Yukirsh commited on
Commit
8090119
·
verified ·
1 Parent(s): 459d6d1

Upload folder using huggingface_hub

Browse files
.gitattributes CHANGED
@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
33
  *.zip filter=lfs diff=lfs merge=lfs -text
34
  *.zst filter=lfs diff=lfs merge=lfs -text
35
  *tfevents* filter=lfs diff=lfs merge=lfs -text
 
 
33
  *.zip filter=lfs diff=lfs merge=lfs -text
34
  *.zst filter=lfs diff=lfs merge=lfs -text
35
  *tfevents* filter=lfs diff=lfs merge=lfs -text
36
+ tokenizer.json filter=lfs diff=lfs merge=lfs -text
added_tokens.json ADDED
@@ -0,0 +1,24 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "</tool_call>": 151658,
3
+ "<tool_call>": 151657,
4
+ "<|box_end|>": 151649,
5
+ "<|box_start|>": 151648,
6
+ "<|endoftext|>": 151643,
7
+ "<|file_sep|>": 151664,
8
+ "<|fim_middle|>": 151660,
9
+ "<|fim_pad|>": 151662,
10
+ "<|fim_prefix|>": 151659,
11
+ "<|fim_suffix|>": 151661,
12
+ "<|im_end|>": 151645,
13
+ "<|im_start|>": 151644,
14
+ "<|image_pad|>": 151655,
15
+ "<|object_ref_end|>": 151647,
16
+ "<|object_ref_start|>": 151646,
17
+ "<|quad_end|>": 151651,
18
+ "<|quad_start|>": 151650,
19
+ "<|repo_name|>": 151663,
20
+ "<|video_pad|>": 151656,
21
+ "<|vision_end|>": 151653,
22
+ "<|vision_pad|>": 151654,
23
+ "<|vision_start|>": 151652
24
+ }
config.json ADDED
@@ -0,0 +1,29 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_name_or_path": "/gruntdata/event_graph/llm_models/Qwen2.5-14B-Instruct",
3
+ "architectures": [
4
+ "Qwen2ForCausalLM"
5
+ ],
6
+ "attention_dropout": 0.0,
7
+ "bos_token_id": 151643,
8
+ "eos_token_id": 151645,
9
+ "hidden_act": "silu",
10
+ "hidden_size": 5120,
11
+ "initializer_range": 0.02,
12
+ "intermediate_size": 13824,
13
+ "max_position_embeddings": 32768,
14
+ "max_window_layers": 70,
15
+ "model_type": "qwen2",
16
+ "num_attention_heads": 40,
17
+ "num_hidden_layers": 48,
18
+ "num_key_value_heads": 8,
19
+ "rms_norm_eps": 1e-06,
20
+ "rope_scaling": null,
21
+ "rope_theta": 1000000.0,
22
+ "sliding_window": 131072,
23
+ "tie_word_embeddings": false,
24
+ "torch_dtype": "bfloat16",
25
+ "transformers_version": "4.49.0",
26
+ "use_cache": false,
27
+ "use_sliding_window": false,
28
+ "vocab_size": 152064
29
+ }
generation_config.json ADDED
@@ -0,0 +1,14 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "bos_token_id": 151643,
3
+ "do_sample": true,
4
+ "eos_token_id": [
5
+ 151645,
6
+ 151643
7
+ ],
8
+ "pad_token_id": 151643,
9
+ "repetition_penalty": 1.05,
10
+ "temperature": 0.7,
11
+ "top_k": 20,
12
+ "top_p": 0.8,
13
+ "transformers_version": "4.49.0"
14
+ }
merges.txt ADDED
The diff for this file is too large to render. See raw diff
 
model-00001-of-00006.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:d1bea0a8dd5abc45a6d6416ddfe8505b7ebce20922290af3eabb944404b91a53
3
+ size 4986211280
model-00002-of-00006.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:f16bc0ef76a15c4627fd83b65bdd7cc2880777c85dbb989727b5975c608c10bb
3
+ size 4954847344
model-00003-of-00006.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:48e9968fd644c321708cd356434802fb6628b2ed19bf16fb83fc52e6d54bd171
3
+ size 4954847392
model-00004-of-00006.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:336519e8c47c270ff484b609645f3601247875f06305349937c343bbe0191d61
3
+ size 4954847392
model-00005-of-00006.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:9c5021fcf19b9e19366c0d66c5c80676445f1cca7c37b9e8c18bffc90eea7b9c
3
+ size 4954847392
model-00006-of-00006.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:9a974f5c76a49c183710b4b4f3dc2d1d12f8a85d48c8e3ac10637855bc9d8975
3
+ size 4734533160
model.safetensors.index.json ADDED
@@ -0,0 +1,586 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "metadata": {
3
+ "total_size": 29540067328
4
+ },
5
+ "weight_map": {
6
+ "lm_head.weight": "model-00006-of-00006.safetensors",
7
+ "model.embed_tokens.weight": "model-00001-of-00006.safetensors",
8
+ "model.layers.0.input_layernorm.weight": "model-00001-of-00006.safetensors",
9
+ "model.layers.0.mlp.down_proj.weight": "model-00001-of-00006.safetensors",
10
+ "model.layers.0.mlp.gate_proj.weight": "model-00001-of-00006.safetensors",
11
+ "model.layers.0.mlp.up_proj.weight": "model-00001-of-00006.safetensors",
12
+ "model.layers.0.post_attention_layernorm.weight": "model-00001-of-00006.safetensors",
13
+ "model.layers.0.self_attn.k_proj.bias": "model-00001-of-00006.safetensors",
14
+ "model.layers.0.self_attn.k_proj.weight": "model-00001-of-00006.safetensors",
15
+ "model.layers.0.self_attn.o_proj.weight": "model-00001-of-00006.safetensors",
16
+ "model.layers.0.self_attn.q_proj.bias": "model-00001-of-00006.safetensors",
17
+ "model.layers.0.self_attn.q_proj.weight": "model-00001-of-00006.safetensors",
18
+ "model.layers.0.self_attn.v_proj.bias": "model-00001-of-00006.safetensors",
19
+ "model.layers.0.self_attn.v_proj.weight": "model-00001-of-00006.safetensors",
20
+ "model.layers.1.input_layernorm.weight": "model-00001-of-00006.safetensors",
21
+ "model.layers.1.mlp.down_proj.weight": "model-00001-of-00006.safetensors",
22
+ "model.layers.1.mlp.gate_proj.weight": "model-00001-of-00006.safetensors",
23
+ "model.layers.1.mlp.up_proj.weight": "model-00001-of-00006.safetensors",
24
+ "model.layers.1.post_attention_layernorm.weight": "model-00001-of-00006.safetensors",
25
+ "model.layers.1.self_attn.k_proj.bias": "model-00001-of-00006.safetensors",
26
+ "model.layers.1.self_attn.k_proj.weight": "model-00001-of-00006.safetensors",
27
+ "model.layers.1.self_attn.o_proj.weight": "model-00001-of-00006.safetensors",
28
+ "model.layers.1.self_attn.q_proj.bias": "model-00001-of-00006.safetensors",
29
+ "model.layers.1.self_attn.q_proj.weight": "model-00001-of-00006.safetensors",
30
+ "model.layers.1.self_attn.v_proj.bias": "model-00001-of-00006.safetensors",
31
+ "model.layers.1.self_attn.v_proj.weight": "model-00001-of-00006.safetensors",
32
+ "model.layers.10.input_layernorm.weight": "model-00002-of-00006.safetensors",
33
+ "model.layers.10.mlp.down_proj.weight": "model-00002-of-00006.safetensors",
34
+ "model.layers.10.mlp.gate_proj.weight": "model-00002-of-00006.safetensors",
35
+ "model.layers.10.mlp.up_proj.weight": "model-00002-of-00006.safetensors",
36
+ "model.layers.10.post_attention_layernorm.weight": "model-00002-of-00006.safetensors",
37
+ "model.layers.10.self_attn.k_proj.bias": "model-00002-of-00006.safetensors",
38
+ "model.layers.10.self_attn.k_proj.weight": "model-00002-of-00006.safetensors",
39
+ "model.layers.10.self_attn.o_proj.weight": "model-00002-of-00006.safetensors",
40
+ "model.layers.10.self_attn.q_proj.bias": "model-00002-of-00006.safetensors",
41
+ "model.layers.10.self_attn.q_proj.weight": "model-00002-of-00006.safetensors",
42
+ "model.layers.10.self_attn.v_proj.bias": "model-00002-of-00006.safetensors",
43
+ "model.layers.10.self_attn.v_proj.weight": "model-00002-of-00006.safetensors",
44
+ "model.layers.11.input_layernorm.weight": "model-00002-of-00006.safetensors",
45
+ "model.layers.11.mlp.down_proj.weight": "model-00002-of-00006.safetensors",
46
+ "model.layers.11.mlp.gate_proj.weight": "model-00002-of-00006.safetensors",
47
+ "model.layers.11.mlp.up_proj.weight": "model-00002-of-00006.safetensors",
48
+ "model.layers.11.post_attention_layernorm.weight": "model-00002-of-00006.safetensors",
49
+ "model.layers.11.self_attn.k_proj.bias": "model-00002-of-00006.safetensors",
50
+ "model.layers.11.self_attn.k_proj.weight": "model-00002-of-00006.safetensors",
51
+ "model.layers.11.self_attn.o_proj.weight": "model-00002-of-00006.safetensors",
52
+ "model.layers.11.self_attn.q_proj.bias": "model-00002-of-00006.safetensors",
53
+ "model.layers.11.self_attn.q_proj.weight": "model-00002-of-00006.safetensors",
54
+ "model.layers.11.self_attn.v_proj.bias": "model-00002-of-00006.safetensors",
55
+ "model.layers.11.self_attn.v_proj.weight": "model-00002-of-00006.safetensors",
56
+ "model.layers.12.input_layernorm.weight": "model-00002-of-00006.safetensors",
57
+ "model.layers.12.mlp.down_proj.weight": "model-00002-of-00006.safetensors",
58
+ "model.layers.12.mlp.gate_proj.weight": "model-00002-of-00006.safetensors",
59
+ "model.layers.12.mlp.up_proj.weight": "model-00002-of-00006.safetensors",
60
+ "model.layers.12.post_attention_layernorm.weight": "model-00002-of-00006.safetensors",
61
+ "model.layers.12.self_attn.k_proj.bias": "model-00002-of-00006.safetensors",
62
+ "model.layers.12.self_attn.k_proj.weight": "model-00002-of-00006.safetensors",
63
+ "model.layers.12.self_attn.o_proj.weight": "model-00002-of-00006.safetensors",
64
+ "model.layers.12.self_attn.q_proj.bias": "model-00002-of-00006.safetensors",
65
+ "model.layers.12.self_attn.q_proj.weight": "model-00002-of-00006.safetensors",
66
+ "model.layers.12.self_attn.v_proj.bias": "model-00002-of-00006.safetensors",
67
+ "model.layers.12.self_attn.v_proj.weight": "model-00002-of-00006.safetensors",
68
+ "model.layers.13.input_layernorm.weight": "model-00002-of-00006.safetensors",
69
+ "model.layers.13.mlp.down_proj.weight": "model-00002-of-00006.safetensors",
70
+ "model.layers.13.mlp.gate_proj.weight": "model-00002-of-00006.safetensors",
71
+ "model.layers.13.mlp.up_proj.weight": "model-00002-of-00006.safetensors",
72
+ "model.layers.13.post_attention_layernorm.weight": "model-00002-of-00006.safetensors",
73
+ "model.layers.13.self_attn.k_proj.bias": "model-00002-of-00006.safetensors",
74
+ "model.layers.13.self_attn.k_proj.weight": "model-00002-of-00006.safetensors",
75
+ "model.layers.13.self_attn.o_proj.weight": "model-00002-of-00006.safetensors",
76
+ "model.layers.13.self_attn.q_proj.bias": "model-00002-of-00006.safetensors",
77
+ "model.layers.13.self_attn.q_proj.weight": "model-00002-of-00006.safetensors",
78
+ "model.layers.13.self_attn.v_proj.bias": "model-00002-of-00006.safetensors",
79
+ "model.layers.13.self_attn.v_proj.weight": "model-00002-of-00006.safetensors",
80
+ "model.layers.14.input_layernorm.weight": "model-00002-of-00006.safetensors",
81
+ "model.layers.14.mlp.down_proj.weight": "model-00002-of-00006.safetensors",
82
+ "model.layers.14.mlp.gate_proj.weight": "model-00002-of-00006.safetensors",
83
+ "model.layers.14.mlp.up_proj.weight": "model-00002-of-00006.safetensors",
84
+ "model.layers.14.post_attention_layernorm.weight": "model-00002-of-00006.safetensors",
85
+ "model.layers.14.self_attn.k_proj.bias": "model-00002-of-00006.safetensors",
86
+ "model.layers.14.self_attn.k_proj.weight": "model-00002-of-00006.safetensors",
87
+ "model.layers.14.self_attn.o_proj.weight": "model-00002-of-00006.safetensors",
88
+ "model.layers.14.self_attn.q_proj.bias": "model-00002-of-00006.safetensors",
89
+ "model.layers.14.self_attn.q_proj.weight": "model-00002-of-00006.safetensors",
90
+ "model.layers.14.self_attn.v_proj.bias": "model-00002-of-00006.safetensors",
91
+ "model.layers.14.self_attn.v_proj.weight": "model-00002-of-00006.safetensors",
92
+ "model.layers.15.input_layernorm.weight": "model-00003-of-00006.safetensors",
93
+ "model.layers.15.mlp.down_proj.weight": "model-00003-of-00006.safetensors",
94
+ "model.layers.15.mlp.gate_proj.weight": "model-00003-of-00006.safetensors",
95
+ "model.layers.15.mlp.up_proj.weight": "model-00003-of-00006.safetensors",
96
+ "model.layers.15.post_attention_layernorm.weight": "model-00003-of-00006.safetensors",
97
+ "model.layers.15.self_attn.k_proj.bias": "model-00002-of-00006.safetensors",
98
+ "model.layers.15.self_attn.k_proj.weight": "model-00002-of-00006.safetensors",
99
+ "model.layers.15.self_attn.o_proj.weight": "model-00002-of-00006.safetensors",
100
+ "model.layers.15.self_attn.q_proj.bias": "model-00002-of-00006.safetensors",
101
+ "model.layers.15.self_attn.q_proj.weight": "model-00002-of-00006.safetensors",
102
+ "model.layers.15.self_attn.v_proj.bias": "model-00002-of-00006.safetensors",
103
+ "model.layers.15.self_attn.v_proj.weight": "model-00002-of-00006.safetensors",
104
+ "model.layers.16.input_layernorm.weight": "model-00003-of-00006.safetensors",
105
+ "model.layers.16.mlp.down_proj.weight": "model-00003-of-00006.safetensors",
106
+ "model.layers.16.mlp.gate_proj.weight": "model-00003-of-00006.safetensors",
107
+ "model.layers.16.mlp.up_proj.weight": "model-00003-of-00006.safetensors",
108
+ "model.layers.16.post_attention_layernorm.weight": "model-00003-of-00006.safetensors",
109
+ "model.layers.16.self_attn.k_proj.bias": "model-00003-of-00006.safetensors",
110
+ "model.layers.16.self_attn.k_proj.weight": "model-00003-of-00006.safetensors",
111
+ "model.layers.16.self_attn.o_proj.weight": "model-00003-of-00006.safetensors",
112
+ "model.layers.16.self_attn.q_proj.bias": "model-00003-of-00006.safetensors",
113
+ "model.layers.16.self_attn.q_proj.weight": "model-00003-of-00006.safetensors",
114
+ "model.layers.16.self_attn.v_proj.bias": "model-00003-of-00006.safetensors",
115
+ "model.layers.16.self_attn.v_proj.weight": "model-00003-of-00006.safetensors",
116
+ "model.layers.17.input_layernorm.weight": "model-00003-of-00006.safetensors",
117
+ "model.layers.17.mlp.down_proj.weight": "model-00003-of-00006.safetensors",
118
+ "model.layers.17.mlp.gate_proj.weight": "model-00003-of-00006.safetensors",
119
+ "model.layers.17.mlp.up_proj.weight": "model-00003-of-00006.safetensors",
120
+ "model.layers.17.post_attention_layernorm.weight": "model-00003-of-00006.safetensors",
121
+ "model.layers.17.self_attn.k_proj.bias": "model-00003-of-00006.safetensors",
122
+ "model.layers.17.self_attn.k_proj.weight": "model-00003-of-00006.safetensors",
123
+ "model.layers.17.self_attn.o_proj.weight": "model-00003-of-00006.safetensors",
124
+ "model.layers.17.self_attn.q_proj.bias": "model-00003-of-00006.safetensors",
125
+ "model.layers.17.self_attn.q_proj.weight": "model-00003-of-00006.safetensors",
126
+ "model.layers.17.self_attn.v_proj.bias": "model-00003-of-00006.safetensors",
127
+ "model.layers.17.self_attn.v_proj.weight": "model-00003-of-00006.safetensors",
128
+ "model.layers.18.input_layernorm.weight": "model-00003-of-00006.safetensors",
129
+ "model.layers.18.mlp.down_proj.weight": "model-00003-of-00006.safetensors",
130
+ "model.layers.18.mlp.gate_proj.weight": "model-00003-of-00006.safetensors",
131
+ "model.layers.18.mlp.up_proj.weight": "model-00003-of-00006.safetensors",
132
+ "model.layers.18.post_attention_layernorm.weight": "model-00003-of-00006.safetensors",
133
+ "model.layers.18.self_attn.k_proj.bias": "model-00003-of-00006.safetensors",
134
+ "model.layers.18.self_attn.k_proj.weight": "model-00003-of-00006.safetensors",
135
+ "model.layers.18.self_attn.o_proj.weight": "model-00003-of-00006.safetensors",
136
+ "model.layers.18.self_attn.q_proj.bias": "model-00003-of-00006.safetensors",
137
+ "model.layers.18.self_attn.q_proj.weight": "model-00003-of-00006.safetensors",
138
+ "model.layers.18.self_attn.v_proj.bias": "model-00003-of-00006.safetensors",
139
+ "model.layers.18.self_attn.v_proj.weight": "model-00003-of-00006.safetensors",
140
+ "model.layers.19.input_layernorm.weight": "model-00003-of-00006.safetensors",
141
+ "model.layers.19.mlp.down_proj.weight": "model-00003-of-00006.safetensors",
142
+ "model.layers.19.mlp.gate_proj.weight": "model-00003-of-00006.safetensors",
143
+ "model.layers.19.mlp.up_proj.weight": "model-00003-of-00006.safetensors",
144
+ "model.layers.19.post_attention_layernorm.weight": "model-00003-of-00006.safetensors",
145
+ "model.layers.19.self_attn.k_proj.bias": "model-00003-of-00006.safetensors",
146
+ "model.layers.19.self_attn.k_proj.weight": "model-00003-of-00006.safetensors",
147
+ "model.layers.19.self_attn.o_proj.weight": "model-00003-of-00006.safetensors",
148
+ "model.layers.19.self_attn.q_proj.bias": "model-00003-of-00006.safetensors",
149
+ "model.layers.19.self_attn.q_proj.weight": "model-00003-of-00006.safetensors",
150
+ "model.layers.19.self_attn.v_proj.bias": "model-00003-of-00006.safetensors",
151
+ "model.layers.19.self_attn.v_proj.weight": "model-00003-of-00006.safetensors",
152
+ "model.layers.2.input_layernorm.weight": "model-00001-of-00006.safetensors",
153
+ "model.layers.2.mlp.down_proj.weight": "model-00001-of-00006.safetensors",
154
+ "model.layers.2.mlp.gate_proj.weight": "model-00001-of-00006.safetensors",
155
+ "model.layers.2.mlp.up_proj.weight": "model-00001-of-00006.safetensors",
156
+ "model.layers.2.post_attention_layernorm.weight": "model-00001-of-00006.safetensors",
157
+ "model.layers.2.self_attn.k_proj.bias": "model-00001-of-00006.safetensors",
158
+ "model.layers.2.self_attn.k_proj.weight": "model-00001-of-00006.safetensors",
159
+ "model.layers.2.self_attn.o_proj.weight": "model-00001-of-00006.safetensors",
160
+ "model.layers.2.self_attn.q_proj.bias": "model-00001-of-00006.safetensors",
161
+ "model.layers.2.self_attn.q_proj.weight": "model-00001-of-00006.safetensors",
162
+ "model.layers.2.self_attn.v_proj.bias": "model-00001-of-00006.safetensors",
163
+ "model.layers.2.self_attn.v_proj.weight": "model-00001-of-00006.safetensors",
164
+ "model.layers.20.input_layernorm.weight": "model-00003-of-00006.safetensors",
165
+ "model.layers.20.mlp.down_proj.weight": "model-00003-of-00006.safetensors",
166
+ "model.layers.20.mlp.gate_proj.weight": "model-00003-of-00006.safetensors",
167
+ "model.layers.20.mlp.up_proj.weight": "model-00003-of-00006.safetensors",
168
+ "model.layers.20.post_attention_layernorm.weight": "model-00003-of-00006.safetensors",
169
+ "model.layers.20.self_attn.k_proj.bias": "model-00003-of-00006.safetensors",
170
+ "model.layers.20.self_attn.k_proj.weight": "model-00003-of-00006.safetensors",
171
+ "model.layers.20.self_attn.o_proj.weight": "model-00003-of-00006.safetensors",
172
+ "model.layers.20.self_attn.q_proj.bias": "model-00003-of-00006.safetensors",
173
+ "model.layers.20.self_attn.q_proj.weight": "model-00003-of-00006.safetensors",
174
+ "model.layers.20.self_attn.v_proj.bias": "model-00003-of-00006.safetensors",
175
+ "model.layers.20.self_attn.v_proj.weight": "model-00003-of-00006.safetensors",
176
+ "model.layers.21.input_layernorm.weight": "model-00003-of-00006.safetensors",
177
+ "model.layers.21.mlp.down_proj.weight": "model-00003-of-00006.safetensors",
178
+ "model.layers.21.mlp.gate_proj.weight": "model-00003-of-00006.safetensors",
179
+ "model.layers.21.mlp.up_proj.weight": "model-00003-of-00006.safetensors",
180
+ "model.layers.21.post_attention_layernorm.weight": "model-00003-of-00006.safetensors",
181
+ "model.layers.21.self_attn.k_proj.bias": "model-00003-of-00006.safetensors",
182
+ "model.layers.21.self_attn.k_proj.weight": "model-00003-of-00006.safetensors",
183
+ "model.layers.21.self_attn.o_proj.weight": "model-00003-of-00006.safetensors",
184
+ "model.layers.21.self_attn.q_proj.bias": "model-00003-of-00006.safetensors",
185
+ "model.layers.21.self_attn.q_proj.weight": "model-00003-of-00006.safetensors",
186
+ "model.layers.21.self_attn.v_proj.bias": "model-00003-of-00006.safetensors",
187
+ "model.layers.21.self_attn.v_proj.weight": "model-00003-of-00006.safetensors",
188
+ "model.layers.22.input_layernorm.weight": "model-00003-of-00006.safetensors",
189
+ "model.layers.22.mlp.down_proj.weight": "model-00003-of-00006.safetensors",
190
+ "model.layers.22.mlp.gate_proj.weight": "model-00003-of-00006.safetensors",
191
+ "model.layers.22.mlp.up_proj.weight": "model-00003-of-00006.safetensors",
192
+ "model.layers.22.post_attention_layernorm.weight": "model-00003-of-00006.safetensors",
193
+ "model.layers.22.self_attn.k_proj.bias": "model-00003-of-00006.safetensors",
194
+ "model.layers.22.self_attn.k_proj.weight": "model-00003-of-00006.safetensors",
195
+ "model.layers.22.self_attn.o_proj.weight": "model-00003-of-00006.safetensors",
196
+ "model.layers.22.self_attn.q_proj.bias": "model-00003-of-00006.safetensors",
197
+ "model.layers.22.self_attn.q_proj.weight": "model-00003-of-00006.safetensors",
198
+ "model.layers.22.self_attn.v_proj.bias": "model-00003-of-00006.safetensors",
199
+ "model.layers.22.self_attn.v_proj.weight": "model-00003-of-00006.safetensors",
200
+ "model.layers.23.input_layernorm.weight": "model-00003-of-00006.safetensors",
201
+ "model.layers.23.mlp.down_proj.weight": "model-00003-of-00006.safetensors",
202
+ "model.layers.23.mlp.gate_proj.weight": "model-00003-of-00006.safetensors",
203
+ "model.layers.23.mlp.up_proj.weight": "model-00003-of-00006.safetensors",
204
+ "model.layers.23.post_attention_layernorm.weight": "model-00003-of-00006.safetensors",
205
+ "model.layers.23.self_attn.k_proj.bias": "model-00003-of-00006.safetensors",
206
+ "model.layers.23.self_attn.k_proj.weight": "model-00003-of-00006.safetensors",
207
+ "model.layers.23.self_attn.o_proj.weight": "model-00003-of-00006.safetensors",
208
+ "model.layers.23.self_attn.q_proj.bias": "model-00003-of-00006.safetensors",
209
+ "model.layers.23.self_attn.q_proj.weight": "model-00003-of-00006.safetensors",
210
+ "model.layers.23.self_attn.v_proj.bias": "model-00003-of-00006.safetensors",
211
+ "model.layers.23.self_attn.v_proj.weight": "model-00003-of-00006.safetensors",
212
+ "model.layers.24.input_layernorm.weight": "model-00004-of-00006.safetensors",
213
+ "model.layers.24.mlp.down_proj.weight": "model-00004-of-00006.safetensors",
214
+ "model.layers.24.mlp.gate_proj.weight": "model-00004-of-00006.safetensors",
215
+ "model.layers.24.mlp.up_proj.weight": "model-00004-of-00006.safetensors",
216
+ "model.layers.24.post_attention_layernorm.weight": "model-00004-of-00006.safetensors",
217
+ "model.layers.24.self_attn.k_proj.bias": "model-00003-of-00006.safetensors",
218
+ "model.layers.24.self_attn.k_proj.weight": "model-00003-of-00006.safetensors",
219
+ "model.layers.24.self_attn.o_proj.weight": "model-00003-of-00006.safetensors",
220
+ "model.layers.24.self_attn.q_proj.bias": "model-00003-of-00006.safetensors",
221
+ "model.layers.24.self_attn.q_proj.weight": "model-00003-of-00006.safetensors",
222
+ "model.layers.24.self_attn.v_proj.bias": "model-00003-of-00006.safetensors",
223
+ "model.layers.24.self_attn.v_proj.weight": "model-00003-of-00006.safetensors",
224
+ "model.layers.25.input_layernorm.weight": "model-00004-of-00006.safetensors",
225
+ "model.layers.25.mlp.down_proj.weight": "model-00004-of-00006.safetensors",
226
+ "model.layers.25.mlp.gate_proj.weight": "model-00004-of-00006.safetensors",
227
+ "model.layers.25.mlp.up_proj.weight": "model-00004-of-00006.safetensors",
228
+ "model.layers.25.post_attention_layernorm.weight": "model-00004-of-00006.safetensors",
229
+ "model.layers.25.self_attn.k_proj.bias": "model-00004-of-00006.safetensors",
230
+ "model.layers.25.self_attn.k_proj.weight": "model-00004-of-00006.safetensors",
231
+ "model.layers.25.self_attn.o_proj.weight": "model-00004-of-00006.safetensors",
232
+ "model.layers.25.self_attn.q_proj.bias": "model-00004-of-00006.safetensors",
233
+ "model.layers.25.self_attn.q_proj.weight": "model-00004-of-00006.safetensors",
234
+ "model.layers.25.self_attn.v_proj.bias": "model-00004-of-00006.safetensors",
235
+ "model.layers.25.self_attn.v_proj.weight": "model-00004-of-00006.safetensors",
236
+ "model.layers.26.input_layernorm.weight": "model-00004-of-00006.safetensors",
237
+ "model.layers.26.mlp.down_proj.weight": "model-00004-of-00006.safetensors",
238
+ "model.layers.26.mlp.gate_proj.weight": "model-00004-of-00006.safetensors",
239
+ "model.layers.26.mlp.up_proj.weight": "model-00004-of-00006.safetensors",
240
+ "model.layers.26.post_attention_layernorm.weight": "model-00004-of-00006.safetensors",
241
+ "model.layers.26.self_attn.k_proj.bias": "model-00004-of-00006.safetensors",
242
+ "model.layers.26.self_attn.k_proj.weight": "model-00004-of-00006.safetensors",
243
+ "model.layers.26.self_attn.o_proj.weight": "model-00004-of-00006.safetensors",
244
+ "model.layers.26.self_attn.q_proj.bias": "model-00004-of-00006.safetensors",
245
+ "model.layers.26.self_attn.q_proj.weight": "model-00004-of-00006.safetensors",
246
+ "model.layers.26.self_attn.v_proj.bias": "model-00004-of-00006.safetensors",
247
+ "model.layers.26.self_attn.v_proj.weight": "model-00004-of-00006.safetensors",
248
+ "model.layers.27.input_layernorm.weight": "model-00004-of-00006.safetensors",
249
+ "model.layers.27.mlp.down_proj.weight": "model-00004-of-00006.safetensors",
250
+ "model.layers.27.mlp.gate_proj.weight": "model-00004-of-00006.safetensors",
251
+ "model.layers.27.mlp.up_proj.weight": "model-00004-of-00006.safetensors",
252
+ "model.layers.27.post_attention_layernorm.weight": "model-00004-of-00006.safetensors",
253
+ "model.layers.27.self_attn.k_proj.bias": "model-00004-of-00006.safetensors",
254
+ "model.layers.27.self_attn.k_proj.weight": "model-00004-of-00006.safetensors",
255
+ "model.layers.27.self_attn.o_proj.weight": "model-00004-of-00006.safetensors",
256
+ "model.layers.27.self_attn.q_proj.bias": "model-00004-of-00006.safetensors",
257
+ "model.layers.27.self_attn.q_proj.weight": "model-00004-of-00006.safetensors",
258
+ "model.layers.27.self_attn.v_proj.bias": "model-00004-of-00006.safetensors",
259
+ "model.layers.27.self_attn.v_proj.weight": "model-00004-of-00006.safetensors",
260
+ "model.layers.28.input_layernorm.weight": "model-00004-of-00006.safetensors",
261
+ "model.layers.28.mlp.down_proj.weight": "model-00004-of-00006.safetensors",
262
+ "model.layers.28.mlp.gate_proj.weight": "model-00004-of-00006.safetensors",
263
+ "model.layers.28.mlp.up_proj.weight": "model-00004-of-00006.safetensors",
264
+ "model.layers.28.post_attention_layernorm.weight": "model-00004-of-00006.safetensors",
265
+ "model.layers.28.self_attn.k_proj.bias": "model-00004-of-00006.safetensors",
266
+ "model.layers.28.self_attn.k_proj.weight": "model-00004-of-00006.safetensors",
267
+ "model.layers.28.self_attn.o_proj.weight": "model-00004-of-00006.safetensors",
268
+ "model.layers.28.self_attn.q_proj.bias": "model-00004-of-00006.safetensors",
269
+ "model.layers.28.self_attn.q_proj.weight": "model-00004-of-00006.safetensors",
270
+ "model.layers.28.self_attn.v_proj.bias": "model-00004-of-00006.safetensors",
271
+ "model.layers.28.self_attn.v_proj.weight": "model-00004-of-00006.safetensors",
272
+ "model.layers.29.input_layernorm.weight": "model-00004-of-00006.safetensors",
273
+ "model.layers.29.mlp.down_proj.weight": "model-00004-of-00006.safetensors",
274
+ "model.layers.29.mlp.gate_proj.weight": "model-00004-of-00006.safetensors",
275
+ "model.layers.29.mlp.up_proj.weight": "model-00004-of-00006.safetensors",
276
+ "model.layers.29.post_attention_layernorm.weight": "model-00004-of-00006.safetensors",
277
+ "model.layers.29.self_attn.k_proj.bias": "model-00004-of-00006.safetensors",
278
+ "model.layers.29.self_attn.k_proj.weight": "model-00004-of-00006.safetensors",
279
+ "model.layers.29.self_attn.o_proj.weight": "model-00004-of-00006.safetensors",
280
+ "model.layers.29.self_attn.q_proj.bias": "model-00004-of-00006.safetensors",
281
+ "model.layers.29.self_attn.q_proj.weight": "model-00004-of-00006.safetensors",
282
+ "model.layers.29.self_attn.v_proj.bias": "model-00004-of-00006.safetensors",
283
+ "model.layers.29.self_attn.v_proj.weight": "model-00004-of-00006.safetensors",
284
+ "model.layers.3.input_layernorm.weight": "model-00001-of-00006.safetensors",
285
+ "model.layers.3.mlp.down_proj.weight": "model-00001-of-00006.safetensors",
286
+ "model.layers.3.mlp.gate_proj.weight": "model-00001-of-00006.safetensors",
287
+ "model.layers.3.mlp.up_proj.weight": "model-00001-of-00006.safetensors",
288
+ "model.layers.3.post_attention_layernorm.weight": "model-00001-of-00006.safetensors",
289
+ "model.layers.3.self_attn.k_proj.bias": "model-00001-of-00006.safetensors",
290
+ "model.layers.3.self_attn.k_proj.weight": "model-00001-of-00006.safetensors",
291
+ "model.layers.3.self_attn.o_proj.weight": "model-00001-of-00006.safetensors",
292
+ "model.layers.3.self_attn.q_proj.bias": "model-00001-of-00006.safetensors",
293
+ "model.layers.3.self_attn.q_proj.weight": "model-00001-of-00006.safetensors",
294
+ "model.layers.3.self_attn.v_proj.bias": "model-00001-of-00006.safetensors",
295
+ "model.layers.3.self_attn.v_proj.weight": "model-00001-of-00006.safetensors",
296
+ "model.layers.30.input_layernorm.weight": "model-00004-of-00006.safetensors",
297
+ "model.layers.30.mlp.down_proj.weight": "model-00004-of-00006.safetensors",
298
+ "model.layers.30.mlp.gate_proj.weight": "model-00004-of-00006.safetensors",
299
+ "model.layers.30.mlp.up_proj.weight": "model-00004-of-00006.safetensors",
300
+ "model.layers.30.post_attention_layernorm.weight": "model-00004-of-00006.safetensors",
301
+ "model.layers.30.self_attn.k_proj.bias": "model-00004-of-00006.safetensors",
302
+ "model.layers.30.self_attn.k_proj.weight": "model-00004-of-00006.safetensors",
303
+ "model.layers.30.self_attn.o_proj.weight": "model-00004-of-00006.safetensors",
304
+ "model.layers.30.self_attn.q_proj.bias": "model-00004-of-00006.safetensors",
305
+ "model.layers.30.self_attn.q_proj.weight": "model-00004-of-00006.safetensors",
306
+ "model.layers.30.self_attn.v_proj.bias": "model-00004-of-00006.safetensors",
307
+ "model.layers.30.self_attn.v_proj.weight": "model-00004-of-00006.safetensors",
308
+ "model.layers.31.input_layernorm.weight": "model-00004-of-00006.safetensors",
309
+ "model.layers.31.mlp.down_proj.weight": "model-00004-of-00006.safetensors",
310
+ "model.layers.31.mlp.gate_proj.weight": "model-00004-of-00006.safetensors",
311
+ "model.layers.31.mlp.up_proj.weight": "model-00004-of-00006.safetensors",
312
+ "model.layers.31.post_attention_layernorm.weight": "model-00004-of-00006.safetensors",
313
+ "model.layers.31.self_attn.k_proj.bias": "model-00004-of-00006.safetensors",
314
+ "model.layers.31.self_attn.k_proj.weight": "model-00004-of-00006.safetensors",
315
+ "model.layers.31.self_attn.o_proj.weight": "model-00004-of-00006.safetensors",
316
+ "model.layers.31.self_attn.q_proj.bias": "model-00004-of-00006.safetensors",
317
+ "model.layers.31.self_attn.q_proj.weight": "model-00004-of-00006.safetensors",
318
+ "model.layers.31.self_attn.v_proj.bias": "model-00004-of-00006.safetensors",
319
+ "model.layers.31.self_attn.v_proj.weight": "model-00004-of-00006.safetensors",
320
+ "model.layers.32.input_layernorm.weight": "model-00004-of-00006.safetensors",
321
+ "model.layers.32.mlp.down_proj.weight": "model-00004-of-00006.safetensors",
322
+ "model.layers.32.mlp.gate_proj.weight": "model-00004-of-00006.safetensors",
323
+ "model.layers.32.mlp.up_proj.weight": "model-00004-of-00006.safetensors",
324
+ "model.layers.32.post_attention_layernorm.weight": "model-00004-of-00006.safetensors",
325
+ "model.layers.32.self_attn.k_proj.bias": "model-00004-of-00006.safetensors",
326
+ "model.layers.32.self_attn.k_proj.weight": "model-00004-of-00006.safetensors",
327
+ "model.layers.32.self_attn.o_proj.weight": "model-00004-of-00006.safetensors",
328
+ "model.layers.32.self_attn.q_proj.bias": "model-00004-of-00006.safetensors",
329
+ "model.layers.32.self_attn.q_proj.weight": "model-00004-of-00006.safetensors",
330
+ "model.layers.32.self_attn.v_proj.bias": "model-00004-of-00006.safetensors",
331
+ "model.layers.32.self_attn.v_proj.weight": "model-00004-of-00006.safetensors",
332
+ "model.layers.33.input_layernorm.weight": "model-00005-of-00006.safetensors",
333
+ "model.layers.33.mlp.down_proj.weight": "model-00005-of-00006.safetensors",
334
+ "model.layers.33.mlp.gate_proj.weight": "model-00005-of-00006.safetensors",
335
+ "model.layers.33.mlp.up_proj.weight": "model-00005-of-00006.safetensors",
336
+ "model.layers.33.post_attention_layernorm.weight": "model-00005-of-00006.safetensors",
337
+ "model.layers.33.self_attn.k_proj.bias": "model-00004-of-00006.safetensors",
338
+ "model.layers.33.self_attn.k_proj.weight": "model-00004-of-00006.safetensors",
339
+ "model.layers.33.self_attn.o_proj.weight": "model-00004-of-00006.safetensors",
340
+ "model.layers.33.self_attn.q_proj.bias": "model-00004-of-00006.safetensors",
341
+ "model.layers.33.self_attn.q_proj.weight": "model-00004-of-00006.safetensors",
342
+ "model.layers.33.self_attn.v_proj.bias": "model-00004-of-00006.safetensors",
343
+ "model.layers.33.self_attn.v_proj.weight": "model-00004-of-00006.safetensors",
344
+ "model.layers.34.input_layernorm.weight": "model-00005-of-00006.safetensors",
345
+ "model.layers.34.mlp.down_proj.weight": "model-00005-of-00006.safetensors",
346
+ "model.layers.34.mlp.gate_proj.weight": "model-00005-of-00006.safetensors",
347
+ "model.layers.34.mlp.up_proj.weight": "model-00005-of-00006.safetensors",
348
+ "model.layers.34.post_attention_layernorm.weight": "model-00005-of-00006.safetensors",
349
+ "model.layers.34.self_attn.k_proj.bias": "model-00005-of-00006.safetensors",
350
+ "model.layers.34.self_attn.k_proj.weight": "model-00005-of-00006.safetensors",
351
+ "model.layers.34.self_attn.o_proj.weight": "model-00005-of-00006.safetensors",
352
+ "model.layers.34.self_attn.q_proj.bias": "model-00005-of-00006.safetensors",
353
+ "model.layers.34.self_attn.q_proj.weight": "model-00005-of-00006.safetensors",
354
+ "model.layers.34.self_attn.v_proj.bias": "model-00005-of-00006.safetensors",
355
+ "model.layers.34.self_attn.v_proj.weight": "model-00005-of-00006.safetensors",
356
+ "model.layers.35.input_layernorm.weight": "model-00005-of-00006.safetensors",
357
+ "model.layers.35.mlp.down_proj.weight": "model-00005-of-00006.safetensors",
358
+ "model.layers.35.mlp.gate_proj.weight": "model-00005-of-00006.safetensors",
359
+ "model.layers.35.mlp.up_proj.weight": "model-00005-of-00006.safetensors",
360
+ "model.layers.35.post_attention_layernorm.weight": "model-00005-of-00006.safetensors",
361
+ "model.layers.35.self_attn.k_proj.bias": "model-00005-of-00006.safetensors",
362
+ "model.layers.35.self_attn.k_proj.weight": "model-00005-of-00006.safetensors",
363
+ "model.layers.35.self_attn.o_proj.weight": "model-00005-of-00006.safetensors",
364
+ "model.layers.35.self_attn.q_proj.bias": "model-00005-of-00006.safetensors",
365
+ "model.layers.35.self_attn.q_proj.weight": "model-00005-of-00006.safetensors",
366
+ "model.layers.35.self_attn.v_proj.bias": "model-00005-of-00006.safetensors",
367
+ "model.layers.35.self_attn.v_proj.weight": "model-00005-of-00006.safetensors",
368
+ "model.layers.36.input_layernorm.weight": "model-00005-of-00006.safetensors",
369
+ "model.layers.36.mlp.down_proj.weight": "model-00005-of-00006.safetensors",
370
+ "model.layers.36.mlp.gate_proj.weight": "model-00005-of-00006.safetensors",
371
+ "model.layers.36.mlp.up_proj.weight": "model-00005-of-00006.safetensors",
372
+ "model.layers.36.post_attention_layernorm.weight": "model-00005-of-00006.safetensors",
373
+ "model.layers.36.self_attn.k_proj.bias": "model-00005-of-00006.safetensors",
374
+ "model.layers.36.self_attn.k_proj.weight": "model-00005-of-00006.safetensors",
375
+ "model.layers.36.self_attn.o_proj.weight": "model-00005-of-00006.safetensors",
376
+ "model.layers.36.self_attn.q_proj.bias": "model-00005-of-00006.safetensors",
377
+ "model.layers.36.self_attn.q_proj.weight": "model-00005-of-00006.safetensors",
378
+ "model.layers.36.self_attn.v_proj.bias": "model-00005-of-00006.safetensors",
379
+ "model.layers.36.self_attn.v_proj.weight": "model-00005-of-00006.safetensors",
380
+ "model.layers.37.input_layernorm.weight": "model-00005-of-00006.safetensors",
381
+ "model.layers.37.mlp.down_proj.weight": "model-00005-of-00006.safetensors",
382
+ "model.layers.37.mlp.gate_proj.weight": "model-00005-of-00006.safetensors",
383
+ "model.layers.37.mlp.up_proj.weight": "model-00005-of-00006.safetensors",
384
+ "model.layers.37.post_attention_layernorm.weight": "model-00005-of-00006.safetensors",
385
+ "model.layers.37.self_attn.k_proj.bias": "model-00005-of-00006.safetensors",
386
+ "model.layers.37.self_attn.k_proj.weight": "model-00005-of-00006.safetensors",
387
+ "model.layers.37.self_attn.o_proj.weight": "model-00005-of-00006.safetensors",
388
+ "model.layers.37.self_attn.q_proj.bias": "model-00005-of-00006.safetensors",
389
+ "model.layers.37.self_attn.q_proj.weight": "model-00005-of-00006.safetensors",
390
+ "model.layers.37.self_attn.v_proj.bias": "model-00005-of-00006.safetensors",
391
+ "model.layers.37.self_attn.v_proj.weight": "model-00005-of-00006.safetensors",
392
+ "model.layers.38.input_layernorm.weight": "model-00005-of-00006.safetensors",
393
+ "model.layers.38.mlp.down_proj.weight": "model-00005-of-00006.safetensors",
394
+ "model.layers.38.mlp.gate_proj.weight": "model-00005-of-00006.safetensors",
395
+ "model.layers.38.mlp.up_proj.weight": "model-00005-of-00006.safetensors",
396
+ "model.layers.38.post_attention_layernorm.weight": "model-00005-of-00006.safetensors",
397
+ "model.layers.38.self_attn.k_proj.bias": "model-00005-of-00006.safetensors",
398
+ "model.layers.38.self_attn.k_proj.weight": "model-00005-of-00006.safetensors",
399
+ "model.layers.38.self_attn.o_proj.weight": "model-00005-of-00006.safetensors",
400
+ "model.layers.38.self_attn.q_proj.bias": "model-00005-of-00006.safetensors",
401
+ "model.layers.38.self_attn.q_proj.weight": "model-00005-of-00006.safetensors",
402
+ "model.layers.38.self_attn.v_proj.bias": "model-00005-of-00006.safetensors",
403
+ "model.layers.38.self_attn.v_proj.weight": "model-00005-of-00006.safetensors",
404
+ "model.layers.39.input_layernorm.weight": "model-00005-of-00006.safetensors",
405
+ "model.layers.39.mlp.down_proj.weight": "model-00005-of-00006.safetensors",
406
+ "model.layers.39.mlp.gate_proj.weight": "model-00005-of-00006.safetensors",
407
+ "model.layers.39.mlp.up_proj.weight": "model-00005-of-00006.safetensors",
408
+ "model.layers.39.post_attention_layernorm.weight": "model-00005-of-00006.safetensors",
409
+ "model.layers.39.self_attn.k_proj.bias": "model-00005-of-00006.safetensors",
410
+ "model.layers.39.self_attn.k_proj.weight": "model-00005-of-00006.safetensors",
411
+ "model.layers.39.self_attn.o_proj.weight": "model-00005-of-00006.safetensors",
412
+ "model.layers.39.self_attn.q_proj.bias": "model-00005-of-00006.safetensors",
413
+ "model.layers.39.self_attn.q_proj.weight": "model-00005-of-00006.safetensors",
414
+ "model.layers.39.self_attn.v_proj.bias": "model-00005-of-00006.safetensors",
415
+ "model.layers.39.self_attn.v_proj.weight": "model-00005-of-00006.safetensors",
416
+ "model.layers.4.input_layernorm.weight": "model-00001-of-00006.safetensors",
417
+ "model.layers.4.mlp.down_proj.weight": "model-00001-of-00006.safetensors",
418
+ "model.layers.4.mlp.gate_proj.weight": "model-00001-of-00006.safetensors",
419
+ "model.layers.4.mlp.up_proj.weight": "model-00001-of-00006.safetensors",
420
+ "model.layers.4.post_attention_layernorm.weight": "model-00001-of-00006.safetensors",
421
+ "model.layers.4.self_attn.k_proj.bias": "model-00001-of-00006.safetensors",
422
+ "model.layers.4.self_attn.k_proj.weight": "model-00001-of-00006.safetensors",
423
+ "model.layers.4.self_attn.o_proj.weight": "model-00001-of-00006.safetensors",
424
+ "model.layers.4.self_attn.q_proj.bias": "model-00001-of-00006.safetensors",
425
+ "model.layers.4.self_attn.q_proj.weight": "model-00001-of-00006.safetensors",
426
+ "model.layers.4.self_attn.v_proj.bias": "model-00001-of-00006.safetensors",
427
+ "model.layers.4.self_attn.v_proj.weight": "model-00001-of-00006.safetensors",
428
+ "model.layers.40.input_layernorm.weight": "model-00005-of-00006.safetensors",
429
+ "model.layers.40.mlp.down_proj.weight": "model-00005-of-00006.safetensors",
430
+ "model.layers.40.mlp.gate_proj.weight": "model-00005-of-00006.safetensors",
431
+ "model.layers.40.mlp.up_proj.weight": "model-00005-of-00006.safetensors",
432
+ "model.layers.40.post_attention_layernorm.weight": "model-00005-of-00006.safetensors",
433
+ "model.layers.40.self_attn.k_proj.bias": "model-00005-of-00006.safetensors",
434
+ "model.layers.40.self_attn.k_proj.weight": "model-00005-of-00006.safetensors",
435
+ "model.layers.40.self_attn.o_proj.weight": "model-00005-of-00006.safetensors",
436
+ "model.layers.40.self_attn.q_proj.bias": "model-00005-of-00006.safetensors",
437
+ "model.layers.40.self_attn.q_proj.weight": "model-00005-of-00006.safetensors",
438
+ "model.layers.40.self_attn.v_proj.bias": "model-00005-of-00006.safetensors",
439
+ "model.layers.40.self_attn.v_proj.weight": "model-00005-of-00006.safetensors",
440
+ "model.layers.41.input_layernorm.weight": "model-00005-of-00006.safetensors",
441
+ "model.layers.41.mlp.down_proj.weight": "model-00005-of-00006.safetensors",
442
+ "model.layers.41.mlp.gate_proj.weight": "model-00005-of-00006.safetensors",
443
+ "model.layers.41.mlp.up_proj.weight": "model-00005-of-00006.safetensors",
444
+ "model.layers.41.post_attention_layernorm.weight": "model-00005-of-00006.safetensors",
445
+ "model.layers.41.self_attn.k_proj.bias": "model-00005-of-00006.safetensors",
446
+ "model.layers.41.self_attn.k_proj.weight": "model-00005-of-00006.safetensors",
447
+ "model.layers.41.self_attn.o_proj.weight": "model-00005-of-00006.safetensors",
448
+ "model.layers.41.self_attn.q_proj.bias": "model-00005-of-00006.safetensors",
449
+ "model.layers.41.self_attn.q_proj.weight": "model-00005-of-00006.safetensors",
450
+ "model.layers.41.self_attn.v_proj.bias": "model-00005-of-00006.safetensors",
451
+ "model.layers.41.self_attn.v_proj.weight": "model-00005-of-00006.safetensors",
452
+ "model.layers.42.input_layernorm.weight": "model-00006-of-00006.safetensors",
453
+ "model.layers.42.mlp.down_proj.weight": "model-00006-of-00006.safetensors",
454
+ "model.layers.42.mlp.gate_proj.weight": "model-00006-of-00006.safetensors",
455
+ "model.layers.42.mlp.up_proj.weight": "model-00006-of-00006.safetensors",
456
+ "model.layers.42.post_attention_layernorm.weight": "model-00006-of-00006.safetensors",
457
+ "model.layers.42.self_attn.k_proj.bias": "model-00005-of-00006.safetensors",
458
+ "model.layers.42.self_attn.k_proj.weight": "model-00005-of-00006.safetensors",
459
+ "model.layers.42.self_attn.o_proj.weight": "model-00005-of-00006.safetensors",
460
+ "model.layers.42.self_attn.q_proj.bias": "model-00005-of-00006.safetensors",
461
+ "model.layers.42.self_attn.q_proj.weight": "model-00005-of-00006.safetensors",
462
+ "model.layers.42.self_attn.v_proj.bias": "model-00005-of-00006.safetensors",
463
+ "model.layers.42.self_attn.v_proj.weight": "model-00005-of-00006.safetensors",
464
+ "model.layers.43.input_layernorm.weight": "model-00006-of-00006.safetensors",
465
+ "model.layers.43.mlp.down_proj.weight": "model-00006-of-00006.safetensors",
466
+ "model.layers.43.mlp.gate_proj.weight": "model-00006-of-00006.safetensors",
467
+ "model.layers.43.mlp.up_proj.weight": "model-00006-of-00006.safetensors",
468
+ "model.layers.43.post_attention_layernorm.weight": "model-00006-of-00006.safetensors",
469
+ "model.layers.43.self_attn.k_proj.bias": "model-00006-of-00006.safetensors",
470
+ "model.layers.43.self_attn.k_proj.weight": "model-00006-of-00006.safetensors",
471
+ "model.layers.43.self_attn.o_proj.weight": "model-00006-of-00006.safetensors",
472
+ "model.layers.43.self_attn.q_proj.bias": "model-00006-of-00006.safetensors",
473
+ "model.layers.43.self_attn.q_proj.weight": "model-00006-of-00006.safetensors",
474
+ "model.layers.43.self_attn.v_proj.bias": "model-00006-of-00006.safetensors",
475
+ "model.layers.43.self_attn.v_proj.weight": "model-00006-of-00006.safetensors",
476
+ "model.layers.44.input_layernorm.weight": "model-00006-of-00006.safetensors",
477
+ "model.layers.44.mlp.down_proj.weight": "model-00006-of-00006.safetensors",
478
+ "model.layers.44.mlp.gate_proj.weight": "model-00006-of-00006.safetensors",
479
+ "model.layers.44.mlp.up_proj.weight": "model-00006-of-00006.safetensors",
480
+ "model.layers.44.post_attention_layernorm.weight": "model-00006-of-00006.safetensors",
481
+ "model.layers.44.self_attn.k_proj.bias": "model-00006-of-00006.safetensors",
482
+ "model.layers.44.self_attn.k_proj.weight": "model-00006-of-00006.safetensors",
483
+ "model.layers.44.self_attn.o_proj.weight": "model-00006-of-00006.safetensors",
484
+ "model.layers.44.self_attn.q_proj.bias": "model-00006-of-00006.safetensors",
485
+ "model.layers.44.self_attn.q_proj.weight": "model-00006-of-00006.safetensors",
486
+ "model.layers.44.self_attn.v_proj.bias": "model-00006-of-00006.safetensors",
487
+ "model.layers.44.self_attn.v_proj.weight": "model-00006-of-00006.safetensors",
488
+ "model.layers.45.input_layernorm.weight": "model-00006-of-00006.safetensors",
489
+ "model.layers.45.mlp.down_proj.weight": "model-00006-of-00006.safetensors",
490
+ "model.layers.45.mlp.gate_proj.weight": "model-00006-of-00006.safetensors",
491
+ "model.layers.45.mlp.up_proj.weight": "model-00006-of-00006.safetensors",
492
+ "model.layers.45.post_attention_layernorm.weight": "model-00006-of-00006.safetensors",
493
+ "model.layers.45.self_attn.k_proj.bias": "model-00006-of-00006.safetensors",
494
+ "model.layers.45.self_attn.k_proj.weight": "model-00006-of-00006.safetensors",
495
+ "model.layers.45.self_attn.o_proj.weight": "model-00006-of-00006.safetensors",
496
+ "model.layers.45.self_attn.q_proj.bias": "model-00006-of-00006.safetensors",
497
+ "model.layers.45.self_attn.q_proj.weight": "model-00006-of-00006.safetensors",
498
+ "model.layers.45.self_attn.v_proj.bias": "model-00006-of-00006.safetensors",
499
+ "model.layers.45.self_attn.v_proj.weight": "model-00006-of-00006.safetensors",
500
+ "model.layers.46.input_layernorm.weight": "model-00006-of-00006.safetensors",
501
+ "model.layers.46.mlp.down_proj.weight": "model-00006-of-00006.safetensors",
502
+ "model.layers.46.mlp.gate_proj.weight": "model-00006-of-00006.safetensors",
503
+ "model.layers.46.mlp.up_proj.weight": "model-00006-of-00006.safetensors",
504
+ "model.layers.46.post_attention_layernorm.weight": "model-00006-of-00006.safetensors",
505
+ "model.layers.46.self_attn.k_proj.bias": "model-00006-of-00006.safetensors",
506
+ "model.layers.46.self_attn.k_proj.weight": "model-00006-of-00006.safetensors",
507
+ "model.layers.46.self_attn.o_proj.weight": "model-00006-of-00006.safetensors",
508
+ "model.layers.46.self_attn.q_proj.bias": "model-00006-of-00006.safetensors",
509
+ "model.layers.46.self_attn.q_proj.weight": "model-00006-of-00006.safetensors",
510
+ "model.layers.46.self_attn.v_proj.bias": "model-00006-of-00006.safetensors",
511
+ "model.layers.46.self_attn.v_proj.weight": "model-00006-of-00006.safetensors",
512
+ "model.layers.47.input_layernorm.weight": "model-00006-of-00006.safetensors",
513
+ "model.layers.47.mlp.down_proj.weight": "model-00006-of-00006.safetensors",
514
+ "model.layers.47.mlp.gate_proj.weight": "model-00006-of-00006.safetensors",
515
+ "model.layers.47.mlp.up_proj.weight": "model-00006-of-00006.safetensors",
516
+ "model.layers.47.post_attention_layernorm.weight": "model-00006-of-00006.safetensors",
517
+ "model.layers.47.self_attn.k_proj.bias": "model-00006-of-00006.safetensors",
518
+ "model.layers.47.self_attn.k_proj.weight": "model-00006-of-00006.safetensors",
519
+ "model.layers.47.self_attn.o_proj.weight": "model-00006-of-00006.safetensors",
520
+ "model.layers.47.self_attn.q_proj.bias": "model-00006-of-00006.safetensors",
521
+ "model.layers.47.self_attn.q_proj.weight": "model-00006-of-00006.safetensors",
522
+ "model.layers.47.self_attn.v_proj.bias": "model-00006-of-00006.safetensors",
523
+ "model.layers.47.self_attn.v_proj.weight": "model-00006-of-00006.safetensors",
524
+ "model.layers.5.input_layernorm.weight": "model-00001-of-00006.safetensors",
525
+ "model.layers.5.mlp.down_proj.weight": "model-00001-of-00006.safetensors",
526
+ "model.layers.5.mlp.gate_proj.weight": "model-00001-of-00006.safetensors",
527
+ "model.layers.5.mlp.up_proj.weight": "model-00001-of-00006.safetensors",
528
+ "model.layers.5.post_attention_layernorm.weight": "model-00001-of-00006.safetensors",
529
+ "model.layers.5.self_attn.k_proj.bias": "model-00001-of-00006.safetensors",
530
+ "model.layers.5.self_attn.k_proj.weight": "model-00001-of-00006.safetensors",
531
+ "model.layers.5.self_attn.o_proj.weight": "model-00001-of-00006.safetensors",
532
+ "model.layers.5.self_attn.q_proj.bias": "model-00001-of-00006.safetensors",
533
+ "model.layers.5.self_attn.q_proj.weight": "model-00001-of-00006.safetensors",
534
+ "model.layers.5.self_attn.v_proj.bias": "model-00001-of-00006.safetensors",
535
+ "model.layers.5.self_attn.v_proj.weight": "model-00001-of-00006.safetensors",
536
+ "model.layers.6.input_layernorm.weight": "model-00002-of-00006.safetensors",
537
+ "model.layers.6.mlp.down_proj.weight": "model-00002-of-00006.safetensors",
538
+ "model.layers.6.mlp.gate_proj.weight": "model-00002-of-00006.safetensors",
539
+ "model.layers.6.mlp.up_proj.weight": "model-00002-of-00006.safetensors",
540
+ "model.layers.6.post_attention_layernorm.weight": "model-00002-of-00006.safetensors",
541
+ "model.layers.6.self_attn.k_proj.bias": "model-00001-of-00006.safetensors",
542
+ "model.layers.6.self_attn.k_proj.weight": "model-00001-of-00006.safetensors",
543
+ "model.layers.6.self_attn.o_proj.weight": "model-00001-of-00006.safetensors",
544
+ "model.layers.6.self_attn.q_proj.bias": "model-00001-of-00006.safetensors",
545
+ "model.layers.6.self_attn.q_proj.weight": "model-00001-of-00006.safetensors",
546
+ "model.layers.6.self_attn.v_proj.bias": "model-00001-of-00006.safetensors",
547
+ "model.layers.6.self_attn.v_proj.weight": "model-00001-of-00006.safetensors",
548
+ "model.layers.7.input_layernorm.weight": "model-00002-of-00006.safetensors",
549
+ "model.layers.7.mlp.down_proj.weight": "model-00002-of-00006.safetensors",
550
+ "model.layers.7.mlp.gate_proj.weight": "model-00002-of-00006.safetensors",
551
+ "model.layers.7.mlp.up_proj.weight": "model-00002-of-00006.safetensors",
552
+ "model.layers.7.post_attention_layernorm.weight": "model-00002-of-00006.safetensors",
553
+ "model.layers.7.self_attn.k_proj.bias": "model-00002-of-00006.safetensors",
554
+ "model.layers.7.self_attn.k_proj.weight": "model-00002-of-00006.safetensors",
555
+ "model.layers.7.self_attn.o_proj.weight": "model-00002-of-00006.safetensors",
556
+ "model.layers.7.self_attn.q_proj.bias": "model-00002-of-00006.safetensors",
557
+ "model.layers.7.self_attn.q_proj.weight": "model-00002-of-00006.safetensors",
558
+ "model.layers.7.self_attn.v_proj.bias": "model-00002-of-00006.safetensors",
559
+ "model.layers.7.self_attn.v_proj.weight": "model-00002-of-00006.safetensors",
560
+ "model.layers.8.input_layernorm.weight": "model-00002-of-00006.safetensors",
561
+ "model.layers.8.mlp.down_proj.weight": "model-00002-of-00006.safetensors",
562
+ "model.layers.8.mlp.gate_proj.weight": "model-00002-of-00006.safetensors",
563
+ "model.layers.8.mlp.up_proj.weight": "model-00002-of-00006.safetensors",
564
+ "model.layers.8.post_attention_layernorm.weight": "model-00002-of-00006.safetensors",
565
+ "model.layers.8.self_attn.k_proj.bias": "model-00002-of-00006.safetensors",
566
+ "model.layers.8.self_attn.k_proj.weight": "model-00002-of-00006.safetensors",
567
+ "model.layers.8.self_attn.o_proj.weight": "model-00002-of-00006.safetensors",
568
+ "model.layers.8.self_attn.q_proj.bias": "model-00002-of-00006.safetensors",
569
+ "model.layers.8.self_attn.q_proj.weight": "model-00002-of-00006.safetensors",
570
+ "model.layers.8.self_attn.v_proj.bias": "model-00002-of-00006.safetensors",
571
+ "model.layers.8.self_attn.v_proj.weight": "model-00002-of-00006.safetensors",
572
+ "model.layers.9.input_layernorm.weight": "model-00002-of-00006.safetensors",
573
+ "model.layers.9.mlp.down_proj.weight": "model-00002-of-00006.safetensors",
574
+ "model.layers.9.mlp.gate_proj.weight": "model-00002-of-00006.safetensors",
575
+ "model.layers.9.mlp.up_proj.weight": "model-00002-of-00006.safetensors",
576
+ "model.layers.9.post_attention_layernorm.weight": "model-00002-of-00006.safetensors",
577
+ "model.layers.9.self_attn.k_proj.bias": "model-00002-of-00006.safetensors",
578
+ "model.layers.9.self_attn.k_proj.weight": "model-00002-of-00006.safetensors",
579
+ "model.layers.9.self_attn.o_proj.weight": "model-00002-of-00006.safetensors",
580
+ "model.layers.9.self_attn.q_proj.bias": "model-00002-of-00006.safetensors",
581
+ "model.layers.9.self_attn.q_proj.weight": "model-00002-of-00006.safetensors",
582
+ "model.layers.9.self_attn.v_proj.bias": "model-00002-of-00006.safetensors",
583
+ "model.layers.9.self_attn.v_proj.weight": "model-00002-of-00006.safetensors",
584
+ "model.norm.weight": "model-00006-of-00006.safetensors"
585
+ }
586
+ }
special_tokens_map.json ADDED
@@ -0,0 +1,31 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "additional_special_tokens": [
3
+ "<|im_start|>",
4
+ "<|im_end|>",
5
+ "<|object_ref_start|>",
6
+ "<|object_ref_end|>",
7
+ "<|box_start|>",
8
+ "<|box_end|>",
9
+ "<|quad_start|>",
10
+ "<|quad_end|>",
11
+ "<|vision_start|>",
12
+ "<|vision_end|>",
13
+ "<|vision_pad|>",
14
+ "<|image_pad|>",
15
+ "<|video_pad|>"
16
+ ],
17
+ "eos_token": {
18
+ "content": "<|im_end|>",
19
+ "lstrip": false,
20
+ "normalized": false,
21
+ "rstrip": false,
22
+ "single_word": false
23
+ },
24
+ "pad_token": {
25
+ "content": "<|endoftext|>",
26
+ "lstrip": false,
27
+ "normalized": false,
28
+ "rstrip": false,
29
+ "single_word": false
30
+ }
31
+ }
tokenizer.json ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:9c5ae00e602b8860cbd784ba82a8aa14e8feecec692e7076590d014d7b7fdafa
3
+ size 11421896
tokenizer_config.json ADDED
@@ -0,0 +1,209 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "add_bos_token": false,
3
+ "add_prefix_space": false,
4
+ "added_tokens_decoder": {
5
+ "151643": {
6
+ "content": "<|endoftext|>",
7
+ "lstrip": false,
8
+ "normalized": false,
9
+ "rstrip": false,
10
+ "single_word": false,
11
+ "special": true
12
+ },
13
+ "151644": {
14
+ "content": "<|im_start|>",
15
+ "lstrip": false,
16
+ "normalized": false,
17
+ "rstrip": false,
18
+ "single_word": false,
19
+ "special": true
20
+ },
21
+ "151645": {
22
+ "content": "<|im_end|>",
23
+ "lstrip": false,
24
+ "normalized": false,
25
+ "rstrip": false,
26
+ "single_word": false,
27
+ "special": true
28
+ },
29
+ "151646": {
30
+ "content": "<|object_ref_start|>",
31
+ "lstrip": false,
32
+ "normalized": false,
33
+ "rstrip": false,
34
+ "single_word": false,
35
+ "special": true
36
+ },
37
+ "151647": {
38
+ "content": "<|object_ref_end|>",
39
+ "lstrip": false,
40
+ "normalized": false,
41
+ "rstrip": false,
42
+ "single_word": false,
43
+ "special": true
44
+ },
45
+ "151648": {
46
+ "content": "<|box_start|>",
47
+ "lstrip": false,
48
+ "normalized": false,
49
+ "rstrip": false,
50
+ "single_word": false,
51
+ "special": true
52
+ },
53
+ "151649": {
54
+ "content": "<|box_end|>",
55
+ "lstrip": false,
56
+ "normalized": false,
57
+ "rstrip": false,
58
+ "single_word": false,
59
+ "special": true
60
+ },
61
+ "151650": {
62
+ "content": "<|quad_start|>",
63
+ "lstrip": false,
64
+ "normalized": false,
65
+ "rstrip": false,
66
+ "single_word": false,
67
+ "special": true
68
+ },
69
+ "151651": {
70
+ "content": "<|quad_end|>",
71
+ "lstrip": false,
72
+ "normalized": false,
73
+ "rstrip": false,
74
+ "single_word": false,
75
+ "special": true
76
+ },
77
+ "151652": {
78
+ "content": "<|vision_start|>",
79
+ "lstrip": false,
80
+ "normalized": false,
81
+ "rstrip": false,
82
+ "single_word": false,
83
+ "special": true
84
+ },
85
+ "151653": {
86
+ "content": "<|vision_end|>",
87
+ "lstrip": false,
88
+ "normalized": false,
89
+ "rstrip": false,
90
+ "single_word": false,
91
+ "special": true
92
+ },
93
+ "151654": {
94
+ "content": "<|vision_pad|>",
95
+ "lstrip": false,
96
+ "normalized": false,
97
+ "rstrip": false,
98
+ "single_word": false,
99
+ "special": true
100
+ },
101
+ "151655": {
102
+ "content": "<|image_pad|>",
103
+ "lstrip": false,
104
+ "normalized": false,
105
+ "rstrip": false,
106
+ "single_word": false,
107
+ "special": true
108
+ },
109
+ "151656": {
110
+ "content": "<|video_pad|>",
111
+ "lstrip": false,
112
+ "normalized": false,
113
+ "rstrip": false,
114
+ "single_word": false,
115
+ "special": true
116
+ },
117
+ "151657": {
118
+ "content": "<tool_call>",
119
+ "lstrip": false,
120
+ "normalized": false,
121
+ "rstrip": false,
122
+ "single_word": false,
123
+ "special": false
124
+ },
125
+ "151658": {
126
+ "content": "</tool_call>",
127
+ "lstrip": false,
128
+ "normalized": false,
129
+ "rstrip": false,
130
+ "single_word": false,
131
+ "special": false
132
+ },
133
+ "151659": {
134
+ "content": "<|fim_prefix|>",
135
+ "lstrip": false,
136
+ "normalized": false,
137
+ "rstrip": false,
138
+ "single_word": false,
139
+ "special": false
140
+ },
141
+ "151660": {
142
+ "content": "<|fim_middle|>",
143
+ "lstrip": false,
144
+ "normalized": false,
145
+ "rstrip": false,
146
+ "single_word": false,
147
+ "special": false
148
+ },
149
+ "151661": {
150
+ "content": "<|fim_suffix|>",
151
+ "lstrip": false,
152
+ "normalized": false,
153
+ "rstrip": false,
154
+ "single_word": false,
155
+ "special": false
156
+ },
157
+ "151662": {
158
+ "content": "<|fim_pad|>",
159
+ "lstrip": false,
160
+ "normalized": false,
161
+ "rstrip": false,
162
+ "single_word": false,
163
+ "special": false
164
+ },
165
+ "151663": {
166
+ "content": "<|repo_name|>",
167
+ "lstrip": false,
168
+ "normalized": false,
169
+ "rstrip": false,
170
+ "single_word": false,
171
+ "special": false
172
+ },
173
+ "151664": {
174
+ "content": "<|file_sep|>",
175
+ "lstrip": false,
176
+ "normalized": false,
177
+ "rstrip": false,
178
+ "single_word": false,
179
+ "special": false
180
+ }
181
+ },
182
+ "additional_special_tokens": [
183
+ "<|im_start|>",
184
+ "<|im_end|>",
185
+ "<|object_ref_start|>",
186
+ "<|object_ref_end|>",
187
+ "<|box_start|>",
188
+ "<|box_end|>",
189
+ "<|quad_start|>",
190
+ "<|quad_end|>",
191
+ "<|vision_start|>",
192
+ "<|vision_end|>",
193
+ "<|vision_pad|>",
194
+ "<|image_pad|>",
195
+ "<|video_pad|>"
196
+ ],
197
+ "bos_token": null,
198
+ "chat_template": "{%- if tools %}\n {{- '<|im_start|>system\\n' }}\n {%- if messages[0]['role'] == 'system' %}\n {{- messages[0]['content'] }}\n {%- else %}\n {{- 'You are Qwen, created by Alibaba Cloud. You are a helpful assistant.' }}\n {%- endif %}\n {{- \"\\n\\n# Tools\\n\\nYou may call one or more functions to assist with the user query.\\n\\nYou are provided with function signatures within <tools></tools> XML tags:\\n<tools>\" }}\n {%- for tool in tools %}\n {{- \"\\n\" }}\n {{- tool | tojson }}\n {%- endfor %}\n {{- \"\\n</tools>\\n\\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\\n<tool_call>\\n{\\\"name\\\": <function-name>, \\\"arguments\\\": <args-json-object>}\\n</tool_call><|im_end|>\\n\" }}\n{%- else %}\n {%- if messages[0]['role'] == 'system' %}\n {{- '<|im_start|>system\\n' + messages[0]['content'] + '<|im_end|>\\n' }}\n {%- else %}\n {{- '<|im_start|>system\\nYou are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>\\n' }}\n {%- endif %}\n{%- endif %}\n{%- for message in messages %}\n {%- if (message.role == \"user\") or (message.role == \"system\" and not loop.first) or (message.role == \"assistant\" and not message.tool_calls) %}\n {{- '<|im_start|>' + message.role + '\\n' + message.content + '<|im_end|>' + '\\n' }}\n {%- elif message.role == \"assistant\" %}\n {{- '<|im_start|>' + message.role }}\n {%- if message.content %}\n {{- '\\n' + message.content }}\n {%- endif %}\n {%- for tool_call in message.tool_calls %}\n {%- if tool_call.function is defined %}\n {%- set tool_call = tool_call.function %}\n {%- endif %}\n {{- '\\n<tool_call>\\n{\"name\": \"' }}\n {{- tool_call.name }}\n {{- '\", \"arguments\": ' }}\n {{- tool_call.arguments | tojson }}\n {{- '}\\n</tool_call>' }}\n {%- endfor %}\n {{- '<|im_end|>\\n' }}\n {%- elif message.role == \"tool\" %}\n {%- if (loop.index0 == 0) or (messages[loop.index0 - 1].role != \"tool\") %}\n {{- '<|im_start|>user' }}\n {%- endif %}\n {{- '\\n<tool_response>\\n' }}\n {{- message.content }}\n {{- '\\n</tool_response>' }}\n {%- if loop.last or (messages[loop.index0 + 1].role != \"tool\") %}\n {{- '<|im_end|>\\n' }}\n {%- endif %}\n {%- endif %}\n{%- endfor %}\n{%- if add_generation_prompt %}\n {{- '<|im_start|>assistant\\n' }}\n{%- endif %}\n",
199
+ "clean_up_tokenization_spaces": false,
200
+ "eos_token": "<|im_end|>",
201
+ "errors": "replace",
202
+ "extra_special_tokens": {},
203
+ "model_max_length": 8192,
204
+ "pad_token": "<|endoftext|>",
205
+ "padding_side": "right",
206
+ "split_special_tokens": false,
207
+ "tokenizer_class": "Qwen2Tokenizer",
208
+ "unk_token": null
209
+ }
trainer_state.json ADDED
@@ -0,0 +1,1881 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": null,
3
+ "best_model_checkpoint": null,
4
+ "epoch": 2.9745042492917846,
5
+ "eval_steps": 500,
6
+ "global_step": 264,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.0113314447592068,
13
+ "grad_norm": 23.53424926746809,
14
+ "learning_rate": 3.7037037037037036e-07,
15
+ "loss": 1.4032,
16
+ "step": 1
17
+ },
18
+ {
19
+ "epoch": 0.0226628895184136,
20
+ "grad_norm": 23.298712049647957,
21
+ "learning_rate": 7.407407407407407e-07,
22
+ "loss": 1.4235,
23
+ "step": 2
24
+ },
25
+ {
26
+ "epoch": 0.0339943342776204,
27
+ "grad_norm": 25.15418991437702,
28
+ "learning_rate": 1.111111111111111e-06,
29
+ "loss": 1.3918,
30
+ "step": 3
31
+ },
32
+ {
33
+ "epoch": 0.0453257790368272,
34
+ "grad_norm": 23.513705846381587,
35
+ "learning_rate": 1.4814814814814815e-06,
36
+ "loss": 1.3583,
37
+ "step": 4
38
+ },
39
+ {
40
+ "epoch": 0.056657223796033995,
41
+ "grad_norm": 18.732779423937743,
42
+ "learning_rate": 1.8518518518518519e-06,
43
+ "loss": 1.2546,
44
+ "step": 5
45
+ },
46
+ {
47
+ "epoch": 0.0679886685552408,
48
+ "grad_norm": 19.557080948103327,
49
+ "learning_rate": 2.222222222222222e-06,
50
+ "loss": 1.2998,
51
+ "step": 6
52
+ },
53
+ {
54
+ "epoch": 0.07932011331444759,
55
+ "grad_norm": 10.724009151468064,
56
+ "learning_rate": 2.5925925925925925e-06,
57
+ "loss": 1.2226,
58
+ "step": 7
59
+ },
60
+ {
61
+ "epoch": 0.0906515580736544,
62
+ "grad_norm": 4.775800267490731,
63
+ "learning_rate": 2.962962962962963e-06,
64
+ "loss": 1.0559,
65
+ "step": 8
66
+ },
67
+ {
68
+ "epoch": 0.10198300283286119,
69
+ "grad_norm": 3.94648433253879,
70
+ "learning_rate": 3.3333333333333333e-06,
71
+ "loss": 1.0475,
72
+ "step": 9
73
+ },
74
+ {
75
+ "epoch": 0.11331444759206799,
76
+ "grad_norm": 3.2410802138408448,
77
+ "learning_rate": 3.7037037037037037e-06,
78
+ "loss": 0.9999,
79
+ "step": 10
80
+ },
81
+ {
82
+ "epoch": 0.12464589235127478,
83
+ "grad_norm": 3.409262196892178,
84
+ "learning_rate": 4.074074074074074e-06,
85
+ "loss": 0.9393,
86
+ "step": 11
87
+ },
88
+ {
89
+ "epoch": 0.1359773371104816,
90
+ "grad_norm": 2.7175044653926625,
91
+ "learning_rate": 4.444444444444444e-06,
92
+ "loss": 0.9487,
93
+ "step": 12
94
+ },
95
+ {
96
+ "epoch": 0.14730878186968838,
97
+ "grad_norm": 2.3048951821321078,
98
+ "learning_rate": 4.814814814814815e-06,
99
+ "loss": 0.9302,
100
+ "step": 13
101
+ },
102
+ {
103
+ "epoch": 0.15864022662889518,
104
+ "grad_norm": 2.172665075682734,
105
+ "learning_rate": 5.185185185185185e-06,
106
+ "loss": 0.9152,
107
+ "step": 14
108
+ },
109
+ {
110
+ "epoch": 0.16997167138810199,
111
+ "grad_norm": 2.1574147876066445,
112
+ "learning_rate": 5.555555555555557e-06,
113
+ "loss": 0.828,
114
+ "step": 15
115
+ },
116
+ {
117
+ "epoch": 0.1813031161473088,
118
+ "grad_norm": 2.097885575557383,
119
+ "learning_rate": 5.925925925925926e-06,
120
+ "loss": 0.8426,
121
+ "step": 16
122
+ },
123
+ {
124
+ "epoch": 0.19263456090651557,
125
+ "grad_norm": 1.7637510926108797,
126
+ "learning_rate": 6.296296296296297e-06,
127
+ "loss": 0.8096,
128
+ "step": 17
129
+ },
130
+ {
131
+ "epoch": 0.20396600566572237,
132
+ "grad_norm": 1.6562239272452715,
133
+ "learning_rate": 6.666666666666667e-06,
134
+ "loss": 0.838,
135
+ "step": 18
136
+ },
137
+ {
138
+ "epoch": 0.21529745042492918,
139
+ "grad_norm": 1.4205229302221682,
140
+ "learning_rate": 7.0370370370370375e-06,
141
+ "loss": 0.7763,
142
+ "step": 19
143
+ },
144
+ {
145
+ "epoch": 0.22662889518413598,
146
+ "grad_norm": 1.4262379616902559,
147
+ "learning_rate": 7.4074074074074075e-06,
148
+ "loss": 0.7698,
149
+ "step": 20
150
+ },
151
+ {
152
+ "epoch": 0.23796033994334279,
153
+ "grad_norm": 1.6494892959766825,
154
+ "learning_rate": 7.77777777777778e-06,
155
+ "loss": 0.7665,
156
+ "step": 21
157
+ },
158
+ {
159
+ "epoch": 0.24929178470254956,
160
+ "grad_norm": 1.4334685604983732,
161
+ "learning_rate": 8.148148148148148e-06,
162
+ "loss": 0.7822,
163
+ "step": 22
164
+ },
165
+ {
166
+ "epoch": 0.26062322946175637,
167
+ "grad_norm": 1.3849818905239097,
168
+ "learning_rate": 8.518518518518519e-06,
169
+ "loss": 0.7283,
170
+ "step": 23
171
+ },
172
+ {
173
+ "epoch": 0.2719546742209632,
174
+ "grad_norm": 1.341658865495544,
175
+ "learning_rate": 8.888888888888888e-06,
176
+ "loss": 0.6999,
177
+ "step": 24
178
+ },
179
+ {
180
+ "epoch": 0.28328611898017,
181
+ "grad_norm": 1.30493584130229,
182
+ "learning_rate": 9.25925925925926e-06,
183
+ "loss": 0.7367,
184
+ "step": 25
185
+ },
186
+ {
187
+ "epoch": 0.29461756373937675,
188
+ "grad_norm": 1.400982166207809,
189
+ "learning_rate": 9.62962962962963e-06,
190
+ "loss": 0.7212,
191
+ "step": 26
192
+ },
193
+ {
194
+ "epoch": 0.3059490084985836,
195
+ "grad_norm": 1.2376220091039114,
196
+ "learning_rate": 1e-05,
197
+ "loss": 0.7211,
198
+ "step": 27
199
+ },
200
+ {
201
+ "epoch": 0.31728045325779036,
202
+ "grad_norm": 1.3155466485701666,
203
+ "learning_rate": 9.999560724782173e-06,
204
+ "loss": 0.7194,
205
+ "step": 28
206
+ },
207
+ {
208
+ "epoch": 0.3286118980169972,
209
+ "grad_norm": 1.1452371029975463,
210
+ "learning_rate": 9.998242976313777e-06,
211
+ "loss": 0.7205,
212
+ "step": 29
213
+ },
214
+ {
215
+ "epoch": 0.33994334277620397,
216
+ "grad_norm": 1.166971440865611,
217
+ "learning_rate": 9.99604698613651e-06,
218
+ "loss": 0.7097,
219
+ "step": 30
220
+ },
221
+ {
222
+ "epoch": 0.35127478753541075,
223
+ "grad_norm": 1.3261901880488491,
224
+ "learning_rate": 9.992973140107998e-06,
225
+ "loss": 0.6974,
226
+ "step": 31
227
+ },
228
+ {
229
+ "epoch": 0.3626062322946176,
230
+ "grad_norm": 1.2464894375774034,
231
+ "learning_rate": 9.989021978333996e-06,
232
+ "loss": 0.7082,
233
+ "step": 32
234
+ },
235
+ {
236
+ "epoch": 0.37393767705382436,
237
+ "grad_norm": 1.1355726846388239,
238
+ "learning_rate": 9.98419419507348e-06,
239
+ "loss": 0.6734,
240
+ "step": 33
241
+ },
242
+ {
243
+ "epoch": 0.38526912181303113,
244
+ "grad_norm": 1.0490944265922426,
245
+ "learning_rate": 9.978490638616671e-06,
246
+ "loss": 0.6853,
247
+ "step": 34
248
+ },
249
+ {
250
+ "epoch": 0.39660056657223797,
251
+ "grad_norm": 1.2600398341735712,
252
+ "learning_rate": 9.971912311135967e-06,
253
+ "loss": 0.6703,
254
+ "step": 35
255
+ },
256
+ {
257
+ "epoch": 0.40793201133144474,
258
+ "grad_norm": 1.1344614916090783,
259
+ "learning_rate": 9.964460368509868e-06,
260
+ "loss": 0.6841,
261
+ "step": 36
262
+ },
263
+ {
264
+ "epoch": 0.4192634560906516,
265
+ "grad_norm": 1.1274773706270436,
266
+ "learning_rate": 9.956136120119858e-06,
267
+ "loss": 0.6817,
268
+ "step": 37
269
+ },
270
+ {
271
+ "epoch": 0.43059490084985835,
272
+ "grad_norm": 1.2113014190849545,
273
+ "learning_rate": 9.946941028620349e-06,
274
+ "loss": 0.6837,
275
+ "step": 38
276
+ },
277
+ {
278
+ "epoch": 0.44192634560906513,
279
+ "grad_norm": 1.172097274900492,
280
+ "learning_rate": 9.936876709681668e-06,
281
+ "loss": 0.6678,
282
+ "step": 39
283
+ },
284
+ {
285
+ "epoch": 0.45325779036827196,
286
+ "grad_norm": 1.2490078546533159,
287
+ "learning_rate": 9.925944931706174e-06,
288
+ "loss": 0.7413,
289
+ "step": 40
290
+ },
291
+ {
292
+ "epoch": 0.46458923512747874,
293
+ "grad_norm": 1.140086857717275,
294
+ "learning_rate": 9.914147615517527e-06,
295
+ "loss": 0.6778,
296
+ "step": 41
297
+ },
298
+ {
299
+ "epoch": 0.47592067988668557,
300
+ "grad_norm": 1.2223423143241732,
301
+ "learning_rate": 9.901486834023182e-06,
302
+ "loss": 0.7388,
303
+ "step": 42
304
+ },
305
+ {
306
+ "epoch": 0.48725212464589235,
307
+ "grad_norm": 1.2452223599483243,
308
+ "learning_rate": 9.887964811850159e-06,
309
+ "loss": 0.691,
310
+ "step": 43
311
+ },
312
+ {
313
+ "epoch": 0.4985835694050991,
314
+ "grad_norm": 1.1350515055455908,
315
+ "learning_rate": 9.873583924954152e-06,
316
+ "loss": 0.6593,
317
+ "step": 44
318
+ },
319
+ {
320
+ "epoch": 0.509915014164306,
321
+ "grad_norm": 1.0405719380983063,
322
+ "learning_rate": 9.85834670020205e-06,
323
+ "loss": 0.6351,
324
+ "step": 45
325
+ },
326
+ {
327
+ "epoch": 0.5212464589235127,
328
+ "grad_norm": 1.3303109757890985,
329
+ "learning_rate": 9.842255814927945e-06,
330
+ "loss": 0.6404,
331
+ "step": 46
332
+ },
333
+ {
334
+ "epoch": 0.5325779036827195,
335
+ "grad_norm": 1.1787017310861478,
336
+ "learning_rate": 9.825314096462686e-06,
337
+ "loss": 0.6858,
338
+ "step": 47
339
+ },
340
+ {
341
+ "epoch": 0.5439093484419264,
342
+ "grad_norm": 1.1028621034116284,
343
+ "learning_rate": 9.807524521637103e-06,
344
+ "loss": 0.6554,
345
+ "step": 48
346
+ },
347
+ {
348
+ "epoch": 0.5552407932011332,
349
+ "grad_norm": 1.0192876247663198,
350
+ "learning_rate": 9.78889021625894e-06,
351
+ "loss": 0.6581,
352
+ "step": 49
353
+ },
354
+ {
355
+ "epoch": 0.56657223796034,
356
+ "grad_norm": 1.0981773991994468,
357
+ "learning_rate": 9.769414454563614e-06,
358
+ "loss": 0.6873,
359
+ "step": 50
360
+ },
361
+ {
362
+ "epoch": 0.5779036827195467,
363
+ "grad_norm": 1.080964680948062,
364
+ "learning_rate": 9.749100658638914e-06,
365
+ "loss": 0.6313,
366
+ "step": 51
367
+ },
368
+ {
369
+ "epoch": 0.5892351274787535,
370
+ "grad_norm": 1.060635241593271,
371
+ "learning_rate": 9.72795239782369e-06,
372
+ "loss": 0.657,
373
+ "step": 52
374
+ },
375
+ {
376
+ "epoch": 0.6005665722379604,
377
+ "grad_norm": 1.1436681010237095,
378
+ "learning_rate": 9.705973388080694e-06,
379
+ "loss": 0.6521,
380
+ "step": 53
381
+ },
382
+ {
383
+ "epoch": 0.6118980169971672,
384
+ "grad_norm": 1.0838029458150678,
385
+ "learning_rate": 9.68316749134364e-06,
386
+ "loss": 0.6712,
387
+ "step": 54
388
+ },
389
+ {
390
+ "epoch": 0.623229461756374,
391
+ "grad_norm": 1.0579456798759823,
392
+ "learning_rate": 9.659538714838635e-06,
393
+ "loss": 0.6439,
394
+ "step": 55
395
+ },
396
+ {
397
+ "epoch": 0.6345609065155807,
398
+ "grad_norm": 1.000408593357701,
399
+ "learning_rate": 9.635091210380052e-06,
400
+ "loss": 0.6164,
401
+ "step": 56
402
+ },
403
+ {
404
+ "epoch": 0.6458923512747875,
405
+ "grad_norm": 1.0871122101771147,
406
+ "learning_rate": 9.609829273641034e-06,
407
+ "loss": 0.6561,
408
+ "step": 57
409
+ },
410
+ {
411
+ "epoch": 0.6572237960339944,
412
+ "grad_norm": 1.0392258903623652,
413
+ "learning_rate": 9.583757343398685e-06,
414
+ "loss": 0.6353,
415
+ "step": 58
416
+ },
417
+ {
418
+ "epoch": 0.6685552407932012,
419
+ "grad_norm": 1.0694855168162771,
420
+ "learning_rate": 9.55688000075414e-06,
421
+ "loss": 0.672,
422
+ "step": 59
423
+ },
424
+ {
425
+ "epoch": 0.6798866855524079,
426
+ "grad_norm": 1.0818048041242603,
427
+ "learning_rate": 9.529201968327618e-06,
428
+ "loss": 0.6649,
429
+ "step": 60
430
+ },
431
+ {
432
+ "epoch": 0.6912181303116147,
433
+ "grad_norm": 1.122154267801109,
434
+ "learning_rate": 9.500728109428603e-06,
435
+ "loss": 0.6338,
436
+ "step": 61
437
+ },
438
+ {
439
+ "epoch": 0.7025495750708215,
440
+ "grad_norm": 1.0115716268572774,
441
+ "learning_rate": 9.47146342720133e-06,
442
+ "loss": 0.6404,
443
+ "step": 62
444
+ },
445
+ {
446
+ "epoch": 0.7138810198300283,
447
+ "grad_norm": 1.060628179091387,
448
+ "learning_rate": 9.44141306374566e-06,
449
+ "loss": 0.6491,
450
+ "step": 63
451
+ },
452
+ {
453
+ "epoch": 0.7252124645892352,
454
+ "grad_norm": 1.0433876035374046,
455
+ "learning_rate": 9.410582299213574e-06,
456
+ "loss": 0.6131,
457
+ "step": 64
458
+ },
459
+ {
460
+ "epoch": 0.7365439093484419,
461
+ "grad_norm": 1.0724446453489962,
462
+ "learning_rate": 9.378976550881393e-06,
463
+ "loss": 0.645,
464
+ "step": 65
465
+ },
466
+ {
467
+ "epoch": 0.7478753541076487,
468
+ "grad_norm": 16.698318216158572,
469
+ "learning_rate": 9.346601372197914e-06,
470
+ "loss": 0.628,
471
+ "step": 66
472
+ },
473
+ {
474
+ "epoch": 0.7592067988668555,
475
+ "grad_norm": 1.088611623094774,
476
+ "learning_rate": 9.3134624518086e-06,
477
+ "loss": 0.651,
478
+ "step": 67
479
+ },
480
+ {
481
+ "epoch": 0.7705382436260623,
482
+ "grad_norm": 1.08573159288467,
483
+ "learning_rate": 9.279565612556043e-06,
484
+ "loss": 0.6913,
485
+ "step": 68
486
+ },
487
+ {
488
+ "epoch": 0.7818696883852692,
489
+ "grad_norm": 1.287771998076043,
490
+ "learning_rate": 9.244916810456822e-06,
491
+ "loss": 0.6167,
492
+ "step": 69
493
+ },
494
+ {
495
+ "epoch": 0.7932011331444759,
496
+ "grad_norm": 1.0734450115631073,
497
+ "learning_rate": 9.20952213365497e-06,
498
+ "loss": 0.6048,
499
+ "step": 70
500
+ },
501
+ {
502
+ "epoch": 0.8045325779036827,
503
+ "grad_norm": 1.041169203868327,
504
+ "learning_rate": 9.173387801352232e-06,
505
+ "loss": 0.622,
506
+ "step": 71
507
+ },
508
+ {
509
+ "epoch": 0.8158640226628895,
510
+ "grad_norm": 1.0441941562582049,
511
+ "learning_rate": 9.136520162715288e-06,
512
+ "loss": 0.636,
513
+ "step": 72
514
+ },
515
+ {
516
+ "epoch": 0.8271954674220963,
517
+ "grad_norm": 1.0266494367822185,
518
+ "learning_rate": 9.098925695760132e-06,
519
+ "loss": 0.641,
520
+ "step": 73
521
+ },
522
+ {
523
+ "epoch": 0.8385269121813032,
524
+ "grad_norm": 1.0525228370033899,
525
+ "learning_rate": 9.060611006213833e-06,
526
+ "loss": 0.605,
527
+ "step": 74
528
+ },
529
+ {
530
+ "epoch": 0.8498583569405099,
531
+ "grad_norm": 1.0169561500024211,
532
+ "learning_rate": 9.021582826353825e-06,
533
+ "loss": 0.6691,
534
+ "step": 75
535
+ },
536
+ {
537
+ "epoch": 0.8611898016997167,
538
+ "grad_norm": 1.0482739302531685,
539
+ "learning_rate": 8.981848013824995e-06,
540
+ "loss": 0.6658,
541
+ "step": 76
542
+ },
543
+ {
544
+ "epoch": 0.8725212464589235,
545
+ "grad_norm": 1.0794377750181379,
546
+ "learning_rate": 8.94141355043471e-06,
547
+ "loss": 0.6578,
548
+ "step": 77
549
+ },
550
+ {
551
+ "epoch": 0.8838526912181303,
552
+ "grad_norm": 1.0439742131558416,
553
+ "learning_rate": 8.900286540926062e-06,
554
+ "loss": 0.6138,
555
+ "step": 78
556
+ },
557
+ {
558
+ "epoch": 0.8951841359773371,
559
+ "grad_norm": 1.072198566934302,
560
+ "learning_rate": 8.85847421172947e-06,
561
+ "loss": 0.6313,
562
+ "step": 79
563
+ },
564
+ {
565
+ "epoch": 0.9065155807365439,
566
+ "grad_norm": 1.0570789500714661,
567
+ "learning_rate": 8.815983909692941e-06,
568
+ "loss": 0.611,
569
+ "step": 80
570
+ },
571
+ {
572
+ "epoch": 0.9178470254957507,
573
+ "grad_norm": 0.9747424186741095,
574
+ "learning_rate": 8.772823100791152e-06,
575
+ "loss": 0.6235,
576
+ "step": 81
577
+ },
578
+ {
579
+ "epoch": 0.9291784702549575,
580
+ "grad_norm": 0.9650403389286071,
581
+ "learning_rate": 8.728999368813591e-06,
582
+ "loss": 0.6289,
583
+ "step": 82
584
+ },
585
+ {
586
+ "epoch": 0.9405099150141643,
587
+ "grad_norm": 1.0608225953186365,
588
+ "learning_rate": 8.684520414032023e-06,
589
+ "loss": 0.6534,
590
+ "step": 83
591
+ },
592
+ {
593
+ "epoch": 0.9518413597733711,
594
+ "grad_norm": 1.0400599060401146,
595
+ "learning_rate": 8.639394051847472e-06,
596
+ "loss": 0.6351,
597
+ "step": 84
598
+ },
599
+ {
600
+ "epoch": 0.9631728045325779,
601
+ "grad_norm": 1.029029843151287,
602
+ "learning_rate": 8.593628211416964e-06,
603
+ "loss": 0.637,
604
+ "step": 85
605
+ },
606
+ {
607
+ "epoch": 0.9745042492917847,
608
+ "grad_norm": 0.9884213872615792,
609
+ "learning_rate": 8.547230934260313e-06,
610
+ "loss": 0.6414,
611
+ "step": 86
612
+ },
613
+ {
614
+ "epoch": 0.9858356940509915,
615
+ "grad_norm": 1.0448881569178157,
616
+ "learning_rate": 8.500210372847128e-06,
617
+ "loss": 0.6234,
618
+ "step": 87
619
+ },
620
+ {
621
+ "epoch": 0.9971671388101983,
622
+ "grad_norm": 1.0141851489732272,
623
+ "learning_rate": 8.452574789164352e-06,
624
+ "loss": 0.636,
625
+ "step": 88
626
+ },
627
+ {
628
+ "epoch": 1.0,
629
+ "grad_norm": 1.0141851489732272,
630
+ "learning_rate": 8.404332553264548e-06,
631
+ "loss": 0.6351,
632
+ "step": 89
633
+ },
634
+ {
635
+ "epoch": 1.0113314447592068,
636
+ "grad_norm": 2.0125074643954024,
637
+ "learning_rate": 8.355492141795185e-06,
638
+ "loss": 0.5146,
639
+ "step": 90
640
+ },
641
+ {
642
+ "epoch": 1.0226628895184136,
643
+ "grad_norm": 1.1306298266109818,
644
+ "learning_rate": 8.30606213650922e-06,
645
+ "loss": 0.497,
646
+ "step": 91
647
+ },
648
+ {
649
+ "epoch": 1.0339943342776203,
650
+ "grad_norm": 1.0714951468489908,
651
+ "learning_rate": 8.256051222757188e-06,
652
+ "loss": 0.4921,
653
+ "step": 92
654
+ },
655
+ {
656
+ "epoch": 1.045325779036827,
657
+ "grad_norm": 0.9830972246185706,
658
+ "learning_rate": 8.2054681879611e-06,
659
+ "loss": 0.4906,
660
+ "step": 93
661
+ },
662
+ {
663
+ "epoch": 1.056657223796034,
664
+ "grad_norm": 0.9632332800113752,
665
+ "learning_rate": 8.154321920070415e-06,
666
+ "loss": 0.4657,
667
+ "step": 94
668
+ },
669
+ {
670
+ "epoch": 1.0679886685552409,
671
+ "grad_norm": 1.193395200214797,
672
+ "learning_rate": 8.10262140600031e-06,
673
+ "loss": 0.4861,
674
+ "step": 95
675
+ },
676
+ {
677
+ "epoch": 1.0793201133144477,
678
+ "grad_norm": 1.28865060369019,
679
+ "learning_rate": 8.050375730052622e-06,
680
+ "loss": 0.5093,
681
+ "step": 96
682
+ },
683
+ {
684
+ "epoch": 1.0906515580736544,
685
+ "grad_norm": 1.247161113611643,
686
+ "learning_rate": 7.997594072319625e-06,
687
+ "loss": 0.504,
688
+ "step": 97
689
+ },
690
+ {
691
+ "epoch": 1.1019830028328612,
692
+ "grad_norm": 1.1321908951225559,
693
+ "learning_rate": 7.944285707070999e-06,
694
+ "loss": 0.514,
695
+ "step": 98
696
+ },
697
+ {
698
+ "epoch": 1.113314447592068,
699
+ "grad_norm": 1.097294675331813,
700
+ "learning_rate": 7.890460001124242e-06,
701
+ "loss": 0.5074,
702
+ "step": 99
703
+ },
704
+ {
705
+ "epoch": 1.1246458923512748,
706
+ "grad_norm": 1.1106766243842143,
707
+ "learning_rate": 7.836126412198842e-06,
708
+ "loss": 0.495,
709
+ "step": 100
710
+ },
711
+ {
712
+ "epoch": 1.1359773371104815,
713
+ "grad_norm": 1.0781028414115594,
714
+ "learning_rate": 7.781294487254436e-06,
715
+ "loss": 0.4917,
716
+ "step": 101
717
+ },
718
+ {
719
+ "epoch": 1.1473087818696883,
720
+ "grad_norm": 1.0597834799331805,
721
+ "learning_rate": 7.725973860813338e-06,
722
+ "loss": 0.4953,
723
+ "step": 102
724
+ },
725
+ {
726
+ "epoch": 1.158640226628895,
727
+ "grad_norm": 1.075317244066298,
728
+ "learning_rate": 7.67017425326764e-06,
729
+ "loss": 0.4985,
730
+ "step": 103
731
+ },
732
+ {
733
+ "epoch": 1.1699716713881019,
734
+ "grad_norm": 1.126814415152867,
735
+ "learning_rate": 7.613905469171247e-06,
736
+ "loss": 0.4869,
737
+ "step": 104
738
+ },
739
+ {
740
+ "epoch": 1.1813031161473089,
741
+ "grad_norm": 1.0228965180222989,
742
+ "learning_rate": 7.5571773955171124e-06,
743
+ "loss": 0.4956,
744
+ "step": 105
745
+ },
746
+ {
747
+ "epoch": 1.1926345609065157,
748
+ "grad_norm": 1.0496260656765666,
749
+ "learning_rate": 7.500000000000001e-06,
750
+ "loss": 0.4804,
751
+ "step": 106
752
+ },
753
+ {
754
+ "epoch": 1.2039660056657224,
755
+ "grad_norm": 1.057021462285616,
756
+ "learning_rate": 7.442383329265063e-06,
757
+ "loss": 0.4802,
758
+ "step": 107
759
+ },
760
+ {
761
+ "epoch": 1.2152974504249292,
762
+ "grad_norm": 1.0586760394529304,
763
+ "learning_rate": 7.3843375071425315e-06,
764
+ "loss": 0.4755,
765
+ "step": 108
766
+ },
767
+ {
768
+ "epoch": 1.226628895184136,
769
+ "grad_norm": 1.098164645835599,
770
+ "learning_rate": 7.32587273286887e-06,
771
+ "loss": 0.4806,
772
+ "step": 109
773
+ },
774
+ {
775
+ "epoch": 1.2379603399433428,
776
+ "grad_norm": 1.0425540537419706,
777
+ "learning_rate": 7.2669992792946595e-06,
778
+ "loss": 0.4976,
779
+ "step": 110
780
+ },
781
+ {
782
+ "epoch": 1.2492917847025495,
783
+ "grad_norm": 1.0081778159600596,
784
+ "learning_rate": 7.2077274910795605e-06,
785
+ "loss": 0.4775,
786
+ "step": 111
787
+ },
788
+ {
789
+ "epoch": 1.2606232294617563,
790
+ "grad_norm": 1.0426051895523285,
791
+ "learning_rate": 7.14806778287464e-06,
792
+ "loss": 0.4948,
793
+ "step": 112
794
+ },
795
+ {
796
+ "epoch": 1.271954674220963,
797
+ "grad_norm": 1.0491543765702032,
798
+ "learning_rate": 7.088030637492429e-06,
799
+ "loss": 0.5198,
800
+ "step": 113
801
+ },
802
+ {
803
+ "epoch": 1.28328611898017,
804
+ "grad_norm": 1.0120042186636362,
805
+ "learning_rate": 7.02762660406497e-06,
806
+ "loss": 0.5032,
807
+ "step": 114
808
+ },
809
+ {
810
+ "epoch": 1.2946175637393766,
811
+ "grad_norm": 1.0538656654185354,
812
+ "learning_rate": 6.966866296190243e-06,
813
+ "loss": 0.4835,
814
+ "step": 115
815
+ },
816
+ {
817
+ "epoch": 1.3059490084985836,
818
+ "grad_norm": 0.983675200448248,
819
+ "learning_rate": 6.9057603900672355e-06,
820
+ "loss": 0.4469,
821
+ "step": 116
822
+ },
823
+ {
824
+ "epoch": 1.3172804532577904,
825
+ "grad_norm": 1.1103412550285476,
826
+ "learning_rate": 6.844319622620039e-06,
827
+ "loss": 0.5124,
828
+ "step": 117
829
+ },
830
+ {
831
+ "epoch": 1.3286118980169972,
832
+ "grad_norm": 1.064307096238654,
833
+ "learning_rate": 6.782554789611256e-06,
834
+ "loss": 0.4943,
835
+ "step": 118
836
+ },
837
+ {
838
+ "epoch": 1.339943342776204,
839
+ "grad_norm": 1.0325281954877101,
840
+ "learning_rate": 6.7204767437450725e-06,
841
+ "loss": 0.4703,
842
+ "step": 119
843
+ },
844
+ {
845
+ "epoch": 1.3512747875354107,
846
+ "grad_norm": 1.0365628583864628,
847
+ "learning_rate": 6.65809639276034e-06,
848
+ "loss": 0.494,
849
+ "step": 120
850
+ },
851
+ {
852
+ "epoch": 1.3626062322946175,
853
+ "grad_norm": 1.0482388627399757,
854
+ "learning_rate": 6.595424697513963e-06,
855
+ "loss": 0.4502,
856
+ "step": 121
857
+ },
858
+ {
859
+ "epoch": 1.3739376770538243,
860
+ "grad_norm": 1.0272064142818405,
861
+ "learning_rate": 6.532472670054975e-06,
862
+ "loss": 0.492,
863
+ "step": 122
864
+ },
865
+ {
866
+ "epoch": 1.385269121813031,
867
+ "grad_norm": 1.0810272879082132,
868
+ "learning_rate": 6.469251371689606e-06,
869
+ "loss": 0.4847,
870
+ "step": 123
871
+ },
872
+ {
873
+ "epoch": 1.3966005665722379,
874
+ "grad_norm": 1.0366197600921454,
875
+ "learning_rate": 6.405771911037698e-06,
876
+ "loss": 0.4999,
877
+ "step": 124
878
+ },
879
+ {
880
+ "epoch": 1.4079320113314449,
881
+ "grad_norm": 1.0295069364200777,
882
+ "learning_rate": 6.342045442080818e-06,
883
+ "loss": 0.4783,
884
+ "step": 125
885
+ },
886
+ {
887
+ "epoch": 1.4192634560906516,
888
+ "grad_norm": 1.0528763013327969,
889
+ "learning_rate": 6.278083162202374e-06,
890
+ "loss": 0.4846,
891
+ "step": 126
892
+ },
893
+ {
894
+ "epoch": 1.4305949008498584,
895
+ "grad_norm": 1.0734593139015471,
896
+ "learning_rate": 6.21389631022014e-06,
897
+ "loss": 0.5134,
898
+ "step": 127
899
+ },
900
+ {
901
+ "epoch": 1.4419263456090652,
902
+ "grad_norm": 1.0207282551843653,
903
+ "learning_rate": 6.1494961644114685e-06,
904
+ "loss": 0.4855,
905
+ "step": 128
906
+ },
907
+ {
908
+ "epoch": 1.453257790368272,
909
+ "grad_norm": 0.9713494112903828,
910
+ "learning_rate": 6.084894040531591e-06,
911
+ "loss": 0.4667,
912
+ "step": 129
913
+ },
914
+ {
915
+ "epoch": 1.4645892351274787,
916
+ "grad_norm": 1.1036048289558185,
917
+ "learning_rate": 6.0201012898253244e-06,
918
+ "loss": 0.4905,
919
+ "step": 130
920
+ },
921
+ {
922
+ "epoch": 1.4759206798866855,
923
+ "grad_norm": 0.996202225854195,
924
+ "learning_rate": 5.9551292970325394e-06,
925
+ "loss": 0.4746,
926
+ "step": 131
927
+ },
928
+ {
929
+ "epoch": 1.4872521246458923,
930
+ "grad_norm": 1.0919133151119662,
931
+ "learning_rate": 5.8899894783877536e-06,
932
+ "loss": 0.5201,
933
+ "step": 132
934
+ },
935
+ {
936
+ "epoch": 1.498583569405099,
937
+ "grad_norm": 1.11280141387768,
938
+ "learning_rate": 5.824693279614171e-06,
939
+ "loss": 0.4953,
940
+ "step": 133
941
+ },
942
+ {
943
+ "epoch": 1.509915014164306,
944
+ "grad_norm": 1.1163217052046956,
945
+ "learning_rate": 5.759252173912573e-06,
946
+ "loss": 0.481,
947
+ "step": 134
948
+ },
949
+ {
950
+ "epoch": 1.5212464589235126,
951
+ "grad_norm": 1.0688323988028812,
952
+ "learning_rate": 5.693677659945343e-06,
953
+ "loss": 0.4711,
954
+ "step": 135
955
+ },
956
+ {
957
+ "epoch": 1.5325779036827196,
958
+ "grad_norm": 0.9512892167994508,
959
+ "learning_rate": 5.627981259816041e-06,
960
+ "loss": 0.4697,
961
+ "step": 136
962
+ },
963
+ {
964
+ "epoch": 1.5439093484419264,
965
+ "grad_norm": 1.0157798339830766,
966
+ "learning_rate": 5.562174517044862e-06,
967
+ "loss": 0.4728,
968
+ "step": 137
969
+ },
970
+ {
971
+ "epoch": 1.5552407932011332,
972
+ "grad_norm": 0.9982778169224142,
973
+ "learning_rate": 5.496268994540309e-06,
974
+ "loss": 0.453,
975
+ "step": 138
976
+ },
977
+ {
978
+ "epoch": 1.56657223796034,
979
+ "grad_norm": 1.1297738773397445,
980
+ "learning_rate": 5.430276272567485e-06,
981
+ "loss": 0.495,
982
+ "step": 139
983
+ },
984
+ {
985
+ "epoch": 1.5779036827195467,
986
+ "grad_norm": 1.0139903899310507,
987
+ "learning_rate": 5.364207946713318e-06,
988
+ "loss": 0.4844,
989
+ "step": 140
990
+ },
991
+ {
992
+ "epoch": 1.5892351274787535,
993
+ "grad_norm": 0.9490126458491319,
994
+ "learning_rate": 5.2980756258491e-06,
995
+ "loss": 0.4632,
996
+ "step": 141
997
+ },
998
+ {
999
+ "epoch": 1.6005665722379603,
1000
+ "grad_norm": 0.9789924111916612,
1001
+ "learning_rate": 5.231890930090692e-06,
1002
+ "loss": 0.4641,
1003
+ "step": 142
1004
+ },
1005
+ {
1006
+ "epoch": 1.6118980169971673,
1007
+ "grad_norm": 1.0001930502458516,
1008
+ "learning_rate": 5.165665488756755e-06,
1009
+ "loss": 0.4511,
1010
+ "step": 143
1011
+ },
1012
+ {
1013
+ "epoch": 1.6232294617563738,
1014
+ "grad_norm": 1.0412278168604834,
1015
+ "learning_rate": 5.099410938325351e-06,
1016
+ "loss": 0.4813,
1017
+ "step": 144
1018
+ },
1019
+ {
1020
+ "epoch": 1.6345609065155808,
1021
+ "grad_norm": 2.990945647537025,
1022
+ "learning_rate": 5.033138920389313e-06,
1023
+ "loss": 0.4949,
1024
+ "step": 145
1025
+ },
1026
+ {
1027
+ "epoch": 1.6458923512747874,
1028
+ "grad_norm": 0.9622418163601026,
1029
+ "learning_rate": 4.966861079610688e-06,
1030
+ "loss": 0.4855,
1031
+ "step": 146
1032
+ },
1033
+ {
1034
+ "epoch": 1.6572237960339944,
1035
+ "grad_norm": 1.0030167678640822,
1036
+ "learning_rate": 4.900589061674649e-06,
1037
+ "loss": 0.4589,
1038
+ "step": 147
1039
+ },
1040
+ {
1041
+ "epoch": 1.6685552407932012,
1042
+ "grad_norm": 1.0109166766299091,
1043
+ "learning_rate": 4.8343345112432475e-06,
1044
+ "loss": 0.4778,
1045
+ "step": 148
1046
+ },
1047
+ {
1048
+ "epoch": 1.679886685552408,
1049
+ "grad_norm": 1.0402771028968805,
1050
+ "learning_rate": 4.7681090699093076e-06,
1051
+ "loss": 0.4874,
1052
+ "step": 149
1053
+ },
1054
+ {
1055
+ "epoch": 1.6912181303116147,
1056
+ "grad_norm": 1.0333160217244122,
1057
+ "learning_rate": 4.701924374150901e-06,
1058
+ "loss": 0.469,
1059
+ "step": 150
1060
+ },
1061
+ {
1062
+ "epoch": 1.7025495750708215,
1063
+ "grad_norm": 1.0264878278726923,
1064
+ "learning_rate": 4.635792053286682e-06,
1065
+ "loss": 0.477,
1066
+ "step": 151
1067
+ },
1068
+ {
1069
+ "epoch": 1.7138810198300283,
1070
+ "grad_norm": 0.9806277129349131,
1071
+ "learning_rate": 4.569723727432517e-06,
1072
+ "loss": 0.4609,
1073
+ "step": 152
1074
+ },
1075
+ {
1076
+ "epoch": 1.725212464589235,
1077
+ "grad_norm": 1.0430109649067774,
1078
+ "learning_rate": 4.5037310054596936e-06,
1079
+ "loss": 0.4852,
1080
+ "step": 153
1081
+ },
1082
+ {
1083
+ "epoch": 1.736543909348442,
1084
+ "grad_norm": 1.0177412955604808,
1085
+ "learning_rate": 4.43782548295514e-06,
1086
+ "loss": 0.4538,
1087
+ "step": 154
1088
+ },
1089
+ {
1090
+ "epoch": 1.7478753541076486,
1091
+ "grad_norm": 1.0742221754801993,
1092
+ "learning_rate": 4.372018740183961e-06,
1093
+ "loss": 0.502,
1094
+ "step": 155
1095
+ },
1096
+ {
1097
+ "epoch": 1.7592067988668556,
1098
+ "grad_norm": 1.2114594760413002,
1099
+ "learning_rate": 4.30632234005466e-06,
1100
+ "loss": 0.4626,
1101
+ "step": 156
1102
+ },
1103
+ {
1104
+ "epoch": 1.7705382436260622,
1105
+ "grad_norm": 1.0105219104936058,
1106
+ "learning_rate": 4.2407478260874294e-06,
1107
+ "loss": 0.4443,
1108
+ "step": 157
1109
+ },
1110
+ {
1111
+ "epoch": 1.7818696883852692,
1112
+ "grad_norm": 1.0676939421912321,
1113
+ "learning_rate": 4.175306720385831e-06,
1114
+ "loss": 0.461,
1115
+ "step": 158
1116
+ },
1117
+ {
1118
+ "epoch": 1.793201133144476,
1119
+ "grad_norm": 1.0843360976121068,
1120
+ "learning_rate": 4.11001052161225e-06,
1121
+ "loss": 0.4562,
1122
+ "step": 159
1123
+ },
1124
+ {
1125
+ "epoch": 1.8045325779036827,
1126
+ "grad_norm": 1.0182445190909426,
1127
+ "learning_rate": 4.044870702967461e-06,
1128
+ "loss": 0.4597,
1129
+ "step": 160
1130
+ },
1131
+ {
1132
+ "epoch": 1.8158640226628895,
1133
+ "grad_norm": 1.0266398146802735,
1134
+ "learning_rate": 3.979898710174678e-06,
1135
+ "loss": 0.4737,
1136
+ "step": 161
1137
+ },
1138
+ {
1139
+ "epoch": 1.8271954674220963,
1140
+ "grad_norm": 1.0375307407230006,
1141
+ "learning_rate": 3.91510595946841e-06,
1142
+ "loss": 0.476,
1143
+ "step": 162
1144
+ },
1145
+ {
1146
+ "epoch": 1.8385269121813033,
1147
+ "grad_norm": 1.0510195116895713,
1148
+ "learning_rate": 3.850503835588533e-06,
1149
+ "loss": 0.4572,
1150
+ "step": 163
1151
+ },
1152
+ {
1153
+ "epoch": 1.8498583569405098,
1154
+ "grad_norm": 1.0707576258473916,
1155
+ "learning_rate": 3.786103689779861e-06,
1156
+ "loss": 0.4855,
1157
+ "step": 164
1158
+ },
1159
+ {
1160
+ "epoch": 1.8611898016997168,
1161
+ "grad_norm": 1.109879197789788,
1162
+ "learning_rate": 3.721916837797627e-06,
1163
+ "loss": 0.4744,
1164
+ "step": 165
1165
+ },
1166
+ {
1167
+ "epoch": 1.8725212464589234,
1168
+ "grad_norm": 0.9430434127126872,
1169
+ "learning_rate": 3.6579545579191834e-06,
1170
+ "loss": 0.5036,
1171
+ "step": 166
1172
+ },
1173
+ {
1174
+ "epoch": 1.8838526912181304,
1175
+ "grad_norm": 1.0454617136926816,
1176
+ "learning_rate": 3.5942280889623028e-06,
1177
+ "loss": 0.4757,
1178
+ "step": 167
1179
+ },
1180
+ {
1181
+ "epoch": 1.8951841359773371,
1182
+ "grad_norm": 0.9669993221473043,
1183
+ "learning_rate": 3.5307486283103966e-06,
1184
+ "loss": 0.4939,
1185
+ "step": 168
1186
+ },
1187
+ {
1188
+ "epoch": 1.906515580736544,
1189
+ "grad_norm": 1.1489596332179548,
1190
+ "learning_rate": 3.4675273299450264e-06,
1191
+ "loss": 0.4875,
1192
+ "step": 169
1193
+ },
1194
+ {
1195
+ "epoch": 1.9178470254957507,
1196
+ "grad_norm": 1.236638321882873,
1197
+ "learning_rate": 3.4045753024860393e-06,
1198
+ "loss": 0.4899,
1199
+ "step": 170
1200
+ },
1201
+ {
1202
+ "epoch": 1.9291784702549575,
1203
+ "grad_norm": 1.0015067232304347,
1204
+ "learning_rate": 3.3419036072396614e-06,
1205
+ "loss": 0.4367,
1206
+ "step": 171
1207
+ },
1208
+ {
1209
+ "epoch": 1.9405099150141643,
1210
+ "grad_norm": 0.991139662986458,
1211
+ "learning_rate": 3.2795232562549296e-06,
1212
+ "loss": 0.4593,
1213
+ "step": 172
1214
+ },
1215
+ {
1216
+ "epoch": 1.951841359773371,
1217
+ "grad_norm": 1.0171228373147831,
1218
+ "learning_rate": 3.2174452103887455e-06,
1219
+ "loss": 0.4864,
1220
+ "step": 173
1221
+ },
1222
+ {
1223
+ "epoch": 1.963172804532578,
1224
+ "grad_norm": 1.0183503025841374,
1225
+ "learning_rate": 3.1556803773799616e-06,
1226
+ "loss": 0.4775,
1227
+ "step": 174
1228
+ },
1229
+ {
1230
+ "epoch": 1.9745042492917846,
1231
+ "grad_norm": 0.9658158834425475,
1232
+ "learning_rate": 3.0942396099327645e-06,
1233
+ "loss": 0.4628,
1234
+ "step": 175
1235
+ },
1236
+ {
1237
+ "epoch": 1.9858356940509916,
1238
+ "grad_norm": 1.0046391704473616,
1239
+ "learning_rate": 3.03313370380976e-06,
1240
+ "loss": 0.4945,
1241
+ "step": 176
1242
+ },
1243
+ {
1244
+ "epoch": 1.9971671388101981,
1245
+ "grad_norm": 0.9746868290860945,
1246
+ "learning_rate": 2.972373395935031e-06,
1247
+ "loss": 0.4384,
1248
+ "step": 177
1249
+ },
1250
+ {
1251
+ "epoch": 2.0,
1252
+ "grad_norm": 0.9746868290860945,
1253
+ "learning_rate": 2.911969362507574e-06,
1254
+ "loss": 0.4562,
1255
+ "step": 178
1256
+ },
1257
+ {
1258
+ "epoch": 2.011331444759207,
1259
+ "grad_norm": 2.1634786845934584,
1260
+ "learning_rate": 2.8519322171253605e-06,
1261
+ "loss": 0.3576,
1262
+ "step": 179
1263
+ },
1264
+ {
1265
+ "epoch": 2.0226628895184136,
1266
+ "grad_norm": 1.259167809122465,
1267
+ "learning_rate": 2.792272508920443e-06,
1268
+ "loss": 0.3306,
1269
+ "step": 180
1270
+ },
1271
+ {
1272
+ "epoch": 2.0339943342776206,
1273
+ "grad_norm": 1.3388873888110011,
1274
+ "learning_rate": 2.7330007207053413e-06,
1275
+ "loss": 0.353,
1276
+ "step": 181
1277
+ },
1278
+ {
1279
+ "epoch": 2.045325779036827,
1280
+ "grad_norm": 1.1581849151502048,
1281
+ "learning_rate": 2.674127267131131e-06,
1282
+ "loss": 0.3317,
1283
+ "step": 182
1284
+ },
1285
+ {
1286
+ "epoch": 2.056657223796034,
1287
+ "grad_norm": 1.0160032268336192,
1288
+ "learning_rate": 2.615662492857471e-06,
1289
+ "loss": 0.3581,
1290
+ "step": 183
1291
+ },
1292
+ {
1293
+ "epoch": 2.0679886685552407,
1294
+ "grad_norm": 1.0233678646861728,
1295
+ "learning_rate": 2.5576166707349387e-06,
1296
+ "loss": 0.3359,
1297
+ "step": 184
1298
+ },
1299
+ {
1300
+ "epoch": 2.0793201133144477,
1301
+ "grad_norm": 1.0874679159300038,
1302
+ "learning_rate": 2.5000000000000015e-06,
1303
+ "loss": 0.3219,
1304
+ "step": 185
1305
+ },
1306
+ {
1307
+ "epoch": 2.090651558073654,
1308
+ "grad_norm": 1.2469998353736902,
1309
+ "learning_rate": 2.4428226044828896e-06,
1310
+ "loss": 0.3271,
1311
+ "step": 186
1312
+ },
1313
+ {
1314
+ "epoch": 2.101983002832861,
1315
+ "grad_norm": 1.1847806975199535,
1316
+ "learning_rate": 2.3860945308287554e-06,
1317
+ "loss": 0.3429,
1318
+ "step": 187
1319
+ },
1320
+ {
1321
+ "epoch": 2.113314447592068,
1322
+ "grad_norm": 1.3829661881977866,
1323
+ "learning_rate": 2.3298257467323605e-06,
1324
+ "loss": 0.3492,
1325
+ "step": 188
1326
+ },
1327
+ {
1328
+ "epoch": 2.1246458923512748,
1329
+ "grad_norm": 1.1118666347289263,
1330
+ "learning_rate": 2.2740261391866634e-06,
1331
+ "loss": 0.3343,
1332
+ "step": 189
1333
+ },
1334
+ {
1335
+ "epoch": 2.1359773371104818,
1336
+ "grad_norm": 1.1295786044065697,
1337
+ "learning_rate": 2.2187055127455653e-06,
1338
+ "loss": 0.3306,
1339
+ "step": 190
1340
+ },
1341
+ {
1342
+ "epoch": 2.1473087818696883,
1343
+ "grad_norm": 1.3950194361496737,
1344
+ "learning_rate": 2.1638735878011603e-06,
1345
+ "loss": 0.3515,
1346
+ "step": 191
1347
+ },
1348
+ {
1349
+ "epoch": 2.1586402266288953,
1350
+ "grad_norm": 1.1337210762125438,
1351
+ "learning_rate": 2.1095399988757574e-06,
1352
+ "loss": 0.3201,
1353
+ "step": 192
1354
+ },
1355
+ {
1356
+ "epoch": 2.169971671388102,
1357
+ "grad_norm": 1.059433716116878,
1358
+ "learning_rate": 2.0557142929290027e-06,
1359
+ "loss": 0.3526,
1360
+ "step": 193
1361
+ },
1362
+ {
1363
+ "epoch": 2.181303116147309,
1364
+ "grad_norm": 1.0876920114742847,
1365
+ "learning_rate": 2.0024059276803742e-06,
1366
+ "loss": 0.3275,
1367
+ "step": 194
1368
+ },
1369
+ {
1370
+ "epoch": 2.1926345609065154,
1371
+ "grad_norm": 1.136528776323311,
1372
+ "learning_rate": 1.949624269947378e-06,
1373
+ "loss": 0.3499,
1374
+ "step": 195
1375
+ },
1376
+ {
1377
+ "epoch": 2.2039660056657224,
1378
+ "grad_norm": 1.1195654060494844,
1379
+ "learning_rate": 1.897378593999693e-06,
1380
+ "loss": 0.3105,
1381
+ "step": 196
1382
+ },
1383
+ {
1384
+ "epoch": 2.215297450424929,
1385
+ "grad_norm": 1.0686107201673802,
1386
+ "learning_rate": 1.8456780799295888e-06,
1387
+ "loss": 0.3409,
1388
+ "step": 197
1389
+ },
1390
+ {
1391
+ "epoch": 2.226628895184136,
1392
+ "grad_norm": 1.1176135978118285,
1393
+ "learning_rate": 1.794531812038901e-06,
1394
+ "loss": 0.3242,
1395
+ "step": 198
1396
+ },
1397
+ {
1398
+ "epoch": 2.237960339943343,
1399
+ "grad_norm": 1.1225522593354427,
1400
+ "learning_rate": 1.7439487772428142e-06,
1401
+ "loss": 0.3331,
1402
+ "step": 199
1403
+ },
1404
+ {
1405
+ "epoch": 2.2492917847025495,
1406
+ "grad_norm": 1.0504526826797216,
1407
+ "learning_rate": 1.6939378634907815e-06,
1408
+ "loss": 0.3223,
1409
+ "step": 200
1410
+ },
1411
+ {
1412
+ "epoch": 2.2606232294617565,
1413
+ "grad_norm": 1.0112717450368687,
1414
+ "learning_rate": 1.6445078582048158e-06,
1415
+ "loss": 0.3328,
1416
+ "step": 201
1417
+ },
1418
+ {
1419
+ "epoch": 2.271954674220963,
1420
+ "grad_norm": 1.0056815807805697,
1421
+ "learning_rate": 1.5956674467354538e-06,
1422
+ "loss": 0.3349,
1423
+ "step": 202
1424
+ },
1425
+ {
1426
+ "epoch": 2.28328611898017,
1427
+ "grad_norm": 1.0324761445382153,
1428
+ "learning_rate": 1.5474252108356475e-06,
1429
+ "loss": 0.3147,
1430
+ "step": 203
1431
+ },
1432
+ {
1433
+ "epoch": 2.2946175637393766,
1434
+ "grad_norm": 3.0756191856725437,
1435
+ "learning_rate": 1.499789627152874e-06,
1436
+ "loss": 0.3148,
1437
+ "step": 204
1438
+ },
1439
+ {
1440
+ "epoch": 2.3059490084985836,
1441
+ "grad_norm": 1.14933836933374,
1442
+ "learning_rate": 1.452769065739688e-06,
1443
+ "loss": 0.3487,
1444
+ "step": 205
1445
+ },
1446
+ {
1447
+ "epoch": 2.31728045325779,
1448
+ "grad_norm": 0.9691075451255097,
1449
+ "learning_rate": 1.4063717885830375e-06,
1450
+ "loss": 0.3216,
1451
+ "step": 206
1452
+ },
1453
+ {
1454
+ "epoch": 2.328611898016997,
1455
+ "grad_norm": 1.2745727227347767,
1456
+ "learning_rate": 1.3606059481525296e-06,
1457
+ "loss": 0.3585,
1458
+ "step": 207
1459
+ },
1460
+ {
1461
+ "epoch": 2.3399433427762037,
1462
+ "grad_norm": 0.9868916262509804,
1463
+ "learning_rate": 1.3154795859679781e-06,
1464
+ "loss": 0.3416,
1465
+ "step": 208
1466
+ },
1467
+ {
1468
+ "epoch": 2.3512747875354107,
1469
+ "grad_norm": 1.029329657926381,
1470
+ "learning_rate": 1.2710006311864104e-06,
1471
+ "loss": 0.3438,
1472
+ "step": 209
1473
+ },
1474
+ {
1475
+ "epoch": 2.3626062322946177,
1476
+ "grad_norm": 1.2301937202365874,
1477
+ "learning_rate": 1.227176899208849e-06,
1478
+ "loss": 0.3232,
1479
+ "step": 210
1480
+ },
1481
+ {
1482
+ "epoch": 2.3739376770538243,
1483
+ "grad_norm": 1.1079694734813215,
1484
+ "learning_rate": 1.1840160903070591e-06,
1485
+ "loss": 0.3533,
1486
+ "step": 211
1487
+ },
1488
+ {
1489
+ "epoch": 2.3852691218130313,
1490
+ "grad_norm": 1.0355467829487406,
1491
+ "learning_rate": 1.141525788270531e-06,
1492
+ "loss": 0.3455,
1493
+ "step": 212
1494
+ },
1495
+ {
1496
+ "epoch": 2.396600566572238,
1497
+ "grad_norm": 1.0285862271263877,
1498
+ "learning_rate": 1.09971345907394e-06,
1499
+ "loss": 0.2994,
1500
+ "step": 213
1501
+ },
1502
+ {
1503
+ "epoch": 2.407932011331445,
1504
+ "grad_norm": 1.0633893519411577,
1505
+ "learning_rate": 1.0585864495652899e-06,
1506
+ "loss": 0.3386,
1507
+ "step": 214
1508
+ },
1509
+ {
1510
+ "epoch": 2.4192634560906514,
1511
+ "grad_norm": 0.985097331489618,
1512
+ "learning_rate": 1.0181519861750078e-06,
1513
+ "loss": 0.3181,
1514
+ "step": 215
1515
+ },
1516
+ {
1517
+ "epoch": 2.4305949008498584,
1518
+ "grad_norm": 0.951413780263271,
1519
+ "learning_rate": 9.784171736461762e-07,
1520
+ "loss": 0.3105,
1521
+ "step": 216
1522
+ },
1523
+ {
1524
+ "epoch": 2.441926345609065,
1525
+ "grad_norm": 1.0282273427987358,
1526
+ "learning_rate": 9.393889937861694e-07,
1527
+ "loss": 0.3179,
1528
+ "step": 217
1529
+ },
1530
+ {
1531
+ "epoch": 2.453257790368272,
1532
+ "grad_norm": 1.026529941608791,
1533
+ "learning_rate": 9.010743042398684e-07,
1534
+ "loss": 0.3234,
1535
+ "step": 218
1536
+ },
1537
+ {
1538
+ "epoch": 2.4645892351274785,
1539
+ "grad_norm": 1.0299442438320148,
1540
+ "learning_rate": 8.634798372847148e-07,
1541
+ "loss": 0.335,
1542
+ "step": 219
1543
+ },
1544
+ {
1545
+ "epoch": 2.4759206798866855,
1546
+ "grad_norm": 0.9309231031132973,
1547
+ "learning_rate": 8.266121986477699e-07,
1548
+ "loss": 0.318,
1549
+ "step": 220
1550
+ },
1551
+ {
1552
+ "epoch": 2.4872521246458925,
1553
+ "grad_norm": 1.0062159661580126,
1554
+ "learning_rate": 7.904778663450325e-07,
1555
+ "loss": 0.3292,
1556
+ "step": 221
1557
+ },
1558
+ {
1559
+ "epoch": 2.498583569405099,
1560
+ "grad_norm": 1.0354919361102888,
1561
+ "learning_rate": 7.550831895431799e-07,
1562
+ "loss": 0.3266,
1563
+ "step": 222
1564
+ },
1565
+ {
1566
+ "epoch": 2.509915014164306,
1567
+ "grad_norm": 0.9693415538045153,
1568
+ "learning_rate": 7.204343874439578e-07,
1569
+ "loss": 0.3282,
1570
+ "step": 223
1571
+ },
1572
+ {
1573
+ "epoch": 2.5212464589235126,
1574
+ "grad_norm": 1.0178821797615285,
1575
+ "learning_rate": 6.865375481914017e-07,
1576
+ "loss": 0.3561,
1577
+ "step": 224
1578
+ },
1579
+ {
1580
+ "epoch": 2.5325779036827196,
1581
+ "grad_norm": 1.0271091771586642,
1582
+ "learning_rate": 6.533986278020876e-07,
1583
+ "loss": 0.3064,
1584
+ "step": 225
1585
+ },
1586
+ {
1587
+ "epoch": 2.543909348441926,
1588
+ "grad_norm": 0.9930205073186488,
1589
+ "learning_rate": 6.210234491186079e-07,
1590
+ "loss": 0.318,
1591
+ "step": 226
1592
+ },
1593
+ {
1594
+ "epoch": 2.555240793201133,
1595
+ "grad_norm": 1.015466323155115,
1596
+ "learning_rate": 5.894177007864272e-07,
1597
+ "loss": 0.3408,
1598
+ "step": 227
1599
+ },
1600
+ {
1601
+ "epoch": 2.56657223796034,
1602
+ "grad_norm": 1.065785552873228,
1603
+ "learning_rate": 5.585869362543416e-07,
1604
+ "loss": 0.3414,
1605
+ "step": 228
1606
+ },
1607
+ {
1608
+ "epoch": 2.5779036827195467,
1609
+ "grad_norm": 1.0524927446179813,
1610
+ "learning_rate": 5.285365727986708e-07,
1611
+ "loss": 0.3422,
1612
+ "step": 229
1613
+ },
1614
+ {
1615
+ "epoch": 2.5892351274787533,
1616
+ "grad_norm": 1.0219196548167786,
1617
+ "learning_rate": 4.992718905713967e-07,
1618
+ "loss": 0.3388,
1619
+ "step": 230
1620
+ },
1621
+ {
1622
+ "epoch": 2.6005665722379603,
1623
+ "grad_norm": 0.9679912813387603,
1624
+ "learning_rate": 4.707980316723837e-07,
1625
+ "loss": 0.3165,
1626
+ "step": 231
1627
+ },
1628
+ {
1629
+ "epoch": 2.6118980169971673,
1630
+ "grad_norm": 0.9893500327460035,
1631
+ "learning_rate": 4.431199992458607e-07,
1632
+ "loss": 0.3238,
1633
+ "step": 232
1634
+ },
1635
+ {
1636
+ "epoch": 2.623229461756374,
1637
+ "grad_norm": 0.9876579686339385,
1638
+ "learning_rate": 4.16242656601315e-07,
1639
+ "loss": 0.308,
1640
+ "step": 233
1641
+ },
1642
+ {
1643
+ "epoch": 2.634560906515581,
1644
+ "grad_norm": 1.01213916356771,
1645
+ "learning_rate": 3.9017072635896716e-07,
1646
+ "loss": 0.331,
1647
+ "step": 234
1648
+ },
1649
+ {
1650
+ "epoch": 2.6458923512747874,
1651
+ "grad_norm": 1.0151577294613559,
1652
+ "learning_rate": 3.649087896199488e-07,
1653
+ "loss": 0.3098,
1654
+ "step": 235
1655
+ },
1656
+ {
1657
+ "epoch": 2.6572237960339944,
1658
+ "grad_norm": 0.9854787297770221,
1659
+ "learning_rate": 3.404612851613676e-07,
1660
+ "loss": 0.3202,
1661
+ "step": 236
1662
+ },
1663
+ {
1664
+ "epoch": 2.668555240793201,
1665
+ "grad_norm": 2.5197939583747866,
1666
+ "learning_rate": 3.168325086563612e-07,
1667
+ "loss": 0.3302,
1668
+ "step": 237
1669
+ },
1670
+ {
1671
+ "epoch": 2.679886685552408,
1672
+ "grad_norm": 0.9681009670329549,
1673
+ "learning_rate": 2.9402661191930803e-07,
1674
+ "loss": 0.3221,
1675
+ "step": 238
1676
+ },
1677
+ {
1678
+ "epoch": 2.691218130311615,
1679
+ "grad_norm": 1.0155833734622453,
1680
+ "learning_rate": 2.7204760217631074e-07,
1681
+ "loss": 0.324,
1682
+ "step": 239
1683
+ },
1684
+ {
1685
+ "epoch": 2.7025495750708215,
1686
+ "grad_norm": 1.1931982505904983,
1687
+ "learning_rate": 2.5089934136108665e-07,
1688
+ "loss": 0.3327,
1689
+ "step": 240
1690
+ },
1691
+ {
1692
+ "epoch": 2.713881019830028,
1693
+ "grad_norm": 0.9735860788683143,
1694
+ "learning_rate": 2.30585545436387e-07,
1695
+ "loss": 0.3483,
1696
+ "step": 241
1697
+ },
1698
+ {
1699
+ "epoch": 2.725212464589235,
1700
+ "grad_norm": 0.9628214952166717,
1701
+ "learning_rate": 2.1110978374106195e-07,
1702
+ "loss": 0.3455,
1703
+ "step": 242
1704
+ },
1705
+ {
1706
+ "epoch": 2.736543909348442,
1707
+ "grad_norm": 1.4367674984114238,
1708
+ "learning_rate": 1.9247547836289792e-07,
1709
+ "loss": 0.3565,
1710
+ "step": 243
1711
+ },
1712
+ {
1713
+ "epoch": 2.7478753541076486,
1714
+ "grad_norm": 1.0738794442822241,
1715
+ "learning_rate": 1.7468590353731495e-07,
1716
+ "loss": 0.3577,
1717
+ "step": 244
1718
+ },
1719
+ {
1720
+ "epoch": 2.7592067988668556,
1721
+ "grad_norm": 1.0163993435166494,
1722
+ "learning_rate": 1.577441850720568e-07,
1723
+ "loss": 0.3346,
1724
+ "step": 245
1725
+ },
1726
+ {
1727
+ "epoch": 2.770538243626062,
1728
+ "grad_norm": 1.1268283470669345,
1729
+ "learning_rate": 1.4165329979794972e-07,
1730
+ "loss": 0.3204,
1731
+ "step": 246
1732
+ },
1733
+ {
1734
+ "epoch": 2.781869688385269,
1735
+ "grad_norm": 1.00412302366148,
1736
+ "learning_rate": 1.264160750458493e-07,
1737
+ "loss": 0.3091,
1738
+ "step": 247
1739
+ },
1740
+ {
1741
+ "epoch": 2.7932011331444757,
1742
+ "grad_norm": 1.0878323463224275,
1743
+ "learning_rate": 1.1203518814984216e-07,
1744
+ "loss": 0.3219,
1745
+ "step": 248
1746
+ },
1747
+ {
1748
+ "epoch": 2.8045325779036827,
1749
+ "grad_norm": 1.0326844241286977,
1750
+ "learning_rate": 9.851316597681959e-08,
1751
+ "loss": 0.3407,
1752
+ "step": 249
1753
+ },
1754
+ {
1755
+ "epoch": 2.8158640226628897,
1756
+ "grad_norm": 1.0488660487318535,
1757
+ "learning_rate": 8.585238448247434e-08,
1758
+ "loss": 0.3066,
1759
+ "step": 250
1760
+ },
1761
+ {
1762
+ "epoch": 2.8271954674220963,
1763
+ "grad_norm": 0.9440222402450956,
1764
+ "learning_rate": 7.405506829382736e-08,
1765
+ "loss": 0.3007,
1766
+ "step": 251
1767
+ },
1768
+ {
1769
+ "epoch": 2.8385269121813033,
1770
+ "grad_norm": 0.9992965787158642,
1771
+ "learning_rate": 6.31232903183332e-08,
1772
+ "loss": 0.3211,
1773
+ "step": 252
1774
+ },
1775
+ {
1776
+ "epoch": 2.84985835694051,
1777
+ "grad_norm": 1.0525889142182898,
1778
+ "learning_rate": 5.305897137965199e-08,
1779
+ "loss": 0.3339,
1780
+ "step": 253
1781
+ },
1782
+ {
1783
+ "epoch": 2.861189801699717,
1784
+ "grad_norm": 1.0406232501867803,
1785
+ "learning_rate": 4.3863879880142737e-08,
1786
+ "loss": 0.3188,
1787
+ "step": 254
1788
+ },
1789
+ {
1790
+ "epoch": 2.8725212464589234,
1791
+ "grad_norm": 1.0108504238438418,
1792
+ "learning_rate": 3.553963149013295e-08,
1793
+ "loss": 0.3426,
1794
+ "step": 255
1795
+ },
1796
+ {
1797
+ "epoch": 2.8838526912181304,
1798
+ "grad_norm": 1.040975846702501,
1799
+ "learning_rate": 2.8087688864033014e-08,
1800
+ "loss": 0.3365,
1801
+ "step": 256
1802
+ },
1803
+ {
1804
+ "epoch": 2.8951841359773374,
1805
+ "grad_norm": 1.0279134406587973,
1806
+ "learning_rate": 2.1509361383330597e-08,
1807
+ "loss": 0.3167,
1808
+ "step": 257
1809
+ },
1810
+ {
1811
+ "epoch": 2.906515580736544,
1812
+ "grad_norm": 1.0127896976081647,
1813
+ "learning_rate": 1.580580492652084e-08,
1814
+ "loss": 0.3589,
1815
+ "step": 258
1816
+ },
1817
+ {
1818
+ "epoch": 2.9178470254957505,
1819
+ "grad_norm": 1.002944001928922,
1820
+ "learning_rate": 1.0978021666005479e-08,
1821
+ "loss": 0.3382,
1822
+ "step": 259
1823
+ },
1824
+ {
1825
+ "epoch": 2.9291784702549575,
1826
+ "grad_norm": 0.9936405641782646,
1827
+ "learning_rate": 7.02685989200258e-09,
1828
+ "loss": 0.3373,
1829
+ "step": 260
1830
+ },
1831
+ {
1832
+ "epoch": 2.9405099150141645,
1833
+ "grad_norm": 1.0916598818224916,
1834
+ "learning_rate": 3.953013863490784e-09,
1835
+ "loss": 0.3124,
1836
+ "step": 261
1837
+ },
1838
+ {
1839
+ "epoch": 2.951841359773371,
1840
+ "grad_norm": 0.9881063904383428,
1841
+ "learning_rate": 1.757023686224102e-09,
1842
+ "loss": 0.3401,
1843
+ "step": 262
1844
+ },
1845
+ {
1846
+ "epoch": 2.963172804532578,
1847
+ "grad_norm": 0.9953124861905701,
1848
+ "learning_rate": 4.392752178278281e-10,
1849
+ "loss": 0.3202,
1850
+ "step": 263
1851
+ },
1852
+ {
1853
+ "epoch": 2.9745042492917846,
1854
+ "grad_norm": 0.9957928075882635,
1855
+ "learning_rate": 0.0,
1856
+ "loss": 0.299,
1857
+ "step": 264
1858
+ }
1859
+ ],
1860
+ "logging_steps": 1,
1861
+ "max_steps": 264,
1862
+ "num_input_tokens_seen": 0,
1863
+ "num_train_epochs": 3,
1864
+ "save_steps": 500,
1865
+ "stateful_callbacks": {
1866
+ "TrainerControl": {
1867
+ "args": {
1868
+ "should_epoch_stop": false,
1869
+ "should_evaluate": false,
1870
+ "should_log": false,
1871
+ "should_save": true,
1872
+ "should_training_stop": true
1873
+ },
1874
+ "attributes": {}
1875
+ }
1876
+ },
1877
+ "total_flos": 72196646453248.0,
1878
+ "train_batch_size": 1,
1879
+ "trial_name": null,
1880
+ "trial_params": null
1881
+ }
training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:f54bdcea5faf903f385e1a2816e3bc831afb44dd0c605e3eef9f94d96b9d385f
3
+ size 7608
vocab.json ADDED
The diff for this file is too large to render. See raw diff