EtashGuha commited on
Commit
6066990
·
verified ·
1 Parent(s): 600c6c3

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
+ }
all_results.json ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 2.980891719745223,
3
+ "total_flos": 9.25222495000658e+16,
4
+ "train_loss": 0.7492156773805618,
5
+ "train_runtime": 2914.5015,
6
+ "train_samples_per_second": 5.147,
7
+ "train_steps_per_second": 0.054
8
+ }
config.json ADDED
@@ -0,0 +1,29 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_name_or_path": "/leonardo_work/EUHPC_E03_068/eguha/models_cache/Qwen/Qwen2.5-7B-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": 3584,
11
+ "initializer_range": 0.02,
12
+ "intermediate_size": 18944,
13
+ "max_position_embeddings": 32768,
14
+ "max_window_layers": 28,
15
+ "model_type": "qwen2",
16
+ "num_attention_heads": 28,
17
+ "num_hidden_layers": 28,
18
+ "num_key_value_heads": 4,
19
+ "rms_norm_eps": 1e-06,
20
+ "rope_scaling": null,
21
+ "rope_theta": 1000000.0,
22
+ "sliding_window": null,
23
+ "tie_word_embeddings": false,
24
+ "torch_dtype": "bfloat16",
25
+ "transformers_version": "4.46.1",
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": "4.46.1"
14
+ }
merges.txt ADDED
The diff for this file is too large to render. See raw diff
 
model-00001-of-00004.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:acff8d14f3163c62c0fcd98b0b67c8b84f4b67f3f5c2f722b8ea6cdf53bc9e00
3
+ size 4877660776
model-00002-of-00004.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:7295212a5aa810ae4042e309bfd829974015720a12e891b67749e1274a0b228c
3
+ size 4932751008
model-00003-of-00004.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:9a0cd521936a7791a328fe2b3bf3848859dfcffd46aa8d56788e7b0f53fa1e5f
3
+ size 4330865200
model-00004-of-00004.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:75b3b9ce834aef879226fb4596ef9a9b0918e4f75a2eb109094813d7bbc554f4
3
+ size 1089994880
model.safetensors.index.json ADDED
@@ -0,0 +1,346 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "metadata": {
3
+ "total_size": 15231233024
4
+ },
5
+ "weight_map": {
6
+ "lm_head.weight": "model-00004-of-00004.safetensors",
7
+ "model.embed_tokens.weight": "model-00001-of-00004.safetensors",
8
+ "model.layers.0.input_layernorm.weight": "model-00001-of-00004.safetensors",
9
+ "model.layers.0.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
10
+ "model.layers.0.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
11
+ "model.layers.0.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
12
+ "model.layers.0.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
13
+ "model.layers.0.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
14
+ "model.layers.0.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
15
+ "model.layers.0.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
16
+ "model.layers.0.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
17
+ "model.layers.0.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
18
+ "model.layers.0.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
19
+ "model.layers.0.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
20
+ "model.layers.1.input_layernorm.weight": "model-00001-of-00004.safetensors",
21
+ "model.layers.1.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
22
+ "model.layers.1.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
23
+ "model.layers.1.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
24
+ "model.layers.1.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
25
+ "model.layers.1.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
26
+ "model.layers.1.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
27
+ "model.layers.1.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
28
+ "model.layers.1.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
29
+ "model.layers.1.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
30
+ "model.layers.1.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
31
+ "model.layers.1.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
32
+ "model.layers.10.input_layernorm.weight": "model-00002-of-00004.safetensors",
33
+ "model.layers.10.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
34
+ "model.layers.10.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
35
+ "model.layers.10.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
36
+ "model.layers.10.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
37
+ "model.layers.10.self_attn.k_proj.bias": "model-00002-of-00004.safetensors",
38
+ "model.layers.10.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
39
+ "model.layers.10.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
40
+ "model.layers.10.self_attn.q_proj.bias": "model-00002-of-00004.safetensors",
41
+ "model.layers.10.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
42
+ "model.layers.10.self_attn.v_proj.bias": "model-00002-of-00004.safetensors",
43
+ "model.layers.10.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
44
+ "model.layers.11.input_layernorm.weight": "model-00002-of-00004.safetensors",
45
+ "model.layers.11.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
46
+ "model.layers.11.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
47
+ "model.layers.11.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
48
+ "model.layers.11.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
49
+ "model.layers.11.self_attn.k_proj.bias": "model-00002-of-00004.safetensors",
50
+ "model.layers.11.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
51
+ "model.layers.11.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
52
+ "model.layers.11.self_attn.q_proj.bias": "model-00002-of-00004.safetensors",
53
+ "model.layers.11.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
54
+ "model.layers.11.self_attn.v_proj.bias": "model-00002-of-00004.safetensors",
55
+ "model.layers.11.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
56
+ "model.layers.12.input_layernorm.weight": "model-00002-of-00004.safetensors",
57
+ "model.layers.12.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
58
+ "model.layers.12.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
59
+ "model.layers.12.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
60
+ "model.layers.12.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
61
+ "model.layers.12.self_attn.k_proj.bias": "model-00002-of-00004.safetensors",
62
+ "model.layers.12.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
63
+ "model.layers.12.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
64
+ "model.layers.12.self_attn.q_proj.bias": "model-00002-of-00004.safetensors",
65
+ "model.layers.12.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
66
+ "model.layers.12.self_attn.v_proj.bias": "model-00002-of-00004.safetensors",
67
+ "model.layers.12.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
68
+ "model.layers.13.input_layernorm.weight": "model-00002-of-00004.safetensors",
69
+ "model.layers.13.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
70
+ "model.layers.13.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
71
+ "model.layers.13.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
72
+ "model.layers.13.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
73
+ "model.layers.13.self_attn.k_proj.bias": "model-00002-of-00004.safetensors",
74
+ "model.layers.13.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
75
+ "model.layers.13.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
76
+ "model.layers.13.self_attn.q_proj.bias": "model-00002-of-00004.safetensors",
77
+ "model.layers.13.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
78
+ "model.layers.13.self_attn.v_proj.bias": "model-00002-of-00004.safetensors",
79
+ "model.layers.13.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
80
+ "model.layers.14.input_layernorm.weight": "model-00002-of-00004.safetensors",
81
+ "model.layers.14.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
82
+ "model.layers.14.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
83
+ "model.layers.14.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
84
+ "model.layers.14.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
85
+ "model.layers.14.self_attn.k_proj.bias": "model-00002-of-00004.safetensors",
86
+ "model.layers.14.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
87
+ "model.layers.14.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
88
+ "model.layers.14.self_attn.q_proj.bias": "model-00002-of-00004.safetensors",
89
+ "model.layers.14.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
90
+ "model.layers.14.self_attn.v_proj.bias": "model-00002-of-00004.safetensors",
91
+ "model.layers.14.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
92
+ "model.layers.15.input_layernorm.weight": "model-00002-of-00004.safetensors",
93
+ "model.layers.15.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
94
+ "model.layers.15.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
95
+ "model.layers.15.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
96
+ "model.layers.15.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
97
+ "model.layers.15.self_attn.k_proj.bias": "model-00002-of-00004.safetensors",
98
+ "model.layers.15.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
99
+ "model.layers.15.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
100
+ "model.layers.15.self_attn.q_proj.bias": "model-00002-of-00004.safetensors",
101
+ "model.layers.15.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
102
+ "model.layers.15.self_attn.v_proj.bias": "model-00002-of-00004.safetensors",
103
+ "model.layers.15.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
104
+ "model.layers.16.input_layernorm.weight": "model-00002-of-00004.safetensors",
105
+ "model.layers.16.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
106
+ "model.layers.16.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
107
+ "model.layers.16.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
108
+ "model.layers.16.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
109
+ "model.layers.16.self_attn.k_proj.bias": "model-00002-of-00004.safetensors",
110
+ "model.layers.16.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
111
+ "model.layers.16.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
112
+ "model.layers.16.self_attn.q_proj.bias": "model-00002-of-00004.safetensors",
113
+ "model.layers.16.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
114
+ "model.layers.16.self_attn.v_proj.bias": "model-00002-of-00004.safetensors",
115
+ "model.layers.16.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
116
+ "model.layers.17.input_layernorm.weight": "model-00002-of-00004.safetensors",
117
+ "model.layers.17.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
118
+ "model.layers.17.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
119
+ "model.layers.17.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
120
+ "model.layers.17.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
121
+ "model.layers.17.self_attn.k_proj.bias": "model-00002-of-00004.safetensors",
122
+ "model.layers.17.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
123
+ "model.layers.17.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
124
+ "model.layers.17.self_attn.q_proj.bias": "model-00002-of-00004.safetensors",
125
+ "model.layers.17.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
126
+ "model.layers.17.self_attn.v_proj.bias": "model-00002-of-00004.safetensors",
127
+ "model.layers.17.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
128
+ "model.layers.18.input_layernorm.weight": "model-00003-of-00004.safetensors",
129
+ "model.layers.18.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
130
+ "model.layers.18.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
131
+ "model.layers.18.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
132
+ "model.layers.18.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
133
+ "model.layers.18.self_attn.k_proj.bias": "model-00002-of-00004.safetensors",
134
+ "model.layers.18.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
135
+ "model.layers.18.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
136
+ "model.layers.18.self_attn.q_proj.bias": "model-00002-of-00004.safetensors",
137
+ "model.layers.18.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
138
+ "model.layers.18.self_attn.v_proj.bias": "model-00002-of-00004.safetensors",
139
+ "model.layers.18.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
140
+ "model.layers.19.input_layernorm.weight": "model-00003-of-00004.safetensors",
141
+ "model.layers.19.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
142
+ "model.layers.19.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
143
+ "model.layers.19.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
144
+ "model.layers.19.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
145
+ "model.layers.19.self_attn.k_proj.bias": "model-00003-of-00004.safetensors",
146
+ "model.layers.19.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
147
+ "model.layers.19.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
148
+ "model.layers.19.self_attn.q_proj.bias": "model-00003-of-00004.safetensors",
149
+ "model.layers.19.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
150
+ "model.layers.19.self_attn.v_proj.bias": "model-00003-of-00004.safetensors",
151
+ "model.layers.19.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
152
+ "model.layers.2.input_layernorm.weight": "model-00001-of-00004.safetensors",
153
+ "model.layers.2.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
154
+ "model.layers.2.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
155
+ "model.layers.2.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
156
+ "model.layers.2.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
157
+ "model.layers.2.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
158
+ "model.layers.2.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
159
+ "model.layers.2.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
160
+ "model.layers.2.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
161
+ "model.layers.2.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
162
+ "model.layers.2.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
163
+ "model.layers.2.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
164
+ "model.layers.20.input_layernorm.weight": "model-00003-of-00004.safetensors",
165
+ "model.layers.20.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
166
+ "model.layers.20.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
167
+ "model.layers.20.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
168
+ "model.layers.20.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
169
+ "model.layers.20.self_attn.k_proj.bias": "model-00003-of-00004.safetensors",
170
+ "model.layers.20.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
171
+ "model.layers.20.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
172
+ "model.layers.20.self_attn.q_proj.bias": "model-00003-of-00004.safetensors",
173
+ "model.layers.20.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
174
+ "model.layers.20.self_attn.v_proj.bias": "model-00003-of-00004.safetensors",
175
+ "model.layers.20.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
176
+ "model.layers.21.input_layernorm.weight": "model-00003-of-00004.safetensors",
177
+ "model.layers.21.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
178
+ "model.layers.21.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
179
+ "model.layers.21.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
180
+ "model.layers.21.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
181
+ "model.layers.21.self_attn.k_proj.bias": "model-00003-of-00004.safetensors",
182
+ "model.layers.21.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
183
+ "model.layers.21.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
184
+ "model.layers.21.self_attn.q_proj.bias": "model-00003-of-00004.safetensors",
185
+ "model.layers.21.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
186
+ "model.layers.21.self_attn.v_proj.bias": "model-00003-of-00004.safetensors",
187
+ "model.layers.21.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
188
+ "model.layers.22.input_layernorm.weight": "model-00003-of-00004.safetensors",
189
+ "model.layers.22.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
190
+ "model.layers.22.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
191
+ "model.layers.22.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
192
+ "model.layers.22.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
193
+ "model.layers.22.self_attn.k_proj.bias": "model-00003-of-00004.safetensors",
194
+ "model.layers.22.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
195
+ "model.layers.22.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
196
+ "model.layers.22.self_attn.q_proj.bias": "model-00003-of-00004.safetensors",
197
+ "model.layers.22.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
198
+ "model.layers.22.self_attn.v_proj.bias": "model-00003-of-00004.safetensors",
199
+ "model.layers.22.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
200
+ "model.layers.23.input_layernorm.weight": "model-00003-of-00004.safetensors",
201
+ "model.layers.23.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
202
+ "model.layers.23.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
203
+ "model.layers.23.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
204
+ "model.layers.23.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
205
+ "model.layers.23.self_attn.k_proj.bias": "model-00003-of-00004.safetensors",
206
+ "model.layers.23.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
207
+ "model.layers.23.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
208
+ "model.layers.23.self_attn.q_proj.bias": "model-00003-of-00004.safetensors",
209
+ "model.layers.23.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
210
+ "model.layers.23.self_attn.v_proj.bias": "model-00003-of-00004.safetensors",
211
+ "model.layers.23.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
212
+ "model.layers.24.input_layernorm.weight": "model-00003-of-00004.safetensors",
213
+ "model.layers.24.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
214
+ "model.layers.24.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
215
+ "model.layers.24.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
216
+ "model.layers.24.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
217
+ "model.layers.24.self_attn.k_proj.bias": "model-00003-of-00004.safetensors",
218
+ "model.layers.24.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
219
+ "model.layers.24.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
220
+ "model.layers.24.self_attn.q_proj.bias": "model-00003-of-00004.safetensors",
221
+ "model.layers.24.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
222
+ "model.layers.24.self_attn.v_proj.bias": "model-00003-of-00004.safetensors",
223
+ "model.layers.24.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
224
+ "model.layers.25.input_layernorm.weight": "model-00003-of-00004.safetensors",
225
+ "model.layers.25.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
226
+ "model.layers.25.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
227
+ "model.layers.25.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
228
+ "model.layers.25.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
229
+ "model.layers.25.self_attn.k_proj.bias": "model-00003-of-00004.safetensors",
230
+ "model.layers.25.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
231
+ "model.layers.25.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
232
+ "model.layers.25.self_attn.q_proj.bias": "model-00003-of-00004.safetensors",
233
+ "model.layers.25.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
234
+ "model.layers.25.self_attn.v_proj.bias": "model-00003-of-00004.safetensors",
235
+ "model.layers.25.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
236
+ "model.layers.26.input_layernorm.weight": "model-00003-of-00004.safetensors",
237
+ "model.layers.26.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
238
+ "model.layers.26.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
239
+ "model.layers.26.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
240
+ "model.layers.26.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
241
+ "model.layers.26.self_attn.k_proj.bias": "model-00003-of-00004.safetensors",
242
+ "model.layers.26.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
243
+ "model.layers.26.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
244
+ "model.layers.26.self_attn.q_proj.bias": "model-00003-of-00004.safetensors",
245
+ "model.layers.26.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
246
+ "model.layers.26.self_attn.v_proj.bias": "model-00003-of-00004.safetensors",
247
+ "model.layers.26.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
248
+ "model.layers.27.input_layernorm.weight": "model-00003-of-00004.safetensors",
249
+ "model.layers.27.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
250
+ "model.layers.27.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
251
+ "model.layers.27.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
252
+ "model.layers.27.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
253
+ "model.layers.27.self_attn.k_proj.bias": "model-00003-of-00004.safetensors",
254
+ "model.layers.27.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
255
+ "model.layers.27.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
256
+ "model.layers.27.self_attn.q_proj.bias": "model-00003-of-00004.safetensors",
257
+ "model.layers.27.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
258
+ "model.layers.27.self_attn.v_proj.bias": "model-00003-of-00004.safetensors",
259
+ "model.layers.27.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
260
+ "model.layers.3.input_layernorm.weight": "model-00001-of-00004.safetensors",
261
+ "model.layers.3.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
262
+ "model.layers.3.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
263
+ "model.layers.3.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
264
+ "model.layers.3.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
265
+ "model.layers.3.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
266
+ "model.layers.3.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
267
+ "model.layers.3.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
268
+ "model.layers.3.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
269
+ "model.layers.3.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
270
+ "model.layers.3.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
271
+ "model.layers.3.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
272
+ "model.layers.4.input_layernorm.weight": "model-00001-of-00004.safetensors",
273
+ "model.layers.4.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
274
+ "model.layers.4.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
275
+ "model.layers.4.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
276
+ "model.layers.4.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
277
+ "model.layers.4.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
278
+ "model.layers.4.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
279
+ "model.layers.4.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
280
+ "model.layers.4.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
281
+ "model.layers.4.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
282
+ "model.layers.4.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
283
+ "model.layers.4.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
284
+ "model.layers.5.input_layernorm.weight": "model-00001-of-00004.safetensors",
285
+ "model.layers.5.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
286
+ "model.layers.5.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
287
+ "model.layers.5.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
288
+ "model.layers.5.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
289
+ "model.layers.5.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
290
+ "model.layers.5.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
291
+ "model.layers.5.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
292
+ "model.layers.5.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
293
+ "model.layers.5.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
294
+ "model.layers.5.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
295
+ "model.layers.5.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
296
+ "model.layers.6.input_layernorm.weight": "model-00001-of-00004.safetensors",
297
+ "model.layers.6.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
298
+ "model.layers.6.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
299
+ "model.layers.6.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
300
+ "model.layers.6.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
301
+ "model.layers.6.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
302
+ "model.layers.6.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
303
+ "model.layers.6.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
304
+ "model.layers.6.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
305
+ "model.layers.6.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
306
+ "model.layers.6.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
307
+ "model.layers.6.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
308
+ "model.layers.7.input_layernorm.weight": "model-00001-of-00004.safetensors",
309
+ "model.layers.7.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
310
+ "model.layers.7.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
311
+ "model.layers.7.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
312
+ "model.layers.7.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
313
+ "model.layers.7.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
314
+ "model.layers.7.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
315
+ "model.layers.7.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
316
+ "model.layers.7.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
317
+ "model.layers.7.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
318
+ "model.layers.7.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
319
+ "model.layers.7.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
320
+ "model.layers.8.input_layernorm.weight": "model-00002-of-00004.safetensors",
321
+ "model.layers.8.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
322
+ "model.layers.8.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
323
+ "model.layers.8.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
324
+ "model.layers.8.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
325
+ "model.layers.8.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
326
+ "model.layers.8.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
327
+ "model.layers.8.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
328
+ "model.layers.8.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
329
+ "model.layers.8.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
330
+ "model.layers.8.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
331
+ "model.layers.8.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
332
+ "model.layers.9.input_layernorm.weight": "model-00002-of-00004.safetensors",
333
+ "model.layers.9.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
334
+ "model.layers.9.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
335
+ "model.layers.9.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
336
+ "model.layers.9.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
337
+ "model.layers.9.self_attn.k_proj.bias": "model-00002-of-00004.safetensors",
338
+ "model.layers.9.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
339
+ "model.layers.9.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
340
+ "model.layers.9.self_attn.q_proj.bias": "model-00002-of-00004.safetensors",
341
+ "model.layers.9.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
342
+ "model.layers.9.self_attn.v_proj.bias": "model-00002-of-00004.safetensors",
343
+ "model.layers.9.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
344
+ "model.norm.weight": "model-00003-of-00004.safetensors"
345
+ }
346
+ }
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": "<|endoftext|>",
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 +1,208 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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": "<|endoftext|>",
201
+ "errors": "replace",
202
+ "model_max_length": 131072,
203
+ "pad_token": "<|endoftext|>",
204
+ "padding_side": "right",
205
+ "split_special_tokens": false,
206
+ "tokenizer_class": "Qwen2Tokenizer",
207
+ "unk_token": null
208
+ }
train_results.json ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 2.980891719745223,
3
+ "total_flos": 9.25222495000658e+16,
4
+ "train_loss": 0.7492156773805618,
5
+ "train_runtime": 2914.5015,
6
+ "train_samples_per_second": 5.147,
7
+ "train_steps_per_second": 0.054
8
+ }
trainer_log.jsonl ADDED
@@ -0,0 +1,157 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {"current_steps": 1, "total_steps": 156, "loss": 1.2512, "lr": 6.25e-07, "epoch": 0.01910828025477707, "percentage": 0.64, "elapsed_time": "0:00:28", "remaining_time": "1:13:18"}
2
+ {"current_steps": 2, "total_steps": 156, "loss": 1.2318, "lr": 1.25e-06, "epoch": 0.03821656050955414, "percentage": 1.28, "elapsed_time": "0:00:46", "remaining_time": "0:59:38"}
3
+ {"current_steps": 3, "total_steps": 156, "loss": 1.2433, "lr": 1.8750000000000003e-06, "epoch": 0.05732484076433121, "percentage": 1.92, "elapsed_time": "0:01:06", "remaining_time": "0:56:17"}
4
+ {"current_steps": 4, "total_steps": 156, "loss": 1.2361, "lr": 2.5e-06, "epoch": 0.07643312101910828, "percentage": 2.56, "elapsed_time": "0:01:20", "remaining_time": "0:51:05"}
5
+ {"current_steps": 5, "total_steps": 156, "loss": 1.2129, "lr": 3.125e-06, "epoch": 0.09554140127388536, "percentage": 3.21, "elapsed_time": "0:01:39", "remaining_time": "0:50:05"}
6
+ {"current_steps": 6, "total_steps": 156, "loss": 1.1534, "lr": 3.7500000000000005e-06, "epoch": 0.11464968152866242, "percentage": 3.85, "elapsed_time": "0:01:57", "remaining_time": "0:48:56"}
7
+ {"current_steps": 7, "total_steps": 156, "loss": 1.1355, "lr": 4.3750000000000005e-06, "epoch": 0.1337579617834395, "percentage": 4.49, "elapsed_time": "0:02:12", "remaining_time": "0:47:10"}
8
+ {"current_steps": 8, "total_steps": 156, "loss": 1.0924, "lr": 5e-06, "epoch": 0.15286624203821655, "percentage": 5.13, "elapsed_time": "0:02:32", "remaining_time": "0:46:57"}
9
+ {"current_steps": 9, "total_steps": 156, "loss": 1.0943, "lr": 5.625e-06, "epoch": 0.17197452229299362, "percentage": 5.77, "elapsed_time": "0:02:46", "remaining_time": "0:45:22"}
10
+ {"current_steps": 10, "total_steps": 156, "loss": 1.0389, "lr": 6.25e-06, "epoch": 0.1910828025477707, "percentage": 6.41, "elapsed_time": "0:03:12", "remaining_time": "0:46:48"}
11
+ {"current_steps": 11, "total_steps": 156, "loss": 1.0224, "lr": 6.875e-06, "epoch": 0.21019108280254778, "percentage": 7.05, "elapsed_time": "0:03:26", "remaining_time": "0:45:26"}
12
+ {"current_steps": 12, "total_steps": 156, "loss": 1.0536, "lr": 7.500000000000001e-06, "epoch": 0.22929936305732485, "percentage": 7.69, "elapsed_time": "0:03:43", "remaining_time": "0:44:39"}
13
+ {"current_steps": 13, "total_steps": 156, "loss": 1.0143, "lr": 8.125000000000001e-06, "epoch": 0.2484076433121019, "percentage": 8.33, "elapsed_time": "0:04:04", "remaining_time": "0:44:47"}
14
+ {"current_steps": 14, "total_steps": 156, "loss": 0.9741, "lr": 8.750000000000001e-06, "epoch": 0.267515923566879, "percentage": 8.97, "elapsed_time": "0:04:21", "remaining_time": "0:44:15"}
15
+ {"current_steps": 15, "total_steps": 156, "loss": 0.9494, "lr": 9.375000000000001e-06, "epoch": 0.28662420382165604, "percentage": 9.62, "elapsed_time": "0:04:34", "remaining_time": "0:43:02"}
16
+ {"current_steps": 16, "total_steps": 156, "loss": 0.9275, "lr": 1e-05, "epoch": 0.3057324840764331, "percentage": 10.26, "elapsed_time": "0:05:01", "remaining_time": "0:43:55"}
17
+ {"current_steps": 17, "total_steps": 156, "loss": 0.9178, "lr": 9.998741174712534e-06, "epoch": 0.3248407643312102, "percentage": 10.9, "elapsed_time": "0:05:24", "remaining_time": "0:44:09"}
18
+ {"current_steps": 18, "total_steps": 156, "loss": 0.8882, "lr": 9.994965332706574e-06, "epoch": 0.34394904458598724, "percentage": 11.54, "elapsed_time": "0:05:42", "remaining_time": "0:43:43"}
19
+ {"current_steps": 19, "total_steps": 156, "loss": 0.8857, "lr": 9.98867437523228e-06, "epoch": 0.3630573248407643, "percentage": 12.18, "elapsed_time": "0:05:58", "remaining_time": "0:43:06"}
20
+ {"current_steps": 20, "total_steps": 156, "loss": 0.9158, "lr": 9.979871469976197e-06, "epoch": 0.3821656050955414, "percentage": 12.82, "elapsed_time": "0:06:14", "remaining_time": "0:42:28"}
21
+ {"current_steps": 21, "total_steps": 156, "loss": 0.9254, "lr": 9.968561049466214e-06, "epoch": 0.4012738853503185, "percentage": 13.46, "elapsed_time": "0:06:35", "remaining_time": "0:42:21"}
22
+ {"current_steps": 22, "total_steps": 156, "loss": 0.9127, "lr": 9.954748808839675e-06, "epoch": 0.42038216560509556, "percentage": 14.1, "elapsed_time": "0:06:52", "remaining_time": "0:41:51"}
23
+ {"current_steps": 23, "total_steps": 156, "loss": 0.8819, "lr": 9.938441702975689e-06, "epoch": 0.4394904458598726, "percentage": 14.74, "elapsed_time": "0:07:08", "remaining_time": "0:41:19"}
24
+ {"current_steps": 24, "total_steps": 156, "loss": 0.8983, "lr": 9.91964794299315e-06, "epoch": 0.4585987261146497, "percentage": 15.38, "elapsed_time": "0:07:33", "remaining_time": "0:41:32"}
25
+ {"current_steps": 25, "total_steps": 156, "loss": 0.9112, "lr": 9.898376992116179e-06, "epoch": 0.47770700636942676, "percentage": 16.03, "elapsed_time": "0:07:51", "remaining_time": "0:41:10"}
26
+ {"current_steps": 26, "total_steps": 156, "loss": 0.8848, "lr": 9.874639560909118e-06, "epoch": 0.4968152866242038, "percentage": 16.67, "elapsed_time": "0:08:05", "remaining_time": "0:40:27"}
27
+ {"current_steps": 27, "total_steps": 156, "loss": 0.8977, "lr": 9.848447601883436e-06, "epoch": 0.5159235668789809, "percentage": 17.31, "elapsed_time": "0:08:20", "remaining_time": "0:39:53"}
28
+ {"current_steps": 28, "total_steps": 156, "loss": 0.8912, "lr": 9.819814303479268e-06, "epoch": 0.535031847133758, "percentage": 17.95, "elapsed_time": "0:08:38", "remaining_time": "0:39:28"}
29
+ {"current_steps": 29, "total_steps": 156, "loss": 0.8851, "lr": 9.788754083424654e-06, "epoch": 0.554140127388535, "percentage": 18.59, "elapsed_time": "0:08:59", "remaining_time": "0:39:23"}
30
+ {"current_steps": 30, "total_steps": 156, "loss": 0.8716, "lr": 9.755282581475769e-06, "epoch": 0.5732484076433121, "percentage": 19.23, "elapsed_time": "0:09:16", "remaining_time": "0:38:55"}
31
+ {"current_steps": 31, "total_steps": 156, "loss": 0.8603, "lr": 9.719416651541839e-06, "epoch": 0.5923566878980892, "percentage": 19.87, "elapsed_time": "0:09:37", "remaining_time": "0:38:48"}
32
+ {"current_steps": 32, "total_steps": 156, "loss": 0.8885, "lr": 9.681174353198687e-06, "epoch": 0.6114649681528662, "percentage": 20.51, "elapsed_time": "0:09:52", "remaining_time": "0:38:16"}
33
+ {"current_steps": 33, "total_steps": 156, "loss": 0.8426, "lr": 9.640574942595195e-06, "epoch": 0.6305732484076433, "percentage": 21.15, "elapsed_time": "0:10:11", "remaining_time": "0:37:58"}
34
+ {"current_steps": 34, "total_steps": 156, "loss": 0.8413, "lr": 9.597638862757255e-06, "epoch": 0.6496815286624203, "percentage": 21.79, "elapsed_time": "0:10:25", "remaining_time": "0:37:25"}
35
+ {"current_steps": 35, "total_steps": 156, "loss": 0.8398, "lr": 9.552387733294081e-06, "epoch": 0.6687898089171974, "percentage": 22.44, "elapsed_time": "0:10:46", "remaining_time": "0:37:14"}
36
+ {"current_steps": 36, "total_steps": 156, "loss": 0.8738, "lr": 9.504844339512096e-06, "epoch": 0.6878980891719745, "percentage": 23.08, "elapsed_time": "0:11:07", "remaining_time": "0:37:06"}
37
+ {"current_steps": 37, "total_steps": 156, "loss": 0.8632, "lr": 9.45503262094184e-06, "epoch": 0.7070063694267515, "percentage": 23.72, "elapsed_time": "0:11:23", "remaining_time": "0:36:38"}
38
+ {"current_steps": 38, "total_steps": 156, "loss": 0.832, "lr": 9.40297765928369e-06, "epoch": 0.7261146496815286, "percentage": 24.36, "elapsed_time": "0:11:41", "remaining_time": "0:36:18"}
39
+ {"current_steps": 39, "total_steps": 156, "loss": 0.8392, "lr": 9.348705665778479e-06, "epoch": 0.7452229299363057, "percentage": 25.0, "elapsed_time": "0:12:02", "remaining_time": "0:36:08"}
40
+ {"current_steps": 40, "total_steps": 156, "loss": 0.8553, "lr": 9.292243968009332e-06, "epoch": 0.7643312101910829, "percentage": 25.64, "elapsed_time": "0:12:20", "remaining_time": "0:35:48"}
41
+ {"current_steps": 41, "total_steps": 156, "loss": 0.8169, "lr": 9.233620996141421e-06, "epoch": 0.7834394904458599, "percentage": 26.28, "elapsed_time": "0:12:41", "remaining_time": "0:35:35"}
42
+ {"current_steps": 42, "total_steps": 156, "loss": 0.8268, "lr": 9.172866268606514e-06, "epoch": 0.802547770700637, "percentage": 26.92, "elapsed_time": "0:12:57", "remaining_time": "0:35:09"}
43
+ {"current_steps": 43, "total_steps": 156, "loss": 0.8662, "lr": 9.110010377239552e-06, "epoch": 0.821656050955414, "percentage": 27.56, "elapsed_time": "0:13:11", "remaining_time": "0:34:40"}
44
+ {"current_steps": 44, "total_steps": 156, "loss": 0.8184, "lr": 9.045084971874738e-06, "epoch": 0.8407643312101911, "percentage": 28.21, "elapsed_time": "0:13:28", "remaining_time": "0:34:18"}
45
+ {"current_steps": 45, "total_steps": 156, "loss": 0.8376, "lr": 8.978122744408905e-06, "epoch": 0.8598726114649682, "percentage": 28.85, "elapsed_time": "0:13:48", "remaining_time": "0:34:04"}
46
+ {"current_steps": 46, "total_steps": 156, "loss": 0.8462, "lr": 8.90915741234015e-06, "epoch": 0.8789808917197452, "percentage": 29.49, "elapsed_time": "0:14:09", "remaining_time": "0:33:51"}
47
+ {"current_steps": 47, "total_steps": 156, "loss": 0.8462, "lr": 8.838223701790057e-06, "epoch": 0.8980891719745223, "percentage": 30.13, "elapsed_time": "0:14:30", "remaining_time": "0:33:38"}
48
+ {"current_steps": 48, "total_steps": 156, "loss": 0.8161, "lr": 8.765357330018056e-06, "epoch": 0.9171974522292994, "percentage": 30.77, "elapsed_time": "0:14:47", "remaining_time": "0:33:17"}
49
+ {"current_steps": 49, "total_steps": 156, "loss": 0.8612, "lr": 8.690594987436705e-06, "epoch": 0.9363057324840764, "percentage": 31.41, "elapsed_time": "0:15:02", "remaining_time": "0:32:51"}
50
+ {"current_steps": 50, "total_steps": 156, "loss": 0.8474, "lr": 8.613974319136959e-06, "epoch": 0.9554140127388535, "percentage": 32.05, "elapsed_time": "0:15:21", "remaining_time": "0:32:34"}
51
+ {"current_steps": 51, "total_steps": 156, "loss": 0.8366, "lr": 8.535533905932739e-06, "epoch": 0.9745222929936306, "percentage": 32.69, "elapsed_time": "0:15:38", "remaining_time": "0:32:12"}
52
+ {"current_steps": 52, "total_steps": 156, "loss": 0.869, "lr": 8.455313244934324e-06, "epoch": 0.9936305732484076, "percentage": 33.33, "elapsed_time": "0:15:55", "remaining_time": "0:31:50"}
53
+ {"current_steps": 53, "total_steps": 156, "loss": 0.7792, "lr": 8.373352729660373e-06, "epoch": 1.0127388535031847, "percentage": 33.97, "elapsed_time": "0:16:51", "remaining_time": "0:32:45"}
54
+ {"current_steps": 54, "total_steps": 156, "loss": 0.7468, "lr": 8.289693629698564e-06, "epoch": 1.0318471337579618, "percentage": 34.62, "elapsed_time": "0:17:13", "remaining_time": "0:32:31"}
55
+ {"current_steps": 55, "total_steps": 156, "loss": 0.7348, "lr": 8.204378069925121e-06, "epoch": 1.0509554140127388, "percentage": 35.26, "elapsed_time": "0:17:33", "remaining_time": "0:32:14"}
56
+ {"current_steps": 56, "total_steps": 156, "loss": 0.7509, "lr": 8.117449009293668e-06, "epoch": 1.070063694267516, "percentage": 35.9, "elapsed_time": "0:17:58", "remaining_time": "0:32:05"}
57
+ {"current_steps": 57, "total_steps": 156, "loss": 0.6954, "lr": 8.0289502192041e-06, "epoch": 1.089171974522293, "percentage": 36.54, "elapsed_time": "0:18:19", "remaining_time": "0:31:49"}
58
+ {"current_steps": 58, "total_steps": 156, "loss": 0.7201, "lr": 7.938926261462366e-06, "epoch": 1.10828025477707, "percentage": 37.18, "elapsed_time": "0:18:34", "remaining_time": "0:31:23"}
59
+ {"current_steps": 59, "total_steps": 156, "loss": 0.7429, "lr": 7.84742246584226e-06, "epoch": 1.127388535031847, "percentage": 37.82, "elapsed_time": "0:18:45", "remaining_time": "0:30:51"}
60
+ {"current_steps": 60, "total_steps": 156, "loss": 0.7031, "lr": 7.754484907260513e-06, "epoch": 1.1464968152866242, "percentage": 38.46, "elapsed_time": "0:18:59", "remaining_time": "0:30:23"}
61
+ {"current_steps": 61, "total_steps": 156, "loss": 0.7004, "lr": 7.660160382576683e-06, "epoch": 1.1656050955414012, "percentage": 39.1, "elapsed_time": "0:19:20", "remaining_time": "0:30:06"}
62
+ {"current_steps": 62, "total_steps": 156, "loss": 0.7189, "lr": 7.564496387029532e-06, "epoch": 1.1847133757961783, "percentage": 39.74, "elapsed_time": "0:19:34", "remaining_time": "0:29:40"}
63
+ {"current_steps": 63, "total_steps": 156, "loss": 0.7075, "lr": 7.467541090321735e-06, "epoch": 1.2038216560509554, "percentage": 40.38, "elapsed_time": "0:19:49", "remaining_time": "0:29:16"}
64
+ {"current_steps": 64, "total_steps": 156, "loss": 0.7137, "lr": 7.369343312364994e-06, "epoch": 1.2229299363057324, "percentage": 41.03, "elapsed_time": "0:20:06", "remaining_time": "0:28:54"}
65
+ {"current_steps": 65, "total_steps": 156, "loss": 0.7145, "lr": 7.269952498697734e-06, "epoch": 1.2420382165605095, "percentage": 41.67, "elapsed_time": "0:20:27", "remaining_time": "0:28:38"}
66
+ {"current_steps": 66, "total_steps": 156, "loss": 0.7113, "lr": 7.169418695587791e-06, "epoch": 1.2611464968152866, "percentage": 42.31, "elapsed_time": "0:20:40", "remaining_time": "0:28:11"}
67
+ {"current_steps": 67, "total_steps": 156, "loss": 0.7053, "lr": 7.067792524832604e-06, "epoch": 1.2802547770700636, "percentage": 42.95, "elapsed_time": "0:21:06", "remaining_time": "0:28:02"}
68
+ {"current_steps": 68, "total_steps": 156, "loss": 0.7037, "lr": 6.965125158269619e-06, "epoch": 1.2993630573248407, "percentage": 43.59, "elapsed_time": "0:21:18", "remaining_time": "0:27:34"}
69
+ {"current_steps": 69, "total_steps": 156, "loss": 0.7267, "lr": 6.8614682920097265e-06, "epoch": 1.3184713375796178, "percentage": 44.23, "elapsed_time": "0:21:36", "remaining_time": "0:27:15"}
70
+ {"current_steps": 70, "total_steps": 156, "loss": 0.7474, "lr": 6.7568741204067145e-06, "epoch": 1.3375796178343948, "percentage": 44.87, "elapsed_time": "0:22:01", "remaining_time": "0:27:03"}
71
+ {"current_steps": 71, "total_steps": 156, "loss": 0.7328, "lr": 6.651395309775837e-06, "epoch": 1.356687898089172, "percentage": 45.51, "elapsed_time": "0:22:15", "remaining_time": "0:26:39"}
72
+ {"current_steps": 72, "total_steps": 156, "loss": 0.6917, "lr": 6.545084971874738e-06, "epoch": 1.3757961783439492, "percentage": 46.15, "elapsed_time": "0:22:37", "remaining_time": "0:26:24"}
73
+ {"current_steps": 73, "total_steps": 156, "loss": 0.6991, "lr": 6.437996637160086e-06, "epoch": 1.394904458598726, "percentage": 46.79, "elapsed_time": "0:22:52", "remaining_time": "0:26:00"}
74
+ {"current_steps": 74, "total_steps": 156, "loss": 0.6909, "lr": 6.330184227833376e-06, "epoch": 1.4140127388535033, "percentage": 47.44, "elapsed_time": "0:23:07", "remaining_time": "0:25:37"}
75
+ {"current_steps": 75, "total_steps": 156, "loss": 0.7098, "lr": 6.2217020306894705e-06, "epoch": 1.4331210191082802, "percentage": 48.08, "elapsed_time": "0:23:27", "remaining_time": "0:25:20"}
76
+ {"current_steps": 76, "total_steps": 156, "loss": 0.6726, "lr": 6.112604669781572e-06, "epoch": 1.4522292993630574, "percentage": 48.72, "elapsed_time": "0:23:51", "remaining_time": "0:25:07"}
77
+ {"current_steps": 77, "total_steps": 156, "loss": 0.7012, "lr": 6.002947078916365e-06, "epoch": 1.4713375796178343, "percentage": 49.36, "elapsed_time": "0:24:10", "remaining_time": "0:24:48"}
78
+ {"current_steps": 78, "total_steps": 156, "loss": 0.6638, "lr": 5.892784473993184e-06, "epoch": 1.4904458598726116, "percentage": 50.0, "elapsed_time": "0:24:25", "remaining_time": "0:24:25"}
79
+ {"current_steps": 79, "total_steps": 156, "loss": 0.6997, "lr": 5.782172325201155e-06, "epoch": 1.5095541401273884, "percentage": 50.64, "elapsed_time": "0:24:43", "remaining_time": "0:24:06"}
80
+ {"current_steps": 80, "total_steps": 156, "loss": 0.692, "lr": 5.671166329088278e-06, "epoch": 1.5286624203821657, "percentage": 51.28, "elapsed_time": "0:24:56", "remaining_time": "0:23:41"}
81
+ {"current_steps": 81, "total_steps": 156, "loss": 0.6929, "lr": 5.559822380516539e-06, "epoch": 1.5477707006369426, "percentage": 51.92, "elapsed_time": "0:25:12", "remaining_time": "0:23:20"}
82
+ {"current_steps": 82, "total_steps": 156, "loss": 0.7193, "lr": 5.448196544517168e-06, "epoch": 1.5668789808917198, "percentage": 52.56, "elapsed_time": "0:25:32", "remaining_time": "0:23:02"}
83
+ {"current_steps": 83, "total_steps": 156, "loss": 0.7338, "lr": 5.336345028060199e-06, "epoch": 1.5859872611464967, "percentage": 53.21, "elapsed_time": "0:25:50", "remaining_time": "0:22:43"}
84
+ {"current_steps": 84, "total_steps": 156, "loss": 0.7025, "lr": 5.224324151752575e-06, "epoch": 1.605095541401274, "percentage": 53.85, "elapsed_time": "0:26:03", "remaining_time": "0:22:20"}
85
+ {"current_steps": 85, "total_steps": 156, "loss": 0.7052, "lr": 5.112190321479026e-06, "epoch": 1.6242038216560508, "percentage": 54.49, "elapsed_time": "0:26:18", "remaining_time": "0:21:58"}
86
+ {"current_steps": 86, "total_steps": 156, "loss": 0.6931, "lr": 5e-06, "epoch": 1.643312101910828, "percentage": 55.13, "elapsed_time": "0:26:38", "remaining_time": "0:21:40"}
87
+ {"current_steps": 87, "total_steps": 156, "loss": 0.6833, "lr": 4.887809678520976e-06, "epoch": 1.662420382165605, "percentage": 55.77, "elapsed_time": "0:26:50", "remaining_time": "0:21:17"}
88
+ {"current_steps": 88, "total_steps": 156, "loss": 0.7073, "lr": 4.775675848247427e-06, "epoch": 1.6815286624203822, "percentage": 56.41, "elapsed_time": "0:27:05", "remaining_time": "0:20:55"}
89
+ {"current_steps": 89, "total_steps": 156, "loss": 0.7184, "lr": 4.663654971939802e-06, "epoch": 1.700636942675159, "percentage": 57.05, "elapsed_time": "0:27:22", "remaining_time": "0:20:36"}
90
+ {"current_steps": 90, "total_steps": 156, "loss": 0.7035, "lr": 4.551803455482833e-06, "epoch": 1.7197452229299364, "percentage": 57.69, "elapsed_time": "0:27:42", "remaining_time": "0:20:18"}
91
+ {"current_steps": 91, "total_steps": 156, "loss": 0.6988, "lr": 4.4401776194834615e-06, "epoch": 1.7388535031847132, "percentage": 58.33, "elapsed_time": "0:28:07", "remaining_time": "0:20:05"}
92
+ {"current_steps": 92, "total_steps": 156, "loss": 0.7121, "lr": 4.3288336709117246e-06, "epoch": 1.7579617834394905, "percentage": 58.97, "elapsed_time": "0:28:25", "remaining_time": "0:19:46"}
93
+ {"current_steps": 93, "total_steps": 156, "loss": 0.689, "lr": 4.217827674798845e-06, "epoch": 1.7770700636942676, "percentage": 59.62, "elapsed_time": "0:28:44", "remaining_time": "0:19:28"}
94
+ {"current_steps": 94, "total_steps": 156, "loss": 0.6857, "lr": 4.107215526006818e-06, "epoch": 1.7961783439490446, "percentage": 60.26, "elapsed_time": "0:29:01", "remaining_time": "0:19:08"}
95
+ {"current_steps": 95, "total_steps": 156, "loss": 0.6992, "lr": 3.997052921083637e-06, "epoch": 1.8152866242038217, "percentage": 60.9, "elapsed_time": "0:29:16", "remaining_time": "0:18:47"}
96
+ {"current_steps": 96, "total_steps": 156, "loss": 0.6848, "lr": 3.887395330218429e-06, "epoch": 1.8343949044585988, "percentage": 61.54, "elapsed_time": "0:29:37", "remaining_time": "0:18:31"}
97
+ {"current_steps": 97, "total_steps": 156, "loss": 0.6604, "lr": 3.778297969310529e-06, "epoch": 1.8535031847133758, "percentage": 62.18, "elapsed_time": "0:29:55", "remaining_time": "0:18:12"}
98
+ {"current_steps": 98, "total_steps": 156, "loss": 0.6961, "lr": 3.669815772166625e-06, "epoch": 1.872611464968153, "percentage": 62.82, "elapsed_time": "0:30:07", "remaining_time": "0:17:49"}
99
+ {"current_steps": 99, "total_steps": 156, "loss": 0.71, "lr": 3.562003362839914e-06, "epoch": 1.89171974522293, "percentage": 63.46, "elapsed_time": "0:30:27", "remaining_time": "0:17:31"}
100
+ {"current_steps": 100, "total_steps": 156, "loss": 0.6946, "lr": 3.4549150281252635e-06, "epoch": 1.910828025477707, "percentage": 64.1, "elapsed_time": "0:30:40", "remaining_time": "0:17:10"}
101
+ {"current_steps": 101, "total_steps": 156, "loss": 0.6786, "lr": 3.3486046902241663e-06, "epoch": 1.929936305732484, "percentage": 64.74, "elapsed_time": "0:31:02", "remaining_time": "0:16:54"}
102
+ {"current_steps": 102, "total_steps": 156, "loss": 0.699, "lr": 3.2431258795932863e-06, "epoch": 1.9490445859872612, "percentage": 65.38, "elapsed_time": "0:31:20", "remaining_time": "0:16:35"}
103
+ {"current_steps": 103, "total_steps": 156, "loss": 0.7014, "lr": 3.1385317079902743e-06, "epoch": 1.9681528662420382, "percentage": 66.03, "elapsed_time": "0:31:40", "remaining_time": "0:16:17"}
104
+ {"current_steps": 104, "total_steps": 156, "loss": 0.6903, "lr": 3.0348748417303826e-06, "epoch": 1.9872611464968153, "percentage": 66.67, "elapsed_time": "0:31:54", "remaining_time": "0:15:57"}
105
+ {"current_steps": 105, "total_steps": 156, "loss": 0.6627, "lr": 2.932207475167398e-06, "epoch": 2.0063694267515926, "percentage": 67.31, "elapsed_time": "0:32:41", "remaining_time": "0:15:52"}
106
+ {"current_steps": 106, "total_steps": 156, "loss": 0.6365, "lr": 2.83058130441221e-06, "epoch": 2.0254777070063694, "percentage": 67.95, "elapsed_time": "0:32:57", "remaining_time": "0:15:32"}
107
+ {"current_steps": 107, "total_steps": 156, "loss": 0.6299, "lr": 2.7300475013022666e-06, "epoch": 2.0445859872611467, "percentage": 68.59, "elapsed_time": "0:33:10", "remaining_time": "0:15:11"}
108
+ {"current_steps": 108, "total_steps": 156, "loss": 0.6289, "lr": 2.6306566876350072e-06, "epoch": 2.0636942675159236, "percentage": 69.23, "elapsed_time": "0:33:28", "remaining_time": "0:14:52"}
109
+ {"current_steps": 109, "total_steps": 156, "loss": 0.6208, "lr": 2.532458909678266e-06, "epoch": 2.082802547770701, "percentage": 69.87, "elapsed_time": "0:33:48", "remaining_time": "0:14:34"}
110
+ {"current_steps": 110, "total_steps": 156, "loss": 0.6027, "lr": 2.43550361297047e-06, "epoch": 2.1019108280254777, "percentage": 70.51, "elapsed_time": "0:34:07", "remaining_time": "0:14:16"}
111
+ {"current_steps": 111, "total_steps": 156, "loss": 0.6021, "lr": 2.339839617423318e-06, "epoch": 2.121019108280255, "percentage": 71.15, "elapsed_time": "0:34:29", "remaining_time": "0:13:58"}
112
+ {"current_steps": 112, "total_steps": 156, "loss": 0.6031, "lr": 2.245515092739488e-06, "epoch": 2.140127388535032, "percentage": 71.79, "elapsed_time": "0:34:41", "remaining_time": "0:13:37"}
113
+ {"current_steps": 113, "total_steps": 156, "loss": 0.6343, "lr": 2.1525775341577404e-06, "epoch": 2.159235668789809, "percentage": 72.44, "elapsed_time": "0:34:57", "remaining_time": "0:13:18"}
114
+ {"current_steps": 114, "total_steps": 156, "loss": 0.574, "lr": 2.061073738537635e-06, "epoch": 2.178343949044586, "percentage": 73.08, "elapsed_time": "0:35:11", "remaining_time": "0:12:57"}
115
+ {"current_steps": 115, "total_steps": 156, "loss": 0.6022, "lr": 1.971049780795901e-06, "epoch": 2.1974522292993632, "percentage": 73.72, "elapsed_time": "0:35:28", "remaining_time": "0:12:38"}
116
+ {"current_steps": 116, "total_steps": 156, "loss": 0.5928, "lr": 1.8825509907063328e-06, "epoch": 2.21656050955414, "percentage": 74.36, "elapsed_time": "0:35:44", "remaining_time": "0:12:19"}
117
+ {"current_steps": 117, "total_steps": 156, "loss": 0.607, "lr": 1.7956219300748796e-06, "epoch": 2.2356687898089174, "percentage": 75.0, "elapsed_time": "0:36:04", "remaining_time": "0:12:01"}
118
+ {"current_steps": 118, "total_steps": 156, "loss": 0.606, "lr": 1.7103063703014372e-06, "epoch": 2.254777070063694, "percentage": 75.64, "elapsed_time": "0:36:25", "remaining_time": "0:11:43"}
119
+ {"current_steps": 119, "total_steps": 156, "loss": 0.6023, "lr": 1.6266472703396286e-06, "epoch": 2.2738853503184715, "percentage": 76.28, "elapsed_time": "0:36:43", "remaining_time": "0:11:25"}
120
+ {"current_steps": 120, "total_steps": 156, "loss": 0.6034, "lr": 1.544686755065677e-06, "epoch": 2.2929936305732483, "percentage": 76.92, "elapsed_time": "0:36:58", "remaining_time": "0:11:05"}
121
+ {"current_steps": 121, "total_steps": 156, "loss": 0.5776, "lr": 1.4644660940672628e-06, "epoch": 2.3121019108280256, "percentage": 77.56, "elapsed_time": "0:37:19", "remaining_time": "0:10:47"}
122
+ {"current_steps": 122, "total_steps": 156, "loss": 0.5965, "lr": 1.3860256808630429e-06, "epoch": 2.3312101910828025, "percentage": 78.21, "elapsed_time": "0:37:40", "remaining_time": "0:10:30"}
123
+ {"current_steps": 123, "total_steps": 156, "loss": 0.6159, "lr": 1.3094050125632973e-06, "epoch": 2.3503184713375798, "percentage": 78.85, "elapsed_time": "0:37:59", "remaining_time": "0:10:11"}
124
+ {"current_steps": 124, "total_steps": 156, "loss": 0.6122, "lr": 1.234642669981946e-06, "epoch": 2.3694267515923566, "percentage": 79.49, "elapsed_time": "0:38:12", "remaining_time": "0:09:51"}
125
+ {"current_steps": 125, "total_steps": 156, "loss": 0.5929, "lr": 1.1617762982099446e-06, "epoch": 2.388535031847134, "percentage": 80.13, "elapsed_time": "0:38:29", "remaining_time": "0:09:32"}
126
+ {"current_steps": 126, "total_steps": 156, "loss": 0.5706, "lr": 1.0908425876598512e-06, "epoch": 2.4076433121019107, "percentage": 80.77, "elapsed_time": "0:38:53", "remaining_time": "0:09:15"}
127
+ {"current_steps": 127, "total_steps": 156, "loss": 0.6076, "lr": 1.0218772555910955e-06, "epoch": 2.426751592356688, "percentage": 81.41, "elapsed_time": "0:39:13", "remaining_time": "0:08:57"}
128
+ {"current_steps": 128, "total_steps": 156, "loss": 0.6054, "lr": 9.549150281252633e-07, "epoch": 2.445859872611465, "percentage": 82.05, "elapsed_time": "0:39:38", "remaining_time": "0:08:40"}
129
+ {"current_steps": 129, "total_steps": 156, "loss": 0.5989, "lr": 8.899896227604509e-07, "epoch": 2.464968152866242, "percentage": 82.69, "elapsed_time": "0:39:55", "remaining_time": "0:08:21"}
130
+ {"current_steps": 130, "total_steps": 156, "loss": 0.5972, "lr": 8.271337313934869e-07, "epoch": 2.484076433121019, "percentage": 83.33, "elapsed_time": "0:40:12", "remaining_time": "0:08:02"}
131
+ {"current_steps": 131, "total_steps": 156, "loss": 0.5954, "lr": 7.663790038585794e-07, "epoch": 2.5031847133757963, "percentage": 83.97, "elapsed_time": "0:40:31", "remaining_time": "0:07:43"}
132
+ {"current_steps": 132, "total_steps": 156, "loss": 0.6132, "lr": 7.077560319906696e-07, "epoch": 2.522292993630573, "percentage": 84.62, "elapsed_time": "0:40:53", "remaining_time": "0:07:26"}
133
+ {"current_steps": 133, "total_steps": 156, "loss": 0.6082, "lr": 6.512943342215234e-07, "epoch": 2.5414012738853504, "percentage": 85.26, "elapsed_time": "0:41:10", "remaining_time": "0:07:07"}
134
+ {"current_steps": 134, "total_steps": 156, "loss": 0.5908, "lr": 5.9702234071631e-07, "epoch": 2.5605095541401273, "percentage": 85.9, "elapsed_time": "0:41:25", "remaining_time": "0:06:48"}
135
+ {"current_steps": 135, "total_steps": 156, "loss": 0.6164, "lr": 5.449673790581611e-07, "epoch": 2.5796178343949046, "percentage": 86.54, "elapsed_time": "0:41:45", "remaining_time": "0:06:29"}
136
+ {"current_steps": 136, "total_steps": 156, "loss": 0.6123, "lr": 4.951556604879049e-07, "epoch": 2.5987261146496814, "percentage": 87.18, "elapsed_time": "0:42:01", "remaining_time": "0:06:10"}
137
+ {"current_steps": 137, "total_steps": 156, "loss": 0.601, "lr": 4.4761226670592074e-07, "epoch": 2.6178343949044587, "percentage": 87.82, "elapsed_time": "0:42:16", "remaining_time": "0:05:51"}
138
+ {"current_steps": 138, "total_steps": 156, "loss": 0.6018, "lr": 4.0236113724274716e-07, "epoch": 2.6369426751592355, "percentage": 88.46, "elapsed_time": "0:42:33", "remaining_time": "0:05:33"}
139
+ {"current_steps": 139, "total_steps": 156, "loss": 0.6081, "lr": 3.5942505740480583e-07, "epoch": 2.656050955414013, "percentage": 89.1, "elapsed_time": "0:42:50", "remaining_time": "0:05:14"}
140
+ {"current_steps": 140, "total_steps": 156, "loss": 0.5801, "lr": 3.18825646801314e-07, "epoch": 2.6751592356687897, "percentage": 89.74, "elapsed_time": "0:43:10", "remaining_time": "0:04:56"}
141
+ {"current_steps": 141, "total_steps": 156, "loss": 0.581, "lr": 2.8058334845816214e-07, "epoch": 2.694267515923567, "percentage": 90.38, "elapsed_time": "0:43:26", "remaining_time": "0:04:37"}
142
+ {"current_steps": 142, "total_steps": 156, "loss": 0.5949, "lr": 2.447174185242324e-07, "epoch": 2.713375796178344, "percentage": 91.03, "elapsed_time": "0:43:46", "remaining_time": "0:04:18"}
143
+ {"current_steps": 143, "total_steps": 156, "loss": 0.5946, "lr": 2.1124591657534776e-07, "epoch": 2.732484076433121, "percentage": 91.67, "elapsed_time": "0:44:04", "remaining_time": "0:04:00"}
144
+ {"current_steps": 144, "total_steps": 156, "loss": 0.6176, "lr": 1.801856965207338e-07, "epoch": 2.7515923566878984, "percentage": 92.31, "elapsed_time": "0:44:18", "remaining_time": "0:03:41"}
145
+ {"current_steps": 145, "total_steps": 156, "loss": 0.5866, "lr": 1.5155239811656562e-07, "epoch": 2.770700636942675, "percentage": 92.95, "elapsed_time": "0:44:33", "remaining_time": "0:03:22"}
146
+ {"current_steps": 146, "total_steps": 156, "loss": 0.5793, "lr": 1.253604390908819e-07, "epoch": 2.789808917197452, "percentage": 93.59, "elapsed_time": "0:44:47", "remaining_time": "0:03:04"}
147
+ {"current_steps": 147, "total_steps": 156, "loss": 0.5808, "lr": 1.0162300788382263e-07, "epoch": 2.8089171974522293, "percentage": 94.23, "elapsed_time": "0:45:01", "remaining_time": "0:02:45"}
148
+ {"current_steps": 148, "total_steps": 156, "loss": 0.586, "lr": 8.035205700685167e-08, "epoch": 2.8280254777070066, "percentage": 94.87, "elapsed_time": "0:45:19", "remaining_time": "0:02:27"}
149
+ {"current_steps": 149, "total_steps": 156, "loss": 0.5998, "lr": 6.15582970243117e-08, "epoch": 2.8471337579617835, "percentage": 95.51, "elapsed_time": "0:45:35", "remaining_time": "0:02:08"}
150
+ {"current_steps": 150, "total_steps": 156, "loss": 0.5839, "lr": 4.52511911603265e-08, "epoch": 2.8662420382165603, "percentage": 96.15, "elapsed_time": "0:45:53", "remaining_time": "0:01:50"}
151
+ {"current_steps": 151, "total_steps": 156, "loss": 0.6035, "lr": 3.143895053378698e-08, "epoch": 2.8853503184713376, "percentage": 96.79, "elapsed_time": "0:46:15", "remaining_time": "0:01:31"}
152
+ {"current_steps": 152, "total_steps": 156, "loss": 0.6129, "lr": 2.012853002380466e-08, "epoch": 2.904458598726115, "percentage": 97.44, "elapsed_time": "0:46:26", "remaining_time": "0:01:13"}
153
+ {"current_steps": 153, "total_steps": 156, "loss": 0.5796, "lr": 1.132562476771959e-08, "epoch": 2.9235668789808917, "percentage": 98.08, "elapsed_time": "0:46:44", "remaining_time": "0:00:54"}
154
+ {"current_steps": 154, "total_steps": 156, "loss": 0.574, "lr": 5.034667293427053e-09, "epoch": 2.9426751592356686, "percentage": 98.72, "elapsed_time": "0:47:01", "remaining_time": "0:00:36"}
155
+ {"current_steps": 155, "total_steps": 156, "loss": 0.5974, "lr": 1.2588252874673469e-09, "epoch": 2.961783439490446, "percentage": 99.36, "elapsed_time": "0:47:16", "remaining_time": "0:00:18"}
156
+ {"current_steps": 156, "total_steps": 156, "loss": 0.6357, "lr": 0.0, "epoch": 2.980891719745223, "percentage": 100.0, "elapsed_time": "0:47:28", "remaining_time": "0:00:00"}
157
+ {"current_steps": 156, "total_steps": 156, "epoch": 2.980891719745223, "percentage": 100.0, "elapsed_time": "0:48:26", "remaining_time": "0:00:00"}
trainer_state.json ADDED
@@ -0,0 +1,1134 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": null,
3
+ "best_model_checkpoint": null,
4
+ "epoch": 2.980891719745223,
5
+ "eval_steps": 500,
6
+ "global_step": 156,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.01910828025477707,
13
+ "grad_norm": 7.547975540161133,
14
+ "learning_rate": 6.25e-07,
15
+ "loss": 1.2512,
16
+ "step": 1
17
+ },
18
+ {
19
+ "epoch": 0.03821656050955414,
20
+ "grad_norm": 7.374826431274414,
21
+ "learning_rate": 1.25e-06,
22
+ "loss": 1.2318,
23
+ "step": 2
24
+ },
25
+ {
26
+ "epoch": 0.05732484076433121,
27
+ "grad_norm": 7.294417381286621,
28
+ "learning_rate": 1.8750000000000003e-06,
29
+ "loss": 1.2433,
30
+ "step": 3
31
+ },
32
+ {
33
+ "epoch": 0.07643312101910828,
34
+ "grad_norm": 7.174262523651123,
35
+ "learning_rate": 2.5e-06,
36
+ "loss": 1.2361,
37
+ "step": 4
38
+ },
39
+ {
40
+ "epoch": 0.09554140127388536,
41
+ "grad_norm": 6.600234031677246,
42
+ "learning_rate": 3.125e-06,
43
+ "loss": 1.2129,
44
+ "step": 5
45
+ },
46
+ {
47
+ "epoch": 0.11464968152866242,
48
+ "grad_norm": 4.914210796356201,
49
+ "learning_rate": 3.7500000000000005e-06,
50
+ "loss": 1.1534,
51
+ "step": 6
52
+ },
53
+ {
54
+ "epoch": 0.1337579617834395,
55
+ "grad_norm": 2.7489099502563477,
56
+ "learning_rate": 4.3750000000000005e-06,
57
+ "loss": 1.1355,
58
+ "step": 7
59
+ },
60
+ {
61
+ "epoch": 0.15286624203821655,
62
+ "grad_norm": 2.5778281688690186,
63
+ "learning_rate": 5e-06,
64
+ "loss": 1.0924,
65
+ "step": 8
66
+ },
67
+ {
68
+ "epoch": 0.17197452229299362,
69
+ "grad_norm": 4.604168891906738,
70
+ "learning_rate": 5.625e-06,
71
+ "loss": 1.0943,
72
+ "step": 9
73
+ },
74
+ {
75
+ "epoch": 0.1910828025477707,
76
+ "grad_norm": 4.840404987335205,
77
+ "learning_rate": 6.25e-06,
78
+ "loss": 1.0389,
79
+ "step": 10
80
+ },
81
+ {
82
+ "epoch": 0.21019108280254778,
83
+ "grad_norm": 4.339366436004639,
84
+ "learning_rate": 6.875e-06,
85
+ "loss": 1.0224,
86
+ "step": 11
87
+ },
88
+ {
89
+ "epoch": 0.22929936305732485,
90
+ "grad_norm": 3.31107234954834,
91
+ "learning_rate": 7.500000000000001e-06,
92
+ "loss": 1.0536,
93
+ "step": 12
94
+ },
95
+ {
96
+ "epoch": 0.2484076433121019,
97
+ "grad_norm": 3.4537413120269775,
98
+ "learning_rate": 8.125000000000001e-06,
99
+ "loss": 1.0143,
100
+ "step": 13
101
+ },
102
+ {
103
+ "epoch": 0.267515923566879,
104
+ "grad_norm": 2.662017345428467,
105
+ "learning_rate": 8.750000000000001e-06,
106
+ "loss": 0.9741,
107
+ "step": 14
108
+ },
109
+ {
110
+ "epoch": 0.28662420382165604,
111
+ "grad_norm": 2.157660722732544,
112
+ "learning_rate": 9.375000000000001e-06,
113
+ "loss": 0.9494,
114
+ "step": 15
115
+ },
116
+ {
117
+ "epoch": 0.3057324840764331,
118
+ "grad_norm": 2.1211636066436768,
119
+ "learning_rate": 1e-05,
120
+ "loss": 0.9275,
121
+ "step": 16
122
+ },
123
+ {
124
+ "epoch": 0.3248407643312102,
125
+ "grad_norm": 1.895501732826233,
126
+ "learning_rate": 9.998741174712534e-06,
127
+ "loss": 0.9178,
128
+ "step": 17
129
+ },
130
+ {
131
+ "epoch": 0.34394904458598724,
132
+ "grad_norm": 1.7070763111114502,
133
+ "learning_rate": 9.994965332706574e-06,
134
+ "loss": 0.8882,
135
+ "step": 18
136
+ },
137
+ {
138
+ "epoch": 0.3630573248407643,
139
+ "grad_norm": 1.585816502571106,
140
+ "learning_rate": 9.98867437523228e-06,
141
+ "loss": 0.8857,
142
+ "step": 19
143
+ },
144
+ {
145
+ "epoch": 0.3821656050955414,
146
+ "grad_norm": 1.6084542274475098,
147
+ "learning_rate": 9.979871469976197e-06,
148
+ "loss": 0.9158,
149
+ "step": 20
150
+ },
151
+ {
152
+ "epoch": 0.4012738853503185,
153
+ "grad_norm": 1.507398009300232,
154
+ "learning_rate": 9.968561049466214e-06,
155
+ "loss": 0.9254,
156
+ "step": 21
157
+ },
158
+ {
159
+ "epoch": 0.42038216560509556,
160
+ "grad_norm": 0.9898801445960999,
161
+ "learning_rate": 9.954748808839675e-06,
162
+ "loss": 0.9127,
163
+ "step": 22
164
+ },
165
+ {
166
+ "epoch": 0.4394904458598726,
167
+ "grad_norm": 0.9775479435920715,
168
+ "learning_rate": 9.938441702975689e-06,
169
+ "loss": 0.8819,
170
+ "step": 23
171
+ },
172
+ {
173
+ "epoch": 0.4585987261146497,
174
+ "grad_norm": 1.253936529159546,
175
+ "learning_rate": 9.91964794299315e-06,
176
+ "loss": 0.8983,
177
+ "step": 24
178
+ },
179
+ {
180
+ "epoch": 0.47770700636942676,
181
+ "grad_norm": 1.239895224571228,
182
+ "learning_rate": 9.898376992116179e-06,
183
+ "loss": 0.9112,
184
+ "step": 25
185
+ },
186
+ {
187
+ "epoch": 0.4968152866242038,
188
+ "grad_norm": 0.9475780129432678,
189
+ "learning_rate": 9.874639560909118e-06,
190
+ "loss": 0.8848,
191
+ "step": 26
192
+ },
193
+ {
194
+ "epoch": 0.5159235668789809,
195
+ "grad_norm": 1.0773193836212158,
196
+ "learning_rate": 9.848447601883436e-06,
197
+ "loss": 0.8977,
198
+ "step": 27
199
+ },
200
+ {
201
+ "epoch": 0.535031847133758,
202
+ "grad_norm": 1.1501091718673706,
203
+ "learning_rate": 9.819814303479268e-06,
204
+ "loss": 0.8912,
205
+ "step": 28
206
+ },
207
+ {
208
+ "epoch": 0.554140127388535,
209
+ "grad_norm": 0.9324758648872375,
210
+ "learning_rate": 9.788754083424654e-06,
211
+ "loss": 0.8851,
212
+ "step": 29
213
+ },
214
+ {
215
+ "epoch": 0.5732484076433121,
216
+ "grad_norm": 0.9901764988899231,
217
+ "learning_rate": 9.755282581475769e-06,
218
+ "loss": 0.8716,
219
+ "step": 30
220
+ },
221
+ {
222
+ "epoch": 0.5923566878980892,
223
+ "grad_norm": 1.0067858695983887,
224
+ "learning_rate": 9.719416651541839e-06,
225
+ "loss": 0.8603,
226
+ "step": 31
227
+ },
228
+ {
229
+ "epoch": 0.6114649681528662,
230
+ "grad_norm": 0.8844172358512878,
231
+ "learning_rate": 9.681174353198687e-06,
232
+ "loss": 0.8885,
233
+ "step": 32
234
+ },
235
+ {
236
+ "epoch": 0.6305732484076433,
237
+ "grad_norm": 1.0087534189224243,
238
+ "learning_rate": 9.640574942595195e-06,
239
+ "loss": 0.8426,
240
+ "step": 33
241
+ },
242
+ {
243
+ "epoch": 0.6496815286624203,
244
+ "grad_norm": 0.8578860759735107,
245
+ "learning_rate": 9.597638862757255e-06,
246
+ "loss": 0.8413,
247
+ "step": 34
248
+ },
249
+ {
250
+ "epoch": 0.6687898089171974,
251
+ "grad_norm": 0.8848086595535278,
252
+ "learning_rate": 9.552387733294081e-06,
253
+ "loss": 0.8398,
254
+ "step": 35
255
+ },
256
+ {
257
+ "epoch": 0.6878980891719745,
258
+ "grad_norm": 0.8705900311470032,
259
+ "learning_rate": 9.504844339512096e-06,
260
+ "loss": 0.8738,
261
+ "step": 36
262
+ },
263
+ {
264
+ "epoch": 0.7070063694267515,
265
+ "grad_norm": 0.8821431398391724,
266
+ "learning_rate": 9.45503262094184e-06,
267
+ "loss": 0.8632,
268
+ "step": 37
269
+ },
270
+ {
271
+ "epoch": 0.7261146496815286,
272
+ "grad_norm": 0.82889324426651,
273
+ "learning_rate": 9.40297765928369e-06,
274
+ "loss": 0.832,
275
+ "step": 38
276
+ },
277
+ {
278
+ "epoch": 0.7452229299363057,
279
+ "grad_norm": 0.8025405406951904,
280
+ "learning_rate": 9.348705665778479e-06,
281
+ "loss": 0.8392,
282
+ "step": 39
283
+ },
284
+ {
285
+ "epoch": 0.7643312101910829,
286
+ "grad_norm": 0.8777817487716675,
287
+ "learning_rate": 9.292243968009332e-06,
288
+ "loss": 0.8553,
289
+ "step": 40
290
+ },
291
+ {
292
+ "epoch": 0.7834394904458599,
293
+ "grad_norm": 0.7455444931983948,
294
+ "learning_rate": 9.233620996141421e-06,
295
+ "loss": 0.8169,
296
+ "step": 41
297
+ },
298
+ {
299
+ "epoch": 0.802547770700637,
300
+ "grad_norm": 0.7949671745300293,
301
+ "learning_rate": 9.172866268606514e-06,
302
+ "loss": 0.8268,
303
+ "step": 42
304
+ },
305
+ {
306
+ "epoch": 0.821656050955414,
307
+ "grad_norm": 0.8802870512008667,
308
+ "learning_rate": 9.110010377239552e-06,
309
+ "loss": 0.8662,
310
+ "step": 43
311
+ },
312
+ {
313
+ "epoch": 0.8407643312101911,
314
+ "grad_norm": 0.8528987765312195,
315
+ "learning_rate": 9.045084971874738e-06,
316
+ "loss": 0.8184,
317
+ "step": 44
318
+ },
319
+ {
320
+ "epoch": 0.8598726114649682,
321
+ "grad_norm": 0.8329055309295654,
322
+ "learning_rate": 8.978122744408905e-06,
323
+ "loss": 0.8376,
324
+ "step": 45
325
+ },
326
+ {
327
+ "epoch": 0.8789808917197452,
328
+ "grad_norm": 0.7796112895011902,
329
+ "learning_rate": 8.90915741234015e-06,
330
+ "loss": 0.8462,
331
+ "step": 46
332
+ },
333
+ {
334
+ "epoch": 0.8980891719745223,
335
+ "grad_norm": 0.8821595311164856,
336
+ "learning_rate": 8.838223701790057e-06,
337
+ "loss": 0.8462,
338
+ "step": 47
339
+ },
340
+ {
341
+ "epoch": 0.9171974522292994,
342
+ "grad_norm": 0.8074951171875,
343
+ "learning_rate": 8.765357330018056e-06,
344
+ "loss": 0.8161,
345
+ "step": 48
346
+ },
347
+ {
348
+ "epoch": 0.9363057324840764,
349
+ "grad_norm": 0.8599761724472046,
350
+ "learning_rate": 8.690594987436705e-06,
351
+ "loss": 0.8612,
352
+ "step": 49
353
+ },
354
+ {
355
+ "epoch": 0.9554140127388535,
356
+ "grad_norm": 0.8650784492492676,
357
+ "learning_rate": 8.613974319136959e-06,
358
+ "loss": 0.8474,
359
+ "step": 50
360
+ },
361
+ {
362
+ "epoch": 0.9745222929936306,
363
+ "grad_norm": 0.7465563416481018,
364
+ "learning_rate": 8.535533905932739e-06,
365
+ "loss": 0.8366,
366
+ "step": 51
367
+ },
368
+ {
369
+ "epoch": 0.9936305732484076,
370
+ "grad_norm": 0.8294474482536316,
371
+ "learning_rate": 8.455313244934324e-06,
372
+ "loss": 0.869,
373
+ "step": 52
374
+ },
375
+ {
376
+ "epoch": 1.0127388535031847,
377
+ "grad_norm": 0.8520503044128418,
378
+ "learning_rate": 8.373352729660373e-06,
379
+ "loss": 0.7792,
380
+ "step": 53
381
+ },
382
+ {
383
+ "epoch": 1.0318471337579618,
384
+ "grad_norm": 0.8020623326301575,
385
+ "learning_rate": 8.289693629698564e-06,
386
+ "loss": 0.7468,
387
+ "step": 54
388
+ },
389
+ {
390
+ "epoch": 1.0509554140127388,
391
+ "grad_norm": 0.7566718459129333,
392
+ "learning_rate": 8.204378069925121e-06,
393
+ "loss": 0.7348,
394
+ "step": 55
395
+ },
396
+ {
397
+ "epoch": 1.070063694267516,
398
+ "grad_norm": 0.7379488348960876,
399
+ "learning_rate": 8.117449009293668e-06,
400
+ "loss": 0.7509,
401
+ "step": 56
402
+ },
403
+ {
404
+ "epoch": 1.089171974522293,
405
+ "grad_norm": 0.6847801208496094,
406
+ "learning_rate": 8.0289502192041e-06,
407
+ "loss": 0.6954,
408
+ "step": 57
409
+ },
410
+ {
411
+ "epoch": 1.10828025477707,
412
+ "grad_norm": 0.784027636051178,
413
+ "learning_rate": 7.938926261462366e-06,
414
+ "loss": 0.7201,
415
+ "step": 58
416
+ },
417
+ {
418
+ "epoch": 1.127388535031847,
419
+ "grad_norm": 0.7846508622169495,
420
+ "learning_rate": 7.84742246584226e-06,
421
+ "loss": 0.7429,
422
+ "step": 59
423
+ },
424
+ {
425
+ "epoch": 1.1464968152866242,
426
+ "grad_norm": 0.764062225818634,
427
+ "learning_rate": 7.754484907260513e-06,
428
+ "loss": 0.7031,
429
+ "step": 60
430
+ },
431
+ {
432
+ "epoch": 1.1656050955414012,
433
+ "grad_norm": 0.7919678092002869,
434
+ "learning_rate": 7.660160382576683e-06,
435
+ "loss": 0.7004,
436
+ "step": 61
437
+ },
438
+ {
439
+ "epoch": 1.1847133757961783,
440
+ "grad_norm": 0.7915036678314209,
441
+ "learning_rate": 7.564496387029532e-06,
442
+ "loss": 0.7189,
443
+ "step": 62
444
+ },
445
+ {
446
+ "epoch": 1.2038216560509554,
447
+ "grad_norm": 0.7123846411705017,
448
+ "learning_rate": 7.467541090321735e-06,
449
+ "loss": 0.7075,
450
+ "step": 63
451
+ },
452
+ {
453
+ "epoch": 1.2229299363057324,
454
+ "grad_norm": 0.8034456372261047,
455
+ "learning_rate": 7.369343312364994e-06,
456
+ "loss": 0.7137,
457
+ "step": 64
458
+ },
459
+ {
460
+ "epoch": 1.2420382165605095,
461
+ "grad_norm": 0.7536247968673706,
462
+ "learning_rate": 7.269952498697734e-06,
463
+ "loss": 0.7145,
464
+ "step": 65
465
+ },
466
+ {
467
+ "epoch": 1.2611464968152866,
468
+ "grad_norm": 0.7744494080543518,
469
+ "learning_rate": 7.169418695587791e-06,
470
+ "loss": 0.7113,
471
+ "step": 66
472
+ },
473
+ {
474
+ "epoch": 1.2802547770700636,
475
+ "grad_norm": 0.7711228132247925,
476
+ "learning_rate": 7.067792524832604e-06,
477
+ "loss": 0.7053,
478
+ "step": 67
479
+ },
480
+ {
481
+ "epoch": 1.2993630573248407,
482
+ "grad_norm": 0.8071858882904053,
483
+ "learning_rate": 6.965125158269619e-06,
484
+ "loss": 0.7037,
485
+ "step": 68
486
+ },
487
+ {
488
+ "epoch": 1.3184713375796178,
489
+ "grad_norm": 0.780947744846344,
490
+ "learning_rate": 6.8614682920097265e-06,
491
+ "loss": 0.7267,
492
+ "step": 69
493
+ },
494
+ {
495
+ "epoch": 1.3375796178343948,
496
+ "grad_norm": 0.7653530240058899,
497
+ "learning_rate": 6.7568741204067145e-06,
498
+ "loss": 0.7474,
499
+ "step": 70
500
+ },
501
+ {
502
+ "epoch": 1.356687898089172,
503
+ "grad_norm": 0.7996588945388794,
504
+ "learning_rate": 6.651395309775837e-06,
505
+ "loss": 0.7328,
506
+ "step": 71
507
+ },
508
+ {
509
+ "epoch": 1.3757961783439492,
510
+ "grad_norm": 0.7123798131942749,
511
+ "learning_rate": 6.545084971874738e-06,
512
+ "loss": 0.6917,
513
+ "step": 72
514
+ },
515
+ {
516
+ "epoch": 1.394904458598726,
517
+ "grad_norm": 0.6633033156394958,
518
+ "learning_rate": 6.437996637160086e-06,
519
+ "loss": 0.6991,
520
+ "step": 73
521
+ },
522
+ {
523
+ "epoch": 1.4140127388535033,
524
+ "grad_norm": 0.8307355642318726,
525
+ "learning_rate": 6.330184227833376e-06,
526
+ "loss": 0.6909,
527
+ "step": 74
528
+ },
529
+ {
530
+ "epoch": 1.4331210191082802,
531
+ "grad_norm": 0.6795753240585327,
532
+ "learning_rate": 6.2217020306894705e-06,
533
+ "loss": 0.7098,
534
+ "step": 75
535
+ },
536
+ {
537
+ "epoch": 1.4522292993630574,
538
+ "grad_norm": 0.6153970956802368,
539
+ "learning_rate": 6.112604669781572e-06,
540
+ "loss": 0.6726,
541
+ "step": 76
542
+ },
543
+ {
544
+ "epoch": 1.4713375796178343,
545
+ "grad_norm": 0.7344216108322144,
546
+ "learning_rate": 6.002947078916365e-06,
547
+ "loss": 0.7012,
548
+ "step": 77
549
+ },
550
+ {
551
+ "epoch": 1.4904458598726116,
552
+ "grad_norm": 0.7123773097991943,
553
+ "learning_rate": 5.892784473993184e-06,
554
+ "loss": 0.6638,
555
+ "step": 78
556
+ },
557
+ {
558
+ "epoch": 1.5095541401273884,
559
+ "grad_norm": 0.7022320032119751,
560
+ "learning_rate": 5.782172325201155e-06,
561
+ "loss": 0.6997,
562
+ "step": 79
563
+ },
564
+ {
565
+ "epoch": 1.5286624203821657,
566
+ "grad_norm": 0.7084267139434814,
567
+ "learning_rate": 5.671166329088278e-06,
568
+ "loss": 0.692,
569
+ "step": 80
570
+ },
571
+ {
572
+ "epoch": 1.5477707006369426,
573
+ "grad_norm": 0.68487948179245,
574
+ "learning_rate": 5.559822380516539e-06,
575
+ "loss": 0.6929,
576
+ "step": 81
577
+ },
578
+ {
579
+ "epoch": 1.5668789808917198,
580
+ "grad_norm": 0.7181028723716736,
581
+ "learning_rate": 5.448196544517168e-06,
582
+ "loss": 0.7193,
583
+ "step": 82
584
+ },
585
+ {
586
+ "epoch": 1.5859872611464967,
587
+ "grad_norm": 0.7298808693885803,
588
+ "learning_rate": 5.336345028060199e-06,
589
+ "loss": 0.7338,
590
+ "step": 83
591
+ },
592
+ {
593
+ "epoch": 1.605095541401274,
594
+ "grad_norm": 0.6929397583007812,
595
+ "learning_rate": 5.224324151752575e-06,
596
+ "loss": 0.7025,
597
+ "step": 84
598
+ },
599
+ {
600
+ "epoch": 1.6242038216560508,
601
+ "grad_norm": 0.6811756491661072,
602
+ "learning_rate": 5.112190321479026e-06,
603
+ "loss": 0.7052,
604
+ "step": 85
605
+ },
606
+ {
607
+ "epoch": 1.643312101910828,
608
+ "grad_norm": 0.6826193332672119,
609
+ "learning_rate": 5e-06,
610
+ "loss": 0.6931,
611
+ "step": 86
612
+ },
613
+ {
614
+ "epoch": 1.662420382165605,
615
+ "grad_norm": 0.654704749584198,
616
+ "learning_rate": 4.887809678520976e-06,
617
+ "loss": 0.6833,
618
+ "step": 87
619
+ },
620
+ {
621
+ "epoch": 1.6815286624203822,
622
+ "grad_norm": 0.6750189065933228,
623
+ "learning_rate": 4.775675848247427e-06,
624
+ "loss": 0.7073,
625
+ "step": 88
626
+ },
627
+ {
628
+ "epoch": 1.700636942675159,
629
+ "grad_norm": 0.6871541142463684,
630
+ "learning_rate": 4.663654971939802e-06,
631
+ "loss": 0.7184,
632
+ "step": 89
633
+ },
634
+ {
635
+ "epoch": 1.7197452229299364,
636
+ "grad_norm": 0.6716470122337341,
637
+ "learning_rate": 4.551803455482833e-06,
638
+ "loss": 0.7035,
639
+ "step": 90
640
+ },
641
+ {
642
+ "epoch": 1.7388535031847132,
643
+ "grad_norm": 0.6717052459716797,
644
+ "learning_rate": 4.4401776194834615e-06,
645
+ "loss": 0.6988,
646
+ "step": 91
647
+ },
648
+ {
649
+ "epoch": 1.7579617834394905,
650
+ "grad_norm": 0.7127666473388672,
651
+ "learning_rate": 4.3288336709117246e-06,
652
+ "loss": 0.7121,
653
+ "step": 92
654
+ },
655
+ {
656
+ "epoch": 1.7770700636942676,
657
+ "grad_norm": 0.6773775219917297,
658
+ "learning_rate": 4.217827674798845e-06,
659
+ "loss": 0.689,
660
+ "step": 93
661
+ },
662
+ {
663
+ "epoch": 1.7961783439490446,
664
+ "grad_norm": 0.6683153510093689,
665
+ "learning_rate": 4.107215526006818e-06,
666
+ "loss": 0.6857,
667
+ "step": 94
668
+ },
669
+ {
670
+ "epoch": 1.8152866242038217,
671
+ "grad_norm": 0.6821578741073608,
672
+ "learning_rate": 3.997052921083637e-06,
673
+ "loss": 0.6992,
674
+ "step": 95
675
+ },
676
+ {
677
+ "epoch": 1.8343949044585988,
678
+ "grad_norm": 0.6637680530548096,
679
+ "learning_rate": 3.887395330218429e-06,
680
+ "loss": 0.6848,
681
+ "step": 96
682
+ },
683
+ {
684
+ "epoch": 1.8535031847133758,
685
+ "grad_norm": 0.6395952105522156,
686
+ "learning_rate": 3.778297969310529e-06,
687
+ "loss": 0.6604,
688
+ "step": 97
689
+ },
690
+ {
691
+ "epoch": 1.872611464968153,
692
+ "grad_norm": 0.6628071069717407,
693
+ "learning_rate": 3.669815772166625e-06,
694
+ "loss": 0.6961,
695
+ "step": 98
696
+ },
697
+ {
698
+ "epoch": 1.89171974522293,
699
+ "grad_norm": 0.6521620154380798,
700
+ "learning_rate": 3.562003362839914e-06,
701
+ "loss": 0.71,
702
+ "step": 99
703
+ },
704
+ {
705
+ "epoch": 1.910828025477707,
706
+ "grad_norm": 0.6818088889122009,
707
+ "learning_rate": 3.4549150281252635e-06,
708
+ "loss": 0.6946,
709
+ "step": 100
710
+ },
711
+ {
712
+ "epoch": 1.929936305732484,
713
+ "grad_norm": 0.6266446113586426,
714
+ "learning_rate": 3.3486046902241663e-06,
715
+ "loss": 0.6786,
716
+ "step": 101
717
+ },
718
+ {
719
+ "epoch": 1.9490445859872612,
720
+ "grad_norm": 0.6931262612342834,
721
+ "learning_rate": 3.2431258795932863e-06,
722
+ "loss": 0.699,
723
+ "step": 102
724
+ },
725
+ {
726
+ "epoch": 1.9681528662420382,
727
+ "grad_norm": 0.644861102104187,
728
+ "learning_rate": 3.1385317079902743e-06,
729
+ "loss": 0.7014,
730
+ "step": 103
731
+ },
732
+ {
733
+ "epoch": 1.9872611464968153,
734
+ "grad_norm": 0.67961186170578,
735
+ "learning_rate": 3.0348748417303826e-06,
736
+ "loss": 0.6903,
737
+ "step": 104
738
+ },
739
+ {
740
+ "epoch": 2.0063694267515926,
741
+ "grad_norm": 0.7411230802536011,
742
+ "learning_rate": 2.932207475167398e-06,
743
+ "loss": 0.6627,
744
+ "step": 105
745
+ },
746
+ {
747
+ "epoch": 2.0254777070063694,
748
+ "grad_norm": 0.7194402813911438,
749
+ "learning_rate": 2.83058130441221e-06,
750
+ "loss": 0.6365,
751
+ "step": 106
752
+ },
753
+ {
754
+ "epoch": 2.0445859872611467,
755
+ "grad_norm": 0.6588802933692932,
756
+ "learning_rate": 2.7300475013022666e-06,
757
+ "loss": 0.6299,
758
+ "step": 107
759
+ },
760
+ {
761
+ "epoch": 2.0636942675159236,
762
+ "grad_norm": 0.6904900074005127,
763
+ "learning_rate": 2.6306566876350072e-06,
764
+ "loss": 0.6289,
765
+ "step": 108
766
+ },
767
+ {
768
+ "epoch": 2.082802547770701,
769
+ "grad_norm": 0.6685463786125183,
770
+ "learning_rate": 2.532458909678266e-06,
771
+ "loss": 0.6208,
772
+ "step": 109
773
+ },
774
+ {
775
+ "epoch": 2.1019108280254777,
776
+ "grad_norm": 0.6020084023475647,
777
+ "learning_rate": 2.43550361297047e-06,
778
+ "loss": 0.6027,
779
+ "step": 110
780
+ },
781
+ {
782
+ "epoch": 2.121019108280255,
783
+ "grad_norm": 0.6874512434005737,
784
+ "learning_rate": 2.339839617423318e-06,
785
+ "loss": 0.6021,
786
+ "step": 111
787
+ },
788
+ {
789
+ "epoch": 2.140127388535032,
790
+ "grad_norm": 0.6943764090538025,
791
+ "learning_rate": 2.245515092739488e-06,
792
+ "loss": 0.6031,
793
+ "step": 112
794
+ },
795
+ {
796
+ "epoch": 2.159235668789809,
797
+ "grad_norm": 0.7539130449295044,
798
+ "learning_rate": 2.1525775341577404e-06,
799
+ "loss": 0.6343,
800
+ "step": 113
801
+ },
802
+ {
803
+ "epoch": 2.178343949044586,
804
+ "grad_norm": 0.64998459815979,
805
+ "learning_rate": 2.061073738537635e-06,
806
+ "loss": 0.574,
807
+ "step": 114
808
+ },
809
+ {
810
+ "epoch": 2.1974522292993632,
811
+ "grad_norm": 0.6652138829231262,
812
+ "learning_rate": 1.971049780795901e-06,
813
+ "loss": 0.6022,
814
+ "step": 115
815
+ },
816
+ {
817
+ "epoch": 2.21656050955414,
818
+ "grad_norm": 0.6873827576637268,
819
+ "learning_rate": 1.8825509907063328e-06,
820
+ "loss": 0.5928,
821
+ "step": 116
822
+ },
823
+ {
824
+ "epoch": 2.2356687898089174,
825
+ "grad_norm": 0.6433504819869995,
826
+ "learning_rate": 1.7956219300748796e-06,
827
+ "loss": 0.607,
828
+ "step": 117
829
+ },
830
+ {
831
+ "epoch": 2.254777070063694,
832
+ "grad_norm": 0.620965301990509,
833
+ "learning_rate": 1.7103063703014372e-06,
834
+ "loss": 0.606,
835
+ "step": 118
836
+ },
837
+ {
838
+ "epoch": 2.2738853503184715,
839
+ "grad_norm": 0.6539048552513123,
840
+ "learning_rate": 1.6266472703396286e-06,
841
+ "loss": 0.6023,
842
+ "step": 119
843
+ },
844
+ {
845
+ "epoch": 2.2929936305732483,
846
+ "grad_norm": 0.6151559948921204,
847
+ "learning_rate": 1.544686755065677e-06,
848
+ "loss": 0.6034,
849
+ "step": 120
850
+ },
851
+ {
852
+ "epoch": 2.3121019108280256,
853
+ "grad_norm": 0.636107325553894,
854
+ "learning_rate": 1.4644660940672628e-06,
855
+ "loss": 0.5776,
856
+ "step": 121
857
+ },
858
+ {
859
+ "epoch": 2.3312101910828025,
860
+ "grad_norm": 0.6516319513320923,
861
+ "learning_rate": 1.3860256808630429e-06,
862
+ "loss": 0.5965,
863
+ "step": 122
864
+ },
865
+ {
866
+ "epoch": 2.3503184713375798,
867
+ "grad_norm": 0.6334967613220215,
868
+ "learning_rate": 1.3094050125632973e-06,
869
+ "loss": 0.6159,
870
+ "step": 123
871
+ },
872
+ {
873
+ "epoch": 2.3694267515923566,
874
+ "grad_norm": 0.6599099636077881,
875
+ "learning_rate": 1.234642669981946e-06,
876
+ "loss": 0.6122,
877
+ "step": 124
878
+ },
879
+ {
880
+ "epoch": 2.388535031847134,
881
+ "grad_norm": 0.6333508491516113,
882
+ "learning_rate": 1.1617762982099446e-06,
883
+ "loss": 0.5929,
884
+ "step": 125
885
+ },
886
+ {
887
+ "epoch": 2.4076433121019107,
888
+ "grad_norm": 0.6153550148010254,
889
+ "learning_rate": 1.0908425876598512e-06,
890
+ "loss": 0.5706,
891
+ "step": 126
892
+ },
893
+ {
894
+ "epoch": 2.426751592356688,
895
+ "grad_norm": 0.6106190085411072,
896
+ "learning_rate": 1.0218772555910955e-06,
897
+ "loss": 0.6076,
898
+ "step": 127
899
+ },
900
+ {
901
+ "epoch": 2.445859872611465,
902
+ "grad_norm": 0.6668431162834167,
903
+ "learning_rate": 9.549150281252633e-07,
904
+ "loss": 0.6054,
905
+ "step": 128
906
+ },
907
+ {
908
+ "epoch": 2.464968152866242,
909
+ "grad_norm": 0.6144554615020752,
910
+ "learning_rate": 8.899896227604509e-07,
911
+ "loss": 0.5989,
912
+ "step": 129
913
+ },
914
+ {
915
+ "epoch": 2.484076433121019,
916
+ "grad_norm": 0.621407151222229,
917
+ "learning_rate": 8.271337313934869e-07,
918
+ "loss": 0.5972,
919
+ "step": 130
920
+ },
921
+ {
922
+ "epoch": 2.5031847133757963,
923
+ "grad_norm": 0.6157580614089966,
924
+ "learning_rate": 7.663790038585794e-07,
925
+ "loss": 0.5954,
926
+ "step": 131
927
+ },
928
+ {
929
+ "epoch": 2.522292993630573,
930
+ "grad_norm": 0.6083014607429504,
931
+ "learning_rate": 7.077560319906696e-07,
932
+ "loss": 0.6132,
933
+ "step": 132
934
+ },
935
+ {
936
+ "epoch": 2.5414012738853504,
937
+ "grad_norm": 0.5859634876251221,
938
+ "learning_rate": 6.512943342215234e-07,
939
+ "loss": 0.6082,
940
+ "step": 133
941
+ },
942
+ {
943
+ "epoch": 2.5605095541401273,
944
+ "grad_norm": 0.5937418341636658,
945
+ "learning_rate": 5.9702234071631e-07,
946
+ "loss": 0.5908,
947
+ "step": 134
948
+ },
949
+ {
950
+ "epoch": 2.5796178343949046,
951
+ "grad_norm": 0.604749321937561,
952
+ "learning_rate": 5.449673790581611e-07,
953
+ "loss": 0.6164,
954
+ "step": 135
955
+ },
956
+ {
957
+ "epoch": 2.5987261146496814,
958
+ "grad_norm": 0.599074125289917,
959
+ "learning_rate": 4.951556604879049e-07,
960
+ "loss": 0.6123,
961
+ "step": 136
962
+ },
963
+ {
964
+ "epoch": 2.6178343949044587,
965
+ "grad_norm": 0.6109683513641357,
966
+ "learning_rate": 4.4761226670592074e-07,
967
+ "loss": 0.601,
968
+ "step": 137
969
+ },
970
+ {
971
+ "epoch": 2.6369426751592355,
972
+ "grad_norm": 0.6154210567474365,
973
+ "learning_rate": 4.0236113724274716e-07,
974
+ "loss": 0.6018,
975
+ "step": 138
976
+ },
977
+ {
978
+ "epoch": 2.656050955414013,
979
+ "grad_norm": 0.6092813611030579,
980
+ "learning_rate": 3.5942505740480583e-07,
981
+ "loss": 0.6081,
982
+ "step": 139
983
+ },
984
+ {
985
+ "epoch": 2.6751592356687897,
986
+ "grad_norm": 0.6313538551330566,
987
+ "learning_rate": 3.18825646801314e-07,
988
+ "loss": 0.5801,
989
+ "step": 140
990
+ },
991
+ {
992
+ "epoch": 2.694267515923567,
993
+ "grad_norm": 0.5989095568656921,
994
+ "learning_rate": 2.8058334845816214e-07,
995
+ "loss": 0.581,
996
+ "step": 141
997
+ },
998
+ {
999
+ "epoch": 2.713375796178344,
1000
+ "grad_norm": 0.5897513628005981,
1001
+ "learning_rate": 2.447174185242324e-07,
1002
+ "loss": 0.5949,
1003
+ "step": 142
1004
+ },
1005
+ {
1006
+ "epoch": 2.732484076433121,
1007
+ "grad_norm": 0.6216192245483398,
1008
+ "learning_rate": 2.1124591657534776e-07,
1009
+ "loss": 0.5946,
1010
+ "step": 143
1011
+ },
1012
+ {
1013
+ "epoch": 2.7515923566878984,
1014
+ "grad_norm": 0.6057581901550293,
1015
+ "learning_rate": 1.801856965207338e-07,
1016
+ "loss": 0.6176,
1017
+ "step": 144
1018
+ },
1019
+ {
1020
+ "epoch": 2.770700636942675,
1021
+ "grad_norm": 0.5893821120262146,
1022
+ "learning_rate": 1.5155239811656562e-07,
1023
+ "loss": 0.5866,
1024
+ "step": 145
1025
+ },
1026
+ {
1027
+ "epoch": 2.789808917197452,
1028
+ "grad_norm": 0.5728128552436829,
1029
+ "learning_rate": 1.253604390908819e-07,
1030
+ "loss": 0.5793,
1031
+ "step": 146
1032
+ },
1033
+ {
1034
+ "epoch": 2.8089171974522293,
1035
+ "grad_norm": 0.5864872932434082,
1036
+ "learning_rate": 1.0162300788382263e-07,
1037
+ "loss": 0.5808,
1038
+ "step": 147
1039
+ },
1040
+ {
1041
+ "epoch": 2.8280254777070066,
1042
+ "grad_norm": 0.5862218737602234,
1043
+ "learning_rate": 8.035205700685167e-08,
1044
+ "loss": 0.586,
1045
+ "step": 148
1046
+ },
1047
+ {
1048
+ "epoch": 2.8471337579617835,
1049
+ "grad_norm": 0.6472737789154053,
1050
+ "learning_rate": 6.15582970243117e-08,
1051
+ "loss": 0.5998,
1052
+ "step": 149
1053
+ },
1054
+ {
1055
+ "epoch": 2.8662420382165603,
1056
+ "grad_norm": 0.576315701007843,
1057
+ "learning_rate": 4.52511911603265e-08,
1058
+ "loss": 0.5839,
1059
+ "step": 150
1060
+ },
1061
+ {
1062
+ "epoch": 2.8853503184713376,
1063
+ "grad_norm": 0.5896339416503906,
1064
+ "learning_rate": 3.143895053378698e-08,
1065
+ "loss": 0.6035,
1066
+ "step": 151
1067
+ },
1068
+ {
1069
+ "epoch": 2.904458598726115,
1070
+ "grad_norm": 0.6027177572250366,
1071
+ "learning_rate": 2.012853002380466e-08,
1072
+ "loss": 0.6129,
1073
+ "step": 152
1074
+ },
1075
+ {
1076
+ "epoch": 2.9235668789808917,
1077
+ "grad_norm": 0.5746337175369263,
1078
+ "learning_rate": 1.132562476771959e-08,
1079
+ "loss": 0.5796,
1080
+ "step": 153
1081
+ },
1082
+ {
1083
+ "epoch": 2.9426751592356686,
1084
+ "grad_norm": 0.5898021459579468,
1085
+ "learning_rate": 5.034667293427053e-09,
1086
+ "loss": 0.574,
1087
+ "step": 154
1088
+ },
1089
+ {
1090
+ "epoch": 2.961783439490446,
1091
+ "grad_norm": 0.6063404083251953,
1092
+ "learning_rate": 1.2588252874673469e-09,
1093
+ "loss": 0.5974,
1094
+ "step": 155
1095
+ },
1096
+ {
1097
+ "epoch": 2.980891719745223,
1098
+ "grad_norm": 0.6394419074058533,
1099
+ "learning_rate": 0.0,
1100
+ "loss": 0.6357,
1101
+ "step": 156
1102
+ },
1103
+ {
1104
+ "epoch": 2.980891719745223,
1105
+ "step": 156,
1106
+ "total_flos": 9.25222495000658e+16,
1107
+ "train_loss": 0.7492156773805618,
1108
+ "train_runtime": 2914.5015,
1109
+ "train_samples_per_second": 5.147,
1110
+ "train_steps_per_second": 0.054
1111
+ }
1112
+ ],
1113
+ "logging_steps": 1,
1114
+ "max_steps": 156,
1115
+ "num_input_tokens_seen": 0,
1116
+ "num_train_epochs": 3,
1117
+ "save_steps": 500,
1118
+ "stateful_callbacks": {
1119
+ "TrainerControl": {
1120
+ "args": {
1121
+ "should_epoch_stop": false,
1122
+ "should_evaluate": false,
1123
+ "should_log": false,
1124
+ "should_save": true,
1125
+ "should_training_stop": true
1126
+ },
1127
+ "attributes": {}
1128
+ }
1129
+ },
1130
+ "total_flos": 9.25222495000658e+16,
1131
+ "train_batch_size": 1,
1132
+ "trial_name": null,
1133
+ "trial_params": null
1134
+ }
training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:49452be0e71a071448104b223b6a5177fe1d9293ee8a02be430b2bcf197ac58d
3
+ size 7608
vocab.json ADDED
The diff for this file is too large to render. See raw diff