00007.safetensors",
|
193 |
+
"model.layers.27.self_attn.k_proj.weight": "model-00006-of-00007.safetensors",
|
194 |
+
"model.layers.27.self_attn.o_proj.weight": "model-00006-of-00007.safetensors",
|
195 |
+
"model.layers.27.self_attn.q_proj.weight": "model-00006-of-00007.safetensors",
|
196 |
+
"model.layers.27.self_attn.v_proj.weight": "model-00006-of-00007.safetensors",
|
197 |
+
"model.layers.28.input_layernorm.weight": "model-00006-of-00007.safetensors",
|
198 |
+
"model.layers.28.mlp.down_proj.weight": "model-00006-of-00007.safetensors",
|
199 |
+
"model.layers.28.mlp.gate_proj.weight": "model-00006-of-00007.safetensors",
|
200 |
+
"model.layers.28.mlp.up_proj.weight": "model-00006-of-00007.safetensors",
|
201 |
+
"model.layers.28.post_attention_layernorm.weight": "model-00006-of-00007.safetensors",
|
202 |
+
"model.layers.28.self_attn.k_proj.weight": "model-00006-of-00007.safetensors",
|
203 |
+
"model.layers.28.self_attn.o_proj.weight": "model-00006-of-00007.safetensors",
|
204 |
+
"model.layers.28.self_attn.q_proj.weight": "model-00006-of-00007.safetensors",
|
205 |
+
"model.layers.28.self_attn.v_proj.weight": "model-00006-of-00007.safetensors",
|
206 |
+
"model.layers.29.input_layernorm.weight": "model-00006-of-00007.safetensors",
|
207 |
+
"model.layers.29.mlp.down_proj.weight": "model-00006-of-00007.safetensors",
|
208 |
+
"model.layers.29.mlp.gate_proj.weight": "model-00006-of-00007.safetensors",
|
209 |
+
"model.layers.29.mlp.up_proj.weight": "model-00006-of-00007.safetensors",
|
210 |
+
"model.layers.29.post_attention_layernorm.weight": "model-00006-of-00007.safetensors",
|
211 |
+
"model.layers.29.self_attn.k_proj.weight": "model-00006-of-00007.safetensors",
|
212 |
+
"model.layers.29.self_attn.o_proj.weight": "model-00006-of-00007.safetensors",
|
213 |
+
"model.layers.29.self_attn.q_proj.weight": "model-00006-of-00007.safetensors",
|
214 |
+
"model.layers.29.self_attn.v_proj.weight": "model-00006-of-00007.safetensors",
|
215 |
+
"model.layers.3.input_layernorm.weight": "model-00002-of-00007.safetensors",
|
216 |
+
"model.layers.3.mlp.down_proj.weight": "model-00002-of-00007.safetensors",
|
217 |
+
"model.layers.3.mlp.gate_proj.weight": "model-00002-of-00007.safetensors",
|
218 |
+
"model.layers.3.mlp.up_proj.weight": "model-00002-of-00007.safetensors",
|
219 |
+
"model.layers.3.post_attention_layernorm.weight": "model-00002-of-00007.safetensors",
|
220 |
+
"model.layers.3.self_attn.k_proj.weight": "model-00001-of-00007.safetensors",
|
221 |
+
"model.layers.3.self_attn.o_proj.weight": "model-00002-of-00007.safetensors",
|
222 |
+
"model.layers.3.self_attn.q_proj.weight": "model-00001-of-00007.safetensors",
|
223 |
+
"model.layers.3.self_attn.v_proj.weight": "model-00001-of-00007.safetensors",
|
224 |
+
"model.layers.30.input_layernorm.weight": "model-00006-of-00007.safetensors",
|
225 |
+
"model.layers.30.mlp.down_proj.weight": "model-00006-of-00007.safetensors",
|
226 |
+
"model.layers.30.mlp.gate_proj.weight": "model-00006-of-00007.safetensors",
|
227 |
+
"model.layers.30.mlp.up_proj.weight": "model-00006-of-00007.safetensors",
|
228 |
+
"model.layers.30.post_attention_layernorm.weight": "model-00006-of-00007.safetensors",
|
229 |
+
"model.layers.30.self_attn.k_proj.weight": "model-00006-of-00007.safetensors",
|
230 |
+
"model.layers.30.self_attn.o_proj.weight": "model-00006-of-00007.safetensors",
|
231 |
+
"model.layers.30.self_attn.q_proj.weight": "model-00006-of-00007.safetensors",
|
232 |
+
"model.layers.30.self_attn.v_proj.weight": "model-00006-of-00007.safetensors",
|
233 |
+
"model.layers.31.input_layernorm.weight": "model-00007-of-00007.safetensors",
|
234 |
+
"model.layers.31.mlp.down_proj.weight": "model-00007-of-00007.safetensors",
|
235 |
+
"model.layers.31.mlp.gate_proj.weight": "model-00006-of-00007.safetensors",
|
236 |
+
"model.layers.31.mlp.up_proj.weight": "model-00007-of-00007.safetensors",
|
237 |
+
"model.layers.31.post_attention_layernorm.weight": "model-00007-of-00007.safetensors",
|
238 |
+
"model.layers.31.self_attn.k_proj.weight": "model-00006-of-00007.safetensors",
|
239 |
+
"model.layers.31.self_attn.o_proj.weight": "model-00006-of-00007.safetensors",
|
240 |
+
"model.layers.31.self_attn.q_proj.weight": "model-00006-of-00007.safetensors",
|
241 |
+
"model.layers.31.self_attn.v_proj.weight": "model-00006-of-00007.safetensors",
|
242 |
+
"model.layers.4.input_layernorm.weight": "model-00002-of-00007.safetensors",
|
243 |
+
"model.layers.4.mlp.down_proj.weight": "model-00002-of-00007.safetensors",
|
244 |
+
"model.layers.4.mlp.gate_proj.weight": "model-00002-of-00007.safetensors",
|
245 |
+
"model.layers.4.mlp.up_proj.weight": "model-00002-of-00007.safetensors",
|
246 |
+
"model.layers.4.post_attention_layernorm.weight": "model-00002-of-00007.safetensors",
|
247 |
+
"model.layers.4.self_attn.k_proj.weight": "model-00002-of-00007.safetensors",
|
248 |
+
"model.layers.4.self_attn.o_proj.weight": "model-00002-of-00007.safetensors",
|
249 |
+
"model.layers.4.self_attn.q_proj.weight": "model-00002-of-00007.safetensors",
|
250 |
+
"model.layers.4.self_attn.v_proj.weight": "model-00002-of-00007.safetensors",
|
251 |
+
"model.layers.5.input_layernorm.weight": "model-00002-of-00007.safetensors",
|
252 |
+
"model.layers.5.mlp.down_proj.weight": "model-00002-of-00007.safetensors",
|
253 |
+
"model.layers.5.mlp.gate_proj.weight": "model-00002-of-00007.safetensors",
|
254 |
+
"model.layers.5.mlp.up_proj.weight": "model-00002-of-00007.safetensors",
|
255 |
+
"model.layers.5.post_attention_layernorm.weight": "model-00002-of-00007.safetensors",
|
256 |
+
"model.layers.5.self_attn.k_proj.weight": "model-00002-of-00007.safetensors",
|
257 |
+
"model.layers.5.self_attn.o_proj.weight": "model-00002-of-00007.safetensors",
|
258 |
+
"model.layers.5.self_attn.q_proj.weight": "model-00002-of-00007.safetensors",
|
259 |
+
"model.layers.5.self_attn.v_proj.weight": "model-00002-of-00007.safetensors",
|
260 |
+
"model.layers.6.input_layernorm.weight": "model-00002-of-00007.safetensors",
|
261 |
+
"model.layers.6.mlp.down_proj.weight": "model-00002-of-00007.safetensors",
|
262 |
+
"model.layers.6.mlp.gate_proj.weight": "model-00002-of-00007.safetensors",
|
263 |
+
"model.layers.6.mlp.up_proj.weight": "model-00002-of-00007.safetensors",
|
264 |
+
"model.layers.6.post_attention_layernorm.weight": "model-00002-of-00007.safetensors",
|
265 |
+
"model.layers.6.self_attn.k_proj.weight": "model-00002-of-00007.safetensors",
|
266 |
+
"model.layers.6.self_attn.o_proj.weight": "model-00002-of-00007.safetensors",
|
267 |
+
"model.layers.6.self_attn.q_proj.weight": "model-00002-of-00007.safetensors",
|
268 |
+
"model.layers.6.self_attn.v_proj.weight": "model-00002-of-00007.safetensors",
|
269 |
+
"model.layers.7.input_layernorm.weight": "model-00002-of-00007.safetensors",
|
270 |
+
"model.layers.7.mlp.down_proj.weight": "model-00002-of-00007.safetensors",
|
271 |
+
"model.layers.7.mlp.gate_proj.weight": "model-00002-of-00007.safetensors",
|
272 |
+
"model.layers.7.mlp.up_proj.weight": "model-00002-of-00007.safetensors",
|
273 |
+
"model.layers.7.post_attention_layernorm.weight": "model-00002-of-00007.safetensors",
|
274 |
+
"model.layers.7.self_attn.k_proj.weight": "model-00002-of-00007.safetensors",
|
275 |
+
"model.layers.7.self_attn.o_proj.weight": "model-00002-of-00007.safetensors",
|
276 |
+
"model.layers.7.self_attn.q_proj.weight": "model-00002-of-00007.safetensors",
|
277 |
+
"model.layers.7.self_attn.v_proj.weight": "model-00002-of-00007.safetensors",
|
278 |
+
"model.layers.8.input_layernorm.weight": "model-00003-of-00007.safetensors",
|
279 |
+
"model.layers.8.mlp.down_proj.weight": "model-00003-of-00007.safetensors",
|
280 |
+
"model.layers.8.mlp.gate_proj.weight": "model-00002-of-00007.safetensors",
|
281 |
+
"model.layers.8.mlp.up_proj.weight": "model-00002-of-00007.safetensors",
|
282 |
+
"model.layers.8.post_attention_layernorm.weight": "model-00003-of-00007.safetensors",
|
283 |
+
"model.layers.8.self_attn.k_proj.weight": "model-00002-of-00007.safetensors",
|
284 |
+
"model.layers.8.self_attn.o_proj.weight": "model-00002-of-00007.safetensors",
|
285 |
+
"model.layers.8.self_attn.q_proj.weight": "model-00002-of-00007.safetensors",
|
286 |
+
"model.layers.8.self_attn.v_proj.weight": "model-00002-of-00007.safetensors",
|
287 |
+
"model.layers.9.input_layernorm.weight": "model-00003-of-00007.safetensors",
|
288 |
+
"model.layers.9.mlp.down_proj.weight": "model-00003-of-00007.safetensors",
|
289 |
+
"model.layers.9.mlp.gate_proj.weight": "model-00003-of-00007.safetensors",
|
290 |
+
"model.layers.9.mlp.up_proj.weight": "model-00003-of-00007.safetensors",
|
291 |
+
"model.layers.9.post_attention_layernorm.weight": "model-00003-of-00007.safetensors",
|
292 |
+
"model.layers.9.self_attn.k_proj.weight": "model-00003-of-00007.safetensors",
|
293 |
+
"model.layers.9.self_attn.o_proj.weight": "model-00003-of-00007.safetensors",
|
294 |
+
"model.layers.9.self_attn.q_proj.weight": "model-00003-of-00007.safetensors",
|
295 |
+
"model.layers.9.self_attn.v_proj.weight": "model-00003-of-00007.safetensors",
|
296 |
+
"model.norm.weight": "model-00007-of-00007.safetensors"
|
297 |
+
}
|
298 |
+
}
|
checkpoint-15260/optimizer.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:aa6b1d44aa1a007a4cb207ccf2db06799fc58bb1876cf62286a78f309a2bcac7
|
3 |
+
size 16040396334
|
checkpoint-15260/rng_state.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:9d9cd6a0487226e5bd30d1846894c82af483733ab4381b75bae9c0745e05d405
|
3 |
+
size 14244
|
checkpoint-15260/scheduler.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:2ce335347efaebf038b8915bc0a8d2d587a4a1aa08ad0e015b4bc7cc4fba634e
|
3 |
+
size 1064
|
checkpoint-15260/trainer_state.json
ADDED
@@ -0,0 +1,3477 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": null,
|
3 |
+
"best_model_checkpoint": null,
|
4 |
+
"epoch": 0.6503441368876388,
|
5 |
+
"eval_steps": 500,
|
6 |
+
"global_step": 15260,
|
7 |
+
"is_hyper_param_search": false,
|
8 |
+
"is_local_process_zero": true,
|
9 |
+
"is_world_process_zero": true,
|
10 |
+
"log_history": [
|
11 |
+
{
|
12 |
+
"epoch": 0.001321144707963093,
|
13 |
+
"grad_norm": 29.45369529724121,
|
14 |
+
"learning_rate": 1.0157273918741808e-06,
|
15 |
+
"loss": 9.356,
|
16 |
+
"step": 31
|
17 |
+
},
|
18 |
+
{
|
19 |
+
"epoch": 0.002642289415926186,
|
20 |
+
"grad_norm": 17.081205368041992,
|
21 |
+
"learning_rate": 2.0314547837483616e-06,
|
22 |
+
"loss": 7.7447,
|
23 |
+
"step": 62
|
24 |
+
},
|
25 |
+
{
|
26 |
+
"epoch": 0.00396343412388928,
|
27 |
+
"grad_norm": 17.875776290893555,
|
28 |
+
"learning_rate": 3.0471821756225426e-06,
|
29 |
+
"loss": 6.3787,
|
30 |
+
"step": 93
|
31 |
+
},
|
32 |
+
{
|
33 |
+
"epoch": 0.005284578831852372,
|
34 |
+
"grad_norm": 38.05577087402344,
|
35 |
+
"learning_rate": 4.062909567496723e-06,
|
36 |
+
"loss": 5.1973,
|
37 |
+
"step": 124
|
38 |
+
},
|
39 |
+
{
|
40 |
+
"epoch": 0.006605723539815466,
|
41 |
+
"grad_norm": 20.137739181518555,
|
42 |
+
"learning_rate": 5.078636959370905e-06,
|
43 |
+
"loss": 4.6404,
|
44 |
+
"step": 155
|
45 |
+
},
|
46 |
+
{
|
47 |
+
"epoch": 0.00792686824777856,
|
48 |
+
"grad_norm": 15.796778678894043,
|
49 |
+
"learning_rate": 6.094364351245085e-06,
|
50 |
+
"loss": 4.3168,
|
51 |
+
"step": 186
|
52 |
+
},
|
53 |
+
{
|
54 |
+
"epoch": 0.009248012955741652,
|
55 |
+
"grad_norm": 18.784709930419922,
|
56 |
+
"learning_rate": 7.110091743119267e-06,
|
57 |
+
"loss": 4.0553,
|
58 |
+
"step": 217
|
59 |
+
},
|
60 |
+
{
|
61 |
+
"epoch": 0.010569157663704745,
|
62 |
+
"grad_norm": 23.772998809814453,
|
63 |
+
"learning_rate": 8.125819134993446e-06,
|
64 |
+
"loss": 3.84,
|
65 |
+
"step": 248
|
66 |
+
},
|
67 |
+
{
|
68 |
+
"epoch": 0.011890302371667839,
|
69 |
+
"grad_norm": 14.564051628112793,
|
70 |
+
"learning_rate": 9.141546526867629e-06,
|
71 |
+
"loss": 3.7012,
|
72 |
+
"step": 279
|
73 |
+
},
|
74 |
+
{
|
75 |
+
"epoch": 0.013211447079630931,
|
76 |
+
"grad_norm": 14.735116004943848,
|
77 |
+
"learning_rate": 1.015727391874181e-05,
|
78 |
+
"loss": 3.5595,
|
79 |
+
"step": 310
|
80 |
+
},
|
81 |
+
{
|
82 |
+
"epoch": 0.014532591787594026,
|
83 |
+
"grad_norm": 13.88759708404541,
|
84 |
+
"learning_rate": 1.117300131061599e-05,
|
85 |
+
"loss": 3.4515,
|
86 |
+
"step": 341
|
87 |
+
},
|
88 |
+
{
|
89 |
+
"epoch": 0.01585373649555712,
|
90 |
+
"grad_norm": 10.884685516357422,
|
91 |
+
"learning_rate": 1.218872870249017e-05,
|
92 |
+
"loss": 3.3299,
|
93 |
+
"step": 372
|
94 |
+
},
|
95 |
+
{
|
96 |
+
"epoch": 0.01717488120352021,
|
97 |
+
"grad_norm": 12.495129585266113,
|
98 |
+
"learning_rate": 1.3204456094364351e-05,
|
99 |
+
"loss": 3.2453,
|
100 |
+
"step": 403
|
101 |
+
},
|
102 |
+
{
|
103 |
+
"epoch": 0.018496025911483305,
|
104 |
+
"grad_norm": 11.930519104003906,
|
105 |
+
"learning_rate": 1.4220183486238533e-05,
|
106 |
+
"loss": 3.1447,
|
107 |
+
"step": 434
|
108 |
+
},
|
109 |
+
{
|
110 |
+
"epoch": 0.0198171706194464,
|
111 |
+
"grad_norm": 7.951854228973389,
|
112 |
+
"learning_rate": 1.5235910878112714e-05,
|
113 |
+
"loss": 3.0765,
|
114 |
+
"step": 465
|
115 |
+
},
|
116 |
+
{
|
117 |
+
"epoch": 0.02113831532740949,
|
118 |
+
"grad_norm": 8.87326717376709,
|
119 |
+
"learning_rate": 1.6251638269986893e-05,
|
120 |
+
"loss": 3.0296,
|
121 |
+
"step": 496
|
122 |
+
},
|
123 |
+
{
|
124 |
+
"epoch": 0.022459460035372584,
|
125 |
+
"grad_norm": 8.348654747009277,
|
126 |
+
"learning_rate": 1.7267365661861077e-05,
|
127 |
+
"loss": 2.9469,
|
128 |
+
"step": 527
|
129 |
+
},
|
130 |
+
{
|
131 |
+
"epoch": 0.023780604743335678,
|
132 |
+
"grad_norm": 7.966938495635986,
|
133 |
+
"learning_rate": 1.8283093053735257e-05,
|
134 |
+
"loss": 2.8941,
|
135 |
+
"step": 558
|
136 |
+
},
|
137 |
+
{
|
138 |
+
"epoch": 0.02510174945129877,
|
139 |
+
"grad_norm": 6.656867027282715,
|
140 |
+
"learning_rate": 1.9298820445609438e-05,
|
141 |
+
"loss": 2.8428,
|
142 |
+
"step": 589
|
143 |
+
},
|
144 |
+
{
|
145 |
+
"epoch": 0.026422894159261863,
|
146 |
+
"grad_norm": 6.973931312561035,
|
147 |
+
"learning_rate": 2.031454783748362e-05,
|
148 |
+
"loss": 2.7875,
|
149 |
+
"step": 620
|
150 |
+
},
|
151 |
+
{
|
152 |
+
"epoch": 0.027744038867224957,
|
153 |
+
"grad_norm": 6.903556823730469,
|
154 |
+
"learning_rate": 2.13302752293578e-05,
|
155 |
+
"loss": 2.7264,
|
156 |
+
"step": 651
|
157 |
+
},
|
158 |
+
{
|
159 |
+
"epoch": 0.02906518357518805,
|
160 |
+
"grad_norm": 7.422015190124512,
|
161 |
+
"learning_rate": 2.234600262123198e-05,
|
162 |
+
"loss": 2.6833,
|
163 |
+
"step": 682
|
164 |
+
},
|
165 |
+
{
|
166 |
+
"epoch": 0.030386328283151142,
|
167 |
+
"grad_norm": 6.663395404815674,
|
168 |
+
"learning_rate": 2.336173001310616e-05,
|
169 |
+
"loss": 2.6303,
|
170 |
+
"step": 713
|
171 |
+
},
|
172 |
+
{
|
173 |
+
"epoch": 0.03170747299111424,
|
174 |
+
"grad_norm": 6.743407249450684,
|
175 |
+
"learning_rate": 2.437745740498034e-05,
|
176 |
+
"loss": 2.578,
|
177 |
+
"step": 744
|
178 |
+
},
|
179 |
+
{
|
180 |
+
"epoch": 0.03302861769907733,
|
181 |
+
"grad_norm": 5.852759838104248,
|
182 |
+
"learning_rate": 2.5393184796854525e-05,
|
183 |
+
"loss": 2.5248,
|
184 |
+
"step": 775
|
185 |
+
},
|
186 |
+
{
|
187 |
+
"epoch": 0.03434976240704042,
|
188 |
+
"grad_norm": 5.186204433441162,
|
189 |
+
"learning_rate": 2.6408912188728702e-05,
|
190 |
+
"loss": 2.5051,
|
191 |
+
"step": 806
|
192 |
+
},
|
193 |
+
{
|
194 |
+
"epoch": 0.035670907115003515,
|
195 |
+
"grad_norm": 5.873666286468506,
|
196 |
+
"learning_rate": 2.7424639580602886e-05,
|
197 |
+
"loss": 2.4878,
|
198 |
+
"step": 837
|
199 |
+
},
|
200 |
+
{
|
201 |
+
"epoch": 0.03699205182296661,
|
202 |
+
"grad_norm": 6.269757270812988,
|
203 |
+
"learning_rate": 2.8440366972477066e-05,
|
204 |
+
"loss": 2.4272,
|
205 |
+
"step": 868
|
206 |
+
},
|
207 |
+
{
|
208 |
+
"epoch": 0.038313196530929704,
|
209 |
+
"grad_norm": 5.196881294250488,
|
210 |
+
"learning_rate": 2.9456094364351244e-05,
|
211 |
+
"loss": 2.3863,
|
212 |
+
"step": 899
|
213 |
+
},
|
214 |
+
{
|
215 |
+
"epoch": 0.0396343412388928,
|
216 |
+
"grad_norm": 4.899730682373047,
|
217 |
+
"learning_rate": 3.0471821756225428e-05,
|
218 |
+
"loss": 2.3714,
|
219 |
+
"step": 930
|
220 |
+
},
|
221 |
+
{
|
222 |
+
"epoch": 0.04095548594685589,
|
223 |
+
"grad_norm": 4.69920015335083,
|
224 |
+
"learning_rate": 3.148754914809961e-05,
|
225 |
+
"loss": 2.3456,
|
226 |
+
"step": 961
|
227 |
+
},
|
228 |
+
{
|
229 |
+
"epoch": 0.04227663065481898,
|
230 |
+
"grad_norm": 5.293018341064453,
|
231 |
+
"learning_rate": 3.2503276539973785e-05,
|
232 |
+
"loss": 2.3162,
|
233 |
+
"step": 992
|
234 |
+
},
|
235 |
+
{
|
236 |
+
"epoch": 0.043597775362782074,
|
237 |
+
"grad_norm": 4.992343902587891,
|
238 |
+
"learning_rate": 3.351900393184797e-05,
|
239 |
+
"loss": 2.2939,
|
240 |
+
"step": 1023
|
241 |
+
},
|
242 |
+
{
|
243 |
+
"epoch": 0.04491892007074517,
|
244 |
+
"grad_norm": 4.305331230163574,
|
245 |
+
"learning_rate": 3.453473132372215e-05,
|
246 |
+
"loss": 2.275,
|
247 |
+
"step": 1054
|
248 |
+
},
|
249 |
+
{
|
250 |
+
"epoch": 0.04624006477870826,
|
251 |
+
"grad_norm": 4.863211631774902,
|
252 |
+
"learning_rate": 3.555045871559633e-05,
|
253 |
+
"loss": 2.2618,
|
254 |
+
"step": 1085
|
255 |
+
},
|
256 |
+
{
|
257 |
+
"epoch": 0.047561209486671356,
|
258 |
+
"grad_norm": 4.6537251472473145,
|
259 |
+
"learning_rate": 3.6566186107470514e-05,
|
260 |
+
"loss": 2.2584,
|
261 |
+
"step": 1116
|
262 |
+
},
|
263 |
+
{
|
264 |
+
"epoch": 0.04888235419463445,
|
265 |
+
"grad_norm": 7.502182483673096,
|
266 |
+
"learning_rate": 3.7581913499344695e-05,
|
267 |
+
"loss": 2.244,
|
268 |
+
"step": 1147
|
269 |
+
},
|
270 |
+
{
|
271 |
+
"epoch": 0.05020349890259754,
|
272 |
+
"grad_norm": 4.560093879699707,
|
273 |
+
"learning_rate": 3.8597640891218876e-05,
|
274 |
+
"loss": 2.2054,
|
275 |
+
"step": 1178
|
276 |
+
},
|
277 |
+
{
|
278 |
+
"epoch": 0.05152464361056063,
|
279 |
+
"grad_norm": 4.21810245513916,
|
280 |
+
"learning_rate": 3.9613368283093056e-05,
|
281 |
+
"loss": 2.1923,
|
282 |
+
"step": 1209
|
283 |
+
},
|
284 |
+
{
|
285 |
+
"epoch": 0.052845788318523726,
|
286 |
+
"grad_norm": 3.815044403076172,
|
287 |
+
"learning_rate": 4.062909567496724e-05,
|
288 |
+
"loss": 2.1746,
|
289 |
+
"step": 1240
|
290 |
+
},
|
291 |
+
{
|
292 |
+
"epoch": 0.05416693302648682,
|
293 |
+
"grad_norm": 3.4870846271514893,
|
294 |
+
"learning_rate": 4.164482306684142e-05,
|
295 |
+
"loss": 2.1751,
|
296 |
+
"step": 1271
|
297 |
+
},
|
298 |
+
{
|
299 |
+
"epoch": 0.055488077734449914,
|
300 |
+
"grad_norm": 3.8318536281585693,
|
301 |
+
"learning_rate": 4.26605504587156e-05,
|
302 |
+
"loss": 2.1773,
|
303 |
+
"step": 1302
|
304 |
+
},
|
305 |
+
{
|
306 |
+
"epoch": 0.05680922244241301,
|
307 |
+
"grad_norm": 3.6395630836486816,
|
308 |
+
"learning_rate": 4.367627785058978e-05,
|
309 |
+
"loss": 2.1534,
|
310 |
+
"step": 1333
|
311 |
+
},
|
312 |
+
{
|
313 |
+
"epoch": 0.0581303671503761,
|
314 |
+
"grad_norm": 3.4870851039886475,
|
315 |
+
"learning_rate": 4.469200524246396e-05,
|
316 |
+
"loss": 2.1373,
|
317 |
+
"step": 1364
|
318 |
+
},
|
319 |
+
{
|
320 |
+
"epoch": 0.05945151185833919,
|
321 |
+
"grad_norm": 3.533464193344116,
|
322 |
+
"learning_rate": 4.570773263433814e-05,
|
323 |
+
"loss": 2.104,
|
324 |
+
"step": 1395
|
325 |
+
},
|
326 |
+
{
|
327 |
+
"epoch": 0.060772656566302284,
|
328 |
+
"grad_norm": 3.7605605125427246,
|
329 |
+
"learning_rate": 4.672346002621232e-05,
|
330 |
+
"loss": 2.1497,
|
331 |
+
"step": 1426
|
332 |
+
},
|
333 |
+
{
|
334 |
+
"epoch": 0.06209380127426538,
|
335 |
+
"grad_norm": 3.331261396408081,
|
336 |
+
"learning_rate": 4.77391874180865e-05,
|
337 |
+
"loss": 2.103,
|
338 |
+
"step": 1457
|
339 |
+
},
|
340 |
+
{
|
341 |
+
"epoch": 0.06341494598222848,
|
342 |
+
"grad_norm": 3.4388535022735596,
|
343 |
+
"learning_rate": 4.875491480996068e-05,
|
344 |
+
"loss": 2.1017,
|
345 |
+
"step": 1488
|
346 |
+
},
|
347 |
+
{
|
348 |
+
"epoch": 0.06473609069019157,
|
349 |
+
"grad_norm": 3.3586745262145996,
|
350 |
+
"learning_rate": 4.977064220183487e-05,
|
351 |
+
"loss": 2.0883,
|
352 |
+
"step": 1519
|
353 |
+
},
|
354 |
+
{
|
355 |
+
"epoch": 0.06605723539815465,
|
356 |
+
"grad_norm": 3.0805885791778564,
|
357 |
+
"learning_rate": 4.9999915451558777e-05,
|
358 |
+
"loss": 2.0741,
|
359 |
+
"step": 1550
|
360 |
+
},
|
361 |
+
{
|
362 |
+
"epoch": 0.06737838010611776,
|
363 |
+
"grad_norm": 3.1708438396453857,
|
364 |
+
"learning_rate": 4.999955597496219e-05,
|
365 |
+
"loss": 2.0718,
|
366 |
+
"step": 1581
|
367 |
+
},
|
368 |
+
{
|
369 |
+
"epoch": 0.06869952481408084,
|
370 |
+
"grad_norm": 3.03056001663208,
|
371 |
+
"learning_rate": 4.9998914381774255e-05,
|
372 |
+
"loss": 2.0673,
|
373 |
+
"step": 1612
|
374 |
+
},
|
375 |
+
{
|
376 |
+
"epoch": 0.07002066952204394,
|
377 |
+
"grad_norm": 2.7995362281799316,
|
378 |
+
"learning_rate": 4.999799067923527e-05,
|
379 |
+
"loss": 2.0683,
|
380 |
+
"step": 1643
|
381 |
+
},
|
382 |
+
{
|
383 |
+
"epoch": 0.07134181423000703,
|
384 |
+
"grad_norm": 3.116344451904297,
|
385 |
+
"learning_rate": 4.999678487776908e-05,
|
386 |
+
"loss": 2.0231,
|
387 |
+
"step": 1674
|
388 |
+
},
|
389 |
+
{
|
390 |
+
"epoch": 0.07266295893797013,
|
391 |
+
"grad_norm": 3.1621696949005127,
|
392 |
+
"learning_rate": 4.9995296990983006e-05,
|
393 |
+
"loss": 2.0391,
|
394 |
+
"step": 1705
|
395 |
+
},
|
396 |
+
{
|
397 |
+
"epoch": 0.07398410364593322,
|
398 |
+
"grad_norm": 2.8406624794006348,
|
399 |
+
"learning_rate": 4.999352703566763e-05,
|
400 |
+
"loss": 2.0132,
|
401 |
+
"step": 1736
|
402 |
+
},
|
403 |
+
{
|
404 |
+
"epoch": 0.0753052483538963,
|
405 |
+
"grad_norm": 2.570624351501465,
|
406 |
+
"learning_rate": 4.999147503179668e-05,
|
407 |
+
"loss": 2.0116,
|
408 |
+
"step": 1767
|
409 |
+
},
|
410 |
+
{
|
411 |
+
"epoch": 0.07662639306185941,
|
412 |
+
"grad_norm": 2.7663609981536865,
|
413 |
+
"learning_rate": 4.998914100252672e-05,
|
414 |
+
"loss": 2.0127,
|
415 |
+
"step": 1798
|
416 |
+
},
|
417 |
+
{
|
418 |
+
"epoch": 0.0779475377698225,
|
419 |
+
"grad_norm": 2.5649290084838867,
|
420 |
+
"learning_rate": 4.998652497419696e-05,
|
421 |
+
"loss": 2.0033,
|
422 |
+
"step": 1829
|
423 |
+
},
|
424 |
+
{
|
425 |
+
"epoch": 0.0792686824777856,
|
426 |
+
"grad_norm": 2.575486183166504,
|
427 |
+
"learning_rate": 4.9983626976328927e-05,
|
428 |
+
"loss": 2.005,
|
429 |
+
"step": 1860
|
430 |
+
},
|
431 |
+
{
|
432 |
+
"epoch": 0.08058982718574868,
|
433 |
+
"grad_norm": 2.509678840637207,
|
434 |
+
"learning_rate": 4.998044704162613e-05,
|
435 |
+
"loss": 1.9824,
|
436 |
+
"step": 1891
|
437 |
+
},
|
438 |
+
{
|
439 |
+
"epoch": 0.08191097189371178,
|
440 |
+
"grad_norm": 2.6347391605377197,
|
441 |
+
"learning_rate": 4.9976985205973705e-05,
|
442 |
+
"loss": 1.9571,
|
443 |
+
"step": 1922
|
444 |
+
},
|
445 |
+
{
|
446 |
+
"epoch": 0.08323211660167487,
|
447 |
+
"grad_norm": 2.5539751052856445,
|
448 |
+
"learning_rate": 4.997324150843799e-05,
|
449 |
+
"loss": 1.9782,
|
450 |
+
"step": 1953
|
451 |
+
},
|
452 |
+
{
|
453 |
+
"epoch": 0.08455326130963796,
|
454 |
+
"grad_norm": 10.463569641113281,
|
455 |
+
"learning_rate": 4.99692159912661e-05,
|
456 |
+
"loss": 1.9713,
|
457 |
+
"step": 1984
|
458 |
+
},
|
459 |
+
{
|
460 |
+
"epoch": 0.08587440601760106,
|
461 |
+
"grad_norm": 2.604071617126465,
|
462 |
+
"learning_rate": 4.996490869988546e-05,
|
463 |
+
"loss": 1.9769,
|
464 |
+
"step": 2015
|
465 |
+
},
|
466 |
+
{
|
467 |
+
"epoch": 0.08719555072556415,
|
468 |
+
"grad_norm": 2.4612362384796143,
|
469 |
+
"learning_rate": 4.996031968290326e-05,
|
470 |
+
"loss": 1.9463,
|
471 |
+
"step": 2046
|
472 |
+
},
|
473 |
+
{
|
474 |
+
"epoch": 0.08851669543352725,
|
475 |
+
"grad_norm": 2.539299488067627,
|
476 |
+
"learning_rate": 4.995544899210594e-05,
|
477 |
+
"loss": 1.9414,
|
478 |
+
"step": 2077
|
479 |
+
},
|
480 |
+
{
|
481 |
+
"epoch": 0.08983784014149034,
|
482 |
+
"grad_norm": 2.6650774478912354,
|
483 |
+
"learning_rate": 4.9950296682458583e-05,
|
484 |
+
"loss": 1.9371,
|
485 |
+
"step": 2108
|
486 |
+
},
|
487 |
+
{
|
488 |
+
"epoch": 0.09115898484945342,
|
489 |
+
"grad_norm": 2.5480291843414307,
|
490 |
+
"learning_rate": 4.994486281210429e-05,
|
491 |
+
"loss": 1.9581,
|
492 |
+
"step": 2139
|
493 |
+
},
|
494 |
+
{
|
495 |
+
"epoch": 0.09248012955741652,
|
496 |
+
"grad_norm": 2.4799551963806152,
|
497 |
+
"learning_rate": 4.9939147442363566e-05,
|
498 |
+
"loss": 1.9524,
|
499 |
+
"step": 2170
|
500 |
+
},
|
501 |
+
{
|
502 |
+
"epoch": 0.09380127426537961,
|
503 |
+
"grad_norm": 2.3326504230499268,
|
504 |
+
"learning_rate": 4.9933150637733574e-05,
|
505 |
+
"loss": 1.9319,
|
506 |
+
"step": 2201
|
507 |
+
},
|
508 |
+
{
|
509 |
+
"epoch": 0.09512241897334271,
|
510 |
+
"grad_norm": 2.3550055027008057,
|
511 |
+
"learning_rate": 4.992687246588743e-05,
|
512 |
+
"loss": 1.9015,
|
513 |
+
"step": 2232
|
514 |
+
},
|
515 |
+
{
|
516 |
+
"epoch": 0.0964435636813058,
|
517 |
+
"grad_norm": 2.422797918319702,
|
518 |
+
"learning_rate": 4.992031299767347e-05,
|
519 |
+
"loss": 1.9364,
|
520 |
+
"step": 2263
|
521 |
+
},
|
522 |
+
{
|
523 |
+
"epoch": 0.0977647083892689,
|
524 |
+
"grad_norm": 2.2776873111724854,
|
525 |
+
"learning_rate": 4.9913472307114386e-05,
|
526 |
+
"loss": 1.9102,
|
527 |
+
"step": 2294
|
528 |
+
},
|
529 |
+
{
|
530 |
+
"epoch": 0.09908585309723199,
|
531 |
+
"grad_norm": 2.3031086921691895,
|
532 |
+
"learning_rate": 4.9906350471406446e-05,
|
533 |
+
"loss": 1.9193,
|
534 |
+
"step": 2325
|
535 |
+
},
|
536 |
+
{
|
537 |
+
"epoch": 0.10040699780519508,
|
538 |
+
"grad_norm": 2.2281057834625244,
|
539 |
+
"learning_rate": 4.989894757091861e-05,
|
540 |
+
"loss": 1.9143,
|
541 |
+
"step": 2356
|
542 |
+
},
|
543 |
+
{
|
544 |
+
"epoch": 0.10172814251315818,
|
545 |
+
"grad_norm": 2.39752459526062,
|
546 |
+
"learning_rate": 4.989126368919158e-05,
|
547 |
+
"loss": 1.905,
|
548 |
+
"step": 2387
|
549 |
+
},
|
550 |
+
{
|
551 |
+
"epoch": 0.10304928722112126,
|
552 |
+
"grad_norm": 2.3098957538604736,
|
553 |
+
"learning_rate": 4.988329891293693e-05,
|
554 |
+
"loss": 1.9204,
|
555 |
+
"step": 2418
|
556 |
+
},
|
557 |
+
{
|
558 |
+
"epoch": 0.10437043192908436,
|
559 |
+
"grad_norm": 2.244088649749756,
|
560 |
+
"learning_rate": 4.987505333203608e-05,
|
561 |
+
"loss": 1.8836,
|
562 |
+
"step": 2449
|
563 |
+
},
|
564 |
+
{
|
565 |
+
"epoch": 0.10569157663704745,
|
566 |
+
"grad_norm": 2.3035812377929688,
|
567 |
+
"learning_rate": 4.9866527039539276e-05,
|
568 |
+
"loss": 1.9097,
|
569 |
+
"step": 2480
|
570 |
+
},
|
571 |
+
{
|
572 |
+
"epoch": 0.10701272134501055,
|
573 |
+
"grad_norm": 2.2249033451080322,
|
574 |
+
"learning_rate": 4.9857720131664594e-05,
|
575 |
+
"loss": 1.8804,
|
576 |
+
"step": 2511
|
577 |
+
},
|
578 |
+
{
|
579 |
+
"epoch": 0.10833386605297364,
|
580 |
+
"grad_norm": 2.180612325668335,
|
581 |
+
"learning_rate": 4.9848632707796773e-05,
|
582 |
+
"loss": 1.8848,
|
583 |
+
"step": 2542
|
584 |
+
},
|
585 |
+
{
|
586 |
+
"epoch": 0.10965501076093673,
|
587 |
+
"grad_norm": 2.2042863368988037,
|
588 |
+
"learning_rate": 4.9839264870486155e-05,
|
589 |
+
"loss": 1.8879,
|
590 |
+
"step": 2573
|
591 |
+
},
|
592 |
+
{
|
593 |
+
"epoch": 0.11097615546889983,
|
594 |
+
"grad_norm": 2.278650999069214,
|
595 |
+
"learning_rate": 4.9829616725447526e-05,
|
596 |
+
"loss": 1.8728,
|
597 |
+
"step": 2604
|
598 |
+
},
|
599 |
+
{
|
600 |
+
"epoch": 0.11229730017686292,
|
601 |
+
"grad_norm": 2.2380714416503906,
|
602 |
+
"learning_rate": 4.981968838155888e-05,
|
603 |
+
"loss": 1.8927,
|
604 |
+
"step": 2635
|
605 |
+
},
|
606 |
+
{
|
607 |
+
"epoch": 0.11361844488482602,
|
608 |
+
"grad_norm": 2.062289237976074,
|
609 |
+
"learning_rate": 4.980947995086024e-05,
|
610 |
+
"loss": 1.8706,
|
611 |
+
"step": 2666
|
612 |
+
},
|
613 |
+
{
|
614 |
+
"epoch": 0.1149395895927891,
|
615 |
+
"grad_norm": 2.169900894165039,
|
616 |
+
"learning_rate": 4.979899154855234e-05,
|
617 |
+
"loss": 1.8753,
|
618 |
+
"step": 2697
|
619 |
+
},
|
620 |
+
{
|
621 |
+
"epoch": 0.1162607343007522,
|
622 |
+
"grad_norm": 2.1450119018554688,
|
623 |
+
"learning_rate": 4.9788223292995386e-05,
|
624 |
+
"loss": 1.8685,
|
625 |
+
"step": 2728
|
626 |
+
},
|
627 |
+
{
|
628 |
+
"epoch": 0.11758187900871529,
|
629 |
+
"grad_norm": 2.285205125808716,
|
630 |
+
"learning_rate": 4.977717530570768e-05,
|
631 |
+
"loss": 1.8601,
|
632 |
+
"step": 2759
|
633 |
+
},
|
634 |
+
{
|
635 |
+
"epoch": 0.11890302371667838,
|
636 |
+
"grad_norm": 2.1305880546569824,
|
637 |
+
"learning_rate": 4.976584771136425e-05,
|
638 |
+
"loss": 1.8557,
|
639 |
+
"step": 2790
|
640 |
+
},
|
641 |
+
{
|
642 |
+
"epoch": 0.12022416842464148,
|
643 |
+
"grad_norm": 2.0517284870147705,
|
644 |
+
"learning_rate": 4.975424063779547e-05,
|
645 |
+
"loss": 1.8587,
|
646 |
+
"step": 2821
|
647 |
+
},
|
648 |
+
{
|
649 |
+
"epoch": 0.12154531313260457,
|
650 |
+
"grad_norm": 2.190729856491089,
|
651 |
+
"learning_rate": 4.974235421598557e-05,
|
652 |
+
"loss": 1.8431,
|
653 |
+
"step": 2852
|
654 |
+
},
|
655 |
+
{
|
656 |
+
"epoch": 0.12286645784056767,
|
657 |
+
"grad_norm": 2.133803367614746,
|
658 |
+
"learning_rate": 4.973018858007122e-05,
|
659 |
+
"loss": 1.8492,
|
660 |
+
"step": 2883
|
661 |
+
},
|
662 |
+
{
|
663 |
+
"epoch": 0.12418760254853076,
|
664 |
+
"grad_norm": 2.3807687759399414,
|
665 |
+
"learning_rate": 4.9717743867339963e-05,
|
666 |
+
"loss": 1.8391,
|
667 |
+
"step": 2914
|
668 |
+
},
|
669 |
+
{
|
670 |
+
"epoch": 0.12550874725649386,
|
671 |
+
"grad_norm": 2.0250234603881836,
|
672 |
+
"learning_rate": 4.9705020218228695e-05,
|
673 |
+
"loss": 1.8465,
|
674 |
+
"step": 2945
|
675 |
+
},
|
676 |
+
{
|
677 |
+
"epoch": 0.12682989196445696,
|
678 |
+
"grad_norm": 2.1557273864746094,
|
679 |
+
"learning_rate": 4.969201777632205e-05,
|
680 |
+
"loss": 1.8346,
|
681 |
+
"step": 2976
|
682 |
+
},
|
683 |
+
{
|
684 |
+
"epoch": 0.12815103667242003,
|
685 |
+
"grad_norm": 1.9695699214935303,
|
686 |
+
"learning_rate": 4.9678736688350846e-05,
|
687 |
+
"loss": 1.8423,
|
688 |
+
"step": 3007
|
689 |
+
},
|
690 |
+
{
|
691 |
+
"epoch": 0.12947218138038313,
|
692 |
+
"grad_norm": 2.1525843143463135,
|
693 |
+
"learning_rate": 4.966517710419033e-05,
|
694 |
+
"loss": 1.851,
|
695 |
+
"step": 3038
|
696 |
+
},
|
697 |
+
{
|
698 |
+
"epoch": 0.13079332608834623,
|
699 |
+
"grad_norm": 1.9812391996383667,
|
700 |
+
"learning_rate": 4.965133917685858e-05,
|
701 |
+
"loss": 1.8338,
|
702 |
+
"step": 3069
|
703 |
+
},
|
704 |
+
{
|
705 |
+
"epoch": 0.1321144707963093,
|
706 |
+
"grad_norm": 2.2273776531219482,
|
707 |
+
"learning_rate": 4.9637223062514714e-05,
|
708 |
+
"loss": 1.8329,
|
709 |
+
"step": 3100
|
710 |
+
},
|
711 |
+
{
|
712 |
+
"epoch": 0.1334356155042724,
|
713 |
+
"grad_norm": 2.1103451251983643,
|
714 |
+
"learning_rate": 4.962282892045718e-05,
|
715 |
+
"loss": 1.8243,
|
716 |
+
"step": 3131
|
717 |
+
},
|
718 |
+
{
|
719 |
+
"epoch": 0.1347567602122355,
|
720 |
+
"grad_norm": 2.083226203918457,
|
721 |
+
"learning_rate": 4.9608156913121904e-05,
|
722 |
+
"loss": 1.8254,
|
723 |
+
"step": 3162
|
724 |
+
},
|
725 |
+
{
|
726 |
+
"epoch": 0.1360779049201986,
|
727 |
+
"grad_norm": 1.878396987915039,
|
728 |
+
"learning_rate": 4.959320720608049e-05,
|
729 |
+
"loss": 1.819,
|
730 |
+
"step": 3193
|
731 |
+
},
|
732 |
+
{
|
733 |
+
"epoch": 0.13739904962816168,
|
734 |
+
"grad_norm": 1.9980756044387817,
|
735 |
+
"learning_rate": 4.9577979968038354e-05,
|
736 |
+
"loss": 1.8391,
|
737 |
+
"step": 3224
|
738 |
+
},
|
739 |
+
{
|
740 |
+
"epoch": 0.13872019433612479,
|
741 |
+
"grad_norm": 1.977419376373291,
|
742 |
+
"learning_rate": 4.956247537083282e-05,
|
743 |
+
"loss": 1.8233,
|
744 |
+
"step": 3255
|
745 |
+
},
|
746 |
+
{
|
747 |
+
"epoch": 0.1400413390440879,
|
748 |
+
"grad_norm": 1.9977376461029053,
|
749 |
+
"learning_rate": 4.9546693589431145e-05,
|
750 |
+
"loss": 1.8254,
|
751 |
+
"step": 3286
|
752 |
+
},
|
753 |
+
{
|
754 |
+
"epoch": 0.14136248375205096,
|
755 |
+
"grad_norm": 1.8682738542556763,
|
756 |
+
"learning_rate": 4.9530634801928595e-05,
|
757 |
+
"loss": 1.8154,
|
758 |
+
"step": 3317
|
759 |
+
},
|
760 |
+
{
|
761 |
+
"epoch": 0.14268362846001406,
|
762 |
+
"grad_norm": 1.9372395277023315,
|
763 |
+
"learning_rate": 4.9514299189546395e-05,
|
764 |
+
"loss": 1.8229,
|
765 |
+
"step": 3348
|
766 |
+
},
|
767 |
+
{
|
768 |
+
"epoch": 0.14400477316797716,
|
769 |
+
"grad_norm": 1.9475616216659546,
|
770 |
+
"learning_rate": 4.949768693662973e-05,
|
771 |
+
"loss": 1.8122,
|
772 |
+
"step": 3379
|
773 |
+
},
|
774 |
+
{
|
775 |
+
"epoch": 0.14532591787594026,
|
776 |
+
"grad_norm": 1.8302438259124756,
|
777 |
+
"learning_rate": 4.948079823064559e-05,
|
778 |
+
"loss": 1.8275,
|
779 |
+
"step": 3410
|
780 |
+
},
|
781 |
+
{
|
782 |
+
"epoch": 0.14664706258390334,
|
783 |
+
"grad_norm": 1.9195733070373535,
|
784 |
+
"learning_rate": 4.946363326218074e-05,
|
785 |
+
"loss": 1.8288,
|
786 |
+
"step": 3441
|
787 |
+
},
|
788 |
+
{
|
789 |
+
"epoch": 0.14796820729186644,
|
790 |
+
"grad_norm": 2.056960105895996,
|
791 |
+
"learning_rate": 4.9446192224939525e-05,
|
792 |
+
"loss": 1.8267,
|
793 |
+
"step": 3472
|
794 |
+
},
|
795 |
+
{
|
796 |
+
"epoch": 0.14928935199982954,
|
797 |
+
"grad_norm": 1.9093526601791382,
|
798 |
+
"learning_rate": 4.942847531574167e-05,
|
799 |
+
"loss": 1.8118,
|
800 |
+
"step": 3503
|
801 |
+
},
|
802 |
+
{
|
803 |
+
"epoch": 0.1506104967077926,
|
804 |
+
"grad_norm": 1.800930380821228,
|
805 |
+
"learning_rate": 4.941048273452008e-05,
|
806 |
+
"loss": 1.7869,
|
807 |
+
"step": 3534
|
808 |
+
},
|
809 |
+
{
|
810 |
+
"epoch": 0.1519316414157557,
|
811 |
+
"grad_norm": 2.0274600982666016,
|
812 |
+
"learning_rate": 4.9392214684318605e-05,
|
813 |
+
"loss": 1.7937,
|
814 |
+
"step": 3565
|
815 |
+
},
|
816 |
+
{
|
817 |
+
"epoch": 0.15325278612371881,
|
818 |
+
"grad_norm": 1.880557656288147,
|
819 |
+
"learning_rate": 4.93736713712897e-05,
|
820 |
+
"loss": 1.793,
|
821 |
+
"step": 3596
|
822 |
+
},
|
823 |
+
{
|
824 |
+
"epoch": 0.15457393083168192,
|
825 |
+
"grad_norm": 1.9970703125,
|
826 |
+
"learning_rate": 4.9354853004692124e-05,
|
827 |
+
"loss": 1.7922,
|
828 |
+
"step": 3627
|
829 |
+
},
|
830 |
+
{
|
831 |
+
"epoch": 0.155895075539645,
|
832 |
+
"grad_norm": 2.0239968299865723,
|
833 |
+
"learning_rate": 4.93357597968886e-05,
|
834 |
+
"loss": 1.8026,
|
835 |
+
"step": 3658
|
836 |
+
},
|
837 |
+
{
|
838 |
+
"epoch": 0.1572162202476081,
|
839 |
+
"grad_norm": 1.8837428092956543,
|
840 |
+
"learning_rate": 4.931639196334338e-05,
|
841 |
+
"loss": 1.7898,
|
842 |
+
"step": 3689
|
843 |
+
},
|
844 |
+
{
|
845 |
+
"epoch": 0.1585373649555712,
|
846 |
+
"grad_norm": 1.8433760404586792,
|
847 |
+
"learning_rate": 4.9296749722619826e-05,
|
848 |
+
"loss": 1.7854,
|
849 |
+
"step": 3720
|
850 |
+
},
|
851 |
+
{
|
852 |
+
"epoch": 0.15985850966353427,
|
853 |
+
"grad_norm": 1.898555874824524,
|
854 |
+
"learning_rate": 4.9276833296377966e-05,
|
855 |
+
"loss": 1.8011,
|
856 |
+
"step": 3751
|
857 |
+
},
|
858 |
+
{
|
859 |
+
"epoch": 0.16117965437149737,
|
860 |
+
"grad_norm": 1.9116350412368774,
|
861 |
+
"learning_rate": 4.925664290937196e-05,
|
862 |
+
"loss": 1.7759,
|
863 |
+
"step": 3782
|
864 |
+
},
|
865 |
+
{
|
866 |
+
"epoch": 0.16250079907946047,
|
867 |
+
"grad_norm": 1.8142945766448975,
|
868 |
+
"learning_rate": 4.9236178789447576e-05,
|
869 |
+
"loss": 1.7712,
|
870 |
+
"step": 3813
|
871 |
+
},
|
872 |
+
{
|
873 |
+
"epoch": 0.16382194378742357,
|
874 |
+
"grad_norm": 1.8500661849975586,
|
875 |
+
"learning_rate": 4.921544116753962e-05,
|
876 |
+
"loss": 1.7885,
|
877 |
+
"step": 3844
|
878 |
+
},
|
879 |
+
{
|
880 |
+
"epoch": 0.16514308849538664,
|
881 |
+
"grad_norm": 1.9167587757110596,
|
882 |
+
"learning_rate": 4.919443027766935e-05,
|
883 |
+
"loss": 1.792,
|
884 |
+
"step": 3875
|
885 |
+
},
|
886 |
+
{
|
887 |
+
"epoch": 0.16646423320334974,
|
888 |
+
"grad_norm": 1.891123652458191,
|
889 |
+
"learning_rate": 4.91731463569418e-05,
|
890 |
+
"loss": 1.7963,
|
891 |
+
"step": 3906
|
892 |
+
},
|
893 |
+
{
|
894 |
+
"epoch": 0.16778537791131284,
|
895 |
+
"grad_norm": 1.7814100980758667,
|
896 |
+
"learning_rate": 4.915158964554312e-05,
|
897 |
+
"loss": 1.7836,
|
898 |
+
"step": 3937
|
899 |
+
},
|
900 |
+
{
|
901 |
+
"epoch": 0.16910652261927592,
|
902 |
+
"grad_norm": 2.0991482734680176,
|
903 |
+
"learning_rate": 4.912976038673786e-05,
|
904 |
+
"loss": 1.7788,
|
905 |
+
"step": 3968
|
906 |
+
},
|
907 |
+
{
|
908 |
+
"epoch": 0.17042766732723902,
|
909 |
+
"grad_norm": 1.8836603164672852,
|
910 |
+
"learning_rate": 4.9107658826866254e-05,
|
911 |
+
"loss": 1.7885,
|
912 |
+
"step": 3999
|
913 |
+
},
|
914 |
+
{
|
915 |
+
"epoch": 0.17174881203520212,
|
916 |
+
"grad_norm": 1.8759151697158813,
|
917 |
+
"learning_rate": 4.908528521534139e-05,
|
918 |
+
"loss": 1.7622,
|
919 |
+
"step": 4030
|
920 |
+
},
|
921 |
+
{
|
922 |
+
"epoch": 0.17306995674316522,
|
923 |
+
"grad_norm": 1.9080370664596558,
|
924 |
+
"learning_rate": 4.906263980464644e-05,
|
925 |
+
"loss": 1.7778,
|
926 |
+
"step": 4061
|
927 |
+
},
|
928 |
+
{
|
929 |
+
"epoch": 0.1743911014511283,
|
930 |
+
"grad_norm": 1.776382327079773,
|
931 |
+
"learning_rate": 4.903972285033178e-05,
|
932 |
+
"loss": 1.7415,
|
933 |
+
"step": 4092
|
934 |
+
},
|
935 |
+
{
|
936 |
+
"epoch": 0.1757122461590914,
|
937 |
+
"grad_norm": 1.8282791376113892,
|
938 |
+
"learning_rate": 4.901653461101213e-05,
|
939 |
+
"loss": 1.776,
|
940 |
+
"step": 4123
|
941 |
+
},
|
942 |
+
{
|
943 |
+
"epoch": 0.1770333908670545,
|
944 |
+
"grad_norm": 1.7473266124725342,
|
945 |
+
"learning_rate": 4.8993075348363626e-05,
|
946 |
+
"loss": 1.7625,
|
947 |
+
"step": 4154
|
948 |
+
},
|
949 |
+
{
|
950 |
+
"epoch": 0.17835453557501757,
|
951 |
+
"grad_norm": 1.849486231803894,
|
952 |
+
"learning_rate": 4.896934532712084e-05,
|
953 |
+
"loss": 1.7645,
|
954 |
+
"step": 4185
|
955 |
+
},
|
956 |
+
{
|
957 |
+
"epoch": 0.17967568028298067,
|
958 |
+
"grad_norm": 1.772829294204712,
|
959 |
+
"learning_rate": 4.8945344815073846e-05,
|
960 |
+
"loss": 1.7563,
|
961 |
+
"step": 4216
|
962 |
+
},
|
963 |
+
{
|
964 |
+
"epoch": 0.18099682499094377,
|
965 |
+
"grad_norm": 1.8278394937515259,
|
966 |
+
"learning_rate": 4.892107408306516e-05,
|
967 |
+
"loss": 1.7591,
|
968 |
+
"step": 4247
|
969 |
+
},
|
970 |
+
{
|
971 |
+
"epoch": 0.18231796969890685,
|
972 |
+
"grad_norm": 1.7458796501159668,
|
973 |
+
"learning_rate": 4.889653340498669e-05,
|
974 |
+
"loss": 1.7444,
|
975 |
+
"step": 4278
|
976 |
+
},
|
977 |
+
{
|
978 |
+
"epoch": 0.18363911440686995,
|
979 |
+
"grad_norm": 1.8150420188903809,
|
980 |
+
"learning_rate": 4.8871723057776664e-05,
|
981 |
+
"loss": 1.7486,
|
982 |
+
"step": 4309
|
983 |
+
},
|
984 |
+
{
|
985 |
+
"epoch": 0.18496025911483305,
|
986 |
+
"grad_norm": 1.914010763168335,
|
987 |
+
"learning_rate": 4.8846643321416476e-05,
|
988 |
+
"loss": 1.7456,
|
989 |
+
"step": 4340
|
990 |
+
},
|
991 |
+
{
|
992 |
+
"epoch": 0.18628140382279615,
|
993 |
+
"grad_norm": 1.7134442329406738,
|
994 |
+
"learning_rate": 4.882129447892753e-05,
|
995 |
+
"loss": 1.7521,
|
996 |
+
"step": 4371
|
997 |
+
},
|
998 |
+
{
|
999 |
+
"epoch": 0.18760254853075922,
|
1000 |
+
"grad_norm": 1.6600676774978638,
|
1001 |
+
"learning_rate": 4.8795676816368076e-05,
|
1002 |
+
"loss": 1.7416,
|
1003 |
+
"step": 4402
|
1004 |
+
},
|
1005 |
+
{
|
1006 |
+
"epoch": 0.18892369323872232,
|
1007 |
+
"grad_norm": 1.8451883792877197,
|
1008 |
+
"learning_rate": 4.876979062282995e-05,
|
1009 |
+
"loss": 1.7595,
|
1010 |
+
"step": 4433
|
1011 |
+
},
|
1012 |
+
{
|
1013 |
+
"epoch": 0.19024483794668542,
|
1014 |
+
"grad_norm": 1.8544697761535645,
|
1015 |
+
"learning_rate": 4.8743636190435325e-05,
|
1016 |
+
"loss": 1.7669,
|
1017 |
+
"step": 4464
|
1018 |
+
},
|
1019 |
+
{
|
1020 |
+
"epoch": 0.1915659826546485,
|
1021 |
+
"grad_norm": 1.704041600227356,
|
1022 |
+
"learning_rate": 4.871721381433344e-05,
|
1023 |
+
"loss": 1.7403,
|
1024 |
+
"step": 4495
|
1025 |
+
},
|
1026 |
+
{
|
1027 |
+
"epoch": 0.1928871273626116,
|
1028 |
+
"grad_norm": 1.6593477725982666,
|
1029 |
+
"learning_rate": 4.869052379269719e-05,
|
1030 |
+
"loss": 1.7359,
|
1031 |
+
"step": 4526
|
1032 |
+
},
|
1033 |
+
{
|
1034 |
+
"epoch": 0.1942082720705747,
|
1035 |
+
"grad_norm": 1.7819074392318726,
|
1036 |
+
"learning_rate": 4.866356642671985e-05,
|
1037 |
+
"loss": 1.7485,
|
1038 |
+
"step": 4557
|
1039 |
+
},
|
1040 |
+
{
|
1041 |
+
"epoch": 0.1955294167785378,
|
1042 |
+
"grad_norm": 1.840776801109314,
|
1043 |
+
"learning_rate": 4.8636342020611634e-05,
|
1044 |
+
"loss": 1.7566,
|
1045 |
+
"step": 4588
|
1046 |
+
},
|
1047 |
+
{
|
1048 |
+
"epoch": 0.19685056148650087,
|
1049 |
+
"grad_norm": 1.9981670379638672,
|
1050 |
+
"learning_rate": 4.860885088159626e-05,
|
1051 |
+
"loss": 1.747,
|
1052 |
+
"step": 4619
|
1053 |
+
},
|
1054 |
+
{
|
1055 |
+
"epoch": 0.19817170619446398,
|
1056 |
+
"grad_norm": 1.8164016008377075,
|
1057 |
+
"learning_rate": 4.858109331990751e-05,
|
1058 |
+
"loss": 1.7575,
|
1059 |
+
"step": 4650
|
1060 |
+
},
|
1061 |
+
{
|
1062 |
+
"epoch": 0.19949285090242708,
|
1063 |
+
"grad_norm": 1.7589538097381592,
|
1064 |
+
"learning_rate": 4.855306964878567e-05,
|
1065 |
+
"loss": 1.7387,
|
1066 |
+
"step": 4681
|
1067 |
+
},
|
1068 |
+
{
|
1069 |
+
"epoch": 0.20081399561039015,
|
1070 |
+
"grad_norm": 1.8388264179229736,
|
1071 |
+
"learning_rate": 4.8524780184474084e-05,
|
1072 |
+
"loss": 1.7273,
|
1073 |
+
"step": 4712
|
1074 |
+
},
|
1075 |
+
{
|
1076 |
+
"epoch": 0.20213514031835325,
|
1077 |
+
"grad_norm": 1.7422165870666504,
|
1078 |
+
"learning_rate": 4.8496225246215496e-05,
|
1079 |
+
"loss": 1.7301,
|
1080 |
+
"step": 4743
|
1081 |
+
},
|
1082 |
+
{
|
1083 |
+
"epoch": 0.20345628502631635,
|
1084 |
+
"grad_norm": 1.6752463579177856,
|
1085 |
+
"learning_rate": 4.8467405156248505e-05,
|
1086 |
+
"loss": 1.7422,
|
1087 |
+
"step": 4774
|
1088 |
+
},
|
1089 |
+
{
|
1090 |
+
"epoch": 0.20477742973427945,
|
1091 |
+
"grad_norm": 6.59528923034668,
|
1092 |
+
"learning_rate": 4.843832023980392e-05,
|
1093 |
+
"loss": 1.748,
|
1094 |
+
"step": 4805
|
1095 |
+
},
|
1096 |
+
{
|
1097 |
+
"epoch": 0.20609857444224253,
|
1098 |
+
"grad_norm": 1.716232419013977,
|
1099 |
+
"learning_rate": 4.840897082510106e-05,
|
1100 |
+
"loss": 1.745,
|
1101 |
+
"step": 4836
|
1102 |
+
},
|
1103 |
+
{
|
1104 |
+
"epoch": 0.20741971915020563,
|
1105 |
+
"grad_norm": 1.7691062688827515,
|
1106 |
+
"learning_rate": 4.8379357243344084e-05,
|
1107 |
+
"loss": 1.7208,
|
1108 |
+
"step": 4867
|
1109 |
+
},
|
1110 |
+
{
|
1111 |
+
"epoch": 0.20874086385816873,
|
1112 |
+
"grad_norm": 1.6334593296051025,
|
1113 |
+
"learning_rate": 4.8349479828718236e-05,
|
1114 |
+
"loss": 1.7288,
|
1115 |
+
"step": 4898
|
1116 |
+
},
|
1117 |
+
{
|
1118 |
+
"epoch": 0.2100620085661318,
|
1119 |
+
"grad_norm": 1.6801882982254028,
|
1120 |
+
"learning_rate": 4.8319338918386075e-05,
|
1121 |
+
"loss": 1.7428,
|
1122 |
+
"step": 4929
|
1123 |
+
},
|
1124 |
+
{
|
1125 |
+
"epoch": 0.2113831532740949,
|
1126 |
+
"grad_norm": 1.6692436933517456,
|
1127 |
+
"learning_rate": 4.828893485248369e-05,
|
1128 |
+
"loss": 1.7286,
|
1129 |
+
"step": 4960
|
1130 |
+
},
|
1131 |
+
{
|
1132 |
+
"epoch": 0.212704297982058,
|
1133 |
+
"grad_norm": 1.731826663017273,
|
1134 |
+
"learning_rate": 4.825826797411682e-05,
|
1135 |
+
"loss": 1.7455,
|
1136 |
+
"step": 4991
|
1137 |
+
},
|
1138 |
+
{
|
1139 |
+
"epoch": 0.2140254426900211,
|
1140 |
+
"grad_norm": 1.689012050628662,
|
1141 |
+
"learning_rate": 4.822733862935702e-05,
|
1142 |
+
"loss": 1.7398,
|
1143 |
+
"step": 5022
|
1144 |
+
},
|
1145 |
+
{
|
1146 |
+
"epoch": 0.21534658739798418,
|
1147 |
+
"grad_norm": 1.6423673629760742,
|
1148 |
+
"learning_rate": 4.819614716723775e-05,
|
1149 |
+
"loss": 1.7305,
|
1150 |
+
"step": 5053
|
1151 |
+
},
|
1152 |
+
{
|
1153 |
+
"epoch": 0.21666773210594728,
|
1154 |
+
"grad_norm": 1.7029454708099365,
|
1155 |
+
"learning_rate": 4.8164693939750425e-05,
|
1156 |
+
"loss": 1.7355,
|
1157 |
+
"step": 5084
|
1158 |
+
},
|
1159 |
+
{
|
1160 |
+
"epoch": 0.21798887681391038,
|
1161 |
+
"grad_norm": 1.7331738471984863,
|
1162 |
+
"learning_rate": 4.813297930184042e-05,
|
1163 |
+
"loss": 1.7167,
|
1164 |
+
"step": 5115
|
1165 |
+
},
|
1166 |
+
{
|
1167 |
+
"epoch": 0.21931002152187345,
|
1168 |
+
"grad_norm": 1.729872226715088,
|
1169 |
+
"learning_rate": 4.810100361140314e-05,
|
1170 |
+
"loss": 1.7402,
|
1171 |
+
"step": 5146
|
1172 |
+
},
|
1173 |
+
{
|
1174 |
+
"epoch": 0.22063116622983656,
|
1175 |
+
"grad_norm": 1.675826907157898,
|
1176 |
+
"learning_rate": 4.8068767229279885e-05,
|
1177 |
+
"loss": 1.7129,
|
1178 |
+
"step": 5177
|
1179 |
+
},
|
1180 |
+
{
|
1181 |
+
"epoch": 0.22195231093779966,
|
1182 |
+
"grad_norm": 1.7073479890823364,
|
1183 |
+
"learning_rate": 4.8036270519253854e-05,
|
1184 |
+
"loss": 1.7292,
|
1185 |
+
"step": 5208
|
1186 |
+
},
|
1187 |
+
{
|
1188 |
+
"epoch": 0.22327345564576276,
|
1189 |
+
"grad_norm": 1.67916738986969,
|
1190 |
+
"learning_rate": 4.8003513848046e-05,
|
1191 |
+
"loss": 1.7417,
|
1192 |
+
"step": 5239
|
1193 |
+
},
|
1194 |
+
{
|
1195 |
+
"epoch": 0.22459460035372583,
|
1196 |
+
"grad_norm": 1.751838207244873,
|
1197 |
+
"learning_rate": 4.79704975853109e-05,
|
1198 |
+
"loss": 1.7167,
|
1199 |
+
"step": 5270
|
1200 |
+
},
|
1201 |
+
{
|
1202 |
+
"epoch": 0.22591574506168893,
|
1203 |
+
"grad_norm": 1.7748228311538696,
|
1204 |
+
"learning_rate": 4.793722210363262e-05,
|
1205 |
+
"loss": 1.7175,
|
1206 |
+
"step": 5301
|
1207 |
+
},
|
1208 |
+
{
|
1209 |
+
"epoch": 0.22723688976965203,
|
1210 |
+
"grad_norm": 1.6792418956756592,
|
1211 |
+
"learning_rate": 4.7903687778520414e-05,
|
1212 |
+
"loss": 1.7537,
|
1213 |
+
"step": 5332
|
1214 |
+
},
|
1215 |
+
{
|
1216 |
+
"epoch": 0.2285580344776151,
|
1217 |
+
"grad_norm": 1.77089524269104,
|
1218 |
+
"learning_rate": 4.7869894988404593e-05,
|
1219 |
+
"loss": 1.7181,
|
1220 |
+
"step": 5363
|
1221 |
+
},
|
1222 |
+
{
|
1223 |
+
"epoch": 0.2298791791855782,
|
1224 |
+
"grad_norm": 1.795487642288208,
|
1225 |
+
"learning_rate": 4.783584411463221e-05,
|
1226 |
+
"loss": 1.7216,
|
1227 |
+
"step": 5394
|
1228 |
+
},
|
1229 |
+
{
|
1230 |
+
"epoch": 0.2312003238935413,
|
1231 |
+
"grad_norm": 1.8036439418792725,
|
1232 |
+
"learning_rate": 4.780153554146274e-05,
|
1233 |
+
"loss": 1.7172,
|
1234 |
+
"step": 5425
|
1235 |
+
},
|
1236 |
+
{
|
1237 |
+
"epoch": 0.2325214686015044,
|
1238 |
+
"grad_norm": 1.683451771736145,
|
1239 |
+
"learning_rate": 4.7766969656063766e-05,
|
1240 |
+
"loss": 1.7371,
|
1241 |
+
"step": 5456
|
1242 |
+
},
|
1243 |
+
{
|
1244 |
+
"epoch": 0.23384261330946748,
|
1245 |
+
"grad_norm": 1.7509490251541138,
|
1246 |
+
"learning_rate": 4.773214684850662e-05,
|
1247 |
+
"loss": 1.7245,
|
1248 |
+
"step": 5487
|
1249 |
+
},
|
1250 |
+
{
|
1251 |
+
"epoch": 0.23516375801743059,
|
1252 |
+
"grad_norm": 1.6572686433792114,
|
1253 |
+
"learning_rate": 4.769706751176193e-05,
|
1254 |
+
"loss": 1.7108,
|
1255 |
+
"step": 5518
|
1256 |
+
},
|
1257 |
+
{
|
1258 |
+
"epoch": 0.2364849027253937,
|
1259 |
+
"grad_norm": 1.7440228462219238,
|
1260 |
+
"learning_rate": 4.7661732041695264e-05,
|
1261 |
+
"loss": 1.7115,
|
1262 |
+
"step": 5549
|
1263 |
+
},
|
1264 |
+
{
|
1265 |
+
"epoch": 0.23780604743335676,
|
1266 |
+
"grad_norm": 1.613687515258789,
|
1267 |
+
"learning_rate": 4.762614083706258e-05,
|
1268 |
+
"loss": 1.7079,
|
1269 |
+
"step": 5580
|
1270 |
+
},
|
1271 |
+
{
|
1272 |
+
"epoch": 0.23912719214131986,
|
1273 |
+
"grad_norm": 1.4738078117370605,
|
1274 |
+
"learning_rate": 4.759029429950581e-05,
|
1275 |
+
"loss": 1.7097,
|
1276 |
+
"step": 5611
|
1277 |
+
},
|
1278 |
+
{
|
1279 |
+
"epoch": 0.24044833684928296,
|
1280 |
+
"grad_norm": 1.6921734809875488,
|
1281 |
+
"learning_rate": 4.7554192833548235e-05,
|
1282 |
+
"loss": 1.7187,
|
1283 |
+
"step": 5642
|
1284 |
+
},
|
1285 |
+
{
|
1286 |
+
"epoch": 0.24176948155724606,
|
1287 |
+
"grad_norm": 1.665814757347107,
|
1288 |
+
"learning_rate": 4.751783684659e-05,
|
1289 |
+
"loss": 1.7302,
|
1290 |
+
"step": 5673
|
1291 |
+
},
|
1292 |
+
{
|
1293 |
+
"epoch": 0.24309062626520914,
|
1294 |
+
"grad_norm": 1.5973016023635864,
|
1295 |
+
"learning_rate": 4.748122674890348e-05,
|
1296 |
+
"loss": 1.718,
|
1297 |
+
"step": 5704
|
1298 |
+
},
|
1299 |
+
{
|
1300 |
+
"epoch": 0.24441177097317224,
|
1301 |
+
"grad_norm": 1.6037402153015137,
|
1302 |
+
"learning_rate": 4.7444362953628654e-05,
|
1303 |
+
"loss": 1.7213,
|
1304 |
+
"step": 5735
|
1305 |
+
},
|
1306 |
+
{
|
1307 |
+
"epoch": 0.24573291568113534,
|
1308 |
+
"grad_norm": 1.6214978694915771,
|
1309 |
+
"learning_rate": 4.7407245876768424e-05,
|
1310 |
+
"loss": 1.7343,
|
1311 |
+
"step": 5766
|
1312 |
+
},
|
1313 |
+
{
|
1314 |
+
"epoch": 0.2470540603890984,
|
1315 |
+
"grad_norm": 1.758327603340149,
|
1316 |
+
"learning_rate": 4.736987593718397e-05,
|
1317 |
+
"loss": 1.6993,
|
1318 |
+
"step": 5797
|
1319 |
+
},
|
1320 |
+
{
|
1321 |
+
"epoch": 0.2483752050970615,
|
1322 |
+
"grad_norm": 1.7455657720565796,
|
1323 |
+
"learning_rate": 4.733225355658999e-05,
|
1324 |
+
"loss": 1.7147,
|
1325 |
+
"step": 5828
|
1326 |
+
},
|
1327 |
+
{
|
1328 |
+
"epoch": 0.24969634980502461,
|
1329 |
+
"grad_norm": 1.6355786323547363,
|
1330 |
+
"learning_rate": 4.7294379159549926e-05,
|
1331 |
+
"loss": 1.7284,
|
1332 |
+
"step": 5859
|
1333 |
+
},
|
1334 |
+
{
|
1335 |
+
"epoch": 0.2510174945129877,
|
1336 |
+
"grad_norm": 1.6421799659729004,
|
1337 |
+
"learning_rate": 4.725625317347119e-05,
|
1338 |
+
"loss": 1.6986,
|
1339 |
+
"step": 5890
|
1340 |
+
},
|
1341 |
+
{
|
1342 |
+
"epoch": 0.2523386392209508,
|
1343 |
+
"grad_norm": 1.6713591814041138,
|
1344 |
+
"learning_rate": 4.7217876028600374e-05,
|
1345 |
+
"loss": 1.7083,
|
1346 |
+
"step": 5921
|
1347 |
+
},
|
1348 |
+
{
|
1349 |
+
"epoch": 0.2536597839289139,
|
1350 |
+
"grad_norm": 1.7056536674499512,
|
1351 |
+
"learning_rate": 4.717924815801832e-05,
|
1352 |
+
"loss": 1.7339,
|
1353 |
+
"step": 5952
|
1354 |
+
},
|
1355 |
+
{
|
1356 |
+
"epoch": 0.254980928636877,
|
1357 |
+
"grad_norm": 1.6911596059799194,
|
1358 |
+
"learning_rate": 4.714036999763532e-05,
|
1359 |
+
"loss": 1.7068,
|
1360 |
+
"step": 5983
|
1361 |
+
},
|
1362 |
+
{
|
1363 |
+
"epoch": 0.25630207334484006,
|
1364 |
+
"grad_norm": 1.68338143825531,
|
1365 |
+
"learning_rate": 4.7101241986186116e-05,
|
1366 |
+
"loss": 1.7153,
|
1367 |
+
"step": 6014
|
1368 |
+
},
|
1369 |
+
{
|
1370 |
+
"epoch": 0.2576232180528032,
|
1371 |
+
"grad_norm": 1.6629693508148193,
|
1372 |
+
"learning_rate": 4.7061864565225e-05,
|
1373 |
+
"loss": 1.7178,
|
1374 |
+
"step": 6045
|
1375 |
+
},
|
1376 |
+
{
|
1377 |
+
"epoch": 0.25894436276076627,
|
1378 |
+
"grad_norm": 1.8833751678466797,
|
1379 |
+
"learning_rate": 4.702223817912081e-05,
|
1380 |
+
"loss": 1.6759,
|
1381 |
+
"step": 6076
|
1382 |
+
},
|
1383 |
+
{
|
1384 |
+
"epoch": 0.26026550746872934,
|
1385 |
+
"grad_norm": 1.8015220165252686,
|
1386 |
+
"learning_rate": 4.698236327505195e-05,
|
1387 |
+
"loss": 1.6893,
|
1388 |
+
"step": 6107
|
1389 |
+
},
|
1390 |
+
{
|
1391 |
+
"epoch": 0.26158665217669247,
|
1392 |
+
"grad_norm": 1.761045217514038,
|
1393 |
+
"learning_rate": 4.694224030300127e-05,
|
1394 |
+
"loss": 1.7015,
|
1395 |
+
"step": 6138
|
1396 |
+
},
|
1397 |
+
{
|
1398 |
+
"epoch": 0.26290779688465554,
|
1399 |
+
"grad_norm": 1.6620142459869385,
|
1400 |
+
"learning_rate": 4.690186971575107e-05,
|
1401 |
+
"loss": 1.6897,
|
1402 |
+
"step": 6169
|
1403 |
+
},
|
1404 |
+
{
|
1405 |
+
"epoch": 0.2642289415926186,
|
1406 |
+
"grad_norm": 1.6513328552246094,
|
1407 |
+
"learning_rate": 4.6861251968877916e-05,
|
1408 |
+
"loss": 1.6926,
|
1409 |
+
"step": 6200
|
1410 |
+
},
|
1411 |
+
{
|
1412 |
+
"epoch": 0.26555008630058174,
|
1413 |
+
"grad_norm": 1.6536865234375,
|
1414 |
+
"learning_rate": 4.68203875207476e-05,
|
1415 |
+
"loss": 1.7193,
|
1416 |
+
"step": 6231
|
1417 |
+
},
|
1418 |
+
{
|
1419 |
+
"epoch": 0.2668712310085448,
|
1420 |
+
"grad_norm": 1.5718939304351807,
|
1421 |
+
"learning_rate": 4.677927683250983e-05,
|
1422 |
+
"loss": 1.6821,
|
1423 |
+
"step": 6262
|
1424 |
+
},
|
1425 |
+
{
|
1426 |
+
"epoch": 0.2681923757165079,
|
1427 |
+
"grad_norm": 1.6237717866897583,
|
1428 |
+
"learning_rate": 4.6737920368093156e-05,
|
1429 |
+
"loss": 1.7116,
|
1430 |
+
"step": 6293
|
1431 |
+
},
|
1432 |
+
{
|
1433 |
+
"epoch": 0.269513520424471,
|
1434 |
+
"grad_norm": 1.6111472845077515,
|
1435 |
+
"learning_rate": 4.669631859419965e-05,
|
1436 |
+
"loss": 1.7101,
|
1437 |
+
"step": 6324
|
1438 |
+
},
|
1439 |
+
{
|
1440 |
+
"epoch": 0.2708346651324341,
|
1441 |
+
"grad_norm": 1.711414098739624,
|
1442 |
+
"learning_rate": 4.6654471980299676e-05,
|
1443 |
+
"loss": 1.7053,
|
1444 |
+
"step": 6355
|
1445 |
+
},
|
1446 |
+
{
|
1447 |
+
"epoch": 0.2721558098403972,
|
1448 |
+
"grad_norm": 1.5804500579833984,
|
1449 |
+
"learning_rate": 4.661238099862658e-05,
|
1450 |
+
"loss": 1.6867,
|
1451 |
+
"step": 6386
|
1452 |
+
},
|
1453 |
+
{
|
1454 |
+
"epoch": 0.2734769545483603,
|
1455 |
+
"grad_norm": 1.5932157039642334,
|
1456 |
+
"learning_rate": 4.657004612417138e-05,
|
1457 |
+
"loss": 1.7181,
|
1458 |
+
"step": 6417
|
1459 |
+
},
|
1460 |
+
{
|
1461 |
+
"epoch": 0.27479809925632337,
|
1462 |
+
"grad_norm": 1.5526095628738403,
|
1463 |
+
"learning_rate": 4.6527467834677374e-05,
|
1464 |
+
"loss": 1.7178,
|
1465 |
+
"step": 6448
|
1466 |
+
},
|
1467 |
+
{
|
1468 |
+
"epoch": 0.2761192439642865,
|
1469 |
+
"grad_norm": 1.5979021787643433,
|
1470 |
+
"learning_rate": 4.648464661063478e-05,
|
1471 |
+
"loss": 1.6885,
|
1472 |
+
"step": 6479
|
1473 |
+
},
|
1474 |
+
{
|
1475 |
+
"epoch": 0.27744038867224957,
|
1476 |
+
"grad_norm": 1.5154697895050049,
|
1477 |
+
"learning_rate": 4.6441582935275264e-05,
|
1478 |
+
"loss": 1.6798,
|
1479 |
+
"step": 6510
|
1480 |
+
},
|
1481 |
+
{
|
1482 |
+
"epoch": 0.27876153338021264,
|
1483 |
+
"grad_norm": 1.6004109382629395,
|
1484 |
+
"learning_rate": 4.6398277294566586e-05,
|
1485 |
+
"loss": 1.6877,
|
1486 |
+
"step": 6541
|
1487 |
+
},
|
1488 |
+
{
|
1489 |
+
"epoch": 0.2800826780881758,
|
1490 |
+
"grad_norm": 1.7409225702285767,
|
1491 |
+
"learning_rate": 4.6354730177207e-05,
|
1492 |
+
"loss": 1.6877,
|
1493 |
+
"step": 6572
|
1494 |
+
},
|
1495 |
+
{
|
1496 |
+
"epoch": 0.28140382279613885,
|
1497 |
+
"grad_norm": 1.5840095281600952,
|
1498 |
+
"learning_rate": 4.6310942074619787e-05,
|
1499 |
+
"loss": 1.6885,
|
1500 |
+
"step": 6603
|
1501 |
+
},
|
1502 |
+
{
|
1503 |
+
"epoch": 0.2827249675041019,
|
1504 |
+
"grad_norm": 1.7218347787857056,
|
1505 |
+
"learning_rate": 4.626691348094777e-05,
|
1506 |
+
"loss": 1.6993,
|
1507 |
+
"step": 6634
|
1508 |
+
},
|
1509 |
+
{
|
1510 |
+
"epoch": 0.28404611221206505,
|
1511 |
+
"grad_norm": 1.6517518758773804,
|
1512 |
+
"learning_rate": 4.622264489304762e-05,
|
1513 |
+
"loss": 1.7086,
|
1514 |
+
"step": 6665
|
1515 |
+
},
|
1516 |
+
{
|
1517 |
+
"epoch": 0.2853672569200281,
|
1518 |
+
"grad_norm": 1.6828736066818237,
|
1519 |
+
"learning_rate": 4.617813681048434e-05,
|
1520 |
+
"loss": 1.6895,
|
1521 |
+
"step": 6696
|
1522 |
+
},
|
1523 |
+
{
|
1524 |
+
"epoch": 0.2866884016279912,
|
1525 |
+
"grad_norm": 1.6049277782440186,
|
1526 |
+
"learning_rate": 4.61333897355256e-05,
|
1527 |
+
"loss": 1.6929,
|
1528 |
+
"step": 6727
|
1529 |
+
},
|
1530 |
+
{
|
1531 |
+
"epoch": 0.2880095463359543,
|
1532 |
+
"grad_norm": 1.6272588968276978,
|
1533 |
+
"learning_rate": 4.608840417313604e-05,
|
1534 |
+
"loss": 1.693,
|
1535 |
+
"step": 6758
|
1536 |
+
},
|
1537 |
+
{
|
1538 |
+
"epoch": 0.2893306910439174,
|
1539 |
+
"grad_norm": 1.6424005031585693,
|
1540 |
+
"learning_rate": 4.6043180630971646e-05,
|
1541 |
+
"loss": 1.6882,
|
1542 |
+
"step": 6789
|
1543 |
+
},
|
1544 |
+
{
|
1545 |
+
"epoch": 0.2906518357518805,
|
1546 |
+
"grad_norm": 1.5532363653182983,
|
1547 |
+
"learning_rate": 4.599771961937391e-05,
|
1548 |
+
"loss": 1.6846,
|
1549 |
+
"step": 6820
|
1550 |
+
},
|
1551 |
+
{
|
1552 |
+
"epoch": 0.2919729804598436,
|
1553 |
+
"grad_norm": 1.566545009613037,
|
1554 |
+
"learning_rate": 4.5952021651364204e-05,
|
1555 |
+
"loss": 1.6694,
|
1556 |
+
"step": 6851
|
1557 |
+
},
|
1558 |
+
{
|
1559 |
+
"epoch": 0.2932941251678067,
|
1560 |
+
"grad_norm": 1.592480182647705,
|
1561 |
+
"learning_rate": 4.590608724263786e-05,
|
1562 |
+
"loss": 1.6689,
|
1563 |
+
"step": 6882
|
1564 |
+
},
|
1565 |
+
{
|
1566 |
+
"epoch": 0.2946152698757698,
|
1567 |
+
"grad_norm": 1.6120296716690063,
|
1568 |
+
"learning_rate": 4.585991691155845e-05,
|
1569 |
+
"loss": 1.6654,
|
1570 |
+
"step": 6913
|
1571 |
+
},
|
1572 |
+
{
|
1573 |
+
"epoch": 0.2959364145837329,
|
1574 |
+
"grad_norm": 1.5690969228744507,
|
1575 |
+
"learning_rate": 4.581351117915188e-05,
|
1576 |
+
"loss": 1.6586,
|
1577 |
+
"step": 6944
|
1578 |
+
},
|
1579 |
+
{
|
1580 |
+
"epoch": 0.29725755929169595,
|
1581 |
+
"grad_norm": 1.5756118297576904,
|
1582 |
+
"learning_rate": 4.5766870569100534e-05,
|
1583 |
+
"loss": 1.6859,
|
1584 |
+
"step": 6975
|
1585 |
+
},
|
1586 |
+
{
|
1587 |
+
"epoch": 0.2985787039996591,
|
1588 |
+
"grad_norm": 1.5164366960525513,
|
1589 |
+
"learning_rate": 4.571999560773736e-05,
|
1590 |
+
"loss": 1.6844,
|
1591 |
+
"step": 7006
|
1592 |
+
},
|
1593 |
+
{
|
1594 |
+
"epoch": 0.29989984870762215,
|
1595 |
+
"grad_norm": 1.488936424255371,
|
1596 |
+
"learning_rate": 4.5672886824039915e-05,
|
1597 |
+
"loss": 1.6897,
|
1598 |
+
"step": 7037
|
1599 |
+
},
|
1600 |
+
{
|
1601 |
+
"epoch": 0.3012209934155852,
|
1602 |
+
"grad_norm": 1.6014569997787476,
|
1603 |
+
"learning_rate": 4.5625544749624435e-05,
|
1604 |
+
"loss": 1.6821,
|
1605 |
+
"step": 7068
|
1606 |
+
},
|
1607 |
+
{
|
1608 |
+
"epoch": 0.30254213812354835,
|
1609 |
+
"grad_norm": 1.5514070987701416,
|
1610 |
+
"learning_rate": 4.5577969918739794e-05,
|
1611 |
+
"loss": 1.7017,
|
1612 |
+
"step": 7099
|
1613 |
+
},
|
1614 |
+
{
|
1615 |
+
"epoch": 0.3038632828315114,
|
1616 |
+
"grad_norm": 1.5641967058181763,
|
1617 |
+
"learning_rate": 4.5530162868261486e-05,
|
1618 |
+
"loss": 1.6809,
|
1619 |
+
"step": 7130
|
1620 |
+
},
|
1621 |
+
{
|
1622 |
+
"epoch": 0.3051844275394745,
|
1623 |
+
"grad_norm": 1.5185332298278809,
|
1624 |
+
"learning_rate": 4.548212413768558e-05,
|
1625 |
+
"loss": 1.6719,
|
1626 |
+
"step": 7161
|
1627 |
+
},
|
1628 |
+
{
|
1629 |
+
"epoch": 0.30650557224743763,
|
1630 |
+
"grad_norm": 1.497670292854309,
|
1631 |
+
"learning_rate": 4.543385426912261e-05,
|
1632 |
+
"loss": 1.6873,
|
1633 |
+
"step": 7192
|
1634 |
+
},
|
1635 |
+
{
|
1636 |
+
"epoch": 0.3078267169554007,
|
1637 |
+
"grad_norm": 1.6817424297332764,
|
1638 |
+
"learning_rate": 4.53853538072915e-05,
|
1639 |
+
"loss": 1.668,
|
1640 |
+
"step": 7223
|
1641 |
+
},
|
1642 |
+
{
|
1643 |
+
"epoch": 0.30914786166336383,
|
1644 |
+
"grad_norm": 1.561675786972046,
|
1645 |
+
"learning_rate": 4.533662329951336e-05,
|
1646 |
+
"loss": 1.678,
|
1647 |
+
"step": 7254
|
1648 |
+
},
|
1649 |
+
{
|
1650 |
+
"epoch": 0.3104690063713269,
|
1651 |
+
"grad_norm": 1.7712374925613403,
|
1652 |
+
"learning_rate": 4.528766329570536e-05,
|
1653 |
+
"loss": 1.6817,
|
1654 |
+
"step": 7285
|
1655 |
+
},
|
1656 |
+
{
|
1657 |
+
"epoch": 0.31179015107929,
|
1658 |
+
"grad_norm": 1.530474066734314,
|
1659 |
+
"learning_rate": 4.523847434837447e-05,
|
1660 |
+
"loss": 1.671,
|
1661 |
+
"step": 7316
|
1662 |
+
},
|
1663 |
+
{
|
1664 |
+
"epoch": 0.3131112957872531,
|
1665 |
+
"grad_norm": 1.8106886148452759,
|
1666 |
+
"learning_rate": 4.518905701261128e-05,
|
1667 |
+
"loss": 1.6532,
|
1668 |
+
"step": 7347
|
1669 |
+
},
|
1670 |
+
{
|
1671 |
+
"epoch": 0.3144324404952162,
|
1672 |
+
"grad_norm": 1.5035251379013062,
|
1673 |
+
"learning_rate": 4.5139411846083715e-05,
|
1674 |
+
"loss": 1.6651,
|
1675 |
+
"step": 7378
|
1676 |
+
},
|
1677 |
+
{
|
1678 |
+
"epoch": 0.31575358520317925,
|
1679 |
+
"grad_norm": 1.6194860935211182,
|
1680 |
+
"learning_rate": 4.508953940903073e-05,
|
1681 |
+
"loss": 1.6664,
|
1682 |
+
"step": 7409
|
1683 |
+
},
|
1684 |
+
{
|
1685 |
+
"epoch": 0.3170747299111424,
|
1686 |
+
"grad_norm": 1.5217773914337158,
|
1687 |
+
"learning_rate": 4.5039440264255994e-05,
|
1688 |
+
"loss": 1.6697,
|
1689 |
+
"step": 7440
|
1690 |
+
},
|
1691 |
+
{
|
1692 |
+
"epoch": 0.31839587461910546,
|
1693 |
+
"grad_norm": 1.670386552810669,
|
1694 |
+
"learning_rate": 4.498911497712155e-05,
|
1695 |
+
"loss": 1.6637,
|
1696 |
+
"step": 7471
|
1697 |
+
},
|
1698 |
+
{
|
1699 |
+
"epoch": 0.31971701932706853,
|
1700 |
+
"grad_norm": 1.680743932723999,
|
1701 |
+
"learning_rate": 4.493856411554142e-05,
|
1702 |
+
"loss": 1.6822,
|
1703 |
+
"step": 7502
|
1704 |
+
},
|
1705 |
+
{
|
1706 |
+
"epoch": 0.32103816403503166,
|
1707 |
+
"grad_norm": 1.628322958946228,
|
1708 |
+
"learning_rate": 4.4887788249975206e-05,
|
1709 |
+
"loss": 1.6615,
|
1710 |
+
"step": 7533
|
1711 |
+
},
|
1712 |
+
{
|
1713 |
+
"epoch": 0.32235930874299473,
|
1714 |
+
"grad_norm": 1.5849953889846802,
|
1715 |
+
"learning_rate": 4.4836787953421656e-05,
|
1716 |
+
"loss": 1.6637,
|
1717 |
+
"step": 7564
|
1718 |
+
},
|
1719 |
+
{
|
1720 |
+
"epoch": 0.3236804534509578,
|
1721 |
+
"grad_norm": 1.5066392421722412,
|
1722 |
+
"learning_rate": 4.478556380141218e-05,
|
1723 |
+
"loss": 1.6839,
|
1724 |
+
"step": 7595
|
1725 |
+
},
|
1726 |
+
{
|
1727 |
+
"epoch": 0.32500159815892093,
|
1728 |
+
"grad_norm": 1.6168526411056519,
|
1729 |
+
"learning_rate": 4.4734116372004375e-05,
|
1730 |
+
"loss": 1.6543,
|
1731 |
+
"step": 7626
|
1732 |
+
},
|
1733 |
+
{
|
1734 |
+
"epoch": 0.326322742866884,
|
1735 |
+
"grad_norm": 1.5073281526565552,
|
1736 |
+
"learning_rate": 4.4682446245775477e-05,
|
1737 |
+
"loss": 1.6752,
|
1738 |
+
"step": 7657
|
1739 |
+
},
|
1740 |
+
{
|
1741 |
+
"epoch": 0.32764388757484714,
|
1742 |
+
"grad_norm": 1.5694515705108643,
|
1743 |
+
"learning_rate": 4.463055400581586e-05,
|
1744 |
+
"loss": 1.6646,
|
1745 |
+
"step": 7688
|
1746 |
+
},
|
1747 |
+
{
|
1748 |
+
"epoch": 0.3289650322828102,
|
1749 |
+
"grad_norm": 1.5031605958938599,
|
1750 |
+
"learning_rate": 4.4578440237722374e-05,
|
1751 |
+
"loss": 1.6807,
|
1752 |
+
"step": 7719
|
1753 |
+
},
|
1754 |
+
{
|
1755 |
+
"epoch": 0.3302861769907733,
|
1756 |
+
"grad_norm": 1.4886877536773682,
|
1757 |
+
"learning_rate": 4.452610552959183e-05,
|
1758 |
+
"loss": 1.6644,
|
1759 |
+
"step": 7750
|
1760 |
+
},
|
1761 |
+
{
|
1762 |
+
"epoch": 0.3316073216987364,
|
1763 |
+
"grad_norm": 1.5978937149047852,
|
1764 |
+
"learning_rate": 4.447355047201428e-05,
|
1765 |
+
"loss": 1.6573,
|
1766 |
+
"step": 7781
|
1767 |
+
},
|
1768 |
+
{
|
1769 |
+
"epoch": 0.3329284664066995,
|
1770 |
+
"grad_norm": 1.4938329458236694,
|
1771 |
+
"learning_rate": 4.4420775658066414e-05,
|
1772 |
+
"loss": 1.6489,
|
1773 |
+
"step": 7812
|
1774 |
+
},
|
1775 |
+
{
|
1776 |
+
"epoch": 0.33424961111466256,
|
1777 |
+
"grad_norm": 1.541128396987915,
|
1778 |
+
"learning_rate": 4.436778168330484e-05,
|
1779 |
+
"loss": 1.6673,
|
1780 |
+
"step": 7843
|
1781 |
+
},
|
1782 |
+
{
|
1783 |
+
"epoch": 0.3355707558226257,
|
1784 |
+
"grad_norm": 1.5185847282409668,
|
1785 |
+
"learning_rate": 4.4314569145759353e-05,
|
1786 |
+
"loss": 1.6631,
|
1787 |
+
"step": 7874
|
1788 |
+
},
|
1789 |
+
{
|
1790 |
+
"epoch": 0.33689190053058876,
|
1791 |
+
"grad_norm": 1.5545519590377808,
|
1792 |
+
"learning_rate": 4.42611386459262e-05,
|
1793 |
+
"loss": 1.6535,
|
1794 |
+
"step": 7905
|
1795 |
+
},
|
1796 |
+
{
|
1797 |
+
"epoch": 0.33821304523855183,
|
1798 |
+
"grad_norm": 1.5892200469970703,
|
1799 |
+
"learning_rate": 4.420749078676133e-05,
|
1800 |
+
"loss": 1.6574,
|
1801 |
+
"step": 7936
|
1802 |
+
},
|
1803 |
+
{
|
1804 |
+
"epoch": 0.33953418994651496,
|
1805 |
+
"grad_norm": 1.5779627561569214,
|
1806 |
+
"learning_rate": 4.4153626173673516e-05,
|
1807 |
+
"loss": 1.6683,
|
1808 |
+
"step": 7967
|
1809 |
+
},
|
1810 |
+
{
|
1811 |
+
"epoch": 0.34085533465447804,
|
1812 |
+
"grad_norm": 1.5521479845046997,
|
1813 |
+
"learning_rate": 4.409954541451762e-05,
|
1814 |
+
"loss": 1.6599,
|
1815 |
+
"step": 7998
|
1816 |
+
},
|
1817 |
+
{
|
1818 |
+
"epoch": 0.3421764793624411,
|
1819 |
+
"grad_norm": 1.4845163822174072,
|
1820 |
+
"learning_rate": 4.404524911958764e-05,
|
1821 |
+
"loss": 1.6357,
|
1822 |
+
"step": 8029
|
1823 |
+
},
|
1824 |
+
{
|
1825 |
+
"epoch": 0.34349762407040424,
|
1826 |
+
"grad_norm": 1.4665591716766357,
|
1827 |
+
"learning_rate": 4.399073790160989e-05,
|
1828 |
+
"loss": 1.6577,
|
1829 |
+
"step": 8060
|
1830 |
+
},
|
1831 |
+
{
|
1832 |
+
"epoch": 0.3448187687783673,
|
1833 |
+
"grad_norm": 1.4990118741989136,
|
1834 |
+
"learning_rate": 4.393601237573607e-05,
|
1835 |
+
"loss": 1.6589,
|
1836 |
+
"step": 8091
|
1837 |
+
},
|
1838 |
+
{
|
1839 |
+
"epoch": 0.34613991348633044,
|
1840 |
+
"grad_norm": 1.6129504442214966,
|
1841 |
+
"learning_rate": 4.388107315953628e-05,
|
1842 |
+
"loss": 1.6719,
|
1843 |
+
"step": 8122
|
1844 |
+
},
|
1845 |
+
{
|
1846 |
+
"epoch": 0.3474610581942935,
|
1847 |
+
"grad_norm": 1.5837408304214478,
|
1848 |
+
"learning_rate": 4.382592087299212e-05,
|
1849 |
+
"loss": 1.6389,
|
1850 |
+
"step": 8153
|
1851 |
+
},
|
1852 |
+
{
|
1853 |
+
"epoch": 0.3487822029022566,
|
1854 |
+
"grad_norm": 1.4611998796463013,
|
1855 |
+
"learning_rate": 4.377055613848964e-05,
|
1856 |
+
"loss": 1.6568,
|
1857 |
+
"step": 8184
|
1858 |
+
},
|
1859 |
+
{
|
1860 |
+
"epoch": 0.3501033476102197,
|
1861 |
+
"grad_norm": 1.5456607341766357,
|
1862 |
+
"learning_rate": 4.3714979580812355e-05,
|
1863 |
+
"loss": 1.6442,
|
1864 |
+
"step": 8215
|
1865 |
+
},
|
1866 |
+
{
|
1867 |
+
"epoch": 0.3514244923181828,
|
1868 |
+
"grad_norm": 1.5393562316894531,
|
1869 |
+
"learning_rate": 4.365919182713416e-05,
|
1870 |
+
"loss": 1.6505,
|
1871 |
+
"step": 8246
|
1872 |
+
},
|
1873 |
+
{
|
1874 |
+
"epoch": 0.35274563702614586,
|
1875 |
+
"grad_norm": 1.5040944814682007,
|
1876 |
+
"learning_rate": 4.360319350701226e-05,
|
1877 |
+
"loss": 1.6701,
|
1878 |
+
"step": 8277
|
1879 |
+
},
|
1880 |
+
{
|
1881 |
+
"epoch": 0.354066781734109,
|
1882 |
+
"grad_norm": 1.5542012453079224,
|
1883 |
+
"learning_rate": 4.3546985252380115e-05,
|
1884 |
+
"loss": 1.6431,
|
1885 |
+
"step": 8308
|
1886 |
+
},
|
1887 |
+
{
|
1888 |
+
"epoch": 0.35538792644207207,
|
1889 |
+
"grad_norm": 1.4878984689712524,
|
1890 |
+
"learning_rate": 4.349056769754021e-05,
|
1891 |
+
"loss": 1.6543,
|
1892 |
+
"step": 8339
|
1893 |
+
},
|
1894 |
+
{
|
1895 |
+
"epoch": 0.35670907115003514,
|
1896 |
+
"grad_norm": 1.6049541234970093,
|
1897 |
+
"learning_rate": 4.3433941479156994e-05,
|
1898 |
+
"loss": 1.6415,
|
1899 |
+
"step": 8370
|
1900 |
+
},
|
1901 |
+
{
|
1902 |
+
"epoch": 0.35803021585799827,
|
1903 |
+
"grad_norm": 1.6094954013824463,
|
1904 |
+
"learning_rate": 4.3377107236249647e-05,
|
1905 |
+
"loss": 1.646,
|
1906 |
+
"step": 8401
|
1907 |
+
},
|
1908 |
+
{
|
1909 |
+
"epoch": 0.35935136056596134,
|
1910 |
+
"grad_norm": 1.5165326595306396,
|
1911 |
+
"learning_rate": 4.332006561018488e-05,
|
1912 |
+
"loss": 1.6575,
|
1913 |
+
"step": 8432
|
1914 |
+
},
|
1915 |
+
{
|
1916 |
+
"epoch": 0.3606725052739244,
|
1917 |
+
"grad_norm": 1.5776197910308838,
|
1918 |
+
"learning_rate": 4.3262817244669683e-05,
|
1919 |
+
"loss": 1.6556,
|
1920 |
+
"step": 8463
|
1921 |
+
},
|
1922 |
+
{
|
1923 |
+
"epoch": 0.36199364998188754,
|
1924 |
+
"grad_norm": 1.4522629976272583,
|
1925 |
+
"learning_rate": 4.3205362785744083e-05,
|
1926 |
+
"loss": 1.6583,
|
1927 |
+
"step": 8494
|
1928 |
+
},
|
1929 |
+
{
|
1930 |
+
"epoch": 0.3633147946898506,
|
1931 |
+
"grad_norm": 1.4910801649093628,
|
1932 |
+
"learning_rate": 4.314770288177384e-05,
|
1933 |
+
"loss": 1.638,
|
1934 |
+
"step": 8525
|
1935 |
+
},
|
1936 |
+
{
|
1937 |
+
"epoch": 0.3646359393978137,
|
1938 |
+
"grad_norm": 1.6230814456939697,
|
1939 |
+
"learning_rate": 4.308983818344313e-05,
|
1940 |
+
"loss": 1.6644,
|
1941 |
+
"step": 8556
|
1942 |
+
},
|
1943 |
+
{
|
1944 |
+
"epoch": 0.3659570841057768,
|
1945 |
+
"grad_norm": 1.6548675298690796,
|
1946 |
+
"learning_rate": 4.3031769343747206e-05,
|
1947 |
+
"loss": 1.639,
|
1948 |
+
"step": 8587
|
1949 |
+
},
|
1950 |
+
{
|
1951 |
+
"epoch": 0.3672782288137399,
|
1952 |
+
"grad_norm": 1.5451959371566772,
|
1953 |
+
"learning_rate": 4.297349701798505e-05,
|
1954 |
+
"loss": 1.6452,
|
1955 |
+
"step": 8618
|
1956 |
+
},
|
1957 |
+
{
|
1958 |
+
"epoch": 0.368599373521703,
|
1959 |
+
"grad_norm": 1.46851646900177,
|
1960 |
+
"learning_rate": 4.2915021863751916e-05,
|
1961 |
+
"loss": 1.6645,
|
1962 |
+
"step": 8649
|
1963 |
+
},
|
1964 |
+
{
|
1965 |
+
"epoch": 0.3699205182296661,
|
1966 |
+
"grad_norm": 1.4022047519683838,
|
1967 |
+
"learning_rate": 4.285634454093198e-05,
|
1968 |
+
"loss": 1.6556,
|
1969 |
+
"step": 8680
|
1970 |
+
},
|
1971 |
+
{
|
1972 |
+
"epoch": 0.37124166293762917,
|
1973 |
+
"grad_norm": 1.4209098815917969,
|
1974 |
+
"learning_rate": 4.279746571169086e-05,
|
1975 |
+
"loss": 1.6699,
|
1976 |
+
"step": 8711
|
1977 |
+
},
|
1978 |
+
{
|
1979 |
+
"epoch": 0.3725628076455923,
|
1980 |
+
"grad_norm": 1.4034055471420288,
|
1981 |
+
"learning_rate": 4.2738386040468136e-05,
|
1982 |
+
"loss": 1.6491,
|
1983 |
+
"step": 8742
|
1984 |
+
},
|
1985 |
+
{
|
1986 |
+
"epoch": 0.37388395235355537,
|
1987 |
+
"grad_norm": 1.4482676982879639,
|
1988 |
+
"learning_rate": 4.2679106193969866e-05,
|
1989 |
+
"loss": 1.6299,
|
1990 |
+
"step": 8773
|
1991 |
+
},
|
1992 |
+
{
|
1993 |
+
"epoch": 0.37520509706151844,
|
1994 |
+
"grad_norm": 1.542325496673584,
|
1995 |
+
"learning_rate": 4.261962684116106e-05,
|
1996 |
+
"loss": 1.6666,
|
1997 |
+
"step": 8804
|
1998 |
+
},
|
1999 |
+
{
|
2000 |
+
"epoch": 0.3765262417694816,
|
2001 |
+
"grad_norm": 1.4821662902832031,
|
2002 |
+
"learning_rate": 4.2559948653258145e-05,
|
2003 |
+
"loss": 1.6383,
|
2004 |
+
"step": 8835
|
2005 |
+
},
|
2006 |
+
{
|
2007 |
+
"epoch": 0.37784738647744465,
|
2008 |
+
"grad_norm": 1.445188283920288,
|
2009 |
+
"learning_rate": 4.250007230372134e-05,
|
2010 |
+
"loss": 1.6287,
|
2011 |
+
"step": 8866
|
2012 |
+
},
|
2013 |
+
{
|
2014 |
+
"epoch": 0.3791685311854077,
|
2015 |
+
"grad_norm": 1.5624685287475586,
|
2016 |
+
"learning_rate": 4.2439998468247126e-05,
|
2017 |
+
"loss": 1.6337,
|
2018 |
+
"step": 8897
|
2019 |
+
},
|
2020 |
+
{
|
2021 |
+
"epoch": 0.38048967589337085,
|
2022 |
+
"grad_norm": 1.7001335620880127,
|
2023 |
+
"learning_rate": 4.2379727824760566e-05,
|
2024 |
+
"loss": 1.6352,
|
2025 |
+
"step": 8928
|
2026 |
+
},
|
2027 |
+
{
|
2028 |
+
"epoch": 0.3818108206013339,
|
2029 |
+
"grad_norm": 1.5825940370559692,
|
2030 |
+
"learning_rate": 4.231926105340768e-05,
|
2031 |
+
"loss": 1.6336,
|
2032 |
+
"step": 8959
|
2033 |
+
},
|
2034 |
+
{
|
2035 |
+
"epoch": 0.383131965309297,
|
2036 |
+
"grad_norm": 1.4825541973114014,
|
2037 |
+
"learning_rate": 4.225859883654776e-05,
|
2038 |
+
"loss": 1.6359,
|
2039 |
+
"step": 8990
|
2040 |
+
},
|
2041 |
+
{
|
2042 |
+
"epoch": 0.3844531100172601,
|
2043 |
+
"grad_norm": 1.4914085865020752,
|
2044 |
+
"learning_rate": 4.219774185874569e-05,
|
2045 |
+
"loss": 1.6623,
|
2046 |
+
"step": 9021
|
2047 |
+
},
|
2048 |
+
{
|
2049 |
+
"epoch": 0.3857742547252232,
|
2050 |
+
"grad_norm": 1.491519570350647,
|
2051 |
+
"learning_rate": 4.213669080676418e-05,
|
2052 |
+
"loss": 1.6543,
|
2053 |
+
"step": 9052
|
2054 |
+
},
|
2055 |
+
{
|
2056 |
+
"epoch": 0.3870953994331863,
|
2057 |
+
"grad_norm": 1.5370805263519287,
|
2058 |
+
"learning_rate": 4.2075446369556056e-05,
|
2059 |
+
"loss": 1.6325,
|
2060 |
+
"step": 9083
|
2061 |
+
},
|
2062 |
+
{
|
2063 |
+
"epoch": 0.3884165441411494,
|
2064 |
+
"grad_norm": 1.423508644104004,
|
2065 |
+
"learning_rate": 4.201400923825648e-05,
|
2066 |
+
"loss": 1.6547,
|
2067 |
+
"step": 9114
|
2068 |
+
},
|
2069 |
+
{
|
2070 |
+
"epoch": 0.3897376888491125,
|
2071 |
+
"grad_norm": 1.4396551847457886,
|
2072 |
+
"learning_rate": 4.195238010617511e-05,
|
2073 |
+
"loss": 1.6308,
|
2074 |
+
"step": 9145
|
2075 |
+
},
|
2076 |
+
{
|
2077 |
+
"epoch": 0.3910588335570756,
|
2078 |
+
"grad_norm": 1.466518521308899,
|
2079 |
+
"learning_rate": 4.1890559668788344e-05,
|
2080 |
+
"loss": 1.6321,
|
2081 |
+
"step": 9176
|
2082 |
+
},
|
2083 |
+
{
|
2084 |
+
"epoch": 0.3923799782650387,
|
2085 |
+
"grad_norm": 1.5302077531814575,
|
2086 |
+
"learning_rate": 4.1828548623731405e-05,
|
2087 |
+
"loss": 1.6455,
|
2088 |
+
"step": 9207
|
2089 |
+
},
|
2090 |
+
{
|
2091 |
+
"epoch": 0.39370112297300175,
|
2092 |
+
"grad_norm": 1.5934138298034668,
|
2093 |
+
"learning_rate": 4.1766347670790506e-05,
|
2094 |
+
"loss": 1.6526,
|
2095 |
+
"step": 9238
|
2096 |
+
},
|
2097 |
+
{
|
2098 |
+
"epoch": 0.3950222676809649,
|
2099 |
+
"grad_norm": 1.5880807638168335,
|
2100 |
+
"learning_rate": 4.170395751189495e-05,
|
2101 |
+
"loss": 1.6476,
|
2102 |
+
"step": 9269
|
2103 |
+
},
|
2104 |
+
{
|
2105 |
+
"epoch": 0.39634341238892795,
|
2106 |
+
"grad_norm": 1.4420969486236572,
|
2107 |
+
"learning_rate": 4.164137885110921e-05,
|
2108 |
+
"loss": 1.6265,
|
2109 |
+
"step": 9300
|
2110 |
+
},
|
2111 |
+
{
|
2112 |
+
"epoch": 0.397664557096891,
|
2113 |
+
"grad_norm": 1.489991307258606,
|
2114 |
+
"learning_rate": 4.157861239462495e-05,
|
2115 |
+
"loss": 1.647,
|
2116 |
+
"step": 9331
|
2117 |
+
},
|
2118 |
+
{
|
2119 |
+
"epoch": 0.39898570180485415,
|
2120 |
+
"grad_norm": 1.5055150985717773,
|
2121 |
+
"learning_rate": 4.1515658850753114e-05,
|
2122 |
+
"loss": 1.6323,
|
2123 |
+
"step": 9362
|
2124 |
+
},
|
2125 |
+
{
|
2126 |
+
"epoch": 0.4003068465128172,
|
2127 |
+
"grad_norm": 1.4316349029541016,
|
2128 |
+
"learning_rate": 4.145251892991588e-05,
|
2129 |
+
"loss": 1.6329,
|
2130 |
+
"step": 9393
|
2131 |
+
},
|
2132 |
+
{
|
2133 |
+
"epoch": 0.4016279912207803,
|
2134 |
+
"grad_norm": 1.4182207584381104,
|
2135 |
+
"learning_rate": 4.138919334463868e-05,
|
2136 |
+
"loss": 1.6479,
|
2137 |
+
"step": 9424
|
2138 |
+
},
|
2139 |
+
{
|
2140 |
+
"epoch": 0.40294913592874343,
|
2141 |
+
"grad_norm": 1.5128748416900635,
|
2142 |
+
"learning_rate": 4.1325682809542124e-05,
|
2143 |
+
"loss": 1.6419,
|
2144 |
+
"step": 9455
|
2145 |
+
},
|
2146 |
+
{
|
2147 |
+
"epoch": 0.4042702806367065,
|
2148 |
+
"grad_norm": 1.4093265533447266,
|
2149 |
+
"learning_rate": 4.126198804133398e-05,
|
2150 |
+
"loss": 1.6128,
|
2151 |
+
"step": 9486
|
2152 |
+
},
|
2153 |
+
{
|
2154 |
+
"epoch": 0.40559142534466963,
|
2155 |
+
"grad_norm": 1.4173692464828491,
|
2156 |
+
"learning_rate": 4.1198109758801055e-05,
|
2157 |
+
"loss": 1.6437,
|
2158 |
+
"step": 9517
|
2159 |
+
},
|
2160 |
+
{
|
2161 |
+
"epoch": 0.4069125700526327,
|
2162 |
+
"grad_norm": 1.6048704385757446,
|
2163 |
+
"learning_rate": 4.113404868280107e-05,
|
2164 |
+
"loss": 1.6203,
|
2165 |
+
"step": 9548
|
2166 |
+
},
|
2167 |
+
{
|
2168 |
+
"epoch": 0.4082337147605958,
|
2169 |
+
"grad_norm": 1.495764970779419,
|
2170 |
+
"learning_rate": 4.106980553625457e-05,
|
2171 |
+
"loss": 1.6294,
|
2172 |
+
"step": 9579
|
2173 |
+
},
|
2174 |
+
{
|
2175 |
+
"epoch": 0.4095548594685589,
|
2176 |
+
"grad_norm": 1.530218482017517,
|
2177 |
+
"learning_rate": 4.100538104413674e-05,
|
2178 |
+
"loss": 1.6377,
|
2179 |
+
"step": 9610
|
2180 |
+
},
|
2181 |
+
{
|
2182 |
+
"epoch": 0.410876004176522,
|
2183 |
+
"grad_norm": 1.5626767873764038,
|
2184 |
+
"learning_rate": 4.09407759334692e-05,
|
2185 |
+
"loss": 1.6293,
|
2186 |
+
"step": 9641
|
2187 |
+
},
|
2188 |
+
{
|
2189 |
+
"epoch": 0.41219714888448505,
|
2190 |
+
"grad_norm": 1.3259074687957764,
|
2191 |
+
"learning_rate": 4.087599093331186e-05,
|
2192 |
+
"loss": 1.6209,
|
2193 |
+
"step": 9672
|
2194 |
+
},
|
2195 |
+
{
|
2196 |
+
"epoch": 0.4135182935924482,
|
2197 |
+
"grad_norm": 1.4668447971343994,
|
2198 |
+
"learning_rate": 4.081102677475462e-05,
|
2199 |
+
"loss": 1.607,
|
2200 |
+
"step": 9703
|
2201 |
+
},
|
2202 |
+
{
|
2203 |
+
"epoch": 0.41483943830041126,
|
2204 |
+
"grad_norm": 1.6264866590499878,
|
2205 |
+
"learning_rate": 4.0745884190909194e-05,
|
2206 |
+
"loss": 1.647,
|
2207 |
+
"step": 9734
|
2208 |
+
},
|
2209 |
+
{
|
2210 |
+
"epoch": 0.41616058300837433,
|
2211 |
+
"grad_norm": 1.4699751138687134,
|
2212 |
+
"learning_rate": 4.0680563916900796e-05,
|
2213 |
+
"loss": 1.6433,
|
2214 |
+
"step": 9765
|
2215 |
+
},
|
2216 |
+
{
|
2217 |
+
"epoch": 0.41748172771633746,
|
2218 |
+
"grad_norm": 1.5570849180221558,
|
2219 |
+
"learning_rate": 4.0615066689859815e-05,
|
2220 |
+
"loss": 1.6278,
|
2221 |
+
"step": 9796
|
2222 |
+
},
|
2223 |
+
{
|
2224 |
+
"epoch": 0.41880287242430053,
|
2225 |
+
"grad_norm": 1.5093053579330444,
|
2226 |
+
"learning_rate": 4.0549393248913584e-05,
|
2227 |
+
"loss": 1.625,
|
2228 |
+
"step": 9827
|
2229 |
+
},
|
2230 |
+
{
|
2231 |
+
"epoch": 0.4201240171322636,
|
2232 |
+
"grad_norm": 1.4233616590499878,
|
2233 |
+
"learning_rate": 4.048354433517794e-05,
|
2234 |
+
"loss": 1.6254,
|
2235 |
+
"step": 9858
|
2236 |
+
},
|
2237 |
+
{
|
2238 |
+
"epoch": 0.42144516184022673,
|
2239 |
+
"grad_norm": 1.41616952419281,
|
2240 |
+
"learning_rate": 4.0417520691748916e-05,
|
2241 |
+
"loss": 1.6339,
|
2242 |
+
"step": 9889
|
2243 |
+
},
|
2244 |
+
{
|
2245 |
+
"epoch": 0.4227663065481898,
|
2246 |
+
"grad_norm": 1.5434125661849976,
|
2247 |
+
"learning_rate": 4.035132306369438e-05,
|
2248 |
+
"loss": 1.6379,
|
2249 |
+
"step": 9920
|
2250 |
+
},
|
2251 |
+
{
|
2252 |
+
"epoch": 0.42408745125615294,
|
2253 |
+
"grad_norm": 1.4518119096755981,
|
2254 |
+
"learning_rate": 4.028495219804555e-05,
|
2255 |
+
"loss": 1.6384,
|
2256 |
+
"step": 9951
|
2257 |
+
},
|
2258 |
+
{
|
2259 |
+
"epoch": 0.425408595964116,
|
2260 |
+
"grad_norm": 1.4989590644836426,
|
2261 |
+
"learning_rate": 4.021840884378864e-05,
|
2262 |
+
"loss": 1.615,
|
2263 |
+
"step": 9982
|
2264 |
+
},
|
2265 |
+
{
|
2266 |
+
"epoch": 0.4267297406720791,
|
2267 |
+
"grad_norm": 1.4292545318603516,
|
2268 |
+
"learning_rate": 4.015169375185633e-05,
|
2269 |
+
"loss": 1.6381,
|
2270 |
+
"step": 10013
|
2271 |
+
},
|
2272 |
+
{
|
2273 |
+
"epoch": 0.4280508853800422,
|
2274 |
+
"grad_norm": 1.4783132076263428,
|
2275 |
+
"learning_rate": 4.0084807675119396e-05,
|
2276 |
+
"loss": 1.634,
|
2277 |
+
"step": 10044
|
2278 |
+
},
|
2279 |
+
{
|
2280 |
+
"epoch": 0.4293720300880053,
|
2281 |
+
"grad_norm": 1.4413528442382812,
|
2282 |
+
"learning_rate": 4.0017751368378106e-05,
|
2283 |
+
"loss": 1.6356,
|
2284 |
+
"step": 10075
|
2285 |
+
},
|
2286 |
+
{
|
2287 |
+
"epoch": 0.43069317479596836,
|
2288 |
+
"grad_norm": 1.4603348970413208,
|
2289 |
+
"learning_rate": 3.995052558835377e-05,
|
2290 |
+
"loss": 1.6248,
|
2291 |
+
"step": 10106
|
2292 |
+
},
|
2293 |
+
{
|
2294 |
+
"epoch": 0.4320143195039315,
|
2295 |
+
"grad_norm": 1.5041816234588623,
|
2296 |
+
"learning_rate": 3.988313109368017e-05,
|
2297 |
+
"loss": 1.6352,
|
2298 |
+
"step": 10137
|
2299 |
+
},
|
2300 |
+
{
|
2301 |
+
"epoch": 0.43333546421189456,
|
2302 |
+
"grad_norm": 1.483124852180481,
|
2303 |
+
"learning_rate": 3.981556864489504e-05,
|
2304 |
+
"loss": 1.6129,
|
2305 |
+
"step": 10168
|
2306 |
+
},
|
2307 |
+
{
|
2308 |
+
"epoch": 0.43465660891985763,
|
2309 |
+
"grad_norm": 1.4493173360824585,
|
2310 |
+
"learning_rate": 3.974783900443142e-05,
|
2311 |
+
"loss": 1.624,
|
2312 |
+
"step": 10199
|
2313 |
+
},
|
2314 |
+
{
|
2315 |
+
"epoch": 0.43597775362782076,
|
2316 |
+
"grad_norm": 1.553686499595642,
|
2317 |
+
"learning_rate": 3.9679942936609095e-05,
|
2318 |
+
"loss": 1.6099,
|
2319 |
+
"step": 10230
|
2320 |
+
},
|
2321 |
+
{
|
2322 |
+
"epoch": 0.43729889833578384,
|
2323 |
+
"grad_norm": 1.4004040956497192,
|
2324 |
+
"learning_rate": 3.961188120762596e-05,
|
2325 |
+
"loss": 1.6152,
|
2326 |
+
"step": 10261
|
2327 |
+
},
|
2328 |
+
{
|
2329 |
+
"epoch": 0.4386200430437469,
|
2330 |
+
"grad_norm": 1.4119765758514404,
|
2331 |
+
"learning_rate": 3.954365458554938e-05,
|
2332 |
+
"loss": 1.6161,
|
2333 |
+
"step": 10292
|
2334 |
+
},
|
2335 |
+
{
|
2336 |
+
"epoch": 0.43994118775171004,
|
2337 |
+
"grad_norm": 1.4605529308319092,
|
2338 |
+
"learning_rate": 3.947526384030751e-05,
|
2339 |
+
"loss": 1.6234,
|
2340 |
+
"step": 10323
|
2341 |
+
},
|
2342 |
+
{
|
2343 |
+
"epoch": 0.4412623324596731,
|
2344 |
+
"grad_norm": 1.5051487684249878,
|
2345 |
+
"learning_rate": 3.9406709743680624e-05,
|
2346 |
+
"loss": 1.6126,
|
2347 |
+
"step": 10354
|
2348 |
+
},
|
2349 |
+
{
|
2350 |
+
"epoch": 0.44258347716763624,
|
2351 |
+
"grad_norm": 1.431213617324829,
|
2352 |
+
"learning_rate": 3.9337993069292366e-05,
|
2353 |
+
"loss": 1.6304,
|
2354 |
+
"step": 10385
|
2355 |
+
},
|
2356 |
+
{
|
2357 |
+
"epoch": 0.4439046218755993,
|
2358 |
+
"grad_norm": 1.3373912572860718,
|
2359 |
+
"learning_rate": 3.926911459260109e-05,
|
2360 |
+
"loss": 1.6243,
|
2361 |
+
"step": 10416
|
2362 |
+
},
|
2363 |
+
{
|
2364 |
+
"epoch": 0.4452257665835624,
|
2365 |
+
"grad_norm": 1.4510406255722046,
|
2366 |
+
"learning_rate": 3.920007509089102e-05,
|
2367 |
+
"loss": 1.6163,
|
2368 |
+
"step": 10447
|
2369 |
+
},
|
2370 |
+
{
|
2371 |
+
"epoch": 0.4465469112915255,
|
2372 |
+
"grad_norm": 1.465527057647705,
|
2373 |
+
"learning_rate": 3.913087534326357e-05,
|
2374 |
+
"loss": 1.6092,
|
2375 |
+
"step": 10478
|
2376 |
+
},
|
2377 |
+
{
|
2378 |
+
"epoch": 0.4478680559994886,
|
2379 |
+
"grad_norm": 1.4679442644119263,
|
2380 |
+
"learning_rate": 3.9061516130628475e-05,
|
2381 |
+
"loss": 1.617,
|
2382 |
+
"step": 10509
|
2383 |
+
},
|
2384 |
+
{
|
2385 |
+
"epoch": 0.44918920070745166,
|
2386 |
+
"grad_norm": 1.5881776809692383,
|
2387 |
+
"learning_rate": 3.8991998235695025e-05,
|
2388 |
+
"loss": 1.615,
|
2389 |
+
"step": 10540
|
2390 |
+
},
|
2391 |
+
{
|
2392 |
+
"epoch": 0.4505103454154148,
|
2393 |
+
"grad_norm": 1.4944725036621094,
|
2394 |
+
"learning_rate": 3.8922322442963224e-05,
|
2395 |
+
"loss": 1.6299,
|
2396 |
+
"step": 10571
|
2397 |
+
},
|
2398 |
+
{
|
2399 |
+
"epoch": 0.45183149012337787,
|
2400 |
+
"grad_norm": 1.499192714691162,
|
2401 |
+
"learning_rate": 3.885248953871491e-05,
|
2402 |
+
"loss": 1.6173,
|
2403 |
+
"step": 10602
|
2404 |
+
},
|
2405 |
+
{
|
2406 |
+
"epoch": 0.45315263483134094,
|
2407 |
+
"grad_norm": 1.409706473350525,
|
2408 |
+
"learning_rate": 3.8782500311004915e-05,
|
2409 |
+
"loss": 1.6083,
|
2410 |
+
"step": 10633
|
2411 |
+
},
|
2412 |
+
{
|
2413 |
+
"epoch": 0.45447377953930407,
|
2414 |
+
"grad_norm": 1.3845860958099365,
|
2415 |
+
"learning_rate": 3.871235554965218e-05,
|
2416 |
+
"loss": 1.6104,
|
2417 |
+
"step": 10664
|
2418 |
+
},
|
2419 |
+
{
|
2420 |
+
"epoch": 0.45579492424726714,
|
2421 |
+
"grad_norm": 1.4976452589035034,
|
2422 |
+
"learning_rate": 3.864205604623078e-05,
|
2423 |
+
"loss": 1.6123,
|
2424 |
+
"step": 10695
|
2425 |
+
},
|
2426 |
+
{
|
2427 |
+
"epoch": 0.4571160689552302,
|
2428 |
+
"grad_norm": 1.496371865272522,
|
2429 |
+
"learning_rate": 3.857160259406107e-05,
|
2430 |
+
"loss": 1.594,
|
2431 |
+
"step": 10726
|
2432 |
+
},
|
2433 |
+
{
|
2434 |
+
"epoch": 0.45843721366319334,
|
2435 |
+
"grad_norm": 1.364917516708374,
|
2436 |
+
"learning_rate": 3.8500995988200674e-05,
|
2437 |
+
"loss": 1.602,
|
2438 |
+
"step": 10757
|
2439 |
+
},
|
2440 |
+
{
|
2441 |
+
"epoch": 0.4597583583711564,
|
2442 |
+
"grad_norm": 1.461065411567688,
|
2443 |
+
"learning_rate": 3.843023702543556e-05,
|
2444 |
+
"loss": 1.5936,
|
2445 |
+
"step": 10788
|
2446 |
+
},
|
2447 |
+
{
|
2448 |
+
"epoch": 0.46107950307911955,
|
2449 |
+
"grad_norm": 1.422227382659912,
|
2450 |
+
"learning_rate": 3.8359326504270984e-05,
|
2451 |
+
"loss": 1.6275,
|
2452 |
+
"step": 10819
|
2453 |
+
},
|
2454 |
+
{
|
2455 |
+
"epoch": 0.4624006477870826,
|
2456 |
+
"grad_norm": 1.3532990217208862,
|
2457 |
+
"learning_rate": 3.828826522492255e-05,
|
2458 |
+
"loss": 1.5982,
|
2459 |
+
"step": 10850
|
2460 |
+
},
|
2461 |
+
{
|
2462 |
+
"epoch": 0.4637217924950457,
|
2463 |
+
"grad_norm": 1.6219929456710815,
|
2464 |
+
"learning_rate": 3.821705398930713e-05,
|
2465 |
+
"loss": 1.6225,
|
2466 |
+
"step": 10881
|
2467 |
+
},
|
2468 |
+
{
|
2469 |
+
"epoch": 0.4650429372030088,
|
2470 |
+
"grad_norm": 1.4138596057891846,
|
2471 |
+
"learning_rate": 3.814569360103385e-05,
|
2472 |
+
"loss": 1.6216,
|
2473 |
+
"step": 10912
|
2474 |
+
},
|
2475 |
+
{
|
2476 |
+
"epoch": 0.4663640819109719,
|
2477 |
+
"grad_norm": 1.492357611656189,
|
2478 |
+
"learning_rate": 3.807418486539499e-05,
|
2479 |
+
"loss": 1.6049,
|
2480 |
+
"step": 10943
|
2481 |
+
},
|
2482 |
+
{
|
2483 |
+
"epoch": 0.46768522661893497,
|
2484 |
+
"grad_norm": 1.4756381511688232,
|
2485 |
+
"learning_rate": 3.80025285893569e-05,
|
2486 |
+
"loss": 1.6077,
|
2487 |
+
"step": 10974
|
2488 |
+
},
|
2489 |
+
{
|
2490 |
+
"epoch": 0.4690063713268981,
|
2491 |
+
"grad_norm": 1.4480361938476562,
|
2492 |
+
"learning_rate": 3.793072558155093e-05,
|
2493 |
+
"loss": 1.6131,
|
2494 |
+
"step": 11005
|
2495 |
+
},
|
2496 |
+
{
|
2497 |
+
"epoch": 0.47032751603486117,
|
2498 |
+
"grad_norm": 1.5386732816696167,
|
2499 |
+
"learning_rate": 3.785877665226426e-05,
|
2500 |
+
"loss": 1.6124,
|
2501 |
+
"step": 11036
|
2502 |
+
},
|
2503 |
+
{
|
2504 |
+
"epoch": 0.47164866074282424,
|
2505 |
+
"grad_norm": 1.4616602659225464,
|
2506 |
+
"learning_rate": 3.778668261343079e-05,
|
2507 |
+
"loss": 1.6177,
|
2508 |
+
"step": 11067
|
2509 |
+
},
|
2510 |
+
{
|
2511 |
+
"epoch": 0.4729698054507874,
|
2512 |
+
"grad_norm": 1.4740066528320312,
|
2513 |
+
"learning_rate": 3.771444427862192e-05,
|
2514 |
+
"loss": 1.6194,
|
2515 |
+
"step": 11098
|
2516 |
+
},
|
2517 |
+
{
|
2518 |
+
"epoch": 0.47429095015875045,
|
2519 |
+
"grad_norm": 1.3635661602020264,
|
2520 |
+
"learning_rate": 3.7642062463037465e-05,
|
2521 |
+
"loss": 1.6085,
|
2522 |
+
"step": 11129
|
2523 |
+
},
|
2524 |
+
{
|
2525 |
+
"epoch": 0.4756120948667135,
|
2526 |
+
"grad_norm": 1.4568270444869995,
|
2527 |
+
"learning_rate": 3.7569537983496373e-05,
|
2528 |
+
"loss": 1.6171,
|
2529 |
+
"step": 11160
|
2530 |
+
},
|
2531 |
+
{
|
2532 |
+
"epoch": 0.47693323957467665,
|
2533 |
+
"grad_norm": 1.4151735305786133,
|
2534 |
+
"learning_rate": 3.749687165842753e-05,
|
2535 |
+
"loss": 1.6176,
|
2536 |
+
"step": 11191
|
2537 |
+
},
|
2538 |
+
{
|
2539 |
+
"epoch": 0.4782543842826397,
|
2540 |
+
"grad_norm": 1.3976393938064575,
|
2541 |
+
"learning_rate": 3.7424064307860536e-05,
|
2542 |
+
"loss": 1.6326,
|
2543 |
+
"step": 11222
|
2544 |
+
},
|
2545 |
+
{
|
2546 |
+
"epoch": 0.47957552899060285,
|
2547 |
+
"grad_norm": 1.4214377403259277,
|
2548 |
+
"learning_rate": 3.735111675341645e-05,
|
2549 |
+
"loss": 1.6353,
|
2550 |
+
"step": 11253
|
2551 |
+
},
|
2552 |
+
{
|
2553 |
+
"epoch": 0.4808966736985659,
|
2554 |
+
"grad_norm": 1.453192949295044,
|
2555 |
+
"learning_rate": 3.7278029818298524e-05,
|
2556 |
+
"loss": 1.6225,
|
2557 |
+
"step": 11284
|
2558 |
+
},
|
2559 |
+
{
|
2560 |
+
"epoch": 0.482217818406529,
|
2561 |
+
"grad_norm": 1.3557348251342773,
|
2562 |
+
"learning_rate": 3.720480432728287e-05,
|
2563 |
+
"loss": 1.6195,
|
2564 |
+
"step": 11315
|
2565 |
+
},
|
2566 |
+
{
|
2567 |
+
"epoch": 0.4835389631144921,
|
2568 |
+
"grad_norm": 1.411064863204956,
|
2569 |
+
"learning_rate": 3.71314411067092e-05,
|
2570 |
+
"loss": 1.6026,
|
2571 |
+
"step": 11346
|
2572 |
+
},
|
2573 |
+
{
|
2574 |
+
"epoch": 0.4848601078224552,
|
2575 |
+
"grad_norm": 1.4603424072265625,
|
2576 |
+
"learning_rate": 3.70579409844715e-05,
|
2577 |
+
"loss": 1.6133,
|
2578 |
+
"step": 11377
|
2579 |
+
},
|
2580 |
+
{
|
2581 |
+
"epoch": 0.4861812525304183,
|
2582 |
+
"grad_norm": 1.484947681427002,
|
2583 |
+
"learning_rate": 3.698430479000865e-05,
|
2584 |
+
"loss": 1.5991,
|
2585 |
+
"step": 11408
|
2586 |
+
},
|
2587 |
+
{
|
2588 |
+
"epoch": 0.4875023972383814,
|
2589 |
+
"grad_norm": 1.4569475650787354,
|
2590 |
+
"learning_rate": 3.691053335429509e-05,
|
2591 |
+
"loss": 1.6016,
|
2592 |
+
"step": 11439
|
2593 |
+
},
|
2594 |
+
{
|
2595 |
+
"epoch": 0.4888235419463445,
|
2596 |
+
"grad_norm": 1.3495190143585205,
|
2597 |
+
"learning_rate": 3.683662750983147e-05,
|
2598 |
+
"loss": 1.6119,
|
2599 |
+
"step": 11470
|
2600 |
+
},
|
2601 |
+
{
|
2602 |
+
"epoch": 0.49014468665430755,
|
2603 |
+
"grad_norm": 1.481056809425354,
|
2604 |
+
"learning_rate": 3.676258809063518e-05,
|
2605 |
+
"loss": 1.5983,
|
2606 |
+
"step": 11501
|
2607 |
+
},
|
2608 |
+
{
|
2609 |
+
"epoch": 0.4914658313622707,
|
2610 |
+
"grad_norm": 1.4746501445770264,
|
2611 |
+
"learning_rate": 3.6688415932231004e-05,
|
2612 |
+
"loss": 1.624,
|
2613 |
+
"step": 11532
|
2614 |
+
},
|
2615 |
+
{
|
2616 |
+
"epoch": 0.49278697607023375,
|
2617 |
+
"grad_norm": 1.340066909790039,
|
2618 |
+
"learning_rate": 3.661411187164166e-05,
|
2619 |
+
"loss": 1.5697,
|
2620 |
+
"step": 11563
|
2621 |
+
},
|
2622 |
+
{
|
2623 |
+
"epoch": 0.4941081207781968,
|
2624 |
+
"grad_norm": 1.3957117795944214,
|
2625 |
+
"learning_rate": 3.65396767473784e-05,
|
2626 |
+
"loss": 1.608,
|
2627 |
+
"step": 11594
|
2628 |
+
},
|
2629 |
+
{
|
2630 |
+
"epoch": 0.49542926548615995,
|
2631 |
+
"grad_norm": 1.448289155960083,
|
2632 |
+
"learning_rate": 3.6465111399431465e-05,
|
2633 |
+
"loss": 1.6024,
|
2634 |
+
"step": 11625
|
2635 |
+
},
|
2636 |
+
{
|
2637 |
+
"epoch": 0.496750410194123,
|
2638 |
+
"grad_norm": 1.3630342483520508,
|
2639 |
+
"learning_rate": 3.6390416669260674e-05,
|
2640 |
+
"loss": 1.5887,
|
2641 |
+
"step": 11656
|
2642 |
+
},
|
2643 |
+
{
|
2644 |
+
"epoch": 0.49807155490208616,
|
2645 |
+
"grad_norm": 1.4242172241210938,
|
2646 |
+
"learning_rate": 3.63155933997859e-05,
|
2647 |
+
"loss": 1.5989,
|
2648 |
+
"step": 11687
|
2649 |
+
},
|
2650 |
+
{
|
2651 |
+
"epoch": 0.49939269961004923,
|
2652 |
+
"grad_norm": 1.4106690883636475,
|
2653 |
+
"learning_rate": 3.624064243537758e-05,
|
2654 |
+
"loss": 1.6133,
|
2655 |
+
"step": 11718
|
2656 |
+
},
|
2657 |
+
{
|
2658 |
+
"epoch": 0.5007138443180124,
|
2659 |
+
"grad_norm": 1.3867900371551514,
|
2660 |
+
"learning_rate": 3.616556462184716e-05,
|
2661 |
+
"loss": 1.5766,
|
2662 |
+
"step": 11749
|
2663 |
+
},
|
2664 |
+
{
|
2665 |
+
"epoch": 0.5020349890259754,
|
2666 |
+
"grad_norm": 1.4181773662567139,
|
2667 |
+
"learning_rate": 3.609036080643755e-05,
|
2668 |
+
"loss": 1.6259,
|
2669 |
+
"step": 11780
|
2670 |
+
},
|
2671 |
+
{
|
2672 |
+
"epoch": 0.5033561337339385,
|
2673 |
+
"grad_norm": 1.434336543083191,
|
2674 |
+
"learning_rate": 3.60150318378136e-05,
|
2675 |
+
"loss": 1.6021,
|
2676 |
+
"step": 11811
|
2677 |
+
},
|
2678 |
+
{
|
2679 |
+
"epoch": 0.5046772784419016,
|
2680 |
+
"grad_norm": 1.370049238204956,
|
2681 |
+
"learning_rate": 3.5939578566052465e-05,
|
2682 |
+
"loss": 1.5802,
|
2683 |
+
"step": 11842
|
2684 |
+
},
|
2685 |
+
{
|
2686 |
+
"epoch": 0.5059984231498647,
|
2687 |
+
"grad_norm": 1.3584986925125122,
|
2688 |
+
"learning_rate": 3.586400184263408e-05,
|
2689 |
+
"loss": 1.5964,
|
2690 |
+
"step": 11873
|
2691 |
+
},
|
2692 |
+
{
|
2693 |
+
"epoch": 0.5073195678578278,
|
2694 |
+
"grad_norm": 1.458137035369873,
|
2695 |
+
"learning_rate": 3.578830252043148e-05,
|
2696 |
+
"loss": 1.5962,
|
2697 |
+
"step": 11904
|
2698 |
+
},
|
2699 |
+
{
|
2700 |
+
"epoch": 0.5086407125657909,
|
2701 |
+
"grad_norm": 1.4329200983047485,
|
2702 |
+
"learning_rate": 3.571248145370125e-05,
|
2703 |
+
"loss": 1.6046,
|
2704 |
+
"step": 11935
|
2705 |
+
},
|
2706 |
+
{
|
2707 |
+
"epoch": 0.509961857273754,
|
2708 |
+
"grad_norm": 1.3814787864685059,
|
2709 |
+
"learning_rate": 3.5636539498073794e-05,
|
2710 |
+
"loss": 1.5901,
|
2711 |
+
"step": 11966
|
2712 |
+
},
|
2713 |
+
{
|
2714 |
+
"epoch": 0.5112830019817171,
|
2715 |
+
"grad_norm": 1.3795075416564941,
|
2716 |
+
"learning_rate": 3.556047751054378e-05,
|
2717 |
+
"loss": 1.621,
|
2718 |
+
"step": 11997
|
2719 |
+
},
|
2720 |
+
{
|
2721 |
+
"epoch": 0.5126041466896801,
|
2722 |
+
"grad_norm": 1.4559143781661987,
|
2723 |
+
"learning_rate": 3.548429634946039e-05,
|
2724 |
+
"loss": 1.5845,
|
2725 |
+
"step": 12028
|
2726 |
+
},
|
2727 |
+
{
|
2728 |
+
"epoch": 0.5139252913976432,
|
2729 |
+
"grad_norm": 1.468773365020752,
|
2730 |
+
"learning_rate": 3.540799687451768e-05,
|
2731 |
+
"loss": 1.5956,
|
2732 |
+
"step": 12059
|
2733 |
+
},
|
2734 |
+
{
|
2735 |
+
"epoch": 0.5152464361056064,
|
2736 |
+
"grad_norm": 1.5287885665893555,
|
2737 |
+
"learning_rate": 3.533157994674485e-05,
|
2738 |
+
"loss": 1.5801,
|
2739 |
+
"step": 12090
|
2740 |
+
},
|
2741 |
+
{
|
2742 |
+
"epoch": 0.5165675808135695,
|
2743 |
+
"grad_norm": 1.4891117811203003,
|
2744 |
+
"learning_rate": 3.5255046428496546e-05,
|
2745 |
+
"loss": 1.6034,
|
2746 |
+
"step": 12121
|
2747 |
+
},
|
2748 |
+
{
|
2749 |
+
"epoch": 0.5178887255215325,
|
2750 |
+
"grad_norm": 1.541502594947815,
|
2751 |
+
"learning_rate": 3.517839718344311e-05,
|
2752 |
+
"loss": 1.6076,
|
2753 |
+
"step": 12152
|
2754 |
+
},
|
2755 |
+
{
|
2756 |
+
"epoch": 0.5192098702294956,
|
2757 |
+
"grad_norm": 1.3209787607192993,
|
2758 |
+
"learning_rate": 3.510163307656086e-05,
|
2759 |
+
"loss": 1.5967,
|
2760 |
+
"step": 12183
|
2761 |
+
},
|
2762 |
+
{
|
2763 |
+
"epoch": 0.5205310149374587,
|
2764 |
+
"grad_norm": 1.534022569656372,
|
2765 |
+
"learning_rate": 3.5024754974122324e-05,
|
2766 |
+
"loss": 1.5808,
|
2767 |
+
"step": 12214
|
2768 |
+
},
|
2769 |
+
{
|
2770 |
+
"epoch": 0.5218521596454218,
|
2771 |
+
"grad_norm": 1.460730791091919,
|
2772 |
+
"learning_rate": 3.494776374368643e-05,
|
2773 |
+
"loss": 1.6052,
|
2774 |
+
"step": 12245
|
2775 |
+
},
|
2776 |
+
{
|
2777 |
+
"epoch": 0.5231733043533849,
|
2778 |
+
"grad_norm": 1.4722791910171509,
|
2779 |
+
"learning_rate": 3.4870660254088724e-05,
|
2780 |
+
"loss": 1.5959,
|
2781 |
+
"step": 12276
|
2782 |
+
},
|
2783 |
+
{
|
2784 |
+
"epoch": 0.524494449061348,
|
2785 |
+
"grad_norm": 1.345739722251892,
|
2786 |
+
"learning_rate": 3.479344537543164e-05,
|
2787 |
+
"loss": 1.5888,
|
2788 |
+
"step": 12307
|
2789 |
+
},
|
2790 |
+
{
|
2791 |
+
"epoch": 0.5258155937693111,
|
2792 |
+
"grad_norm": 1.3360117673873901,
|
2793 |
+
"learning_rate": 3.4716119979074565e-05,
|
2794 |
+
"loss": 1.5933,
|
2795 |
+
"step": 12338
|
2796 |
+
},
|
2797 |
+
{
|
2798 |
+
"epoch": 0.5271367384772742,
|
2799 |
+
"grad_norm": 1.4767347574234009,
|
2800 |
+
"learning_rate": 3.463868493762412e-05,
|
2801 |
+
"loss": 1.5741,
|
2802 |
+
"step": 12369
|
2803 |
+
},
|
2804 |
+
{
|
2805 |
+
"epoch": 0.5284578831852372,
|
2806 |
+
"grad_norm": 1.364464521408081,
|
2807 |
+
"learning_rate": 3.456114112492418e-05,
|
2808 |
+
"loss": 1.6054,
|
2809 |
+
"step": 12400
|
2810 |
+
},
|
2811 |
+
{
|
2812 |
+
"epoch": 0.5297790278932004,
|
2813 |
+
"grad_norm": 1.4622302055358887,
|
2814 |
+
"learning_rate": 3.4483489416046164e-05,
|
2815 |
+
"loss": 1.5907,
|
2816 |
+
"step": 12431
|
2817 |
+
},
|
2818 |
+
{
|
2819 |
+
"epoch": 0.5311001726011635,
|
2820 |
+
"grad_norm": 1.4068593978881836,
|
2821 |
+
"learning_rate": 3.440573068727905e-05,
|
2822 |
+
"loss": 1.6045,
|
2823 |
+
"step": 12462
|
2824 |
+
},
|
2825 |
+
{
|
2826 |
+
"epoch": 0.5324213173091266,
|
2827 |
+
"grad_norm": 1.449144959449768,
|
2828 |
+
"learning_rate": 3.4327865816119495e-05,
|
2829 |
+
"loss": 1.5987,
|
2830 |
+
"step": 12493
|
2831 |
+
},
|
2832 |
+
{
|
2833 |
+
"epoch": 0.5337424620170896,
|
2834 |
+
"grad_norm": 1.4499784708023071,
|
2835 |
+
"learning_rate": 3.4249895681262025e-05,
|
2836 |
+
"loss": 1.585,
|
2837 |
+
"step": 12524
|
2838 |
+
},
|
2839 |
+
{
|
2840 |
+
"epoch": 0.5350636067250527,
|
2841 |
+
"grad_norm": 1.4232062101364136,
|
2842 |
+
"learning_rate": 3.417182116258899e-05,
|
2843 |
+
"loss": 1.605,
|
2844 |
+
"step": 12555
|
2845 |
+
},
|
2846 |
+
{
|
2847 |
+
"epoch": 0.5363847514330158,
|
2848 |
+
"grad_norm": 1.454372763633728,
|
2849 |
+
"learning_rate": 3.409364314116074e-05,
|
2850 |
+
"loss": 1.6045,
|
2851 |
+
"step": 12586
|
2852 |
+
},
|
2853 |
+
{
|
2854 |
+
"epoch": 0.537705896140979,
|
2855 |
+
"grad_norm": 1.3590772151947021,
|
2856 |
+
"learning_rate": 3.401536249920559e-05,
|
2857 |
+
"loss": 1.5772,
|
2858 |
+
"step": 12617
|
2859 |
+
},
|
2860 |
+
{
|
2861 |
+
"epoch": 0.539027040848942,
|
2862 |
+
"grad_norm": 1.3528358936309814,
|
2863 |
+
"learning_rate": 3.393698012010998e-05,
|
2864 |
+
"loss": 1.5792,
|
2865 |
+
"step": 12648
|
2866 |
+
},
|
2867 |
+
{
|
2868 |
+
"epoch": 0.5403481855569051,
|
2869 |
+
"grad_norm": 1.3940211534500122,
|
2870 |
+
"learning_rate": 3.385849688840839e-05,
|
2871 |
+
"loss": 1.5981,
|
2872 |
+
"step": 12679
|
2873 |
+
},
|
2874 |
+
{
|
2875 |
+
"epoch": 0.5416693302648682,
|
2876 |
+
"grad_norm": 1.5671747922897339,
|
2877 |
+
"learning_rate": 3.3779913689773414e-05,
|
2878 |
+
"loss": 1.596,
|
2879 |
+
"step": 12710
|
2880 |
+
},
|
2881 |
+
{
|
2882 |
+
"epoch": 0.5429904749728313,
|
2883 |
+
"grad_norm": 1.5250004529953003,
|
2884 |
+
"learning_rate": 3.370123141100578e-05,
|
2885 |
+
"loss": 1.6173,
|
2886 |
+
"step": 12741
|
2887 |
+
},
|
2888 |
+
{
|
2889 |
+
"epoch": 0.5443116196807944,
|
2890 |
+
"grad_norm": 1.4243561029434204,
|
2891 |
+
"learning_rate": 3.3622450940024305e-05,
|
2892 |
+
"loss": 1.5748,
|
2893 |
+
"step": 12772
|
2894 |
+
},
|
2895 |
+
{
|
2896 |
+
"epoch": 0.5456327643887575,
|
2897 |
+
"grad_norm": 1.3759068250656128,
|
2898 |
+
"learning_rate": 3.35435731658559e-05,
|
2899 |
+
"loss": 1.5953,
|
2900 |
+
"step": 12803
|
2901 |
+
},
|
2902 |
+
{
|
2903 |
+
"epoch": 0.5469539090967206,
|
2904 |
+
"grad_norm": 1.3891198635101318,
|
2905 |
+
"learning_rate": 3.346459897862552e-05,
|
2906 |
+
"loss": 1.5693,
|
2907 |
+
"step": 12834
|
2908 |
+
},
|
2909 |
+
{
|
2910 |
+
"epoch": 0.5482750538046837,
|
2911 |
+
"grad_norm": 1.341163992881775,
|
2912 |
+
"learning_rate": 3.338552926954613e-05,
|
2913 |
+
"loss": 1.5937,
|
2914 |
+
"step": 12865
|
2915 |
+
},
|
2916 |
+
{
|
2917 |
+
"epoch": 0.5495961985126467,
|
2918 |
+
"grad_norm": 1.4457162618637085,
|
2919 |
+
"learning_rate": 3.330636493090868e-05,
|
2920 |
+
"loss": 1.5821,
|
2921 |
+
"step": 12896
|
2922 |
+
},
|
2923 |
+
{
|
2924 |
+
"epoch": 0.5509173432206098,
|
2925 |
+
"grad_norm": 1.3722436428070068,
|
2926 |
+
"learning_rate": 3.322710685607193e-05,
|
2927 |
+
"loss": 1.5847,
|
2928 |
+
"step": 12927
|
2929 |
+
},
|
2930 |
+
{
|
2931 |
+
"epoch": 0.552238487928573,
|
2932 |
+
"grad_norm": 1.3744261264801025,
|
2933 |
+
"learning_rate": 3.314775593945251e-05,
|
2934 |
+
"loss": 1.5668,
|
2935 |
+
"step": 12958
|
2936 |
+
},
|
2937 |
+
{
|
2938 |
+
"epoch": 0.5535596326365361,
|
2939 |
+
"grad_norm": 1.5389301776885986,
|
2940 |
+
"learning_rate": 3.3068313076514714e-05,
|
2941 |
+
"loss": 1.6037,
|
2942 |
+
"step": 12989
|
2943 |
+
},
|
2944 |
+
{
|
2945 |
+
"epoch": 0.5548807773444991,
|
2946 |
+
"grad_norm": 1.3751068115234375,
|
2947 |
+
"learning_rate": 3.298877916376047e-05,
|
2948 |
+
"loss": 1.5938,
|
2949 |
+
"step": 13020
|
2950 |
+
},
|
2951 |
+
{
|
2952 |
+
"epoch": 0.5562019220524622,
|
2953 |
+
"grad_norm": 1.442494511604309,
|
2954 |
+
"learning_rate": 3.290915509871915e-05,
|
2955 |
+
"loss": 1.5744,
|
2956 |
+
"step": 13051
|
2957 |
+
},
|
2958 |
+
{
|
2959 |
+
"epoch": 0.5575230667604253,
|
2960 |
+
"grad_norm": 1.4287244081497192,
|
2961 |
+
"learning_rate": 3.282944177993753e-05,
|
2962 |
+
"loss": 1.5788,
|
2963 |
+
"step": 13082
|
2964 |
+
},
|
2965 |
+
{
|
2966 |
+
"epoch": 0.5588442114683884,
|
2967 |
+
"grad_norm": 1.4278240203857422,
|
2968 |
+
"learning_rate": 3.274964010696957e-05,
|
2969 |
+
"loss": 1.569,
|
2970 |
+
"step": 13113
|
2971 |
+
},
|
2972 |
+
{
|
2973 |
+
"epoch": 0.5601653561763515,
|
2974 |
+
"grad_norm": 1.3635144233703613,
|
2975 |
+
"learning_rate": 3.266975098036629e-05,
|
2976 |
+
"loss": 1.5824,
|
2977 |
+
"step": 13144
|
2978 |
+
},
|
2979 |
+
{
|
2980 |
+
"epoch": 0.5614865008843146,
|
2981 |
+
"grad_norm": 1.4243277311325073,
|
2982 |
+
"learning_rate": 3.258977530166562e-05,
|
2983 |
+
"loss": 1.5832,
|
2984 |
+
"step": 13175
|
2985 |
+
},
|
2986 |
+
{
|
2987 |
+
"epoch": 0.5628076455922777,
|
2988 |
+
"grad_norm": 1.4209073781967163,
|
2989 |
+
"learning_rate": 3.250971397338227e-05,
|
2990 |
+
"loss": 1.5813,
|
2991 |
+
"step": 13206
|
2992 |
+
},
|
2993 |
+
{
|
2994 |
+
"epoch": 0.5641287903002408,
|
2995 |
+
"grad_norm": 1.4427789449691772,
|
2996 |
+
"learning_rate": 3.2429567898997404e-05,
|
2997 |
+
"loss": 1.5671,
|
2998 |
+
"step": 13237
|
2999 |
+
},
|
3000 |
+
{
|
3001 |
+
"epoch": 0.5654499350082038,
|
3002 |
+
"grad_norm": 1.40023672580719,
|
3003 |
+
"learning_rate": 3.234933798294859e-05,
|
3004 |
+
"loss": 1.5906,
|
3005 |
+
"step": 13268
|
3006 |
+
},
|
3007 |
+
{
|
3008 |
+
"epoch": 0.566771079716167,
|
3009 |
+
"grad_norm": 1.3432368040084839,
|
3010 |
+
"learning_rate": 3.2269025130619535e-05,
|
3011 |
+
"loss": 1.5754,
|
3012 |
+
"step": 13299
|
3013 |
+
},
|
3014 |
+
{
|
3015 |
+
"epoch": 0.5680922244241301,
|
3016 |
+
"grad_norm": 1.3551653623580933,
|
3017 |
+
"learning_rate": 3.218863024832985e-05,
|
3018 |
+
"loss": 1.5729,
|
3019 |
+
"step": 13330
|
3020 |
+
},
|
3021 |
+
{
|
3022 |
+
"epoch": 0.5694133691320932,
|
3023 |
+
"grad_norm": 1.4137156009674072,
|
3024 |
+
"learning_rate": 3.2108154243324864e-05,
|
3025 |
+
"loss": 1.5852,
|
3026 |
+
"step": 13361
|
3027 |
+
},
|
3028 |
+
{
|
3029 |
+
"epoch": 0.5707345138400562,
|
3030 |
+
"grad_norm": 1.408336877822876,
|
3031 |
+
"learning_rate": 3.2027598023765345e-05,
|
3032 |
+
"loss": 1.5923,
|
3033 |
+
"step": 13392
|
3034 |
+
},
|
3035 |
+
{
|
3036 |
+
"epoch": 0.5720556585480193,
|
3037 |
+
"grad_norm": 1.4031184911727905,
|
3038 |
+
"learning_rate": 3.194696249871729e-05,
|
3039 |
+
"loss": 1.5958,
|
3040 |
+
"step": 13423
|
3041 |
+
},
|
3042 |
+
{
|
3043 |
+
"epoch": 0.5733768032559824,
|
3044 |
+
"grad_norm": 1.3647385835647583,
|
3045 |
+
"learning_rate": 3.186624857814164e-05,
|
3046 |
+
"loss": 1.6011,
|
3047 |
+
"step": 13454
|
3048 |
+
},
|
3049 |
+
{
|
3050 |
+
"epoch": 0.5746979479639456,
|
3051 |
+
"grad_norm": 1.3675132989883423,
|
3052 |
+
"learning_rate": 3.178545717288401e-05,
|
3053 |
+
"loss": 1.5905,
|
3054 |
+
"step": 13485
|
3055 |
+
},
|
3056 |
+
{
|
3057 |
+
"epoch": 0.5760190926719087,
|
3058 |
+
"grad_norm": 1.3849265575408936,
|
3059 |
+
"learning_rate": 3.170458919466444e-05,
|
3060 |
+
"loss": 1.5834,
|
3061 |
+
"step": 13516
|
3062 |
+
},
|
3063 |
+
{
|
3064 |
+
"epoch": 0.5773402373798717,
|
3065 |
+
"grad_norm": 1.3320952653884888,
|
3066 |
+
"learning_rate": 3.1623645556067063e-05,
|
3067 |
+
"loss": 1.5897,
|
3068 |
+
"step": 13547
|
3069 |
+
},
|
3070 |
+
{
|
3071 |
+
"epoch": 0.5786613820878348,
|
3072 |
+
"grad_norm": 1.3240253925323486,
|
3073 |
+
"learning_rate": 3.154262717052985e-05,
|
3074 |
+
"loss": 1.5587,
|
3075 |
+
"step": 13578
|
3076 |
+
},
|
3077 |
+
{
|
3078 |
+
"epoch": 0.5799825267957979,
|
3079 |
+
"grad_norm": 1.4849603176116943,
|
3080 |
+
"learning_rate": 3.146153495233426e-05,
|
3081 |
+
"loss": 1.5845,
|
3082 |
+
"step": 13609
|
3083 |
+
},
|
3084 |
+
{
|
3085 |
+
"epoch": 0.581303671503761,
|
3086 |
+
"grad_norm": 1.3303260803222656,
|
3087 |
+
"learning_rate": 3.1380369816594944e-05,
|
3088 |
+
"loss": 1.5895,
|
3089 |
+
"step": 13640
|
3090 |
+
},
|
3091 |
+
{
|
3092 |
+
"epoch": 0.5826248162117241,
|
3093 |
+
"grad_norm": 1.4952738285064697,
|
3094 |
+
"learning_rate": 3.129913267924946e-05,
|
3095 |
+
"loss": 1.5909,
|
3096 |
+
"step": 13671
|
3097 |
+
},
|
3098 |
+
{
|
3099 |
+
"epoch": 0.5839459609196872,
|
3100 |
+
"grad_norm": 1.3588736057281494,
|
3101 |
+
"learning_rate": 3.121782445704782e-05,
|
3102 |
+
"loss": 1.5923,
|
3103 |
+
"step": 13702
|
3104 |
+
},
|
3105 |
+
{
|
3106 |
+
"epoch": 0.5852671056276503,
|
3107 |
+
"grad_norm": 1.2940070629119873,
|
3108 |
+
"learning_rate": 3.11364460675423e-05,
|
3109 |
+
"loss": 1.5703,
|
3110 |
+
"step": 13733
|
3111 |
+
},
|
3112 |
+
{
|
3113 |
+
"epoch": 0.5865882503356133,
|
3114 |
+
"grad_norm": 1.4225587844848633,
|
3115 |
+
"learning_rate": 3.1054998429076934e-05,
|
3116 |
+
"loss": 1.6073,
|
3117 |
+
"step": 13764
|
3118 |
+
},
|
3119 |
+
{
|
3120 |
+
"epoch": 0.5879093950435764,
|
3121 |
+
"grad_norm": 1.3482099771499634,
|
3122 |
+
"learning_rate": 3.097348246077728e-05,
|
3123 |
+
"loss": 1.5872,
|
3124 |
+
"step": 13795
|
3125 |
+
},
|
3126 |
+
{
|
3127 |
+
"epoch": 0.5892305397515396,
|
3128 |
+
"grad_norm": 1.4100350141525269,
|
3129 |
+
"learning_rate": 3.0891899082539924e-05,
|
3130 |
+
"loss": 1.5852,
|
3131 |
+
"step": 13826
|
3132 |
+
},
|
3133 |
+
{
|
3134 |
+
"epoch": 0.5905516844595027,
|
3135 |
+
"grad_norm": 1.4312938451766968,
|
3136 |
+
"learning_rate": 3.0810249215022233e-05,
|
3137 |
+
"loss": 1.5729,
|
3138 |
+
"step": 13857
|
3139 |
+
},
|
3140 |
+
{
|
3141 |
+
"epoch": 0.5918728291674658,
|
3142 |
+
"grad_norm": 1.5027344226837158,
|
3143 |
+
"learning_rate": 3.0728533779631865e-05,
|
3144 |
+
"loss": 1.5712,
|
3145 |
+
"step": 13888
|
3146 |
+
},
|
3147 |
+
{
|
3148 |
+
"epoch": 0.5931939738754288,
|
3149 |
+
"grad_norm": 1.3554552793502808,
|
3150 |
+
"learning_rate": 3.064675369851637e-05,
|
3151 |
+
"loss": 1.5733,
|
3152 |
+
"step": 13919
|
3153 |
+
},
|
3154 |
+
{
|
3155 |
+
"epoch": 0.5945151185833919,
|
3156 |
+
"grad_norm": 1.356598973274231,
|
3157 |
+
"learning_rate": 3.056490989455289e-05,
|
3158 |
+
"loss": 1.5594,
|
3159 |
+
"step": 13950
|
3160 |
+
},
|
3161 |
+
{
|
3162 |
+
"epoch": 0.595836263291355,
|
3163 |
+
"grad_norm": 1.406317114830017,
|
3164 |
+
"learning_rate": 3.0483003291337596e-05,
|
3165 |
+
"loss": 1.5817,
|
3166 |
+
"step": 13981
|
3167 |
+
},
|
3168 |
+
{
|
3169 |
+
"epoch": 0.5971574079993182,
|
3170 |
+
"grad_norm": 1.3264002799987793,
|
3171 |
+
"learning_rate": 3.040103481317539e-05,
|
3172 |
+
"loss": 1.6009,
|
3173 |
+
"step": 14012
|
3174 |
+
},
|
3175 |
+
{
|
3176 |
+
"epoch": 0.5984785527072812,
|
3177 |
+
"grad_norm": 1.4850720167160034,
|
3178 |
+
"learning_rate": 3.03190053850694e-05,
|
3179 |
+
"loss": 1.5703,
|
3180 |
+
"step": 14043
|
3181 |
+
},
|
3182 |
+
{
|
3183 |
+
"epoch": 0.5997996974152443,
|
3184 |
+
"grad_norm": 1.45437753200531,
|
3185 |
+
"learning_rate": 3.0236915932710573e-05,
|
3186 |
+
"loss": 1.5872,
|
3187 |
+
"step": 14074
|
3188 |
+
},
|
3189 |
+
{
|
3190 |
+
"epoch": 0.6011208421232074,
|
3191 |
+
"grad_norm": 1.4236788749694824,
|
3192 |
+
"learning_rate": 3.0154767382467232e-05,
|
3193 |
+
"loss": 1.5897,
|
3194 |
+
"step": 14105
|
3195 |
+
},
|
3196 |
+
{
|
3197 |
+
"epoch": 0.6024419868311705,
|
3198 |
+
"grad_norm": 1.3803141117095947,
|
3199 |
+
"learning_rate": 3.0072560661374582e-05,
|
3200 |
+
"loss": 1.5826,
|
3201 |
+
"step": 14136
|
3202 |
+
},
|
3203 |
+
{
|
3204 |
+
"epoch": 0.6037631315391336,
|
3205 |
+
"grad_norm": 1.3711870908737183,
|
3206 |
+
"learning_rate": 2.999029669712431e-05,
|
3207 |
+
"loss": 1.5959,
|
3208 |
+
"step": 14167
|
3209 |
+
},
|
3210 |
+
{
|
3211 |
+
"epoch": 0.6050842762470967,
|
3212 |
+
"grad_norm": 1.3403728008270264,
|
3213 |
+
"learning_rate": 2.990797641805408e-05,
|
3214 |
+
"loss": 1.571,
|
3215 |
+
"step": 14198
|
3216 |
+
},
|
3217 |
+
{
|
3218 |
+
"epoch": 0.6064054209550598,
|
3219 |
+
"grad_norm": 1.4036363363265991,
|
3220 |
+
"learning_rate": 2.982560075313704e-05,
|
3221 |
+
"loss": 1.5784,
|
3222 |
+
"step": 14229
|
3223 |
+
},
|
3224 |
+
{
|
3225 |
+
"epoch": 0.6077265656630229,
|
3226 |
+
"grad_norm": 1.361581563949585,
|
3227 |
+
"learning_rate": 2.9743170631971368e-05,
|
3228 |
+
"loss": 1.5865,
|
3229 |
+
"step": 14260
|
3230 |
+
},
|
3231 |
+
{
|
3232 |
+
"epoch": 0.6090477103709859,
|
3233 |
+
"grad_norm": 1.4343942403793335,
|
3234 |
+
"learning_rate": 2.9660686984769792e-05,
|
3235 |
+
"loss": 1.5636,
|
3236 |
+
"step": 14291
|
3237 |
+
},
|
3238 |
+
{
|
3239 |
+
"epoch": 0.610368855078949,
|
3240 |
+
"grad_norm": 1.4140040874481201,
|
3241 |
+
"learning_rate": 2.9578150742349047e-05,
|
3242 |
+
"loss": 1.5643,
|
3243 |
+
"step": 14322
|
3244 |
+
},
|
3245 |
+
{
|
3246 |
+
"epoch": 0.6116899997869122,
|
3247 |
+
"grad_norm": 1.4035499095916748,
|
3248 |
+
"learning_rate": 2.949556283611942e-05,
|
3249 |
+
"loss": 1.5924,
|
3250 |
+
"step": 14353
|
3251 |
+
},
|
3252 |
+
{
|
3253 |
+
"epoch": 0.6130111444948753,
|
3254 |
+
"grad_norm": 1.4702353477478027,
|
3255 |
+
"learning_rate": 2.9412924198074206e-05,
|
3256 |
+
"loss": 1.5725,
|
3257 |
+
"step": 14384
|
3258 |
+
},
|
3259 |
+
{
|
3260 |
+
"epoch": 0.6143322892028383,
|
3261 |
+
"grad_norm": 1.342893362045288,
|
3262 |
+
"learning_rate": 2.9330235760779208e-05,
|
3263 |
+
"loss": 1.5971,
|
3264 |
+
"step": 14415
|
3265 |
+
},
|
3266 |
+
{
|
3267 |
+
"epoch": 0.6156534339108014,
|
3268 |
+
"grad_norm": 1.3674631118774414,
|
3269 |
+
"learning_rate": 2.9247498457362188e-05,
|
3270 |
+
"loss": 1.5733,
|
3271 |
+
"step": 14446
|
3272 |
+
},
|
3273 |
+
{
|
3274 |
+
"epoch": 0.6169745786187645,
|
3275 |
+
"grad_norm": 1.3972622156143188,
|
3276 |
+
"learning_rate": 2.9164713221502373e-05,
|
3277 |
+
"loss": 1.562,
|
3278 |
+
"step": 14477
|
3279 |
+
},
|
3280 |
+
{
|
3281 |
+
"epoch": 0.6182957233267277,
|
3282 |
+
"grad_norm": 1.3173855543136597,
|
3283 |
+
"learning_rate": 2.9081880987419912e-05,
|
3284 |
+
"loss": 1.5786,
|
3285 |
+
"step": 14508
|
3286 |
+
},
|
3287 |
+
{
|
3288 |
+
"epoch": 0.6196168680346907,
|
3289 |
+
"grad_norm": 1.3843812942504883,
|
3290 |
+
"learning_rate": 2.8999002689865296e-05,
|
3291 |
+
"loss": 1.5532,
|
3292 |
+
"step": 14539
|
3293 |
+
},
|
3294 |
+
{
|
3295 |
+
"epoch": 0.6209380127426538,
|
3296 |
+
"grad_norm": 1.350704550743103,
|
3297 |
+
"learning_rate": 2.8916079264108852e-05,
|
3298 |
+
"loss": 1.5588,
|
3299 |
+
"step": 14570
|
3300 |
+
},
|
3301 |
+
{
|
3302 |
+
"epoch": 0.6222591574506169,
|
3303 |
+
"grad_norm": 1.460552453994751,
|
3304 |
+
"learning_rate": 2.883311164593017e-05,
|
3305 |
+
"loss": 1.5636,
|
3306 |
+
"step": 14601
|
3307 |
+
},
|
3308 |
+
{
|
3309 |
+
"epoch": 0.62358030215858,
|
3310 |
+
"grad_norm": 1.288114070892334,
|
3311 |
+
"learning_rate": 2.875010077160754e-05,
|
3312 |
+
"loss": 1.5355,
|
3313 |
+
"step": 14632
|
3314 |
+
},
|
3315 |
+
{
|
3316 |
+
"epoch": 0.624901446866543,
|
3317 |
+
"grad_norm": 1.3940645456314087,
|
3318 |
+
"learning_rate": 2.866704757790741e-05,
|
3319 |
+
"loss": 1.5562,
|
3320 |
+
"step": 14663
|
3321 |
+
},
|
3322 |
+
{
|
3323 |
+
"epoch": 0.6262225915745062,
|
3324 |
+
"grad_norm": 1.4258652925491333,
|
3325 |
+
"learning_rate": 2.858395300207376e-05,
|
3326 |
+
"loss": 1.5741,
|
3327 |
+
"step": 14694
|
3328 |
+
},
|
3329 |
+
{
|
3330 |
+
"epoch": 0.6275437362824693,
|
3331 |
+
"grad_norm": 1.2987011671066284,
|
3332 |
+
"learning_rate": 2.8500817981817607e-05,
|
3333 |
+
"loss": 1.5716,
|
3334 |
+
"step": 14725
|
3335 |
+
},
|
3336 |
+
{
|
3337 |
+
"epoch": 0.6288648809904324,
|
3338 |
+
"grad_norm": 1.345184326171875,
|
3339 |
+
"learning_rate": 2.8417643455306336e-05,
|
3340 |
+
"loss": 1.5757,
|
3341 |
+
"step": 14756
|
3342 |
+
},
|
3343 |
+
{
|
3344 |
+
"epoch": 0.6301860256983954,
|
3345 |
+
"grad_norm": 1.3593329191207886,
|
3346 |
+
"learning_rate": 2.8334430361153185e-05,
|
3347 |
+
"loss": 1.5769,
|
3348 |
+
"step": 14787
|
3349 |
+
},
|
3350 |
+
{
|
3351 |
+
"epoch": 0.6315071704063585,
|
3352 |
+
"grad_norm": 1.369004726409912,
|
3353 |
+
"learning_rate": 2.8251179638406612e-05,
|
3354 |
+
"loss": 1.5681,
|
3355 |
+
"step": 14818
|
3356 |
+
},
|
3357 |
+
{
|
3358 |
+
"epoch": 0.6328283151143216,
|
3359 |
+
"grad_norm": 1.3379971981048584,
|
3360 |
+
"learning_rate": 2.8167892226539704e-05,
|
3361 |
+
"loss": 1.561,
|
3362 |
+
"step": 14849
|
3363 |
+
},
|
3364 |
+
{
|
3365 |
+
"epoch": 0.6341494598222848,
|
3366 |
+
"grad_norm": 1.3294727802276611,
|
3367 |
+
"learning_rate": 2.8084569065439588e-05,
|
3368 |
+
"loss": 1.583,
|
3369 |
+
"step": 14880
|
3370 |
+
},
|
3371 |
+
{
|
3372 |
+
"epoch": 0.6354706045302478,
|
3373 |
+
"grad_norm": 1.3562073707580566,
|
3374 |
+
"learning_rate": 2.8001211095396807e-05,
|
3375 |
+
"loss": 1.5758,
|
3376 |
+
"step": 14911
|
3377 |
+
},
|
3378 |
+
{
|
3379 |
+
"epoch": 0.6367917492382109,
|
3380 |
+
"grad_norm": 1.359453797340393,
|
3381 |
+
"learning_rate": 2.791781925709473e-05,
|
3382 |
+
"loss": 1.5689,
|
3383 |
+
"step": 14942
|
3384 |
+
},
|
3385 |
+
{
|
3386 |
+
"epoch": 0.638112893946174,
|
3387 |
+
"grad_norm": 1.3837451934814453,
|
3388 |
+
"learning_rate": 2.7834394491598908e-05,
|
3389 |
+
"loss": 1.5644,
|
3390 |
+
"step": 14973
|
3391 |
+
},
|
3392 |
+
{
|
3393 |
+
"epoch": 0.6394340386541371,
|
3394 |
+
"grad_norm": 1.37912118434906,
|
3395 |
+
"learning_rate": 2.7750937740346485e-05,
|
3396 |
+
"loss": 1.5692,
|
3397 |
+
"step": 15004
|
3398 |
+
},
|
3399 |
+
{
|
3400 |
+
"epoch": 0.6407551833621002,
|
3401 |
+
"grad_norm": 1.3171929121017456,
|
3402 |
+
"learning_rate": 2.7667449945135564e-05,
|
3403 |
+
"loss": 1.5773,
|
3404 |
+
"step": 15035
|
3405 |
+
},
|
3406 |
+
{
|
3407 |
+
"epoch": 0.6420763280700633,
|
3408 |
+
"grad_norm": 1.3926173448562622,
|
3409 |
+
"learning_rate": 2.7583932048114557e-05,
|
3410 |
+
"loss": 1.5637,
|
3411 |
+
"step": 15066
|
3412 |
+
},
|
3413 |
+
{
|
3414 |
+
"epoch": 0.6433974727780264,
|
3415 |
+
"grad_norm": 1.3726190328598022,
|
3416 |
+
"learning_rate": 2.7500384991771587e-05,
|
3417 |
+
"loss": 1.5847,
|
3418 |
+
"step": 15097
|
3419 |
+
},
|
3420 |
+
{
|
3421 |
+
"epoch": 0.6447186174859895,
|
3422 |
+
"grad_norm": 1.4371352195739746,
|
3423 |
+
"learning_rate": 2.7416809718923825e-05,
|
3424 |
+
"loss": 1.5591,
|
3425 |
+
"step": 15128
|
3426 |
+
},
|
3427 |
+
{
|
3428 |
+
"epoch": 0.6460397621939525,
|
3429 |
+
"grad_norm": 1.2980587482452393,
|
3430 |
+
"learning_rate": 2.7333207172706864e-05,
|
3431 |
+
"loss": 1.564,
|
3432 |
+
"step": 15159
|
3433 |
+
},
|
3434 |
+
{
|
3435 |
+
"epoch": 0.6473609069019156,
|
3436 |
+
"grad_norm": 1.3802196979522705,
|
3437 |
+
"learning_rate": 2.7249578296564088e-05,
|
3438 |
+
"loss": 1.5816,
|
3439 |
+
"step": 15190
|
3440 |
+
},
|
3441 |
+
{
|
3442 |
+
"epoch": 0.6486820516098788,
|
3443 |
+
"grad_norm": 1.349716067314148,
|
3444 |
+
"learning_rate": 2.7165924034235973e-05,
|
3445 |
+
"loss": 1.5671,
|
3446 |
+
"step": 15221
|
3447 |
+
},
|
3448 |
+
{
|
3449 |
+
"epoch": 0.6500031963178419,
|
3450 |
+
"grad_norm": 1.3532193899154663,
|
3451 |
+
"learning_rate": 2.708224532974953e-05,
|
3452 |
+
"loss": 1.5547,
|
3453 |
+
"step": 15252
|
3454 |
+
}
|
3455 |
+
],
|
3456 |
+
"logging_steps": 31,
|
3457 |
+
"max_steps": 30517,
|
3458 |
+
"num_input_tokens_seen": 0,
|
3459 |
+
"num_train_epochs": 2,
|
3460 |
+
"save_steps": 3052,
|
3461 |
+
"stateful_callbacks": {
|
3462 |
+
"TrainerControl": {
|
3463 |
+
"args": {
|
3464 |
+
"should_epoch_stop": false,
|
3465 |
+
"should_evaluate": false,
|
3466 |
+
"should_log": false,
|
3467 |
+
"should_save": true,
|
3468 |
+
"should_training_stop": false
|
3469 |
+
},
|
3470 |
+
"attributes": {}
|
3471 |
+
}
|
3472 |
+
},
|
3473 |
+
"total_flos": 1.1319725270111355e+19,
|
3474 |
+
"train_batch_size": 8,
|
3475 |
+
"trial_name": null,
|
3476 |
+
"trial_params": null
|
3477 |
+
}
|
checkpoint-15260/training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:302cac6bc00d87f6c817113f3074af210729435b710bdeed411138aae3385920
|
3 |
+
size 5304
|
checkpoint-18312/config.json
ADDED
@@ -0,0 +1,39 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"_name_or_path": "/mnt/parscratch/users/acp23ay/private/models/Llama-3.1-8B-Instruct-gu-madlad-mean/",
|
3 |
+
"architectures": [
|
4 |
+
"LlamaForCausalLM"
|
5 |
+
],
|
6 |
+
"attention_bias": false,
|
7 |
+
"attention_dropout": 0.0,
|
8 |
+
"bos_token_id": 128000,
|
9 |
+
"eos_token_id": [
|
10 |
+
128001,
|
11 |
+
128008,
|
12 |
+
128009
|
13 |
+
],
|
14 |
+
"hidden_act": "silu",
|
15 |
+
"hidden_size": 4096,
|
16 |
+
"initializer_range": 0.02,
|
17 |
+
"intermediate_size": 14336,
|
18 |
+
"max_position_embeddings": 131072,
|
19 |
+
"mlp_bias": false,
|
20 |
+
"model_type": "llama",
|
21 |
+
"num_attention_heads": 32,
|
22 |
+
"num_hidden_layers": 32,
|
23 |
+
"num_key_value_heads": 8,
|
24 |
+
"pretraining_tp": 1,
|
25 |
+
"rms_norm_eps": 1e-05,
|
26 |
+
"rope_scaling": {
|
27 |
+
"factor": 8.0,
|
28 |
+
"high_freq_factor": 4.0,
|
29 |
+
"low_freq_factor": 1.0,
|
30 |
+
"original_max_position_embeddings": 8192,
|
31 |
+
"rope_type": "llama3"
|
32 |
+
},
|
33 |
+
"rope_theta": 500000.0,
|
34 |
+
"tie_word_embeddings": false,
|
35 |
+
"torch_dtype": "float32",
|
36 |
+
"transformers_version": "4.44.0.dev0",
|
37 |
+
"use_cache": true,
|
38 |
+
"vocab_size": 138256
|
39 |
+
}
|
checkpoint-18312/generation_config.json
ADDED
@@ -0,0 +1,12 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"bos_token_id": 128000,
|
3 |
+
"do_sample": true,
|
4 |
+
"eos_token_id": [
|
5 |
+
128001,
|
6 |
+
128008,
|
7 |
+
128009
|
8 |
+
],
|
9 |
+
"temperature": 0.6,
|
10 |
+
"top_p": 0.9,
|
11 |
+
"transformers_version": "4.44.0.dev0"
|
12 |
+
}
|
checkpoint-18312/model-00001-of-00007.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:820370f31c37e7b2060189d26f94b9f6165c96207ca32094f388708752278940
|
3 |
+
size 4983197184
|
checkpoint-18312/model-00002-of-00007.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:168629c67732309d49f60a5ec48a6d160212bc987365e82e183dfbf74ba0c1f3
|
3 |
+
size 4899116432
|
checkpoint-18312/model-00003-of-00007.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:1a223e87240e50dfb05634ea909cf1ec715d37a12b681b14a3a6e97f28688f2b
|
3 |
+
size 4999813112
|
checkpoint-18312/model-00004-of-00007.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:3047d199c611c6d12b1cca780f033ad89df9c076f742674f7ac4a892ca9573b3
|
3 |
+
size 4999813128
|
checkpoint-18312/model-00005-of-00007.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:0a2f91d749d664ecd22c71f3d54488966fc6899a03924b8fea3613c8f83398a8
|
3 |
+
size 4832007496
|
checkpoint-18312/model-00006-of-00007.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:7d4765816ecf8913b7a7566f63b472d3214ad2258990eacac3cfe3479de8b1a9
|
3 |
+
size 4999813120
|
checkpoint-18312/model-00007-of-00007.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:1e2e6ca923e9e3c8735f2dbe22eaa0cd0a32cac4d2d7317f0024d5728b6479cb
|
3 |
+
size 2734998184
|
checkpoint-18312/model.safetensors.index.json
ADDED
@@ -0,0 +1,298 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"metadata": {
|
3 |
+
"total_size": 32448724992
|
4 |
+
},
|
5 |
+
"weight_map": {
|
6 |
+
"lm_head.weight": "model-00007-of-00007.safetensors",
|
7 |
+
"model.embed_tokens.weight": "model-00001-of-00007.safetensors",
|
8 |
+
"model.layers.0.input_layernorm.weight": "model-00001-of-00007.safetensors",
|
9 |
+
"model.layers.0.mlp.down_proj.weight": "model-00001-of-00007.safetensors",
|
10 |
+
"model.layers.0.mlp.gate_proj.weight": "model-00001-of-00007.safetensors",
|
11 |
+
"model.layers.0.mlp.up_proj.weight": "model-00001-of-00007.safetensors",
|
12 |
+
"model.layers.0.post_attention_layernorm.weight": "model-00001-of-00007.safetensors",
|
13 |
+
"model.layers.0.self_attn.k_proj.weight": "model-00001-of-00007.safetensors",
|
14 |
+
"model.layers.0.self_attn.o_proj.weight": "model-00001-of-00007.safetensors",
|
15 |
+
"model.layers.0.self_attn.q_proj.weight": "model-00001-of-00007.safetensors",
|
16 |
+
"model.layers.0.self_attn.v_proj.weight": "model-00001-of-00007.safetensors",
|
17 |
+
"model.layers.1.input_layernorm.weight": "model-00001-of-00007.safetensors",
|
18 |
+
"model.layers.1.mlp.down_proj.weight": "model-00001-of-00007.safetensors",
|
19 |
+
"model.layers.1.mlp.gate_proj.weight": "model-00001-of-00007.safetensors",
|
20 |
+
"model.layers.1.mlp.up_proj.weight": "model-00001-of-00007.safetensors",
|
21 |
+
"model.layers.1.post_attention_layernorm.weight": "model-00001-of-00007.safetensors",
|
22 |
+
"model.layers.1.self_attn.k_proj.weight": "model-00001-of-00007.safetensors",
|
23 |
+
"model.layers.1.self_attn.o_proj.weight": "model-00001-of-00007.safetensors",
|
24 |
+
"model.layers.1.self_attn.q_proj.weight": "model-00001-of-00007.safetensors",
|
25 |
+
"model.layers.1.self_attn.v_proj.weight": "model-00001-of-00007.safetensors",
|
26 |
+
"model.layers.10.input_layernorm.weight": "model-00003-of-00007.safetensors",
|
27 |
+
"model.layers.10.mlp.down_proj.weight": "model-00003-of-00007.safetensors",
|
28 |
+
"model.layers.10.mlp.gate_proj.weight": "model-00003-of-00007.safetensors",
|
29 |
+
"model.layers.10.mlp.up_proj.weight": "model-00003-of-00007.safetensors",
|
30 |
+
"model.layers.10.post_attention_layernorm.weight": "model-00003-of-00007.safetensors",
|
31 |
+
"model.layers.10.self_attn.k_proj.weight": "model-00003-of-00007.safetensors",
|
32 |
+
"model.layers.10.self_attn.o_proj.weight": "model-00003-of-00007.safetensors",
|
33 |
+
"model.layers.10.self_attn.q_proj.weight": "model-00003-of-00007.safetensors",
|
34 |
+
"model.layers.10.self_attn.v_proj.weight": "model-00003-of-00007.safetensors",
|
35 |
+
"model.layers.11.input_layernorm.weight": "model-00003-of-00007.safetensors",
|
36 |
+
"model.layers.11.mlp.down_proj.weight": "model-00003-of-00007.safetensors",
|
37 |
+
"model.layers.11.mlp.gate_proj.weight": "model-00003-of-00007.safetensors",
|
38 |
+
"model.layers.11.mlp.up_proj.weight": "model-00003-of-00007.safetensors",
|
39 |
+
"model.layers.11.post_attention_layernorm.weight": "model-00003-of-00007.safetensors",
|
40 |
+
"model.layers.11.self_attn.k_proj.weight": "model-00003-of-00007.safetensors",
|
41 |
+
"model.layers.11.self_attn.o_proj.weight": "model-00003-of-00007.safetensors",
|
42 |
+
"model.layers.11.self_attn.q_proj.weight": "model-00003-of-00007.safetensors",
|
43 |
+
"model.layers.11.self_attn.v_proj.weight": "model-00003-of-00007.safetensors",
|
44 |
+
"model.layers.12.input_layernorm.weight": "model-00003-of-00007.safetensors",
|
45 |
+
"model.layers.12.mlp.down_proj.weight": "model-00003-of-00007.safetensors",
|
46 |
+
"model.layers.12.mlp.gate_proj.weight": "model-00003-of-00007.safetensors",
|
47 |
+
"model.layers.12.mlp.up_proj.weight": "model-00003-of-00007.safetensors",
|
48 |
+
"model.layers.12.post_attention_layernorm.weight": "model-00003-of-00007.safetensors",
|
49 |
+
"model.layers.12.self_attn.k_proj.weight": "model-00003-of-00007.safetensors",
|
50 |
+
"model.layers.12.self_attn.o_proj.weight": "model-00003-of-00007.safetensors",
|
51 |
+
"model.layers.12.self_attn.q_proj.weight": "model-00003-of-00007.safetensors",
|
52 |
+
"model.layers.12.self_attn.v_proj.weight": "model-00003-of-00007.safetensors",
|
53 |
+
"model.layers.13.input_layernorm.weight": "model-00003-of-00007.safetensors",
|
54 |
+
"model.layers.13.mlp.down_proj.weight": "model-00003-of-00007.safetensors",
|
55 |
+
"model.layers.13.mlp.gate_proj.weight": "model-00003-of-00007.safetensors",
|
56 |
+
"model.layers.13.mlp.up_proj.weight": "model-00003-of-00007.safetensors",
|
57 |
+
"model.layers.13.post_attention_layernorm.weight": "model-00003-of-00007.safetensors",
|
58 |
+
"model.layers.13.self_attn.k_proj.weight": "model-00003-of-00007.safetensors",
|
59 |
+
"model.layers.13.self_attn.o_proj.weight": "model-00003-of-00007.safetensors",
|
60 |
+
"model.layers.13.self_attn.q_proj.weight": "model-00003-of-00007.safetensors",
|
61 |
+
"model.layers.13.self_attn.v_proj.weight": "model-00003-of-00007.safetensors",
|
62 |
+
"model.layers.14.input_layernorm.weight": "model-00004-of-00007.safetensors",
|
63 |
+
"model.layers.14.mlp.down_proj.weight": "model-00004-of-00007.safetensors",
|
64 |
+
"model.layers.14.mlp.gate_proj.weight": "model-00003-of-00007.safetensors",
|
65 |
+
"model.layers.14.mlp.up_proj.weight": "model-00004-of-00007.safetensors",
|
66 |
+
"model.layers.14.post_attention_layernorm.weight": "model-00004-of-00007.safetensors",
|
67 |
+
"model.layers.14.self_attn.k_proj.weight": "model-00003-of-00007.safetensors",
|
68 |
+
"model.layers.14.self_attn.o_proj.weight": "model-00003-of-00007.safetensors",
|
69 |
+
"model.layers.14.self_attn.q_proj.weight": "model-00003-of-00007.safetensors",
|
70 |
+
"model.layers.14.self_attn.v_proj.weight": "model-00003-of-00007.safetensors",
|
71 |
+
"model.layers.15.input_layernorm.weight": "model-00004-of-00007.safetensors",
|
72 |
+
"model.layers.15.mlp.down_proj.weight": "model-00004-of-00007.safetensors",
|
73 |
+
"model.layers.15.mlp.gate_proj.weight": "model-00004-of-00007.safetensors",
|
74 |
+
"model.layers.15.mlp.up_proj.weight": "model-00004-of-00007.safetensors",
|
75 |
+
"model.layers.15.post_attention_layernorm.weight": "model-00004-of-00007.safetensors",
|
76 |
+
"model.layers.15.self_attn.k_proj.weight": "model-00004-of-00007.safetensors",
|
77 |
+
"model.layers.15.self_attn.o_proj.weight": "model-00004-of-00007.safetensors",
|
78 |
+
"model.layers.15.self_attn.q_proj.weight": "model-00004-of-00007.safetensors",
|
79 |
+
"model.layers.15.self_attn.v_proj.weight": "model-00004-of-00007.safetensors",
|
80 |
+
"model.layers.16.input_layernorm.weight": "model-00004-of-00007.safetensors",
|
81 |
+
"model.layers.16.mlp.down_proj.weight": "model-00004-of-00007.safetensors",
|
82 |
+
"model.layers.16.mlp.gate_proj.weight": "model-00004-of-00007.safetensors",
|
83 |
+
"model.layers.16.mlp.up_proj.weight": "model-00004-of-00007.safetensors",
|
84 |
+
"model.layers.16.post_attention_layernorm.weight": "model-00004-of-00007.safetensors",
|
85 |
+
"model.layers.16.self_attn.k_proj.weight": "model-00004-of-00007.safetensors",
|
86 |
+
"model.layers.16.self_attn.o_proj.weight": "model-00004-of-00007.safetensors",
|
87 |
+
"model.layers.16.self_attn.q_proj.weight": "model-00004-of-00007.safetensors",
|
88 |
+
"model.layers.16.self_attn.v_proj.weight": "model-00004-of-00007.safetensors",
|
89 |
+
"model.layers.17.input_layernorm.weight": "model-00004-of-00007.safetensors",
|
90 |
+
"model.layers.17.mlp.down_proj.weight": "model-00004-of-00007.safetensors",
|
91 |
+
"model.layers.17.mlp.gate_proj.weight": "model-00004-of-00007.safetensors",
|
92 |
+
"model.layers.17.mlp.up_proj.weight": "model-00004-of-00007.safetensors",
|
93 |
+
"model.layers.17.post_attention_layernorm.weight": "model-00004-of-00007.safetensors",
|
94 |
+
"model.layers.17.self_attn.k_proj.weight": "model-00004-of-00007.safetensors",
|
95 |
+
"model.layers.17.self_attn.o_proj.weight": "model-00004-of-00007.safetensors",
|
96 |
+
"model.layers.17.self_attn.q_proj.weight": "model-00004-of-00007.safetensors",
|
97 |
+
"model.layers.17.self_attn.v_proj.weight": "model-00004-of-00007.safetensors",
|
98 |
+
"model.layers.18.input_layernorm.weight": "model-00004-of-00007.safetensors",
|
99 |
+
"model.layers.18.mlp.down_proj.weight": "model-00004-of-00007.safetensors",
|
100 |
+
"model.layers.18.mlp.gate_proj.weight": "model-00004-of-00007.safetensors",
|
101 |
+
"model.layers.18.mlp.up_proj.weight": "model-00004-of-00007.safetensors",
|
102 |
+
"model.layers.18.post_attention_layernorm.weight": "model-00004-of-00007.safetensors",
|
103 |
+
"model.layers.18.self_attn.k_proj.weight": "model-00004-of-00007.safetensors",
|
104 |
+
"model.layers.18.self_attn.o_proj.weight": "model-00004-of-00007.safetensors",
|
105 |
+
"model.layers.18.self_attn.q_proj.weight": "model-00004-of-00007.safetensors",
|
106 |
+
"model.layers.18.self_attn.v_proj.weight": "model-00004-of-00007.safetensors",
|
107 |
+
"model.layers.19.input_layernorm.weight": "model-00004-of-00007.safetensors",
|
108 |
+
"model.layers.19.mlp.down_proj.weight": "model-00004-of-00007.safetensors",
|
109 |
+
"model.layers.19.mlp.gate_proj.weight": "model-00004-of-00007.safetensors",
|
110 |
+
"model.layers.19.mlp.up_proj.weight": "model-00004-of-00007.safetensors",
|
111 |
+
"model.layers.19.post_attention_layernorm.weight": "model-00004-of-00007.safetensors",
|
112 |
+
"model.layers.19.self_attn.k_proj.weight": "model-00004-of-00007.safetensors",
|
113 |
+
"model.layers.19.self_attn.o_proj.weight": "model-00004-of-00007.safetensors",
|
114 |
+
"model.layers.19.self_attn.q_proj.weight": "model-00004-of-00007.safetensors",
|
115 |
+
"model.layers.19.self_attn.v_proj.weight": "model-00004-of-00007.safetensors",
|
116 |
+
"model.layers.2.input_layernorm.weight": "model-00001-of-00007.safetensors",
|
117 |
+
"model.layers.2.mlp.down_proj.weight": "model-00001-of-00007.safetensors",
|
118 |
+
"model.layers.2.mlp.gate_proj.weight": "model-00001-of-00007.safetensors",
|
119 |
+
"model.layers.2.mlp.up_proj.weight": "model-00001-of-00007.safetensors",
|
120 |
+
"model.layers.2.post_attention_layernorm.weight": "model-00001-of-00007.safetensors",
|
121 |
+
"model.layers.2.self_attn.k_proj.weight": "model-00001-of-00007.safetensors",
|
122 |
+
"model.layers.2.self_attn.o_proj.weight": "model-00001-of-00007.safetensors",
|
123 |
+
"model.layers.2.self_attn.q_proj.weight": "model-00001-of-00007.safetensors",
|
124 |
+
"model.layers.2.self_attn.v_proj.weight": "model-00001-of-00007.safetensors",
|
125 |
+
"model.layers.20.input_layernorm.weight": "model-00005-of-00007.safetensors",
|
126 |
+
"model.layers.20.mlp.down_proj.weight": "model-00005-of-00007.safetensors",
|
127 |
+
"model.layers.20.mlp.gate_proj.weight": "model-00005-of-00007.safetensors",
|
128 |
+
"model.layers.20.mlp.up_proj.weight": "model-00005-of-00007.safetensors",
|
129 |
+
"model.layers.20.post_attention_layernorm.weight": "model-00005-of-00007.safetensors",
|
130 |
+
"model.layers.20.self_attn.k_proj.weight": "model-00004-of-00007.safetensors",
|
131 |
+
"model.layers.20.self_attn.o_proj.weight": "model-00004-of-00007.safetensors",
|
132 |
+
"model.layers.20.self_attn.q_proj.weight": "model-00004-of-00007.safetensors",
|
133 |
+
"model.layers.20.self_attn.v_proj.weight": "model-00004-of-00007.safetensors",
|
134 |
+
"model.layers.21.input_layernorm.weight": "model-00005-of-00007.safetensors",
|
135 |
+
"model.layers.21.mlp.down_proj.weight": "model-00005-of-00007.safetensors",
|
136 |
+
"model.layers.21.mlp.gate_proj.weight": "model-00005-of-00007.safetensors",
|
137 |
+
"model.layers.21.mlp.up_proj.weight": "model-00005-of-00007.safetensors",
|
138 |
+
"model.layers.21.post_attention_layernorm.weight": "model-00005-of-00007.safetensors",
|
139 |
+
"model.layers.21.self_attn.k_proj.weight": "model-00005-of-00007.safetensors",
|
140 |
+
"model.layers.21.self_attn.o_proj.weight": "model-00005-of-00007.safetensors",
|
141 |
+
"model.layers.21.self_attn.q_proj.weight": "model-00005-of-00007.safetensors",
|
142 |
+
"model.layers.21.self_attn.v_proj.weight": "model-00005-of-00007.safetensors",
|
143 |
+
"model.layers.22.input_layernorm.weight": "model-00005-of-00007.safetensors",
|
144 |
+
"model.layers.22.mlp.down_proj.weight": "model-00005-of-00007.safetensors",
|
145 |
+
"model.layers.22.mlp.gate_proj.weight": "model-00005-of-00007.safetensors",
|
146 |
+
"model.layers.22.mlp.up_proj.weight": "model-00005-of-00007.safetensors",
|
147 |
+
"model.layers.22.post_attention_layernorm.weight": "model-00005-of-00007.safetensors",
|
148 |
+
"model.layers.22.self_attn.k_proj.weight": "model-00005-of-00007.safetensors",
|
149 |
+
"model.layers.22.self_attn.o_proj.weight": "model-00005-of-00007.safetensors",
|
150 |
+
"model.layers.22.self_attn.q_proj.weight": "model-00005-of-00007.safetensors",
|
151 |
+
"model.layers.22.self_attn.v_proj.weight": "model-00005-of-00007.safetensors",
|
152 |
+
"model.layers.23.input_layernorm.weight": "model-00005-of-00007.safetensors",
|
153 |
+
"model.layers.23.mlp.down_proj.weight": "model-00005-of-00007.safetensors",
|
154 |
+
"model.layers.23.mlp.gate_proj.weight": "model-00005-of-00007.safetensors",
|
155 |
+
"model.layers.23.mlp.up_proj.weight": "model-00005-of-00007.safetensors",
|
156 |
+
"model.layers.23.post_attention_layernorm.weight": "model-00005-of-00007.safetensors",
|
157 |
+
"model.layers.23.self_attn.k_proj.weight": "model-00005-of-00007.safetensors",
|
158 |
+
"model.layers.23.self_attn.o_proj.weight": "model-00005-of-00007.safetensors",
|
159 |
+
"model.layers.23.self_attn.q_proj.weight": "model-00005-of-00007.safetensors",
|
160 |
+
"model.layers.23.self_attn.v_proj.weight": "model-00005-of-00007.safetensors",
|
161 |
+
"model.layers.24.input_layernorm.weight": "model-00005-of-00007.safetensors",
|
162 |
+
"model.layers.24.mlp.down_proj.weight": "model-00005-of-00007.safetensors",
|
163 |
+
"model.layers.24.mlp.gate_proj.weight": "model-00005-of-00007.safetensors",
|
164 |
+
"model.layers.24.mlp.up_proj.weight": "model-00005-of-00007.safetensors",
|
165 |
+
"model.layers.24.post_attention_layernorm.weight": "model-00005-of-00007.safetensors",
|
166 |
+
"model.layers.24.self_attn.k_proj.weight": "model-00005-of-00007.safetensors",
|
167 |
+
"model.layers.24.self_attn.o_proj.weight": "model-00005-of-00007.safetensors",
|
168 |
+
"model.layers.24.self_attn.q_proj.weight": "model-00005-of-00007.safetensors",
|
169 |
+
"model.layers.24.self_attn.v_proj.weight": "model-00005-of-00007.safetensors",
|
170 |
+
"model.layers.25.input_layernorm.weight": "model-00006-of-00007.safetensors",
|
171 |
+
"model.layers.25.mlp.down_proj.weight": "model-00006-of-00007.safetensors",
|
172 |
+
"model.layers.25.mlp.gate_proj.weight": "model-00005-of-00007.safetensors",
|
173 |
+
"model.layers.25.mlp.up_proj.weight": "model-00005-of-00007.safetensors",
|
174 |
+
"model.layers.25.post_attention_layernorm.weight": "model-00006-of-00007.safetensors",
|
175 |
+
"model.layers.25.self_attn.k_proj.weight": "model-00005-of-00007.safetensors",
|
176 |
+
"model.layers.25.self_attn.o_proj.weight": "model-00005-of-00007.safetensors",
|
177 |
+
"model.layers.25.self_attn.q_proj.weight": "model-00005-of-00007.safetensors",
|
178 |
+
"model.layers.25.self_attn.v_proj.weight": "model-00005-of-00007.safetensors",
|
179 |
+
"model.layers.26.input_layernorm.weight": "model-00006-of-00007.safetensors",
|
180 |
+
"model.layers.26.mlp.down_proj.weight": "model-00006-of-00007.safetensors",
|
181 |
+
"model.layers.26.mlp.gate_proj.weight": "model-00006-of-00007.safetensors",
|
182 |
+
"model.layers.26.mlp.up_proj.weight": "model-00006-of-00007.safetensors",
|
183 |
+
"model.layers.26.post_attention_layernorm.weight": "model-00006-of-00007.safetensors",
|
184 |
+
"model.layers.26.self_attn.k_proj.weight": "model-00006-of-00007.safetensors",
|
185 |
+
"model.layers.26.self_attn.o_proj.weight": "model-00006-of-00007.safetensors",
|
186 |
+
"model.layers.26.self_attn.q_proj.weight": "model-00006-of-00007.safetensors",
|
187 |
+
"model.layers.26.self_attn.v_proj.weight": "model-00006-of-00007.safetensors",
|
188 |
+
"model.layers.27.input_layernorm.weight": "model-00006-of-00007.safetensors",
|
189 |
+
"model.layers.27.mlp.down_proj.weight": "model-00006-of-00007.safetensors",
|
190 |
+
"model.layers.27.mlp.gate_proj.weight": "model-00006-of-00007.safetensors",
|
191 |
+
"model.layers.27.mlp.up_proj.weight": "model-00006-of-00007.safetensors",
|
192 |
+
"model.layers.27.post_attention_layernorm.weight": "model-00006-of-00007.safetensors",
|
193 |
+
"model.layers.27.self_attn.k_proj.weight": "model-00006-of-00007.safetensors",
|
194 |
+
"model.layers.27.self_attn.o_proj.weight": "model-00006-of-00007.safetensors",
|
195 |
+
"model.layers.27.self_attn.q_proj.weight": "model-00006-of-00007.safetensors",
|
196 |
+
"model.layers.27.self_attn.v_proj.weight": "model-00006-of-00007.safetensors",
|
197 |
+
"model.layers.28.input_layernorm.weight": "model-00006-of-00007.safetensors",
|
198 |
+
"model.layers.28.mlp.down_proj.weight": "model-00006-of-00007.safetensors",
|
199 |
+
"model.layers.28.mlp.gate_proj.weight": "model-00006-of-00007.safetensors",
|
200 |
+
"model.layers.28.mlp.up_proj.weight": "model-00006-of-00007.safetensors",
|
201 |
+
"model.layers.28.post_attention_layernorm.weight": "model-00006-of-00007.safetensors",
|
202 |
+
"model.layers.28.self_attn.k_proj.weight": "model-00006-of-00007.safetensors",
|
203 |
+
"model.layers.28.self_attn.o_proj.weight": "model-00006-of-00007.safetensors",
|
204 |
+
"model.layers.28.self_attn.q_proj.weight": "model-00006-of-00007.safetensors",
|
205 |
+
"model.layers.28.self_attn.v_proj.weight": "model-00006-of-00007.safetensors",
|
206 |
+
"model.layers.29.input_layernorm.weight": "model-00006-of-00007.safetensors",
|
207 |
+
"model.layers.29.mlp.down_proj.weight": "model-00006-of-00007.safetensors",
|
208 |
+
"model.layers.29.mlp.gate_proj.weight": "model-00006-of-00007.safetensors",
|
209 |
+
"model.layers.29.mlp.up_proj.weight": "model-00006-of-00007.safetensors",
|
210 |
+
"model.layers.29.post_attention_layernorm.weight": "model-00006-of-00007.safetensors",
|
211 |
+
"model.layers.29.self_attn.k_proj.weight": "model-00006-of-00007.safetensors",
|
212 |
+
"model.layers.29.self_attn.o_proj.weight": "model-00006-of-00007.safetensors",
|
213 |
+
"model.layers.29.self_attn.q_proj.weight": "model-00006-of-00007.safetensors",
|
214 |
+
"model.layers.29.self_attn.v_proj.weight": "model-00006-of-00007.safetensors",
|
215 |
+
"model.layers.3.input_layernorm.weight": "model-00002-of-00007.safetensors",
|
216 |
+
"model.layers.3.mlp.down_proj.weight": "model-00002-of-00007.safetensors",
|
217 |
+
"model.layers.3.mlp.gate_proj.weight": "model-00002-of-00007.safetensors",
|
218 |
+
"model.layers.3.mlp.up_proj.weight": "model-00002-of-00007.safetensors",
|
219 |
+
"model.layers.3.post_attention_layernorm.weight": "model-00002-of-00007.safetensors",
|
220 |
+
"model.layers.3.self_attn.k_proj.weight": "model-00001-of-00007.safetensors",
|
221 |
+
"model.layers.3.self_attn.o_proj.weight": "model-00002-of-00007.safetensors",
|
222 |
+
"model.layers.3.self_attn.q_proj.weight": "model-00001-of-00007.safetensors",
|
223 |
+
"model.layers.3.self_attn.v_proj.weight": "model-00001-of-00007.safetensors",
|
224 |
+
"model.layers.30.input_layernorm.weight": "model-00006-of-00007.safetensors",
|
225 |
+
"model.layers.30.mlp.down_proj.weight": "model-00006-of-00007.safetensors",
|
226 |
+
"model.layers.30.mlp.gate_proj.weight": "model-00006-of-00007.safetensors",
|
227 |
+
"model.layers.30.mlp.up_proj.weight": "model-00006-of-00007.safetensors",
|
228 |
+
"model.layers.30.post_attention_layernorm.weight": "model-00006-of-00007.safetensors",
|
229 |
+
"model.layers.30.self_attn.k_proj.weight": "model-00006-of-00007.safetensors",
|
230 |
+
"model.layers.30.self_attn.o_proj.weight": "model-00006-of-00007.safetensors",
|
231 |
+
"model.layers.30.self_attn.q_proj.weight": "model-00006-of-00007.safetensors",
|
232 |
+
"model.layers.30.self_attn.v_proj.weight": "model-00006-of-00007.safetensors",
|
233 |
+
"model.layers.31.input_layernorm.weight": "model-00007-of-00007.safetensors",
|
234 |
+
"model.layers.31.mlp.down_proj.weight": "model-00007-of-00007.safetensors",
|
235 |
+
"model.layers.31.mlp.gate_proj.weight": "model-00006-of-00007.safetensors",
|
236 |
+
"model.layers.31.mlp.up_proj.weight": "model-00007-of-00007.safetensors",
|
237 |
+
"model.layers.31.post_attention_layernorm.weight": "model-00007-of-00007.safetensors",
|
238 |
+
"model.layers.31.self_attn.k_proj.weight": "model-00006-of-00007.safetensors",
|
239 |
+
"model.layers.31.self_attn.o_proj.weight": "model-00006-of-00007.safetensors",
|
240 |
+
"model.layers.31.self_attn.q_proj.weight": "model-00006-of-00007.safetensors",
|
241 |
+
"model.layers.31.self_attn.v_proj.weight": "model-00006-of-00007.safetensors",
|
242 |
+
"model.layers.4.input_layernorm.weight": "model-00002-of-00007.safetensors",
|
243 |
+
"model.layers.4.mlp.down_proj.weight": "model-00002-of-00007.safetensors",
|
244 |
+
"model.layers.4.mlp.gate_proj.weight": "model-00002-of-00007.safetensors",
|
245 |
+
"model.layers.4.mlp.up_proj.weight": "model-00002-of-00007.safetensors",
|
246 |
+
"model.layers.4.post_attention_layernorm.weight": "model-00002-of-00007.safetensors",
|
247 |
+
"model.layers.4.self_attn.k_proj.weight": "model-00002-of-00007.safetensors",
|
248 |
+
"model.layers.4.self_attn.o_proj.weight": "model-00002-of-00007.safetensors",
|
249 |
+
"model.layers.4.self_attn.q_proj.weight": "model-00002-of-00007.safetensors",
|
250 |
+
"model.layers.4.self_attn.v_proj.weight": "model-00002-of-00007.safetensors",
|
251 |
+
"model.layers.5.input_layernorm.weight": "model-00002-of-00007.safetensors",
|
252 |
+
"model.layers.5.mlp.down_proj.weight": "model-00002-of-00007.safetensors",
|
253 |
+
"model.layers.5.mlp.gate_proj.weight": "model-00002-of-00007.safetensors",
|
254 |
+
"model.layers.5.mlp.up_proj.weight": "model-00002-of-00007.safetensors",
|
255 |
+
"model.layers.5.post_attention_layernorm.weight": "model-00002-of-00007.safetensors",
|
256 |
+
"model.layers.5.self_attn.k_proj.weight": "model-00002-of-00007.safetensors",
|
257 |
+
"model.layers.5.self_attn.o_proj.weight": "model-00002-of-00007.safetensors",
|
258 |
+
"model.layers.5.self_attn.q_proj.weight": "model-00002-of-00007.safetensors",
|
259 |
+
"model.layers.5.self_attn.v_proj.weight": "model-00002-of-00007.safetensors",
|
260 |
+
"model.layers.6.input_layernorm.weight": "model-00002-of-00007.safetensors",
|
261 |
+
"model.layers.6.mlp.down_proj.weight": "model-00002-of-00007.safetensors",
|
262 |
+
"model.layers.6.mlp.gate_proj.weight": "model-00002-of-00007.safetensors",
|
263 |
+
"model.layers.6.mlp.up_proj.weight": "model-00002-of-00007.safetensors",
|
264 |
+
"model.layers.6.post_attention_layernorm.weight": "model-00002-of-00007.safetensors",
|
265 |
+
"model.layers.6.self_attn.k_proj.weight": "model-00002-of-00007.safetensors",
|
266 |
+
"model.layers.6.self_attn.o_proj.weight": "model-00002-of-00007.safetensors",
|
267 |
+
"model.layers.6.self_attn.q_proj.weight": "model-00002-of-00007.safetensors",
|
268 |
+
"model.layers.6.self_attn.v_proj.weight": "model-00002-of-00007.safetensors",
|
269 |
+
"model.layers.7.input_layernorm.weight": "model-00002-of-00007.safetensors",
|
270 |
+
"model.layers.7.mlp.down_proj.weight": "model-00002-of-00007.safetensors",
|
271 |
+
"model.layers.7.mlp.gate_proj.weight": "model-00002-of-00007.safetensors",
|
272 |
+
"model.layers.7.mlp.up_proj.weight": "model-00002-of-00007.safetensors",
|
273 |
+
"model.layers.7.post_attention_layernorm.weight": "model-00002-of-00007.safetensors",
|
274 |
+
"model.layers.7.self_attn.k_proj.weight": "model-00002-of-00007.safetensors",
|
275 |
+
"model.layers.7.self_attn.o_proj.weight": "model-00002-of-00007.safetensors",
|
276 |
+
"model.layers.7.self_attn.q_proj.weight": "model-00002-of-00007.safetensors",
|
277 |
+
"model.layers.7.self_attn.v_proj.weight": "model-00002-of-00007.safetensors",
|
278 |
+
"model.layers.8.input_layernorm.weight": "model-00003-of-00007.safetensors",
|
279 |
+
"model.layers.8.mlp.down_proj.weight": "model-00003-of-00007.safetensors",
|
280 |
+
"model.layers.8.mlp.gate_proj.weight": "model-00002-of-00007.safetensors",
|
281 |
+
"model.layers.8.mlp.up_proj.weight": "model-00002-of-00007.safetensors",
|
282 |
+
"model.layers.8.post_attention_layernorm.weight": "model-00003-of-00007.safetensors",
|
283 |
+
"model.layers.8.self_attn.k_proj.weight": "model-00002-of-00007.safetensors",
|
284 |
+
"model.layers.8.self_attn.o_proj.weight": "model-00002-of-00007.safetensors",
|
285 |
+
"model.layers.8.self_attn.q_proj.weight": "model-00002-of-00007.safetensors",
|
286 |
+
"model.layers.8.self_attn.v_proj.weight": "model-00002-of-00007.safetensors",
|
287 |
+
"model.layers.9.input_layernorm.weight": "model-00003-of-00007.safetensors",
|
288 |
+
"model.layers.9.mlp.down_proj.weight": "model-00003-of-00007.safetensors",
|
289 |
+
"model.layers.9.mlp.gate_proj.weight": "model-00003-of-00007.safetensors",
|
290 |
+
"model.layers.9.mlp.up_proj.weight": "model-00003-of-00007.safetensors",
|
291 |
+
"model.layers.9.post_attention_layernorm.weight": "model-00003-of-00007.safetensors",
|
292 |
+
"model.layers.9.self_attn.k_proj.weight": "model-00003-of-00007.safetensors",
|
293 |
+
"model.layers.9.self_attn.o_proj.weight": "model-00003-of-00007.safetensors",
|
294 |
+
"model.layers.9.self_attn.q_proj.weight": "model-00003-of-00007.safetensors",
|
295 |
+
"model.layers.9.self_attn.v_proj.weight": "model-00003-of-00007.safetensors",
|
296 |
+
"model.norm.weight": "model-00007-of-00007.safetensors"
|
297 |
+
}
|
298 |
+
}
|
checkpoint-18312/optimizer.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:2c916de849de54289b84553212967eb2009a89339ad571ce1f71f9688bb0e099
|
3 |
+
size 16040396334
|
checkpoint-18312/rng_state.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:9d9cd6a0487226e5bd30d1846894c82af483733ab4381b75bae9c0745e05d405
|
3 |
+
size 14244
|
checkpoint-18312/scheduler.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:a0e65c3d6f29e706fd941a38280ce5628189a6998eac6d29abbeab00ad838d00
|
3 |
+
size 1064
|
checkpoint-18312/trainer_state.json
ADDED
The diff for this file is too large to render.
See raw diff
|
|
checkpoint-18312/training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:302cac6bc00d87f6c817113f3074af210729435b710bdeed411138aae3385920
|
3 |
+
size 5304
|
checkpoint-21364/config.json
ADDED
@@ -0,0 +1,39 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"_name_or_path": "/mnt/parscratch/users/acp23ay/private/models/Llama-3.1-8B-Instruct-gu-madlad-mean/",
|
3 |
+
"architectures": [
|
4 |
+
"LlamaForCausalLM"
|
5 |
+
],
|
6 |
+
"attention_bias": false,
|
7 |
+
"attention_dropout": 0.0,
|
8 |
+
"bos_token_id": 128000,
|
9 |
+
"eos_token_id": [
|
10 |
+
128001,
|
11 |
+
128008,
|
12 |
+
128009
|
13 |
+
],
|
14 |
+
"hidden_act": "silu",
|
15 |
+
"hidden_size": 4096,
|
16 |
+
"initializer_range": 0.02,
|
17 |
+
"intermediate_size": 14336,
|
18 |
+
"max_position_embeddings": 131072,
|
19 |
+
"mlp_bias": false,
|
20 |
+
"model_type": "llama",
|
21 |
+
"num_attention_heads": 32,
|
22 |
+
"num_hidden_layers": 32,
|
23 |
+
"num_key_value_heads": 8,
|
24 |
+
"pretraining_tp": 1,
|
25 |
+
"rms_norm_eps": 1e-05,
|
26 |
+
"rope_scaling": {
|
27 |
+
"factor": 8.0,
|
28 |
+
"high_freq_factor": 4.0,
|
29 |
+
"low_freq_factor": 1.0,
|
30 |
+
"original_max_position_embeddings": 8192,
|
31 |
+
"rope_type": "llama3"
|
32 |
+
},
|
33 |
+
"rope_theta": 500000.0,
|
34 |
+
"tie_word_embeddings": false,
|
35 |
+
"torch_dtype": "float32",
|
36 |
+
"transformers_version": "4.44.0.dev0",
|
37 |
+
"use_cache": true,
|
38 |
+
"vocab_size": 138256
|
39 |
+
}
|
checkpoint-21364/generation_config.json
ADDED
@@ -0,0 +1,12 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"bos_token_id": 128000,
|
3 |
+
"do_sample": true,
|
4 |
+
"eos_token_id": [
|
5 |
+
128001,
|
6 |
+
128008,
|
7 |
+
128009
|
8 |
+
],
|
9 |
+
"temperature": 0.6,
|
10 |
+
"top_p": 0.9,
|
11 |
+
"transformers_version": "4.44.0.dev0"
|
12 |
+
}
|
checkpoint-21364/model-00001-of-00007.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:c2a421aa1d64b3d5a7553eeeb1f06f18bf3882cec251bd92b0058372780febaa
|
3 |
+
size 4983197184
|
checkpoint-21364/model-00002-of-00007.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:168629c67732309d49f60a5ec48a6d160212bc987365e82e183dfbf74ba0c1f3
|
3 |
+
size 4899116432
|
checkpoint-21364/model-00003-of-00007.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:1a223e87240e50dfb05634ea909cf1ec715d37a12b681b14a3a6e97f28688f2b
|
3 |
+
size 4999813112
|