BoboboChen commited on
Commit
e5e6b20
·
verified ·
1 Parent(s): 382d01f

Add files using upload-large-folder tool

Browse files
.gitattributes CHANGED
@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
33
  *.zip filter=lfs diff=lfs merge=lfs -text
34
  *.zst filter=lfs diff=lfs merge=lfs -text
35
  *tfevents* filter=lfs diff=lfs merge=lfs -text
 
 
33
  *.zip filter=lfs diff=lfs merge=lfs -text
34
  *.zst filter=lfs diff=lfs merge=lfs -text
35
  *tfevents* filter=lfs diff=lfs merge=lfs -text
36
+ tokenizer.json filter=lfs diff=lfs merge=lfs -text
added_tokens.json ADDED
@@ -0,0 +1,24 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "</tool_call>": 151658,
3
+ "<tool_call>": 151657,
4
+ "<|box_end|>": 151649,
5
+ "<|box_start|>": 151648,
6
+ "<|endoftext|>": 151643,
7
+ "<|file_sep|>": 151664,
8
+ "<|fim_middle|>": 151660,
9
+ "<|fim_pad|>": 151662,
10
+ "<|fim_prefix|>": 151659,
11
+ "<|fim_suffix|>": 151661,
12
+ "<|im_end|>": 151645,
13
+ "<|im_start|>": 151644,
14
+ "<|image_pad|>": 151655,
15
+ "<|object_ref_end|>": 151647,
16
+ "<|object_ref_start|>": 151646,
17
+ "<|quad_end|>": 151651,
18
+ "<|quad_start|>": 151650,
19
+ "<|repo_name|>": 151663,
20
+ "<|video_pad|>": 151656,
21
+ "<|vision_end|>": 151653,
22
+ "<|vision_pad|>": 151654,
23
+ "<|vision_start|>": 151652
24
+ }
config.json ADDED
@@ -0,0 +1,29 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_name_or_path": "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": "4.48.2",
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": "4.48.2"
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:cd16e8f2a45f46cc98c3bb79773ffdc1b7db4957a72548a2447ff785d09e4d47
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:a50fc94ea48cfc71500565412206c0615e19406ad51b0f4f92dbfeb13ff9029f
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:ff1e641ea5e5a4cb88f77ed43f7be8ce187ba61a33211607f006227849e7aa9d
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:b6dc24147239bc8d160fa1b5610874033d0af1e360aaf43d916a194f8faeedef
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": "<|im_end|>",
19
+ "lstrip": false,
20
+ "normalized": false,
21
+ "rstrip": false,
22
+ "single_word": false
23
+ },
24
+ "pad_token": {
25
+ "content": "<|endoftext|>",
26
+ "lstrip": false,
27
+ "normalized": false,
28
+ "rstrip": false,
29
+ "single_word": false
30
+ }
31
+ }
tokenizer.json ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:9c5ae00e602b8860cbd784ba82a8aa14e8feecec692e7076590d014d7b7fdafa
3
+ size 11421896
tokenizer_config.json ADDED
@@ -0,0 +1,209 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "add_bos_token": false,
3
+ "add_prefix_space": false,
4
+ "added_tokens_decoder": {
5
+ "151643": {
6
+ "content": "<|endoftext|>",
7
+ "lstrip": false,
8
+ "normalized": false,
9
+ "rstrip": false,
10
+ "single_word": false,
11
+ "special": true
12
+ },
13
+ "151644": {
14
+ "content": "<|im_start|>",
15
+ "lstrip": false,
16
+ "normalized": false,
17
+ "rstrip": false,
18
+ "single_word": false,
19
+ "special": true
20
+ },
21
+ "151645": {
22
+ "content": "<|im_end|>",
23
+ "lstrip": false,
24
+ "normalized": false,
25
+ "rstrip": false,
26
+ "single_word": false,
27
+ "special": true
28
+ },
29
+ "151646": {
30
+ "content": "<|object_ref_start|>",
31
+ "lstrip": false,
32
+ "normalized": false,
33
+ "rstrip": false,
34
+ "single_word": false,
35
+ "special": true
36
+ },
37
+ "151647": {
38
+ "content": "<|object_ref_end|>",
39
+ "lstrip": false,
40
+ "normalized": false,
41
+ "rstrip": false,
42
+ "single_word": false,
43
+ "special": true
44
+ },
45
+ "151648": {
46
+ "content": "<|box_start|>",
47
+ "lstrip": false,
48
+ "normalized": false,
49
+ "rstrip": false,
50
+ "single_word": false,
51
+ "special": true
52
+ },
53
+ "151649": {
54
+ "content": "<|box_end|>",
55
+ "lstrip": false,
56
+ "normalized": false,
57
+ "rstrip": false,
58
+ "single_word": false,
59
+ "special": true
60
+ },
61
+ "151650": {
62
+ "content": "<|quad_start|>",
63
+ "lstrip": false,
64
+ "normalized": false,
65
+ "rstrip": false,
66
+ "single_word": false,
67
+ "special": true
68
+ },
69
+ "151651": {
70
+ "content": "<|quad_end|>",
71
+ "lstrip": false,
72
+ "normalized": false,
73
+ "rstrip": false,
74
+ "single_word": false,
75
+ "special": true
76
+ },
77
+ "151652": {
78
+ "content": "<|vision_start|>",
79
+ "lstrip": false,
80
+ "normalized": false,
81
+ "rstrip": false,
82
+ "single_word": false,
83
+ "special": true
84
+ },
85
+ "151653": {
86
+ "content": "<|vision_end|>",
87
+ "lstrip": false,
88
+ "normalized": false,
89
+ "rstrip": false,
90
+ "single_word": false,
91
+ "special": true
92
+ },
93
+ "151654": {
94
+ "content": "<|vision_pad|>",
95
+ "lstrip": false,
96
+ "normalized": false,
97
+ "rstrip": false,
98
+ "single_word": false,
99
+ "special": true
100
+ },
101
+ "151655": {
102
+ "content": "<|image_pad|>",
103
+ "lstrip": false,
104
+ "normalized": false,
105
+ "rstrip": false,
106
+ "single_word": false,
107
+ "special": true
108
+ },
109
+ "151656": {
110
+ "content": "<|video_pad|>",
111
+ "lstrip": false,
112
+ "normalized": false,
113
+ "rstrip": false,
114
+ "single_word": false,
115
+ "special": true
116
+ },
117
+ "151657": {
118
+ "content": "<tool_call>",
119
+ "lstrip": false,
120
+ "normalized": false,
121
+ "rstrip": false,
122
+ "single_word": false,
123
+ "special": false
124
+ },
125
+ "151658": {
126
+ "content": "</tool_call>",
127
+ "lstrip": false,
128
+ "normalized": false,
129
+ "rstrip": false,
130
+ "single_word": false,
131
+ "special": false
132
+ },
133
+ "151659": {
134
+ "content": "<|fim_prefix|>",
135
+ "lstrip": false,
136
+ "normalized": false,
137
+ "rstrip": false,
138
+ "single_word": false,
139
+ "special": false
140
+ },
141
+ "151660": {
142
+ "content": "<|fim_middle|>",
143
+ "lstrip": false,
144
+ "normalized": false,
145
+ "rstrip": false,
146
+ "single_word": false,
147
+ "special": false
148
+ },
149
+ "151661": {
150
+ "content": "<|fim_suffix|>",
151
+ "lstrip": false,
152
+ "normalized": false,
153
+ "rstrip": false,
154
+ "single_word": false,
155
+ "special": false
156
+ },
157
+ "151662": {
158
+ "content": "<|fim_pad|>",
159
+ "lstrip": false,
160
+ "normalized": false,
161
+ "rstrip": false,
162
+ "single_word": false,
163
+ "special": false
164
+ },
165
+ "151663": {
166
+ "content": "<|repo_name|>",
167
+ "lstrip": false,
168
+ "normalized": false,
169
+ "rstrip": false,
170
+ "single_word": false,
171
+ "special": false
172
+ },
173
+ "151664": {
174
+ "content": "<|file_sep|>",
175
+ "lstrip": false,
176
+ "normalized": false,
177
+ "rstrip": false,
178
+ "single_word": false,
179
+ "special": false
180
+ }
181
+ },
182
+ "additional_special_tokens": [
183
+ "<|im_start|>",
184
+ "<|im_end|>",
185
+ "<|object_ref_start|>",
186
+ "<|object_ref_end|>",
187
+ "<|box_start|>",
188
+ "<|box_end|>",
189
+ "<|quad_start|>",
190
+ "<|quad_end|>",
191
+ "<|vision_start|>",
192
+ "<|vision_end|>",
193
+ "<|vision_pad|>",
194
+ "<|image_pad|>",
195
+ "<|video_pad|>"
196
+ ],
197
+ "bos_token": null,
198
+ "chat_template": "{%- if tools %}\n {{- '<|im_start|>system\\n' }}\n {%- if messages[0]['role'] == 'system' %}\n {{- messages[0]['content'] }}\n {%- else %}\n {{- 'You are Qwen, created by Alibaba Cloud. You are a helpful assistant.' }}\n {%- endif %}\n {{- \"\\n\\n# Tools\\n\\nYou may call one or more functions to assist with the user query.\\n\\nYou are provided with function signatures within <tools></tools> XML tags:\\n<tools>\" }}\n {%- for tool in tools %}\n {{- \"\\n\" }}\n {{- tool | tojson }}\n {%- endfor %}\n {{- \"\\n</tools>\\n\\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\\n<tool_call>\\n{\\\"name\\\": <function-name>, \\\"arguments\\\": <args-json-object>}\\n</tool_call><|im_end|>\\n\" }}\n{%- else %}\n {%- if messages[0]['role'] == 'system' %}\n {{- '<|im_start|>system\\n' + messages[0]['content'] + '<|im_end|>\\n' }}\n {%- else %}\n {{- '<|im_start|>system\\nYou are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>\\n' }}\n {%- endif %}\n{%- endif %}\n{%- for message in messages %}\n {%- if (message.role == \"user\") or (message.role == \"system\" and not loop.first) or (message.role == \"assistant\" and not message.tool_calls) %}\n {{- '<|im_start|>' + message.role + '\\n' + message.content + '<|im_end|>' + '\\n' }}\n {%- elif message.role == \"assistant\" %}\n {{- '<|im_start|>' + message.role }}\n {%- if message.content %}\n {{- '\\n' + message.content }}\n {%- endif %}\n {%- for tool_call in message.tool_calls %}\n {%- if tool_call.function is defined %}\n {%- set tool_call = tool_call.function %}\n {%- endif %}\n {{- '\\n<tool_call>\\n{\"name\": \"' }}\n {{- tool_call.name }}\n {{- '\", \"arguments\": ' }}\n {{- tool_call.arguments | tojson }}\n {{- '}\\n</tool_call>' }}\n {%- endfor %}\n {{- '<|im_end|>\\n' }}\n {%- elif message.role == \"tool\" %}\n {%- if (loop.index0 == 0) or (messages[loop.index0 - 1].role != \"tool\") %}\n {{- '<|im_start|>user' }}\n {%- endif %}\n {{- '\\n<tool_response>\\n' }}\n {{- message.content }}\n {{- '\\n</tool_response>' }}\n {%- if loop.last or (messages[loop.index0 + 1].role != \"tool\") %}\n {{- '<|im_end|>\\n' }}\n {%- endif %}\n {%- endif %}\n{%- endfor %}\n{%- if add_generation_prompt %}\n {{- '<|im_start|>assistant\\n' }}\n{%- endif %}\n",
199
+ "clean_up_tokenization_spaces": false,
200
+ "eos_token": "<|im_end|>",
201
+ "errors": "replace",
202
+ "extra_special_tokens": {},
203
+ "model_max_length": 20000,
204
+ "pad_token": "<|endoftext|>",
205
+ "padding_side": "right",
206
+ "split_special_tokens": false,
207
+ "tokenizer_class": "Qwen2Tokenizer",
208
+ "unk_token": null
209
+ }
trainer_state.json ADDED
@@ -0,0 +1,3624 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": null,
3
+ "best_model_checkpoint": null,
4
+ "epoch": 5.97265625,
5
+ "eval_steps": 500,
6
+ "global_step": 513,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.01171875,
13
+ "grad_norm": 0.9319692850112915,
14
+ "learning_rate": 1.1764705882352942e-07,
15
+ "loss": 0.7028,
16
+ "step": 1
17
+ },
18
+ {
19
+ "epoch": 0.0234375,
20
+ "grad_norm": 0.9757155179977417,
21
+ "learning_rate": 2.3529411764705883e-07,
22
+ "loss": 0.7416,
23
+ "step": 2
24
+ },
25
+ {
26
+ "epoch": 0.03515625,
27
+ "grad_norm": 1.0889487266540527,
28
+ "learning_rate": 3.529411764705883e-07,
29
+ "loss": 0.8392,
30
+ "step": 3
31
+ },
32
+ {
33
+ "epoch": 0.046875,
34
+ "grad_norm": 1.0020272731781006,
35
+ "learning_rate": 4.7058823529411767e-07,
36
+ "loss": 0.7549,
37
+ "step": 4
38
+ },
39
+ {
40
+ "epoch": 0.05859375,
41
+ "grad_norm": 1.0064201354980469,
42
+ "learning_rate": 5.882352941176471e-07,
43
+ "loss": 0.802,
44
+ "step": 5
45
+ },
46
+ {
47
+ "epoch": 0.0703125,
48
+ "grad_norm": 0.9806166291236877,
49
+ "learning_rate": 7.058823529411766e-07,
50
+ "loss": 0.7754,
51
+ "step": 6
52
+ },
53
+ {
54
+ "epoch": 0.08203125,
55
+ "grad_norm": 0.9506519436836243,
56
+ "learning_rate": 8.235294117647059e-07,
57
+ "loss": 0.7591,
58
+ "step": 7
59
+ },
60
+ {
61
+ "epoch": 0.09375,
62
+ "grad_norm": 0.9138185977935791,
63
+ "learning_rate": 9.411764705882353e-07,
64
+ "loss": 0.7681,
65
+ "step": 8
66
+ },
67
+ {
68
+ "epoch": 0.10546875,
69
+ "grad_norm": 0.872790515422821,
70
+ "learning_rate": 1.0588235294117648e-06,
71
+ "loss": 0.7332,
72
+ "step": 9
73
+ },
74
+ {
75
+ "epoch": 0.1171875,
76
+ "grad_norm": 0.8308555483818054,
77
+ "learning_rate": 1.1764705882352942e-06,
78
+ "loss": 0.7991,
79
+ "step": 10
80
+ },
81
+ {
82
+ "epoch": 0.12890625,
83
+ "grad_norm": 0.7250374555587769,
84
+ "learning_rate": 1.2941176470588237e-06,
85
+ "loss": 0.6812,
86
+ "step": 11
87
+ },
88
+ {
89
+ "epoch": 0.140625,
90
+ "grad_norm": 0.6780915856361389,
91
+ "learning_rate": 1.4117647058823531e-06,
92
+ "loss": 0.7178,
93
+ "step": 12
94
+ },
95
+ {
96
+ "epoch": 0.15234375,
97
+ "grad_norm": 0.6684752702713013,
98
+ "learning_rate": 1.5294117647058826e-06,
99
+ "loss": 0.7335,
100
+ "step": 13
101
+ },
102
+ {
103
+ "epoch": 0.1640625,
104
+ "grad_norm": 0.48017001152038574,
105
+ "learning_rate": 1.6470588235294118e-06,
106
+ "loss": 0.7293,
107
+ "step": 14
108
+ },
109
+ {
110
+ "epoch": 0.17578125,
111
+ "grad_norm": 0.4176006317138672,
112
+ "learning_rate": 1.7647058823529414e-06,
113
+ "loss": 0.6453,
114
+ "step": 15
115
+ },
116
+ {
117
+ "epoch": 0.1875,
118
+ "grad_norm": 0.4581579566001892,
119
+ "learning_rate": 1.8823529411764707e-06,
120
+ "loss": 0.709,
121
+ "step": 16
122
+ },
123
+ {
124
+ "epoch": 0.19921875,
125
+ "grad_norm": 0.41040804982185364,
126
+ "learning_rate": 2.0000000000000003e-06,
127
+ "loss": 0.6965,
128
+ "step": 17
129
+ },
130
+ {
131
+ "epoch": 0.2109375,
132
+ "grad_norm": 0.38801896572113037,
133
+ "learning_rate": 2.1176470588235296e-06,
134
+ "loss": 0.7142,
135
+ "step": 18
136
+ },
137
+ {
138
+ "epoch": 0.22265625,
139
+ "grad_norm": 0.5587085485458374,
140
+ "learning_rate": 2.2352941176470592e-06,
141
+ "loss": 0.6624,
142
+ "step": 19
143
+ },
144
+ {
145
+ "epoch": 0.234375,
146
+ "grad_norm": 0.6821652054786682,
147
+ "learning_rate": 2.3529411764705885e-06,
148
+ "loss": 0.6708,
149
+ "step": 20
150
+ },
151
+ {
152
+ "epoch": 0.24609375,
153
+ "grad_norm": 0.7130780816078186,
154
+ "learning_rate": 2.470588235294118e-06,
155
+ "loss": 0.68,
156
+ "step": 21
157
+ },
158
+ {
159
+ "epoch": 0.2578125,
160
+ "grad_norm": 0.6799156069755554,
161
+ "learning_rate": 2.5882352941176473e-06,
162
+ "loss": 0.6069,
163
+ "step": 22
164
+ },
165
+ {
166
+ "epoch": 0.26953125,
167
+ "grad_norm": 0.6155521869659424,
168
+ "learning_rate": 2.7058823529411766e-06,
169
+ "loss": 0.6541,
170
+ "step": 23
171
+ },
172
+ {
173
+ "epoch": 0.28125,
174
+ "grad_norm": 0.5290796160697937,
175
+ "learning_rate": 2.8235294117647062e-06,
176
+ "loss": 0.6276,
177
+ "step": 24
178
+ },
179
+ {
180
+ "epoch": 0.29296875,
181
+ "grad_norm": 0.460702121257782,
182
+ "learning_rate": 2.9411764705882355e-06,
183
+ "loss": 0.6172,
184
+ "step": 25
185
+ },
186
+ {
187
+ "epoch": 0.3046875,
188
+ "grad_norm": 0.4080013334751129,
189
+ "learning_rate": 3.058823529411765e-06,
190
+ "loss": 0.609,
191
+ "step": 26
192
+ },
193
+ {
194
+ "epoch": 0.31640625,
195
+ "grad_norm": 0.32690924406051636,
196
+ "learning_rate": 3.1764705882352943e-06,
197
+ "loss": 0.585,
198
+ "step": 27
199
+ },
200
+ {
201
+ "epoch": 0.328125,
202
+ "grad_norm": 0.3010313808917999,
203
+ "learning_rate": 3.2941176470588236e-06,
204
+ "loss": 0.5684,
205
+ "step": 28
206
+ },
207
+ {
208
+ "epoch": 0.33984375,
209
+ "grad_norm": 0.30681392550468445,
210
+ "learning_rate": 3.4117647058823532e-06,
211
+ "loss": 0.6241,
212
+ "step": 29
213
+ },
214
+ {
215
+ "epoch": 0.3515625,
216
+ "grad_norm": 0.2821861505508423,
217
+ "learning_rate": 3.529411764705883e-06,
218
+ "loss": 0.5612,
219
+ "step": 30
220
+ },
221
+ {
222
+ "epoch": 0.36328125,
223
+ "grad_norm": 0.3114885985851288,
224
+ "learning_rate": 3.6470588235294117e-06,
225
+ "loss": 0.5777,
226
+ "step": 31
227
+ },
228
+ {
229
+ "epoch": 0.375,
230
+ "grad_norm": 0.2961554527282715,
231
+ "learning_rate": 3.7647058823529414e-06,
232
+ "loss": 0.6118,
233
+ "step": 32
234
+ },
235
+ {
236
+ "epoch": 0.38671875,
237
+ "grad_norm": 0.2794322371482849,
238
+ "learning_rate": 3.882352941176471e-06,
239
+ "loss": 0.5221,
240
+ "step": 33
241
+ },
242
+ {
243
+ "epoch": 0.3984375,
244
+ "grad_norm": 0.33694833517074585,
245
+ "learning_rate": 4.000000000000001e-06,
246
+ "loss": 0.5857,
247
+ "step": 34
248
+ },
249
+ {
250
+ "epoch": 0.41015625,
251
+ "grad_norm": 0.2691885530948639,
252
+ "learning_rate": 4.11764705882353e-06,
253
+ "loss": 0.6122,
254
+ "step": 35
255
+ },
256
+ {
257
+ "epoch": 0.421875,
258
+ "grad_norm": 0.2636789381504059,
259
+ "learning_rate": 4.235294117647059e-06,
260
+ "loss": 0.5355,
261
+ "step": 36
262
+ },
263
+ {
264
+ "epoch": 0.43359375,
265
+ "grad_norm": 0.25277385115623474,
266
+ "learning_rate": 4.352941176470588e-06,
267
+ "loss": 0.5373,
268
+ "step": 37
269
+ },
270
+ {
271
+ "epoch": 0.4453125,
272
+ "grad_norm": 0.2117689847946167,
273
+ "learning_rate": 4.4705882352941184e-06,
274
+ "loss": 0.5308,
275
+ "step": 38
276
+ },
277
+ {
278
+ "epoch": 0.45703125,
279
+ "grad_norm": 0.19506287574768066,
280
+ "learning_rate": 4.588235294117647e-06,
281
+ "loss": 0.5372,
282
+ "step": 39
283
+ },
284
+ {
285
+ "epoch": 0.46875,
286
+ "grad_norm": 0.21475745737552643,
287
+ "learning_rate": 4.705882352941177e-06,
288
+ "loss": 0.565,
289
+ "step": 40
290
+ },
291
+ {
292
+ "epoch": 0.48046875,
293
+ "grad_norm": 0.20359668135643005,
294
+ "learning_rate": 4.823529411764706e-06,
295
+ "loss": 0.5349,
296
+ "step": 41
297
+ },
298
+ {
299
+ "epoch": 0.4921875,
300
+ "grad_norm": 0.2028248906135559,
301
+ "learning_rate": 4.941176470588236e-06,
302
+ "loss": 0.5587,
303
+ "step": 42
304
+ },
305
+ {
306
+ "epoch": 0.50390625,
307
+ "grad_norm": 0.21315933763980865,
308
+ "learning_rate": 5.058823529411765e-06,
309
+ "loss": 0.542,
310
+ "step": 43
311
+ },
312
+ {
313
+ "epoch": 0.515625,
314
+ "grad_norm": 0.21315297484397888,
315
+ "learning_rate": 5.176470588235295e-06,
316
+ "loss": 0.5878,
317
+ "step": 44
318
+ },
319
+ {
320
+ "epoch": 0.52734375,
321
+ "grad_norm": 0.19848909974098206,
322
+ "learning_rate": 5.294117647058824e-06,
323
+ "loss": 0.5238,
324
+ "step": 45
325
+ },
326
+ {
327
+ "epoch": 0.5390625,
328
+ "grad_norm": 0.20311777293682098,
329
+ "learning_rate": 5.411764705882353e-06,
330
+ "loss": 0.548,
331
+ "step": 46
332
+ },
333
+ {
334
+ "epoch": 0.55078125,
335
+ "grad_norm": 0.18243664503097534,
336
+ "learning_rate": 5.529411764705883e-06,
337
+ "loss": 0.5282,
338
+ "step": 47
339
+ },
340
+ {
341
+ "epoch": 0.5625,
342
+ "grad_norm": 0.16974785923957825,
343
+ "learning_rate": 5.6470588235294125e-06,
344
+ "loss": 0.4836,
345
+ "step": 48
346
+ },
347
+ {
348
+ "epoch": 0.57421875,
349
+ "grad_norm": 0.1762179285287857,
350
+ "learning_rate": 5.764705882352941e-06,
351
+ "loss": 0.5304,
352
+ "step": 49
353
+ },
354
+ {
355
+ "epoch": 0.5859375,
356
+ "grad_norm": 0.20087581872940063,
357
+ "learning_rate": 5.882352941176471e-06,
358
+ "loss": 0.5317,
359
+ "step": 50
360
+ },
361
+ {
362
+ "epoch": 0.59765625,
363
+ "grad_norm": 0.1862439662218094,
364
+ "learning_rate": 6e-06,
365
+ "loss": 0.5536,
366
+ "step": 51
367
+ },
368
+ {
369
+ "epoch": 0.609375,
370
+ "grad_norm": 0.1928662210702896,
371
+ "learning_rate": 6.11764705882353e-06,
372
+ "loss": 0.4844,
373
+ "step": 52
374
+ },
375
+ {
376
+ "epoch": 0.62109375,
377
+ "grad_norm": 0.20256248116493225,
378
+ "learning_rate": 6.2352941176470595e-06,
379
+ "loss": 0.5428,
380
+ "step": 53
381
+ },
382
+ {
383
+ "epoch": 0.6328125,
384
+ "grad_norm": 0.2007371336221695,
385
+ "learning_rate": 6.352941176470589e-06,
386
+ "loss": 0.5225,
387
+ "step": 54
388
+ },
389
+ {
390
+ "epoch": 0.64453125,
391
+ "grad_norm": 0.16175827383995056,
392
+ "learning_rate": 6.470588235294119e-06,
393
+ "loss": 0.5137,
394
+ "step": 55
395
+ },
396
+ {
397
+ "epoch": 0.65625,
398
+ "grad_norm": 0.17586955428123474,
399
+ "learning_rate": 6.588235294117647e-06,
400
+ "loss": 0.5034,
401
+ "step": 56
402
+ },
403
+ {
404
+ "epoch": 0.66796875,
405
+ "grad_norm": 0.17159290611743927,
406
+ "learning_rate": 6.705882352941176e-06,
407
+ "loss": 0.5267,
408
+ "step": 57
409
+ },
410
+ {
411
+ "epoch": 0.6796875,
412
+ "grad_norm": 0.17129066586494446,
413
+ "learning_rate": 6.8235294117647065e-06,
414
+ "loss": 0.4634,
415
+ "step": 58
416
+ },
417
+ {
418
+ "epoch": 0.69140625,
419
+ "grad_norm": 0.14943340420722961,
420
+ "learning_rate": 6.941176470588236e-06,
421
+ "loss": 0.4749,
422
+ "step": 59
423
+ },
424
+ {
425
+ "epoch": 0.703125,
426
+ "grad_norm": 0.17984403669834137,
427
+ "learning_rate": 7.058823529411766e-06,
428
+ "loss": 0.5254,
429
+ "step": 60
430
+ },
431
+ {
432
+ "epoch": 0.71484375,
433
+ "grad_norm": 0.15619614720344543,
434
+ "learning_rate": 7.176470588235295e-06,
435
+ "loss": 0.4941,
436
+ "step": 61
437
+ },
438
+ {
439
+ "epoch": 0.7265625,
440
+ "grad_norm": 0.14417926967144012,
441
+ "learning_rate": 7.294117647058823e-06,
442
+ "loss": 0.4234,
443
+ "step": 62
444
+ },
445
+ {
446
+ "epoch": 0.73828125,
447
+ "grad_norm": 0.16936203837394714,
448
+ "learning_rate": 7.4117647058823535e-06,
449
+ "loss": 0.5016,
450
+ "step": 63
451
+ },
452
+ {
453
+ "epoch": 0.75,
454
+ "grad_norm": 0.17044682800769806,
455
+ "learning_rate": 7.529411764705883e-06,
456
+ "loss": 0.4817,
457
+ "step": 64
458
+ },
459
+ {
460
+ "epoch": 0.76171875,
461
+ "grad_norm": 0.1539342850446701,
462
+ "learning_rate": 7.647058823529411e-06,
463
+ "loss": 0.4804,
464
+ "step": 65
465
+ },
466
+ {
467
+ "epoch": 0.7734375,
468
+ "grad_norm": 0.15344035625457764,
469
+ "learning_rate": 7.764705882352941e-06,
470
+ "loss": 0.4875,
471
+ "step": 66
472
+ },
473
+ {
474
+ "epoch": 0.78515625,
475
+ "grad_norm": 0.15734320878982544,
476
+ "learning_rate": 7.882352941176471e-06,
477
+ "loss": 0.436,
478
+ "step": 67
479
+ },
480
+ {
481
+ "epoch": 0.796875,
482
+ "grad_norm": 0.17874149978160858,
483
+ "learning_rate": 8.000000000000001e-06,
484
+ "loss": 0.5315,
485
+ "step": 68
486
+ },
487
+ {
488
+ "epoch": 0.80859375,
489
+ "grad_norm": 0.18438568711280823,
490
+ "learning_rate": 8.11764705882353e-06,
491
+ "loss": 0.5206,
492
+ "step": 69
493
+ },
494
+ {
495
+ "epoch": 0.8203125,
496
+ "grad_norm": 0.16773667931556702,
497
+ "learning_rate": 8.23529411764706e-06,
498
+ "loss": 0.4604,
499
+ "step": 70
500
+ },
501
+ {
502
+ "epoch": 0.83203125,
503
+ "grad_norm": 0.146653413772583,
504
+ "learning_rate": 8.35294117647059e-06,
505
+ "loss": 0.4445,
506
+ "step": 71
507
+ },
508
+ {
509
+ "epoch": 0.84375,
510
+ "grad_norm": 0.1633101850748062,
511
+ "learning_rate": 8.470588235294118e-06,
512
+ "loss": 0.4741,
513
+ "step": 72
514
+ },
515
+ {
516
+ "epoch": 0.85546875,
517
+ "grad_norm": 0.1426013708114624,
518
+ "learning_rate": 8.588235294117647e-06,
519
+ "loss": 0.4447,
520
+ "step": 73
521
+ },
522
+ {
523
+ "epoch": 0.8671875,
524
+ "grad_norm": 0.19708958268165588,
525
+ "learning_rate": 8.705882352941177e-06,
526
+ "loss": 0.4915,
527
+ "step": 74
528
+ },
529
+ {
530
+ "epoch": 0.87890625,
531
+ "grad_norm": 0.13479125499725342,
532
+ "learning_rate": 8.823529411764707e-06,
533
+ "loss": 0.4302,
534
+ "step": 75
535
+ },
536
+ {
537
+ "epoch": 0.890625,
538
+ "grad_norm": 0.16112269461154938,
539
+ "learning_rate": 8.941176470588237e-06,
540
+ "loss": 0.4457,
541
+ "step": 76
542
+ },
543
+ {
544
+ "epoch": 0.90234375,
545
+ "grad_norm": 0.1683078110218048,
546
+ "learning_rate": 9.058823529411765e-06,
547
+ "loss": 0.4617,
548
+ "step": 77
549
+ },
550
+ {
551
+ "epoch": 0.9140625,
552
+ "grad_norm": 0.17289473116397858,
553
+ "learning_rate": 9.176470588235294e-06,
554
+ "loss": 0.4885,
555
+ "step": 78
556
+ },
557
+ {
558
+ "epoch": 0.92578125,
559
+ "grad_norm": 0.14186030626296997,
560
+ "learning_rate": 9.294117647058824e-06,
561
+ "loss": 0.4063,
562
+ "step": 79
563
+ },
564
+ {
565
+ "epoch": 0.9375,
566
+ "grad_norm": 0.17006702721118927,
567
+ "learning_rate": 9.411764705882354e-06,
568
+ "loss": 0.4684,
569
+ "step": 80
570
+ },
571
+ {
572
+ "epoch": 0.94921875,
573
+ "grad_norm": 0.16714246571063995,
574
+ "learning_rate": 9.529411764705882e-06,
575
+ "loss": 0.4416,
576
+ "step": 81
577
+ },
578
+ {
579
+ "epoch": 0.9609375,
580
+ "grad_norm": 0.1373886913061142,
581
+ "learning_rate": 9.647058823529412e-06,
582
+ "loss": 0.4677,
583
+ "step": 82
584
+ },
585
+ {
586
+ "epoch": 0.97265625,
587
+ "grad_norm": 0.15918415784835815,
588
+ "learning_rate": 9.764705882352942e-06,
589
+ "loss": 0.4479,
590
+ "step": 83
591
+ },
592
+ {
593
+ "epoch": 0.984375,
594
+ "grad_norm": 0.12358763813972473,
595
+ "learning_rate": 9.882352941176472e-06,
596
+ "loss": 0.4033,
597
+ "step": 84
598
+ },
599
+ {
600
+ "epoch": 0.99609375,
601
+ "grad_norm": 0.19624371826648712,
602
+ "learning_rate": 1e-05,
603
+ "loss": 0.4579,
604
+ "step": 85
605
+ },
606
+ {
607
+ "epoch": 1.0,
608
+ "grad_norm": 0.19624371826648712,
609
+ "learning_rate": 9.99995783847866e-06,
610
+ "loss": 0.4138,
611
+ "step": 86
612
+ },
613
+ {
614
+ "epoch": 1.01171875,
615
+ "grad_norm": 0.2939195930957794,
616
+ "learning_rate": 9.999831354625678e-06,
617
+ "loss": 0.3971,
618
+ "step": 87
619
+ },
620
+ {
621
+ "epoch": 1.0234375,
622
+ "grad_norm": 0.14151132106781006,
623
+ "learning_rate": 9.999620550574155e-06,
624
+ "loss": 0.4168,
625
+ "step": 88
626
+ },
627
+ {
628
+ "epoch": 1.03515625,
629
+ "grad_norm": 0.174483984708786,
630
+ "learning_rate": 9.999325429879215e-06,
631
+ "loss": 0.3952,
632
+ "step": 89
633
+ },
634
+ {
635
+ "epoch": 1.046875,
636
+ "grad_norm": 0.16392698884010315,
637
+ "learning_rate": 9.998945997517957e-06,
638
+ "loss": 0.4031,
639
+ "step": 90
640
+ },
641
+ {
642
+ "epoch": 1.05859375,
643
+ "grad_norm": 0.13462132215499878,
644
+ "learning_rate": 9.99848225988936e-06,
645
+ "loss": 0.3974,
646
+ "step": 91
647
+ },
648
+ {
649
+ "epoch": 1.0703125,
650
+ "grad_norm": 0.20017389953136444,
651
+ "learning_rate": 9.997934224814173e-06,
652
+ "loss": 0.4054,
653
+ "step": 92
654
+ },
655
+ {
656
+ "epoch": 1.08203125,
657
+ "grad_norm": 0.15260270237922668,
658
+ "learning_rate": 9.997301901534797e-06,
659
+ "loss": 0.43,
660
+ "step": 93
661
+ },
662
+ {
663
+ "epoch": 1.09375,
664
+ "grad_norm": 0.15193504095077515,
665
+ "learning_rate": 9.996585300715117e-06,
666
+ "loss": 0.3885,
667
+ "step": 94
668
+ },
669
+ {
670
+ "epoch": 1.10546875,
671
+ "grad_norm": 0.16993655264377594,
672
+ "learning_rate": 9.99578443444032e-06,
673
+ "loss": 0.4191,
674
+ "step": 95
675
+ },
676
+ {
677
+ "epoch": 1.1171875,
678
+ "grad_norm": 0.15632706880569458,
679
+ "learning_rate": 9.994899316216709e-06,
680
+ "loss": 0.3439,
681
+ "step": 96
682
+ },
683
+ {
684
+ "epoch": 1.12890625,
685
+ "grad_norm": 0.1436368227005005,
686
+ "learning_rate": 9.99392996097145e-06,
687
+ "loss": 0.3609,
688
+ "step": 97
689
+ },
690
+ {
691
+ "epoch": 1.140625,
692
+ "grad_norm": 0.14202651381492615,
693
+ "learning_rate": 9.992876385052346e-06,
694
+ "loss": 0.4133,
695
+ "step": 98
696
+ },
697
+ {
698
+ "epoch": 1.15234375,
699
+ "grad_norm": 0.17068006098270416,
700
+ "learning_rate": 9.991738606227537e-06,
701
+ "loss": 0.3775,
702
+ "step": 99
703
+ },
704
+ {
705
+ "epoch": 1.1640625,
706
+ "grad_norm": 0.15222977101802826,
707
+ "learning_rate": 9.990516643685222e-06,
708
+ "loss": 0.4191,
709
+ "step": 100
710
+ },
711
+ {
712
+ "epoch": 1.17578125,
713
+ "grad_norm": 0.1581757664680481,
714
+ "learning_rate": 9.989210518033316e-06,
715
+ "loss": 0.4098,
716
+ "step": 101
717
+ },
718
+ {
719
+ "epoch": 1.1875,
720
+ "grad_norm": 0.14198894798755646,
721
+ "learning_rate": 9.987820251299121e-06,
722
+ "loss": 0.4031,
723
+ "step": 102
724
+ },
725
+ {
726
+ "epoch": 1.19921875,
727
+ "grad_norm": 0.1587005853652954,
728
+ "learning_rate": 9.98634586692894e-06,
729
+ "loss": 0.3632,
730
+ "step": 103
731
+ },
732
+ {
733
+ "epoch": 1.2109375,
734
+ "grad_norm": 0.1380324512720108,
735
+ "learning_rate": 9.984787389787689e-06,
736
+ "loss": 0.4229,
737
+ "step": 104
738
+ },
739
+ {
740
+ "epoch": 1.22265625,
741
+ "grad_norm": 0.1664944589138031,
742
+ "learning_rate": 9.983144846158472e-06,
743
+ "loss": 0.3952,
744
+ "step": 105
745
+ },
746
+ {
747
+ "epoch": 1.234375,
748
+ "grad_norm": 0.15593458712100983,
749
+ "learning_rate": 9.981418263742148e-06,
750
+ "loss": 0.3657,
751
+ "step": 106
752
+ },
753
+ {
754
+ "epoch": 1.24609375,
755
+ "grad_norm": 0.14692318439483643,
756
+ "learning_rate": 9.979607671656852e-06,
757
+ "loss": 0.3777,
758
+ "step": 107
759
+ },
760
+ {
761
+ "epoch": 1.2578125,
762
+ "grad_norm": 0.19152411818504333,
763
+ "learning_rate": 9.97771310043751e-06,
764
+ "loss": 0.378,
765
+ "step": 108
766
+ },
767
+ {
768
+ "epoch": 1.26953125,
769
+ "grad_norm": 0.1495964378118515,
770
+ "learning_rate": 9.975734582035323e-06,
771
+ "loss": 0.3662,
772
+ "step": 109
773
+ },
774
+ {
775
+ "epoch": 1.28125,
776
+ "grad_norm": 0.14938651025295258,
777
+ "learning_rate": 9.973672149817232e-06,
778
+ "loss": 0.4197,
779
+ "step": 110
780
+ },
781
+ {
782
+ "epoch": 1.29296875,
783
+ "grad_norm": 0.15581446886062622,
784
+ "learning_rate": 9.971525838565348e-06,
785
+ "loss": 0.3804,
786
+ "step": 111
787
+ },
788
+ {
789
+ "epoch": 1.3046875,
790
+ "grad_norm": 0.14621272683143616,
791
+ "learning_rate": 9.96929568447637e-06,
792
+ "loss": 0.3372,
793
+ "step": 112
794
+ },
795
+ {
796
+ "epoch": 1.31640625,
797
+ "grad_norm": 0.14326448738574982,
798
+ "learning_rate": 9.966981725160972e-06,
799
+ "loss": 0.4092,
800
+ "step": 113
801
+ },
802
+ {
803
+ "epoch": 1.328125,
804
+ "grad_norm": 0.1629864126443863,
805
+ "learning_rate": 9.964583999643174e-06,
806
+ "loss": 0.3829,
807
+ "step": 114
808
+ },
809
+ {
810
+ "epoch": 1.33984375,
811
+ "grad_norm": 0.16448885202407837,
812
+ "learning_rate": 9.96210254835968e-06,
813
+ "loss": 0.3952,
814
+ "step": 115
815
+ },
816
+ {
817
+ "epoch": 1.3515625,
818
+ "grad_norm": 0.13906875252723694,
819
+ "learning_rate": 9.95953741315919e-06,
820
+ "loss": 0.3501,
821
+ "step": 116
822
+ },
823
+ {
824
+ "epoch": 1.36328125,
825
+ "grad_norm": 0.1344955563545227,
826
+ "learning_rate": 9.95688863730171e-06,
827
+ "loss": 0.4212,
828
+ "step": 117
829
+ },
830
+ {
831
+ "epoch": 1.375,
832
+ "grad_norm": 0.2054166942834854,
833
+ "learning_rate": 9.954156265457801e-06,
834
+ "loss": 0.4155,
835
+ "step": 118
836
+ },
837
+ {
838
+ "epoch": 1.38671875,
839
+ "grad_norm": 0.14791074395179749,
840
+ "learning_rate": 9.951340343707852e-06,
841
+ "loss": 0.4104,
842
+ "step": 119
843
+ },
844
+ {
845
+ "epoch": 1.3984375,
846
+ "grad_norm": 0.17642416059970856,
847
+ "learning_rate": 9.948440919541277e-06,
848
+ "loss": 0.3502,
849
+ "step": 120
850
+ },
851
+ {
852
+ "epoch": 1.41015625,
853
+ "grad_norm": 0.14525847136974335,
854
+ "learning_rate": 9.945458041855732e-06,
855
+ "loss": 0.383,
856
+ "step": 121
857
+ },
858
+ {
859
+ "epoch": 1.421875,
860
+ "grad_norm": 0.15956953167915344,
861
+ "learning_rate": 9.942391760956277e-06,
862
+ "loss": 0.3864,
863
+ "step": 122
864
+ },
865
+ {
866
+ "epoch": 1.43359375,
867
+ "grad_norm": 0.16518352925777435,
868
+ "learning_rate": 9.939242128554542e-06,
869
+ "loss": 0.4374,
870
+ "step": 123
871
+ },
872
+ {
873
+ "epoch": 1.4453125,
874
+ "grad_norm": 0.15952655673027039,
875
+ "learning_rate": 9.936009197767847e-06,
876
+ "loss": 0.3719,
877
+ "step": 124
878
+ },
879
+ {
880
+ "epoch": 1.45703125,
881
+ "grad_norm": 0.13431760668754578,
882
+ "learning_rate": 9.932693023118299e-06,
883
+ "loss": 0.3693,
884
+ "step": 125
885
+ },
886
+ {
887
+ "epoch": 1.46875,
888
+ "grad_norm": 0.15348534286022186,
889
+ "learning_rate": 9.929293660531889e-06,
890
+ "loss": 0.3708,
891
+ "step": 126
892
+ },
893
+ {
894
+ "epoch": 1.48046875,
895
+ "grad_norm": 0.1592601090669632,
896
+ "learning_rate": 9.925811167337533e-06,
897
+ "loss": 0.3598,
898
+ "step": 127
899
+ },
900
+ {
901
+ "epoch": 1.4921875,
902
+ "grad_norm": 0.16625793278217316,
903
+ "learning_rate": 9.922245602266119e-06,
904
+ "loss": 0.3548,
905
+ "step": 128
906
+ },
907
+ {
908
+ "epoch": 1.50390625,
909
+ "grad_norm": 0.16050715744495392,
910
+ "learning_rate": 9.918597025449505e-06,
911
+ "loss": 0.3732,
912
+ "step": 129
913
+ },
914
+ {
915
+ "epoch": 1.515625,
916
+ "grad_norm": 0.1567108929157257,
917
+ "learning_rate": 9.91486549841951e-06,
918
+ "loss": 0.3875,
919
+ "step": 130
920
+ },
921
+ {
922
+ "epoch": 1.52734375,
923
+ "grad_norm": 0.13900204002857208,
924
+ "learning_rate": 9.911051084106877e-06,
925
+ "loss": 0.3134,
926
+ "step": 131
927
+ },
928
+ {
929
+ "epoch": 1.5390625,
930
+ "grad_norm": 0.17397968471050262,
931
+ "learning_rate": 9.90715384684021e-06,
932
+ "loss": 0.3283,
933
+ "step": 132
934
+ },
935
+ {
936
+ "epoch": 1.55078125,
937
+ "grad_norm": 0.13944688439369202,
938
+ "learning_rate": 9.903173852344889e-06,
939
+ "loss": 0.3801,
940
+ "step": 133
941
+ },
942
+ {
943
+ "epoch": 1.5625,
944
+ "grad_norm": 0.1763840615749359,
945
+ "learning_rate": 9.899111167741966e-06,
946
+ "loss": 0.3426,
947
+ "step": 134
948
+ },
949
+ {
950
+ "epoch": 1.57421875,
951
+ "grad_norm": 0.15428921580314636,
952
+ "learning_rate": 9.894965861547023e-06,
953
+ "loss": 0.4046,
954
+ "step": 135
955
+ },
956
+ {
957
+ "epoch": 1.5859375,
958
+ "grad_norm": 0.18792587518692017,
959
+ "learning_rate": 9.890738003669029e-06,
960
+ "loss": 0.3948,
961
+ "step": 136
962
+ },
963
+ {
964
+ "epoch": 1.59765625,
965
+ "grad_norm": 0.14246441423892975,
966
+ "learning_rate": 9.88642766540915e-06,
967
+ "loss": 0.343,
968
+ "step": 137
969
+ },
970
+ {
971
+ "epoch": 1.609375,
972
+ "grad_norm": 0.14254647493362427,
973
+ "learning_rate": 9.882034919459556e-06,
974
+ "loss": 0.3908,
975
+ "step": 138
976
+ },
977
+ {
978
+ "epoch": 1.62109375,
979
+ "grad_norm": 0.15610483288764954,
980
+ "learning_rate": 9.877559839902185e-06,
981
+ "loss": 0.4127,
982
+ "step": 139
983
+ },
984
+ {
985
+ "epoch": 1.6328125,
986
+ "grad_norm": 0.14824527502059937,
987
+ "learning_rate": 9.873002502207502e-06,
988
+ "loss": 0.3469,
989
+ "step": 140
990
+ },
991
+ {
992
+ "epoch": 1.64453125,
993
+ "grad_norm": 0.13025063276290894,
994
+ "learning_rate": 9.868362983233226e-06,
995
+ "loss": 0.3467,
996
+ "step": 141
997
+ },
998
+ {
999
+ "epoch": 1.65625,
1000
+ "grad_norm": 0.12863893806934357,
1001
+ "learning_rate": 9.863641361223025e-06,
1002
+ "loss": 0.3441,
1003
+ "step": 142
1004
+ },
1005
+ {
1006
+ "epoch": 1.66796875,
1007
+ "grad_norm": 0.1754492223262787,
1008
+ "learning_rate": 9.858837715805207e-06,
1009
+ "loss": 0.3893,
1010
+ "step": 143
1011
+ },
1012
+ {
1013
+ "epoch": 1.6796875,
1014
+ "grad_norm": 0.14538809657096863,
1015
+ "learning_rate": 9.853952127991374e-06,
1016
+ "loss": 0.361,
1017
+ "step": 144
1018
+ },
1019
+ {
1020
+ "epoch": 1.69140625,
1021
+ "grad_norm": 0.13839296996593475,
1022
+ "learning_rate": 9.848984680175049e-06,
1023
+ "loss": 0.4422,
1024
+ "step": 145
1025
+ },
1026
+ {
1027
+ "epoch": 1.703125,
1028
+ "grad_norm": 0.16836000978946686,
1029
+ "learning_rate": 9.843935456130295e-06,
1030
+ "loss": 0.3741,
1031
+ "step": 146
1032
+ },
1033
+ {
1034
+ "epoch": 1.71484375,
1035
+ "grad_norm": 0.1621960699558258,
1036
+ "learning_rate": 9.8388045410103e-06,
1037
+ "loss": 0.4299,
1038
+ "step": 147
1039
+ },
1040
+ {
1041
+ "epoch": 1.7265625,
1042
+ "grad_norm": 0.15016399323940277,
1043
+ "learning_rate": 9.833592021345938e-06,
1044
+ "loss": 0.3613,
1045
+ "step": 148
1046
+ },
1047
+ {
1048
+ "epoch": 1.73828125,
1049
+ "grad_norm": 0.1778838336467743,
1050
+ "learning_rate": 9.828297985044314e-06,
1051
+ "loss": 0.4127,
1052
+ "step": 149
1053
+ },
1054
+ {
1055
+ "epoch": 1.75,
1056
+ "grad_norm": 0.20492997765541077,
1057
+ "learning_rate": 9.822922521387277e-06,
1058
+ "loss": 0.4566,
1059
+ "step": 150
1060
+ },
1061
+ {
1062
+ "epoch": 1.76171875,
1063
+ "grad_norm": 0.142822265625,
1064
+ "learning_rate": 9.817465721029916e-06,
1065
+ "loss": 0.3561,
1066
+ "step": 151
1067
+ },
1068
+ {
1069
+ "epoch": 1.7734375,
1070
+ "grad_norm": 0.15397801995277405,
1071
+ "learning_rate": 9.811927675999035e-06,
1072
+ "loss": 0.3854,
1073
+ "step": 152
1074
+ },
1075
+ {
1076
+ "epoch": 1.78515625,
1077
+ "grad_norm": 0.13618412613868713,
1078
+ "learning_rate": 9.806308479691595e-06,
1079
+ "loss": 0.3933,
1080
+ "step": 153
1081
+ },
1082
+ {
1083
+ "epoch": 1.796875,
1084
+ "grad_norm": 0.19063451886177063,
1085
+ "learning_rate": 9.800608226873143e-06,
1086
+ "loss": 0.382,
1087
+ "step": 154
1088
+ },
1089
+ {
1090
+ "epoch": 1.80859375,
1091
+ "grad_norm": 0.16610917448997498,
1092
+ "learning_rate": 9.794827013676206e-06,
1093
+ "loss": 0.402,
1094
+ "step": 155
1095
+ },
1096
+ {
1097
+ "epoch": 1.8203125,
1098
+ "grad_norm": 0.14735649526119232,
1099
+ "learning_rate": 9.788964937598688e-06,
1100
+ "loss": 0.3646,
1101
+ "step": 156
1102
+ },
1103
+ {
1104
+ "epoch": 1.83203125,
1105
+ "grad_norm": 0.1583123356103897,
1106
+ "learning_rate": 9.783022097502204e-06,
1107
+ "loss": 0.3519,
1108
+ "step": 157
1109
+ },
1110
+ {
1111
+ "epoch": 1.84375,
1112
+ "grad_norm": 0.14677587151527405,
1113
+ "learning_rate": 9.776998593610428e-06,
1114
+ "loss": 0.3739,
1115
+ "step": 158
1116
+ },
1117
+ {
1118
+ "epoch": 1.85546875,
1119
+ "grad_norm": 0.15498070418834686,
1120
+ "learning_rate": 9.770894527507393e-06,
1121
+ "loss": 0.344,
1122
+ "step": 159
1123
+ },
1124
+ {
1125
+ "epoch": 1.8671875,
1126
+ "grad_norm": 0.164178267121315,
1127
+ "learning_rate": 9.764710002135784e-06,
1128
+ "loss": 0.3701,
1129
+ "step": 160
1130
+ },
1131
+ {
1132
+ "epoch": 1.87890625,
1133
+ "grad_norm": 0.12638989090919495,
1134
+ "learning_rate": 9.7584451217952e-06,
1135
+ "loss": 0.3985,
1136
+ "step": 161
1137
+ },
1138
+ {
1139
+ "epoch": 1.890625,
1140
+ "grad_norm": 0.17551939189434052,
1141
+ "learning_rate": 9.752099992140401e-06,
1142
+ "loss": 0.367,
1143
+ "step": 162
1144
+ },
1145
+ {
1146
+ "epoch": 1.90234375,
1147
+ "grad_norm": 0.13494940102100372,
1148
+ "learning_rate": 9.745674720179507e-06,
1149
+ "loss": 0.345,
1150
+ "step": 163
1151
+ },
1152
+ {
1153
+ "epoch": 1.9140625,
1154
+ "grad_norm": 0.15139806270599365,
1155
+ "learning_rate": 9.739169414272219e-06,
1156
+ "loss": 0.3767,
1157
+ "step": 164
1158
+ },
1159
+ {
1160
+ "epoch": 1.92578125,
1161
+ "grad_norm": 0.16584157943725586,
1162
+ "learning_rate": 9.732584184127973e-06,
1163
+ "loss": 0.4002,
1164
+ "step": 165
1165
+ },
1166
+ {
1167
+ "epoch": 1.9375,
1168
+ "grad_norm": 0.14180031418800354,
1169
+ "learning_rate": 9.7259191408041e-06,
1170
+ "loss": 0.3494,
1171
+ "step": 166
1172
+ },
1173
+ {
1174
+ "epoch": 1.94921875,
1175
+ "grad_norm": 0.15869130194187164,
1176
+ "learning_rate": 9.719174396703941e-06,
1177
+ "loss": 0.3527,
1178
+ "step": 167
1179
+ },
1180
+ {
1181
+ "epoch": 1.9609375,
1182
+ "grad_norm": 0.15733729302883148,
1183
+ "learning_rate": 9.71235006557497e-06,
1184
+ "loss": 0.4277,
1185
+ "step": 168
1186
+ },
1187
+ {
1188
+ "epoch": 1.97265625,
1189
+ "grad_norm": 0.16619561612606049,
1190
+ "learning_rate": 9.705446262506858e-06,
1191
+ "loss": 0.398,
1192
+ "step": 169
1193
+ },
1194
+ {
1195
+ "epoch": 1.984375,
1196
+ "grad_norm": 0.156788632273674,
1197
+ "learning_rate": 9.698463103929542e-06,
1198
+ "loss": 0.4272,
1199
+ "step": 170
1200
+ },
1201
+ {
1202
+ "epoch": 1.99609375,
1203
+ "grad_norm": 0.17090734839439392,
1204
+ "learning_rate": 9.691400707611258e-06,
1205
+ "loss": 0.3683,
1206
+ "step": 171
1207
+ },
1208
+ {
1209
+ "epoch": 2.0,
1210
+ "grad_norm": 0.17090734839439392,
1211
+ "learning_rate": 9.684259192656554e-06,
1212
+ "loss": 0.3783,
1213
+ "step": 172
1214
+ },
1215
+ {
1216
+ "epoch": 2.01171875,
1217
+ "grad_norm": 0.269039511680603,
1218
+ "learning_rate": 9.677038679504285e-06,
1219
+ "loss": 0.3033,
1220
+ "step": 173
1221
+ },
1222
+ {
1223
+ "epoch": 2.0234375,
1224
+ "grad_norm": 0.18037453293800354,
1225
+ "learning_rate": 9.669739289925578e-06,
1226
+ "loss": 0.2647,
1227
+ "step": 174
1228
+ },
1229
+ {
1230
+ "epoch": 2.03515625,
1231
+ "grad_norm": 0.16502933204174042,
1232
+ "learning_rate": 9.66236114702178e-06,
1233
+ "loss": 0.2689,
1234
+ "step": 175
1235
+ },
1236
+ {
1237
+ "epoch": 2.046875,
1238
+ "grad_norm": 0.13461141288280487,
1239
+ "learning_rate": 9.654904375222384e-06,
1240
+ "loss": 0.299,
1241
+ "step": 176
1242
+ },
1243
+ {
1244
+ "epoch": 2.05859375,
1245
+ "grad_norm": 0.15441769361495972,
1246
+ "learning_rate": 9.647369100282928e-06,
1247
+ "loss": 0.2987,
1248
+ "step": 177
1249
+ },
1250
+ {
1251
+ "epoch": 2.0703125,
1252
+ "grad_norm": 0.22800779342651367,
1253
+ "learning_rate": 9.639755449282874e-06,
1254
+ "loss": 0.2801,
1255
+ "step": 178
1256
+ },
1257
+ {
1258
+ "epoch": 2.08203125,
1259
+ "grad_norm": 0.1886795461177826,
1260
+ "learning_rate": 9.632063550623465e-06,
1261
+ "loss": 0.264,
1262
+ "step": 179
1263
+ },
1264
+ {
1265
+ "epoch": 2.09375,
1266
+ "grad_norm": 0.16359379887580872,
1267
+ "learning_rate": 9.62429353402556e-06,
1268
+ "loss": 0.278,
1269
+ "step": 180
1270
+ },
1271
+ {
1272
+ "epoch": 2.10546875,
1273
+ "grad_norm": 0.1788463145494461,
1274
+ "learning_rate": 9.616445530527448e-06,
1275
+ "loss": 0.2813,
1276
+ "step": 181
1277
+ },
1278
+ {
1279
+ "epoch": 2.1171875,
1280
+ "grad_norm": 0.12653109431266785,
1281
+ "learning_rate": 9.608519672482635e-06,
1282
+ "loss": 0.2997,
1283
+ "step": 182
1284
+ },
1285
+ {
1286
+ "epoch": 2.12890625,
1287
+ "grad_norm": 0.20340153574943542,
1288
+ "learning_rate": 9.600516093557618e-06,
1289
+ "loss": 0.3049,
1290
+ "step": 183
1291
+ },
1292
+ {
1293
+ "epoch": 2.140625,
1294
+ "grad_norm": 0.1629520207643509,
1295
+ "learning_rate": 9.592434928729617e-06,
1296
+ "loss": 0.2765,
1297
+ "step": 184
1298
+ },
1299
+ {
1300
+ "epoch": 2.15234375,
1301
+ "grad_norm": 0.17957361042499542,
1302
+ "learning_rate": 9.584276314284316e-06,
1303
+ "loss": 0.281,
1304
+ "step": 185
1305
+ },
1306
+ {
1307
+ "epoch": 2.1640625,
1308
+ "grad_norm": 0.13229969143867493,
1309
+ "learning_rate": 9.576040387813553e-06,
1310
+ "loss": 0.2668,
1311
+ "step": 186
1312
+ },
1313
+ {
1314
+ "epoch": 2.17578125,
1315
+ "grad_norm": 0.19403038918972015,
1316
+ "learning_rate": 9.567727288213005e-06,
1317
+ "loss": 0.2529,
1318
+ "step": 187
1319
+ },
1320
+ {
1321
+ "epoch": 2.1875,
1322
+ "grad_norm": 0.1554100513458252,
1323
+ "learning_rate": 9.559337155679843e-06,
1324
+ "loss": 0.2756,
1325
+ "step": 188
1326
+ },
1327
+ {
1328
+ "epoch": 2.19921875,
1329
+ "grad_norm": 0.1644996702671051,
1330
+ "learning_rate": 9.550870131710366e-06,
1331
+ "loss": 0.2765,
1332
+ "step": 189
1333
+ },
1334
+ {
1335
+ "epoch": 2.2109375,
1336
+ "grad_norm": 0.16561852395534515,
1337
+ "learning_rate": 9.542326359097619e-06,
1338
+ "loss": 0.2834,
1339
+ "step": 190
1340
+ },
1341
+ {
1342
+ "epoch": 2.22265625,
1343
+ "grad_norm": 0.15680573880672455,
1344
+ "learning_rate": 9.533705981928984e-06,
1345
+ "loss": 0.2611,
1346
+ "step": 191
1347
+ },
1348
+ {
1349
+ "epoch": 2.234375,
1350
+ "grad_norm": 0.14902271330356598,
1351
+ "learning_rate": 9.525009145583746e-06,
1352
+ "loss": 0.2759,
1353
+ "step": 192
1354
+ },
1355
+ {
1356
+ "epoch": 2.24609375,
1357
+ "grad_norm": 0.1453092247247696,
1358
+ "learning_rate": 9.516235996730645e-06,
1359
+ "loss": 0.2453,
1360
+ "step": 193
1361
+ },
1362
+ {
1363
+ "epoch": 2.2578125,
1364
+ "grad_norm": 0.15511390566825867,
1365
+ "learning_rate": 9.507386683325404e-06,
1366
+ "loss": 0.2878,
1367
+ "step": 194
1368
+ },
1369
+ {
1370
+ "epoch": 2.26953125,
1371
+ "grad_norm": 0.146243616938591,
1372
+ "learning_rate": 9.498461354608228e-06,
1373
+ "loss": 0.2813,
1374
+ "step": 195
1375
+ },
1376
+ {
1377
+ "epoch": 2.28125,
1378
+ "grad_norm": 0.13351713120937347,
1379
+ "learning_rate": 9.489460161101291e-06,
1380
+ "loss": 0.2464,
1381
+ "step": 196
1382
+ },
1383
+ {
1384
+ "epoch": 2.29296875,
1385
+ "grad_norm": 0.12981724739074707,
1386
+ "learning_rate": 9.4803832546062e-06,
1387
+ "loss": 0.2364,
1388
+ "step": 197
1389
+ },
1390
+ {
1391
+ "epoch": 2.3046875,
1392
+ "grad_norm": 0.1395965814590454,
1393
+ "learning_rate": 9.471230788201429e-06,
1394
+ "loss": 0.2699,
1395
+ "step": 198
1396
+ },
1397
+ {
1398
+ "epoch": 2.31640625,
1399
+ "grad_norm": 0.13987243175506592,
1400
+ "learning_rate": 9.46200291623974e-06,
1401
+ "loss": 0.2634,
1402
+ "step": 199
1403
+ },
1404
+ {
1405
+ "epoch": 2.328125,
1406
+ "grad_norm": 0.17181117832660675,
1407
+ "learning_rate": 9.452699794345583e-06,
1408
+ "loss": 0.2501,
1409
+ "step": 200
1410
+ },
1411
+ {
1412
+ "epoch": 2.33984375,
1413
+ "grad_norm": 0.12983955442905426,
1414
+ "learning_rate": 9.443321579412465e-06,
1415
+ "loss": 0.2383,
1416
+ "step": 201
1417
+ },
1418
+ {
1419
+ "epoch": 2.3515625,
1420
+ "grad_norm": 0.17716065049171448,
1421
+ "learning_rate": 9.43386842960031e-06,
1422
+ "loss": 0.3096,
1423
+ "step": 202
1424
+ },
1425
+ {
1426
+ "epoch": 2.36328125,
1427
+ "grad_norm": 0.16192656755447388,
1428
+ "learning_rate": 9.42434050433279e-06,
1429
+ "loss": 0.2825,
1430
+ "step": 203
1431
+ },
1432
+ {
1433
+ "epoch": 2.375,
1434
+ "grad_norm": 0.1350512057542801,
1435
+ "learning_rate": 9.414737964294636e-06,
1436
+ "loss": 0.2301,
1437
+ "step": 204
1438
+ },
1439
+ {
1440
+ "epoch": 2.38671875,
1441
+ "grad_norm": 0.1251179575920105,
1442
+ "learning_rate": 9.405060971428924e-06,
1443
+ "loss": 0.2682,
1444
+ "step": 205
1445
+ },
1446
+ {
1447
+ "epoch": 2.3984375,
1448
+ "grad_norm": 0.13068172335624695,
1449
+ "learning_rate": 9.39530968893435e-06,
1450
+ "loss": 0.3303,
1451
+ "step": 206
1452
+ },
1453
+ {
1454
+ "epoch": 2.41015625,
1455
+ "grad_norm": 0.16019192337989807,
1456
+ "learning_rate": 9.38548428126248e-06,
1457
+ "loss": 0.2651,
1458
+ "step": 207
1459
+ },
1460
+ {
1461
+ "epoch": 2.421875,
1462
+ "grad_norm": 0.14367878437042236,
1463
+ "learning_rate": 9.375584914114963e-06,
1464
+ "loss": 0.2712,
1465
+ "step": 208
1466
+ },
1467
+ {
1468
+ "epoch": 2.43359375,
1469
+ "grad_norm": 0.14105841517448425,
1470
+ "learning_rate": 9.365611754440756e-06,
1471
+ "loss": 0.2541,
1472
+ "step": 209
1473
+ },
1474
+ {
1475
+ "epoch": 2.4453125,
1476
+ "grad_norm": 0.14219817519187927,
1477
+ "learning_rate": 9.355564970433288e-06,
1478
+ "loss": 0.2874,
1479
+ "step": 210
1480
+ },
1481
+ {
1482
+ "epoch": 2.45703125,
1483
+ "grad_norm": 0.14144977927207947,
1484
+ "learning_rate": 9.345444731527642e-06,
1485
+ "loss": 0.255,
1486
+ "step": 211
1487
+ },
1488
+ {
1489
+ "epoch": 2.46875,
1490
+ "grad_norm": 0.16394628584384918,
1491
+ "learning_rate": 9.335251208397684e-06,
1492
+ "loss": 0.2946,
1493
+ "step": 212
1494
+ },
1495
+ {
1496
+ "epoch": 2.48046875,
1497
+ "grad_norm": 0.1422003209590912,
1498
+ "learning_rate": 9.32498457295319e-06,
1499
+ "loss": 0.275,
1500
+ "step": 213
1501
+ },
1502
+ {
1503
+ "epoch": 2.4921875,
1504
+ "grad_norm": 0.153361514210701,
1505
+ "learning_rate": 9.31464499833695e-06,
1506
+ "loss": 0.2695,
1507
+ "step": 214
1508
+ },
1509
+ {
1510
+ "epoch": 2.50390625,
1511
+ "grad_norm": 0.13666994869709015,
1512
+ "learning_rate": 9.30423265892184e-06,
1513
+ "loss": 0.2708,
1514
+ "step": 215
1515
+ },
1516
+ {
1517
+ "epoch": 2.515625,
1518
+ "grad_norm": 0.13980181515216827,
1519
+ "learning_rate": 9.29374773030789e-06,
1520
+ "loss": 0.3132,
1521
+ "step": 216
1522
+ },
1523
+ {
1524
+ "epoch": 2.52734375,
1525
+ "grad_norm": 0.1572592854499817,
1526
+ "learning_rate": 9.283190389319315e-06,
1527
+ "loss": 0.2802,
1528
+ "step": 217
1529
+ },
1530
+ {
1531
+ "epoch": 2.5390625,
1532
+ "grad_norm": 0.12849898636341095,
1533
+ "learning_rate": 9.27256081400154e-06,
1534
+ "loss": 0.2813,
1535
+ "step": 218
1536
+ },
1537
+ {
1538
+ "epoch": 2.55078125,
1539
+ "grad_norm": 0.14952799677848816,
1540
+ "learning_rate": 9.26185918361819e-06,
1541
+ "loss": 0.2662,
1542
+ "step": 219
1543
+ },
1544
+ {
1545
+ "epoch": 2.5625,
1546
+ "grad_norm": 0.1414070427417755,
1547
+ "learning_rate": 9.251085678648072e-06,
1548
+ "loss": 0.2833,
1549
+ "step": 220
1550
+ },
1551
+ {
1552
+ "epoch": 2.57421875,
1553
+ "grad_norm": 0.14631874859333038,
1554
+ "learning_rate": 9.24024048078213e-06,
1555
+ "loss": 0.2645,
1556
+ "step": 221
1557
+ },
1558
+ {
1559
+ "epoch": 2.5859375,
1560
+ "grad_norm": 0.16351047158241272,
1561
+ "learning_rate": 9.229323772920383e-06,
1562
+ "loss": 0.2563,
1563
+ "step": 222
1564
+ },
1565
+ {
1566
+ "epoch": 2.59765625,
1567
+ "grad_norm": 0.1420244574546814,
1568
+ "learning_rate": 9.218335739168833e-06,
1569
+ "loss": 0.3132,
1570
+ "step": 223
1571
+ },
1572
+ {
1573
+ "epoch": 2.609375,
1574
+ "grad_norm": 0.16125503182411194,
1575
+ "learning_rate": 9.207276564836367e-06,
1576
+ "loss": 0.2533,
1577
+ "step": 224
1578
+ },
1579
+ {
1580
+ "epoch": 2.62109375,
1581
+ "grad_norm": 0.16347342729568481,
1582
+ "learning_rate": 9.196146436431635e-06,
1583
+ "loss": 0.2884,
1584
+ "step": 225
1585
+ },
1586
+ {
1587
+ "epoch": 2.6328125,
1588
+ "grad_norm": 0.15693005919456482,
1589
+ "learning_rate": 9.18494554165989e-06,
1590
+ "loss": 0.2644,
1591
+ "step": 226
1592
+ },
1593
+ {
1594
+ "epoch": 2.64453125,
1595
+ "grad_norm": 0.15239854156970978,
1596
+ "learning_rate": 9.173674069419843e-06,
1597
+ "loss": 0.259,
1598
+ "step": 227
1599
+ },
1600
+ {
1601
+ "epoch": 2.65625,
1602
+ "grad_norm": 0.14987824857234955,
1603
+ "learning_rate": 9.162332209800455e-06,
1604
+ "loss": 0.2792,
1605
+ "step": 228
1606
+ },
1607
+ {
1608
+ "epoch": 2.66796875,
1609
+ "grad_norm": 0.14547227323055267,
1610
+ "learning_rate": 9.150920154077753e-06,
1611
+ "loss": 0.2663,
1612
+ "step": 229
1613
+ },
1614
+ {
1615
+ "epoch": 2.6796875,
1616
+ "grad_norm": 0.15145206451416016,
1617
+ "learning_rate": 9.13943809471159e-06,
1618
+ "loss": 0.2885,
1619
+ "step": 230
1620
+ },
1621
+ {
1622
+ "epoch": 2.69140625,
1623
+ "grad_norm": 0.17260988056659698,
1624
+ "learning_rate": 9.1278862253424e-06,
1625
+ "loss": 0.3377,
1626
+ "step": 231
1627
+ },
1628
+ {
1629
+ "epoch": 2.703125,
1630
+ "grad_norm": 0.1483244150876999,
1631
+ "learning_rate": 9.116264740787937e-06,
1632
+ "loss": 0.2742,
1633
+ "step": 232
1634
+ },
1635
+ {
1636
+ "epoch": 2.71484375,
1637
+ "grad_norm": 0.13184918463230133,
1638
+ "learning_rate": 9.104573837039992e-06,
1639
+ "loss": 0.2746,
1640
+ "step": 233
1641
+ },
1642
+ {
1643
+ "epoch": 2.7265625,
1644
+ "grad_norm": 0.14674793183803558,
1645
+ "learning_rate": 9.092813711261075e-06,
1646
+ "loss": 0.2372,
1647
+ "step": 234
1648
+ },
1649
+ {
1650
+ "epoch": 2.73828125,
1651
+ "grad_norm": 0.13162650167942047,
1652
+ "learning_rate": 9.08098456178111e-06,
1653
+ "loss": 0.287,
1654
+ "step": 235
1655
+ },
1656
+ {
1657
+ "epoch": 2.75,
1658
+ "grad_norm": 0.14429397881031036,
1659
+ "learning_rate": 9.069086588094067e-06,
1660
+ "loss": 0.2561,
1661
+ "step": 236
1662
+ },
1663
+ {
1664
+ "epoch": 2.76171875,
1665
+ "grad_norm": 0.1422855108976364,
1666
+ "learning_rate": 9.057119990854617e-06,
1667
+ "loss": 0.3037,
1668
+ "step": 237
1669
+ },
1670
+ {
1671
+ "epoch": 2.7734375,
1672
+ "grad_norm": 0.15853242576122284,
1673
+ "learning_rate": 9.045084971874738e-06,
1674
+ "loss": 0.2888,
1675
+ "step": 238
1676
+ },
1677
+ {
1678
+ "epoch": 2.78515625,
1679
+ "grad_norm": 0.12172834575176239,
1680
+ "learning_rate": 9.032981734120312e-06,
1681
+ "loss": 0.2477,
1682
+ "step": 239
1683
+ },
1684
+ {
1685
+ "epoch": 2.796875,
1686
+ "grad_norm": 0.1423560231924057,
1687
+ "learning_rate": 9.020810481707709e-06,
1688
+ "loss": 0.2867,
1689
+ "step": 240
1690
+ },
1691
+ {
1692
+ "epoch": 2.80859375,
1693
+ "grad_norm": 0.1702727973461151,
1694
+ "learning_rate": 9.008571419900334e-06,
1695
+ "loss": 0.3015,
1696
+ "step": 241
1697
+ },
1698
+ {
1699
+ "epoch": 2.8203125,
1700
+ "grad_norm": 0.14154493808746338,
1701
+ "learning_rate": 8.996264755105173e-06,
1702
+ "loss": 0.2771,
1703
+ "step": 242
1704
+ },
1705
+ {
1706
+ "epoch": 2.83203125,
1707
+ "grad_norm": 0.14596149325370789,
1708
+ "learning_rate": 8.983890694869312e-06,
1709
+ "loss": 0.3017,
1710
+ "step": 243
1711
+ },
1712
+ {
1713
+ "epoch": 2.84375,
1714
+ "grad_norm": 0.13621939718723297,
1715
+ "learning_rate": 8.97144944787643e-06,
1716
+ "loss": 0.2496,
1717
+ "step": 244
1718
+ },
1719
+ {
1720
+ "epoch": 2.85546875,
1721
+ "grad_norm": 0.18428286910057068,
1722
+ "learning_rate": 8.958941223943292e-06,
1723
+ "loss": 0.2751,
1724
+ "step": 245
1725
+ },
1726
+ {
1727
+ "epoch": 2.8671875,
1728
+ "grad_norm": 0.1273455023765564,
1729
+ "learning_rate": 8.946366234016192e-06,
1730
+ "loss": 0.2678,
1731
+ "step": 246
1732
+ },
1733
+ {
1734
+ "epoch": 2.87890625,
1735
+ "grad_norm": 0.1442483514547348,
1736
+ "learning_rate": 8.933724690167417e-06,
1737
+ "loss": 0.2574,
1738
+ "step": 247
1739
+ },
1740
+ {
1741
+ "epoch": 2.890625,
1742
+ "grad_norm": 0.12419985979795456,
1743
+ "learning_rate": 8.921016805591654e-06,
1744
+ "loss": 0.2512,
1745
+ "step": 248
1746
+ },
1747
+ {
1748
+ "epoch": 2.90234375,
1749
+ "grad_norm": 0.13012221455574036,
1750
+ "learning_rate": 8.908242794602401e-06,
1751
+ "loss": 0.2674,
1752
+ "step": 249
1753
+ },
1754
+ {
1755
+ "epoch": 2.9140625,
1756
+ "grad_norm": 0.13028892874717712,
1757
+ "learning_rate": 8.895402872628352e-06,
1758
+ "loss": 0.2566,
1759
+ "step": 250
1760
+ },
1761
+ {
1762
+ "epoch": 2.92578125,
1763
+ "grad_norm": 0.1266089677810669,
1764
+ "learning_rate": 8.882497256209767e-06,
1765
+ "loss": 0.2671,
1766
+ "step": 251
1767
+ },
1768
+ {
1769
+ "epoch": 2.9375,
1770
+ "grad_norm": 0.15992388129234314,
1771
+ "learning_rate": 8.869526162994814e-06,
1772
+ "loss": 0.276,
1773
+ "step": 252
1774
+ },
1775
+ {
1776
+ "epoch": 2.94921875,
1777
+ "grad_norm": 0.13113290071487427,
1778
+ "learning_rate": 8.856489811735904e-06,
1779
+ "loss": 0.3073,
1780
+ "step": 253
1781
+ },
1782
+ {
1783
+ "epoch": 2.9609375,
1784
+ "grad_norm": 0.15523600578308105,
1785
+ "learning_rate": 8.843388422285995e-06,
1786
+ "loss": 0.2704,
1787
+ "step": 254
1788
+ },
1789
+ {
1790
+ "epoch": 2.97265625,
1791
+ "grad_norm": 0.13755646347999573,
1792
+ "learning_rate": 8.83022221559489e-06,
1793
+ "loss": 0.3174,
1794
+ "step": 255
1795
+ },
1796
+ {
1797
+ "epoch": 2.984375,
1798
+ "grad_norm": 0.15444748103618622,
1799
+ "learning_rate": 8.816991413705515e-06,
1800
+ "loss": 0.2955,
1801
+ "step": 256
1802
+ },
1803
+ {
1804
+ "epoch": 2.99609375,
1805
+ "grad_norm": 0.13223521411418915,
1806
+ "learning_rate": 8.803696239750163e-06,
1807
+ "loss": 0.2563,
1808
+ "step": 257
1809
+ },
1810
+ {
1811
+ "epoch": 3.0,
1812
+ "grad_norm": 0.28410595655441284,
1813
+ "learning_rate": 8.790336917946737e-06,
1814
+ "loss": 0.242,
1815
+ "step": 258
1816
+ },
1817
+ {
1818
+ "epoch": 3.01171875,
1819
+ "grad_norm": 0.16228830814361572,
1820
+ "learning_rate": 8.776913673594968e-06,
1821
+ "loss": 0.1626,
1822
+ "step": 259
1823
+ },
1824
+ {
1825
+ "epoch": 3.0234375,
1826
+ "grad_norm": 0.14956367015838623,
1827
+ "learning_rate": 8.763426733072624e-06,
1828
+ "loss": 0.1751,
1829
+ "step": 260
1830
+ },
1831
+ {
1832
+ "epoch": 3.03515625,
1833
+ "grad_norm": 0.15641574561595917,
1834
+ "learning_rate": 8.74987632383167e-06,
1835
+ "loss": 0.1932,
1836
+ "step": 261
1837
+ },
1838
+ {
1839
+ "epoch": 3.046875,
1840
+ "grad_norm": 0.18344224989414215,
1841
+ "learning_rate": 8.736262674394455e-06,
1842
+ "loss": 0.1646,
1843
+ "step": 262
1844
+ },
1845
+ {
1846
+ "epoch": 3.05859375,
1847
+ "grad_norm": 0.23181785643100739,
1848
+ "learning_rate": 8.722586014349851e-06,
1849
+ "loss": 0.1855,
1850
+ "step": 263
1851
+ },
1852
+ {
1853
+ "epoch": 3.0703125,
1854
+ "grad_norm": 0.1877327412366867,
1855
+ "learning_rate": 8.708846574349372e-06,
1856
+ "loss": 0.1779,
1857
+ "step": 264
1858
+ },
1859
+ {
1860
+ "epoch": 3.08203125,
1861
+ "grad_norm": 0.1676245629787445,
1862
+ "learning_rate": 8.695044586103297e-06,
1863
+ "loss": 0.1621,
1864
+ "step": 265
1865
+ },
1866
+ {
1867
+ "epoch": 3.09375,
1868
+ "grad_norm": 0.16094529628753662,
1869
+ "learning_rate": 8.681180282376754e-06,
1870
+ "loss": 0.1732,
1871
+ "step": 266
1872
+ },
1873
+ {
1874
+ "epoch": 3.10546875,
1875
+ "grad_norm": 0.14831165969371796,
1876
+ "learning_rate": 8.667253896985796e-06,
1877
+ "loss": 0.1678,
1878
+ "step": 267
1879
+ },
1880
+ {
1881
+ "epoch": 3.1171875,
1882
+ "grad_norm": 0.1500885933637619,
1883
+ "learning_rate": 8.653265664793466e-06,
1884
+ "loss": 0.1597,
1885
+ "step": 268
1886
+ },
1887
+ {
1888
+ "epoch": 3.12890625,
1889
+ "grad_norm": 0.13528233766555786,
1890
+ "learning_rate": 8.639215821705821e-06,
1891
+ "loss": 0.2005,
1892
+ "step": 269
1893
+ },
1894
+ {
1895
+ "epoch": 3.140625,
1896
+ "grad_norm": 0.1544928252696991,
1897
+ "learning_rate": 8.625104604667965e-06,
1898
+ "loss": 0.1658,
1899
+ "step": 270
1900
+ },
1901
+ {
1902
+ "epoch": 3.15234375,
1903
+ "grad_norm": 0.1660798341035843,
1904
+ "learning_rate": 8.610932251660046e-06,
1905
+ "loss": 0.2022,
1906
+ "step": 271
1907
+ },
1908
+ {
1909
+ "epoch": 3.1640625,
1910
+ "grad_norm": 0.17334631085395813,
1911
+ "learning_rate": 8.596699001693257e-06,
1912
+ "loss": 0.1821,
1913
+ "step": 272
1914
+ },
1915
+ {
1916
+ "epoch": 3.17578125,
1917
+ "grad_norm": 0.23266500234603882,
1918
+ "learning_rate": 8.58240509480578e-06,
1919
+ "loss": 0.1905,
1920
+ "step": 273
1921
+ },
1922
+ {
1923
+ "epoch": 3.1875,
1924
+ "grad_norm": 0.14414437115192413,
1925
+ "learning_rate": 8.568050772058763e-06,
1926
+ "loss": 0.1792,
1927
+ "step": 274
1928
+ },
1929
+ {
1930
+ "epoch": 3.19921875,
1931
+ "grad_norm": 0.1535835564136505,
1932
+ "learning_rate": 8.553636275532236e-06,
1933
+ "loss": 0.1699,
1934
+ "step": 275
1935
+ },
1936
+ {
1937
+ "epoch": 3.2109375,
1938
+ "grad_norm": 0.17544692754745483,
1939
+ "learning_rate": 8.539161848321047e-06,
1940
+ "loss": 0.216,
1941
+ "step": 276
1942
+ },
1943
+ {
1944
+ "epoch": 3.22265625,
1945
+ "grad_norm": 0.14662209153175354,
1946
+ "learning_rate": 8.524627734530738e-06,
1947
+ "loss": 0.1655,
1948
+ "step": 277
1949
+ },
1950
+ {
1951
+ "epoch": 3.234375,
1952
+ "grad_norm": 0.14544612169265747,
1953
+ "learning_rate": 8.51003417927345e-06,
1954
+ "loss": 0.1764,
1955
+ "step": 278
1956
+ },
1957
+ {
1958
+ "epoch": 3.24609375,
1959
+ "grad_norm": 0.16317211091518402,
1960
+ "learning_rate": 8.49538142866378e-06,
1961
+ "loss": 0.1791,
1962
+ "step": 279
1963
+ },
1964
+ {
1965
+ "epoch": 3.2578125,
1966
+ "grad_norm": 0.1408390998840332,
1967
+ "learning_rate": 8.480669729814635e-06,
1968
+ "loss": 0.1571,
1969
+ "step": 280
1970
+ },
1971
+ {
1972
+ "epoch": 3.26953125,
1973
+ "grad_norm": 0.14905256032943726,
1974
+ "learning_rate": 8.465899330833051e-06,
1975
+ "loss": 0.1513,
1976
+ "step": 281
1977
+ },
1978
+ {
1979
+ "epoch": 3.28125,
1980
+ "grad_norm": 0.13584789633750916,
1981
+ "learning_rate": 8.451070480816027e-06,
1982
+ "loss": 0.1677,
1983
+ "step": 282
1984
+ },
1985
+ {
1986
+ "epoch": 3.29296875,
1987
+ "grad_norm": 0.14696229994297028,
1988
+ "learning_rate": 8.436183429846314e-06,
1989
+ "loss": 0.1812,
1990
+ "step": 283
1991
+ },
1992
+ {
1993
+ "epoch": 3.3046875,
1994
+ "grad_norm": 0.21364903450012207,
1995
+ "learning_rate": 8.421238428988199e-06,
1996
+ "loss": 0.1875,
1997
+ "step": 284
1998
+ },
1999
+ {
2000
+ "epoch": 3.31640625,
2001
+ "grad_norm": 0.15450192987918854,
2002
+ "learning_rate": 8.40623573028327e-06,
2003
+ "loss": 0.1763,
2004
+ "step": 285
2005
+ },
2006
+ {
2007
+ "epoch": 3.328125,
2008
+ "grad_norm": 0.14626288414001465,
2009
+ "learning_rate": 8.39117558674617e-06,
2010
+ "loss": 0.1625,
2011
+ "step": 286
2012
+ },
2013
+ {
2014
+ "epoch": 3.33984375,
2015
+ "grad_norm": 0.15964478254318237,
2016
+ "learning_rate": 8.376058252360322e-06,
2017
+ "loss": 0.1896,
2018
+ "step": 287
2019
+ },
2020
+ {
2021
+ "epoch": 3.3515625,
2022
+ "grad_norm": 0.14050042629241943,
2023
+ "learning_rate": 8.360883982073653e-06,
2024
+ "loss": 0.1695,
2025
+ "step": 288
2026
+ },
2027
+ {
2028
+ "epoch": 3.36328125,
2029
+ "grad_norm": 0.16250889003276825,
2030
+ "learning_rate": 8.345653031794292e-06,
2031
+ "loss": 0.1638,
2032
+ "step": 289
2033
+ },
2034
+ {
2035
+ "epoch": 3.375,
2036
+ "grad_norm": 0.14831937849521637,
2037
+ "learning_rate": 8.330365658386252e-06,
2038
+ "loss": 0.1714,
2039
+ "step": 290
2040
+ },
2041
+ {
2042
+ "epoch": 3.38671875,
2043
+ "grad_norm": 0.15942546725273132,
2044
+ "learning_rate": 8.3150221196651e-06,
2045
+ "loss": 0.1744,
2046
+ "step": 291
2047
+ },
2048
+ {
2049
+ "epoch": 3.3984375,
2050
+ "grad_norm": 0.14313259720802307,
2051
+ "learning_rate": 8.299622674393615e-06,
2052
+ "loss": 0.1578,
2053
+ "step": 292
2054
+ },
2055
+ {
2056
+ "epoch": 3.41015625,
2057
+ "grad_norm": 0.1886913925409317,
2058
+ "learning_rate": 8.284167582277406e-06,
2059
+ "loss": 0.2234,
2060
+ "step": 293
2061
+ },
2062
+ {
2063
+ "epoch": 3.421875,
2064
+ "grad_norm": 0.16603605449199677,
2065
+ "learning_rate": 8.268657103960558e-06,
2066
+ "loss": 0.1891,
2067
+ "step": 294
2068
+ },
2069
+ {
2070
+ "epoch": 3.43359375,
2071
+ "grad_norm": 0.18278054893016815,
2072
+ "learning_rate": 8.25309150102121e-06,
2073
+ "loss": 0.1847,
2074
+ "step": 295
2075
+ },
2076
+ {
2077
+ "epoch": 3.4453125,
2078
+ "grad_norm": 0.15222598612308502,
2079
+ "learning_rate": 8.237471035967168e-06,
2080
+ "loss": 0.181,
2081
+ "step": 296
2082
+ },
2083
+ {
2084
+ "epoch": 3.45703125,
2085
+ "grad_norm": 0.16404354572296143,
2086
+ "learning_rate": 8.221795972231459e-06,
2087
+ "loss": 0.1682,
2088
+ "step": 297
2089
+ },
2090
+ {
2091
+ "epoch": 3.46875,
2092
+ "grad_norm": 0.15001647174358368,
2093
+ "learning_rate": 8.206066574167893e-06,
2094
+ "loss": 0.1589,
2095
+ "step": 298
2096
+ },
2097
+ {
2098
+ "epoch": 3.48046875,
2099
+ "grad_norm": 0.1620359718799591,
2100
+ "learning_rate": 8.190283107046613e-06,
2101
+ "loss": 0.1914,
2102
+ "step": 299
2103
+ },
2104
+ {
2105
+ "epoch": 3.4921875,
2106
+ "grad_norm": 0.17575767636299133,
2107
+ "learning_rate": 8.174445837049614e-06,
2108
+ "loss": 0.1713,
2109
+ "step": 300
2110
+ },
2111
+ {
2112
+ "epoch": 3.50390625,
2113
+ "grad_norm": 0.16479137539863586,
2114
+ "learning_rate": 8.158555031266255e-06,
2115
+ "loss": 0.1958,
2116
+ "step": 301
2117
+ },
2118
+ {
2119
+ "epoch": 3.515625,
2120
+ "grad_norm": 0.14474551379680634,
2121
+ "learning_rate": 8.142610957688755e-06,
2122
+ "loss": 0.1741,
2123
+ "step": 302
2124
+ },
2125
+ {
2126
+ "epoch": 3.52734375,
2127
+ "grad_norm": 0.15629877150058746,
2128
+ "learning_rate": 8.12661388520767e-06,
2129
+ "loss": 0.1925,
2130
+ "step": 303
2131
+ },
2132
+ {
2133
+ "epoch": 3.5390625,
2134
+ "grad_norm": 0.21056914329528809,
2135
+ "learning_rate": 8.110564083607371e-06,
2136
+ "loss": 0.1776,
2137
+ "step": 304
2138
+ },
2139
+ {
2140
+ "epoch": 3.55078125,
2141
+ "grad_norm": 0.15697474777698517,
2142
+ "learning_rate": 8.094461823561473e-06,
2143
+ "loss": 0.16,
2144
+ "step": 305
2145
+ },
2146
+ {
2147
+ "epoch": 3.5625,
2148
+ "grad_norm": 0.15944577753543854,
2149
+ "learning_rate": 8.078307376628292e-06,
2150
+ "loss": 0.1784,
2151
+ "step": 306
2152
+ },
2153
+ {
2154
+ "epoch": 3.57421875,
2155
+ "grad_norm": 0.1611972153186798,
2156
+ "learning_rate": 8.06210101524625e-06,
2157
+ "loss": 0.1914,
2158
+ "step": 307
2159
+ },
2160
+ {
2161
+ "epoch": 3.5859375,
2162
+ "grad_norm": 0.18928834795951843,
2163
+ "learning_rate": 8.045843012729288e-06,
2164
+ "loss": 0.2047,
2165
+ "step": 308
2166
+ },
2167
+ {
2168
+ "epoch": 3.59765625,
2169
+ "grad_norm": 0.17320488393306732,
2170
+ "learning_rate": 8.029533643262257e-06,
2171
+ "loss": 0.1882,
2172
+ "step": 309
2173
+ },
2174
+ {
2175
+ "epoch": 3.609375,
2176
+ "grad_norm": 0.1613771617412567,
2177
+ "learning_rate": 8.013173181896283e-06,
2178
+ "loss": 0.1814,
2179
+ "step": 310
2180
+ },
2181
+ {
2182
+ "epoch": 3.62109375,
2183
+ "grad_norm": 0.15916645526885986,
2184
+ "learning_rate": 7.996761904544146e-06,
2185
+ "loss": 0.1905,
2186
+ "step": 311
2187
+ },
2188
+ {
2189
+ "epoch": 3.6328125,
2190
+ "grad_norm": 0.1529555767774582,
2191
+ "learning_rate": 7.980300087975612e-06,
2192
+ "loss": 0.1835,
2193
+ "step": 312
2194
+ },
2195
+ {
2196
+ "epoch": 3.64453125,
2197
+ "grad_norm": 0.16544155776500702,
2198
+ "learning_rate": 7.963788009812775e-06,
2199
+ "loss": 0.1791,
2200
+ "step": 313
2201
+ },
2202
+ {
2203
+ "epoch": 3.65625,
2204
+ "grad_norm": 0.1579754799604416,
2205
+ "learning_rate": 7.94722594852537e-06,
2206
+ "loss": 0.1943,
2207
+ "step": 314
2208
+ },
2209
+ {
2210
+ "epoch": 3.66796875,
2211
+ "grad_norm": 0.16517029702663422,
2212
+ "learning_rate": 7.930614183426074e-06,
2213
+ "loss": 0.1949,
2214
+ "step": 315
2215
+ },
2216
+ {
2217
+ "epoch": 3.6796875,
2218
+ "grad_norm": 0.19699627161026,
2219
+ "learning_rate": 7.913952994665805e-06,
2220
+ "loss": 0.1816,
2221
+ "step": 316
2222
+ },
2223
+ {
2224
+ "epoch": 3.69140625,
2225
+ "grad_norm": 0.15589186549186707,
2226
+ "learning_rate": 7.89724266322899e-06,
2227
+ "loss": 0.1857,
2228
+ "step": 317
2229
+ },
2230
+ {
2231
+ "epoch": 3.703125,
2232
+ "grad_norm": 0.15042664110660553,
2233
+ "learning_rate": 7.880483470928823e-06,
2234
+ "loss": 0.1659,
2235
+ "step": 318
2236
+ },
2237
+ {
2238
+ "epoch": 3.71484375,
2239
+ "grad_norm": 0.1443316787481308,
2240
+ "learning_rate": 7.863675700402527e-06,
2241
+ "loss": 0.1741,
2242
+ "step": 319
2243
+ },
2244
+ {
2245
+ "epoch": 3.7265625,
2246
+ "grad_norm": 0.14981609582901,
2247
+ "learning_rate": 7.846819635106569e-06,
2248
+ "loss": 0.1998,
2249
+ "step": 320
2250
+ },
2251
+ {
2252
+ "epoch": 3.73828125,
2253
+ "grad_norm": 0.13699378073215485,
2254
+ "learning_rate": 7.829915559311892e-06,
2255
+ "loss": 0.1636,
2256
+ "step": 321
2257
+ },
2258
+ {
2259
+ "epoch": 3.75,
2260
+ "grad_norm": 0.14549602568149567,
2261
+ "learning_rate": 7.812963758099118e-06,
2262
+ "loss": 0.1732,
2263
+ "step": 322
2264
+ },
2265
+ {
2266
+ "epoch": 3.76171875,
2267
+ "grad_norm": 0.15110832452774048,
2268
+ "learning_rate": 7.795964517353734e-06,
2269
+ "loss": 0.1816,
2270
+ "step": 323
2271
+ },
2272
+ {
2273
+ "epoch": 3.7734375,
2274
+ "grad_norm": 0.1504000872373581,
2275
+ "learning_rate": 7.778918123761287e-06,
2276
+ "loss": 0.1656,
2277
+ "step": 324
2278
+ },
2279
+ {
2280
+ "epoch": 3.78515625,
2281
+ "grad_norm": 0.15452761948108673,
2282
+ "learning_rate": 7.76182486480253e-06,
2283
+ "loss": 0.1764,
2284
+ "step": 325
2285
+ },
2286
+ {
2287
+ "epoch": 3.796875,
2288
+ "grad_norm": 0.14827081561088562,
2289
+ "learning_rate": 7.744685028748582e-06,
2290
+ "loss": 0.159,
2291
+ "step": 326
2292
+ },
2293
+ {
2294
+ "epoch": 3.80859375,
2295
+ "grad_norm": 0.140132874250412,
2296
+ "learning_rate": 7.72749890465607e-06,
2297
+ "loss": 0.1923,
2298
+ "step": 327
2299
+ },
2300
+ {
2301
+ "epoch": 3.8203125,
2302
+ "grad_norm": 0.1527477502822876,
2303
+ "learning_rate": 7.710266782362248e-06,
2304
+ "loss": 0.1586,
2305
+ "step": 328
2306
+ },
2307
+ {
2308
+ "epoch": 3.83203125,
2309
+ "grad_norm": 0.14466483891010284,
2310
+ "learning_rate": 7.692988952480114e-06,
2311
+ "loss": 0.1669,
2312
+ "step": 329
2313
+ },
2314
+ {
2315
+ "epoch": 3.84375,
2316
+ "grad_norm": 0.15228520333766937,
2317
+ "learning_rate": 7.675665706393502e-06,
2318
+ "loss": 0.167,
2319
+ "step": 330
2320
+ },
2321
+ {
2322
+ "epoch": 3.85546875,
2323
+ "grad_norm": 0.18122923374176025,
2324
+ "learning_rate": 7.658297336252181e-06,
2325
+ "loss": 0.1981,
2326
+ "step": 331
2327
+ },
2328
+ {
2329
+ "epoch": 3.8671875,
2330
+ "grad_norm": 0.1492803692817688,
2331
+ "learning_rate": 7.64088413496691e-06,
2332
+ "loss": 0.1802,
2333
+ "step": 332
2334
+ },
2335
+ {
2336
+ "epoch": 3.87890625,
2337
+ "grad_norm": 0.15203335881233215,
2338
+ "learning_rate": 7.623426396204516e-06,
2339
+ "loss": 0.1935,
2340
+ "step": 333
2341
+ },
2342
+ {
2343
+ "epoch": 3.890625,
2344
+ "grad_norm": 0.15901945531368256,
2345
+ "learning_rate": 7.605924414382926e-06,
2346
+ "loss": 0.1711,
2347
+ "step": 334
2348
+ },
2349
+ {
2350
+ "epoch": 3.90234375,
2351
+ "grad_norm": 0.14871086180210114,
2352
+ "learning_rate": 7.588378484666214e-06,
2353
+ "loss": 0.1658,
2354
+ "step": 335
2355
+ },
2356
+ {
2357
+ "epoch": 3.9140625,
2358
+ "grad_norm": 0.16054388880729675,
2359
+ "learning_rate": 7.570788902959612e-06,
2360
+ "loss": 0.1915,
2361
+ "step": 336
2362
+ },
2363
+ {
2364
+ "epoch": 3.92578125,
2365
+ "grad_norm": 0.14552587270736694,
2366
+ "learning_rate": 7.553155965904535e-06,
2367
+ "loss": 0.1901,
2368
+ "step": 337
2369
+ },
2370
+ {
2371
+ "epoch": 3.9375,
2372
+ "grad_norm": 0.15138490498065948,
2373
+ "learning_rate": 7.535479970873563e-06,
2374
+ "loss": 0.2054,
2375
+ "step": 338
2376
+ },
2377
+ {
2378
+ "epoch": 3.94921875,
2379
+ "grad_norm": 0.15584439039230347,
2380
+ "learning_rate": 7.517761215965429e-06,
2381
+ "loss": 0.1863,
2382
+ "step": 339
2383
+ },
2384
+ {
2385
+ "epoch": 3.9609375,
2386
+ "grad_norm": 0.15878607332706451,
2387
+ "learning_rate": 7.500000000000001e-06,
2388
+ "loss": 0.2298,
2389
+ "step": 340
2390
+ },
2391
+ {
2392
+ "epoch": 3.97265625,
2393
+ "grad_norm": 0.14984527230262756,
2394
+ "learning_rate": 7.482196622513233e-06,
2395
+ "loss": 0.1862,
2396
+ "step": 341
2397
+ },
2398
+ {
2399
+ "epoch": 3.984375,
2400
+ "grad_norm": 0.1370866894721985,
2401
+ "learning_rate": 7.464351383752117e-06,
2402
+ "loss": 0.1711,
2403
+ "step": 342
2404
+ },
2405
+ {
2406
+ "epoch": 3.99609375,
2407
+ "grad_norm": 0.13851135969161987,
2408
+ "learning_rate": 7.4464645846696186e-06,
2409
+ "loss": 0.1564,
2410
+ "step": 343
2411
+ },
2412
+ {
2413
+ "epoch": 4.0,
2414
+ "grad_norm": 0.13851135969161987,
2415
+ "learning_rate": 7.428536526919603e-06,
2416
+ "loss": 0.1124,
2417
+ "step": 344
2418
+ },
2419
+ {
2420
+ "epoch": 4.01171875,
2421
+ "grad_norm": 0.21845901012420654,
2422
+ "learning_rate": 7.4105675128517456e-06,
2423
+ "loss": 0.1096,
2424
+ "step": 345
2425
+ },
2426
+ {
2427
+ "epoch": 4.0234375,
2428
+ "grad_norm": 0.18661820888519287,
2429
+ "learning_rate": 7.392557845506433e-06,
2430
+ "loss": 0.1378,
2431
+ "step": 346
2432
+ },
2433
+ {
2434
+ "epoch": 4.03515625,
2435
+ "grad_norm": 0.16629564762115479,
2436
+ "learning_rate": 7.374507828609657e-06,
2437
+ "loss": 0.1173,
2438
+ "step": 347
2439
+ },
2440
+ {
2441
+ "epoch": 4.046875,
2442
+ "grad_norm": 0.15008185803890228,
2443
+ "learning_rate": 7.356417766567887e-06,
2444
+ "loss": 0.1028,
2445
+ "step": 348
2446
+ },
2447
+ {
2448
+ "epoch": 4.05859375,
2449
+ "grad_norm": 0.1788836270570755,
2450
+ "learning_rate": 7.3382879644629345e-06,
2451
+ "loss": 0.1065,
2452
+ "step": 349
2453
+ },
2454
+ {
2455
+ "epoch": 4.0703125,
2456
+ "grad_norm": 0.19552384316921234,
2457
+ "learning_rate": 7.320118728046818e-06,
2458
+ "loss": 0.0964,
2459
+ "step": 350
2460
+ },
2461
+ {
2462
+ "epoch": 4.08203125,
2463
+ "grad_norm": 0.17942851781845093,
2464
+ "learning_rate": 7.301910363736596e-06,
2465
+ "loss": 0.093,
2466
+ "step": 351
2467
+ },
2468
+ {
2469
+ "epoch": 4.09375,
2470
+ "grad_norm": 0.1425376981496811,
2471
+ "learning_rate": 7.283663178609204e-06,
2472
+ "loss": 0.0923,
2473
+ "step": 352
2474
+ },
2475
+ {
2476
+ "epoch": 4.10546875,
2477
+ "grad_norm": 0.14930015802383423,
2478
+ "learning_rate": 7.265377480396277e-06,
2479
+ "loss": 0.1254,
2480
+ "step": 353
2481
+ },
2482
+ {
2483
+ "epoch": 4.1171875,
2484
+ "grad_norm": 0.1838270127773285,
2485
+ "learning_rate": 7.247053577478955e-06,
2486
+ "loss": 0.0997,
2487
+ "step": 354
2488
+ },
2489
+ {
2490
+ "epoch": 4.12890625,
2491
+ "grad_norm": 0.16155952215194702,
2492
+ "learning_rate": 7.2286917788826926e-06,
2493
+ "loss": 0.0889,
2494
+ "step": 355
2495
+ },
2496
+ {
2497
+ "epoch": 4.140625,
2498
+ "grad_norm": 0.15314266085624695,
2499
+ "learning_rate": 7.210292394272029e-06,
2500
+ "loss": 0.1011,
2501
+ "step": 356
2502
+ },
2503
+ {
2504
+ "epoch": 4.15234375,
2505
+ "grad_norm": 0.14763030409812927,
2506
+ "learning_rate": 7.191855733945388e-06,
2507
+ "loss": 0.1017,
2508
+ "step": 357
2509
+ },
2510
+ {
2511
+ "epoch": 4.1640625,
2512
+ "grad_norm": 0.1658443957567215,
2513
+ "learning_rate": 7.173382108829826e-06,
2514
+ "loss": 0.0825,
2515
+ "step": 358
2516
+ },
2517
+ {
2518
+ "epoch": 4.17578125,
2519
+ "grad_norm": 0.14803840219974518,
2520
+ "learning_rate": 7.154871830475798e-06,
2521
+ "loss": 0.0986,
2522
+ "step": 359
2523
+ },
2524
+ {
2525
+ "epoch": 4.1875,
2526
+ "grad_norm": 0.13587775826454163,
2527
+ "learning_rate": 7.136325211051905e-06,
2528
+ "loss": 0.1074,
2529
+ "step": 360
2530
+ },
2531
+ {
2532
+ "epoch": 4.19921875,
2533
+ "grad_norm": 0.1521381437778473,
2534
+ "learning_rate": 7.117742563339622e-06,
2535
+ "loss": 0.095,
2536
+ "step": 361
2537
+ },
2538
+ {
2539
+ "epoch": 4.2109375,
2540
+ "grad_norm": 0.1659468561410904,
2541
+ "learning_rate": 7.099124200728028e-06,
2542
+ "loss": 0.1028,
2543
+ "step": 362
2544
+ },
2545
+ {
2546
+ "epoch": 4.22265625,
2547
+ "grad_norm": 0.17924466729164124,
2548
+ "learning_rate": 7.0804704372085205e-06,
2549
+ "loss": 0.0952,
2550
+ "step": 363
2551
+ },
2552
+ {
2553
+ "epoch": 4.234375,
2554
+ "grad_norm": 0.17670685052871704,
2555
+ "learning_rate": 7.061781587369518e-06,
2556
+ "loss": 0.1299,
2557
+ "step": 364
2558
+ },
2559
+ {
2560
+ "epoch": 4.24609375,
2561
+ "grad_norm": 0.15658561885356903,
2562
+ "learning_rate": 7.043057966391158e-06,
2563
+ "loss": 0.1098,
2564
+ "step": 365
2565
+ },
2566
+ {
2567
+ "epoch": 4.2578125,
2568
+ "grad_norm": 0.1510300636291504,
2569
+ "learning_rate": 7.024299890039978e-06,
2570
+ "loss": 0.0922,
2571
+ "step": 366
2572
+ },
2573
+ {
2574
+ "epoch": 4.26953125,
2575
+ "grad_norm": 0.15231317281723022,
2576
+ "learning_rate": 7.005507674663594e-06,
2577
+ "loss": 0.1098,
2578
+ "step": 367
2579
+ },
2580
+ {
2581
+ "epoch": 4.28125,
2582
+ "grad_norm": 0.16875913739204407,
2583
+ "learning_rate": 6.986681637185361e-06,
2584
+ "loss": 0.0994,
2585
+ "step": 368
2586
+ },
2587
+ {
2588
+ "epoch": 4.29296875,
2589
+ "grad_norm": 0.19646456837654114,
2590
+ "learning_rate": 6.967822095099031e-06,
2591
+ "loss": 0.1197,
2592
+ "step": 369
2593
+ },
2594
+ {
2595
+ "epoch": 4.3046875,
2596
+ "grad_norm": 0.14720042049884796,
2597
+ "learning_rate": 6.948929366463397e-06,
2598
+ "loss": 0.1208,
2599
+ "step": 370
2600
+ },
2601
+ {
2602
+ "epoch": 4.31640625,
2603
+ "grad_norm": 0.1687857210636139,
2604
+ "learning_rate": 6.930003769896936e-06,
2605
+ "loss": 0.1019,
2606
+ "step": 371
2607
+ },
2608
+ {
2609
+ "epoch": 4.328125,
2610
+ "grad_norm": 0.17267028987407684,
2611
+ "learning_rate": 6.91104562457242e-06,
2612
+ "loss": 0.1051,
2613
+ "step": 372
2614
+ },
2615
+ {
2616
+ "epoch": 4.33984375,
2617
+ "grad_norm": 0.15575772523880005,
2618
+ "learning_rate": 6.892055250211552e-06,
2619
+ "loss": 0.1319,
2620
+ "step": 373
2621
+ },
2622
+ {
2623
+ "epoch": 4.3515625,
2624
+ "grad_norm": 0.16643179953098297,
2625
+ "learning_rate": 6.873032967079562e-06,
2626
+ "loss": 0.1241,
2627
+ "step": 374
2628
+ },
2629
+ {
2630
+ "epoch": 4.36328125,
2631
+ "grad_norm": 0.18457186222076416,
2632
+ "learning_rate": 6.8539790959798045e-06,
2633
+ "loss": 0.1018,
2634
+ "step": 375
2635
+ },
2636
+ {
2637
+ "epoch": 4.375,
2638
+ "grad_norm": 0.15639866888523102,
2639
+ "learning_rate": 6.834893958248361e-06,
2640
+ "loss": 0.1073,
2641
+ "step": 376
2642
+ },
2643
+ {
2644
+ "epoch": 4.38671875,
2645
+ "grad_norm": 0.14814910292625427,
2646
+ "learning_rate": 6.815777875748607e-06,
2647
+ "loss": 0.1018,
2648
+ "step": 377
2649
+ },
2650
+ {
2651
+ "epoch": 4.3984375,
2652
+ "grad_norm": 0.14821702241897583,
2653
+ "learning_rate": 6.7966311708657884e-06,
2654
+ "loss": 0.096,
2655
+ "step": 378
2656
+ },
2657
+ {
2658
+ "epoch": 4.41015625,
2659
+ "grad_norm": 0.16026665270328522,
2660
+ "learning_rate": 6.77745416650159e-06,
2661
+ "loss": 0.0961,
2662
+ "step": 379
2663
+ },
2664
+ {
2665
+ "epoch": 4.421875,
2666
+ "grad_norm": 0.135820209980011,
2667
+ "learning_rate": 6.758247186068684e-06,
2668
+ "loss": 0.0898,
2669
+ "step": 380
2670
+ },
2671
+ {
2672
+ "epoch": 4.43359375,
2673
+ "grad_norm": 0.1573071926832199,
2674
+ "learning_rate": 6.739010553485276e-06,
2675
+ "loss": 0.1238,
2676
+ "step": 381
2677
+ },
2678
+ {
2679
+ "epoch": 4.4453125,
2680
+ "grad_norm": 0.15640759468078613,
2681
+ "learning_rate": 6.719744593169642e-06,
2682
+ "loss": 0.1109,
2683
+ "step": 382
2684
+ },
2685
+ {
2686
+ "epoch": 4.45703125,
2687
+ "grad_norm": 0.1494980901479721,
2688
+ "learning_rate": 6.700449630034662e-06,
2689
+ "loss": 0.0996,
2690
+ "step": 383
2691
+ },
2692
+ {
2693
+ "epoch": 4.46875,
2694
+ "grad_norm": 0.13157877326011658,
2695
+ "learning_rate": 6.681125989482337e-06,
2696
+ "loss": 0.1078,
2697
+ "step": 384
2698
+ },
2699
+ {
2700
+ "epoch": 4.48046875,
2701
+ "grad_norm": 0.17184874415397644,
2702
+ "learning_rate": 6.6617739973982985e-06,
2703
+ "loss": 0.1042,
2704
+ "step": 385
2705
+ },
2706
+ {
2707
+ "epoch": 4.4921875,
2708
+ "grad_norm": 0.14946678280830383,
2709
+ "learning_rate": 6.64239398014632e-06,
2710
+ "loss": 0.1083,
2711
+ "step": 386
2712
+ },
2713
+ {
2714
+ "epoch": 4.50390625,
2715
+ "grad_norm": 0.19056496024131775,
2716
+ "learning_rate": 6.622986264562804e-06,
2717
+ "loss": 0.127,
2718
+ "step": 387
2719
+ },
2720
+ {
2721
+ "epoch": 4.515625,
2722
+ "grad_norm": 0.14448995888233185,
2723
+ "learning_rate": 6.6035511779512764e-06,
2724
+ "loss": 0.1038,
2725
+ "step": 388
2726
+ },
2727
+ {
2728
+ "epoch": 4.52734375,
2729
+ "grad_norm": 0.1500634104013443,
2730
+ "learning_rate": 6.584089048076866e-06,
2731
+ "loss": 0.1069,
2732
+ "step": 389
2733
+ },
2734
+ {
2735
+ "epoch": 4.5390625,
2736
+ "grad_norm": 0.14609850943088531,
2737
+ "learning_rate": 6.5646002031607726e-06,
2738
+ "loss": 0.103,
2739
+ "step": 390
2740
+ },
2741
+ {
2742
+ "epoch": 4.55078125,
2743
+ "grad_norm": 0.15358710289001465,
2744
+ "learning_rate": 6.545084971874738e-06,
2745
+ "loss": 0.1128,
2746
+ "step": 391
2747
+ },
2748
+ {
2749
+ "epoch": 4.5625,
2750
+ "grad_norm": 0.158953458070755,
2751
+ "learning_rate": 6.525543683335497e-06,
2752
+ "loss": 0.1028,
2753
+ "step": 392
2754
+ },
2755
+ {
2756
+ "epoch": 4.57421875,
2757
+ "grad_norm": 0.1573840230703354,
2758
+ "learning_rate": 6.505976667099233e-06,
2759
+ "loss": 0.1167,
2760
+ "step": 393
2761
+ },
2762
+ {
2763
+ "epoch": 4.5859375,
2764
+ "grad_norm": 0.16527414321899414,
2765
+ "learning_rate": 6.486384253156014e-06,
2766
+ "loss": 0.1178,
2767
+ "step": 394
2768
+ },
2769
+ {
2770
+ "epoch": 4.59765625,
2771
+ "grad_norm": 0.14780762791633606,
2772
+ "learning_rate": 6.466766771924231e-06,
2773
+ "loss": 0.0999,
2774
+ "step": 395
2775
+ },
2776
+ {
2777
+ "epoch": 4.609375,
2778
+ "grad_norm": 0.175028994679451,
2779
+ "learning_rate": 6.447124554245026e-06,
2780
+ "loss": 0.1273,
2781
+ "step": 396
2782
+ },
2783
+ {
2784
+ "epoch": 4.62109375,
2785
+ "grad_norm": 0.16705100238323212,
2786
+ "learning_rate": 6.427457931376712e-06,
2787
+ "loss": 0.0969,
2788
+ "step": 397
2789
+ },
2790
+ {
2791
+ "epoch": 4.6328125,
2792
+ "grad_norm": 0.1503540724515915,
2793
+ "learning_rate": 6.407767234989181e-06,
2794
+ "loss": 0.0962,
2795
+ "step": 398
2796
+ },
2797
+ {
2798
+ "epoch": 4.64453125,
2799
+ "grad_norm": 0.17881572246551514,
2800
+ "learning_rate": 6.388052797158324e-06,
2801
+ "loss": 0.1143,
2802
+ "step": 399
2803
+ },
2804
+ {
2805
+ "epoch": 4.65625,
2806
+ "grad_norm": 0.13578246533870697,
2807
+ "learning_rate": 6.368314950360416e-06,
2808
+ "loss": 0.122,
2809
+ "step": 400
2810
+ },
2811
+ {
2812
+ "epoch": 4.66796875,
2813
+ "grad_norm": 0.19132906198501587,
2814
+ "learning_rate": 6.3485540274665134e-06,
2815
+ "loss": 0.0979,
2816
+ "step": 401
2817
+ },
2818
+ {
2819
+ "epoch": 4.6796875,
2820
+ "grad_norm": 0.12635491788387299,
2821
+ "learning_rate": 6.32877036173685e-06,
2822
+ "loss": 0.1021,
2823
+ "step": 402
2824
+ },
2825
+ {
2826
+ "epoch": 4.69140625,
2827
+ "grad_norm": 0.2278641015291214,
2828
+ "learning_rate": 6.308964286815203e-06,
2829
+ "loss": 0.1107,
2830
+ "step": 403
2831
+ },
2832
+ {
2833
+ "epoch": 4.703125,
2834
+ "grad_norm": 0.2541256844997406,
2835
+ "learning_rate": 6.289136136723268e-06,
2836
+ "loss": 0.1026,
2837
+ "step": 404
2838
+ },
2839
+ {
2840
+ "epoch": 4.71484375,
2841
+ "grad_norm": 0.16736242175102234,
2842
+ "learning_rate": 6.269286245855039e-06,
2843
+ "loss": 0.1211,
2844
+ "step": 405
2845
+ },
2846
+ {
2847
+ "epoch": 4.7265625,
2848
+ "grad_norm": 0.22079572081565857,
2849
+ "learning_rate": 6.249414948971154e-06,
2850
+ "loss": 0.1321,
2851
+ "step": 406
2852
+ },
2853
+ {
2854
+ "epoch": 4.73828125,
2855
+ "grad_norm": 0.16761334240436554,
2856
+ "learning_rate": 6.229522581193257e-06,
2857
+ "loss": 0.1219,
2858
+ "step": 407
2859
+ },
2860
+ {
2861
+ "epoch": 4.75,
2862
+ "grad_norm": 0.19656169414520264,
2863
+ "learning_rate": 6.209609477998339e-06,
2864
+ "loss": 0.1115,
2865
+ "step": 408
2866
+ },
2867
+ {
2868
+ "epoch": 4.76171875,
2869
+ "grad_norm": 0.14829809963703156,
2870
+ "learning_rate": 6.189675975213094e-06,
2871
+ "loss": 0.0969,
2872
+ "step": 409
2873
+ },
2874
+ {
2875
+ "epoch": 4.7734375,
2876
+ "grad_norm": 0.14715968072414398,
2877
+ "learning_rate": 6.169722409008244e-06,
2878
+ "loss": 0.1179,
2879
+ "step": 410
2880
+ },
2881
+ {
2882
+ "epoch": 4.78515625,
2883
+ "grad_norm": 0.17647211253643036,
2884
+ "learning_rate": 6.1497491158928694e-06,
2885
+ "loss": 0.0951,
2886
+ "step": 411
2887
+ },
2888
+ {
2889
+ "epoch": 4.796875,
2890
+ "grad_norm": 0.1545528769493103,
2891
+ "learning_rate": 6.129756432708739e-06,
2892
+ "loss": 0.1028,
2893
+ "step": 412
2894
+ },
2895
+ {
2896
+ "epoch": 4.80859375,
2897
+ "grad_norm": 0.15555883944034576,
2898
+ "learning_rate": 6.109744696624631e-06,
2899
+ "loss": 0.0929,
2900
+ "step": 413
2901
+ },
2902
+ {
2903
+ "epoch": 4.8203125,
2904
+ "grad_norm": 0.1452905237674713,
2905
+ "learning_rate": 6.089714245130639e-06,
2906
+ "loss": 0.1001,
2907
+ "step": 414
2908
+ },
2909
+ {
2910
+ "epoch": 4.83203125,
2911
+ "grad_norm": 0.1887577474117279,
2912
+ "learning_rate": 6.0696654160324875e-06,
2913
+ "loss": 0.1297,
2914
+ "step": 415
2915
+ },
2916
+ {
2917
+ "epoch": 4.84375,
2918
+ "grad_norm": 0.15246422588825226,
2919
+ "learning_rate": 6.049598547445829e-06,
2920
+ "loss": 0.1085,
2921
+ "step": 416
2922
+ },
2923
+ {
2924
+ "epoch": 4.85546875,
2925
+ "grad_norm": 0.1306416392326355,
2926
+ "learning_rate": 6.02951397779055e-06,
2927
+ "loss": 0.0879,
2928
+ "step": 417
2929
+ },
2930
+ {
2931
+ "epoch": 4.8671875,
2932
+ "grad_norm": 0.16870683431625366,
2933
+ "learning_rate": 6.009412045785051e-06,
2934
+ "loss": 0.114,
2935
+ "step": 418
2936
+ },
2937
+ {
2938
+ "epoch": 4.87890625,
2939
+ "grad_norm": 0.16079163551330566,
2940
+ "learning_rate": 5.98929309044055e-06,
2941
+ "loss": 0.1084,
2942
+ "step": 419
2943
+ },
2944
+ {
2945
+ "epoch": 4.890625,
2946
+ "grad_norm": 0.1713971495628357,
2947
+ "learning_rate": 5.9691574510553505e-06,
2948
+ "loss": 0.1185,
2949
+ "step": 420
2950
+ },
2951
+ {
2952
+ "epoch": 4.90234375,
2953
+ "grad_norm": 0.14745403826236725,
2954
+ "learning_rate": 5.9490054672091305e-06,
2955
+ "loss": 0.1064,
2956
+ "step": 421
2957
+ },
2958
+ {
2959
+ "epoch": 4.9140625,
2960
+ "grad_norm": 0.1969185173511505,
2961
+ "learning_rate": 5.928837478757206e-06,
2962
+ "loss": 0.0908,
2963
+ "step": 422
2964
+ },
2965
+ {
2966
+ "epoch": 4.92578125,
2967
+ "grad_norm": 0.2246403843164444,
2968
+ "learning_rate": 5.908653825824808e-06,
2969
+ "loss": 0.1175,
2970
+ "step": 423
2971
+ },
2972
+ {
2973
+ "epoch": 4.9375,
2974
+ "grad_norm": 0.149653822183609,
2975
+ "learning_rate": 5.888454848801345e-06,
2976
+ "loss": 0.0957,
2977
+ "step": 424
2978
+ },
2979
+ {
2980
+ "epoch": 4.94921875,
2981
+ "grad_norm": 0.13323569297790527,
2982
+ "learning_rate": 5.8682408883346535e-06,
2983
+ "loss": 0.0923,
2984
+ "step": 425
2985
+ },
2986
+ {
2987
+ "epoch": 4.9609375,
2988
+ "grad_norm": 0.16845755279064178,
2989
+ "learning_rate": 5.848012285325264e-06,
2990
+ "loss": 0.1047,
2991
+ "step": 426
2992
+ },
2993
+ {
2994
+ "epoch": 4.97265625,
2995
+ "grad_norm": 0.12530267238616943,
2996
+ "learning_rate": 5.82776938092065e-06,
2997
+ "loss": 0.1052,
2998
+ "step": 427
2999
+ },
3000
+ {
3001
+ "epoch": 4.984375,
3002
+ "grad_norm": 0.16033221781253815,
3003
+ "learning_rate": 5.807512516509468e-06,
3004
+ "loss": 0.1021,
3005
+ "step": 428
3006
+ },
3007
+ {
3008
+ "epoch": 4.99609375,
3009
+ "grad_norm": 0.15662384033203125,
3010
+ "learning_rate": 5.787242033715809e-06,
3011
+ "loss": 0.1029,
3012
+ "step": 429
3013
+ },
3014
+ {
3015
+ "epoch": 5.0,
3016
+ "grad_norm": 0.15662384033203125,
3017
+ "learning_rate": 5.766958274393428e-06,
3018
+ "loss": 0.0769,
3019
+ "step": 430
3020
+ },
3021
+ {
3022
+ "epoch": 5.01171875,
3023
+ "grad_norm": 0.23790201544761658,
3024
+ "learning_rate": 5.746661580619985e-06,
3025
+ "loss": 0.0638,
3026
+ "step": 431
3027
+ },
3028
+ {
3029
+ "epoch": 5.0234375,
3030
+ "grad_norm": 0.13754722476005554,
3031
+ "learning_rate": 5.726352294691275e-06,
3032
+ "loss": 0.0464,
3033
+ "step": 432
3034
+ },
3035
+ {
3036
+ "epoch": 5.03515625,
3037
+ "grad_norm": 0.10853724926710129,
3038
+ "learning_rate": 5.706030759115458e-06,
3039
+ "loss": 0.0506,
3040
+ "step": 433
3041
+ },
3042
+ {
3043
+ "epoch": 5.046875,
3044
+ "grad_norm": 0.13977329432964325,
3045
+ "learning_rate": 5.685697316607274e-06,
3046
+ "loss": 0.0551,
3047
+ "step": 434
3048
+ },
3049
+ {
3050
+ "epoch": 5.05859375,
3051
+ "grad_norm": 0.15899504721164703,
3052
+ "learning_rate": 5.66535231008227e-06,
3053
+ "loss": 0.0577,
3054
+ "step": 435
3055
+ },
3056
+ {
3057
+ "epoch": 5.0703125,
3058
+ "grad_norm": 0.15688322484493256,
3059
+ "learning_rate": 5.644996082651018e-06,
3060
+ "loss": 0.0613,
3061
+ "step": 436
3062
+ },
3063
+ {
3064
+ "epoch": 5.08203125,
3065
+ "grad_norm": 0.1396789848804474,
3066
+ "learning_rate": 5.6246289776133246e-06,
3067
+ "loss": 0.0594,
3068
+ "step": 437
3069
+ },
3070
+ {
3071
+ "epoch": 5.09375,
3072
+ "grad_norm": 0.18655186891555786,
3073
+ "learning_rate": 5.604251338452444e-06,
3074
+ "loss": 0.0511,
3075
+ "step": 438
3076
+ },
3077
+ {
3078
+ "epoch": 5.10546875,
3079
+ "grad_norm": 0.1351338028907776,
3080
+ "learning_rate": 5.583863508829281e-06,
3081
+ "loss": 0.0652,
3082
+ "step": 439
3083
+ },
3084
+ {
3085
+ "epoch": 5.1171875,
3086
+ "grad_norm": 0.14356586337089539,
3087
+ "learning_rate": 5.5634658325766066e-06,
3088
+ "loss": 0.0672,
3089
+ "step": 440
3090
+ },
3091
+ {
3092
+ "epoch": 5.12890625,
3093
+ "grad_norm": 0.17796984314918518,
3094
+ "learning_rate": 5.543058653693241e-06,
3095
+ "loss": 0.0604,
3096
+ "step": 441
3097
+ },
3098
+ {
3099
+ "epoch": 5.140625,
3100
+ "grad_norm": 0.14155617356300354,
3101
+ "learning_rate": 5.522642316338268e-06,
3102
+ "loss": 0.0638,
3103
+ "step": 442
3104
+ },
3105
+ {
3106
+ "epoch": 5.15234375,
3107
+ "grad_norm": 0.15060634911060333,
3108
+ "learning_rate": 5.5022171648252265e-06,
3109
+ "loss": 0.0489,
3110
+ "step": 443
3111
+ },
3112
+ {
3113
+ "epoch": 5.1640625,
3114
+ "grad_norm": 0.1309528797864914,
3115
+ "learning_rate": 5.4817835436163e-06,
3116
+ "loss": 0.0561,
3117
+ "step": 444
3118
+ },
3119
+ {
3120
+ "epoch": 5.17578125,
3121
+ "grad_norm": 0.14138580858707428,
3122
+ "learning_rate": 5.46134179731651e-06,
3123
+ "loss": 0.0556,
3124
+ "step": 445
3125
+ },
3126
+ {
3127
+ "epoch": 5.1875,
3128
+ "grad_norm": 0.13814423978328705,
3129
+ "learning_rate": 5.440892270667909e-06,
3130
+ "loss": 0.0614,
3131
+ "step": 446
3132
+ },
3133
+ {
3134
+ "epoch": 5.19921875,
3135
+ "grad_norm": 0.15363521873950958,
3136
+ "learning_rate": 5.420435308543757e-06,
3137
+ "loss": 0.0622,
3138
+ "step": 447
3139
+ },
3140
+ {
3141
+ "epoch": 5.2109375,
3142
+ "grad_norm": 0.12922365963459015,
3143
+ "learning_rate": 5.399971255942708e-06,
3144
+ "loss": 0.0611,
3145
+ "step": 448
3146
+ },
3147
+ {
3148
+ "epoch": 5.22265625,
3149
+ "grad_norm": 0.15916524827480316,
3150
+ "learning_rate": 5.379500457983006e-06,
3151
+ "loss": 0.0611,
3152
+ "step": 449
3153
+ },
3154
+ {
3155
+ "epoch": 5.234375,
3156
+ "grad_norm": 0.14161787927150726,
3157
+ "learning_rate": 5.359023259896638e-06,
3158
+ "loss": 0.0463,
3159
+ "step": 450
3160
+ },
3161
+ {
3162
+ "epoch": 5.24609375,
3163
+ "grad_norm": 0.14080356061458588,
3164
+ "learning_rate": 5.338540007023538e-06,
3165
+ "loss": 0.0574,
3166
+ "step": 451
3167
+ },
3168
+ {
3169
+ "epoch": 5.2578125,
3170
+ "grad_norm": 0.14684629440307617,
3171
+ "learning_rate": 5.318051044805745e-06,
3172
+ "loss": 0.0508,
3173
+ "step": 452
3174
+ },
3175
+ {
3176
+ "epoch": 5.26953125,
3177
+ "grad_norm": 0.14448480308055878,
3178
+ "learning_rate": 5.297556718781588e-06,
3179
+ "loss": 0.0649,
3180
+ "step": 453
3181
+ },
3182
+ {
3183
+ "epoch": 5.28125,
3184
+ "grad_norm": 0.15748435258865356,
3185
+ "learning_rate": 5.27705737457985e-06,
3186
+ "loss": 0.0672,
3187
+ "step": 454
3188
+ },
3189
+ {
3190
+ "epoch": 5.29296875,
3191
+ "grad_norm": 0.13277721405029297,
3192
+ "learning_rate": 5.2565533579139484e-06,
3193
+ "loss": 0.0474,
3194
+ "step": 455
3195
+ },
3196
+ {
3197
+ "epoch": 5.3046875,
3198
+ "grad_norm": 0.14888741075992584,
3199
+ "learning_rate": 5.236045014576098e-06,
3200
+ "loss": 0.0699,
3201
+ "step": 456
3202
+ },
3203
+ {
3204
+ "epoch": 5.31640625,
3205
+ "grad_norm": 0.1279619187116623,
3206
+ "learning_rate": 5.2155326904314795e-06,
3207
+ "loss": 0.0746,
3208
+ "step": 457
3209
+ },
3210
+ {
3211
+ "epoch": 5.328125,
3212
+ "grad_norm": 0.17560450732707977,
3213
+ "learning_rate": 5.1950167314124085e-06,
3214
+ "loss": 0.058,
3215
+ "step": 458
3216
+ },
3217
+ {
3218
+ "epoch": 5.33984375,
3219
+ "grad_norm": 0.15874771773815155,
3220
+ "learning_rate": 5.174497483512506e-06,
3221
+ "loss": 0.0575,
3222
+ "step": 459
3223
+ },
3224
+ {
3225
+ "epoch": 5.3515625,
3226
+ "grad_norm": 0.13492193818092346,
3227
+ "learning_rate": 5.153975292780852e-06,
3228
+ "loss": 0.0469,
3229
+ "step": 460
3230
+ },
3231
+ {
3232
+ "epoch": 5.36328125,
3233
+ "grad_norm": 0.14720965921878815,
3234
+ "learning_rate": 5.133450505316162e-06,
3235
+ "loss": 0.0605,
3236
+ "step": 461
3237
+ },
3238
+ {
3239
+ "epoch": 5.375,
3240
+ "grad_norm": 0.1355433613061905,
3241
+ "learning_rate": 5.112923467260941e-06,
3242
+ "loss": 0.0509,
3243
+ "step": 462
3244
+ },
3245
+ {
3246
+ "epoch": 5.38671875,
3247
+ "grad_norm": 0.15568669140338898,
3248
+ "learning_rate": 5.09239452479565e-06,
3249
+ "loss": 0.0687,
3250
+ "step": 463
3251
+ },
3252
+ {
3253
+ "epoch": 5.3984375,
3254
+ "grad_norm": 0.15161432325839996,
3255
+ "learning_rate": 5.071864024132868e-06,
3256
+ "loss": 0.064,
3257
+ "step": 464
3258
+ },
3259
+ {
3260
+ "epoch": 5.41015625,
3261
+ "grad_norm": 0.17019574344158173,
3262
+ "learning_rate": 5.05133231151145e-06,
3263
+ "loss": 0.0451,
3264
+ "step": 465
3265
+ },
3266
+ {
3267
+ "epoch": 5.421875,
3268
+ "grad_norm": 0.11086393147706985,
3269
+ "learning_rate": 5.030799733190694e-06,
3270
+ "loss": 0.0559,
3271
+ "step": 466
3272
+ },
3273
+ {
3274
+ "epoch": 5.43359375,
3275
+ "grad_norm": 0.15558047592639923,
3276
+ "learning_rate": 5.010266635444495e-06,
3277
+ "loss": 0.0585,
3278
+ "step": 467
3279
+ },
3280
+ {
3281
+ "epoch": 5.4453125,
3282
+ "grad_norm": 0.148808091878891,
3283
+ "learning_rate": 4.989733364555507e-06,
3284
+ "loss": 0.0593,
3285
+ "step": 468
3286
+ },
3287
+ {
3288
+ "epoch": 5.45703125,
3289
+ "grad_norm": 0.158802792429924,
3290
+ "learning_rate": 4.9692002668093075e-06,
3291
+ "loss": 0.0525,
3292
+ "step": 469
3293
+ },
3294
+ {
3295
+ "epoch": 5.46875,
3296
+ "grad_norm": 0.12689101696014404,
3297
+ "learning_rate": 4.948667688488552e-06,
3298
+ "loss": 0.0543,
3299
+ "step": 470
3300
+ },
3301
+ {
3302
+ "epoch": 5.48046875,
3303
+ "grad_norm": 0.13123546540737152,
3304
+ "learning_rate": 4.928135975867134e-06,
3305
+ "loss": 0.0617,
3306
+ "step": 471
3307
+ },
3308
+ {
3309
+ "epoch": 5.4921875,
3310
+ "grad_norm": 0.16200099885463715,
3311
+ "learning_rate": 4.907605475204352e-06,
3312
+ "loss": 0.0588,
3313
+ "step": 472
3314
+ },
3315
+ {
3316
+ "epoch": 5.50390625,
3317
+ "grad_norm": 0.16697384417057037,
3318
+ "learning_rate": 4.887076532739061e-06,
3319
+ "loss": 0.0578,
3320
+ "step": 473
3321
+ },
3322
+ {
3323
+ "epoch": 5.515625,
3324
+ "grad_norm": 0.14646796882152557,
3325
+ "learning_rate": 4.866549494683839e-06,
3326
+ "loss": 0.0781,
3327
+ "step": 474
3328
+ },
3329
+ {
3330
+ "epoch": 5.52734375,
3331
+ "grad_norm": 0.14703866839408875,
3332
+ "learning_rate": 4.846024707219149e-06,
3333
+ "loss": 0.0597,
3334
+ "step": 475
3335
+ },
3336
+ {
3337
+ "epoch": 5.5390625,
3338
+ "grad_norm": 0.1428564488887787,
3339
+ "learning_rate": 4.825502516487497e-06,
3340
+ "loss": 0.0497,
3341
+ "step": 476
3342
+ },
3343
+ {
3344
+ "epoch": 5.55078125,
3345
+ "grad_norm": 0.13470599055290222,
3346
+ "learning_rate": 4.804983268587593e-06,
3347
+ "loss": 0.0574,
3348
+ "step": 477
3349
+ },
3350
+ {
3351
+ "epoch": 5.5625,
3352
+ "grad_norm": 0.13724403083324432,
3353
+ "learning_rate": 4.784467309568524e-06,
3354
+ "loss": 0.0626,
3355
+ "step": 478
3356
+ },
3357
+ {
3358
+ "epoch": 5.57421875,
3359
+ "grad_norm": 0.13949063420295715,
3360
+ "learning_rate": 4.7639549854239045e-06,
3361
+ "loss": 0.0577,
3362
+ "step": 479
3363
+ },
3364
+ {
3365
+ "epoch": 5.5859375,
3366
+ "grad_norm": 0.14538227021694183,
3367
+ "learning_rate": 4.7434466420860515e-06,
3368
+ "loss": 0.054,
3369
+ "step": 480
3370
+ },
3371
+ {
3372
+ "epoch": 5.59765625,
3373
+ "grad_norm": 0.13742738962173462,
3374
+ "learning_rate": 4.7229426254201504e-06,
3375
+ "loss": 0.0541,
3376
+ "step": 481
3377
+ },
3378
+ {
3379
+ "epoch": 5.609375,
3380
+ "grad_norm": 0.1454109251499176,
3381
+ "learning_rate": 4.702443281218413e-06,
3382
+ "loss": 0.0492,
3383
+ "step": 482
3384
+ },
3385
+ {
3386
+ "epoch": 5.62109375,
3387
+ "grad_norm": 0.1340155303478241,
3388
+ "learning_rate": 4.681948955194256e-06,
3389
+ "loss": 0.0519,
3390
+ "step": 483
3391
+ },
3392
+ {
3393
+ "epoch": 5.6328125,
3394
+ "grad_norm": 0.11645597219467163,
3395
+ "learning_rate": 4.661459992976463e-06,
3396
+ "loss": 0.0772,
3397
+ "step": 484
3398
+ },
3399
+ {
3400
+ "epoch": 5.64453125,
3401
+ "grad_norm": 0.1487962156534195,
3402
+ "learning_rate": 4.640976740103363e-06,
3403
+ "loss": 0.0461,
3404
+ "step": 485
3405
+ },
3406
+ {
3407
+ "epoch": 5.65625,
3408
+ "grad_norm": 0.1314113289117813,
3409
+ "learning_rate": 4.620499542016996e-06,
3410
+ "loss": 0.0498,
3411
+ "step": 486
3412
+ },
3413
+ {
3414
+ "epoch": 5.66796875,
3415
+ "grad_norm": 0.11778878420591354,
3416
+ "learning_rate": 4.6000287440572925e-06,
3417
+ "loss": 0.0553,
3418
+ "step": 487
3419
+ },
3420
+ {
3421
+ "epoch": 5.6796875,
3422
+ "grad_norm": 0.14744260907173157,
3423
+ "learning_rate": 4.579564691456245e-06,
3424
+ "loss": 0.0582,
3425
+ "step": 488
3426
+ },
3427
+ {
3428
+ "epoch": 5.69140625,
3429
+ "grad_norm": 0.1958065778017044,
3430
+ "learning_rate": 4.5591077293320925e-06,
3431
+ "loss": 0.0481,
3432
+ "step": 489
3433
+ },
3434
+ {
3435
+ "epoch": 5.703125,
3436
+ "grad_norm": 0.11204442381858826,
3437
+ "learning_rate": 4.53865820268349e-06,
3438
+ "loss": 0.0417,
3439
+ "step": 490
3440
+ },
3441
+ {
3442
+ "epoch": 5.71484375,
3443
+ "grad_norm": 0.14066173136234283,
3444
+ "learning_rate": 4.5182164563837015e-06,
3445
+ "loss": 0.042,
3446
+ "step": 491
3447
+ },
3448
+ {
3449
+ "epoch": 5.7265625,
3450
+ "grad_norm": 0.11793823540210724,
3451
+ "learning_rate": 4.497782835174775e-06,
3452
+ "loss": 0.0536,
3453
+ "step": 492
3454
+ },
3455
+ {
3456
+ "epoch": 5.73828125,
3457
+ "grad_norm": 0.12355687469244003,
3458
+ "learning_rate": 4.477357683661734e-06,
3459
+ "loss": 0.0621,
3460
+ "step": 493
3461
+ },
3462
+ {
3463
+ "epoch": 5.75,
3464
+ "grad_norm": 0.16047550737857819,
3465
+ "learning_rate": 4.456941346306761e-06,
3466
+ "loss": 0.0603,
3467
+ "step": 494
3468
+ },
3469
+ {
3470
+ "epoch": 5.76171875,
3471
+ "grad_norm": 0.1558404564857483,
3472
+ "learning_rate": 4.436534167423395e-06,
3473
+ "loss": 0.0578,
3474
+ "step": 495
3475
+ },
3476
+ {
3477
+ "epoch": 5.7734375,
3478
+ "grad_norm": 0.1236644983291626,
3479
+ "learning_rate": 4.41613649117072e-06,
3480
+ "loss": 0.0455,
3481
+ "step": 496
3482
+ },
3483
+ {
3484
+ "epoch": 5.78515625,
3485
+ "grad_norm": 0.10916972905397415,
3486
+ "learning_rate": 4.395748661547558e-06,
3487
+ "loss": 0.0505,
3488
+ "step": 497
3489
+ },
3490
+ {
3491
+ "epoch": 5.796875,
3492
+ "grad_norm": 0.13890743255615234,
3493
+ "learning_rate": 4.375371022386677e-06,
3494
+ "loss": 0.0476,
3495
+ "step": 498
3496
+ },
3497
+ {
3498
+ "epoch": 5.80859375,
3499
+ "grad_norm": 0.14354218542575836,
3500
+ "learning_rate": 4.355003917348985e-06,
3501
+ "loss": 0.055,
3502
+ "step": 499
3503
+ },
3504
+ {
3505
+ "epoch": 5.8203125,
3506
+ "grad_norm": 0.11266707628965378,
3507
+ "learning_rate": 4.334647689917734e-06,
3508
+ "loss": 0.0429,
3509
+ "step": 500
3510
+ },
3511
+ {
3512
+ "epoch": 5.83203125,
3513
+ "grad_norm": 0.12821117043495178,
3514
+ "learning_rate": 4.314302683392729e-06,
3515
+ "loss": 0.0497,
3516
+ "step": 501
3517
+ },
3518
+ {
3519
+ "epoch": 5.84375,
3520
+ "grad_norm": 0.1462571769952774,
3521
+ "learning_rate": 4.293969240884545e-06,
3522
+ "loss": 0.0563,
3523
+ "step": 502
3524
+ },
3525
+ {
3526
+ "epoch": 5.85546875,
3527
+ "grad_norm": 0.12532669305801392,
3528
+ "learning_rate": 4.273647705308726e-06,
3529
+ "loss": 0.0745,
3530
+ "step": 503
3531
+ },
3532
+ {
3533
+ "epoch": 5.8671875,
3534
+ "grad_norm": 0.4210283160209656,
3535
+ "learning_rate": 4.253338419380016e-06,
3536
+ "loss": 0.0481,
3537
+ "step": 504
3538
+ },
3539
+ {
3540
+ "epoch": 5.87890625,
3541
+ "grad_norm": 0.13547341525554657,
3542
+ "learning_rate": 4.233041725606573e-06,
3543
+ "loss": 0.0609,
3544
+ "step": 505
3545
+ },
3546
+ {
3547
+ "epoch": 5.890625,
3548
+ "grad_norm": 0.11836741119623184,
3549
+ "learning_rate": 4.212757966284191e-06,
3550
+ "loss": 0.051,
3551
+ "step": 506
3552
+ },
3553
+ {
3554
+ "epoch": 5.90234375,
3555
+ "grad_norm": 0.13804543018341064,
3556
+ "learning_rate": 4.192487483490532e-06,
3557
+ "loss": 0.0619,
3558
+ "step": 507
3559
+ },
3560
+ {
3561
+ "epoch": 5.9140625,
3562
+ "grad_norm": 0.1685003638267517,
3563
+ "learning_rate": 4.17223061907935e-06,
3564
+ "loss": 0.0515,
3565
+ "step": 508
3566
+ },
3567
+ {
3568
+ "epoch": 5.92578125,
3569
+ "grad_norm": 0.14643150568008423,
3570
+ "learning_rate": 4.151987714674737e-06,
3571
+ "loss": 0.0538,
3572
+ "step": 509
3573
+ },
3574
+ {
3575
+ "epoch": 5.9375,
3576
+ "grad_norm": 0.11812538653612137,
3577
+ "learning_rate": 4.131759111665349e-06,
3578
+ "loss": 0.0417,
3579
+ "step": 510
3580
+ },
3581
+ {
3582
+ "epoch": 5.94921875,
3583
+ "grad_norm": 0.12235013395547867,
3584
+ "learning_rate": 4.111545151198657e-06,
3585
+ "loss": 0.0488,
3586
+ "step": 511
3587
+ },
3588
+ {
3589
+ "epoch": 5.9609375,
3590
+ "grad_norm": 0.14277981221675873,
3591
+ "learning_rate": 4.091346174175193e-06,
3592
+ "loss": 0.052,
3593
+ "step": 512
3594
+ },
3595
+ {
3596
+ "epoch": 5.97265625,
3597
+ "grad_norm": 0.13800203800201416,
3598
+ "learning_rate": 4.071162521242796e-06,
3599
+ "loss": 0.0462,
3600
+ "step": 513
3601
+ }
3602
+ ],
3603
+ "logging_steps": 1,
3604
+ "max_steps": 850,
3605
+ "num_input_tokens_seen": 0,
3606
+ "num_train_epochs": 10,
3607
+ "save_steps": 171,
3608
+ "stateful_callbacks": {
3609
+ "TrainerControl": {
3610
+ "args": {
3611
+ "should_epoch_stop": false,
3612
+ "should_evaluate": false,
3613
+ "should_log": false,
3614
+ "should_save": true,
3615
+ "should_training_stop": false
3616
+ },
3617
+ "attributes": {}
3618
+ }
3619
+ },
3620
+ "total_flos": 109706402504704.0,
3621
+ "train_batch_size": 1,
3622
+ "trial_name": null,
3623
+ "trial_params": null
3624
+ }
training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:cabd7eea3a1004f1d2ad68be4ea28e77619033566d7b279da3d607abfda7062d
3
+ size 7672
vocab.json ADDED
The diff for this file is too large to render. See raw diff