Upload folder using huggingface_hub
Browse filesThis view is limited to 50 files because it contains too many changes.
See raw diff
- added_tokens.json +13 -0
- all_results.json +24 -0
- checkpoint-12/added_tokens.json +13 -0
- checkpoint-12/config.json +36 -0
- checkpoint-12/generation_config.json +11 -0
- checkpoint-12/model-00001-of-00002.safetensors +3 -0
- checkpoint-12/model-00002-of-00002.safetensors +3 -0
- checkpoint-12/model.safetensors.index.json +202 -0
- checkpoint-12/special_tokens_map.json +30 -0
- checkpoint-12/tokenizer.json +0 -0
- checkpoint-12/tokenizer_config.json +131 -0
- checkpoint-12/trainer_state.json +237 -0
- checkpoint-24/added_tokens.json +13 -0
- checkpoint-24/config.json +36 -0
- checkpoint-24/generation_config.json +11 -0
- checkpoint-24/model-00001-of-00002.safetensors +3 -0
- checkpoint-24/model-00002-of-00002.safetensors +3 -0
- checkpoint-24/model.safetensors.index.json +202 -0
- checkpoint-24/special_tokens_map.json +30 -0
- checkpoint-24/tokenizer.json +0 -0
- checkpoint-24/tokenizer_config.json +131 -0
- checkpoint-24/trainer_state.json +441 -0
- checkpoint-36/added_tokens.json +13 -0
- checkpoint-36/config.json +36 -0
- checkpoint-36/generation_config.json +11 -0
- checkpoint-36/model-00001-of-00002.safetensors +3 -0
- checkpoint-36/model-00002-of-00002.safetensors +3 -0
- checkpoint-36/model.safetensors.index.json +202 -0
- checkpoint-36/special_tokens_map.json +30 -0
- checkpoint-36/tokenizer.json +0 -0
- checkpoint-36/tokenizer_config.json +131 -0
- checkpoint-36/trainer_state.json +645 -0
- checkpoint-48/added_tokens.json +13 -0
- checkpoint-48/config.json +36 -0
- checkpoint-48/generation_config.json +11 -0
- checkpoint-48/model-00001-of-00002.safetensors +3 -0
- checkpoint-48/model-00002-of-00002.safetensors +3 -0
- checkpoint-48/model.safetensors.index.json +202 -0
- checkpoint-48/special_tokens_map.json +30 -0
- checkpoint-48/tokenizer.json +0 -0
- checkpoint-48/tokenizer_config.json +131 -0
- checkpoint-48/trainer_state.json +849 -0
- checkpoint-60/added_tokens.json +13 -0
- checkpoint-60/config.json +36 -0
- checkpoint-60/generation_config.json +11 -0
- checkpoint-60/model-00001-of-00002.safetensors +3 -0
- checkpoint-60/model-00002-of-00002.safetensors +3 -0
- checkpoint-60/model.safetensors.index.json +202 -0
- checkpoint-60/special_tokens_map.json +30 -0
- checkpoint-60/tokenizer.json +0 -0
added_tokens.json
ADDED
@@ -0,0 +1,13 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"<|assistant|>": 32001,
|
3 |
+
"<|endoftext|>": 32000,
|
4 |
+
"<|end|>": 32007,
|
5 |
+
"<|placeholder1|>": 32002,
|
6 |
+
"<|placeholder2|>": 32003,
|
7 |
+
"<|placeholder3|>": 32004,
|
8 |
+
"<|placeholder4|>": 32005,
|
9 |
+
"<|placeholder5|>": 32008,
|
10 |
+
"<|placeholder6|>": 32009,
|
11 |
+
"<|system|>": 32006,
|
12 |
+
"<|user|>": 32010
|
13 |
+
}
|
all_results.json
ADDED
@@ -0,0 +1,24 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 0.9880609304240429,
|
3 |
+
"eval_logits/chosen": 9.238293647766113,
|
4 |
+
"eval_logits/rejected": 10.049151420593262,
|
5 |
+
"eval_logps/chosen": -114.94315338134766,
|
6 |
+
"eval_logps/ref_chosen": -106.16099548339844,
|
7 |
+
"eval_logps/ref_rejected": -119.78473663330078,
|
8 |
+
"eval_logps/rejected": -129.38494873046875,
|
9 |
+
"eval_loss": 0.6894497275352478,
|
10 |
+
"eval_rewards/accuracies": 0.5833333134651184,
|
11 |
+
"eval_rewards/chosen": -0.08782169967889786,
|
12 |
+
"eval_rewards/margins": 0.008180392906069756,
|
13 |
+
"eval_rewards/rejected": -0.09600208699703217,
|
14 |
+
"eval_runtime": 152.328,
|
15 |
+
"eval_samples": 1080,
|
16 |
+
"eval_samples_per_second": 7.09,
|
17 |
+
"eval_steps_per_second": 1.772,
|
18 |
+
"total_flos": 0.0,
|
19 |
+
"train_loss": 0.6920125889778137,
|
20 |
+
"train_runtime": 8059.7946,
|
21 |
+
"train_samples": 9715,
|
22 |
+
"train_samples_per_second": 1.205,
|
23 |
+
"train_steps_per_second": 0.009
|
24 |
+
}
|
checkpoint-12/added_tokens.json
ADDED
@@ -0,0 +1,13 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"<|assistant|>": 32001,
|
3 |
+
"<|endoftext|>": 32000,
|
4 |
+
"<|end|>": 32007,
|
5 |
+
"<|placeholder1|>": 32002,
|
6 |
+
"<|placeholder2|>": 32003,
|
7 |
+
"<|placeholder3|>": 32004,
|
8 |
+
"<|placeholder4|>": 32005,
|
9 |
+
"<|placeholder5|>": 32008,
|
10 |
+
"<|placeholder6|>": 32009,
|
11 |
+
"<|system|>": 32006,
|
12 |
+
"<|user|>": 32010
|
13 |
+
}
|
checkpoint-12/config.json
ADDED
@@ -0,0 +1,36 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"_name_or_path": "/home/v-liuzichuan/huggingface/Phi-3-mini-4k-instruct",
|
3 |
+
"architectures": [
|
4 |
+
"Phi3ForCausalLM"
|
5 |
+
],
|
6 |
+
"attention_bias": false,
|
7 |
+
"attention_dropout": 0.0,
|
8 |
+
"auto_map": {
|
9 |
+
"AutoConfig": "configuration_phi3.Phi3Config",
|
10 |
+
"AutoModelForCausalLM": "modeling_phi3.Phi3ForCausalLM"
|
11 |
+
},
|
12 |
+
"bos_token_id": 1,
|
13 |
+
"embd_pdrop": 0.0,
|
14 |
+
"eos_token_id": 32000,
|
15 |
+
"hidden_act": "silu",
|
16 |
+
"hidden_size": 3072,
|
17 |
+
"initializer_range": 0.02,
|
18 |
+
"intermediate_size": 8192,
|
19 |
+
"max_position_embeddings": 4096,
|
20 |
+
"model_type": "phi3",
|
21 |
+
"num_attention_heads": 32,
|
22 |
+
"num_hidden_layers": 32,
|
23 |
+
"num_key_value_heads": 32,
|
24 |
+
"original_max_position_embeddings": 4096,
|
25 |
+
"pad_token_id": 32000,
|
26 |
+
"resid_pdrop": 0.0,
|
27 |
+
"rms_norm_eps": 1e-05,
|
28 |
+
"rope_scaling": null,
|
29 |
+
"rope_theta": 10000.0,
|
30 |
+
"sliding_window": 2047,
|
31 |
+
"tie_word_embeddings": false,
|
32 |
+
"torch_dtype": "bfloat16",
|
33 |
+
"transformers_version": "4.45.2",
|
34 |
+
"use_cache": false,
|
35 |
+
"vocab_size": 32064
|
36 |
+
}
|
checkpoint-12/generation_config.json
ADDED
@@ -0,0 +1,11 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"_from_model_config": true,
|
3 |
+
"bos_token_id": 1,
|
4 |
+
"eos_token_id": [
|
5 |
+
32000,
|
6 |
+
32001,
|
7 |
+
32007
|
8 |
+
],
|
9 |
+
"pad_token_id": 32000,
|
10 |
+
"transformers_version": "4.45.2"
|
11 |
+
}
|
checkpoint-12/model-00001-of-00002.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:c7750ca147640cbe026817393ba508335bd1e7268107cfb044d48d16e3287867
|
3 |
+
size 4972489328
|
checkpoint-12/model-00002-of-00002.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:1a0e9dda0d4a032e682fbdd0ded41d4b77130ba40c48e886f014f851f7be94f2
|
3 |
+
size 2669692552
|
checkpoint-12/model.safetensors.index.json
ADDED
@@ -0,0 +1,202 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"metadata": {
|
3 |
+
"total_size": 7642159104
|
4 |
+
},
|
5 |
+
"weight_map": {
|
6 |
+
"lm_head.weight": "model-00002-of-00002.safetensors",
|
7 |
+
"model.embed_tokens.weight": "model-00001-of-00002.safetensors",
|
8 |
+
"model.layers.0.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
9 |
+
"model.layers.0.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
10 |
+
"model.layers.0.mlp.gate_up_proj.weight": "model-00001-of-00002.safetensors",
|
11 |
+
"model.layers.0.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
12 |
+
"model.layers.0.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
13 |
+
"model.layers.0.self_attn.qkv_proj.weight": "model-00001-of-00002.safetensors",
|
14 |
+
"model.layers.1.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
15 |
+
"model.layers.1.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
16 |
+
"model.layers.1.mlp.gate_up_proj.weight": "model-00001-of-00002.safetensors",
|
17 |
+
"model.layers.1.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
18 |
+
"model.layers.1.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
19 |
+
"model.layers.1.self_attn.qkv_proj.weight": "model-00001-of-00002.safetensors",
|
20 |
+
"model.layers.10.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
21 |
+
"model.layers.10.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
22 |
+
"model.layers.10.mlp.gate_up_proj.weight": "model-00001-of-00002.safetensors",
|
23 |
+
"model.layers.10.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
24 |
+
"model.layers.10.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
25 |
+
"model.layers.10.self_attn.qkv_proj.weight": "model-00001-of-00002.safetensors",
|
26 |
+
"model.layers.11.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
27 |
+
"model.layers.11.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
28 |
+
"model.layers.11.mlp.gate_up_proj.weight": "model-00001-of-00002.safetensors",
|
29 |
+
"model.layers.11.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
30 |
+
"model.layers.11.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
31 |
+
"model.layers.11.self_attn.qkv_proj.weight": "model-00001-of-00002.safetensors",
|
32 |
+
"model.layers.12.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
33 |
+
"model.layers.12.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
34 |
+
"model.layers.12.mlp.gate_up_proj.weight": "model-00001-of-00002.safetensors",
|
35 |
+
"model.layers.12.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
36 |
+
"model.layers.12.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
37 |
+
"model.layers.12.self_attn.qkv_proj.weight": "model-00001-of-00002.safetensors",
|
38 |
+
"model.layers.13.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
39 |
+
"model.layers.13.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
40 |
+
"model.layers.13.mlp.gate_up_proj.weight": "model-00001-of-00002.safetensors",
|
41 |
+
"model.layers.13.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
42 |
+
"model.layers.13.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
43 |
+
"model.layers.13.self_attn.qkv_proj.weight": "model-00001-of-00002.safetensors",
|
44 |
+
"model.layers.14.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
45 |
+
"model.layers.14.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
46 |
+
"model.layers.14.mlp.gate_up_proj.weight": "model-00001-of-00002.safetensors",
|
47 |
+
"model.layers.14.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
48 |
+
"model.layers.14.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
49 |
+
"model.layers.14.self_attn.qkv_proj.weight": "model-00001-of-00002.safetensors",
|
50 |
+
"model.layers.15.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
51 |
+
"model.layers.15.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
52 |
+
"model.layers.15.mlp.gate_up_proj.weight": "model-00001-of-00002.safetensors",
|
53 |
+
"model.layers.15.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
54 |
+
"model.layers.15.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
55 |
+
"model.layers.15.self_attn.qkv_proj.weight": "model-00001-of-00002.safetensors",
|
56 |
+
"model.layers.16.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
57 |
+
"model.layers.16.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
58 |
+
"model.layers.16.mlp.gate_up_proj.weight": "model-00001-of-00002.safetensors",
|
59 |
+
"model.layers.16.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
60 |
+
"model.layers.16.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
61 |
+
"model.layers.16.self_attn.qkv_proj.weight": "model-00001-of-00002.safetensors",
|
62 |
+
"model.layers.17.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
63 |
+
"model.layers.17.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
64 |
+
"model.layers.17.mlp.gate_up_proj.weight": "model-00001-of-00002.safetensors",
|
65 |
+
"model.layers.17.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
66 |
+
"model.layers.17.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
67 |
+
"model.layers.17.self_attn.qkv_proj.weight": "model-00001-of-00002.safetensors",
|
68 |
+
"model.layers.18.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
69 |
+
"model.layers.18.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
70 |
+
"model.layers.18.mlp.gate_up_proj.weight": "model-00001-of-00002.safetensors",
|
71 |
+
"model.layers.18.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
72 |
+
"model.layers.18.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
73 |
+
"model.layers.18.self_attn.qkv_proj.weight": "model-00001-of-00002.safetensors",
|
74 |
+
"model.layers.19.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
75 |
+
"model.layers.19.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
76 |
+
"model.layers.19.mlp.gate_up_proj.weight": "model-00001-of-00002.safetensors",
|
77 |
+
"model.layers.19.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
78 |
+
"model.layers.19.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
79 |
+
"model.layers.19.self_attn.qkv_proj.weight": "model-00001-of-00002.safetensors",
|
80 |
+
"model.layers.2.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
81 |
+
"model.layers.2.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
82 |
+
"model.layers.2.mlp.gate_up_proj.weight": "model-00001-of-00002.safetensors",
|
83 |
+
"model.layers.2.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
84 |
+
"model.layers.2.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
85 |
+
"model.layers.2.self_attn.qkv_proj.weight": "model-00001-of-00002.safetensors",
|
86 |
+
"model.layers.20.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
87 |
+
"model.layers.20.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
88 |
+
"model.layers.20.mlp.gate_up_proj.weight": "model-00001-of-00002.safetensors",
|
89 |
+
"model.layers.20.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
90 |
+
"model.layers.20.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
91 |
+
"model.layers.20.self_attn.qkv_proj.weight": "model-00001-of-00002.safetensors",
|
92 |
+
"model.layers.21.input_layernorm.weight": "model-00002-of-00002.safetensors",
|
93 |
+
"model.layers.21.mlp.down_proj.weight": "model-00002-of-00002.safetensors",
|
94 |
+
"model.layers.21.mlp.gate_up_proj.weight": "model-00002-of-00002.safetensors",
|
95 |
+
"model.layers.21.post_attention_layernorm.weight": "model-00002-of-00002.safetensors",
|
96 |
+
"model.layers.21.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
97 |
+
"model.layers.21.self_attn.qkv_proj.weight": "model-00002-of-00002.safetensors",
|
98 |
+
"model.layers.22.input_layernorm.weight": "model-00002-of-00002.safetensors",
|
99 |
+
"model.layers.22.mlp.down_proj.weight": "model-00002-of-00002.safetensors",
|
100 |
+
"model.layers.22.mlp.gate_up_proj.weight": "model-00002-of-00002.safetensors",
|
101 |
+
"model.layers.22.post_attention_layernorm.weight": "model-00002-of-00002.safetensors",
|
102 |
+
"model.layers.22.self_attn.o_proj.weight": "model-00002-of-00002.safetensors",
|
103 |
+
"model.layers.22.self_attn.qkv_proj.weight": "model-00002-of-00002.safetensors",
|
104 |
+
"model.layers.23.input_layernorm.weight": "model-00002-of-00002.safetensors",
|
105 |
+
"model.layers.23.mlp.down_proj.weight": "model-00002-of-00002.safetensors",
|
106 |
+
"model.layers.23.mlp.gate_up_proj.weight": "model-00002-of-00002.safetensors",
|
107 |
+
"model.layers.23.post_attention_layernorm.weight": "model-00002-of-00002.safetensors",
|
108 |
+
"model.layers.23.self_attn.o_proj.weight": "model-00002-of-00002.safetensors",
|
109 |
+
"model.layers.23.self_attn.qkv_proj.weight": "model-00002-of-00002.safetensors",
|
110 |
+
"model.layers.24.input_layernorm.weight": "model-00002-of-00002.safetensors",
|
111 |
+
"model.layers.24.mlp.down_proj.weight": "model-00002-of-00002.safetensors",
|
112 |
+
"model.layers.24.mlp.gate_up_proj.weight": "model-00002-of-00002.safetensors",
|
113 |
+
"model.layers.24.post_attention_layernorm.weight": "model-00002-of-00002.safetensors",
|
114 |
+
"model.layers.24.self_attn.o_proj.weight": "model-00002-of-00002.safetensors",
|
115 |
+
"model.layers.24.self_attn.qkv_proj.weight": "model-00002-of-00002.safetensors",
|
116 |
+
"model.layers.25.input_layernorm.weight": "model-00002-of-00002.safetensors",
|
117 |
+
"model.layers.25.mlp.down_proj.weight": "model-00002-of-00002.safetensors",
|
118 |
+
"model.layers.25.mlp.gate_up_proj.weight": "model-00002-of-00002.safetensors",
|
119 |
+
"model.layers.25.post_attention_layernorm.weight": "model-00002-of-00002.safetensors",
|
120 |
+
"model.layers.25.self_attn.o_proj.weight": "model-00002-of-00002.safetensors",
|
121 |
+
"model.layers.25.self_attn.qkv_proj.weight": "model-00002-of-00002.safetensors",
|
122 |
+
"model.layers.26.input_layernorm.weight": "model-00002-of-00002.safetensors",
|
123 |
+
"model.layers.26.mlp.down_proj.weight": "model-00002-of-00002.safetensors",
|
124 |
+
"model.layers.26.mlp.gate_up_proj.weight": "model-00002-of-00002.safetensors",
|
125 |
+
"model.layers.26.post_attention_layernorm.weight": "model-00002-of-00002.safetensors",
|
126 |
+
"model.layers.26.self_attn.o_proj.weight": "model-00002-of-00002.safetensors",
|
127 |
+
"model.layers.26.self_attn.qkv_proj.weight": "model-00002-of-00002.safetensors",
|
128 |
+
"model.layers.27.input_layernorm.weight": "model-00002-of-00002.safetensors",
|
129 |
+
"model.layers.27.mlp.down_proj.weight": "model-00002-of-00002.safetensors",
|
130 |
+
"model.layers.27.mlp.gate_up_proj.weight": "model-00002-of-00002.safetensors",
|
131 |
+
"model.layers.27.post_attention_layernorm.weight": "model-00002-of-00002.safetensors",
|
132 |
+
"model.layers.27.self_attn.o_proj.weight": "model-00002-of-00002.safetensors",
|
133 |
+
"model.layers.27.self_attn.qkv_proj.weight": "model-00002-of-00002.safetensors",
|
134 |
+
"model.layers.28.input_layernorm.weight": "model-00002-of-00002.safetensors",
|
135 |
+
"model.layers.28.mlp.down_proj.weight": "model-00002-of-00002.safetensors",
|
136 |
+
"model.layers.28.mlp.gate_up_proj.weight": "model-00002-of-00002.safetensors",
|
137 |
+
"model.layers.28.post_attention_layernorm.weight": "model-00002-of-00002.safetensors",
|
138 |
+
"model.layers.28.self_attn.o_proj.weight": "model-00002-of-00002.safetensors",
|
139 |
+
"model.layers.28.self_attn.qkv_proj.weight": "model-00002-of-00002.safetensors",
|
140 |
+
"model.layers.29.input_layernorm.weight": "model-00002-of-00002.safetensors",
|
141 |
+
"model.layers.29.mlp.down_proj.weight": "model-00002-of-00002.safetensors",
|
142 |
+
"model.layers.29.mlp.gate_up_proj.weight": "model-00002-of-00002.safetensors",
|
143 |
+
"model.layers.29.post_attention_layernorm.weight": "model-00002-of-00002.safetensors",
|
144 |
+
"model.layers.29.self_attn.o_proj.weight": "model-00002-of-00002.safetensors",
|
145 |
+
"model.layers.29.self_attn.qkv_proj.weight": "model-00002-of-00002.safetensors",
|
146 |
+
"model.layers.3.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
147 |
+
"model.layers.3.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
148 |
+
"model.layers.3.mlp.gate_up_proj.weight": "model-00001-of-00002.safetensors",
|
149 |
+
"model.layers.3.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
150 |
+
"model.layers.3.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
151 |
+
"model.layers.3.self_attn.qkv_proj.weight": "model-00001-of-00002.safetensors",
|
152 |
+
"model.layers.30.input_layernorm.weight": "model-00002-of-00002.safetensors",
|
153 |
+
"model.layers.30.mlp.down_proj.weight": "model-00002-of-00002.safetensors",
|
154 |
+
"model.layers.30.mlp.gate_up_proj.weight": "model-00002-of-00002.safetensors",
|
155 |
+
"model.layers.30.post_attention_layernorm.weight": "model-00002-of-00002.safetensors",
|
156 |
+
"model.layers.30.self_attn.o_proj.weight": "model-00002-of-00002.safetensors",
|
157 |
+
"model.layers.30.self_attn.qkv_proj.weight": "model-00002-of-00002.safetensors",
|
158 |
+
"model.layers.31.input_layernorm.weight": "model-00002-of-00002.safetensors",
|
159 |
+
"model.layers.31.mlp.down_proj.weight": "model-00002-of-00002.safetensors",
|
160 |
+
"model.layers.31.mlp.gate_up_proj.weight": "model-00002-of-00002.safetensors",
|
161 |
+
"model.layers.31.post_attention_layernorm.weight": "model-00002-of-00002.safetensors",
|
162 |
+
"model.layers.31.self_attn.o_proj.weight": "model-00002-of-00002.safetensors",
|
163 |
+
"model.layers.31.self_attn.qkv_proj.weight": "model-00002-of-00002.safetensors",
|
164 |
+
"model.layers.4.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
165 |
+
"model.layers.4.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
166 |
+
"model.layers.4.mlp.gate_up_proj.weight": "model-00001-of-00002.safetensors",
|
167 |
+
"model.layers.4.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
168 |
+
"model.layers.4.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
169 |
+
"model.layers.4.self_attn.qkv_proj.weight": "model-00001-of-00002.safetensors",
|
170 |
+
"model.layers.5.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
171 |
+
"model.layers.5.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
172 |
+
"model.layers.5.mlp.gate_up_proj.weight": "model-00001-of-00002.safetensors",
|
173 |
+
"model.layers.5.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
174 |
+
"model.layers.5.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
175 |
+
"model.layers.5.self_attn.qkv_proj.weight": "model-00001-of-00002.safetensors",
|
176 |
+
"model.layers.6.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
177 |
+
"model.layers.6.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
178 |
+
"model.layers.6.mlp.gate_up_proj.weight": "model-00001-of-00002.safetensors",
|
179 |
+
"model.layers.6.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
180 |
+
"model.layers.6.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
181 |
+
"model.layers.6.self_attn.qkv_proj.weight": "model-00001-of-00002.safetensors",
|
182 |
+
"model.layers.7.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
183 |
+
"model.layers.7.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
184 |
+
"model.layers.7.mlp.gate_up_proj.weight": "model-00001-of-00002.safetensors",
|
185 |
+
"model.layers.7.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
186 |
+
"model.layers.7.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
187 |
+
"model.layers.7.self_attn.qkv_proj.weight": "model-00001-of-00002.safetensors",
|
188 |
+
"model.layers.8.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
189 |
+
"model.layers.8.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
190 |
+
"model.layers.8.mlp.gate_up_proj.weight": "model-00001-of-00002.safetensors",
|
191 |
+
"model.layers.8.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
192 |
+
"model.layers.8.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
193 |
+
"model.layers.8.self_attn.qkv_proj.weight": "model-00001-of-00002.safetensors",
|
194 |
+
"model.layers.9.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
195 |
+
"model.layers.9.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
196 |
+
"model.layers.9.mlp.gate_up_proj.weight": "model-00001-of-00002.safetensors",
|
197 |
+
"model.layers.9.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
198 |
+
"model.layers.9.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
199 |
+
"model.layers.9.self_attn.qkv_proj.weight": "model-00001-of-00002.safetensors",
|
200 |
+
"model.norm.weight": "model-00002-of-00002.safetensors"
|
201 |
+
}
|
202 |
+
}
|
checkpoint-12/special_tokens_map.json
ADDED
@@ -0,0 +1,30 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"bos_token": {
|
3 |
+
"content": "<s>",
|
4 |
+
"lstrip": false,
|
5 |
+
"normalized": false,
|
6 |
+
"rstrip": false,
|
7 |
+
"single_word": false
|
8 |
+
},
|
9 |
+
"eos_token": {
|
10 |
+
"content": "<|endoftext|>",
|
11 |
+
"lstrip": false,
|
12 |
+
"normalized": false,
|
13 |
+
"rstrip": false,
|
14 |
+
"single_word": false
|
15 |
+
},
|
16 |
+
"pad_token": {
|
17 |
+
"content": "<|endoftext|>",
|
18 |
+
"lstrip": false,
|
19 |
+
"normalized": false,
|
20 |
+
"rstrip": false,
|
21 |
+
"single_word": false
|
22 |
+
},
|
23 |
+
"unk_token": {
|
24 |
+
"content": "<unk>",
|
25 |
+
"lstrip": false,
|
26 |
+
"normalized": false,
|
27 |
+
"rstrip": false,
|
28 |
+
"single_word": false
|
29 |
+
}
|
30 |
+
}
|
checkpoint-12/tokenizer.json
ADDED
The diff for this file is too large to render.
See raw diff
|
|
checkpoint-12/tokenizer_config.json
ADDED
@@ -0,0 +1,131 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"add_bos_token": false,
|
3 |
+
"add_eos_token": false,
|
4 |
+
"add_prefix_space": null,
|
5 |
+
"added_tokens_decoder": {
|
6 |
+
"0": {
|
7 |
+
"content": "<unk>",
|
8 |
+
"lstrip": false,
|
9 |
+
"normalized": false,
|
10 |
+
"rstrip": false,
|
11 |
+
"single_word": false,
|
12 |
+
"special": true
|
13 |
+
},
|
14 |
+
"1": {
|
15 |
+
"content": "<s>",
|
16 |
+
"lstrip": false,
|
17 |
+
"normalized": false,
|
18 |
+
"rstrip": false,
|
19 |
+
"single_word": false,
|
20 |
+
"special": true
|
21 |
+
},
|
22 |
+
"2": {
|
23 |
+
"content": "</s>",
|
24 |
+
"lstrip": false,
|
25 |
+
"normalized": false,
|
26 |
+
"rstrip": true,
|
27 |
+
"single_word": false,
|
28 |
+
"special": false
|
29 |
+
},
|
30 |
+
"32000": {
|
31 |
+
"content": "<|endoftext|>",
|
32 |
+
"lstrip": false,
|
33 |
+
"normalized": false,
|
34 |
+
"rstrip": false,
|
35 |
+
"single_word": false,
|
36 |
+
"special": true
|
37 |
+
},
|
38 |
+
"32001": {
|
39 |
+
"content": "<|assistant|>",
|
40 |
+
"lstrip": false,
|
41 |
+
"normalized": false,
|
42 |
+
"rstrip": true,
|
43 |
+
"single_word": false,
|
44 |
+
"special": true
|
45 |
+
},
|
46 |
+
"32002": {
|
47 |
+
"content": "<|placeholder1|>",
|
48 |
+
"lstrip": false,
|
49 |
+
"normalized": false,
|
50 |
+
"rstrip": true,
|
51 |
+
"single_word": false,
|
52 |
+
"special": true
|
53 |
+
},
|
54 |
+
"32003": {
|
55 |
+
"content": "<|placeholder2|>",
|
56 |
+
"lstrip": false,
|
57 |
+
"normalized": false,
|
58 |
+
"rstrip": true,
|
59 |
+
"single_word": false,
|
60 |
+
"special": true
|
61 |
+
},
|
62 |
+
"32004": {
|
63 |
+
"content": "<|placeholder3|>",
|
64 |
+
"lstrip": false,
|
65 |
+
"normalized": false,
|
66 |
+
"rstrip": true,
|
67 |
+
"single_word": false,
|
68 |
+
"special": true
|
69 |
+
},
|
70 |
+
"32005": {
|
71 |
+
"content": "<|placeholder4|>",
|
72 |
+
"lstrip": false,
|
73 |
+
"normalized": false,
|
74 |
+
"rstrip": true,
|
75 |
+
"single_word": false,
|
76 |
+
"special": true
|
77 |
+
},
|
78 |
+
"32006": {
|
79 |
+
"content": "<|system|>",
|
80 |
+
"lstrip": false,
|
81 |
+
"normalized": false,
|
82 |
+
"rstrip": true,
|
83 |
+
"single_word": false,
|
84 |
+
"special": true
|
85 |
+
},
|
86 |
+
"32007": {
|
87 |
+
"content": "<|end|>",
|
88 |
+
"lstrip": false,
|
89 |
+
"normalized": false,
|
90 |
+
"rstrip": true,
|
91 |
+
"single_word": false,
|
92 |
+
"special": true
|
93 |
+
},
|
94 |
+
"32008": {
|
95 |
+
"content": "<|placeholder5|>",
|
96 |
+
"lstrip": false,
|
97 |
+
"normalized": false,
|
98 |
+
"rstrip": true,
|
99 |
+
"single_word": false,
|
100 |
+
"special": true
|
101 |
+
},
|
102 |
+
"32009": {
|
103 |
+
"content": "<|placeholder6|>",
|
104 |
+
"lstrip": false,
|
105 |
+
"normalized": false,
|
106 |
+
"rstrip": true,
|
107 |
+
"single_word": false,
|
108 |
+
"special": true
|
109 |
+
},
|
110 |
+
"32010": {
|
111 |
+
"content": "<|user|>",
|
112 |
+
"lstrip": false,
|
113 |
+
"normalized": false,
|
114 |
+
"rstrip": true,
|
115 |
+
"single_word": false,
|
116 |
+
"special": true
|
117 |
+
}
|
118 |
+
},
|
119 |
+
"bos_token": "<s>",
|
120 |
+
"chat_template": "{% for message in messages %}{% if message['role'] == 'system' %}{{'<|system|>\n' + message['content'] + '<|end|>\n'}}{% elif message['role'] == 'user' %}{{'<|user|>\n' + message['content'] + '<|end|>\n'}}{% elif message['role'] == 'assistant' %}{{'<|assistant|>\n' + message['content'] + '<|end|>\n'}}{% endif %}{% endfor %}{% if add_generation_prompt %}{{ '<|assistant|>\n' }}{% else %}{{ eos_token }}{% endif %}",
|
121 |
+
"clean_up_tokenization_spaces": false,
|
122 |
+
"eos_token": "<|endoftext|>",
|
123 |
+
"legacy": false,
|
124 |
+
"model_max_length": 4096,
|
125 |
+
"pad_token": "<|endoftext|>",
|
126 |
+
"padding_side": "left",
|
127 |
+
"sp_model_kwargs": {},
|
128 |
+
"tokenizer_class": "LlamaTokenizer",
|
129 |
+
"unk_token": "<unk>",
|
130 |
+
"use_default_system_prompt": false
|
131 |
+
}
|
checkpoint-12/trainer_state.json
ADDED
@@ -0,0 +1,237 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": null,
|
3 |
+
"best_model_checkpoint": null,
|
4 |
+
"epoch": 0.15808974886784685,
|
5 |
+
"eval_steps": 500,
|
6 |
+
"global_step": 12,
|
7 |
+
"is_hyper_param_search": false,
|
8 |
+
"is_local_process_zero": true,
|
9 |
+
"is_world_process_zero": true,
|
10 |
+
"log_history": [
|
11 |
+
{
|
12 |
+
"epoch": 0.013174145738987238,
|
13 |
+
"grad_norm": 0.39343583583831787,
|
14 |
+
"learning_rate": 6.25e-08,
|
15 |
+
"logits/chosen": 10.071717262268066,
|
16 |
+
"logits/rejected": 10.610974311828613,
|
17 |
+
"logps/chosen": -121.14067077636719,
|
18 |
+
"logps/ref_chosen": -121.14067077636719,
|
19 |
+
"logps/ref_rejected": -137.65684509277344,
|
20 |
+
"logps/rejected": -137.65684509277344,
|
21 |
+
"loss": 0.6931,
|
22 |
+
"rewards/accuracies": 0.0,
|
23 |
+
"rewards/chosen": 0.0,
|
24 |
+
"rewards/margins": 0.0,
|
25 |
+
"rewards/rejected": 0.0,
|
26 |
+
"step": 1
|
27 |
+
},
|
28 |
+
{
|
29 |
+
"epoch": 0.026348291477974475,
|
30 |
+
"grad_norm": 0.7521647214889526,
|
31 |
+
"learning_rate": 1.25e-07,
|
32 |
+
"logits/chosen": 10.222262382507324,
|
33 |
+
"logits/rejected": 10.754176139831543,
|
34 |
+
"logps/chosen": -116.48068237304688,
|
35 |
+
"logps/ref_chosen": -116.48068237304688,
|
36 |
+
"logps/ref_rejected": -130.27796936035156,
|
37 |
+
"logps/rejected": -130.27796936035156,
|
38 |
+
"loss": 0.6931,
|
39 |
+
"rewards/accuracies": 0.0,
|
40 |
+
"rewards/chosen": 0.0,
|
41 |
+
"rewards/margins": 0.0,
|
42 |
+
"rewards/rejected": 0.0,
|
43 |
+
"step": 2
|
44 |
+
},
|
45 |
+
{
|
46 |
+
"epoch": 0.03952243721696171,
|
47 |
+
"grad_norm": 0.5880491137504578,
|
48 |
+
"learning_rate": 1.875e-07,
|
49 |
+
"logits/chosen": 10.01984977722168,
|
50 |
+
"logits/rejected": 10.62405776977539,
|
51 |
+
"logps/chosen": -123.36822509765625,
|
52 |
+
"logps/ref_chosen": -122.6683349609375,
|
53 |
+
"logps/ref_rejected": -132.69850158691406,
|
54 |
+
"logps/rejected": -133.207275390625,
|
55 |
+
"loss": 0.6941,
|
56 |
+
"rewards/accuracies": 0.4453125,
|
57 |
+
"rewards/chosen": -0.006998830940574408,
|
58 |
+
"rewards/margins": -0.0019110905705019832,
|
59 |
+
"rewards/rejected": -0.005087739787995815,
|
60 |
+
"step": 3
|
61 |
+
},
|
62 |
+
{
|
63 |
+
"epoch": 0.05269658295594895,
|
64 |
+
"grad_norm": 0.4605408310890198,
|
65 |
+
"learning_rate": 2.5e-07,
|
66 |
+
"logits/chosen": 9.99990463256836,
|
67 |
+
"logits/rejected": 10.736846923828125,
|
68 |
+
"logps/chosen": -123.02133178710938,
|
69 |
+
"logps/ref_chosen": -122.59739685058594,
|
70 |
+
"logps/ref_rejected": -129.70767211914062,
|
71 |
+
"logps/rejected": -129.98374938964844,
|
72 |
+
"loss": 0.6939,
|
73 |
+
"rewards/accuracies": 0.4765625,
|
74 |
+
"rewards/chosen": -0.004239337984472513,
|
75 |
+
"rewards/margins": -0.0014785109087824821,
|
76 |
+
"rewards/rejected": -0.0027608266100287437,
|
77 |
+
"step": 4
|
78 |
+
},
|
79 |
+
{
|
80 |
+
"epoch": 0.06587072869493618,
|
81 |
+
"grad_norm": 0.469856321811676,
|
82 |
+
"learning_rate": 3.1249999999999997e-07,
|
83 |
+
"logits/chosen": 10.075482368469238,
|
84 |
+
"logits/rejected": 10.892666816711426,
|
85 |
+
"logps/chosen": -117.554931640625,
|
86 |
+
"logps/ref_chosen": -117.5941162109375,
|
87 |
+
"logps/ref_rejected": -132.1708984375,
|
88 |
+
"logps/rejected": -132.1227264404297,
|
89 |
+
"loss": 0.6932,
|
90 |
+
"rewards/accuracies": 0.546875,
|
91 |
+
"rewards/chosen": 0.0003917121794074774,
|
92 |
+
"rewards/margins": -9.010493522509933e-05,
|
93 |
+
"rewards/rejected": 0.0004818170564249158,
|
94 |
+
"step": 5
|
95 |
+
},
|
96 |
+
{
|
97 |
+
"epoch": 0.07904487443392343,
|
98 |
+
"grad_norm": 0.5541566610336304,
|
99 |
+
"learning_rate": 3.75e-07,
|
100 |
+
"logits/chosen": 10.660999298095703,
|
101 |
+
"logits/rejected": 11.290507316589355,
|
102 |
+
"logps/chosen": -127.00320434570312,
|
103 |
+
"logps/ref_chosen": -126.12411499023438,
|
104 |
+
"logps/ref_rejected": -136.9976043701172,
|
105 |
+
"logps/rejected": -137.75950622558594,
|
106 |
+
"loss": 0.6938,
|
107 |
+
"rewards/accuracies": 0.46875,
|
108 |
+
"rewards/chosen": -0.00879070907831192,
|
109 |
+
"rewards/margins": -0.0011717069428414106,
|
110 |
+
"rewards/rejected": -0.007619001902639866,
|
111 |
+
"step": 6
|
112 |
+
},
|
113 |
+
{
|
114 |
+
"epoch": 0.09221902017291066,
|
115 |
+
"grad_norm": 0.4422788619995117,
|
116 |
+
"learning_rate": 4.375e-07,
|
117 |
+
"logits/chosen": 9.958097457885742,
|
118 |
+
"logits/rejected": 10.642163276672363,
|
119 |
+
"logps/chosen": -115.61244201660156,
|
120 |
+
"logps/ref_chosen": -115.08863830566406,
|
121 |
+
"logps/ref_rejected": -125.91255187988281,
|
122 |
+
"logps/rejected": -126.15577697753906,
|
123 |
+
"loss": 0.6946,
|
124 |
+
"rewards/accuracies": 0.4375,
|
125 |
+
"rewards/chosen": -0.005238103214651346,
|
126 |
+
"rewards/margins": -0.0028058765456080437,
|
127 |
+
"rewards/rejected": -0.002432226436212659,
|
128 |
+
"step": 7
|
129 |
+
},
|
130 |
+
{
|
131 |
+
"epoch": 0.1053931659118979,
|
132 |
+
"grad_norm": 0.5495327115058899,
|
133 |
+
"learning_rate": 5e-07,
|
134 |
+
"logits/chosen": 10.345503807067871,
|
135 |
+
"logits/rejected": 10.97708797454834,
|
136 |
+
"logps/chosen": -121.48406982421875,
|
137 |
+
"logps/ref_chosen": -121.4114761352539,
|
138 |
+
"logps/ref_rejected": -134.62770080566406,
|
139 |
+
"logps/rejected": -134.7586212158203,
|
140 |
+
"loss": 0.6929,
|
141 |
+
"rewards/accuracies": 0.5078125,
|
142 |
+
"rewards/chosen": -0.0007259202538989484,
|
143 |
+
"rewards/margins": 0.0005832896567881107,
|
144 |
+
"rewards/rejected": -0.0013092098524793983,
|
145 |
+
"step": 8
|
146 |
+
},
|
147 |
+
{
|
148 |
+
"epoch": 0.11856731165088513,
|
149 |
+
"grad_norm": 0.43922048807144165,
|
150 |
+
"learning_rate": 4.997252228714278e-07,
|
151 |
+
"logits/chosen": 10.159126281738281,
|
152 |
+
"logits/rejected": 11.002123832702637,
|
153 |
+
"logps/chosen": -122.51399230957031,
|
154 |
+
"logps/ref_chosen": -121.59207153320312,
|
155 |
+
"logps/ref_rejected": -134.70025634765625,
|
156 |
+
"logps/rejected": -135.55740356445312,
|
157 |
+
"loss": 0.6935,
|
158 |
+
"rewards/accuracies": 0.4453125,
|
159 |
+
"rewards/chosen": -0.00921926274895668,
|
160 |
+
"rewards/margins": -0.0006479143630713224,
|
161 |
+
"rewards/rejected": -0.008571348153054714,
|
162 |
+
"step": 9
|
163 |
+
},
|
164 |
+
{
|
165 |
+
"epoch": 0.13174145738987236,
|
166 |
+
"grad_norm": 0.6643485426902771,
|
167 |
+
"learning_rate": 4.989014955054745e-07,
|
168 |
+
"logits/chosen": 9.9464111328125,
|
169 |
+
"logits/rejected": 10.739057540893555,
|
170 |
+
"logps/chosen": -117.91310119628906,
|
171 |
+
"logps/ref_chosen": -117.16349029541016,
|
172 |
+
"logps/ref_rejected": -129.98167419433594,
|
173 |
+
"logps/rejected": -130.65924072265625,
|
174 |
+
"loss": 0.6935,
|
175 |
+
"rewards/accuracies": 0.5,
|
176 |
+
"rewards/chosen": -0.007496046833693981,
|
177 |
+
"rewards/margins": -0.0007203805143944919,
|
178 |
+
"rewards/rejected": -0.00677566509693861,
|
179 |
+
"step": 10
|
180 |
+
},
|
181 |
+
{
|
182 |
+
"epoch": 0.14491560312885962,
|
183 |
+
"grad_norm": 0.4432956576347351,
|
184 |
+
"learning_rate": 4.975306286336627e-07,
|
185 |
+
"logits/chosen": 10.095781326293945,
|
186 |
+
"logits/rejected": 11.001167297363281,
|
187 |
+
"logps/chosen": -123.26506042480469,
|
188 |
+
"logps/ref_chosen": -121.95927429199219,
|
189 |
+
"logps/ref_rejected": -136.18655395507812,
|
190 |
+
"logps/rejected": -137.39865112304688,
|
191 |
+
"loss": 0.6936,
|
192 |
+
"rewards/accuracies": 0.46875,
|
193 |
+
"rewards/chosen": -0.01305788941681385,
|
194 |
+
"rewards/margins": -0.0009369202307425439,
|
195 |
+
"rewards/rejected": -0.012120969593524933,
|
196 |
+
"step": 11
|
197 |
+
},
|
198 |
+
{
|
199 |
+
"epoch": 0.15808974886784685,
|
200 |
+
"grad_norm": 0.3955974280834198,
|
201 |
+
"learning_rate": 4.956156357188939e-07,
|
202 |
+
"logits/chosen": 10.129995346069336,
|
203 |
+
"logits/rejected": 10.673677444458008,
|
204 |
+
"logps/chosen": -126.05357360839844,
|
205 |
+
"logps/ref_chosen": -124.12315368652344,
|
206 |
+
"logps/ref_rejected": -134.275390625,
|
207 |
+
"logps/rejected": -136.24940490722656,
|
208 |
+
"loss": 0.693,
|
209 |
+
"rewards/accuracies": 0.5234375,
|
210 |
+
"rewards/chosen": -0.01930420845746994,
|
211 |
+
"rewards/margins": 0.00043603626545518637,
|
212 |
+
"rewards/rejected": -0.01974024437367916,
|
213 |
+
"step": 12
|
214 |
+
}
|
215 |
+
],
|
216 |
+
"logging_steps": 1,
|
217 |
+
"max_steps": 75,
|
218 |
+
"num_input_tokens_seen": 0,
|
219 |
+
"num_train_epochs": 1,
|
220 |
+
"save_steps": 12,
|
221 |
+
"stateful_callbacks": {
|
222 |
+
"TrainerControl": {
|
223 |
+
"args": {
|
224 |
+
"should_epoch_stop": false,
|
225 |
+
"should_evaluate": false,
|
226 |
+
"should_log": false,
|
227 |
+
"should_save": true,
|
228 |
+
"should_training_stop": false
|
229 |
+
},
|
230 |
+
"attributes": {}
|
231 |
+
}
|
232 |
+
},
|
233 |
+
"total_flos": 0.0,
|
234 |
+
"train_batch_size": 2,
|
235 |
+
"trial_name": null,
|
236 |
+
"trial_params": null
|
237 |
+
}
|
checkpoint-24/added_tokens.json
ADDED
@@ -0,0 +1,13 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"<|assistant|>": 32001,
|
3 |
+
"<|endoftext|>": 32000,
|
4 |
+
"<|end|>": 32007,
|
5 |
+
"<|placeholder1|>": 32002,
|
6 |
+
"<|placeholder2|>": 32003,
|
7 |
+
"<|placeholder3|>": 32004,
|
8 |
+
"<|placeholder4|>": 32005,
|
9 |
+
"<|placeholder5|>": 32008,
|
10 |
+
"<|placeholder6|>": 32009,
|
11 |
+
"<|system|>": 32006,
|
12 |
+
"<|user|>": 32010
|
13 |
+
}
|
checkpoint-24/config.json
ADDED
@@ -0,0 +1,36 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"_name_or_path": "/home/v-liuzichuan/huggingface/Phi-3-mini-4k-instruct",
|
3 |
+
"architectures": [
|
4 |
+
"Phi3ForCausalLM"
|
5 |
+
],
|
6 |
+
"attention_bias": false,
|
7 |
+
"attention_dropout": 0.0,
|
8 |
+
"auto_map": {
|
9 |
+
"AutoConfig": "configuration_phi3.Phi3Config",
|
10 |
+
"AutoModelForCausalLM": "modeling_phi3.Phi3ForCausalLM"
|
11 |
+
},
|
12 |
+
"bos_token_id": 1,
|
13 |
+
"embd_pdrop": 0.0,
|
14 |
+
"eos_token_id": 32000,
|
15 |
+
"hidden_act": "silu",
|
16 |
+
"hidden_size": 3072,
|
17 |
+
"initializer_range": 0.02,
|
18 |
+
"intermediate_size": 8192,
|
19 |
+
"max_position_embeddings": 4096,
|
20 |
+
"model_type": "phi3",
|
21 |
+
"num_attention_heads": 32,
|
22 |
+
"num_hidden_layers": 32,
|
23 |
+
"num_key_value_heads": 32,
|
24 |
+
"original_max_position_embeddings": 4096,
|
25 |
+
"pad_token_id": 32000,
|
26 |
+
"resid_pdrop": 0.0,
|
27 |
+
"rms_norm_eps": 1e-05,
|
28 |
+
"rope_scaling": null,
|
29 |
+
"rope_theta": 10000.0,
|
30 |
+
"sliding_window": 2047,
|
31 |
+
"tie_word_embeddings": false,
|
32 |
+
"torch_dtype": "bfloat16",
|
33 |
+
"transformers_version": "4.45.2",
|
34 |
+
"use_cache": false,
|
35 |
+
"vocab_size": 32064
|
36 |
+
}
|
checkpoint-24/generation_config.json
ADDED
@@ -0,0 +1,11 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"_from_model_config": true,
|
3 |
+
"bos_token_id": 1,
|
4 |
+
"eos_token_id": [
|
5 |
+
32000,
|
6 |
+
32001,
|
7 |
+
32007
|
8 |
+
],
|
9 |
+
"pad_token_id": 32000,
|
10 |
+
"transformers_version": "4.45.2"
|
11 |
+
}
|
checkpoint-24/model-00001-of-00002.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:607c81351a37ec995fb0a6a7311f9b469ffdaa114ea874f8608e452070b2eb68
|
3 |
+
size 4972489328
|
checkpoint-24/model-00002-of-00002.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:3ba14374acf82bd8338ba7f58ac7f237a36334cee0b0fad4a9d796700f5607d3
|
3 |
+
size 2669692552
|
checkpoint-24/model.safetensors.index.json
ADDED
@@ -0,0 +1,202 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"metadata": {
|
3 |
+
"total_size": 7642159104
|
4 |
+
},
|
5 |
+
"weight_map": {
|
6 |
+
"lm_head.weight": "model-00002-of-00002.safetensors",
|
7 |
+
"model.embed_tokens.weight": "model-00001-of-00002.safetensors",
|
8 |
+
"model.layers.0.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
9 |
+
"model.layers.0.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
10 |
+
"model.layers.0.mlp.gate_up_proj.weight": "model-00001-of-00002.safetensors",
|
11 |
+
"model.layers.0.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
12 |
+
"model.layers.0.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
13 |
+
"model.layers.0.self_attn.qkv_proj.weight": "model-00001-of-00002.safetensors",
|
14 |
+
"model.layers.1.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
15 |
+
"model.layers.1.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
16 |
+
"model.layers.1.mlp.gate_up_proj.weight": "model-00001-of-00002.safetensors",
|
17 |
+
"model.layers.1.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
18 |
+
"model.layers.1.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
19 |
+
"model.layers.1.self_attn.qkv_proj.weight": "model-00001-of-00002.safetensors",
|
20 |
+
"model.layers.10.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
21 |
+
"model.layers.10.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
22 |
+
"model.layers.10.mlp.gate_up_proj.weight": "model-00001-of-00002.safetensors",
|
23 |
+
"model.layers.10.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
24 |
+
"model.layers.10.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
25 |
+
"model.layers.10.self_attn.qkv_proj.weight": "model-00001-of-00002.safetensors",
|
26 |
+
"model.layers.11.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
27 |
+
"model.layers.11.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
28 |
+
"model.layers.11.mlp.gate_up_proj.weight": "model-00001-of-00002.safetensors",
|
29 |
+
"model.layers.11.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
30 |
+
"model.layers.11.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
31 |
+
"model.layers.11.self_attn.qkv_proj.weight": "model-00001-of-00002.safetensors",
|
32 |
+
"model.layers.12.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
33 |
+
"model.layers.12.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
34 |
+
"model.layers.12.mlp.gate_up_proj.weight": "model-00001-of-00002.safetensors",
|
35 |
+
"model.layers.12.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
36 |
+
"model.layers.12.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
37 |
+
"model.layers.12.self_attn.qkv_proj.weight": "model-00001-of-00002.safetensors",
|
38 |
+
"model.layers.13.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
39 |
+
"model.layers.13.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
40 |
+
"model.layers.13.mlp.gate_up_proj.weight": "model-00001-of-00002.safetensors",
|
41 |
+
"model.layers.13.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
42 |
+
"model.layers.13.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
43 |
+
"model.layers.13.self_attn.qkv_proj.weight": "model-00001-of-00002.safetensors",
|
44 |
+
"model.layers.14.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
45 |
+
"model.layers.14.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
46 |
+
"model.layers.14.mlp.gate_up_proj.weight": "model-00001-of-00002.safetensors",
|
47 |
+
"model.layers.14.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
48 |
+
"model.layers.14.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
49 |
+
"model.layers.14.self_attn.qkv_proj.weight": "model-00001-of-00002.safetensors",
|
50 |
+
"model.layers.15.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
51 |
+
"model.layers.15.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
52 |
+
"model.layers.15.mlp.gate_up_proj.weight": "model-00001-of-00002.safetensors",
|
53 |
+
"model.layers.15.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
54 |
+
"model.layers.15.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
55 |
+
"model.layers.15.self_attn.qkv_proj.weight": "model-00001-of-00002.safetensors",
|
56 |
+
"model.layers.16.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
57 |
+
"model.layers.16.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
58 |
+
"model.layers.16.mlp.gate_up_proj.weight": "model-00001-of-00002.safetensors",
|
59 |
+
"model.layers.16.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
60 |
+
"model.layers.16.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
61 |
+
"model.layers.16.self_attn.qkv_proj.weight": "model-00001-of-00002.safetensors",
|
62 |
+
"model.layers.17.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
63 |
+
"model.layers.17.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
64 |
+
"model.layers.17.mlp.gate_up_proj.weight": "model-00001-of-00002.safetensors",
|
65 |
+
"model.layers.17.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
66 |
+
"model.layers.17.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
67 |
+
"model.layers.17.self_attn.qkv_proj.weight": "model-00001-of-00002.safetensors",
|
68 |
+
"model.layers.18.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
69 |
+
"model.layers.18.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
70 |
+
"model.layers.18.mlp.gate_up_proj.weight": "model-00001-of-00002.safetensors",
|
71 |
+
"model.layers.18.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
72 |
+
"model.layers.18.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
73 |
+
"model.layers.18.self_attn.qkv_proj.weight": "model-00001-of-00002.safetensors",
|
74 |
+
"model.layers.19.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
75 |
+
"model.layers.19.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
76 |
+
"model.layers.19.mlp.gate_up_proj.weight": "model-00001-of-00002.safetensors",
|
77 |
+
"model.layers.19.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
78 |
+
"model.layers.19.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
79 |
+
"model.layers.19.self_attn.qkv_proj.weight": "model-00001-of-00002.safetensors",
|
80 |
+
"model.layers.2.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
81 |
+
"model.layers.2.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
82 |
+
"model.layers.2.mlp.gate_up_proj.weight": "model-00001-of-00002.safetensors",
|
83 |
+
"model.layers.2.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
84 |
+
"model.layers.2.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
85 |
+
"model.layers.2.self_attn.qkv_proj.weight": "model-00001-of-00002.safetensors",
|
86 |
+
"model.layers.20.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
87 |
+
"model.layers.20.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
88 |
+
"model.layers.20.mlp.gate_up_proj.weight": "model-00001-of-00002.safetensors",
|
89 |
+
"model.layers.20.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
90 |
+
"model.layers.20.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
91 |
+
"model.layers.20.self_attn.qkv_proj.weight": "model-00001-of-00002.safetensors",
|
92 |
+
"model.layers.21.input_layernorm.weight": "model-00002-of-00002.safetensors",
|
93 |
+
"model.layers.21.mlp.down_proj.weight": "model-00002-of-00002.safetensors",
|
94 |
+
"model.layers.21.mlp.gate_up_proj.weight": "model-00002-of-00002.safetensors",
|
95 |
+
"model.layers.21.post_attention_layernorm.weight": "model-00002-of-00002.safetensors",
|
96 |
+
"model.layers.21.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
97 |
+
"model.layers.21.self_attn.qkv_proj.weight": "model-00002-of-00002.safetensors",
|
98 |
+
"model.layers.22.input_layernorm.weight": "model-00002-of-00002.safetensors",
|
99 |
+
"model.layers.22.mlp.down_proj.weight": "model-00002-of-00002.safetensors",
|
100 |
+
"model.layers.22.mlp.gate_up_proj.weight": "model-00002-of-00002.safetensors",
|
101 |
+
"model.layers.22.post_attention_layernorm.weight": "model-00002-of-00002.safetensors",
|
102 |
+
"model.layers.22.self_attn.o_proj.weight": "model-00002-of-00002.safetensors",
|
103 |
+
"model.layers.22.self_attn.qkv_proj.weight": "model-00002-of-00002.safetensors",
|
104 |
+
"model.layers.23.input_layernorm.weight": "model-00002-of-00002.safetensors",
|
105 |
+
"model.layers.23.mlp.down_proj.weight": "model-00002-of-00002.safetensors",
|
106 |
+
"model.layers.23.mlp.gate_up_proj.weight": "model-00002-of-00002.safetensors",
|
107 |
+
"model.layers.23.post_attention_layernorm.weight": "model-00002-of-00002.safetensors",
|
108 |
+
"model.layers.23.self_attn.o_proj.weight": "model-00002-of-00002.safetensors",
|
109 |
+
"model.layers.23.self_attn.qkv_proj.weight": "model-00002-of-00002.safetensors",
|
110 |
+
"model.layers.24.input_layernorm.weight": "model-00002-of-00002.safetensors",
|
111 |
+
"model.layers.24.mlp.down_proj.weight": "model-00002-of-00002.safetensors",
|
112 |
+
"model.layers.24.mlp.gate_up_proj.weight": "model-00002-of-00002.safetensors",
|
113 |
+
"model.layers.24.post_attention_layernorm.weight": "model-00002-of-00002.safetensors",
|
114 |
+
"model.layers.24.self_attn.o_proj.weight": "model-00002-of-00002.safetensors",
|
115 |
+
"model.layers.24.self_attn.qkv_proj.weight": "model-00002-of-00002.safetensors",
|
116 |
+
"model.layers.25.input_layernorm.weight": "model-00002-of-00002.safetensors",
|
117 |
+
"model.layers.25.mlp.down_proj.weight": "model-00002-of-00002.safetensors",
|
118 |
+
"model.layers.25.mlp.gate_up_proj.weight": "model-00002-of-00002.safetensors",
|
119 |
+
"model.layers.25.post_attention_layernorm.weight": "model-00002-of-00002.safetensors",
|
120 |
+
"model.layers.25.self_attn.o_proj.weight": "model-00002-of-00002.safetensors",
|
121 |
+
"model.layers.25.self_attn.qkv_proj.weight": "model-00002-of-00002.safetensors",
|
122 |
+
"model.layers.26.input_layernorm.weight": "model-00002-of-00002.safetensors",
|
123 |
+
"model.layers.26.mlp.down_proj.weight": "model-00002-of-00002.safetensors",
|
124 |
+
"model.layers.26.mlp.gate_up_proj.weight": "model-00002-of-00002.safetensors",
|
125 |
+
"model.layers.26.post_attention_layernorm.weight": "model-00002-of-00002.safetensors",
|
126 |
+
"model.layers.26.self_attn.o_proj.weight": "model-00002-of-00002.safetensors",
|
127 |
+
"model.layers.26.self_attn.qkv_proj.weight": "model-00002-of-00002.safetensors",
|
128 |
+
"model.layers.27.input_layernorm.weight": "model-00002-of-00002.safetensors",
|
129 |
+
"model.layers.27.mlp.down_proj.weight": "model-00002-of-00002.safetensors",
|
130 |
+
"model.layers.27.mlp.gate_up_proj.weight": "model-00002-of-00002.safetensors",
|
131 |
+
"model.layers.27.post_attention_layernorm.weight": "model-00002-of-00002.safetensors",
|
132 |
+
"model.layers.27.self_attn.o_proj.weight": "model-00002-of-00002.safetensors",
|
133 |
+
"model.layers.27.self_attn.qkv_proj.weight": "model-00002-of-00002.safetensors",
|
134 |
+
"model.layers.28.input_layernorm.weight": "model-00002-of-00002.safetensors",
|
135 |
+
"model.layers.28.mlp.down_proj.weight": "model-00002-of-00002.safetensors",
|
136 |
+
"model.layers.28.mlp.gate_up_proj.weight": "model-00002-of-00002.safetensors",
|
137 |
+
"model.layers.28.post_attention_layernorm.weight": "model-00002-of-00002.safetensors",
|
138 |
+
"model.layers.28.self_attn.o_proj.weight": "model-00002-of-00002.safetensors",
|
139 |
+
"model.layers.28.self_attn.qkv_proj.weight": "model-00002-of-00002.safetensors",
|
140 |
+
"model.layers.29.input_layernorm.weight": "model-00002-of-00002.safetensors",
|
141 |
+
"model.layers.29.mlp.down_proj.weight": "model-00002-of-00002.safetensors",
|
142 |
+
"model.layers.29.mlp.gate_up_proj.weight": "model-00002-of-00002.safetensors",
|
143 |
+
"model.layers.29.post_attention_layernorm.weight": "model-00002-of-00002.safetensors",
|
144 |
+
"model.layers.29.self_attn.o_proj.weight": "model-00002-of-00002.safetensors",
|
145 |
+
"model.layers.29.self_attn.qkv_proj.weight": "model-00002-of-00002.safetensors",
|
146 |
+
"model.layers.3.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
147 |
+
"model.layers.3.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
148 |
+
"model.layers.3.mlp.gate_up_proj.weight": "model-00001-of-00002.safetensors",
|
149 |
+
"model.layers.3.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
150 |
+
"model.layers.3.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
151 |
+
"model.layers.3.self_attn.qkv_proj.weight": "model-00001-of-00002.safetensors",
|
152 |
+
"model.layers.30.input_layernorm.weight": "model-00002-of-00002.safetensors",
|
153 |
+
"model.layers.30.mlp.down_proj.weight": "model-00002-of-00002.safetensors",
|
154 |
+
"model.layers.30.mlp.gate_up_proj.weight": "model-00002-of-00002.safetensors",
|
155 |
+
"model.layers.30.post_attention_layernorm.weight": "model-00002-of-00002.safetensors",
|
156 |
+
"model.layers.30.self_attn.o_proj.weight": "model-00002-of-00002.safetensors",
|
157 |
+
"model.layers.30.self_attn.qkv_proj.weight": "model-00002-of-00002.safetensors",
|
158 |
+
"model.layers.31.input_layernorm.weight": "model-00002-of-00002.safetensors",
|
159 |
+
"model.layers.31.mlp.down_proj.weight": "model-00002-of-00002.safetensors",
|
160 |
+
"model.layers.31.mlp.gate_up_proj.weight": "model-00002-of-00002.safetensors",
|
161 |
+
"model.layers.31.post_attention_layernorm.weight": "model-00002-of-00002.safetensors",
|
162 |
+
"model.layers.31.self_attn.o_proj.weight": "model-00002-of-00002.safetensors",
|
163 |
+
"model.layers.31.self_attn.qkv_proj.weight": "model-00002-of-00002.safetensors",
|
164 |
+
"model.layers.4.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
165 |
+
"model.layers.4.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
166 |
+
"model.layers.4.mlp.gate_up_proj.weight": "model-00001-of-00002.safetensors",
|
167 |
+
"model.layers.4.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
168 |
+
"model.layers.4.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
169 |
+
"model.layers.4.self_attn.qkv_proj.weight": "model-00001-of-00002.safetensors",
|
170 |
+
"model.layers.5.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
171 |
+
"model.layers.5.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
172 |
+
"model.layers.5.mlp.gate_up_proj.weight": "model-00001-of-00002.safetensors",
|
173 |
+
"model.layers.5.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
174 |
+
"model.layers.5.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
175 |
+
"model.layers.5.self_attn.qkv_proj.weight": "model-00001-of-00002.safetensors",
|
176 |
+
"model.layers.6.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
177 |
+
"model.layers.6.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
178 |
+
"model.layers.6.mlp.gate_up_proj.weight": "model-00001-of-00002.safetensors",
|
179 |
+
"model.layers.6.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
180 |
+
"model.layers.6.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
181 |
+
"model.layers.6.self_attn.qkv_proj.weight": "model-00001-of-00002.safetensors",
|
182 |
+
"model.layers.7.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
183 |
+
"model.layers.7.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
184 |
+
"model.layers.7.mlp.gate_up_proj.weight": "model-00001-of-00002.safetensors",
|
185 |
+
"model.layers.7.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
186 |
+
"model.layers.7.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
187 |
+
"model.layers.7.self_attn.qkv_proj.weight": "model-00001-of-00002.safetensors",
|
188 |
+
"model.layers.8.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
189 |
+
"model.layers.8.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
190 |
+
"model.layers.8.mlp.gate_up_proj.weight": "model-00001-of-00002.safetensors",
|
191 |
+
"model.layers.8.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
192 |
+
"model.layers.8.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
193 |
+
"model.layers.8.self_attn.qkv_proj.weight": "model-00001-of-00002.safetensors",
|
194 |
+
"model.layers.9.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
195 |
+
"model.layers.9.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
196 |
+
"model.layers.9.mlp.gate_up_proj.weight": "model-00001-of-00002.safetensors",
|
197 |
+
"model.layers.9.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
198 |
+
"model.layers.9.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
199 |
+
"model.layers.9.self_attn.qkv_proj.weight": "model-00001-of-00002.safetensors",
|
200 |
+
"model.norm.weight": "model-00002-of-00002.safetensors"
|
201 |
+
}
|
202 |
+
}
|
checkpoint-24/special_tokens_map.json
ADDED
@@ -0,0 +1,30 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"bos_token": {
|
3 |
+
"content": "<s>",
|
4 |
+
"lstrip": false,
|
5 |
+
"normalized": false,
|
6 |
+
"rstrip": false,
|
7 |
+
"single_word": false
|
8 |
+
},
|
9 |
+
"eos_token": {
|
10 |
+
"content": "<|endoftext|>",
|
11 |
+
"lstrip": false,
|
12 |
+
"normalized": false,
|
13 |
+
"rstrip": false,
|
14 |
+
"single_word": false
|
15 |
+
},
|
16 |
+
"pad_token": {
|
17 |
+
"content": "<|endoftext|>",
|
18 |
+
"lstrip": false,
|
19 |
+
"normalized": false,
|
20 |
+
"rstrip": false,
|
21 |
+
"single_word": false
|
22 |
+
},
|
23 |
+
"unk_token": {
|
24 |
+
"content": "<unk>",
|
25 |
+
"lstrip": false,
|
26 |
+
"normalized": false,
|
27 |
+
"rstrip": false,
|
28 |
+
"single_word": false
|
29 |
+
}
|
30 |
+
}
|
checkpoint-24/tokenizer.json
ADDED
The diff for this file is too large to render.
See raw diff
|
|
checkpoint-24/tokenizer_config.json
ADDED
@@ -0,0 +1,131 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"add_bos_token": false,
|
3 |
+
"add_eos_token": false,
|
4 |
+
"add_prefix_space": null,
|
5 |
+
"added_tokens_decoder": {
|
6 |
+
"0": {
|
7 |
+
"content": "<unk>",
|
8 |
+
"lstrip": false,
|
9 |
+
"normalized": false,
|
10 |
+
"rstrip": false,
|
11 |
+
"single_word": false,
|
12 |
+
"special": true
|
13 |
+
},
|
14 |
+
"1": {
|
15 |
+
"content": "<s>",
|
16 |
+
"lstrip": false,
|
17 |
+
"normalized": false,
|
18 |
+
"rstrip": false,
|
19 |
+
"single_word": false,
|
20 |
+
"special": true
|
21 |
+
},
|
22 |
+
"2": {
|
23 |
+
"content": "</s>",
|
24 |
+
"lstrip": false,
|
25 |
+
"normalized": false,
|
26 |
+
"rstrip": true,
|
27 |
+
"single_word": false,
|
28 |
+
"special": false
|
29 |
+
},
|
30 |
+
"32000": {
|
31 |
+
"content": "<|endoftext|>",
|
32 |
+
"lstrip": false,
|
33 |
+
"normalized": false,
|
34 |
+
"rstrip": false,
|
35 |
+
"single_word": false,
|
36 |
+
"special": true
|
37 |
+
},
|
38 |
+
"32001": {
|
39 |
+
"content": "<|assistant|>",
|
40 |
+
"lstrip": false,
|
41 |
+
"normalized": false,
|
42 |
+
"rstrip": true,
|
43 |
+
"single_word": false,
|
44 |
+
"special": true
|
45 |
+
},
|
46 |
+
"32002": {
|
47 |
+
"content": "<|placeholder1|>",
|
48 |
+
"lstrip": false,
|
49 |
+
"normalized": false,
|
50 |
+
"rstrip": true,
|
51 |
+
"single_word": false,
|
52 |
+
"special": true
|
53 |
+
},
|
54 |
+
"32003": {
|
55 |
+
"content": "<|placeholder2|>",
|
56 |
+
"lstrip": false,
|
57 |
+
"normalized": false,
|
58 |
+
"rstrip": true,
|
59 |
+
"single_word": false,
|
60 |
+
"special": true
|
61 |
+
},
|
62 |
+
"32004": {
|
63 |
+
"content": "<|placeholder3|>",
|
64 |
+
"lstrip": false,
|
65 |
+
"normalized": false,
|
66 |
+
"rstrip": true,
|
67 |
+
"single_word": false,
|
68 |
+
"special": true
|
69 |
+
},
|
70 |
+
"32005": {
|
71 |
+
"content": "<|placeholder4|>",
|
72 |
+
"lstrip": false,
|
73 |
+
"normalized": false,
|
74 |
+
"rstrip": true,
|
75 |
+
"single_word": false,
|
76 |
+
"special": true
|
77 |
+
},
|
78 |
+
"32006": {
|
79 |
+
"content": "<|system|>",
|
80 |
+
"lstrip": false,
|
81 |
+
"normalized": false,
|
82 |
+
"rstrip": true,
|
83 |
+
"single_word": false,
|
84 |
+
"special": true
|
85 |
+
},
|
86 |
+
"32007": {
|
87 |
+
"content": "<|end|>",
|
88 |
+
"lstrip": false,
|
89 |
+
"normalized": false,
|
90 |
+
"rstrip": true,
|
91 |
+
"single_word": false,
|
92 |
+
"special": true
|
93 |
+
},
|
94 |
+
"32008": {
|
95 |
+
"content": "<|placeholder5|>",
|
96 |
+
"lstrip": false,
|
97 |
+
"normalized": false,
|
98 |
+
"rstrip": true,
|
99 |
+
"single_word": false,
|
100 |
+
"special": true
|
101 |
+
},
|
102 |
+
"32009": {
|
103 |
+
"content": "<|placeholder6|>",
|
104 |
+
"lstrip": false,
|
105 |
+
"normalized": false,
|
106 |
+
"rstrip": true,
|
107 |
+
"single_word": false,
|
108 |
+
"special": true
|
109 |
+
},
|
110 |
+
"32010": {
|
111 |
+
"content": "<|user|>",
|
112 |
+
"lstrip": false,
|
113 |
+
"normalized": false,
|
114 |
+
"rstrip": true,
|
115 |
+
"single_word": false,
|
116 |
+
"special": true
|
117 |
+
}
|
118 |
+
},
|
119 |
+
"bos_token": "<s>",
|
120 |
+
"chat_template": "{% for message in messages %}{% if message['role'] == 'system' %}{{'<|system|>\n' + message['content'] + '<|end|>\n'}}{% elif message['role'] == 'user' %}{{'<|user|>\n' + message['content'] + '<|end|>\n'}}{% elif message['role'] == 'assistant' %}{{'<|assistant|>\n' + message['content'] + '<|end|>\n'}}{% endif %}{% endfor %}{% if add_generation_prompt %}{{ '<|assistant|>\n' }}{% else %}{{ eos_token }}{% endif %}",
|
121 |
+
"clean_up_tokenization_spaces": false,
|
122 |
+
"eos_token": "<|endoftext|>",
|
123 |
+
"legacy": false,
|
124 |
+
"model_max_length": 4096,
|
125 |
+
"pad_token": "<|endoftext|>",
|
126 |
+
"padding_side": "left",
|
127 |
+
"sp_model_kwargs": {},
|
128 |
+
"tokenizer_class": "LlamaTokenizer",
|
129 |
+
"unk_token": "<unk>",
|
130 |
+
"use_default_system_prompt": false
|
131 |
+
}
|
checkpoint-24/trainer_state.json
ADDED
@@ -0,0 +1,441 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": null,
|
3 |
+
"best_model_checkpoint": null,
|
4 |
+
"epoch": 0.3161794977356937,
|
5 |
+
"eval_steps": 500,
|
6 |
+
"global_step": 24,
|
7 |
+
"is_hyper_param_search": false,
|
8 |
+
"is_local_process_zero": true,
|
9 |
+
"is_world_process_zero": true,
|
10 |
+
"log_history": [
|
11 |
+
{
|
12 |
+
"epoch": 0.013174145738987238,
|
13 |
+
"grad_norm": 0.39343583583831787,
|
14 |
+
"learning_rate": 6.25e-08,
|
15 |
+
"logits/chosen": 10.071717262268066,
|
16 |
+
"logits/rejected": 10.610974311828613,
|
17 |
+
"logps/chosen": -121.14067077636719,
|
18 |
+
"logps/ref_chosen": -121.14067077636719,
|
19 |
+
"logps/ref_rejected": -137.65684509277344,
|
20 |
+
"logps/rejected": -137.65684509277344,
|
21 |
+
"loss": 0.6931,
|
22 |
+
"rewards/accuracies": 0.0,
|
23 |
+
"rewards/chosen": 0.0,
|
24 |
+
"rewards/margins": 0.0,
|
25 |
+
"rewards/rejected": 0.0,
|
26 |
+
"step": 1
|
27 |
+
},
|
28 |
+
{
|
29 |
+
"epoch": 0.026348291477974475,
|
30 |
+
"grad_norm": 0.7521647214889526,
|
31 |
+
"learning_rate": 1.25e-07,
|
32 |
+
"logits/chosen": 10.222262382507324,
|
33 |
+
"logits/rejected": 10.754176139831543,
|
34 |
+
"logps/chosen": -116.48068237304688,
|
35 |
+
"logps/ref_chosen": -116.48068237304688,
|
36 |
+
"logps/ref_rejected": -130.27796936035156,
|
37 |
+
"logps/rejected": -130.27796936035156,
|
38 |
+
"loss": 0.6931,
|
39 |
+
"rewards/accuracies": 0.0,
|
40 |
+
"rewards/chosen": 0.0,
|
41 |
+
"rewards/margins": 0.0,
|
42 |
+
"rewards/rejected": 0.0,
|
43 |
+
"step": 2
|
44 |
+
},
|
45 |
+
{
|
46 |
+
"epoch": 0.03952243721696171,
|
47 |
+
"grad_norm": 0.5880491137504578,
|
48 |
+
"learning_rate": 1.875e-07,
|
49 |
+
"logits/chosen": 10.01984977722168,
|
50 |
+
"logits/rejected": 10.62405776977539,
|
51 |
+
"logps/chosen": -123.36822509765625,
|
52 |
+
"logps/ref_chosen": -122.6683349609375,
|
53 |
+
"logps/ref_rejected": -132.69850158691406,
|
54 |
+
"logps/rejected": -133.207275390625,
|
55 |
+
"loss": 0.6941,
|
56 |
+
"rewards/accuracies": 0.4453125,
|
57 |
+
"rewards/chosen": -0.006998830940574408,
|
58 |
+
"rewards/margins": -0.0019110905705019832,
|
59 |
+
"rewards/rejected": -0.005087739787995815,
|
60 |
+
"step": 3
|
61 |
+
},
|
62 |
+
{
|
63 |
+
"epoch": 0.05269658295594895,
|
64 |
+
"grad_norm": 0.4605408310890198,
|
65 |
+
"learning_rate": 2.5e-07,
|
66 |
+
"logits/chosen": 9.99990463256836,
|
67 |
+
"logits/rejected": 10.736846923828125,
|
68 |
+
"logps/chosen": -123.02133178710938,
|
69 |
+
"logps/ref_chosen": -122.59739685058594,
|
70 |
+
"logps/ref_rejected": -129.70767211914062,
|
71 |
+
"logps/rejected": -129.98374938964844,
|
72 |
+
"loss": 0.6939,
|
73 |
+
"rewards/accuracies": 0.4765625,
|
74 |
+
"rewards/chosen": -0.004239337984472513,
|
75 |
+
"rewards/margins": -0.0014785109087824821,
|
76 |
+
"rewards/rejected": -0.0027608266100287437,
|
77 |
+
"step": 4
|
78 |
+
},
|
79 |
+
{
|
80 |
+
"epoch": 0.06587072869493618,
|
81 |
+
"grad_norm": 0.469856321811676,
|
82 |
+
"learning_rate": 3.1249999999999997e-07,
|
83 |
+
"logits/chosen": 10.075482368469238,
|
84 |
+
"logits/rejected": 10.892666816711426,
|
85 |
+
"logps/chosen": -117.554931640625,
|
86 |
+
"logps/ref_chosen": -117.5941162109375,
|
87 |
+
"logps/ref_rejected": -132.1708984375,
|
88 |
+
"logps/rejected": -132.1227264404297,
|
89 |
+
"loss": 0.6932,
|
90 |
+
"rewards/accuracies": 0.546875,
|
91 |
+
"rewards/chosen": 0.0003917121794074774,
|
92 |
+
"rewards/margins": -9.010493522509933e-05,
|
93 |
+
"rewards/rejected": 0.0004818170564249158,
|
94 |
+
"step": 5
|
95 |
+
},
|
96 |
+
{
|
97 |
+
"epoch": 0.07904487443392343,
|
98 |
+
"grad_norm": 0.5541566610336304,
|
99 |
+
"learning_rate": 3.75e-07,
|
100 |
+
"logits/chosen": 10.660999298095703,
|
101 |
+
"logits/rejected": 11.290507316589355,
|
102 |
+
"logps/chosen": -127.00320434570312,
|
103 |
+
"logps/ref_chosen": -126.12411499023438,
|
104 |
+
"logps/ref_rejected": -136.9976043701172,
|
105 |
+
"logps/rejected": -137.75950622558594,
|
106 |
+
"loss": 0.6938,
|
107 |
+
"rewards/accuracies": 0.46875,
|
108 |
+
"rewards/chosen": -0.00879070907831192,
|
109 |
+
"rewards/margins": -0.0011717069428414106,
|
110 |
+
"rewards/rejected": -0.007619001902639866,
|
111 |
+
"step": 6
|
112 |
+
},
|
113 |
+
{
|
114 |
+
"epoch": 0.09221902017291066,
|
115 |
+
"grad_norm": 0.4422788619995117,
|
116 |
+
"learning_rate": 4.375e-07,
|
117 |
+
"logits/chosen": 9.958097457885742,
|
118 |
+
"logits/rejected": 10.642163276672363,
|
119 |
+
"logps/chosen": -115.61244201660156,
|
120 |
+
"logps/ref_chosen": -115.08863830566406,
|
121 |
+
"logps/ref_rejected": -125.91255187988281,
|
122 |
+
"logps/rejected": -126.15577697753906,
|
123 |
+
"loss": 0.6946,
|
124 |
+
"rewards/accuracies": 0.4375,
|
125 |
+
"rewards/chosen": -0.005238103214651346,
|
126 |
+
"rewards/margins": -0.0028058765456080437,
|
127 |
+
"rewards/rejected": -0.002432226436212659,
|
128 |
+
"step": 7
|
129 |
+
},
|
130 |
+
{
|
131 |
+
"epoch": 0.1053931659118979,
|
132 |
+
"grad_norm": 0.5495327115058899,
|
133 |
+
"learning_rate": 5e-07,
|
134 |
+
"logits/chosen": 10.345503807067871,
|
135 |
+
"logits/rejected": 10.97708797454834,
|
136 |
+
"logps/chosen": -121.48406982421875,
|
137 |
+
"logps/ref_chosen": -121.4114761352539,
|
138 |
+
"logps/ref_rejected": -134.62770080566406,
|
139 |
+
"logps/rejected": -134.7586212158203,
|
140 |
+
"loss": 0.6929,
|
141 |
+
"rewards/accuracies": 0.5078125,
|
142 |
+
"rewards/chosen": -0.0007259202538989484,
|
143 |
+
"rewards/margins": 0.0005832896567881107,
|
144 |
+
"rewards/rejected": -0.0013092098524793983,
|
145 |
+
"step": 8
|
146 |
+
},
|
147 |
+
{
|
148 |
+
"epoch": 0.11856731165088513,
|
149 |
+
"grad_norm": 0.43922048807144165,
|
150 |
+
"learning_rate": 4.997252228714278e-07,
|
151 |
+
"logits/chosen": 10.159126281738281,
|
152 |
+
"logits/rejected": 11.002123832702637,
|
153 |
+
"logps/chosen": -122.51399230957031,
|
154 |
+
"logps/ref_chosen": -121.59207153320312,
|
155 |
+
"logps/ref_rejected": -134.70025634765625,
|
156 |
+
"logps/rejected": -135.55740356445312,
|
157 |
+
"loss": 0.6935,
|
158 |
+
"rewards/accuracies": 0.4453125,
|
159 |
+
"rewards/chosen": -0.00921926274895668,
|
160 |
+
"rewards/margins": -0.0006479143630713224,
|
161 |
+
"rewards/rejected": -0.008571348153054714,
|
162 |
+
"step": 9
|
163 |
+
},
|
164 |
+
{
|
165 |
+
"epoch": 0.13174145738987236,
|
166 |
+
"grad_norm": 0.6643485426902771,
|
167 |
+
"learning_rate": 4.989014955054745e-07,
|
168 |
+
"logits/chosen": 9.9464111328125,
|
169 |
+
"logits/rejected": 10.739057540893555,
|
170 |
+
"logps/chosen": -117.91310119628906,
|
171 |
+
"logps/ref_chosen": -117.16349029541016,
|
172 |
+
"logps/ref_rejected": -129.98167419433594,
|
173 |
+
"logps/rejected": -130.65924072265625,
|
174 |
+
"loss": 0.6935,
|
175 |
+
"rewards/accuracies": 0.5,
|
176 |
+
"rewards/chosen": -0.007496046833693981,
|
177 |
+
"rewards/margins": -0.0007203805143944919,
|
178 |
+
"rewards/rejected": -0.00677566509693861,
|
179 |
+
"step": 10
|
180 |
+
},
|
181 |
+
{
|
182 |
+
"epoch": 0.14491560312885962,
|
183 |
+
"grad_norm": 0.4432956576347351,
|
184 |
+
"learning_rate": 4.975306286336627e-07,
|
185 |
+
"logits/chosen": 10.095781326293945,
|
186 |
+
"logits/rejected": 11.001167297363281,
|
187 |
+
"logps/chosen": -123.26506042480469,
|
188 |
+
"logps/ref_chosen": -121.95927429199219,
|
189 |
+
"logps/ref_rejected": -136.18655395507812,
|
190 |
+
"logps/rejected": -137.39865112304688,
|
191 |
+
"loss": 0.6936,
|
192 |
+
"rewards/accuracies": 0.46875,
|
193 |
+
"rewards/chosen": -0.01305788941681385,
|
194 |
+
"rewards/margins": -0.0009369202307425439,
|
195 |
+
"rewards/rejected": -0.012120969593524933,
|
196 |
+
"step": 11
|
197 |
+
},
|
198 |
+
{
|
199 |
+
"epoch": 0.15808974886784685,
|
200 |
+
"grad_norm": 0.3955974280834198,
|
201 |
+
"learning_rate": 4.956156357188939e-07,
|
202 |
+
"logits/chosen": 10.129995346069336,
|
203 |
+
"logits/rejected": 10.673677444458008,
|
204 |
+
"logps/chosen": -126.05357360839844,
|
205 |
+
"logps/ref_chosen": -124.12315368652344,
|
206 |
+
"logps/ref_rejected": -134.275390625,
|
207 |
+
"logps/rejected": -136.24940490722656,
|
208 |
+
"loss": 0.693,
|
209 |
+
"rewards/accuracies": 0.5234375,
|
210 |
+
"rewards/chosen": -0.01930420845746994,
|
211 |
+
"rewards/margins": 0.00043603626545518637,
|
212 |
+
"rewards/rejected": -0.01974024437367916,
|
213 |
+
"step": 12
|
214 |
+
},
|
215 |
+
{
|
216 |
+
"epoch": 0.17126389460683408,
|
217 |
+
"grad_norm": 0.4873650074005127,
|
218 |
+
"learning_rate": 4.931607263312032e-07,
|
219 |
+
"logits/chosen": 9.8243989944458,
|
220 |
+
"logits/rejected": 10.843228340148926,
|
221 |
+
"logps/chosen": -119.30509185791016,
|
222 |
+
"logps/ref_chosen": -116.83765411376953,
|
223 |
+
"logps/ref_rejected": -130.78997802734375,
|
224 |
+
"logps/rejected": -133.15672302246094,
|
225 |
+
"loss": 0.6937,
|
226 |
+
"rewards/accuracies": 0.4453125,
|
227 |
+
"rewards/chosen": -0.024674497544765472,
|
228 |
+
"rewards/margins": -0.0010069820564240217,
|
229 |
+
"rewards/rejected": -0.02366751804947853,
|
230 |
+
"step": 13
|
231 |
+
},
|
232 |
+
{
|
233 |
+
"epoch": 0.1844380403458213,
|
234 |
+
"grad_norm": 0.8769639134407043,
|
235 |
+
"learning_rate": 4.9017129689421e-07,
|
236 |
+
"logits/chosen": 10.427848815917969,
|
237 |
+
"logits/rejected": 11.37716293334961,
|
238 |
+
"logps/chosen": -120.9067611694336,
|
239 |
+
"logps/ref_chosen": -118.43791961669922,
|
240 |
+
"logps/ref_rejected": -132.5309600830078,
|
241 |
+
"logps/rejected": -134.91236877441406,
|
242 |
+
"loss": 0.6936,
|
243 |
+
"rewards/accuracies": 0.46875,
|
244 |
+
"rewards/chosen": -0.02468838170170784,
|
245 |
+
"rewards/margins": -0.0008744060760363936,
|
246 |
+
"rewards/rejected": -0.023813974112272263,
|
247 |
+
"step": 14
|
248 |
+
},
|
249 |
+
{
|
250 |
+
"epoch": 0.19761218608480857,
|
251 |
+
"grad_norm": 0.8736073970794678,
|
252 |
+
"learning_rate": 4.866539188226085e-07,
|
253 |
+
"logits/chosen": 9.956391334533691,
|
254 |
+
"logits/rejected": 10.684510231018066,
|
255 |
+
"logps/chosen": -128.198486328125,
|
256 |
+
"logps/ref_chosen": -124.82101440429688,
|
257 |
+
"logps/ref_rejected": -135.32565307617188,
|
258 |
+
"logps/rejected": -138.8860626220703,
|
259 |
+
"loss": 0.6923,
|
260 |
+
"rewards/accuracies": 0.5234375,
|
261 |
+
"rewards/chosen": -0.033774565905332565,
|
262 |
+
"rewards/margins": 0.0018295131158083677,
|
263 |
+
"rewards/rejected": -0.0356040820479393,
|
264 |
+
"step": 15
|
265 |
+
},
|
266 |
+
{
|
267 |
+
"epoch": 0.2107863318237958,
|
268 |
+
"grad_norm": 0.7293412089347839,
|
269 |
+
"learning_rate": 4.826163240767716e-07,
|
270 |
+
"logits/chosen": 10.677412033081055,
|
271 |
+
"logits/rejected": 11.254134178161621,
|
272 |
+
"logps/chosen": -122.79344940185547,
|
273 |
+
"logps/ref_chosen": -119.69990539550781,
|
274 |
+
"logps/ref_rejected": -130.34449768066406,
|
275 |
+
"logps/rejected": -133.39932250976562,
|
276 |
+
"loss": 0.6934,
|
277 |
+
"rewards/accuracies": 0.484375,
|
278 |
+
"rewards/chosen": -0.030935294926166534,
|
279 |
+
"rewards/margins": -0.0003869622596539557,
|
280 |
+
"rewards/rejected": -0.030548332259058952,
|
281 |
+
"step": 16
|
282 |
+
},
|
283 |
+
{
|
284 |
+
"epoch": 0.22396047756278303,
|
285 |
+
"grad_norm": 0.6406402587890625,
|
286 |
+
"learning_rate": 4.780673881662242e-07,
|
287 |
+
"logits/chosen": 10.172043800354004,
|
288 |
+
"logits/rejected": 10.859190940856934,
|
289 |
+
"logps/chosen": -118.11813354492188,
|
290 |
+
"logps/ref_chosen": -114.52975463867188,
|
291 |
+
"logps/ref_rejected": -129.5846405029297,
|
292 |
+
"logps/rejected": -133.20779418945312,
|
293 |
+
"loss": 0.6931,
|
294 |
+
"rewards/accuracies": 0.5078125,
|
295 |
+
"rewards/chosen": -0.035883828997612,
|
296 |
+
"rewards/margins": 0.00034771906211972237,
|
297 |
+
"rewards/rejected": -0.036231543868780136,
|
298 |
+
"step": 17
|
299 |
+
},
|
300 |
+
{
|
301 |
+
"epoch": 0.23713462330177026,
|
302 |
+
"grad_norm": 0.7559142708778381,
|
303 |
+
"learning_rate": 4.730171106393466e-07,
|
304 |
+
"logits/chosen": 10.747884750366211,
|
305 |
+
"logits/rejected": 11.173224449157715,
|
306 |
+
"logps/chosen": -121.89351654052734,
|
307 |
+
"logps/ref_chosen": -117.67997741699219,
|
308 |
+
"logps/ref_rejected": -128.00650024414062,
|
309 |
+
"logps/rejected": -132.31655883789062,
|
310 |
+
"loss": 0.6928,
|
311 |
+
"rewards/accuracies": 0.546875,
|
312 |
+
"rewards/chosen": -0.042135339230298996,
|
313 |
+
"rewards/margins": 0.0009651560103520751,
|
314 |
+
"rewards/rejected": -0.043100498616695404,
|
315 |
+
"step": 18
|
316 |
+
},
|
317 |
+
{
|
318 |
+
"epoch": 0.2503087690407575,
|
319 |
+
"grad_norm": 0.49808746576309204,
|
320 |
+
"learning_rate": 4.6747659310219757e-07,
|
321 |
+
"logits/chosen": 10.380050659179688,
|
322 |
+
"logits/rejected": 10.91146469116211,
|
323 |
+
"logps/chosen": -125.04395294189453,
|
324 |
+
"logps/ref_chosen": -120.92308044433594,
|
325 |
+
"logps/ref_rejected": -133.8301544189453,
|
326 |
+
"logps/rejected": -138.79052734375,
|
327 |
+
"loss": 0.689,
|
328 |
+
"rewards/accuracies": 0.6328125,
|
329 |
+
"rewards/chosen": -0.0412086620926857,
|
330 |
+
"rewards/margins": 0.008395083248615265,
|
331 |
+
"rewards/rejected": -0.04960374906659126,
|
332 |
+
"step": 19
|
333 |
+
},
|
334 |
+
{
|
335 |
+
"epoch": 0.2634829147797447,
|
336 |
+
"grad_norm": 0.5601547956466675,
|
337 |
+
"learning_rate": 4.6145801481477433e-07,
|
338 |
+
"logits/chosen": 10.563058853149414,
|
339 |
+
"logits/rejected": 11.37236499786377,
|
340 |
+
"logps/chosen": -126.93672180175781,
|
341 |
+
"logps/ref_chosen": -121.84554290771484,
|
342 |
+
"logps/ref_rejected": -133.343017578125,
|
343 |
+
"logps/rejected": -138.12808227539062,
|
344 |
+
"loss": 0.6948,
|
345 |
+
"rewards/accuracies": 0.4375,
|
346 |
+
"rewards/chosen": -0.050911907106637955,
|
347 |
+
"rewards/margins": -0.0030612414702773094,
|
348 |
+
"rewards/rejected": -0.04785066470503807,
|
349 |
+
"step": 20
|
350 |
+
},
|
351 |
+
{
|
352 |
+
"epoch": 0.276657060518732,
|
353 |
+
"grad_norm": 0.41351014375686646,
|
354 |
+
"learning_rate": 4.549746059183561e-07,
|
355 |
+
"logits/chosen": 9.687071800231934,
|
356 |
+
"logits/rejected": 10.572582244873047,
|
357 |
+
"logps/chosen": -124.77998352050781,
|
358 |
+
"logps/ref_chosen": -119.20828247070312,
|
359 |
+
"logps/ref_rejected": -134.38436889648438,
|
360 |
+
"logps/rejected": -140.02293395996094,
|
361 |
+
"loss": 0.6929,
|
362 |
+
"rewards/accuracies": 0.515625,
|
363 |
+
"rewards/chosen": -0.055717017501592636,
|
364 |
+
"rewards/margins": 0.0006685962434858084,
|
365 |
+
"rewards/rejected": -0.056385621428489685,
|
366 |
+
"step": 21
|
367 |
+
},
|
368 |
+
{
|
369 |
+
"epoch": 0.28983120625771924,
|
370 |
+
"grad_norm": 0.6027271747589111,
|
371 |
+
"learning_rate": 4.480406183527823e-07,
|
372 |
+
"logits/chosen": 10.03482437133789,
|
373 |
+
"logits/rejected": 10.820859909057617,
|
374 |
+
"logps/chosen": -121.17003631591797,
|
375 |
+
"logps/ref_chosen": -114.62059020996094,
|
376 |
+
"logps/ref_rejected": -128.0896759033203,
|
377 |
+
"logps/rejected": -134.1069793701172,
|
378 |
+
"loss": 0.6959,
|
379 |
+
"rewards/accuracies": 0.484375,
|
380 |
+
"rewards/chosen": -0.06549445539712906,
|
381 |
+
"rewards/margins": -0.005321440752595663,
|
382 |
+
"rewards/rejected": -0.06017300859093666,
|
383 |
+
"step": 22
|
384 |
+
},
|
385 |
+
{
|
386 |
+
"epoch": 0.3030053519967065,
|
387 |
+
"grad_norm": 0.5877695083618164,
|
388 |
+
"learning_rate": 4.4067129452759546e-07,
|
389 |
+
"logits/chosen": 10.00536060333252,
|
390 |
+
"logits/rejected": 10.877461433410645,
|
391 |
+
"logps/chosen": -124.2905044555664,
|
392 |
+
"logps/ref_chosen": -117.84042358398438,
|
393 |
+
"logps/ref_rejected": -131.79171752929688,
|
394 |
+
"logps/rejected": -137.91160583496094,
|
395 |
+
"loss": 0.6949,
|
396 |
+
"rewards/accuracies": 0.46875,
|
397 |
+
"rewards/chosen": -0.06450086086988449,
|
398 |
+
"rewards/margins": -0.0033018956892192364,
|
399 |
+
"rewards/rejected": -0.061198972165584564,
|
400 |
+
"step": 23
|
401 |
+
},
|
402 |
+
{
|
403 |
+
"epoch": 0.3161794977356937,
|
404 |
+
"grad_norm": 0.5177574157714844,
|
405 |
+
"learning_rate": 4.3288283381591725e-07,
|
406 |
+
"logits/chosen": 10.104101181030273,
|
407 |
+
"logits/rejected": 10.70304012298584,
|
408 |
+
"logps/chosen": -129.96224975585938,
|
409 |
+
"logps/ref_chosen": -123.75523376464844,
|
410 |
+
"logps/ref_rejected": -138.6237030029297,
|
411 |
+
"logps/rejected": -144.98983764648438,
|
412 |
+
"loss": 0.6925,
|
413 |
+
"rewards/accuracies": 0.53125,
|
414 |
+
"rewards/chosen": -0.062070075422525406,
|
415 |
+
"rewards/margins": 0.0015914504183456302,
|
416 |
+
"rewards/rejected": -0.06366152316331863,
|
417 |
+
"step": 24
|
418 |
+
}
|
419 |
+
],
|
420 |
+
"logging_steps": 1,
|
421 |
+
"max_steps": 75,
|
422 |
+
"num_input_tokens_seen": 0,
|
423 |
+
"num_train_epochs": 1,
|
424 |
+
"save_steps": 12,
|
425 |
+
"stateful_callbacks": {
|
426 |
+
"TrainerControl": {
|
427 |
+
"args": {
|
428 |
+
"should_epoch_stop": false,
|
429 |
+
"should_evaluate": false,
|
430 |
+
"should_log": false,
|
431 |
+
"should_save": true,
|
432 |
+
"should_training_stop": false
|
433 |
+
},
|
434 |
+
"attributes": {}
|
435 |
+
}
|
436 |
+
},
|
437 |
+
"total_flos": 0.0,
|
438 |
+
"train_batch_size": 2,
|
439 |
+
"trial_name": null,
|
440 |
+
"trial_params": null
|
441 |
+
}
|
checkpoint-36/added_tokens.json
ADDED
@@ -0,0 +1,13 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"<|assistant|>": 32001,
|
3 |
+
"<|endoftext|>": 32000,
|
4 |
+
"<|end|>": 32007,
|
5 |
+
"<|placeholder1|>": 32002,
|
6 |
+
"<|placeholder2|>": 32003,
|
7 |
+
"<|placeholder3|>": 32004,
|
8 |
+
"<|placeholder4|>": 32005,
|
9 |
+
"<|placeholder5|>": 32008,
|
10 |
+
"<|placeholder6|>": 32009,
|
11 |
+
"<|system|>": 32006,
|
12 |
+
"<|user|>": 32010
|
13 |
+
}
|
checkpoint-36/config.json
ADDED
@@ -0,0 +1,36 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"_name_or_path": "/home/v-liuzichuan/huggingface/Phi-3-mini-4k-instruct",
|
3 |
+
"architectures": [
|
4 |
+
"Phi3ForCausalLM"
|
5 |
+
],
|
6 |
+
"attention_bias": false,
|
7 |
+
"attention_dropout": 0.0,
|
8 |
+
"auto_map": {
|
9 |
+
"AutoConfig": "configuration_phi3.Phi3Config",
|
10 |
+
"AutoModelForCausalLM": "modeling_phi3.Phi3ForCausalLM"
|
11 |
+
},
|
12 |
+
"bos_token_id": 1,
|
13 |
+
"embd_pdrop": 0.0,
|
14 |
+
"eos_token_id": 32000,
|
15 |
+
"hidden_act": "silu",
|
16 |
+
"hidden_size": 3072,
|
17 |
+
"initializer_range": 0.02,
|
18 |
+
"intermediate_size": 8192,
|
19 |
+
"max_position_embeddings": 4096,
|
20 |
+
"model_type": "phi3",
|
21 |
+
"num_attention_heads": 32,
|
22 |
+
"num_hidden_layers": 32,
|
23 |
+
"num_key_value_heads": 32,
|
24 |
+
"original_max_position_embeddings": 4096,
|
25 |
+
"pad_token_id": 32000,
|
26 |
+
"resid_pdrop": 0.0,
|
27 |
+
"rms_norm_eps": 1e-05,
|
28 |
+
"rope_scaling": null,
|
29 |
+
"rope_theta": 10000.0,
|
30 |
+
"sliding_window": 2047,
|
31 |
+
"tie_word_embeddings": false,
|
32 |
+
"torch_dtype": "bfloat16",
|
33 |
+
"transformers_version": "4.45.2",
|
34 |
+
"use_cache": false,
|
35 |
+
"vocab_size": 32064
|
36 |
+
}
|
checkpoint-36/generation_config.json
ADDED
@@ -0,0 +1,11 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"_from_model_config": true,
|
3 |
+
"bos_token_id": 1,
|
4 |
+
"eos_token_id": [
|
5 |
+
32000,
|
6 |
+
32001,
|
7 |
+
32007
|
8 |
+
],
|
9 |
+
"pad_token_id": 32000,
|
10 |
+
"transformers_version": "4.45.2"
|
11 |
+
}
|
checkpoint-36/model-00001-of-00002.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:ee6e417d669e8449a2627edc7cc788ab939043a4f1fd1dcbf0751661de451c1b
|
3 |
+
size 4972489328
|
checkpoint-36/model-00002-of-00002.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:15b28a1f60fc94e11d835ed75dee3439ba5ac7f0bb26be01d96b5df081fe3ccf
|
3 |
+
size 2669692552
|
checkpoint-36/model.safetensors.index.json
ADDED
@@ -0,0 +1,202 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"metadata": {
|
3 |
+
"total_size": 7642159104
|
4 |
+
},
|
5 |
+
"weight_map": {
|
6 |
+
"lm_head.weight": "model-00002-of-00002.safetensors",
|
7 |
+
"model.embed_tokens.weight": "model-00001-of-00002.safetensors",
|
8 |
+
"model.layers.0.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
9 |
+
"model.layers.0.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
10 |
+
"model.layers.0.mlp.gate_up_proj.weight": "model-00001-of-00002.safetensors",
|
11 |
+
"model.layers.0.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
12 |
+
"model.layers.0.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
13 |
+
"model.layers.0.self_attn.qkv_proj.weight": "model-00001-of-00002.safetensors",
|
14 |
+
"model.layers.1.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
15 |
+
"model.layers.1.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
16 |
+
"model.layers.1.mlp.gate_up_proj.weight": "model-00001-of-00002.safetensors",
|
17 |
+
"model.layers.1.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
18 |
+
"model.layers.1.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
19 |
+
"model.layers.1.self_attn.qkv_proj.weight": "model-00001-of-00002.safetensors",
|
20 |
+
"model.layers.10.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
21 |
+
"model.layers.10.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
22 |
+
"model.layers.10.mlp.gate_up_proj.weight": "model-00001-of-00002.safetensors",
|
23 |
+
"model.layers.10.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
24 |
+
"model.layers.10.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
25 |
+
"model.layers.10.self_attn.qkv_proj.weight": "model-00001-of-00002.safetensors",
|
26 |
+
"model.layers.11.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
27 |
+
"model.layers.11.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
28 |
+
"model.layers.11.mlp.gate_up_proj.weight": "model-00001-of-00002.safetensors",
|
29 |
+
"model.layers.11.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
30 |
+
"model.layers.11.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
31 |
+
"model.layers.11.self_attn.qkv_proj.weight": "model-00001-of-00002.safetensors",
|
32 |
+
"model.layers.12.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
33 |
+
"model.layers.12.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
34 |
+
"model.layers.12.mlp.gate_up_proj.weight": "model-00001-of-00002.safetensors",
|
35 |
+
"model.layers.12.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
36 |
+
"model.layers.12.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
37 |
+
"model.layers.12.self_attn.qkv_proj.weight": "model-00001-of-00002.safetensors",
|
38 |
+
"model.layers.13.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
39 |
+
"model.layers.13.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
40 |
+
"model.layers.13.mlp.gate_up_proj.weight": "model-00001-of-00002.safetensors",
|
41 |
+
"model.layers.13.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
42 |
+
"model.layers.13.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
43 |
+
"model.layers.13.self_attn.qkv_proj.weight": "model-00001-of-00002.safetensors",
|
44 |
+
"model.layers.14.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
45 |
+
"model.layers.14.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
46 |
+
"model.layers.14.mlp.gate_up_proj.weight": "model-00001-of-00002.safetensors",
|
47 |
+
"model.layers.14.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
48 |
+
"model.layers.14.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
49 |
+
"model.layers.14.self_attn.qkv_proj.weight": "model-00001-of-00002.safetensors",
|
50 |
+
"model.layers.15.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
51 |
+
"model.layers.15.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
52 |
+
"model.layers.15.mlp.gate_up_proj.weight": "model-00001-of-00002.safetensors",
|
53 |
+
"model.layers.15.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
54 |
+
"model.layers.15.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
55 |
+
"model.layers.15.self_attn.qkv_proj.weight": "model-00001-of-00002.safetensors",
|
56 |
+
"model.layers.16.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
57 |
+
"model.layers.16.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
58 |
+
"model.layers.16.mlp.gate_up_proj.weight": "model-00001-of-00002.safetensors",
|
59 |
+
"model.layers.16.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
60 |
+
"model.layers.16.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
61 |
+
"model.layers.16.self_attn.qkv_proj.weight": "model-00001-of-00002.safetensors",
|
62 |
+
"model.layers.17.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
63 |
+
"model.layers.17.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
64 |
+
"model.layers.17.mlp.gate_up_proj.weight": "model-00001-of-00002.safetensors",
|
65 |
+
"model.layers.17.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
66 |
+
"model.layers.17.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
67 |
+
"model.layers.17.self_attn.qkv_proj.weight": "model-00001-of-00002.safetensors",
|
68 |
+
"model.layers.18.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
69 |
+
"model.layers.18.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
70 |
+
"model.layers.18.mlp.gate_up_proj.weight": "model-00001-of-00002.safetensors",
|
71 |
+
"model.layers.18.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
72 |
+
"model.layers.18.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
73 |
+
"model.layers.18.self_attn.qkv_proj.weight": "model-00001-of-00002.safetensors",
|
74 |
+
"model.layers.19.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
75 |
+
"model.layers.19.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
76 |
+
"model.layers.19.mlp.gate_up_proj.weight": "model-00001-of-00002.safetensors",
|
77 |
+
"model.layers.19.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
78 |
+
"model.layers.19.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
79 |
+
"model.layers.19.self_attn.qkv_proj.weight": "model-00001-of-00002.safetensors",
|
80 |
+
"model.layers.2.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
81 |
+
"model.layers.2.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
82 |
+
"model.layers.2.mlp.gate_up_proj.weight": "model-00001-of-00002.safetensors",
|
83 |
+
"model.layers.2.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
84 |
+
"model.layers.2.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
85 |
+
"model.layers.2.self_attn.qkv_proj.weight": "model-00001-of-00002.safetensors",
|
86 |
+
"model.layers.20.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
87 |
+
"model.layers.20.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
88 |
+
"model.layers.20.mlp.gate_up_proj.weight": "model-00001-of-00002.safetensors",
|
89 |
+
"model.layers.20.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
90 |
+
"model.layers.20.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
91 |
+
"model.layers.20.self_attn.qkv_proj.weight": "model-00001-of-00002.safetensors",
|
92 |
+
"model.layers.21.input_layernorm.weight": "model-00002-of-00002.safetensors",
|
93 |
+
"model.layers.21.mlp.down_proj.weight": "model-00002-of-00002.safetensors",
|
94 |
+
"model.layers.21.mlp.gate_up_proj.weight": "model-00002-of-00002.safetensors",
|
95 |
+
"model.layers.21.post_attention_layernorm.weight": "model-00002-of-00002.safetensors",
|
96 |
+
"model.layers.21.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
97 |
+
"model.layers.21.self_attn.qkv_proj.weight": "model-00002-of-00002.safetensors",
|
98 |
+
"model.layers.22.input_layernorm.weight": "model-00002-of-00002.safetensors",
|
99 |
+
"model.layers.22.mlp.down_proj.weight": "model-00002-of-00002.safetensors",
|
100 |
+
"model.layers.22.mlp.gate_up_proj.weight": "model-00002-of-00002.safetensors",
|
101 |
+
"model.layers.22.post_attention_layernorm.weight": "model-00002-of-00002.safetensors",
|
102 |
+
"model.layers.22.self_attn.o_proj.weight": "model-00002-of-00002.safetensors",
|
103 |
+
"model.layers.22.self_attn.qkv_proj.weight": "model-00002-of-00002.safetensors",
|
104 |
+
"model.layers.23.input_layernorm.weight": "model-00002-of-00002.safetensors",
|
105 |
+
"model.layers.23.mlp.down_proj.weight": "model-00002-of-00002.safetensors",
|
106 |
+
"model.layers.23.mlp.gate_up_proj.weight": "model-00002-of-00002.safetensors",
|
107 |
+
"model.layers.23.post_attention_layernorm.weight": "model-00002-of-00002.safetensors",
|
108 |
+
"model.layers.23.self_attn.o_proj.weight": "model-00002-of-00002.safetensors",
|
109 |
+
"model.layers.23.self_attn.qkv_proj.weight": "model-00002-of-00002.safetensors",
|
110 |
+
"model.layers.24.input_layernorm.weight": "model-00002-of-00002.safetensors",
|
111 |
+
"model.layers.24.mlp.down_proj.weight": "model-00002-of-00002.safetensors",
|
112 |
+
"model.layers.24.mlp.gate_up_proj.weight": "model-00002-of-00002.safetensors",
|
113 |
+
"model.layers.24.post_attention_layernorm.weight": "model-00002-of-00002.safetensors",
|
114 |
+
"model.layers.24.self_attn.o_proj.weight": "model-00002-of-00002.safetensors",
|
115 |
+
"model.layers.24.self_attn.qkv_proj.weight": "model-00002-of-00002.safetensors",
|
116 |
+
"model.layers.25.input_layernorm.weight": "model-00002-of-00002.safetensors",
|
117 |
+
"model.layers.25.mlp.down_proj.weight": "model-00002-of-00002.safetensors",
|
118 |
+
"model.layers.25.mlp.gate_up_proj.weight": "model-00002-of-00002.safetensors",
|
119 |
+
"model.layers.25.post_attention_layernorm.weight": "model-00002-of-00002.safetensors",
|
120 |
+
"model.layers.25.self_attn.o_proj.weight": "model-00002-of-00002.safetensors",
|
121 |
+
"model.layers.25.self_attn.qkv_proj.weight": "model-00002-of-00002.safetensors",
|
122 |
+
"model.layers.26.input_layernorm.weight": "model-00002-of-00002.safetensors",
|
123 |
+
"model.layers.26.mlp.down_proj.weight": "model-00002-of-00002.safetensors",
|
124 |
+
"model.layers.26.mlp.gate_up_proj.weight": "model-00002-of-00002.safetensors",
|
125 |
+
"model.layers.26.post_attention_layernorm.weight": "model-00002-of-00002.safetensors",
|
126 |
+
"model.layers.26.self_attn.o_proj.weight": "model-00002-of-00002.safetensors",
|
127 |
+
"model.layers.26.self_attn.qkv_proj.weight": "model-00002-of-00002.safetensors",
|
128 |
+
"model.layers.27.input_layernorm.weight": "model-00002-of-00002.safetensors",
|
129 |
+
"model.layers.27.mlp.down_proj.weight": "model-00002-of-00002.safetensors",
|
130 |
+
"model.layers.27.mlp.gate_up_proj.weight": "model-00002-of-00002.safetensors",
|
131 |
+
"model.layers.27.post_attention_layernorm.weight": "model-00002-of-00002.safetensors",
|
132 |
+
"model.layers.27.self_attn.o_proj.weight": "model-00002-of-00002.safetensors",
|
133 |
+
"model.layers.27.self_attn.qkv_proj.weight": "model-00002-of-00002.safetensors",
|
134 |
+
"model.layers.28.input_layernorm.weight": "model-00002-of-00002.safetensors",
|
135 |
+
"model.layers.28.mlp.down_proj.weight": "model-00002-of-00002.safetensors",
|
136 |
+
"model.layers.28.mlp.gate_up_proj.weight": "model-00002-of-00002.safetensors",
|
137 |
+
"model.layers.28.post_attention_layernorm.weight": "model-00002-of-00002.safetensors",
|
138 |
+
"model.layers.28.self_attn.o_proj.weight": "model-00002-of-00002.safetensors",
|
139 |
+
"model.layers.28.self_attn.qkv_proj.weight": "model-00002-of-00002.safetensors",
|
140 |
+
"model.layers.29.input_layernorm.weight": "model-00002-of-00002.safetensors",
|
141 |
+
"model.layers.29.mlp.down_proj.weight": "model-00002-of-00002.safetensors",
|
142 |
+
"model.layers.29.mlp.gate_up_proj.weight": "model-00002-of-00002.safetensors",
|
143 |
+
"model.layers.29.post_attention_layernorm.weight": "model-00002-of-00002.safetensors",
|
144 |
+
"model.layers.29.self_attn.o_proj.weight": "model-00002-of-00002.safetensors",
|
145 |
+
"model.layers.29.self_attn.qkv_proj.weight": "model-00002-of-00002.safetensors",
|
146 |
+
"model.layers.3.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
147 |
+
"model.layers.3.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
148 |
+
"model.layers.3.mlp.gate_up_proj.weight": "model-00001-of-00002.safetensors",
|
149 |
+
"model.layers.3.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
150 |
+
"model.layers.3.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
151 |
+
"model.layers.3.self_attn.qkv_proj.weight": "model-00001-of-00002.safetensors",
|
152 |
+
"model.layers.30.input_layernorm.weight": "model-00002-of-00002.safetensors",
|
153 |
+
"model.layers.30.mlp.down_proj.weight": "model-00002-of-00002.safetensors",
|
154 |
+
"model.layers.30.mlp.gate_up_proj.weight": "model-00002-of-00002.safetensors",
|
155 |
+
"model.layers.30.post_attention_layernorm.weight": "model-00002-of-00002.safetensors",
|
156 |
+
"model.layers.30.self_attn.o_proj.weight": "model-00002-of-00002.safetensors",
|
157 |
+
"model.layers.30.self_attn.qkv_proj.weight": "model-00002-of-00002.safetensors",
|
158 |
+
"model.layers.31.input_layernorm.weight": "model-00002-of-00002.safetensors",
|
159 |
+
"model.layers.31.mlp.down_proj.weight": "model-00002-of-00002.safetensors",
|
160 |
+
"model.layers.31.mlp.gate_up_proj.weight": "model-00002-of-00002.safetensors",
|
161 |
+
"model.layers.31.post_attention_layernorm.weight": "model-00002-of-00002.safetensors",
|
162 |
+
"model.layers.31.self_attn.o_proj.weight": "model-00002-of-00002.safetensors",
|
163 |
+
"model.layers.31.self_attn.qkv_proj.weight": "model-00002-of-00002.safetensors",
|
164 |
+
"model.layers.4.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
165 |
+
"model.layers.4.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
166 |
+
"model.layers.4.mlp.gate_up_proj.weight": "model-00001-of-00002.safetensors",
|
167 |
+
"model.layers.4.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
168 |
+
"model.layers.4.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
169 |
+
"model.layers.4.self_attn.qkv_proj.weight": "model-00001-of-00002.safetensors",
|
170 |
+
"model.layers.5.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
171 |
+
"model.layers.5.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
172 |
+
"model.layers.5.mlp.gate_up_proj.weight": "model-00001-of-00002.safetensors",
|
173 |
+
"model.layers.5.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
174 |
+
"model.layers.5.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
175 |
+
"model.layers.5.self_attn.qkv_proj.weight": "model-00001-of-00002.safetensors",
|
176 |
+
"model.layers.6.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
177 |
+
"model.layers.6.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
178 |
+
"model.layers.6.mlp.gate_up_proj.weight": "model-00001-of-00002.safetensors",
|
179 |
+
"model.layers.6.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
180 |
+
"model.layers.6.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
181 |
+
"model.layers.6.self_attn.qkv_proj.weight": "model-00001-of-00002.safetensors",
|
182 |
+
"model.layers.7.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
183 |
+
"model.layers.7.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
184 |
+
"model.layers.7.mlp.gate_up_proj.weight": "model-00001-of-00002.safetensors",
|
185 |
+
"model.layers.7.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
186 |
+
"model.layers.7.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
187 |
+
"model.layers.7.self_attn.qkv_proj.weight": "model-00001-of-00002.safetensors",
|
188 |
+
"model.layers.8.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
189 |
+
"model.layers.8.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
190 |
+
"model.layers.8.mlp.gate_up_proj.weight": "model-00001-of-00002.safetensors",
|
191 |
+
"model.layers.8.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
192 |
+
"model.layers.8.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
193 |
+
"model.layers.8.self_attn.qkv_proj.weight": "model-00001-of-00002.safetensors",
|
194 |
+
"model.layers.9.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
195 |
+
"model.layers.9.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
196 |
+
"model.layers.9.mlp.gate_up_proj.weight": "model-00001-of-00002.safetensors",
|
197 |
+
"model.layers.9.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
198 |
+
"model.layers.9.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
199 |
+
"model.layers.9.self_attn.qkv_proj.weight": "model-00001-of-00002.safetensors",
|
200 |
+
"model.norm.weight": "model-00002-of-00002.safetensors"
|
201 |
+
}
|
202 |
+
}
|
checkpoint-36/special_tokens_map.json
ADDED
@@ -0,0 +1,30 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"bos_token": {
|
3 |
+
"content": "<s>",
|
4 |
+
"lstrip": false,
|
5 |
+
"normalized": false,
|
6 |
+
"rstrip": false,
|
7 |
+
"single_word": false
|
8 |
+
},
|
9 |
+
"eos_token": {
|
10 |
+
"content": "<|endoftext|>",
|
11 |
+
"lstrip": false,
|
12 |
+
"normalized": false,
|
13 |
+
"rstrip": false,
|
14 |
+
"single_word": false
|
15 |
+
},
|
16 |
+
"pad_token": {
|
17 |
+
"content": "<|endoftext|>",
|
18 |
+
"lstrip": false,
|
19 |
+
"normalized": false,
|
20 |
+
"rstrip": false,
|
21 |
+
"single_word": false
|
22 |
+
},
|
23 |
+
"unk_token": {
|
24 |
+
"content": "<unk>",
|
25 |
+
"lstrip": false,
|
26 |
+
"normalized": false,
|
27 |
+
"rstrip": false,
|
28 |
+
"single_word": false
|
29 |
+
}
|
30 |
+
}
|
checkpoint-36/tokenizer.json
ADDED
The diff for this file is too large to render.
See raw diff
|
|
checkpoint-36/tokenizer_config.json
ADDED
@@ -0,0 +1,131 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"add_bos_token": false,
|
3 |
+
"add_eos_token": false,
|
4 |
+
"add_prefix_space": null,
|
5 |
+
"added_tokens_decoder": {
|
6 |
+
"0": {
|
7 |
+
"content": "<unk>",
|
8 |
+
"lstrip": false,
|
9 |
+
"normalized": false,
|
10 |
+
"rstrip": false,
|
11 |
+
"single_word": false,
|
12 |
+
"special": true
|
13 |
+
},
|
14 |
+
"1": {
|
15 |
+
"content": "<s>",
|
16 |
+
"lstrip": false,
|
17 |
+
"normalized": false,
|
18 |
+
"rstrip": false,
|
19 |
+
"single_word": false,
|
20 |
+
"special": true
|
21 |
+
},
|
22 |
+
"2": {
|
23 |
+
"content": "</s>",
|
24 |
+
"lstrip": false,
|
25 |
+
"normalized": false,
|
26 |
+
"rstrip": true,
|
27 |
+
"single_word": false,
|
28 |
+
"special": false
|
29 |
+
},
|
30 |
+
"32000": {
|
31 |
+
"content": "<|endoftext|>",
|
32 |
+
"lstrip": false,
|
33 |
+
"normalized": false,
|
34 |
+
"rstrip": false,
|
35 |
+
"single_word": false,
|
36 |
+
"special": true
|
37 |
+
},
|
38 |
+
"32001": {
|
39 |
+
"content": "<|assistant|>",
|
40 |
+
"lstrip": false,
|
41 |
+
"normalized": false,
|
42 |
+
"rstrip": true,
|
43 |
+
"single_word": false,
|
44 |
+
"special": true
|
45 |
+
},
|
46 |
+
"32002": {
|
47 |
+
"content": "<|placeholder1|>",
|
48 |
+
"lstrip": false,
|
49 |
+
"normalized": false,
|
50 |
+
"rstrip": true,
|
51 |
+
"single_word": false,
|
52 |
+
"special": true
|
53 |
+
},
|
54 |
+
"32003": {
|
55 |
+
"content": "<|placeholder2|>",
|
56 |
+
"lstrip": false,
|
57 |
+
"normalized": false,
|
58 |
+
"rstrip": true,
|
59 |
+
"single_word": false,
|
60 |
+
"special": true
|
61 |
+
},
|
62 |
+
"32004": {
|
63 |
+
"content": "<|placeholder3|>",
|
64 |
+
"lstrip": false,
|
65 |
+
"normalized": false,
|
66 |
+
"rstrip": true,
|
67 |
+
"single_word": false,
|
68 |
+
"special": true
|
69 |
+
},
|
70 |
+
"32005": {
|
71 |
+
"content": "<|placeholder4|>",
|
72 |
+
"lstrip": false,
|
73 |
+
"normalized": false,
|
74 |
+
"rstrip": true,
|
75 |
+
"single_word": false,
|
76 |
+
"special": true
|
77 |
+
},
|
78 |
+
"32006": {
|
79 |
+
"content": "<|system|>",
|
80 |
+
"lstrip": false,
|
81 |
+
"normalized": false,
|
82 |
+
"rstrip": true,
|
83 |
+
"single_word": false,
|
84 |
+
"special": true
|
85 |
+
},
|
86 |
+
"32007": {
|
87 |
+
"content": "<|end|>",
|
88 |
+
"lstrip": false,
|
89 |
+
"normalized": false,
|
90 |
+
"rstrip": true,
|
91 |
+
"single_word": false,
|
92 |
+
"special": true
|
93 |
+
},
|
94 |
+
"32008": {
|
95 |
+
"content": "<|placeholder5|>",
|
96 |
+
"lstrip": false,
|
97 |
+
"normalized": false,
|
98 |
+
"rstrip": true,
|
99 |
+
"single_word": false,
|
100 |
+
"special": true
|
101 |
+
},
|
102 |
+
"32009": {
|
103 |
+
"content": "<|placeholder6|>",
|
104 |
+
"lstrip": false,
|
105 |
+
"normalized": false,
|
106 |
+
"rstrip": true,
|
107 |
+
"single_word": false,
|
108 |
+
"special": true
|
109 |
+
},
|
110 |
+
"32010": {
|
111 |
+
"content": "<|user|>",
|
112 |
+
"lstrip": false,
|
113 |
+
"normalized": false,
|
114 |
+
"rstrip": true,
|
115 |
+
"single_word": false,
|
116 |
+
"special": true
|
117 |
+
}
|
118 |
+
},
|
119 |
+
"bos_token": "<s>",
|
120 |
+
"chat_template": "{% for message in messages %}{% if message['role'] == 'system' %}{{'<|system|>\n' + message['content'] + '<|end|>\n'}}{% elif message['role'] == 'user' %}{{'<|user|>\n' + message['content'] + '<|end|>\n'}}{% elif message['role'] == 'assistant' %}{{'<|assistant|>\n' + message['content'] + '<|end|>\n'}}{% endif %}{% endfor %}{% if add_generation_prompt %}{{ '<|assistant|>\n' }}{% else %}{{ eos_token }}{% endif %}",
|
121 |
+
"clean_up_tokenization_spaces": false,
|
122 |
+
"eos_token": "<|endoftext|>",
|
123 |
+
"legacy": false,
|
124 |
+
"model_max_length": 4096,
|
125 |
+
"pad_token": "<|endoftext|>",
|
126 |
+
"padding_side": "left",
|
127 |
+
"sp_model_kwargs": {},
|
128 |
+
"tokenizer_class": "LlamaTokenizer",
|
129 |
+
"unk_token": "<unk>",
|
130 |
+
"use_default_system_prompt": false
|
131 |
+
}
|
checkpoint-36/trainer_state.json
ADDED
@@ -0,0 +1,645 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": null,
|
3 |
+
"best_model_checkpoint": null,
|
4 |
+
"epoch": 0.47426924660354053,
|
5 |
+
"eval_steps": 500,
|
6 |
+
"global_step": 36,
|
7 |
+
"is_hyper_param_search": false,
|
8 |
+
"is_local_process_zero": true,
|
9 |
+
"is_world_process_zero": true,
|
10 |
+
"log_history": [
|
11 |
+
{
|
12 |
+
"epoch": 0.013174145738987238,
|
13 |
+
"grad_norm": 0.39343583583831787,
|
14 |
+
"learning_rate": 6.25e-08,
|
15 |
+
"logits/chosen": 10.071717262268066,
|
16 |
+
"logits/rejected": 10.610974311828613,
|
17 |
+
"logps/chosen": -121.14067077636719,
|
18 |
+
"logps/ref_chosen": -121.14067077636719,
|
19 |
+
"logps/ref_rejected": -137.65684509277344,
|
20 |
+
"logps/rejected": -137.65684509277344,
|
21 |
+
"loss": 0.6931,
|
22 |
+
"rewards/accuracies": 0.0,
|
23 |
+
"rewards/chosen": 0.0,
|
24 |
+
"rewards/margins": 0.0,
|
25 |
+
"rewards/rejected": 0.0,
|
26 |
+
"step": 1
|
27 |
+
},
|
28 |
+
{
|
29 |
+
"epoch": 0.026348291477974475,
|
30 |
+
"grad_norm": 0.7521647214889526,
|
31 |
+
"learning_rate": 1.25e-07,
|
32 |
+
"logits/chosen": 10.222262382507324,
|
33 |
+
"logits/rejected": 10.754176139831543,
|
34 |
+
"logps/chosen": -116.48068237304688,
|
35 |
+
"logps/ref_chosen": -116.48068237304688,
|
36 |
+
"logps/ref_rejected": -130.27796936035156,
|
37 |
+
"logps/rejected": -130.27796936035156,
|
38 |
+
"loss": 0.6931,
|
39 |
+
"rewards/accuracies": 0.0,
|
40 |
+
"rewards/chosen": 0.0,
|
41 |
+
"rewards/margins": 0.0,
|
42 |
+
"rewards/rejected": 0.0,
|
43 |
+
"step": 2
|
44 |
+
},
|
45 |
+
{
|
46 |
+
"epoch": 0.03952243721696171,
|
47 |
+
"grad_norm": 0.5880491137504578,
|
48 |
+
"learning_rate": 1.875e-07,
|
49 |
+
"logits/chosen": 10.01984977722168,
|
50 |
+
"logits/rejected": 10.62405776977539,
|
51 |
+
"logps/chosen": -123.36822509765625,
|
52 |
+
"logps/ref_chosen": -122.6683349609375,
|
53 |
+
"logps/ref_rejected": -132.69850158691406,
|
54 |
+
"logps/rejected": -133.207275390625,
|
55 |
+
"loss": 0.6941,
|
56 |
+
"rewards/accuracies": 0.4453125,
|
57 |
+
"rewards/chosen": -0.006998830940574408,
|
58 |
+
"rewards/margins": -0.0019110905705019832,
|
59 |
+
"rewards/rejected": -0.005087739787995815,
|
60 |
+
"step": 3
|
61 |
+
},
|
62 |
+
{
|
63 |
+
"epoch": 0.05269658295594895,
|
64 |
+
"grad_norm": 0.4605408310890198,
|
65 |
+
"learning_rate": 2.5e-07,
|
66 |
+
"logits/chosen": 9.99990463256836,
|
67 |
+
"logits/rejected": 10.736846923828125,
|
68 |
+
"logps/chosen": -123.02133178710938,
|
69 |
+
"logps/ref_chosen": -122.59739685058594,
|
70 |
+
"logps/ref_rejected": -129.70767211914062,
|
71 |
+
"logps/rejected": -129.98374938964844,
|
72 |
+
"loss": 0.6939,
|
73 |
+
"rewards/accuracies": 0.4765625,
|
74 |
+
"rewards/chosen": -0.004239337984472513,
|
75 |
+
"rewards/margins": -0.0014785109087824821,
|
76 |
+
"rewards/rejected": -0.0027608266100287437,
|
77 |
+
"step": 4
|
78 |
+
},
|
79 |
+
{
|
80 |
+
"epoch": 0.06587072869493618,
|
81 |
+
"grad_norm": 0.469856321811676,
|
82 |
+
"learning_rate": 3.1249999999999997e-07,
|
83 |
+
"logits/chosen": 10.075482368469238,
|
84 |
+
"logits/rejected": 10.892666816711426,
|
85 |
+
"logps/chosen": -117.554931640625,
|
86 |
+
"logps/ref_chosen": -117.5941162109375,
|
87 |
+
"logps/ref_rejected": -132.1708984375,
|
88 |
+
"logps/rejected": -132.1227264404297,
|
89 |
+
"loss": 0.6932,
|
90 |
+
"rewards/accuracies": 0.546875,
|
91 |
+
"rewards/chosen": 0.0003917121794074774,
|
92 |
+
"rewards/margins": -9.010493522509933e-05,
|
93 |
+
"rewards/rejected": 0.0004818170564249158,
|
94 |
+
"step": 5
|
95 |
+
},
|
96 |
+
{
|
97 |
+
"epoch": 0.07904487443392343,
|
98 |
+
"grad_norm": 0.5541566610336304,
|
99 |
+
"learning_rate": 3.75e-07,
|
100 |
+
"logits/chosen": 10.660999298095703,
|
101 |
+
"logits/rejected": 11.290507316589355,
|
102 |
+
"logps/chosen": -127.00320434570312,
|
103 |
+
"logps/ref_chosen": -126.12411499023438,
|
104 |
+
"logps/ref_rejected": -136.9976043701172,
|
105 |
+
"logps/rejected": -137.75950622558594,
|
106 |
+
"loss": 0.6938,
|
107 |
+
"rewards/accuracies": 0.46875,
|
108 |
+
"rewards/chosen": -0.00879070907831192,
|
109 |
+
"rewards/margins": -0.0011717069428414106,
|
110 |
+
"rewards/rejected": -0.007619001902639866,
|
111 |
+
"step": 6
|
112 |
+
},
|
113 |
+
{
|
114 |
+
"epoch": 0.09221902017291066,
|
115 |
+
"grad_norm": 0.4422788619995117,
|
116 |
+
"learning_rate": 4.375e-07,
|
117 |
+
"logits/chosen": 9.958097457885742,
|
118 |
+
"logits/rejected": 10.642163276672363,
|
119 |
+
"logps/chosen": -115.61244201660156,
|
120 |
+
"logps/ref_chosen": -115.08863830566406,
|
121 |
+
"logps/ref_rejected": -125.91255187988281,
|
122 |
+
"logps/rejected": -126.15577697753906,
|
123 |
+
"loss": 0.6946,
|
124 |
+
"rewards/accuracies": 0.4375,
|
125 |
+
"rewards/chosen": -0.005238103214651346,
|
126 |
+
"rewards/margins": -0.0028058765456080437,
|
127 |
+
"rewards/rejected": -0.002432226436212659,
|
128 |
+
"step": 7
|
129 |
+
},
|
130 |
+
{
|
131 |
+
"epoch": 0.1053931659118979,
|
132 |
+
"grad_norm": 0.5495327115058899,
|
133 |
+
"learning_rate": 5e-07,
|
134 |
+
"logits/chosen": 10.345503807067871,
|
135 |
+
"logits/rejected": 10.97708797454834,
|
136 |
+
"logps/chosen": -121.48406982421875,
|
137 |
+
"logps/ref_chosen": -121.4114761352539,
|
138 |
+
"logps/ref_rejected": -134.62770080566406,
|
139 |
+
"logps/rejected": -134.7586212158203,
|
140 |
+
"loss": 0.6929,
|
141 |
+
"rewards/accuracies": 0.5078125,
|
142 |
+
"rewards/chosen": -0.0007259202538989484,
|
143 |
+
"rewards/margins": 0.0005832896567881107,
|
144 |
+
"rewards/rejected": -0.0013092098524793983,
|
145 |
+
"step": 8
|
146 |
+
},
|
147 |
+
{
|
148 |
+
"epoch": 0.11856731165088513,
|
149 |
+
"grad_norm": 0.43922048807144165,
|
150 |
+
"learning_rate": 4.997252228714278e-07,
|
151 |
+
"logits/chosen": 10.159126281738281,
|
152 |
+
"logits/rejected": 11.002123832702637,
|
153 |
+
"logps/chosen": -122.51399230957031,
|
154 |
+
"logps/ref_chosen": -121.59207153320312,
|
155 |
+
"logps/ref_rejected": -134.70025634765625,
|
156 |
+
"logps/rejected": -135.55740356445312,
|
157 |
+
"loss": 0.6935,
|
158 |
+
"rewards/accuracies": 0.4453125,
|
159 |
+
"rewards/chosen": -0.00921926274895668,
|
160 |
+
"rewards/margins": -0.0006479143630713224,
|
161 |
+
"rewards/rejected": -0.008571348153054714,
|
162 |
+
"step": 9
|
163 |
+
},
|
164 |
+
{
|
165 |
+
"epoch": 0.13174145738987236,
|
166 |
+
"grad_norm": 0.6643485426902771,
|
167 |
+
"learning_rate": 4.989014955054745e-07,
|
168 |
+
"logits/chosen": 9.9464111328125,
|
169 |
+
"logits/rejected": 10.739057540893555,
|
170 |
+
"logps/chosen": -117.91310119628906,
|
171 |
+
"logps/ref_chosen": -117.16349029541016,
|
172 |
+
"logps/ref_rejected": -129.98167419433594,
|
173 |
+
"logps/rejected": -130.65924072265625,
|
174 |
+
"loss": 0.6935,
|
175 |
+
"rewards/accuracies": 0.5,
|
176 |
+
"rewards/chosen": -0.007496046833693981,
|
177 |
+
"rewards/margins": -0.0007203805143944919,
|
178 |
+
"rewards/rejected": -0.00677566509693861,
|
179 |
+
"step": 10
|
180 |
+
},
|
181 |
+
{
|
182 |
+
"epoch": 0.14491560312885962,
|
183 |
+
"grad_norm": 0.4432956576347351,
|
184 |
+
"learning_rate": 4.975306286336627e-07,
|
185 |
+
"logits/chosen": 10.095781326293945,
|
186 |
+
"logits/rejected": 11.001167297363281,
|
187 |
+
"logps/chosen": -123.26506042480469,
|
188 |
+
"logps/ref_chosen": -121.95927429199219,
|
189 |
+
"logps/ref_rejected": -136.18655395507812,
|
190 |
+
"logps/rejected": -137.39865112304688,
|
191 |
+
"loss": 0.6936,
|
192 |
+
"rewards/accuracies": 0.46875,
|
193 |
+
"rewards/chosen": -0.01305788941681385,
|
194 |
+
"rewards/margins": -0.0009369202307425439,
|
195 |
+
"rewards/rejected": -0.012120969593524933,
|
196 |
+
"step": 11
|
197 |
+
},
|
198 |
+
{
|
199 |
+
"epoch": 0.15808974886784685,
|
200 |
+
"grad_norm": 0.3955974280834198,
|
201 |
+
"learning_rate": 4.956156357188939e-07,
|
202 |
+
"logits/chosen": 10.129995346069336,
|
203 |
+
"logits/rejected": 10.673677444458008,
|
204 |
+
"logps/chosen": -126.05357360839844,
|
205 |
+
"logps/ref_chosen": -124.12315368652344,
|
206 |
+
"logps/ref_rejected": -134.275390625,
|
207 |
+
"logps/rejected": -136.24940490722656,
|
208 |
+
"loss": 0.693,
|
209 |
+
"rewards/accuracies": 0.5234375,
|
210 |
+
"rewards/chosen": -0.01930420845746994,
|
211 |
+
"rewards/margins": 0.00043603626545518637,
|
212 |
+
"rewards/rejected": -0.01974024437367916,
|
213 |
+
"step": 12
|
214 |
+
},
|
215 |
+
{
|
216 |
+
"epoch": 0.17126389460683408,
|
217 |
+
"grad_norm": 0.4873650074005127,
|
218 |
+
"learning_rate": 4.931607263312032e-07,
|
219 |
+
"logits/chosen": 9.8243989944458,
|
220 |
+
"logits/rejected": 10.843228340148926,
|
221 |
+
"logps/chosen": -119.30509185791016,
|
222 |
+
"logps/ref_chosen": -116.83765411376953,
|
223 |
+
"logps/ref_rejected": -130.78997802734375,
|
224 |
+
"logps/rejected": -133.15672302246094,
|
225 |
+
"loss": 0.6937,
|
226 |
+
"rewards/accuracies": 0.4453125,
|
227 |
+
"rewards/chosen": -0.024674497544765472,
|
228 |
+
"rewards/margins": -0.0010069820564240217,
|
229 |
+
"rewards/rejected": -0.02366751804947853,
|
230 |
+
"step": 13
|
231 |
+
},
|
232 |
+
{
|
233 |
+
"epoch": 0.1844380403458213,
|
234 |
+
"grad_norm": 0.8769639134407043,
|
235 |
+
"learning_rate": 4.9017129689421e-07,
|
236 |
+
"logits/chosen": 10.427848815917969,
|
237 |
+
"logits/rejected": 11.37716293334961,
|
238 |
+
"logps/chosen": -120.9067611694336,
|
239 |
+
"logps/ref_chosen": -118.43791961669922,
|
240 |
+
"logps/ref_rejected": -132.5309600830078,
|
241 |
+
"logps/rejected": -134.91236877441406,
|
242 |
+
"loss": 0.6936,
|
243 |
+
"rewards/accuracies": 0.46875,
|
244 |
+
"rewards/chosen": -0.02468838170170784,
|
245 |
+
"rewards/margins": -0.0008744060760363936,
|
246 |
+
"rewards/rejected": -0.023813974112272263,
|
247 |
+
"step": 14
|
248 |
+
},
|
249 |
+
{
|
250 |
+
"epoch": 0.19761218608480857,
|
251 |
+
"grad_norm": 0.8736073970794678,
|
252 |
+
"learning_rate": 4.866539188226085e-07,
|
253 |
+
"logits/chosen": 9.956391334533691,
|
254 |
+
"logits/rejected": 10.684510231018066,
|
255 |
+
"logps/chosen": -128.198486328125,
|
256 |
+
"logps/ref_chosen": -124.82101440429688,
|
257 |
+
"logps/ref_rejected": -135.32565307617188,
|
258 |
+
"logps/rejected": -138.8860626220703,
|
259 |
+
"loss": 0.6923,
|
260 |
+
"rewards/accuracies": 0.5234375,
|
261 |
+
"rewards/chosen": -0.033774565905332565,
|
262 |
+
"rewards/margins": 0.0018295131158083677,
|
263 |
+
"rewards/rejected": -0.0356040820479393,
|
264 |
+
"step": 15
|
265 |
+
},
|
266 |
+
{
|
267 |
+
"epoch": 0.2107863318237958,
|
268 |
+
"grad_norm": 0.7293412089347839,
|
269 |
+
"learning_rate": 4.826163240767716e-07,
|
270 |
+
"logits/chosen": 10.677412033081055,
|
271 |
+
"logits/rejected": 11.254134178161621,
|
272 |
+
"logps/chosen": -122.79344940185547,
|
273 |
+
"logps/ref_chosen": -119.69990539550781,
|
274 |
+
"logps/ref_rejected": -130.34449768066406,
|
275 |
+
"logps/rejected": -133.39932250976562,
|
276 |
+
"loss": 0.6934,
|
277 |
+
"rewards/accuracies": 0.484375,
|
278 |
+
"rewards/chosen": -0.030935294926166534,
|
279 |
+
"rewards/margins": -0.0003869622596539557,
|
280 |
+
"rewards/rejected": -0.030548332259058952,
|
281 |
+
"step": 16
|
282 |
+
},
|
283 |
+
{
|
284 |
+
"epoch": 0.22396047756278303,
|
285 |
+
"grad_norm": 0.6406402587890625,
|
286 |
+
"learning_rate": 4.780673881662242e-07,
|
287 |
+
"logits/chosen": 10.172043800354004,
|
288 |
+
"logits/rejected": 10.859190940856934,
|
289 |
+
"logps/chosen": -118.11813354492188,
|
290 |
+
"logps/ref_chosen": -114.52975463867188,
|
291 |
+
"logps/ref_rejected": -129.5846405029297,
|
292 |
+
"logps/rejected": -133.20779418945312,
|
293 |
+
"loss": 0.6931,
|
294 |
+
"rewards/accuracies": 0.5078125,
|
295 |
+
"rewards/chosen": -0.035883828997612,
|
296 |
+
"rewards/margins": 0.00034771906211972237,
|
297 |
+
"rewards/rejected": -0.036231543868780136,
|
298 |
+
"step": 17
|
299 |
+
},
|
300 |
+
{
|
301 |
+
"epoch": 0.23713462330177026,
|
302 |
+
"grad_norm": 0.7559142708778381,
|
303 |
+
"learning_rate": 4.730171106393466e-07,
|
304 |
+
"logits/chosen": 10.747884750366211,
|
305 |
+
"logits/rejected": 11.173224449157715,
|
306 |
+
"logps/chosen": -121.89351654052734,
|
307 |
+
"logps/ref_chosen": -117.67997741699219,
|
308 |
+
"logps/ref_rejected": -128.00650024414062,
|
309 |
+
"logps/rejected": -132.31655883789062,
|
310 |
+
"loss": 0.6928,
|
311 |
+
"rewards/accuracies": 0.546875,
|
312 |
+
"rewards/chosen": -0.042135339230298996,
|
313 |
+
"rewards/margins": 0.0009651560103520751,
|
314 |
+
"rewards/rejected": -0.043100498616695404,
|
315 |
+
"step": 18
|
316 |
+
},
|
317 |
+
{
|
318 |
+
"epoch": 0.2503087690407575,
|
319 |
+
"grad_norm": 0.49808746576309204,
|
320 |
+
"learning_rate": 4.6747659310219757e-07,
|
321 |
+
"logits/chosen": 10.380050659179688,
|
322 |
+
"logits/rejected": 10.91146469116211,
|
323 |
+
"logps/chosen": -125.04395294189453,
|
324 |
+
"logps/ref_chosen": -120.92308044433594,
|
325 |
+
"logps/ref_rejected": -133.8301544189453,
|
326 |
+
"logps/rejected": -138.79052734375,
|
327 |
+
"loss": 0.689,
|
328 |
+
"rewards/accuracies": 0.6328125,
|
329 |
+
"rewards/chosen": -0.0412086620926857,
|
330 |
+
"rewards/margins": 0.008395083248615265,
|
331 |
+
"rewards/rejected": -0.04960374906659126,
|
332 |
+
"step": 19
|
333 |
+
},
|
334 |
+
{
|
335 |
+
"epoch": 0.2634829147797447,
|
336 |
+
"grad_norm": 0.5601547956466675,
|
337 |
+
"learning_rate": 4.6145801481477433e-07,
|
338 |
+
"logits/chosen": 10.563058853149414,
|
339 |
+
"logits/rejected": 11.37236499786377,
|
340 |
+
"logps/chosen": -126.93672180175781,
|
341 |
+
"logps/ref_chosen": -121.84554290771484,
|
342 |
+
"logps/ref_rejected": -133.343017578125,
|
343 |
+
"logps/rejected": -138.12808227539062,
|
344 |
+
"loss": 0.6948,
|
345 |
+
"rewards/accuracies": 0.4375,
|
346 |
+
"rewards/chosen": -0.050911907106637955,
|
347 |
+
"rewards/margins": -0.0030612414702773094,
|
348 |
+
"rewards/rejected": -0.04785066470503807,
|
349 |
+
"step": 20
|
350 |
+
},
|
351 |
+
{
|
352 |
+
"epoch": 0.276657060518732,
|
353 |
+
"grad_norm": 0.41351014375686646,
|
354 |
+
"learning_rate": 4.549746059183561e-07,
|
355 |
+
"logits/chosen": 9.687071800231934,
|
356 |
+
"logits/rejected": 10.572582244873047,
|
357 |
+
"logps/chosen": -124.77998352050781,
|
358 |
+
"logps/ref_chosen": -119.20828247070312,
|
359 |
+
"logps/ref_rejected": -134.38436889648438,
|
360 |
+
"logps/rejected": -140.02293395996094,
|
361 |
+
"loss": 0.6929,
|
362 |
+
"rewards/accuracies": 0.515625,
|
363 |
+
"rewards/chosen": -0.055717017501592636,
|
364 |
+
"rewards/margins": 0.0006685962434858084,
|
365 |
+
"rewards/rejected": -0.056385621428489685,
|
366 |
+
"step": 21
|
367 |
+
},
|
368 |
+
{
|
369 |
+
"epoch": 0.28983120625771924,
|
370 |
+
"grad_norm": 0.6027271747589111,
|
371 |
+
"learning_rate": 4.480406183527823e-07,
|
372 |
+
"logits/chosen": 10.03482437133789,
|
373 |
+
"logits/rejected": 10.820859909057617,
|
374 |
+
"logps/chosen": -121.17003631591797,
|
375 |
+
"logps/ref_chosen": -114.62059020996094,
|
376 |
+
"logps/ref_rejected": -128.0896759033203,
|
377 |
+
"logps/rejected": -134.1069793701172,
|
378 |
+
"loss": 0.6959,
|
379 |
+
"rewards/accuracies": 0.484375,
|
380 |
+
"rewards/chosen": -0.06549445539712906,
|
381 |
+
"rewards/margins": -0.005321440752595663,
|
382 |
+
"rewards/rejected": -0.06017300859093666,
|
383 |
+
"step": 22
|
384 |
+
},
|
385 |
+
{
|
386 |
+
"epoch": 0.3030053519967065,
|
387 |
+
"grad_norm": 0.5877695083618164,
|
388 |
+
"learning_rate": 4.4067129452759546e-07,
|
389 |
+
"logits/chosen": 10.00536060333252,
|
390 |
+
"logits/rejected": 10.877461433410645,
|
391 |
+
"logps/chosen": -124.2905044555664,
|
392 |
+
"logps/ref_chosen": -117.84042358398438,
|
393 |
+
"logps/ref_rejected": -131.79171752929688,
|
394 |
+
"logps/rejected": -137.91160583496094,
|
395 |
+
"loss": 0.6949,
|
396 |
+
"rewards/accuracies": 0.46875,
|
397 |
+
"rewards/chosen": -0.06450086086988449,
|
398 |
+
"rewards/margins": -0.0033018956892192364,
|
399 |
+
"rewards/rejected": -0.061198972165584564,
|
400 |
+
"step": 23
|
401 |
+
},
|
402 |
+
{
|
403 |
+
"epoch": 0.3161794977356937,
|
404 |
+
"grad_norm": 0.5177574157714844,
|
405 |
+
"learning_rate": 4.3288283381591725e-07,
|
406 |
+
"logits/chosen": 10.104101181030273,
|
407 |
+
"logits/rejected": 10.70304012298584,
|
408 |
+
"logps/chosen": -129.96224975585938,
|
409 |
+
"logps/ref_chosen": -123.75523376464844,
|
410 |
+
"logps/ref_rejected": -138.6237030029297,
|
411 |
+
"logps/rejected": -144.98983764648438,
|
412 |
+
"loss": 0.6925,
|
413 |
+
"rewards/accuracies": 0.53125,
|
414 |
+
"rewards/chosen": -0.062070075422525406,
|
415 |
+
"rewards/margins": 0.0015914504183456302,
|
416 |
+
"rewards/rejected": -0.06366152316331863,
|
417 |
+
"step": 24
|
418 |
+
},
|
419 |
+
{
|
420 |
+
"epoch": 0.32935364347468093,
|
421 |
+
"grad_norm": 0.57741379737854,
|
422 |
+
"learning_rate": 4.246923569447104e-07,
|
423 |
+
"logits/chosen": 10.097904205322266,
|
424 |
+
"logits/rejected": 10.884883880615234,
|
425 |
+
"logps/chosen": -130.04393005371094,
|
426 |
+
"logps/ref_chosen": -122.53610229492188,
|
427 |
+
"logps/ref_rejected": -141.00828552246094,
|
428 |
+
"logps/rejected": -148.18405151367188,
|
429 |
+
"loss": 0.695,
|
430 |
+
"rewards/accuracies": 0.4609375,
|
431 |
+
"rewards/chosen": -0.07507827132940292,
|
432 |
+
"rewards/margins": -0.003320657880976796,
|
433 |
+
"rewards/rejected": -0.07175761461257935,
|
434 |
+
"step": 25
|
435 |
+
},
|
436 |
+
{
|
437 |
+
"epoch": 0.34252778921366817,
|
438 |
+
"grad_norm": 0.5819231867790222,
|
439 |
+
"learning_rate": 4.161178683597054e-07,
|
440 |
+
"logits/chosen": 10.32345199584961,
|
441 |
+
"logits/rejected": 11.267877578735352,
|
442 |
+
"logps/chosen": -132.95077514648438,
|
443 |
+
"logps/ref_chosen": -124.1744384765625,
|
444 |
+
"logps/ref_rejected": -139.68605041503906,
|
445 |
+
"logps/rejected": -148.0929718017578,
|
446 |
+
"loss": 0.6952,
|
447 |
+
"rewards/accuracies": 0.484375,
|
448 |
+
"rewards/chosen": -0.08776339888572693,
|
449 |
+
"rewards/margins": -0.0036940835416316986,
|
450 |
+
"rewards/rejected": -0.08406931161880493,
|
451 |
+
"step": 26
|
452 |
+
},
|
453 |
+
{
|
454 |
+
"epoch": 0.3557019349526554,
|
455 |
+
"grad_norm": 0.6049931645393372,
|
456 |
+
"learning_rate": 4.0717821664772124e-07,
|
457 |
+
"logits/chosen": 10.15705394744873,
|
458 |
+
"logits/rejected": 11.114046096801758,
|
459 |
+
"logps/chosen": -125.23123931884766,
|
460 |
+
"logps/ref_chosen": -117.1941146850586,
|
461 |
+
"logps/ref_rejected": -129.4031982421875,
|
462 |
+
"logps/rejected": -137.76333618164062,
|
463 |
+
"loss": 0.6918,
|
464 |
+
"rewards/accuracies": 0.5390625,
|
465 |
+
"rewards/chosen": -0.08037131279706955,
|
466 |
+
"rewards/margins": 0.0032299975864589214,
|
467 |
+
"rewards/rejected": -0.08360131084918976,
|
468 |
+
"step": 27
|
469 |
+
},
|
470 |
+
{
|
471 |
+
"epoch": 0.3688760806916426,
|
472 |
+
"grad_norm": 0.5475514531135559,
|
473 |
+
"learning_rate": 3.978930531033806e-07,
|
474 |
+
"logits/chosen": 9.436954498291016,
|
475 |
+
"logits/rejected": 10.49735164642334,
|
476 |
+
"logps/chosen": -125.24280548095703,
|
477 |
+
"logps/ref_chosen": -117.17620086669922,
|
478 |
+
"logps/ref_rejected": -130.76107788085938,
|
479 |
+
"logps/rejected": -138.6796875,
|
480 |
+
"loss": 0.6941,
|
481 |
+
"rewards/accuracies": 0.5078125,
|
482 |
+
"rewards/chosen": -0.08066616207361221,
|
483 |
+
"rewards/margins": -0.001479951897636056,
|
484 |
+
"rewards/rejected": -0.07918620854616165,
|
485 |
+
"step": 28
|
486 |
+
},
|
487 |
+
{
|
488 |
+
"epoch": 0.3820502264306299,
|
489 |
+
"grad_norm": 0.599656343460083,
|
490 |
+
"learning_rate": 3.882827885312998e-07,
|
491 |
+
"logits/chosen": 10.068204879760742,
|
492 |
+
"logits/rejected": 10.938701629638672,
|
493 |
+
"logps/chosen": -130.98472595214844,
|
494 |
+
"logps/ref_chosen": -123.2500228881836,
|
495 |
+
"logps/ref_rejected": -133.91970825195312,
|
496 |
+
"logps/rejected": -141.19216918945312,
|
497 |
+
"loss": 0.6957,
|
498 |
+
"rewards/accuracies": 0.453125,
|
499 |
+
"rewards/chosen": -0.07734709233045578,
|
500 |
+
"rewards/margins": -0.004622358828783035,
|
501 |
+
"rewards/rejected": -0.07272473722696304,
|
502 |
+
"step": 29
|
503 |
+
},
|
504 |
+
{
|
505 |
+
"epoch": 0.39522437216961714,
|
506 |
+
"grad_norm": 0.4804610311985016,
|
507 |
+
"learning_rate": 3.7836854837871044e-07,
|
508 |
+
"logits/chosen": 10.131808280944824,
|
509 |
+
"logits/rejected": 11.42764663696289,
|
510 |
+
"logps/chosen": -127.49568176269531,
|
511 |
+
"logps/ref_chosen": -118.52604675292969,
|
512 |
+
"logps/ref_rejected": -139.1146240234375,
|
513 |
+
"logps/rejected": -147.99575805664062,
|
514 |
+
"loss": 0.6938,
|
515 |
+
"rewards/accuracies": 0.5390625,
|
516 |
+
"rewards/chosen": -0.08969634026288986,
|
517 |
+
"rewards/margins": -0.0008849686128087342,
|
518 |
+
"rewards/rejected": -0.08881138265132904,
|
519 |
+
"step": 30
|
520 |
+
},
|
521 |
+
{
|
522 |
+
"epoch": 0.4083985179086044,
|
523 |
+
"grad_norm": 0.4208291471004486,
|
524 |
+
"learning_rate": 3.681721262971413e-07,
|
525 |
+
"logits/chosen": 9.75320816040039,
|
526 |
+
"logits/rejected": 10.846428871154785,
|
527 |
+
"logps/chosen": -119.75810241699219,
|
528 |
+
"logps/ref_chosen": -111.525146484375,
|
529 |
+
"logps/ref_rejected": -128.1785888671875,
|
530 |
+
"logps/rejected": -136.38653564453125,
|
531 |
+
"loss": 0.6935,
|
532 |
+
"rewards/accuracies": 0.515625,
|
533 |
+
"rewards/chosen": -0.08232954144477844,
|
534 |
+
"rewards/margins": -0.00024991348618641496,
|
535 |
+
"rewards/rejected": -0.08207963407039642,
|
536 |
+
"step": 31
|
537 |
+
},
|
538 |
+
{
|
539 |
+
"epoch": 0.4215726636475916,
|
540 |
+
"grad_norm": 0.7168395519256592,
|
541 |
+
"learning_rate": 3.577159362352426e-07,
|
542 |
+
"logits/chosen": 9.947325706481934,
|
543 |
+
"logits/rejected": 11.155643463134766,
|
544 |
+
"logps/chosen": -124.97373962402344,
|
545 |
+
"logps/ref_chosen": -116.80255126953125,
|
546 |
+
"logps/ref_rejected": -134.80767822265625,
|
547 |
+
"logps/rejected": -142.88174438476562,
|
548 |
+
"loss": 0.6939,
|
549 |
+
"rewards/accuracies": 0.4296875,
|
550 |
+
"rewards/chosen": -0.08171181380748749,
|
551 |
+
"rewards/margins": -0.0009711601305752993,
|
552 |
+
"rewards/rejected": -0.08074064552783966,
|
553 |
+
"step": 32
|
554 |
+
},
|
555 |
+
{
|
556 |
+
"epoch": 0.43474680938657884,
|
557 |
+
"grad_norm": 1.1801953315734863,
|
558 |
+
"learning_rate": 3.470229631680624e-07,
|
559 |
+
"logits/chosen": 10.00582504272461,
|
560 |
+
"logits/rejected": 10.817474365234375,
|
561 |
+
"logps/chosen": -127.24813842773438,
|
562 |
+
"logps/ref_chosen": -118.635009765625,
|
563 |
+
"logps/ref_rejected": -133.8279571533203,
|
564 |
+
"logps/rejected": -142.4803924560547,
|
565 |
+
"loss": 0.6932,
|
566 |
+
"rewards/accuracies": 0.4765625,
|
567 |
+
"rewards/chosen": -0.08613133430480957,
|
568 |
+
"rewards/margins": 0.0003930249949917197,
|
569 |
+
"rewards/rejected": -0.0865243598818779,
|
570 |
+
"step": 33
|
571 |
+
},
|
572 |
+
{
|
573 |
+
"epoch": 0.44792095512556607,
|
574 |
+
"grad_norm": 0.5862898230552673,
|
575 |
+
"learning_rate": 3.361167125710832e-07,
|
576 |
+
"logits/chosen": 10.005105972290039,
|
577 |
+
"logits/rejected": 10.864886283874512,
|
578 |
+
"logps/chosen": -135.84164428710938,
|
579 |
+
"logps/ref_chosen": -126.42659759521484,
|
580 |
+
"logps/ref_rejected": -143.6361846923828,
|
581 |
+
"logps/rejected": -153.5630340576172,
|
582 |
+
"loss": 0.6909,
|
583 |
+
"rewards/accuracies": 0.5390625,
|
584 |
+
"rewards/chosen": -0.09415031969547272,
|
585 |
+
"rewards/margins": 0.005118116270750761,
|
586 |
+
"rewards/rejected": -0.09926842898130417,
|
587 |
+
"step": 34
|
588 |
+
},
|
589 |
+
{
|
590 |
+
"epoch": 0.4610951008645533,
|
591 |
+
"grad_norm": 0.7007870674133301,
|
592 |
+
"learning_rate": 3.2502115875008516e-07,
|
593 |
+
"logits/chosen": 10.54973030090332,
|
594 |
+
"logits/rejected": 11.243837356567383,
|
595 |
+
"logps/chosen": -131.86981201171875,
|
596 |
+
"logps/ref_chosen": -123.14965057373047,
|
597 |
+
"logps/ref_rejected": -134.22947692871094,
|
598 |
+
"logps/rejected": -143.7413787841797,
|
599 |
+
"loss": 0.6895,
|
600 |
+
"rewards/accuracies": 0.5703125,
|
601 |
+
"rewards/chosen": -0.0872015431523323,
|
602 |
+
"rewards/margins": 0.007917709648609161,
|
603 |
+
"rewards/rejected": -0.09511925280094147,
|
604 |
+
"step": 35
|
605 |
+
},
|
606 |
+
{
|
607 |
+
"epoch": 0.47426924660354053,
|
608 |
+
"grad_norm": 0.7300606966018677,
|
609 |
+
"learning_rate": 3.137606921404191e-07,
|
610 |
+
"logits/chosen": 10.125234603881836,
|
611 |
+
"logits/rejected": 10.481938362121582,
|
612 |
+
"logps/chosen": -127.8335189819336,
|
613 |
+
"logps/ref_chosen": -118.79129791259766,
|
614 |
+
"logps/ref_rejected": -126.64965057373047,
|
615 |
+
"logps/rejected": -135.0525665283203,
|
616 |
+
"loss": 0.6966,
|
617 |
+
"rewards/accuracies": 0.4296875,
|
618 |
+
"rewards/chosen": -0.09042223542928696,
|
619 |
+
"rewards/margins": -0.006393034942448139,
|
620 |
+
"rewards/rejected": -0.0840291976928711,
|
621 |
+
"step": 36
|
622 |
+
}
|
623 |
+
],
|
624 |
+
"logging_steps": 1,
|
625 |
+
"max_steps": 75,
|
626 |
+
"num_input_tokens_seen": 0,
|
627 |
+
"num_train_epochs": 1,
|
628 |
+
"save_steps": 12,
|
629 |
+
"stateful_callbacks": {
|
630 |
+
"TrainerControl": {
|
631 |
+
"args": {
|
632 |
+
"should_epoch_stop": false,
|
633 |
+
"should_evaluate": false,
|
634 |
+
"should_log": false,
|
635 |
+
"should_save": true,
|
636 |
+
"should_training_stop": false
|
637 |
+
},
|
638 |
+
"attributes": {}
|
639 |
+
}
|
640 |
+
},
|
641 |
+
"total_flos": 0.0,
|
642 |
+
"train_batch_size": 2,
|
643 |
+
"trial_name": null,
|
644 |
+
"trial_params": null
|
645 |
+
}
|
checkpoint-48/added_tokens.json
ADDED
@@ -0,0 +1,13 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"<|assistant|>": 32001,
|
3 |
+
"<|endoftext|>": 32000,
|
4 |
+
"<|end|>": 32007,
|
5 |
+
"<|placeholder1|>": 32002,
|
6 |
+
"<|placeholder2|>": 32003,
|
7 |
+
"<|placeholder3|>": 32004,
|
8 |
+
"<|placeholder4|>": 32005,
|
9 |
+
"<|placeholder5|>": 32008,
|
10 |
+
"<|placeholder6|>": 32009,
|
11 |
+
"<|system|>": 32006,
|
12 |
+
"<|user|>": 32010
|
13 |
+
}
|
checkpoint-48/config.json
ADDED
@@ -0,0 +1,36 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"_name_or_path": "/home/v-liuzichuan/huggingface/Phi-3-mini-4k-instruct",
|
3 |
+
"architectures": [
|
4 |
+
"Phi3ForCausalLM"
|
5 |
+
],
|
6 |
+
"attention_bias": false,
|
7 |
+
"attention_dropout": 0.0,
|
8 |
+
"auto_map": {
|
9 |
+
"AutoConfig": "configuration_phi3.Phi3Config",
|
10 |
+
"AutoModelForCausalLM": "modeling_phi3.Phi3ForCausalLM"
|
11 |
+
},
|
12 |
+
"bos_token_id": 1,
|
13 |
+
"embd_pdrop": 0.0,
|
14 |
+
"eos_token_id": 32000,
|
15 |
+
"hidden_act": "silu",
|
16 |
+
"hidden_size": 3072,
|
17 |
+
"initializer_range": 0.02,
|
18 |
+
"intermediate_size": 8192,
|
19 |
+
"max_position_embeddings": 4096,
|
20 |
+
"model_type": "phi3",
|
21 |
+
"num_attention_heads": 32,
|
22 |
+
"num_hidden_layers": 32,
|
23 |
+
"num_key_value_heads": 32,
|
24 |
+
"original_max_position_embeddings": 4096,
|
25 |
+
"pad_token_id": 32000,
|
26 |
+
"resid_pdrop": 0.0,
|
27 |
+
"rms_norm_eps": 1e-05,
|
28 |
+
"rope_scaling": null,
|
29 |
+
"rope_theta": 10000.0,
|
30 |
+
"sliding_window": 2047,
|
31 |
+
"tie_word_embeddings": false,
|
32 |
+
"torch_dtype": "bfloat16",
|
33 |
+
"transformers_version": "4.45.2",
|
34 |
+
"use_cache": false,
|
35 |
+
"vocab_size": 32064
|
36 |
+
}
|
checkpoint-48/generation_config.json
ADDED
@@ -0,0 +1,11 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"_from_model_config": true,
|
3 |
+
"bos_token_id": 1,
|
4 |
+
"eos_token_id": [
|
5 |
+
32000,
|
6 |
+
32001,
|
7 |
+
32007
|
8 |
+
],
|
9 |
+
"pad_token_id": 32000,
|
10 |
+
"transformers_version": "4.45.2"
|
11 |
+
}
|
checkpoint-48/model-00001-of-00002.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:4f53b04f950ecaf7266bb70f1df1989b2b5d2e6f85dc23e6ec33647f6e18c1f4
|
3 |
+
size 4972489328
|
checkpoint-48/model-00002-of-00002.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:389dee5a07142051b72fed75424db02b92f924ca356f16fd8d514e6f435dc6c8
|
3 |
+
size 2669692552
|
checkpoint-48/model.safetensors.index.json
ADDED
@@ -0,0 +1,202 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"metadata": {
|
3 |
+
"total_size": 7642159104
|
4 |
+
},
|
5 |
+
"weight_map": {
|
6 |
+
"lm_head.weight": "model-00002-of-00002.safetensors",
|
7 |
+
"model.embed_tokens.weight": "model-00001-of-00002.safetensors",
|
8 |
+
"model.layers.0.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
9 |
+
"model.layers.0.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
10 |
+
"model.layers.0.mlp.gate_up_proj.weight": "model-00001-of-00002.safetensors",
|
11 |
+
"model.layers.0.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
12 |
+
"model.layers.0.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
13 |
+
"model.layers.0.self_attn.qkv_proj.weight": "model-00001-of-00002.safetensors",
|
14 |
+
"model.layers.1.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
15 |
+
"model.layers.1.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
16 |
+
"model.layers.1.mlp.gate_up_proj.weight": "model-00001-of-00002.safetensors",
|
17 |
+
"model.layers.1.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
18 |
+
"model.layers.1.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
19 |
+
"model.layers.1.self_attn.qkv_proj.weight": "model-00001-of-00002.safetensors",
|
20 |
+
"model.layers.10.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
21 |
+
"model.layers.10.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
22 |
+
"model.layers.10.mlp.gate_up_proj.weight": "model-00001-of-00002.safetensors",
|
23 |
+
"model.layers.10.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
24 |
+
"model.layers.10.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
25 |
+
"model.layers.10.self_attn.qkv_proj.weight": "model-00001-of-00002.safetensors",
|
26 |
+
"model.layers.11.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
27 |
+
"model.layers.11.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
28 |
+
"model.layers.11.mlp.gate_up_proj.weight": "model-00001-of-00002.safetensors",
|
29 |
+
"model.layers.11.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
30 |
+
"model.layers.11.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
31 |
+
"model.layers.11.self_attn.qkv_proj.weight": "model-00001-of-00002.safetensors",
|
32 |
+
"model.layers.12.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
33 |
+
"model.layers.12.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
34 |
+
"model.layers.12.mlp.gate_up_proj.weight": "model-00001-of-00002.safetensors",
|
35 |
+
"model.layers.12.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
36 |
+
"model.layers.12.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
37 |
+
"model.layers.12.self_attn.qkv_proj.weight": "model-00001-of-00002.safetensors",
|
38 |
+
"model.layers.13.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
39 |
+
"model.layers.13.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
40 |
+
"model.layers.13.mlp.gate_up_proj.weight": "model-00001-of-00002.safetensors",
|
41 |
+
"model.layers.13.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
42 |
+
"model.layers.13.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
43 |
+
"model.layers.13.self_attn.qkv_proj.weight": "model-00001-of-00002.safetensors",
|
44 |
+
"model.layers.14.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
45 |
+
"model.layers.14.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
46 |
+
"model.layers.14.mlp.gate_up_proj.weight": "model-00001-of-00002.safetensors",
|
47 |
+
"model.layers.14.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
48 |
+
"model.layers.14.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
49 |
+
"model.layers.14.self_attn.qkv_proj.weight": "model-00001-of-00002.safetensors",
|
50 |
+
"model.layers.15.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
51 |
+
"model.layers.15.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
52 |
+
"model.layers.15.mlp.gate_up_proj.weight": "model-00001-of-00002.safetensors",
|
53 |
+
"model.layers.15.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
54 |
+
"model.layers.15.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
55 |
+
"model.layers.15.self_attn.qkv_proj.weight": "model-00001-of-00002.safetensors",
|
56 |
+
"model.layers.16.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
57 |
+
"model.layers.16.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
58 |
+
"model.layers.16.mlp.gate_up_proj.weight": "model-00001-of-00002.safetensors",
|
59 |
+
"model.layers.16.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
60 |
+
"model.layers.16.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
61 |
+
"model.layers.16.self_attn.qkv_proj.weight": "model-00001-of-00002.safetensors",
|
62 |
+
"model.layers.17.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
63 |
+
"model.layers.17.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
64 |
+
"model.layers.17.mlp.gate_up_proj.weight": "model-00001-of-00002.safetensors",
|
65 |
+
"model.layers.17.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
66 |
+
"model.layers.17.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
67 |
+
"model.layers.17.self_attn.qkv_proj.weight": "model-00001-of-00002.safetensors",
|
68 |
+
"model.layers.18.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
69 |
+
"model.layers.18.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
70 |
+
"model.layers.18.mlp.gate_up_proj.weight": "model-00001-of-00002.safetensors",
|
71 |
+
"model.layers.18.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
72 |
+
"model.layers.18.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
73 |
+
"model.layers.18.self_attn.qkv_proj.weight": "model-00001-of-00002.safetensors",
|
74 |
+
"model.layers.19.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
75 |
+
"model.layers.19.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
76 |
+
"model.layers.19.mlp.gate_up_proj.weight": "model-00001-of-00002.safetensors",
|
77 |
+
"model.layers.19.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
78 |
+
"model.layers.19.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
79 |
+
"model.layers.19.self_attn.qkv_proj.weight": "model-00001-of-00002.safetensors",
|
80 |
+
"model.layers.2.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
81 |
+
"model.layers.2.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
82 |
+
"model.layers.2.mlp.gate_up_proj.weight": "model-00001-of-00002.safetensors",
|
83 |
+
"model.layers.2.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
84 |
+
"model.layers.2.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
85 |
+
"model.layers.2.self_attn.qkv_proj.weight": "model-00001-of-00002.safetensors",
|
86 |
+
"model.layers.20.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
87 |
+
"model.layers.20.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
88 |
+
"model.layers.20.mlp.gate_up_proj.weight": "model-00001-of-00002.safetensors",
|
89 |
+
"model.layers.20.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
90 |
+
"model.layers.20.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
91 |
+
"model.layers.20.self_attn.qkv_proj.weight": "model-00001-of-00002.safetensors",
|
92 |
+
"model.layers.21.input_layernorm.weight": "model-00002-of-00002.safetensors",
|
93 |
+
"model.layers.21.mlp.down_proj.weight": "model-00002-of-00002.safetensors",
|
94 |
+
"model.layers.21.mlp.gate_up_proj.weight": "model-00002-of-00002.safetensors",
|
95 |
+
"model.layers.21.post_attention_layernorm.weight": "model-00002-of-00002.safetensors",
|
96 |
+
"model.layers.21.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
97 |
+
"model.layers.21.self_attn.qkv_proj.weight": "model-00002-of-00002.safetensors",
|
98 |
+
"model.layers.22.input_layernorm.weight": "model-00002-of-00002.safetensors",
|
99 |
+
"model.layers.22.mlp.down_proj.weight": "model-00002-of-00002.safetensors",
|
100 |
+
"model.layers.22.mlp.gate_up_proj.weight": "model-00002-of-00002.safetensors",
|
101 |
+
"model.layers.22.post_attention_layernorm.weight": "model-00002-of-00002.safetensors",
|
102 |
+
"model.layers.22.self_attn.o_proj.weight": "model-00002-of-00002.safetensors",
|
103 |
+
"model.layers.22.self_attn.qkv_proj.weight": "model-00002-of-00002.safetensors",
|
104 |
+
"model.layers.23.input_layernorm.weight": "model-00002-of-00002.safetensors",
|
105 |
+
"model.layers.23.mlp.down_proj.weight": "model-00002-of-00002.safetensors",
|
106 |
+
"model.layers.23.mlp.gate_up_proj.weight": "model-00002-of-00002.safetensors",
|
107 |
+
"model.layers.23.post_attention_layernorm.weight": "model-00002-of-00002.safetensors",
|
108 |
+
"model.layers.23.self_attn.o_proj.weight": "model-00002-of-00002.safetensors",
|
109 |
+
"model.layers.23.self_attn.qkv_proj.weight": "model-00002-of-00002.safetensors",
|
110 |
+
"model.layers.24.input_layernorm.weight": "model-00002-of-00002.safetensors",
|
111 |
+
"model.layers.24.mlp.down_proj.weight": "model-00002-of-00002.safetensors",
|
112 |
+
"model.layers.24.mlp.gate_up_proj.weight": "model-00002-of-00002.safetensors",
|
113 |
+
"model.layers.24.post_attention_layernorm.weight": "model-00002-of-00002.safetensors",
|
114 |
+
"model.layers.24.self_attn.o_proj.weight": "model-00002-of-00002.safetensors",
|
115 |
+
"model.layers.24.self_attn.qkv_proj.weight": "model-00002-of-00002.safetensors",
|
116 |
+
"model.layers.25.input_layernorm.weight": "model-00002-of-00002.safetensors",
|
117 |
+
"model.layers.25.mlp.down_proj.weight": "model-00002-of-00002.safetensors",
|
118 |
+
"model.layers.25.mlp.gate_up_proj.weight": "model-00002-of-00002.safetensors",
|
119 |
+
"model.layers.25.post_attention_layernorm.weight": "model-00002-of-00002.safetensors",
|
120 |
+
"model.layers.25.self_attn.o_proj.weight": "model-00002-of-00002.safetensors",
|
121 |
+
"model.layers.25.self_attn.qkv_proj.weight": "model-00002-of-00002.safetensors",
|
122 |
+
"model.layers.26.input_layernorm.weight": "model-00002-of-00002.safetensors",
|
123 |
+
"model.layers.26.mlp.down_proj.weight": "model-00002-of-00002.safetensors",
|
124 |
+
"model.layers.26.mlp.gate_up_proj.weight": "model-00002-of-00002.safetensors",
|
125 |
+
"model.layers.26.post_attention_layernorm.weight": "model-00002-of-00002.safetensors",
|
126 |
+
"model.layers.26.self_attn.o_proj.weight": "model-00002-of-00002.safetensors",
|
127 |
+
"model.layers.26.self_attn.qkv_proj.weight": "model-00002-of-00002.safetensors",
|
128 |
+
"model.layers.27.input_layernorm.weight": "model-00002-of-00002.safetensors",
|
129 |
+
"model.layers.27.mlp.down_proj.weight": "model-00002-of-00002.safetensors",
|
130 |
+
"model.layers.27.mlp.gate_up_proj.weight": "model-00002-of-00002.safetensors",
|
131 |
+
"model.layers.27.post_attention_layernorm.weight": "model-00002-of-00002.safetensors",
|
132 |
+
"model.layers.27.self_attn.o_proj.weight": "model-00002-of-00002.safetensors",
|
133 |
+
"model.layers.27.self_attn.qkv_proj.weight": "model-00002-of-00002.safetensors",
|
134 |
+
"model.layers.28.input_layernorm.weight": "model-00002-of-00002.safetensors",
|
135 |
+
"model.layers.28.mlp.down_proj.weight": "model-00002-of-00002.safetensors",
|
136 |
+
"model.layers.28.mlp.gate_up_proj.weight": "model-00002-of-00002.safetensors",
|
137 |
+
"model.layers.28.post_attention_layernorm.weight": "model-00002-of-00002.safetensors",
|
138 |
+
"model.layers.28.self_attn.o_proj.weight": "model-00002-of-00002.safetensors",
|
139 |
+
"model.layers.28.self_attn.qkv_proj.weight": "model-00002-of-00002.safetensors",
|
140 |
+
"model.layers.29.input_layernorm.weight": "model-00002-of-00002.safetensors",
|
141 |
+
"model.layers.29.mlp.down_proj.weight": "model-00002-of-00002.safetensors",
|
142 |
+
"model.layers.29.mlp.gate_up_proj.weight": "model-00002-of-00002.safetensors",
|
143 |
+
"model.layers.29.post_attention_layernorm.weight": "model-00002-of-00002.safetensors",
|
144 |
+
"model.layers.29.self_attn.o_proj.weight": "model-00002-of-00002.safetensors",
|
145 |
+
"model.layers.29.self_attn.qkv_proj.weight": "model-00002-of-00002.safetensors",
|
146 |
+
"model.layers.3.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
147 |
+
"model.layers.3.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
148 |
+
"model.layers.3.mlp.gate_up_proj.weight": "model-00001-of-00002.safetensors",
|
149 |
+
"model.layers.3.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
150 |
+
"model.layers.3.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
151 |
+
"model.layers.3.self_attn.qkv_proj.weight": "model-00001-of-00002.safetensors",
|
152 |
+
"model.layers.30.input_layernorm.weight": "model-00002-of-00002.safetensors",
|
153 |
+
"model.layers.30.mlp.down_proj.weight": "model-00002-of-00002.safetensors",
|
154 |
+
"model.layers.30.mlp.gate_up_proj.weight": "model-00002-of-00002.safetensors",
|
155 |
+
"model.layers.30.post_attention_layernorm.weight": "model-00002-of-00002.safetensors",
|
156 |
+
"model.layers.30.self_attn.o_proj.weight": "model-00002-of-00002.safetensors",
|
157 |
+
"model.layers.30.self_attn.qkv_proj.weight": "model-00002-of-00002.safetensors",
|
158 |
+
"model.layers.31.input_layernorm.weight": "model-00002-of-00002.safetensors",
|
159 |
+
"model.layers.31.mlp.down_proj.weight": "model-00002-of-00002.safetensors",
|
160 |
+
"model.layers.31.mlp.gate_up_proj.weight": "model-00002-of-00002.safetensors",
|
161 |
+
"model.layers.31.post_attention_layernorm.weight": "model-00002-of-00002.safetensors",
|
162 |
+
"model.layers.31.self_attn.o_proj.weight": "model-00002-of-00002.safetensors",
|
163 |
+
"model.layers.31.self_attn.qkv_proj.weight": "model-00002-of-00002.safetensors",
|
164 |
+
"model.layers.4.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
165 |
+
"model.layers.4.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
166 |
+
"model.layers.4.mlp.gate_up_proj.weight": "model-00001-of-00002.safetensors",
|
167 |
+
"model.layers.4.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
168 |
+
"model.layers.4.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
169 |
+
"model.layers.4.self_attn.qkv_proj.weight": "model-00001-of-00002.safetensors",
|
170 |
+
"model.layers.5.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
171 |
+
"model.layers.5.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
172 |
+
"model.layers.5.mlp.gate_up_proj.weight": "model-00001-of-00002.safetensors",
|
173 |
+
"model.layers.5.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
174 |
+
"model.layers.5.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
175 |
+
"model.layers.5.self_attn.qkv_proj.weight": "model-00001-of-00002.safetensors",
|
176 |
+
"model.layers.6.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
177 |
+
"model.layers.6.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
178 |
+
"model.layers.6.mlp.gate_up_proj.weight": "model-00001-of-00002.safetensors",
|
179 |
+
"model.layers.6.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
180 |
+
"model.layers.6.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
181 |
+
"model.layers.6.self_attn.qkv_proj.weight": "model-00001-of-00002.safetensors",
|
182 |
+
"model.layers.7.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
183 |
+
"model.layers.7.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
184 |
+
"model.layers.7.mlp.gate_up_proj.weight": "model-00001-of-00002.safetensors",
|
185 |
+
"model.layers.7.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
186 |
+
"model.layers.7.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
187 |
+
"model.layers.7.self_attn.qkv_proj.weight": "model-00001-of-00002.safetensors",
|
188 |
+
"model.layers.8.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
189 |
+
"model.layers.8.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
190 |
+
"model.layers.8.mlp.gate_up_proj.weight": "model-00001-of-00002.safetensors",
|
191 |
+
"model.layers.8.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
192 |
+
"model.layers.8.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
193 |
+
"model.layers.8.self_attn.qkv_proj.weight": "model-00001-of-00002.safetensors",
|
194 |
+
"model.layers.9.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
195 |
+
"model.layers.9.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
196 |
+
"model.layers.9.mlp.gate_up_proj.weight": "model-00001-of-00002.safetensors",
|
197 |
+
"model.layers.9.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
198 |
+
"model.layers.9.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
199 |
+
"model.layers.9.self_attn.qkv_proj.weight": "model-00001-of-00002.safetensors",
|
200 |
+
"model.norm.weight": "model-00002-of-00002.safetensors"
|
201 |
+
}
|
202 |
+
}
|
checkpoint-48/special_tokens_map.json
ADDED
@@ -0,0 +1,30 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"bos_token": {
|
3 |
+
"content": "<s>",
|
4 |
+
"lstrip": false,
|
5 |
+
"normalized": false,
|
6 |
+
"rstrip": false,
|
7 |
+
"single_word": false
|
8 |
+
},
|
9 |
+
"eos_token": {
|
10 |
+
"content": "<|endoftext|>",
|
11 |
+
"lstrip": false,
|
12 |
+
"normalized": false,
|
13 |
+
"rstrip": false,
|
14 |
+
"single_word": false
|
15 |
+
},
|
16 |
+
"pad_token": {
|
17 |
+
"content": "<|endoftext|>",
|
18 |
+
"lstrip": false,
|
19 |
+
"normalized": false,
|
20 |
+
"rstrip": false,
|
21 |
+
"single_word": false
|
22 |
+
},
|
23 |
+
"unk_token": {
|
24 |
+
"content": "<unk>",
|
25 |
+
"lstrip": false,
|
26 |
+
"normalized": false,
|
27 |
+
"rstrip": false,
|
28 |
+
"single_word": false
|
29 |
+
}
|
30 |
+
}
|
checkpoint-48/tokenizer.json
ADDED
The diff for this file is too large to render.
See raw diff
|
|
checkpoint-48/tokenizer_config.json
ADDED
@@ -0,0 +1,131 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"add_bos_token": false,
|
3 |
+
"add_eos_token": false,
|
4 |
+
"add_prefix_space": null,
|
5 |
+
"added_tokens_decoder": {
|
6 |
+
"0": {
|
7 |
+
"content": "<unk>",
|
8 |
+
"lstrip": false,
|
9 |
+
"normalized": false,
|
10 |
+
"rstrip": false,
|
11 |
+
"single_word": false,
|
12 |
+
"special": true
|
13 |
+
},
|
14 |
+
"1": {
|
15 |
+
"content": "<s>",
|
16 |
+
"lstrip": false,
|
17 |
+
"normalized": false,
|
18 |
+
"rstrip": false,
|
19 |
+
"single_word": false,
|
20 |
+
"special": true
|
21 |
+
},
|
22 |
+
"2": {
|
23 |
+
"content": "</s>",
|
24 |
+
"lstrip": false,
|
25 |
+
"normalized": false,
|
26 |
+
"rstrip": true,
|
27 |
+
"single_word": false,
|
28 |
+
"special": false
|
29 |
+
},
|
30 |
+
"32000": {
|
31 |
+
"content": "<|endoftext|>",
|
32 |
+
"lstrip": false,
|
33 |
+
"normalized": false,
|
34 |
+
"rstrip": false,
|
35 |
+
"single_word": false,
|
36 |
+
"special": true
|
37 |
+
},
|
38 |
+
"32001": {
|
39 |
+
"content": "<|assistant|>",
|
40 |
+
"lstrip": false,
|
41 |
+
"normalized": false,
|
42 |
+
"rstrip": true,
|
43 |
+
"single_word": false,
|
44 |
+
"special": true
|
45 |
+
},
|
46 |
+
"32002": {
|
47 |
+
"content": "<|placeholder1|>",
|
48 |
+
"lstrip": false,
|
49 |
+
"normalized": false,
|
50 |
+
"rstrip": true,
|
51 |
+
"single_word": false,
|
52 |
+
"special": true
|
53 |
+
},
|
54 |
+
"32003": {
|
55 |
+
"content": "<|placeholder2|>",
|
56 |
+
"lstrip": false,
|
57 |
+
"normalized": false,
|
58 |
+
"rstrip": true,
|
59 |
+
"single_word": false,
|
60 |
+
"special": true
|
61 |
+
},
|
62 |
+
"32004": {
|
63 |
+
"content": "<|placeholder3|>",
|
64 |
+
"lstrip": false,
|
65 |
+
"normalized": false,
|
66 |
+
"rstrip": true,
|
67 |
+
"single_word": false,
|
68 |
+
"special": true
|
69 |
+
},
|
70 |
+
"32005": {
|
71 |
+
"content": "<|placeholder4|>",
|
72 |
+
"lstrip": false,
|
73 |
+
"normalized": false,
|
74 |
+
"rstrip": true,
|
75 |
+
"single_word": false,
|
76 |
+
"special": true
|
77 |
+
},
|
78 |
+
"32006": {
|
79 |
+
"content": "<|system|>",
|
80 |
+
"lstrip": false,
|
81 |
+
"normalized": false,
|
82 |
+
"rstrip": true,
|
83 |
+
"single_word": false,
|
84 |
+
"special": true
|
85 |
+
},
|
86 |
+
"32007": {
|
87 |
+
"content": "<|end|>",
|
88 |
+
"lstrip": false,
|
89 |
+
"normalized": false,
|
90 |
+
"rstrip": true,
|
91 |
+
"single_word": false,
|
92 |
+
"special": true
|
93 |
+
},
|
94 |
+
"32008": {
|
95 |
+
"content": "<|placeholder5|>",
|
96 |
+
"lstrip": false,
|
97 |
+
"normalized": false,
|
98 |
+
"rstrip": true,
|
99 |
+
"single_word": false,
|
100 |
+
"special": true
|
101 |
+
},
|
102 |
+
"32009": {
|
103 |
+
"content": "<|placeholder6|>",
|
104 |
+
"lstrip": false,
|
105 |
+
"normalized": false,
|
106 |
+
"rstrip": true,
|
107 |
+
"single_word": false,
|
108 |
+
"special": true
|
109 |
+
},
|
110 |
+
"32010": {
|
111 |
+
"content": "<|user|>",
|
112 |
+
"lstrip": false,
|
113 |
+
"normalized": false,
|
114 |
+
"rstrip": true,
|
115 |
+
"single_word": false,
|
116 |
+
"special": true
|
117 |
+
}
|
118 |
+
},
|
119 |
+
"bos_token": "<s>",
|
120 |
+
"chat_template": "{% for message in messages %}{% if message['role'] == 'system' %}{{'<|system|>\n' + message['content'] + '<|end|>\n'}}{% elif message['role'] == 'user' %}{{'<|user|>\n' + message['content'] + '<|end|>\n'}}{% elif message['role'] == 'assistant' %}{{'<|assistant|>\n' + message['content'] + '<|end|>\n'}}{% endif %}{% endfor %}{% if add_generation_prompt %}{{ '<|assistant|>\n' }}{% else %}{{ eos_token }}{% endif %}",
|
121 |
+
"clean_up_tokenization_spaces": false,
|
122 |
+
"eos_token": "<|endoftext|>",
|
123 |
+
"legacy": false,
|
124 |
+
"model_max_length": 4096,
|
125 |
+
"pad_token": "<|endoftext|>",
|
126 |
+
"padding_side": "left",
|
127 |
+
"sp_model_kwargs": {},
|
128 |
+
"tokenizer_class": "LlamaTokenizer",
|
129 |
+
"unk_token": "<unk>",
|
130 |
+
"use_default_system_prompt": false
|
131 |
+
}
|
checkpoint-48/trainer_state.json
ADDED
@@ -0,0 +1,849 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": null,
|
3 |
+
"best_model_checkpoint": null,
|
4 |
+
"epoch": 0.6323589954713874,
|
5 |
+
"eval_steps": 500,
|
6 |
+
"global_step": 48,
|
7 |
+
"is_hyper_param_search": false,
|
8 |
+
"is_local_process_zero": true,
|
9 |
+
"is_world_process_zero": true,
|
10 |
+
"log_history": [
|
11 |
+
{
|
12 |
+
"epoch": 0.013174145738987238,
|
13 |
+
"grad_norm": 0.39343583583831787,
|
14 |
+
"learning_rate": 6.25e-08,
|
15 |
+
"logits/chosen": 10.071717262268066,
|
16 |
+
"logits/rejected": 10.610974311828613,
|
17 |
+
"logps/chosen": -121.14067077636719,
|
18 |
+
"logps/ref_chosen": -121.14067077636719,
|
19 |
+
"logps/ref_rejected": -137.65684509277344,
|
20 |
+
"logps/rejected": -137.65684509277344,
|
21 |
+
"loss": 0.6931,
|
22 |
+
"rewards/accuracies": 0.0,
|
23 |
+
"rewards/chosen": 0.0,
|
24 |
+
"rewards/margins": 0.0,
|
25 |
+
"rewards/rejected": 0.0,
|
26 |
+
"step": 1
|
27 |
+
},
|
28 |
+
{
|
29 |
+
"epoch": 0.026348291477974475,
|
30 |
+
"grad_norm": 0.7521647214889526,
|
31 |
+
"learning_rate": 1.25e-07,
|
32 |
+
"logits/chosen": 10.222262382507324,
|
33 |
+
"logits/rejected": 10.754176139831543,
|
34 |
+
"logps/chosen": -116.48068237304688,
|
35 |
+
"logps/ref_chosen": -116.48068237304688,
|
36 |
+
"logps/ref_rejected": -130.27796936035156,
|
37 |
+
"logps/rejected": -130.27796936035156,
|
38 |
+
"loss": 0.6931,
|
39 |
+
"rewards/accuracies": 0.0,
|
40 |
+
"rewards/chosen": 0.0,
|
41 |
+
"rewards/margins": 0.0,
|
42 |
+
"rewards/rejected": 0.0,
|
43 |
+
"step": 2
|
44 |
+
},
|
45 |
+
{
|
46 |
+
"epoch": 0.03952243721696171,
|
47 |
+
"grad_norm": 0.5880491137504578,
|
48 |
+
"learning_rate": 1.875e-07,
|
49 |
+
"logits/chosen": 10.01984977722168,
|
50 |
+
"logits/rejected": 10.62405776977539,
|
51 |
+
"logps/chosen": -123.36822509765625,
|
52 |
+
"logps/ref_chosen": -122.6683349609375,
|
53 |
+
"logps/ref_rejected": -132.69850158691406,
|
54 |
+
"logps/rejected": -133.207275390625,
|
55 |
+
"loss": 0.6941,
|
56 |
+
"rewards/accuracies": 0.4453125,
|
57 |
+
"rewards/chosen": -0.006998830940574408,
|
58 |
+
"rewards/margins": -0.0019110905705019832,
|
59 |
+
"rewards/rejected": -0.005087739787995815,
|
60 |
+
"step": 3
|
61 |
+
},
|
62 |
+
{
|
63 |
+
"epoch": 0.05269658295594895,
|
64 |
+
"grad_norm": 0.4605408310890198,
|
65 |
+
"learning_rate": 2.5e-07,
|
66 |
+
"logits/chosen": 9.99990463256836,
|
67 |
+
"logits/rejected": 10.736846923828125,
|
68 |
+
"logps/chosen": -123.02133178710938,
|
69 |
+
"logps/ref_chosen": -122.59739685058594,
|
70 |
+
"logps/ref_rejected": -129.70767211914062,
|
71 |
+
"logps/rejected": -129.98374938964844,
|
72 |
+
"loss": 0.6939,
|
73 |
+
"rewards/accuracies": 0.4765625,
|
74 |
+
"rewards/chosen": -0.004239337984472513,
|
75 |
+
"rewards/margins": -0.0014785109087824821,
|
76 |
+
"rewards/rejected": -0.0027608266100287437,
|
77 |
+
"step": 4
|
78 |
+
},
|
79 |
+
{
|
80 |
+
"epoch": 0.06587072869493618,
|
81 |
+
"grad_norm": 0.469856321811676,
|
82 |
+
"learning_rate": 3.1249999999999997e-07,
|
83 |
+
"logits/chosen": 10.075482368469238,
|
84 |
+
"logits/rejected": 10.892666816711426,
|
85 |
+
"logps/chosen": -117.554931640625,
|
86 |
+
"logps/ref_chosen": -117.5941162109375,
|
87 |
+
"logps/ref_rejected": -132.1708984375,
|
88 |
+
"logps/rejected": -132.1227264404297,
|
89 |
+
"loss": 0.6932,
|
90 |
+
"rewards/accuracies": 0.546875,
|
91 |
+
"rewards/chosen": 0.0003917121794074774,
|
92 |
+
"rewards/margins": -9.010493522509933e-05,
|
93 |
+
"rewards/rejected": 0.0004818170564249158,
|
94 |
+
"step": 5
|
95 |
+
},
|
96 |
+
{
|
97 |
+
"epoch": 0.07904487443392343,
|
98 |
+
"grad_norm": 0.5541566610336304,
|
99 |
+
"learning_rate": 3.75e-07,
|
100 |
+
"logits/chosen": 10.660999298095703,
|
101 |
+
"logits/rejected": 11.290507316589355,
|
102 |
+
"logps/chosen": -127.00320434570312,
|
103 |
+
"logps/ref_chosen": -126.12411499023438,
|
104 |
+
"logps/ref_rejected": -136.9976043701172,
|
105 |
+
"logps/rejected": -137.75950622558594,
|
106 |
+
"loss": 0.6938,
|
107 |
+
"rewards/accuracies": 0.46875,
|
108 |
+
"rewards/chosen": -0.00879070907831192,
|
109 |
+
"rewards/margins": -0.0011717069428414106,
|
110 |
+
"rewards/rejected": -0.007619001902639866,
|
111 |
+
"step": 6
|
112 |
+
},
|
113 |
+
{
|
114 |
+
"epoch": 0.09221902017291066,
|
115 |
+
"grad_norm": 0.4422788619995117,
|
116 |
+
"learning_rate": 4.375e-07,
|
117 |
+
"logits/chosen": 9.958097457885742,
|
118 |
+
"logits/rejected": 10.642163276672363,
|
119 |
+
"logps/chosen": -115.61244201660156,
|
120 |
+
"logps/ref_chosen": -115.08863830566406,
|
121 |
+
"logps/ref_rejected": -125.91255187988281,
|
122 |
+
"logps/rejected": -126.15577697753906,
|
123 |
+
"loss": 0.6946,
|
124 |
+
"rewards/accuracies": 0.4375,
|
125 |
+
"rewards/chosen": -0.005238103214651346,
|
126 |
+
"rewards/margins": -0.0028058765456080437,
|
127 |
+
"rewards/rejected": -0.002432226436212659,
|
128 |
+
"step": 7
|
129 |
+
},
|
130 |
+
{
|
131 |
+
"epoch": 0.1053931659118979,
|
132 |
+
"grad_norm": 0.5495327115058899,
|
133 |
+
"learning_rate": 5e-07,
|
134 |
+
"logits/chosen": 10.345503807067871,
|
135 |
+
"logits/rejected": 10.97708797454834,
|
136 |
+
"logps/chosen": -121.48406982421875,
|
137 |
+
"logps/ref_chosen": -121.4114761352539,
|
138 |
+
"logps/ref_rejected": -134.62770080566406,
|
139 |
+
"logps/rejected": -134.7586212158203,
|
140 |
+
"loss": 0.6929,
|
141 |
+
"rewards/accuracies": 0.5078125,
|
142 |
+
"rewards/chosen": -0.0007259202538989484,
|
143 |
+
"rewards/margins": 0.0005832896567881107,
|
144 |
+
"rewards/rejected": -0.0013092098524793983,
|
145 |
+
"step": 8
|
146 |
+
},
|
147 |
+
{
|
148 |
+
"epoch": 0.11856731165088513,
|
149 |
+
"grad_norm": 0.43922048807144165,
|
150 |
+
"learning_rate": 4.997252228714278e-07,
|
151 |
+
"logits/chosen": 10.159126281738281,
|
152 |
+
"logits/rejected": 11.002123832702637,
|
153 |
+
"logps/chosen": -122.51399230957031,
|
154 |
+
"logps/ref_chosen": -121.59207153320312,
|
155 |
+
"logps/ref_rejected": -134.70025634765625,
|
156 |
+
"logps/rejected": -135.55740356445312,
|
157 |
+
"loss": 0.6935,
|
158 |
+
"rewards/accuracies": 0.4453125,
|
159 |
+
"rewards/chosen": -0.00921926274895668,
|
160 |
+
"rewards/margins": -0.0006479143630713224,
|
161 |
+
"rewards/rejected": -0.008571348153054714,
|
162 |
+
"step": 9
|
163 |
+
},
|
164 |
+
{
|
165 |
+
"epoch": 0.13174145738987236,
|
166 |
+
"grad_norm": 0.6643485426902771,
|
167 |
+
"learning_rate": 4.989014955054745e-07,
|
168 |
+
"logits/chosen": 9.9464111328125,
|
169 |
+
"logits/rejected": 10.739057540893555,
|
170 |
+
"logps/chosen": -117.91310119628906,
|
171 |
+
"logps/ref_chosen": -117.16349029541016,
|
172 |
+
"logps/ref_rejected": -129.98167419433594,
|
173 |
+
"logps/rejected": -130.65924072265625,
|
174 |
+
"loss": 0.6935,
|
175 |
+
"rewards/accuracies": 0.5,
|
176 |
+
"rewards/chosen": -0.007496046833693981,
|
177 |
+
"rewards/margins": -0.0007203805143944919,
|
178 |
+
"rewards/rejected": -0.00677566509693861,
|
179 |
+
"step": 10
|
180 |
+
},
|
181 |
+
{
|
182 |
+
"epoch": 0.14491560312885962,
|
183 |
+
"grad_norm": 0.4432956576347351,
|
184 |
+
"learning_rate": 4.975306286336627e-07,
|
185 |
+
"logits/chosen": 10.095781326293945,
|
186 |
+
"logits/rejected": 11.001167297363281,
|
187 |
+
"logps/chosen": -123.26506042480469,
|
188 |
+
"logps/ref_chosen": -121.95927429199219,
|
189 |
+
"logps/ref_rejected": -136.18655395507812,
|
190 |
+
"logps/rejected": -137.39865112304688,
|
191 |
+
"loss": 0.6936,
|
192 |
+
"rewards/accuracies": 0.46875,
|
193 |
+
"rewards/chosen": -0.01305788941681385,
|
194 |
+
"rewards/margins": -0.0009369202307425439,
|
195 |
+
"rewards/rejected": -0.012120969593524933,
|
196 |
+
"step": 11
|
197 |
+
},
|
198 |
+
{
|
199 |
+
"epoch": 0.15808974886784685,
|
200 |
+
"grad_norm": 0.3955974280834198,
|
201 |
+
"learning_rate": 4.956156357188939e-07,
|
202 |
+
"logits/chosen": 10.129995346069336,
|
203 |
+
"logits/rejected": 10.673677444458008,
|
204 |
+
"logps/chosen": -126.05357360839844,
|
205 |
+
"logps/ref_chosen": -124.12315368652344,
|
206 |
+
"logps/ref_rejected": -134.275390625,
|
207 |
+
"logps/rejected": -136.24940490722656,
|
208 |
+
"loss": 0.693,
|
209 |
+
"rewards/accuracies": 0.5234375,
|
210 |
+
"rewards/chosen": -0.01930420845746994,
|
211 |
+
"rewards/margins": 0.00043603626545518637,
|
212 |
+
"rewards/rejected": -0.01974024437367916,
|
213 |
+
"step": 12
|
214 |
+
},
|
215 |
+
{
|
216 |
+
"epoch": 0.17126389460683408,
|
217 |
+
"grad_norm": 0.4873650074005127,
|
218 |
+
"learning_rate": 4.931607263312032e-07,
|
219 |
+
"logits/chosen": 9.8243989944458,
|
220 |
+
"logits/rejected": 10.843228340148926,
|
221 |
+
"logps/chosen": -119.30509185791016,
|
222 |
+
"logps/ref_chosen": -116.83765411376953,
|
223 |
+
"logps/ref_rejected": -130.78997802734375,
|
224 |
+
"logps/rejected": -133.15672302246094,
|
225 |
+
"loss": 0.6937,
|
226 |
+
"rewards/accuracies": 0.4453125,
|
227 |
+
"rewards/chosen": -0.024674497544765472,
|
228 |
+
"rewards/margins": -0.0010069820564240217,
|
229 |
+
"rewards/rejected": -0.02366751804947853,
|
230 |
+
"step": 13
|
231 |
+
},
|
232 |
+
{
|
233 |
+
"epoch": 0.1844380403458213,
|
234 |
+
"grad_norm": 0.8769639134407043,
|
235 |
+
"learning_rate": 4.9017129689421e-07,
|
236 |
+
"logits/chosen": 10.427848815917969,
|
237 |
+
"logits/rejected": 11.37716293334961,
|
238 |
+
"logps/chosen": -120.9067611694336,
|
239 |
+
"logps/ref_chosen": -118.43791961669922,
|
240 |
+
"logps/ref_rejected": -132.5309600830078,
|
241 |
+
"logps/rejected": -134.91236877441406,
|
242 |
+
"loss": 0.6936,
|
243 |
+
"rewards/accuracies": 0.46875,
|
244 |
+
"rewards/chosen": -0.02468838170170784,
|
245 |
+
"rewards/margins": -0.0008744060760363936,
|
246 |
+
"rewards/rejected": -0.023813974112272263,
|
247 |
+
"step": 14
|
248 |
+
},
|
249 |
+
{
|
250 |
+
"epoch": 0.19761218608480857,
|
251 |
+
"grad_norm": 0.8736073970794678,
|
252 |
+
"learning_rate": 4.866539188226085e-07,
|
253 |
+
"logits/chosen": 9.956391334533691,
|
254 |
+
"logits/rejected": 10.684510231018066,
|
255 |
+
"logps/chosen": -128.198486328125,
|
256 |
+
"logps/ref_chosen": -124.82101440429688,
|
257 |
+
"logps/ref_rejected": -135.32565307617188,
|
258 |
+
"logps/rejected": -138.8860626220703,
|
259 |
+
"loss": 0.6923,
|
260 |
+
"rewards/accuracies": 0.5234375,
|
261 |
+
"rewards/chosen": -0.033774565905332565,
|
262 |
+
"rewards/margins": 0.0018295131158083677,
|
263 |
+
"rewards/rejected": -0.0356040820479393,
|
264 |
+
"step": 15
|
265 |
+
},
|
266 |
+
{
|
267 |
+
"epoch": 0.2107863318237958,
|
268 |
+
"grad_norm": 0.7293412089347839,
|
269 |
+
"learning_rate": 4.826163240767716e-07,
|
270 |
+
"logits/chosen": 10.677412033081055,
|
271 |
+
"logits/rejected": 11.254134178161621,
|
272 |
+
"logps/chosen": -122.79344940185547,
|
273 |
+
"logps/ref_chosen": -119.69990539550781,
|
274 |
+
"logps/ref_rejected": -130.34449768066406,
|
275 |
+
"logps/rejected": -133.39932250976562,
|
276 |
+
"loss": 0.6934,
|
277 |
+
"rewards/accuracies": 0.484375,
|
278 |
+
"rewards/chosen": -0.030935294926166534,
|
279 |
+
"rewards/margins": -0.0003869622596539557,
|
280 |
+
"rewards/rejected": -0.030548332259058952,
|
281 |
+
"step": 16
|
282 |
+
},
|
283 |
+
{
|
284 |
+
"epoch": 0.22396047756278303,
|
285 |
+
"grad_norm": 0.6406402587890625,
|
286 |
+
"learning_rate": 4.780673881662242e-07,
|
287 |
+
"logits/chosen": 10.172043800354004,
|
288 |
+
"logits/rejected": 10.859190940856934,
|
289 |
+
"logps/chosen": -118.11813354492188,
|
290 |
+
"logps/ref_chosen": -114.52975463867188,
|
291 |
+
"logps/ref_rejected": -129.5846405029297,
|
292 |
+
"logps/rejected": -133.20779418945312,
|
293 |
+
"loss": 0.6931,
|
294 |
+
"rewards/accuracies": 0.5078125,
|
295 |
+
"rewards/chosen": -0.035883828997612,
|
296 |
+
"rewards/margins": 0.00034771906211972237,
|
297 |
+
"rewards/rejected": -0.036231543868780136,
|
298 |
+
"step": 17
|
299 |
+
},
|
300 |
+
{
|
301 |
+
"epoch": 0.23713462330177026,
|
302 |
+
"grad_norm": 0.7559142708778381,
|
303 |
+
"learning_rate": 4.730171106393466e-07,
|
304 |
+
"logits/chosen": 10.747884750366211,
|
305 |
+
"logits/rejected": 11.173224449157715,
|
306 |
+
"logps/chosen": -121.89351654052734,
|
307 |
+
"logps/ref_chosen": -117.67997741699219,
|
308 |
+
"logps/ref_rejected": -128.00650024414062,
|
309 |
+
"logps/rejected": -132.31655883789062,
|
310 |
+
"loss": 0.6928,
|
311 |
+
"rewards/accuracies": 0.546875,
|
312 |
+
"rewards/chosen": -0.042135339230298996,
|
313 |
+
"rewards/margins": 0.0009651560103520751,
|
314 |
+
"rewards/rejected": -0.043100498616695404,
|
315 |
+
"step": 18
|
316 |
+
},
|
317 |
+
{
|
318 |
+
"epoch": 0.2503087690407575,
|
319 |
+
"grad_norm": 0.49808746576309204,
|
320 |
+
"learning_rate": 4.6747659310219757e-07,
|
321 |
+
"logits/chosen": 10.380050659179688,
|
322 |
+
"logits/rejected": 10.91146469116211,
|
323 |
+
"logps/chosen": -125.04395294189453,
|
324 |
+
"logps/ref_chosen": -120.92308044433594,
|
325 |
+
"logps/ref_rejected": -133.8301544189453,
|
326 |
+
"logps/rejected": -138.79052734375,
|
327 |
+
"loss": 0.689,
|
328 |
+
"rewards/accuracies": 0.6328125,
|
329 |
+
"rewards/chosen": -0.0412086620926857,
|
330 |
+
"rewards/margins": 0.008395083248615265,
|
331 |
+
"rewards/rejected": -0.04960374906659126,
|
332 |
+
"step": 19
|
333 |
+
},
|
334 |
+
{
|
335 |
+
"epoch": 0.2634829147797447,
|
336 |
+
"grad_norm": 0.5601547956466675,
|
337 |
+
"learning_rate": 4.6145801481477433e-07,
|
338 |
+
"logits/chosen": 10.563058853149414,
|
339 |
+
"logits/rejected": 11.37236499786377,
|
340 |
+
"logps/chosen": -126.93672180175781,
|
341 |
+
"logps/ref_chosen": -121.84554290771484,
|
342 |
+
"logps/ref_rejected": -133.343017578125,
|
343 |
+
"logps/rejected": -138.12808227539062,
|
344 |
+
"loss": 0.6948,
|
345 |
+
"rewards/accuracies": 0.4375,
|
346 |
+
"rewards/chosen": -0.050911907106637955,
|
347 |
+
"rewards/margins": -0.0030612414702773094,
|
348 |
+
"rewards/rejected": -0.04785066470503807,
|
349 |
+
"step": 20
|
350 |
+
},
|
351 |
+
{
|
352 |
+
"epoch": 0.276657060518732,
|
353 |
+
"grad_norm": 0.41351014375686646,
|
354 |
+
"learning_rate": 4.549746059183561e-07,
|
355 |
+
"logits/chosen": 9.687071800231934,
|
356 |
+
"logits/rejected": 10.572582244873047,
|
357 |
+
"logps/chosen": -124.77998352050781,
|
358 |
+
"logps/ref_chosen": -119.20828247070312,
|
359 |
+
"logps/ref_rejected": -134.38436889648438,
|
360 |
+
"logps/rejected": -140.02293395996094,
|
361 |
+
"loss": 0.6929,
|
362 |
+
"rewards/accuracies": 0.515625,
|
363 |
+
"rewards/chosen": -0.055717017501592636,
|
364 |
+
"rewards/margins": 0.0006685962434858084,
|
365 |
+
"rewards/rejected": -0.056385621428489685,
|
366 |
+
"step": 21
|
367 |
+
},
|
368 |
+
{
|
369 |
+
"epoch": 0.28983120625771924,
|
370 |
+
"grad_norm": 0.6027271747589111,
|
371 |
+
"learning_rate": 4.480406183527823e-07,
|
372 |
+
"logits/chosen": 10.03482437133789,
|
373 |
+
"logits/rejected": 10.820859909057617,
|
374 |
+
"logps/chosen": -121.17003631591797,
|
375 |
+
"logps/ref_chosen": -114.62059020996094,
|
376 |
+
"logps/ref_rejected": -128.0896759033203,
|
377 |
+
"logps/rejected": -134.1069793701172,
|
378 |
+
"loss": 0.6959,
|
379 |
+
"rewards/accuracies": 0.484375,
|
380 |
+
"rewards/chosen": -0.06549445539712906,
|
381 |
+
"rewards/margins": -0.005321440752595663,
|
382 |
+
"rewards/rejected": -0.06017300859093666,
|
383 |
+
"step": 22
|
384 |
+
},
|
385 |
+
{
|
386 |
+
"epoch": 0.3030053519967065,
|
387 |
+
"grad_norm": 0.5877695083618164,
|
388 |
+
"learning_rate": 4.4067129452759546e-07,
|
389 |
+
"logits/chosen": 10.00536060333252,
|
390 |
+
"logits/rejected": 10.877461433410645,
|
391 |
+
"logps/chosen": -124.2905044555664,
|
392 |
+
"logps/ref_chosen": -117.84042358398438,
|
393 |
+
"logps/ref_rejected": -131.79171752929688,
|
394 |
+
"logps/rejected": -137.91160583496094,
|
395 |
+
"loss": 0.6949,
|
396 |
+
"rewards/accuracies": 0.46875,
|
397 |
+
"rewards/chosen": -0.06450086086988449,
|
398 |
+
"rewards/margins": -0.0033018956892192364,
|
399 |
+
"rewards/rejected": -0.061198972165584564,
|
400 |
+
"step": 23
|
401 |
+
},
|
402 |
+
{
|
403 |
+
"epoch": 0.3161794977356937,
|
404 |
+
"grad_norm": 0.5177574157714844,
|
405 |
+
"learning_rate": 4.3288283381591725e-07,
|
406 |
+
"logits/chosen": 10.104101181030273,
|
407 |
+
"logits/rejected": 10.70304012298584,
|
408 |
+
"logps/chosen": -129.96224975585938,
|
409 |
+
"logps/ref_chosen": -123.75523376464844,
|
410 |
+
"logps/ref_rejected": -138.6237030029297,
|
411 |
+
"logps/rejected": -144.98983764648438,
|
412 |
+
"loss": 0.6925,
|
413 |
+
"rewards/accuracies": 0.53125,
|
414 |
+
"rewards/chosen": -0.062070075422525406,
|
415 |
+
"rewards/margins": 0.0015914504183456302,
|
416 |
+
"rewards/rejected": -0.06366152316331863,
|
417 |
+
"step": 24
|
418 |
+
},
|
419 |
+
{
|
420 |
+
"epoch": 0.32935364347468093,
|
421 |
+
"grad_norm": 0.57741379737854,
|
422 |
+
"learning_rate": 4.246923569447104e-07,
|
423 |
+
"logits/chosen": 10.097904205322266,
|
424 |
+
"logits/rejected": 10.884883880615234,
|
425 |
+
"logps/chosen": -130.04393005371094,
|
426 |
+
"logps/ref_chosen": -122.53610229492188,
|
427 |
+
"logps/ref_rejected": -141.00828552246094,
|
428 |
+
"logps/rejected": -148.18405151367188,
|
429 |
+
"loss": 0.695,
|
430 |
+
"rewards/accuracies": 0.4609375,
|
431 |
+
"rewards/chosen": -0.07507827132940292,
|
432 |
+
"rewards/margins": -0.003320657880976796,
|
433 |
+
"rewards/rejected": -0.07175761461257935,
|
434 |
+
"step": 25
|
435 |
+
},
|
436 |
+
{
|
437 |
+
"epoch": 0.34252778921366817,
|
438 |
+
"grad_norm": 0.5819231867790222,
|
439 |
+
"learning_rate": 4.161178683597054e-07,
|
440 |
+
"logits/chosen": 10.32345199584961,
|
441 |
+
"logits/rejected": 11.267877578735352,
|
442 |
+
"logps/chosen": -132.95077514648438,
|
443 |
+
"logps/ref_chosen": -124.1744384765625,
|
444 |
+
"logps/ref_rejected": -139.68605041503906,
|
445 |
+
"logps/rejected": -148.0929718017578,
|
446 |
+
"loss": 0.6952,
|
447 |
+
"rewards/accuracies": 0.484375,
|
448 |
+
"rewards/chosen": -0.08776339888572693,
|
449 |
+
"rewards/margins": -0.0036940835416316986,
|
450 |
+
"rewards/rejected": -0.08406931161880493,
|
451 |
+
"step": 26
|
452 |
+
},
|
453 |
+
{
|
454 |
+
"epoch": 0.3557019349526554,
|
455 |
+
"grad_norm": 0.6049931645393372,
|
456 |
+
"learning_rate": 4.0717821664772124e-07,
|
457 |
+
"logits/chosen": 10.15705394744873,
|
458 |
+
"logits/rejected": 11.114046096801758,
|
459 |
+
"logps/chosen": -125.23123931884766,
|
460 |
+
"logps/ref_chosen": -117.1941146850586,
|
461 |
+
"logps/ref_rejected": -129.4031982421875,
|
462 |
+
"logps/rejected": -137.76333618164062,
|
463 |
+
"loss": 0.6918,
|
464 |
+
"rewards/accuracies": 0.5390625,
|
465 |
+
"rewards/chosen": -0.08037131279706955,
|
466 |
+
"rewards/margins": 0.0032299975864589214,
|
467 |
+
"rewards/rejected": -0.08360131084918976,
|
468 |
+
"step": 27
|
469 |
+
},
|
470 |
+
{
|
471 |
+
"epoch": 0.3688760806916426,
|
472 |
+
"grad_norm": 0.5475514531135559,
|
473 |
+
"learning_rate": 3.978930531033806e-07,
|
474 |
+
"logits/chosen": 9.436954498291016,
|
475 |
+
"logits/rejected": 10.49735164642334,
|
476 |
+
"logps/chosen": -125.24280548095703,
|
477 |
+
"logps/ref_chosen": -117.17620086669922,
|
478 |
+
"logps/ref_rejected": -130.76107788085938,
|
479 |
+
"logps/rejected": -138.6796875,
|
480 |
+
"loss": 0.6941,
|
481 |
+
"rewards/accuracies": 0.5078125,
|
482 |
+
"rewards/chosen": -0.08066616207361221,
|
483 |
+
"rewards/margins": -0.001479951897636056,
|
484 |
+
"rewards/rejected": -0.07918620854616165,
|
485 |
+
"step": 28
|
486 |
+
},
|
487 |
+
{
|
488 |
+
"epoch": 0.3820502264306299,
|
489 |
+
"grad_norm": 0.599656343460083,
|
490 |
+
"learning_rate": 3.882827885312998e-07,
|
491 |
+
"logits/chosen": 10.068204879760742,
|
492 |
+
"logits/rejected": 10.938701629638672,
|
493 |
+
"logps/chosen": -130.98472595214844,
|
494 |
+
"logps/ref_chosen": -123.2500228881836,
|
495 |
+
"logps/ref_rejected": -133.91970825195312,
|
496 |
+
"logps/rejected": -141.19216918945312,
|
497 |
+
"loss": 0.6957,
|
498 |
+
"rewards/accuracies": 0.453125,
|
499 |
+
"rewards/chosen": -0.07734709233045578,
|
500 |
+
"rewards/margins": -0.004622358828783035,
|
501 |
+
"rewards/rejected": -0.07272473722696304,
|
502 |
+
"step": 29
|
503 |
+
},
|
504 |
+
{
|
505 |
+
"epoch": 0.39522437216961714,
|
506 |
+
"grad_norm": 0.4804610311985016,
|
507 |
+
"learning_rate": 3.7836854837871044e-07,
|
508 |
+
"logits/chosen": 10.131808280944824,
|
509 |
+
"logits/rejected": 11.42764663696289,
|
510 |
+
"logps/chosen": -127.49568176269531,
|
511 |
+
"logps/ref_chosen": -118.52604675292969,
|
512 |
+
"logps/ref_rejected": -139.1146240234375,
|
513 |
+
"logps/rejected": -147.99575805664062,
|
514 |
+
"loss": 0.6938,
|
515 |
+
"rewards/accuracies": 0.5390625,
|
516 |
+
"rewards/chosen": -0.08969634026288986,
|
517 |
+
"rewards/margins": -0.0008849686128087342,
|
518 |
+
"rewards/rejected": -0.08881138265132904,
|
519 |
+
"step": 30
|
520 |
+
},
|
521 |
+
{
|
522 |
+
"epoch": 0.4083985179086044,
|
523 |
+
"grad_norm": 0.4208291471004486,
|
524 |
+
"learning_rate": 3.681721262971413e-07,
|
525 |
+
"logits/chosen": 9.75320816040039,
|
526 |
+
"logits/rejected": 10.846428871154785,
|
527 |
+
"logps/chosen": -119.75810241699219,
|
528 |
+
"logps/ref_chosen": -111.525146484375,
|
529 |
+
"logps/ref_rejected": -128.1785888671875,
|
530 |
+
"logps/rejected": -136.38653564453125,
|
531 |
+
"loss": 0.6935,
|
532 |
+
"rewards/accuracies": 0.515625,
|
533 |
+
"rewards/chosen": -0.08232954144477844,
|
534 |
+
"rewards/margins": -0.00024991348618641496,
|
535 |
+
"rewards/rejected": -0.08207963407039642,
|
536 |
+
"step": 31
|
537 |
+
},
|
538 |
+
{
|
539 |
+
"epoch": 0.4215726636475916,
|
540 |
+
"grad_norm": 0.7168395519256592,
|
541 |
+
"learning_rate": 3.577159362352426e-07,
|
542 |
+
"logits/chosen": 9.947325706481934,
|
543 |
+
"logits/rejected": 11.155643463134766,
|
544 |
+
"logps/chosen": -124.97373962402344,
|
545 |
+
"logps/ref_chosen": -116.80255126953125,
|
546 |
+
"logps/ref_rejected": -134.80767822265625,
|
547 |
+
"logps/rejected": -142.88174438476562,
|
548 |
+
"loss": 0.6939,
|
549 |
+
"rewards/accuracies": 0.4296875,
|
550 |
+
"rewards/chosen": -0.08171181380748749,
|
551 |
+
"rewards/margins": -0.0009711601305752993,
|
552 |
+
"rewards/rejected": -0.08074064552783966,
|
553 |
+
"step": 32
|
554 |
+
},
|
555 |
+
{
|
556 |
+
"epoch": 0.43474680938657884,
|
557 |
+
"grad_norm": 1.1801953315734863,
|
558 |
+
"learning_rate": 3.470229631680624e-07,
|
559 |
+
"logits/chosen": 10.00582504272461,
|
560 |
+
"logits/rejected": 10.817474365234375,
|
561 |
+
"logps/chosen": -127.24813842773438,
|
562 |
+
"logps/ref_chosen": -118.635009765625,
|
563 |
+
"logps/ref_rejected": -133.8279571533203,
|
564 |
+
"logps/rejected": -142.4803924560547,
|
565 |
+
"loss": 0.6932,
|
566 |
+
"rewards/accuracies": 0.4765625,
|
567 |
+
"rewards/chosen": -0.08613133430480957,
|
568 |
+
"rewards/margins": 0.0003930249949917197,
|
569 |
+
"rewards/rejected": -0.0865243598818779,
|
570 |
+
"step": 33
|
571 |
+
},
|
572 |
+
{
|
573 |
+
"epoch": 0.44792095512556607,
|
574 |
+
"grad_norm": 0.5862898230552673,
|
575 |
+
"learning_rate": 3.361167125710832e-07,
|
576 |
+
"logits/chosen": 10.005105972290039,
|
577 |
+
"logits/rejected": 10.864886283874512,
|
578 |
+
"logps/chosen": -135.84164428710938,
|
579 |
+
"logps/ref_chosen": -126.42659759521484,
|
580 |
+
"logps/ref_rejected": -143.6361846923828,
|
581 |
+
"logps/rejected": -153.5630340576172,
|
582 |
+
"loss": 0.6909,
|
583 |
+
"rewards/accuracies": 0.5390625,
|
584 |
+
"rewards/chosen": -0.09415031969547272,
|
585 |
+
"rewards/margins": 0.005118116270750761,
|
586 |
+
"rewards/rejected": -0.09926842898130417,
|
587 |
+
"step": 34
|
588 |
+
},
|
589 |
+
{
|
590 |
+
"epoch": 0.4610951008645533,
|
591 |
+
"grad_norm": 0.7007870674133301,
|
592 |
+
"learning_rate": 3.2502115875008516e-07,
|
593 |
+
"logits/chosen": 10.54973030090332,
|
594 |
+
"logits/rejected": 11.243837356567383,
|
595 |
+
"logps/chosen": -131.86981201171875,
|
596 |
+
"logps/ref_chosen": -123.14965057373047,
|
597 |
+
"logps/ref_rejected": -134.22947692871094,
|
598 |
+
"logps/rejected": -143.7413787841797,
|
599 |
+
"loss": 0.6895,
|
600 |
+
"rewards/accuracies": 0.5703125,
|
601 |
+
"rewards/chosen": -0.0872015431523323,
|
602 |
+
"rewards/margins": 0.007917709648609161,
|
603 |
+
"rewards/rejected": -0.09511925280094147,
|
604 |
+
"step": 35
|
605 |
+
},
|
606 |
+
{
|
607 |
+
"epoch": 0.47426924660354053,
|
608 |
+
"grad_norm": 0.7300606966018677,
|
609 |
+
"learning_rate": 3.137606921404191e-07,
|
610 |
+
"logits/chosen": 10.125234603881836,
|
611 |
+
"logits/rejected": 10.481938362121582,
|
612 |
+
"logps/chosen": -127.8335189819336,
|
613 |
+
"logps/ref_chosen": -118.79129791259766,
|
614 |
+
"logps/ref_rejected": -126.64965057373047,
|
615 |
+
"logps/rejected": -135.0525665283203,
|
616 |
+
"loss": 0.6966,
|
617 |
+
"rewards/accuracies": 0.4296875,
|
618 |
+
"rewards/chosen": -0.09042223542928696,
|
619 |
+
"rewards/margins": -0.006393034942448139,
|
620 |
+
"rewards/rejected": -0.0840291976928711,
|
621 |
+
"step": 36
|
622 |
+
},
|
623 |
+
{
|
624 |
+
"epoch": 0.4874433923425278,
|
625 |
+
"grad_norm": 0.456684947013855,
|
626 |
+
"learning_rate": 3.0236006569153616e-07,
|
627 |
+
"logits/chosen": 10.322757720947266,
|
628 |
+
"logits/rejected": 10.932893753051758,
|
629 |
+
"logps/chosen": -130.44381713867188,
|
630 |
+
"logps/ref_chosen": -121.899169921875,
|
631 |
+
"logps/ref_rejected": -136.85321044921875,
|
632 |
+
"logps/rejected": -145.57542419433594,
|
633 |
+
"loss": 0.6925,
|
634 |
+
"rewards/accuracies": 0.4921875,
|
635 |
+
"rewards/chosen": -0.08544634282588959,
|
636 |
+
"rewards/margins": 0.00177572516258806,
|
637 |
+
"rewards/rejected": -0.08722206950187683,
|
638 |
+
"step": 37
|
639 |
+
},
|
640 |
+
{
|
641 |
+
"epoch": 0.500617538081515,
|
642 |
+
"grad_norm": 0.6402201056480408,
|
643 |
+
"learning_rate": 2.9084434045463254e-07,
|
644 |
+
"logits/chosen": 10.014504432678223,
|
645 |
+
"logits/rejected": 10.873030662536621,
|
646 |
+
"logps/chosen": -127.30659484863281,
|
647 |
+
"logps/ref_chosen": -118.75363159179688,
|
648 |
+
"logps/ref_rejected": -132.82818603515625,
|
649 |
+
"logps/rejected": -141.9580535888672,
|
650 |
+
"loss": 0.6905,
|
651 |
+
"rewards/accuracies": 0.5546875,
|
652 |
+
"rewards/chosen": -0.08552955836057663,
|
653 |
+
"rewards/margins": 0.005769058130681515,
|
654 |
+
"rewards/rejected": -0.09129861742258072,
|
655 |
+
"step": 38
|
656 |
+
},
|
657 |
+
{
|
658 |
+
"epoch": 0.5137916838205022,
|
659 |
+
"grad_norm": 0.5188658833503723,
|
660 |
+
"learning_rate": 2.7923883049302066e-07,
|
661 |
+
"logits/chosen": 10.178832054138184,
|
662 |
+
"logits/rejected": 10.932839393615723,
|
663 |
+
"logps/chosen": -137.26002502441406,
|
664 |
+
"logps/ref_chosen": -128.23240661621094,
|
665 |
+
"logps/ref_rejected": -140.05517578125,
|
666 |
+
"logps/rejected": -149.08457946777344,
|
667 |
+
"loss": 0.6934,
|
668 |
+
"rewards/accuracies": 0.4765625,
|
669 |
+
"rewards/chosen": -0.09027623385190964,
|
670 |
+
"rewards/margins": 1.788110239431262e-05,
|
671 |
+
"rewards/rejected": -0.09029410034418106,
|
672 |
+
"step": 39
|
673 |
+
},
|
674 |
+
{
|
675 |
+
"epoch": 0.5269658295594895,
|
676 |
+
"grad_norm": 0.7729969024658203,
|
677 |
+
"learning_rate": 2.6756904723632324e-07,
|
678 |
+
"logits/chosen": 10.076566696166992,
|
679 |
+
"logits/rejected": 11.339007377624512,
|
680 |
+
"logps/chosen": -127.69380187988281,
|
681 |
+
"logps/ref_chosen": -118.38938903808594,
|
682 |
+
"logps/ref_rejected": -138.8988037109375,
|
683 |
+
"logps/rejected": -147.9398956298828,
|
684 |
+
"loss": 0.6947,
|
685 |
+
"rewards/accuracies": 0.484375,
|
686 |
+
"rewards/chosen": -0.09304402768611908,
|
687 |
+
"rewards/margins": -0.0026330682449042797,
|
688 |
+
"rewards/rejected": -0.09041095525026321,
|
689 |
+
"step": 40
|
690 |
+
},
|
691 |
+
{
|
692 |
+
"epoch": 0.5401399752984768,
|
693 |
+
"grad_norm": 0.6295668482780457,
|
694 |
+
"learning_rate": 2.5586064340081516e-07,
|
695 |
+
"logits/chosen": 10.364312171936035,
|
696 |
+
"logits/rejected": 10.864094734191895,
|
697 |
+
"logps/chosen": -126.18923950195312,
|
698 |
+
"logps/ref_chosen": -117.82182312011719,
|
699 |
+
"logps/ref_rejected": -132.89553833007812,
|
700 |
+
"logps/rejected": -142.4484405517578,
|
701 |
+
"loss": 0.6875,
|
702 |
+
"rewards/accuracies": 0.5703125,
|
703 |
+
"rewards/chosen": -0.08367416262626648,
|
704 |
+
"rewards/margins": 0.011854931712150574,
|
705 |
+
"rewards/rejected": -0.09552909433841705,
|
706 |
+
"step": 41
|
707 |
+
},
|
708 |
+
{
|
709 |
+
"epoch": 0.553314121037464,
|
710 |
+
"grad_norm": 0.6686902046203613,
|
711 |
+
"learning_rate": 2.4413935659918487e-07,
|
712 |
+
"logits/chosen": 9.487873077392578,
|
713 |
+
"logits/rejected": 10.435559272766113,
|
714 |
+
"logps/chosen": -125.37492370605469,
|
715 |
+
"logps/ref_chosen": -117.0536117553711,
|
716 |
+
"logps/ref_rejected": -130.59812927246094,
|
717 |
+
"logps/rejected": -139.56155395507812,
|
718 |
+
"loss": 0.6903,
|
719 |
+
"rewards/accuracies": 0.5234375,
|
720 |
+
"rewards/chosen": -0.08321310579776764,
|
721 |
+
"rewards/margins": 0.006421199534088373,
|
722 |
+
"rewards/rejected": -0.08963430672883987,
|
723 |
+
"step": 42
|
724 |
+
},
|
725 |
+
{
|
726 |
+
"epoch": 0.5664882667764513,
|
727 |
+
"grad_norm": 0.5477384924888611,
|
728 |
+
"learning_rate": 2.3243095276367684e-07,
|
729 |
+
"logits/chosen": 9.582094192504883,
|
730 |
+
"logits/rejected": 10.506773948669434,
|
731 |
+
"logps/chosen": -124.29164123535156,
|
732 |
+
"logps/ref_chosen": -115.851806640625,
|
733 |
+
"logps/ref_rejected": -130.8096160888672,
|
734 |
+
"logps/rejected": -139.1727294921875,
|
735 |
+
"loss": 0.6938,
|
736 |
+
"rewards/accuracies": 0.515625,
|
737 |
+
"rewards/chosen": -0.08439842611551285,
|
738 |
+
"rewards/margins": -0.0007674552034586668,
|
739 |
+
"rewards/rejected": -0.08363097161054611,
|
740 |
+
"step": 43
|
741 |
+
},
|
742 |
+
{
|
743 |
+
"epoch": 0.5796624125154385,
|
744 |
+
"grad_norm": 0.4657438397407532,
|
745 |
+
"learning_rate": 2.2076116950697937e-07,
|
746 |
+
"logits/chosen": 9.838776588439941,
|
747 |
+
"logits/rejected": 10.566040992736816,
|
748 |
+
"logps/chosen": -126.56464385986328,
|
749 |
+
"logps/ref_chosen": -117.90168762207031,
|
750 |
+
"logps/ref_rejected": -132.960693359375,
|
751 |
+
"logps/rejected": -142.1176300048828,
|
752 |
+
"loss": 0.6909,
|
753 |
+
"rewards/accuracies": 0.5390625,
|
754 |
+
"rewards/chosen": -0.08662942796945572,
|
755 |
+
"rewards/margins": 0.004940015729516745,
|
756 |
+
"rewards/rejected": -0.0915694385766983,
|
757 |
+
"step": 44
|
758 |
+
},
|
759 |
+
{
|
760 |
+
"epoch": 0.5928365582544257,
|
761 |
+
"grad_norm": 0.4596782922744751,
|
762 |
+
"learning_rate": 2.091556595453674e-07,
|
763 |
+
"logits/chosen": 9.941704750061035,
|
764 |
+
"logits/rejected": 10.477331161499023,
|
765 |
+
"logps/chosen": -127.3547592163086,
|
766 |
+
"logps/ref_chosen": -118.84819030761719,
|
767 |
+
"logps/ref_rejected": -134.4351806640625,
|
768 |
+
"logps/rejected": -143.46334838867188,
|
769 |
+
"loss": 0.6908,
|
770 |
+
"rewards/accuracies": 0.5390625,
|
771 |
+
"rewards/chosen": -0.08506564050912857,
|
772 |
+
"rewards/margins": 0.005216139368712902,
|
773 |
+
"rewards/rejected": -0.09028176963329315,
|
774 |
+
"step": 45
|
775 |
+
},
|
776 |
+
{
|
777 |
+
"epoch": 0.606010703993413,
|
778 |
+
"grad_norm": 0.7369089722633362,
|
779 |
+
"learning_rate": 1.9763993430846392e-07,
|
780 |
+
"logits/chosen": 9.956421852111816,
|
781 |
+
"logits/rejected": 10.419254302978516,
|
782 |
+
"logps/chosen": -124.58769989013672,
|
783 |
+
"logps/ref_chosen": -116.23255920410156,
|
784 |
+
"logps/ref_rejected": -127.91217041015625,
|
785 |
+
"logps/rejected": -137.61070251464844,
|
786 |
+
"loss": 0.6867,
|
787 |
+
"rewards/accuracies": 0.609375,
|
788 |
+
"rewards/chosen": -0.08355137705802917,
|
789 |
+
"rewards/margins": 0.013433952815830708,
|
790 |
+
"rewards/rejected": -0.0969853326678276,
|
791 |
+
"step": 46
|
792 |
+
},
|
793 |
+
{
|
794 |
+
"epoch": 0.6191848497324002,
|
795 |
+
"grad_norm": 0.6935871243476868,
|
796 |
+
"learning_rate": 1.862393078595809e-07,
|
797 |
+
"logits/chosen": 9.769856452941895,
|
798 |
+
"logits/rejected": 10.882231712341309,
|
799 |
+
"logps/chosen": -133.2343292236328,
|
800 |
+
"logps/ref_chosen": -123.88105773925781,
|
801 |
+
"logps/ref_rejected": -140.62420654296875,
|
802 |
+
"logps/rejected": -150.24195861816406,
|
803 |
+
"loss": 0.692,
|
804 |
+
"rewards/accuracies": 0.5078125,
|
805 |
+
"rewards/chosen": -0.09353267401456833,
|
806 |
+
"rewards/margins": 0.0026449086144566536,
|
807 |
+
"rewards/rejected": -0.0961775854229927,
|
808 |
+
"step": 47
|
809 |
+
},
|
810 |
+
{
|
811 |
+
"epoch": 0.6323589954713874,
|
812 |
+
"grad_norm": 0.9227128624916077,
|
813 |
+
"learning_rate": 1.7497884124991485e-07,
|
814 |
+
"logits/chosen": 10.461740493774414,
|
815 |
+
"logits/rejected": 11.23796272277832,
|
816 |
+
"logps/chosen": -129.02268981933594,
|
817 |
+
"logps/ref_chosen": -119.78947448730469,
|
818 |
+
"logps/ref_rejected": -134.12991333007812,
|
819 |
+
"logps/rejected": -143.42581176757812,
|
820 |
+
"loss": 0.693,
|
821 |
+
"rewards/accuracies": 0.4765625,
|
822 |
+
"rewards/chosen": -0.09233222156763077,
|
823 |
+
"rewards/margins": 0.0006269109435379505,
|
824 |
+
"rewards/rejected": -0.09295912832021713,
|
825 |
+
"step": 48
|
826 |
+
}
|
827 |
+
],
|
828 |
+
"logging_steps": 1,
|
829 |
+
"max_steps": 75,
|
830 |
+
"num_input_tokens_seen": 0,
|
831 |
+
"num_train_epochs": 1,
|
832 |
+
"save_steps": 12,
|
833 |
+
"stateful_callbacks": {
|
834 |
+
"TrainerControl": {
|
835 |
+
"args": {
|
836 |
+
"should_epoch_stop": false,
|
837 |
+
"should_evaluate": false,
|
838 |
+
"should_log": false,
|
839 |
+
"should_save": true,
|
840 |
+
"should_training_stop": false
|
841 |
+
},
|
842 |
+
"attributes": {}
|
843 |
+
}
|
844 |
+
},
|
845 |
+
"total_flos": 0.0,
|
846 |
+
"train_batch_size": 2,
|
847 |
+
"trial_name": null,
|
848 |
+
"trial_params": null
|
849 |
+
}
|
checkpoint-60/added_tokens.json
ADDED
@@ -0,0 +1,13 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"<|assistant|>": 32001,
|
3 |
+
"<|endoftext|>": 32000,
|
4 |
+
"<|end|>": 32007,
|
5 |
+
"<|placeholder1|>": 32002,
|
6 |
+
"<|placeholder2|>": 32003,
|
7 |
+
"<|placeholder3|>": 32004,
|
8 |
+
"<|placeholder4|>": 32005,
|
9 |
+
"<|placeholder5|>": 32008,
|
10 |
+
"<|placeholder6|>": 32009,
|
11 |
+
"<|system|>": 32006,
|
12 |
+
"<|user|>": 32010
|
13 |
+
}
|
checkpoint-60/config.json
ADDED
@@ -0,0 +1,36 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"_name_or_path": "/home/v-liuzichuan/huggingface/Phi-3-mini-4k-instruct",
|
3 |
+
"architectures": [
|
4 |
+
"Phi3ForCausalLM"
|
5 |
+
],
|
6 |
+
"attention_bias": false,
|
7 |
+
"attention_dropout": 0.0,
|
8 |
+
"auto_map": {
|
9 |
+
"AutoConfig": "configuration_phi3.Phi3Config",
|
10 |
+
"AutoModelForCausalLM": "modeling_phi3.Phi3ForCausalLM"
|
11 |
+
},
|
12 |
+
"bos_token_id": 1,
|
13 |
+
"embd_pdrop": 0.0,
|
14 |
+
"eos_token_id": 32000,
|
15 |
+
"hidden_act": "silu",
|
16 |
+
"hidden_size": 3072,
|
17 |
+
"initializer_range": 0.02,
|
18 |
+
"intermediate_size": 8192,
|
19 |
+
"max_position_embeddings": 4096,
|
20 |
+
"model_type": "phi3",
|
21 |
+
"num_attention_heads": 32,
|
22 |
+
"num_hidden_layers": 32,
|
23 |
+
"num_key_value_heads": 32,
|
24 |
+
"original_max_position_embeddings": 4096,
|
25 |
+
"pad_token_id": 32000,
|
26 |
+
"resid_pdrop": 0.0,
|
27 |
+
"rms_norm_eps": 1e-05,
|
28 |
+
"rope_scaling": null,
|
29 |
+
"rope_theta": 10000.0,
|
30 |
+
"sliding_window": 2047,
|
31 |
+
"tie_word_embeddings": false,
|
32 |
+
"torch_dtype": "bfloat16",
|
33 |
+
"transformers_version": "4.45.2",
|
34 |
+
"use_cache": false,
|
35 |
+
"vocab_size": 32064
|
36 |
+
}
|
checkpoint-60/generation_config.json
ADDED
@@ -0,0 +1,11 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"_from_model_config": true,
|
3 |
+
"bos_token_id": 1,
|
4 |
+
"eos_token_id": [
|
5 |
+
32000,
|
6 |
+
32001,
|
7 |
+
32007
|
8 |
+
],
|
9 |
+
"pad_token_id": 32000,
|
10 |
+
"transformers_version": "4.45.2"
|
11 |
+
}
|
checkpoint-60/model-00001-of-00002.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:b8daa158549478bd5b073773f705be437055ab86fa21623bcb3641a22021c68a
|
3 |
+
size 4972489328
|
checkpoint-60/model-00002-of-00002.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:aa17ddf93029eb17d01d3ce466dce4e8f3be27cf051c8a7ace38b4f83c4fe5c6
|
3 |
+
size 2669692552
|
checkpoint-60/model.safetensors.index.json
ADDED
@@ -0,0 +1,202 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"metadata": {
|
3 |
+
"total_size": 7642159104
|
4 |
+
},
|
5 |
+
"weight_map": {
|
6 |
+
"lm_head.weight": "model-00002-of-00002.safetensors",
|
7 |
+
"model.embed_tokens.weight": "model-00001-of-00002.safetensors",
|
8 |
+
"model.layers.0.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
9 |
+
"model.layers.0.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
10 |
+
"model.layers.0.mlp.gate_up_proj.weight": "model-00001-of-00002.safetensors",
|
11 |
+
"model.layers.0.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
12 |
+
"model.layers.0.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
13 |
+
"model.layers.0.self_attn.qkv_proj.weight": "model-00001-of-00002.safetensors",
|
14 |
+
"model.layers.1.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
15 |
+
"model.layers.1.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
16 |
+
"model.layers.1.mlp.gate_up_proj.weight": "model-00001-of-00002.safetensors",
|
17 |
+
"model.layers.1.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
18 |
+
"model.layers.1.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
19 |
+
"model.layers.1.self_attn.qkv_proj.weight": "model-00001-of-00002.safetensors",
|
20 |
+
"model.layers.10.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
21 |
+
"model.layers.10.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
22 |
+
"model.layers.10.mlp.gate_up_proj.weight": "model-00001-of-00002.safetensors",
|
23 |
+
"model.layers.10.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
24 |
+
"model.layers.10.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
25 |
+
"model.layers.10.self_attn.qkv_proj.weight": "model-00001-of-00002.safetensors",
|
26 |
+
"model.layers.11.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
27 |
+
"model.layers.11.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
28 |
+
"model.layers.11.mlp.gate_up_proj.weight": "model-00001-of-00002.safetensors",
|
29 |
+
"model.layers.11.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
30 |
+
"model.layers.11.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
31 |
+
"model.layers.11.self_attn.qkv_proj.weight": "model-00001-of-00002.safetensors",
|
32 |
+
"model.layers.12.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
33 |
+
"model.layers.12.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
34 |
+
"model.layers.12.mlp.gate_up_proj.weight": "model-00001-of-00002.safetensors",
|
35 |
+
"model.layers.12.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
36 |
+
"model.layers.12.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
37 |
+
"model.layers.12.self_attn.qkv_proj.weight": "model-00001-of-00002.safetensors",
|
38 |
+
"model.layers.13.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
39 |
+
"model.layers.13.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
40 |
+
"model.layers.13.mlp.gate_up_proj.weight": "model-00001-of-00002.safetensors",
|
41 |
+
"model.layers.13.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
42 |
+
"model.layers.13.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
43 |
+
"model.layers.13.self_attn.qkv_proj.weight": "model-00001-of-00002.safetensors",
|
44 |
+
"model.layers.14.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
45 |
+
"model.layers.14.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
46 |
+
"model.layers.14.mlp.gate_up_proj.weight": "model-00001-of-00002.safetensors",
|
47 |
+
"model.layers.14.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
48 |
+
"model.layers.14.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
49 |
+
"model.layers.14.self_attn.qkv_proj.weight": "model-00001-of-00002.safetensors",
|
50 |
+
"model.layers.15.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
51 |
+
"model.layers.15.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
52 |
+
"model.layers.15.mlp.gate_up_proj.weight": "model-00001-of-00002.safetensors",
|
53 |
+
"model.layers.15.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
54 |
+
"model.layers.15.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
55 |
+
"model.layers.15.self_attn.qkv_proj.weight": "model-00001-of-00002.safetensors",
|
56 |
+
"model.layers.16.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
57 |
+
"model.layers.16.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
58 |
+
"model.layers.16.mlp.gate_up_proj.weight": "model-00001-of-00002.safetensors",
|
59 |
+
"model.layers.16.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
60 |
+
"model.layers.16.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
61 |
+
"model.layers.16.self_attn.qkv_proj.weight": "model-00001-of-00002.safetensors",
|
62 |
+
"model.layers.17.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
63 |
+
"model.layers.17.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
64 |
+
"model.layers.17.mlp.gate_up_proj.weight": "model-00001-of-00002.safetensors",
|
65 |
+
"model.layers.17.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
66 |
+
"model.layers.17.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
67 |
+
"model.layers.17.self_attn.qkv_proj.weight": "model-00001-of-00002.safetensors",
|
68 |
+
"model.layers.18.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
69 |
+
"model.layers.18.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
70 |
+
"model.layers.18.mlp.gate_up_proj.weight": "model-00001-of-00002.safetensors",
|
71 |
+
"model.layers.18.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
72 |
+
"model.layers.18.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
73 |
+
"model.layers.18.self_attn.qkv_proj.weight": "model-00001-of-00002.safetensors",
|
74 |
+
"model.layers.19.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
75 |
+
"model.layers.19.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
76 |
+
"model.layers.19.mlp.gate_up_proj.weight": "model-00001-of-00002.safetensors",
|
77 |
+
"model.layers.19.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
78 |
+
"model.layers.19.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
79 |
+
"model.layers.19.self_attn.qkv_proj.weight": "model-00001-of-00002.safetensors",
|
80 |
+
"model.layers.2.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
81 |
+
"model.layers.2.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
82 |
+
"model.layers.2.mlp.gate_up_proj.weight": "model-00001-of-00002.safetensors",
|
83 |
+
"model.layers.2.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
84 |
+
"model.layers.2.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
85 |
+
"model.layers.2.self_attn.qkv_proj.weight": "model-00001-of-00002.safetensors",
|
86 |
+
"model.layers.20.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
87 |
+
"model.layers.20.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
88 |
+
"model.layers.20.mlp.gate_up_proj.weight": "model-00001-of-00002.safetensors",
|
89 |
+
"model.layers.20.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
90 |
+
"model.layers.20.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
91 |
+
"model.layers.20.self_attn.qkv_proj.weight": "model-00001-of-00002.safetensors",
|
92 |
+
"model.layers.21.input_layernorm.weight": "model-00002-of-00002.safetensors",
|
93 |
+
"model.layers.21.mlp.down_proj.weight": "model-00002-of-00002.safetensors",
|
94 |
+
"model.layers.21.mlp.gate_up_proj.weight": "model-00002-of-00002.safetensors",
|
95 |
+
"model.layers.21.post_attention_layernorm.weight": "model-00002-of-00002.safetensors",
|
96 |
+
"model.layers.21.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
97 |
+
"model.layers.21.self_attn.qkv_proj.weight": "model-00002-of-00002.safetensors",
|
98 |
+
"model.layers.22.input_layernorm.weight": "model-00002-of-00002.safetensors",
|
99 |
+
"model.layers.22.mlp.down_proj.weight": "model-00002-of-00002.safetensors",
|
100 |
+
"model.layers.22.mlp.gate_up_proj.weight": "model-00002-of-00002.safetensors",
|
101 |
+
"model.layers.22.post_attention_layernorm.weight": "model-00002-of-00002.safetensors",
|
102 |
+
"model.layers.22.self_attn.o_proj.weight": "model-00002-of-00002.safetensors",
|
103 |
+
"model.layers.22.self_attn.qkv_proj.weight": "model-00002-of-00002.safetensors",
|
104 |
+
"model.layers.23.input_layernorm.weight": "model-00002-of-00002.safetensors",
|
105 |
+
"model.layers.23.mlp.down_proj.weight": "model-00002-of-00002.safetensors",
|
106 |
+
"model.layers.23.mlp.gate_up_proj.weight": "model-00002-of-00002.safetensors",
|
107 |
+
"model.layers.23.post_attention_layernorm.weight": "model-00002-of-00002.safetensors",
|
108 |
+
"model.layers.23.self_attn.o_proj.weight": "model-00002-of-00002.safetensors",
|
109 |
+
"model.layers.23.self_attn.qkv_proj.weight": "model-00002-of-00002.safetensors",
|
110 |
+
"model.layers.24.input_layernorm.weight": "model-00002-of-00002.safetensors",
|
111 |
+
"model.layers.24.mlp.down_proj.weight": "model-00002-of-00002.safetensors",
|
112 |
+
"model.layers.24.mlp.gate_up_proj.weight": "model-00002-of-00002.safetensors",
|
113 |
+
"model.layers.24.post_attention_layernorm.weight": "model-00002-of-00002.safetensors",
|
114 |
+
"model.layers.24.self_attn.o_proj.weight": "model-00002-of-00002.safetensors",
|
115 |
+
"model.layers.24.self_attn.qkv_proj.weight": "model-00002-of-00002.safetensors",
|
116 |
+
"model.layers.25.input_layernorm.weight": "model-00002-of-00002.safetensors",
|
117 |
+
"model.layers.25.mlp.down_proj.weight": "model-00002-of-00002.safetensors",
|
118 |
+
"model.layers.25.mlp.gate_up_proj.weight": "model-00002-of-00002.safetensors",
|
119 |
+
"model.layers.25.post_attention_layernorm.weight": "model-00002-of-00002.safetensors",
|
120 |
+
"model.layers.25.self_attn.o_proj.weight": "model-00002-of-00002.safetensors",
|
121 |
+
"model.layers.25.self_attn.qkv_proj.weight": "model-00002-of-00002.safetensors",
|
122 |
+
"model.layers.26.input_layernorm.weight": "model-00002-of-00002.safetensors",
|
123 |
+
"model.layers.26.mlp.down_proj.weight": "model-00002-of-00002.safetensors",
|
124 |
+
"model.layers.26.mlp.gate_up_proj.weight": "model-00002-of-00002.safetensors",
|
125 |
+
"model.layers.26.post_attention_layernorm.weight": "model-00002-of-00002.safetensors",
|
126 |
+
"model.layers.26.self_attn.o_proj.weight": "model-00002-of-00002.safetensors",
|
127 |
+
"model.layers.26.self_attn.qkv_proj.weight": "model-00002-of-00002.safetensors",
|
128 |
+
"model.layers.27.input_layernorm.weight": "model-00002-of-00002.safetensors",
|
129 |
+
"model.layers.27.mlp.down_proj.weight": "model-00002-of-00002.safetensors",
|
130 |
+
"model.layers.27.mlp.gate_up_proj.weight": "model-00002-of-00002.safetensors",
|
131 |
+
"model.layers.27.post_attention_layernorm.weight": "model-00002-of-00002.safetensors",
|
132 |
+
"model.layers.27.self_attn.o_proj.weight": "model-00002-of-00002.safetensors",
|
133 |
+
"model.layers.27.self_attn.qkv_proj.weight": "model-00002-of-00002.safetensors",
|
134 |
+
"model.layers.28.input_layernorm.weight": "model-00002-of-00002.safetensors",
|
135 |
+
"model.layers.28.mlp.down_proj.weight": "model-00002-of-00002.safetensors",
|
136 |
+
"model.layers.28.mlp.gate_up_proj.weight": "model-00002-of-00002.safetensors",
|
137 |
+
"model.layers.28.post_attention_layernorm.weight": "model-00002-of-00002.safetensors",
|
138 |
+
"model.layers.28.self_attn.o_proj.weight": "model-00002-of-00002.safetensors",
|
139 |
+
"model.layers.28.self_attn.qkv_proj.weight": "model-00002-of-00002.safetensors",
|
140 |
+
"model.layers.29.input_layernorm.weight": "model-00002-of-00002.safetensors",
|
141 |
+
"model.layers.29.mlp.down_proj.weight": "model-00002-of-00002.safetensors",
|
142 |
+
"model.layers.29.mlp.gate_up_proj.weight": "model-00002-of-00002.safetensors",
|
143 |
+
"model.layers.29.post_attention_layernorm.weight": "model-00002-of-00002.safetensors",
|
144 |
+
"model.layers.29.self_attn.o_proj.weight": "model-00002-of-00002.safetensors",
|
145 |
+
"model.layers.29.self_attn.qkv_proj.weight": "model-00002-of-00002.safetensors",
|
146 |
+
"model.layers.3.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
147 |
+
"model.layers.3.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
148 |
+
"model.layers.3.mlp.gate_up_proj.weight": "model-00001-of-00002.safetensors",
|
149 |
+
"model.layers.3.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
150 |
+
"model.layers.3.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
151 |
+
"model.layers.3.self_attn.qkv_proj.weight": "model-00001-of-00002.safetensors",
|
152 |
+
"model.layers.30.input_layernorm.weight": "model-00002-of-00002.safetensors",
|
153 |
+
"model.layers.30.mlp.down_proj.weight": "model-00002-of-00002.safetensors",
|
154 |
+
"model.layers.30.mlp.gate_up_proj.weight": "model-00002-of-00002.safetensors",
|
155 |
+
"model.layers.30.post_attention_layernorm.weight": "model-00002-of-00002.safetensors",
|
156 |
+
"model.layers.30.self_attn.o_proj.weight": "model-00002-of-00002.safetensors",
|
157 |
+
"model.layers.30.self_attn.qkv_proj.weight": "model-00002-of-00002.safetensors",
|
158 |
+
"model.layers.31.input_layernorm.weight": "model-00002-of-00002.safetensors",
|
159 |
+
"model.layers.31.mlp.down_proj.weight": "model-00002-of-00002.safetensors",
|
160 |
+
"model.layers.31.mlp.gate_up_proj.weight": "model-00002-of-00002.safetensors",
|
161 |
+
"model.layers.31.post_attention_layernorm.weight": "model-00002-of-00002.safetensors",
|
162 |
+
"model.layers.31.self_attn.o_proj.weight": "model-00002-of-00002.safetensors",
|
163 |
+
"model.layers.31.self_attn.qkv_proj.weight": "model-00002-of-00002.safetensors",
|
164 |
+
"model.layers.4.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
165 |
+
"model.layers.4.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
166 |
+
"model.layers.4.mlp.gate_up_proj.weight": "model-00001-of-00002.safetensors",
|
167 |
+
"model.layers.4.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
168 |
+
"model.layers.4.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
169 |
+
"model.layers.4.self_attn.qkv_proj.weight": "model-00001-of-00002.safetensors",
|
170 |
+
"model.layers.5.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
171 |
+
"model.layers.5.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
172 |
+
"model.layers.5.mlp.gate_up_proj.weight": "model-00001-of-00002.safetensors",
|
173 |
+
"model.layers.5.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
174 |
+
"model.layers.5.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
175 |
+
"model.layers.5.self_attn.qkv_proj.weight": "model-00001-of-00002.safetensors",
|
176 |
+
"model.layers.6.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
177 |
+
"model.layers.6.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
178 |
+
"model.layers.6.mlp.gate_up_proj.weight": "model-00001-of-00002.safetensors",
|
179 |
+
"model.layers.6.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
180 |
+
"model.layers.6.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
181 |
+
"model.layers.6.self_attn.qkv_proj.weight": "model-00001-of-00002.safetensors",
|
182 |
+
"model.layers.7.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
183 |
+
"model.layers.7.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
184 |
+
"model.layers.7.mlp.gate_up_proj.weight": "model-00001-of-00002.safetensors",
|
185 |
+
"model.layers.7.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
186 |
+
"model.layers.7.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
187 |
+
"model.layers.7.self_attn.qkv_proj.weight": "model-00001-of-00002.safetensors",
|
188 |
+
"model.layers.8.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
189 |
+
"model.layers.8.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
190 |
+
"model.layers.8.mlp.gate_up_proj.weight": "model-00001-of-00002.safetensors",
|
191 |
+
"model.layers.8.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
192 |
+
"model.layers.8.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
193 |
+
"model.layers.8.self_attn.qkv_proj.weight": "model-00001-of-00002.safetensors",
|
194 |
+
"model.layers.9.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
195 |
+
"model.layers.9.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
196 |
+
"model.layers.9.mlp.gate_up_proj.weight": "model-00001-of-00002.safetensors",
|
197 |
+
"model.layers.9.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
198 |
+
"model.layers.9.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
199 |
+
"model.layers.9.self_attn.qkv_proj.weight": "model-00001-of-00002.safetensors",
|
200 |
+
"model.norm.weight": "model-00002-of-00002.safetensors"
|
201 |
+
}
|
202 |
+
}
|
checkpoint-60/special_tokens_map.json
ADDED
@@ -0,0 +1,30 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"bos_token": {
|
3 |
+
"content": "<s>",
|
4 |
+
"lstrip": false,
|
5 |
+
"normalized": false,
|
6 |
+
"rstrip": false,
|
7 |
+
"single_word": false
|
8 |
+
},
|
9 |
+
"eos_token": {
|
10 |
+
"content": "<|endoftext|>",
|
11 |
+
"lstrip": false,
|
12 |
+
"normalized": false,
|
13 |
+
"rstrip": false,
|
14 |
+
"single_word": false
|
15 |
+
},
|
16 |
+
"pad_token": {
|
17 |
+
"content": "<|endoftext|>",
|
18 |
+
"lstrip": false,
|
19 |
+
"normalized": false,
|
20 |
+
"rstrip": false,
|
21 |
+
"single_word": false
|
22 |
+
},
|
23 |
+
"unk_token": {
|
24 |
+
"content": "<unk>",
|
25 |
+
"lstrip": false,
|
26 |
+
"normalized": false,
|
27 |
+
"rstrip": false,
|
28 |
+
"single_word": false
|
29 |
+
}
|
30 |
+
}
|
checkpoint-60/tokenizer.json
ADDED
The diff for this file is too large to render.
See raw diff
|
|