yuzhounie commited on
Commit
f19e6f3
·
verified ·
1 Parent(s): 9253602

Training in progress, step 400

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 +1,28 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "architectures": [
3
+ "Qwen2ForCausalLM"
4
+ ],
5
+ "attention_dropout": 0.0,
6
+ "bos_token_id": 151643,
7
+ "eos_token_id": 151645,
8
+ "hidden_act": "silu",
9
+ "hidden_size": 3584,
10
+ "initializer_range": 0.02,
11
+ "intermediate_size": 18944,
12
+ "max_position_embeddings": 32768,
13
+ "max_window_layers": 28,
14
+ "model_type": "qwen2",
15
+ "num_attention_heads": 28,
16
+ "num_hidden_layers": 28,
17
+ "num_key_value_heads": 4,
18
+ "rms_norm_eps": 1e-06,
19
+ "rope_scaling": null,
20
+ "rope_theta": 1000000.0,
21
+ "sliding_window": 131072,
22
+ "tie_word_embeddings": false,
23
+ "torch_dtype": "bfloat16",
24
+ "transformers_version": "4.51.3",
25
+ "use_cache": false,
26
+ "use_sliding_window": false,
27
+ "vocab_size": 152064
28
+ }
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 sha256:693b33cc3af5869f11ad00a9d1b2b0685fdfb5d017d4f937b0928583bcfa5c8b
3
+ size 4877660776
model-00002-of-00004.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:5c832c80f31af4bef54b0bbefc7c35b342a506152d5679df4b6815ea81b7fad4
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:e8e51b178ac87d1d8a9ee310727f9f409a6b7cac6120832610a41a15f08a0d85
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:af0454da0757e30802fb3eb1695c3665e25372c99b0eb55668b2acf7c1ec4c56
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": 131072,
204
+ "pad_token": "<|endoftext|>",
205
+ "padding_side": "right",
206
+ "split_special_tokens": false,
207
+ "tokenizer_class": "Qwen2Tokenizer",
208
+ "unk_token": null
209
+ }
trainer_log.jsonl ADDED
@@ -0,0 +1,415 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {"current_steps": 1, "total_steps": 1432, "loss": 1.244, "lr": 0.0, "epoch": 0.0013950244129272262, "percentage": 0.07, "elapsed_time": "0:00:09", "remaining_time": "3:53:25"}
2
+ {"current_steps": 2, "total_steps": 1432, "loss": 1.1223, "lr": 6.944444444444444e-08, "epoch": 0.0027900488258544524, "percentage": 0.14, "elapsed_time": "0:00:22", "remaining_time": "4:28:06"}
3
+ {"current_steps": 3, "total_steps": 1432, "loss": 0.9673, "lr": 1.3888888888888888e-07, "epoch": 0.0041850732387816785, "percentage": 0.21, "elapsed_time": "0:00:29", "remaining_time": "3:50:37"}
4
+ {"current_steps": 4, "total_steps": 1432, "loss": 1.1685, "lr": 2.0833333333333333e-07, "epoch": 0.005580097651708905, "percentage": 0.28, "elapsed_time": "0:00:35", "remaining_time": "3:29:41"}
5
+ {"current_steps": 5, "total_steps": 1432, "loss": 1.0968, "lr": 2.7777777777777776e-07, "epoch": 0.006975122064636131, "percentage": 0.35, "elapsed_time": "0:00:41", "remaining_time": "3:17:13"}
6
+ {"current_steps": 6, "total_steps": 1432, "loss": 1.1373, "lr": 3.472222222222223e-07, "epoch": 0.008370146477563357, "percentage": 0.42, "elapsed_time": "0:00:48", "remaining_time": "3:10:30"}
7
+ {"current_steps": 7, "total_steps": 1432, "loss": 1.2183, "lr": 4.1666666666666667e-07, "epoch": 0.009765170890490584, "percentage": 0.49, "elapsed_time": "0:00:55", "remaining_time": "3:08:29"}
8
+ {"current_steps": 8, "total_steps": 1432, "loss": 1.2232, "lr": 4.861111111111112e-07, "epoch": 0.01116019530341781, "percentage": 0.56, "elapsed_time": "0:01:02", "remaining_time": "3:06:12"}
9
+ {"current_steps": 9, "total_steps": 1432, "loss": 1.0223, "lr": 5.555555555555555e-07, "epoch": 0.012555219716345037, "percentage": 0.63, "elapsed_time": "0:01:09", "remaining_time": "3:04:02"}
10
+ {"current_steps": 10, "total_steps": 1432, "loss": 1.0451, "lr": 6.25e-07, "epoch": 0.013950244129272262, "percentage": 0.7, "elapsed_time": "0:01:16", "remaining_time": "3:02:02"}
11
+ {"current_steps": 11, "total_steps": 1432, "loss": 1.0904, "lr": 6.944444444444446e-07, "epoch": 0.015345268542199489, "percentage": 0.77, "elapsed_time": "0:01:22", "remaining_time": "2:58:39"}
12
+ {"current_steps": 12, "total_steps": 1432, "loss": 1.0017, "lr": 7.63888888888889e-07, "epoch": 0.016740292955126714, "percentage": 0.84, "elapsed_time": "0:01:33", "remaining_time": "3:04:39"}
13
+ {"current_steps": 13, "total_steps": 1432, "loss": 1.1195, "lr": 8.333333333333333e-07, "epoch": 0.01813531736805394, "percentage": 0.91, "elapsed_time": "0:01:39", "remaining_time": "3:01:27"}
14
+ {"current_steps": 14, "total_steps": 1432, "loss": 1.1526, "lr": 9.027777777777779e-07, "epoch": 0.01953034178098117, "percentage": 0.98, "elapsed_time": "0:01:46", "remaining_time": "2:59:02"}
15
+ {"current_steps": 15, "total_steps": 1432, "loss": 0.9568, "lr": 9.722222222222224e-07, "epoch": 0.020925366193908394, "percentage": 1.05, "elapsed_time": "0:01:52", "remaining_time": "2:57:10"}
16
+ {"current_steps": 16, "total_steps": 1432, "loss": 1.0338, "lr": 1.0416666666666667e-06, "epoch": 0.02232039060683562, "percentage": 1.12, "elapsed_time": "0:01:59", "remaining_time": "2:56:33"}
17
+ {"current_steps": 17, "total_steps": 1432, "loss": 0.8272, "lr": 1.111111111111111e-06, "epoch": 0.023715415019762844, "percentage": 1.19, "elapsed_time": "0:02:06", "remaining_time": "2:55:59"}
18
+ {"current_steps": 18, "total_steps": 1432, "loss": 1.1201, "lr": 1.1805555555555556e-06, "epoch": 0.025110439432690073, "percentage": 1.26, "elapsed_time": "0:02:14", "remaining_time": "2:56:29"}
19
+ {"current_steps": 19, "total_steps": 1432, "loss": 0.873, "lr": 1.25e-06, "epoch": 0.0265054638456173, "percentage": 1.33, "elapsed_time": "0:02:21", "remaining_time": "2:55:44"}
20
+ {"current_steps": 20, "total_steps": 1432, "loss": 0.9899, "lr": 1.3194444444444446e-06, "epoch": 0.027900488258544524, "percentage": 1.4, "elapsed_time": "0:02:28", "remaining_time": "2:54:57"}
21
+ {"current_steps": 21, "total_steps": 1432, "loss": 0.942, "lr": 1.3888888888888892e-06, "epoch": 0.029295512671471752, "percentage": 1.47, "elapsed_time": "0:02:37", "remaining_time": "2:56:20"}
22
+ {"current_steps": 22, "total_steps": 1432, "loss": 0.9865, "lr": 1.4583333333333335e-06, "epoch": 0.030690537084398978, "percentage": 1.54, "elapsed_time": "0:02:43", "remaining_time": "2:55:04"}
23
+ {"current_steps": 23, "total_steps": 1432, "loss": 0.9614, "lr": 1.527777777777778e-06, "epoch": 0.03208556149732621, "percentage": 1.61, "elapsed_time": "0:02:52", "remaining_time": "2:56:21"}
24
+ {"current_steps": 24, "total_steps": 1432, "loss": 0.8257, "lr": 1.5972222222222221e-06, "epoch": 0.03348058591025343, "percentage": 1.68, "elapsed_time": "0:03:02", "remaining_time": "2:58:55"}
25
+ {"current_steps": 25, "total_steps": 1432, "loss": 0.9127, "lr": 1.6666666666666667e-06, "epoch": 0.03487561032318066, "percentage": 1.75, "elapsed_time": "0:03:09", "remaining_time": "2:57:26"}
26
+ {"current_steps": 26, "total_steps": 1432, "loss": 0.9278, "lr": 1.7361111111111112e-06, "epoch": 0.03627063473610788, "percentage": 1.82, "elapsed_time": "0:03:15", "remaining_time": "2:56:01"}
27
+ {"current_steps": 27, "total_steps": 1432, "loss": 0.9556, "lr": 1.8055555555555557e-06, "epoch": 0.03766565914903511, "percentage": 1.89, "elapsed_time": "0:03:22", "remaining_time": "2:55:12"}
28
+ {"current_steps": 28, "total_steps": 1432, "loss": 0.8878, "lr": 1.8750000000000003e-06, "epoch": 0.03906068356196234, "percentage": 1.96, "elapsed_time": "0:03:34", "remaining_time": "2:59:12"}
29
+ {"current_steps": 29, "total_steps": 1432, "loss": 0.885, "lr": 1.944444444444445e-06, "epoch": 0.04045570797488956, "percentage": 2.03, "elapsed_time": "0:03:44", "remaining_time": "3:00:41"}
30
+ {"current_steps": 30, "total_steps": 1432, "loss": 0.886, "lr": 2.0138888888888893e-06, "epoch": 0.04185073238781679, "percentage": 2.09, "elapsed_time": "0:03:50", "remaining_time": "2:59:54"}
31
+ {"current_steps": 31, "total_steps": 1432, "loss": 0.8223, "lr": 2.0833333333333334e-06, "epoch": 0.043245756800744016, "percentage": 2.16, "elapsed_time": "0:04:01", "remaining_time": "3:02:15"}
32
+ {"current_steps": 32, "total_steps": 1432, "loss": 0.8934, "lr": 2.152777777777778e-06, "epoch": 0.04464078121367124, "percentage": 2.23, "elapsed_time": "0:04:08", "remaining_time": "3:00:50"}
33
+ {"current_steps": 33, "total_steps": 1432, "loss": 0.9336, "lr": 2.222222222222222e-06, "epoch": 0.04603580562659847, "percentage": 2.3, "elapsed_time": "0:04:15", "remaining_time": "3:00:15"}
34
+ {"current_steps": 34, "total_steps": 1432, "loss": 0.8879, "lr": 2.2916666666666666e-06, "epoch": 0.04743083003952569, "percentage": 2.37, "elapsed_time": "0:04:22", "remaining_time": "2:59:34"}
35
+ {"current_steps": 35, "total_steps": 1432, "loss": 0.8922, "lr": 2.361111111111111e-06, "epoch": 0.04882585445245292, "percentage": 2.44, "elapsed_time": "0:04:32", "remaining_time": "3:00:56"}
36
+ {"current_steps": 36, "total_steps": 1432, "loss": 0.9343, "lr": 2.4305555555555557e-06, "epoch": 0.050220878865380146, "percentage": 2.51, "elapsed_time": "0:04:40", "remaining_time": "3:01:36"}
37
+ {"current_steps": 37, "total_steps": 1432, "loss": 0.8324, "lr": 2.5e-06, "epoch": 0.05161590327830737, "percentage": 2.58, "elapsed_time": "0:04:47", "remaining_time": "3:00:29"}
38
+ {"current_steps": 38, "total_steps": 1432, "loss": 0.7873, "lr": 2.5694444444444443e-06, "epoch": 0.0530109276912346, "percentage": 2.65, "elapsed_time": "0:04:56", "remaining_time": "3:01:20"}
39
+ {"current_steps": 39, "total_steps": 1432, "loss": 0.8887, "lr": 2.6388888888888893e-06, "epoch": 0.054405952104161825, "percentage": 2.72, "elapsed_time": "0:05:04", "remaining_time": "3:01:13"}
40
+ {"current_steps": 40, "total_steps": 1432, "loss": 0.8288, "lr": 2.7083333333333334e-06, "epoch": 0.05580097651708905, "percentage": 2.79, "elapsed_time": "0:05:11", "remaining_time": "3:00:29"}
41
+ {"current_steps": 41, "total_steps": 1432, "loss": 0.8025, "lr": 2.7777777777777783e-06, "epoch": 0.057196000930016276, "percentage": 2.86, "elapsed_time": "0:05:18", "remaining_time": "3:00:10"}
42
+ {"current_steps": 42, "total_steps": 1432, "loss": 0.7969, "lr": 2.8472222222222224e-06, "epoch": 0.058591025342943505, "percentage": 2.93, "elapsed_time": "0:05:25", "remaining_time": "2:59:42"}
43
+ {"current_steps": 43, "total_steps": 1432, "loss": 0.7796, "lr": 2.916666666666667e-06, "epoch": 0.05998604975587073, "percentage": 3.0, "elapsed_time": "0:05:35", "remaining_time": "3:00:51"}
44
+ {"current_steps": 44, "total_steps": 1432, "loss": 0.8146, "lr": 2.986111111111111e-06, "epoch": 0.061381074168797956, "percentage": 3.07, "elapsed_time": "0:05:42", "remaining_time": "3:00:02"}
45
+ {"current_steps": 45, "total_steps": 1432, "loss": 0.8706, "lr": 3.055555555555556e-06, "epoch": 0.06277609858172518, "percentage": 3.14, "elapsed_time": "0:05:48", "remaining_time": "2:59:04"}
46
+ {"current_steps": 46, "total_steps": 1432, "loss": 0.7553, "lr": 3.125e-06, "epoch": 0.06417112299465241, "percentage": 3.21, "elapsed_time": "0:05:55", "remaining_time": "2:58:41"}
47
+ {"current_steps": 47, "total_steps": 1432, "loss": 0.835, "lr": 3.1944444444444443e-06, "epoch": 0.06556614740757963, "percentage": 3.28, "elapsed_time": "0:06:02", "remaining_time": "2:58:05"}
48
+ {"current_steps": 48, "total_steps": 1432, "loss": 0.8358, "lr": 3.2638888888888892e-06, "epoch": 0.06696117182050686, "percentage": 3.35, "elapsed_time": "0:06:09", "remaining_time": "2:57:20"}
49
+ {"current_steps": 49, "total_steps": 1432, "loss": 0.8573, "lr": 3.3333333333333333e-06, "epoch": 0.06835619623343409, "percentage": 3.42, "elapsed_time": "0:06:17", "remaining_time": "2:57:32"}
50
+ {"current_steps": 50, "total_steps": 1432, "loss": 0.8155, "lr": 3.4027777777777783e-06, "epoch": 0.06975122064636131, "percentage": 3.49, "elapsed_time": "0:06:23", "remaining_time": "2:56:52"}
51
+ {"current_steps": 51, "total_steps": 1432, "loss": 0.8718, "lr": 3.4722222222222224e-06, "epoch": 0.07114624505928854, "percentage": 3.56, "elapsed_time": "0:06:33", "remaining_time": "2:57:43"}
52
+ {"current_steps": 52, "total_steps": 1432, "loss": 0.8143, "lr": 3.5416666666666673e-06, "epoch": 0.07254126947221576, "percentage": 3.63, "elapsed_time": "0:06:40", "remaining_time": "2:57:17"}
53
+ {"current_steps": 53, "total_steps": 1432, "loss": 0.8129, "lr": 3.6111111111111115e-06, "epoch": 0.07393629388514299, "percentage": 3.7, "elapsed_time": "0:06:47", "remaining_time": "2:56:30"}
54
+ {"current_steps": 54, "total_steps": 1432, "loss": 0.8431, "lr": 3.680555555555556e-06, "epoch": 0.07533131829807022, "percentage": 3.77, "elapsed_time": "0:06:56", "remaining_time": "2:57:19"}
55
+ {"current_steps": 55, "total_steps": 1432, "loss": 0.7949, "lr": 3.7500000000000005e-06, "epoch": 0.07672634271099744, "percentage": 3.84, "elapsed_time": "0:07:06", "remaining_time": "2:57:48"}
56
+ {"current_steps": 56, "total_steps": 1432, "loss": 0.8349, "lr": 3.819444444444444e-06, "epoch": 0.07812136712392467, "percentage": 3.91, "elapsed_time": "0:07:14", "remaining_time": "2:57:45"}
57
+ {"current_steps": 57, "total_steps": 1432, "loss": 0.8001, "lr": 3.88888888888889e-06, "epoch": 0.07951639153685189, "percentage": 3.98, "elapsed_time": "0:07:20", "remaining_time": "2:57:00"}
58
+ {"current_steps": 58, "total_steps": 1432, "loss": 0.7853, "lr": 3.958333333333333e-06, "epoch": 0.08091141594977912, "percentage": 4.05, "elapsed_time": "0:07:26", "remaining_time": "2:56:27"}
59
+ {"current_steps": 59, "total_steps": 1432, "loss": 0.8858, "lr": 4.027777777777779e-06, "epoch": 0.08230644036270635, "percentage": 4.12, "elapsed_time": "0:07:37", "remaining_time": "2:57:19"}
60
+ {"current_steps": 60, "total_steps": 1432, "loss": 0.7484, "lr": 4.097222222222222e-06, "epoch": 0.08370146477563357, "percentage": 4.19, "elapsed_time": "0:07:45", "remaining_time": "2:57:13"}
61
+ {"current_steps": 61, "total_steps": 1432, "loss": 0.7395, "lr": 4.166666666666667e-06, "epoch": 0.0850964891885608, "percentage": 4.26, "elapsed_time": "0:07:52", "remaining_time": "2:57:02"}
62
+ {"current_steps": 62, "total_steps": 1432, "loss": 0.8383, "lr": 4.236111111111111e-06, "epoch": 0.08649151360148803, "percentage": 4.33, "elapsed_time": "0:08:01", "remaining_time": "2:57:12"}
63
+ {"current_steps": 63, "total_steps": 1432, "loss": 0.7387, "lr": 4.305555555555556e-06, "epoch": 0.08788653801441525, "percentage": 4.4, "elapsed_time": "0:08:08", "remaining_time": "2:57:01"}
64
+ {"current_steps": 64, "total_steps": 1432, "loss": 0.8378, "lr": 4.3750000000000005e-06, "epoch": 0.08928156242734248, "percentage": 4.47, "elapsed_time": "0:08:19", "remaining_time": "2:57:57"}
65
+ {"current_steps": 65, "total_steps": 1432, "loss": 0.7606, "lr": 4.444444444444444e-06, "epoch": 0.0906765868402697, "percentage": 4.54, "elapsed_time": "0:08:28", "remaining_time": "2:58:09"}
66
+ {"current_steps": 66, "total_steps": 1432, "loss": 0.8067, "lr": 4.5138888888888895e-06, "epoch": 0.09207161125319693, "percentage": 4.61, "elapsed_time": "0:08:37", "remaining_time": "2:58:38"}
67
+ {"current_steps": 67, "total_steps": 1432, "loss": 0.8517, "lr": 4.583333333333333e-06, "epoch": 0.09346663566612416, "percentage": 4.68, "elapsed_time": "0:08:47", "remaining_time": "2:59:11"}
68
+ {"current_steps": 68, "total_steps": 1432, "loss": 0.8104, "lr": 4.652777777777779e-06, "epoch": 0.09486166007905138, "percentage": 4.75, "elapsed_time": "0:08:54", "remaining_time": "2:58:43"}
69
+ {"current_steps": 69, "total_steps": 1432, "loss": 0.7562, "lr": 4.722222222222222e-06, "epoch": 0.0962566844919786, "percentage": 4.82, "elapsed_time": "0:09:02", "remaining_time": "2:58:35"}
70
+ {"current_steps": 70, "total_steps": 1432, "loss": 0.7245, "lr": 4.791666666666668e-06, "epoch": 0.09765170890490583, "percentage": 4.89, "elapsed_time": "0:09:09", "remaining_time": "2:58:08"}
71
+ {"current_steps": 71, "total_steps": 1432, "loss": 0.7604, "lr": 4.861111111111111e-06, "epoch": 0.09904673331783306, "percentage": 4.96, "elapsed_time": "0:09:18", "remaining_time": "2:58:22"}
72
+ {"current_steps": 72, "total_steps": 1432, "loss": 0.7614, "lr": 4.930555555555556e-06, "epoch": 0.10044175773076029, "percentage": 5.03, "elapsed_time": "0:09:24", "remaining_time": "2:57:40"}
73
+ {"current_steps": 73, "total_steps": 1432, "loss": 0.7708, "lr": 5e-06, "epoch": 0.10183678214368752, "percentage": 5.1, "elapsed_time": "0:09:31", "remaining_time": "2:57:17"}
74
+ {"current_steps": 74, "total_steps": 1432, "loss": 0.781, "lr": 5.069444444444445e-06, "epoch": 0.10323180655661474, "percentage": 5.17, "elapsed_time": "0:09:37", "remaining_time": "2:56:37"}
75
+ {"current_steps": 75, "total_steps": 1432, "loss": 0.7617, "lr": 5.138888888888889e-06, "epoch": 0.10462683096954196, "percentage": 5.24, "elapsed_time": "0:09:47", "remaining_time": "2:57:06"}
76
+ {"current_steps": 76, "total_steps": 1432, "loss": 0.6586, "lr": 5.208333333333334e-06, "epoch": 0.1060218553824692, "percentage": 5.31, "elapsed_time": "0:09:53", "remaining_time": "2:56:27"}
77
+ {"current_steps": 77, "total_steps": 1432, "loss": 0.6515, "lr": 5.2777777777777785e-06, "epoch": 0.10741687979539642, "percentage": 5.38, "elapsed_time": "0:09:59", "remaining_time": "2:55:52"}
78
+ {"current_steps": 78, "total_steps": 1432, "loss": 0.7987, "lr": 5.347222222222222e-06, "epoch": 0.10881190420832365, "percentage": 5.45, "elapsed_time": "0:10:10", "remaining_time": "2:56:38"}
79
+ {"current_steps": 79, "total_steps": 1432, "loss": 0.7797, "lr": 5.416666666666667e-06, "epoch": 0.11020692862125087, "percentage": 5.52, "elapsed_time": "0:10:16", "remaining_time": "2:56:05"}
80
+ {"current_steps": 80, "total_steps": 1432, "loss": 0.8144, "lr": 5.486111111111112e-06, "epoch": 0.1116019530341781, "percentage": 5.59, "elapsed_time": "0:10:23", "remaining_time": "2:55:36"}
81
+ {"current_steps": 81, "total_steps": 1432, "loss": 0.7718, "lr": 5.555555555555557e-06, "epoch": 0.11299697744710532, "percentage": 5.66, "elapsed_time": "0:10:31", "remaining_time": "2:55:33"}
82
+ {"current_steps": 82, "total_steps": 1432, "loss": 0.8642, "lr": 5.625e-06, "epoch": 0.11439200186003255, "percentage": 5.73, "elapsed_time": "0:10:38", "remaining_time": "2:55:15"}
83
+ {"current_steps": 83, "total_steps": 1432, "loss": 0.7585, "lr": 5.694444444444445e-06, "epoch": 0.11578702627295978, "percentage": 5.8, "elapsed_time": "0:10:45", "remaining_time": "2:54:45"}
84
+ {"current_steps": 84, "total_steps": 1432, "loss": 0.7652, "lr": 5.7638888888888886e-06, "epoch": 0.11718205068588701, "percentage": 5.87, "elapsed_time": "0:10:55", "remaining_time": "2:55:26"}
85
+ {"current_steps": 85, "total_steps": 1432, "loss": 0.7593, "lr": 5.833333333333334e-06, "epoch": 0.11857707509881422, "percentage": 5.94, "elapsed_time": "0:11:05", "remaining_time": "2:55:50"}
86
+ {"current_steps": 86, "total_steps": 1432, "loss": 0.6797, "lr": 5.9027777777777785e-06, "epoch": 0.11997209951174145, "percentage": 6.01, "elapsed_time": "0:11:12", "remaining_time": "2:55:25"}
87
+ {"current_steps": 87, "total_steps": 1432, "loss": 0.8135, "lr": 5.972222222222222e-06, "epoch": 0.12136712392466868, "percentage": 6.08, "elapsed_time": "0:11:19", "remaining_time": "2:54:59"}
88
+ {"current_steps": 88, "total_steps": 1432, "loss": 0.8272, "lr": 6.041666666666667e-06, "epoch": 0.12276214833759591, "percentage": 6.15, "elapsed_time": "0:11:28", "remaining_time": "2:55:17"}
89
+ {"current_steps": 89, "total_steps": 1432, "loss": 0.8588, "lr": 6.111111111111112e-06, "epoch": 0.12415717275052314, "percentage": 6.22, "elapsed_time": "0:11:37", "remaining_time": "2:55:30"}
90
+ {"current_steps": 90, "total_steps": 1432, "loss": 0.7559, "lr": 6.180555555555557e-06, "epoch": 0.12555219716345037, "percentage": 6.28, "elapsed_time": "0:11:44", "remaining_time": "2:54:58"}
91
+ {"current_steps": 91, "total_steps": 1432, "loss": 0.7523, "lr": 6.25e-06, "epoch": 0.12694722157637758, "percentage": 6.35, "elapsed_time": "0:11:50", "remaining_time": "2:54:25"}
92
+ {"current_steps": 92, "total_steps": 1432, "loss": 0.7976, "lr": 6.319444444444445e-06, "epoch": 0.12834224598930483, "percentage": 6.42, "elapsed_time": "0:11:56", "remaining_time": "2:53:51"}
93
+ {"current_steps": 93, "total_steps": 1432, "loss": 0.7603, "lr": 6.3888888888888885e-06, "epoch": 0.12973727040223204, "percentage": 6.49, "elapsed_time": "0:12:02", "remaining_time": "2:53:20"}
94
+ {"current_steps": 94, "total_steps": 1432, "loss": 0.7177, "lr": 6.458333333333334e-06, "epoch": 0.13113229481515926, "percentage": 6.56, "elapsed_time": "0:12:08", "remaining_time": "2:52:53"}
95
+ {"current_steps": 95, "total_steps": 1432, "loss": 0.6637, "lr": 6.5277777777777784e-06, "epoch": 0.1325273192280865, "percentage": 6.63, "elapsed_time": "0:12:17", "remaining_time": "2:52:53"}
96
+ {"current_steps": 96, "total_steps": 1432, "loss": 0.7543, "lr": 6.597222222222223e-06, "epoch": 0.1339223436410137, "percentage": 6.7, "elapsed_time": "0:12:24", "remaining_time": "2:52:37"}
97
+ {"current_steps": 97, "total_steps": 1432, "loss": 0.748, "lr": 6.666666666666667e-06, "epoch": 0.13531736805394096, "percentage": 6.77, "elapsed_time": "0:12:30", "remaining_time": "2:52:07"}
98
+ {"current_steps": 98, "total_steps": 1432, "loss": 0.7078, "lr": 6.736111111111112e-06, "epoch": 0.13671239246686817, "percentage": 6.84, "elapsed_time": "0:12:38", "remaining_time": "2:51:59"}
99
+ {"current_steps": 99, "total_steps": 1432, "loss": 0.7778, "lr": 6.8055555555555566e-06, "epoch": 0.13810741687979539, "percentage": 6.91, "elapsed_time": "0:12:45", "remaining_time": "2:51:42"}
100
+ {"current_steps": 100, "total_steps": 1432, "loss": 0.7, "lr": 6.875e-06, "epoch": 0.13950244129272263, "percentage": 6.98, "elapsed_time": "0:12:54", "remaining_time": "2:51:58"}
101
+ {"current_steps": 101, "total_steps": 1432, "loss": 0.7845, "lr": 6.944444444444445e-06, "epoch": 0.14089746570564984, "percentage": 7.05, "elapsed_time": "0:13:01", "remaining_time": "2:51:44"}
102
+ {"current_steps": 102, "total_steps": 1432, "loss": 0.7741, "lr": 7.013888888888889e-06, "epoch": 0.1422924901185771, "percentage": 7.12, "elapsed_time": "0:13:09", "remaining_time": "2:51:36"}
103
+ {"current_steps": 103, "total_steps": 1432, "loss": 0.7321, "lr": 7.083333333333335e-06, "epoch": 0.1436875145315043, "percentage": 7.19, "elapsed_time": "0:13:17", "remaining_time": "2:51:35"}
104
+ {"current_steps": 104, "total_steps": 1432, "loss": 0.7301, "lr": 7.152777777777778e-06, "epoch": 0.14508253894443152, "percentage": 7.26, "elapsed_time": "0:13:26", "remaining_time": "2:51:34"}
105
+ {"current_steps": 105, "total_steps": 1432, "loss": 0.7168, "lr": 7.222222222222223e-06, "epoch": 0.14647756335735876, "percentage": 7.33, "elapsed_time": "0:13:34", "remaining_time": "2:51:39"}
106
+ {"current_steps": 106, "total_steps": 1432, "loss": 0.7122, "lr": 7.291666666666667e-06, "epoch": 0.14787258777028597, "percentage": 7.4, "elapsed_time": "0:13:44", "remaining_time": "2:51:53"}
107
+ {"current_steps": 107, "total_steps": 1432, "loss": 0.7777, "lr": 7.361111111111112e-06, "epoch": 0.14926761218321322, "percentage": 7.47, "elapsed_time": "0:13:50", "remaining_time": "2:51:27"}
108
+ {"current_steps": 108, "total_steps": 1432, "loss": 0.76, "lr": 7.4305555555555565e-06, "epoch": 0.15066263659614043, "percentage": 7.54, "elapsed_time": "0:14:01", "remaining_time": "2:51:51"}
109
+ {"current_steps": 109, "total_steps": 1432, "loss": 0.9409, "lr": 7.500000000000001e-06, "epoch": 0.15205766100906765, "percentage": 7.61, "elapsed_time": "0:14:07", "remaining_time": "2:51:31"}
110
+ {"current_steps": 110, "total_steps": 1432, "loss": 0.6928, "lr": 7.569444444444445e-06, "epoch": 0.1534526854219949, "percentage": 7.68, "elapsed_time": "0:14:16", "remaining_time": "2:51:39"}
111
+ {"current_steps": 111, "total_steps": 1432, "loss": 0.7331, "lr": 7.638888888888888e-06, "epoch": 0.1548477098349221, "percentage": 7.75, "elapsed_time": "0:14:23", "remaining_time": "2:51:16"}
112
+ {"current_steps": 112, "total_steps": 1432, "loss": 0.7734, "lr": 7.708333333333334e-06, "epoch": 0.15624273424784935, "percentage": 7.82, "elapsed_time": "0:14:30", "remaining_time": "2:51:01"}
113
+ {"current_steps": 113, "total_steps": 1432, "loss": 0.7568, "lr": 7.77777777777778e-06, "epoch": 0.15763775866077656, "percentage": 7.89, "elapsed_time": "0:14:39", "remaining_time": "2:51:11"}
114
+ {"current_steps": 114, "total_steps": 1432, "loss": 0.7813, "lr": 7.847222222222223e-06, "epoch": 0.15903278307370378, "percentage": 7.96, "elapsed_time": "0:14:49", "remaining_time": "2:51:20"}
115
+ {"current_steps": 115, "total_steps": 1432, "loss": 0.773, "lr": 7.916666666666667e-06, "epoch": 0.16042780748663102, "percentage": 8.03, "elapsed_time": "0:14:55", "remaining_time": "2:50:54"}
116
+ {"current_steps": 116, "total_steps": 1432, "loss": 0.7423, "lr": 7.986111111111112e-06, "epoch": 0.16182283189955823, "percentage": 8.1, "elapsed_time": "0:15:03", "remaining_time": "2:50:46"}
117
+ {"current_steps": 117, "total_steps": 1432, "loss": 0.8085, "lr": 8.055555555555557e-06, "epoch": 0.16321785631248548, "percentage": 8.17, "elapsed_time": "0:15:12", "remaining_time": "2:50:59"}
118
+ {"current_steps": 118, "total_steps": 1432, "loss": 0.7602, "lr": 8.125000000000001e-06, "epoch": 0.1646128807254127, "percentage": 8.24, "elapsed_time": "0:15:22", "remaining_time": "2:51:16"}
119
+ {"current_steps": 119, "total_steps": 1432, "loss": 0.7348, "lr": 8.194444444444445e-06, "epoch": 0.16600790513833993, "percentage": 8.31, "elapsed_time": "0:15:34", "remaining_time": "2:51:51"}
120
+ {"current_steps": 120, "total_steps": 1432, "loss": 0.7398, "lr": 8.263888888888888e-06, "epoch": 0.16740292955126715, "percentage": 8.38, "elapsed_time": "0:15:44", "remaining_time": "2:52:08"}
121
+ {"current_steps": 121, "total_steps": 1432, "loss": 0.7636, "lr": 8.333333333333334e-06, "epoch": 0.16879795396419436, "percentage": 8.45, "elapsed_time": "0:15:59", "remaining_time": "2:53:11"}
122
+ {"current_steps": 122, "total_steps": 1432, "loss": 0.7799, "lr": 8.402777777777779e-06, "epoch": 0.1701929783771216, "percentage": 8.52, "elapsed_time": "0:16:09", "remaining_time": "2:53:25"}
123
+ {"current_steps": 123, "total_steps": 1432, "loss": 0.8096, "lr": 8.472222222222223e-06, "epoch": 0.17158800279004882, "percentage": 8.59, "elapsed_time": "0:16:16", "remaining_time": "2:53:09"}
124
+ {"current_steps": 124, "total_steps": 1432, "loss": 0.7566, "lr": 8.541666666666666e-06, "epoch": 0.17298302720297606, "percentage": 8.66, "elapsed_time": "0:16:22", "remaining_time": "2:52:42"}
125
+ {"current_steps": 125, "total_steps": 1432, "loss": 0.7885, "lr": 8.611111111111112e-06, "epoch": 0.17437805161590328, "percentage": 8.73, "elapsed_time": "0:16:28", "remaining_time": "2:52:20"}
126
+ {"current_steps": 126, "total_steps": 1432, "loss": 0.7747, "lr": 8.680555555555557e-06, "epoch": 0.1757730760288305, "percentage": 8.8, "elapsed_time": "0:16:35", "remaining_time": "2:51:56"}
127
+ {"current_steps": 127, "total_steps": 1432, "loss": 0.7827, "lr": 8.750000000000001e-06, "epoch": 0.17716810044175774, "percentage": 8.87, "elapsed_time": "0:16:41", "remaining_time": "2:51:31"}
128
+ {"current_steps": 128, "total_steps": 1432, "loss": 0.775, "lr": 8.819444444444445e-06, "epoch": 0.17856312485468495, "percentage": 8.94, "elapsed_time": "0:16:49", "remaining_time": "2:51:24"}
129
+ {"current_steps": 129, "total_steps": 1432, "loss": 0.8468, "lr": 8.888888888888888e-06, "epoch": 0.1799581492676122, "percentage": 9.01, "elapsed_time": "0:16:59", "remaining_time": "2:51:38"}
130
+ {"current_steps": 130, "total_steps": 1432, "loss": 0.7555, "lr": 8.958333333333334e-06, "epoch": 0.1813531736805394, "percentage": 9.08, "elapsed_time": "0:17:05", "remaining_time": "2:51:12"}
131
+ {"current_steps": 131, "total_steps": 1432, "loss": 0.6983, "lr": 9.027777777777779e-06, "epoch": 0.18274819809346662, "percentage": 9.15, "elapsed_time": "0:17:13", "remaining_time": "2:51:00"}
132
+ {"current_steps": 132, "total_steps": 1432, "loss": 0.8095, "lr": 9.097222222222223e-06, "epoch": 0.18414322250639387, "percentage": 9.22, "elapsed_time": "0:17:19", "remaining_time": "2:50:39"}
133
+ {"current_steps": 133, "total_steps": 1432, "loss": 0.7669, "lr": 9.166666666666666e-06, "epoch": 0.18553824691932108, "percentage": 9.29, "elapsed_time": "0:17:28", "remaining_time": "2:50:43"}
134
+ {"current_steps": 134, "total_steps": 1432, "loss": 0.7445, "lr": 9.236111111111112e-06, "epoch": 0.18693327133224832, "percentage": 9.36, "elapsed_time": "0:17:38", "remaining_time": "2:50:49"}
135
+ {"current_steps": 135, "total_steps": 1432, "loss": 0.8222, "lr": 9.305555555555557e-06, "epoch": 0.18832829574517554, "percentage": 9.43, "elapsed_time": "0:17:45", "remaining_time": "2:50:34"}
136
+ {"current_steps": 136, "total_steps": 1432, "loss": 0.7993, "lr": 9.375000000000001e-06, "epoch": 0.18972332015810275, "percentage": 9.5, "elapsed_time": "0:17:54", "remaining_time": "2:50:41"}
137
+ {"current_steps": 137, "total_steps": 1432, "loss": 0.7553, "lr": 9.444444444444445e-06, "epoch": 0.19111834457103, "percentage": 9.57, "elapsed_time": "0:18:01", "remaining_time": "2:50:24"}
138
+ {"current_steps": 138, "total_steps": 1432, "loss": 0.7893, "lr": 9.51388888888889e-06, "epoch": 0.1925133689839572, "percentage": 9.64, "elapsed_time": "0:18:07", "remaining_time": "2:50:01"}
139
+ {"current_steps": 139, "total_steps": 1432, "loss": 0.7435, "lr": 9.583333333333335e-06, "epoch": 0.19390839339688445, "percentage": 9.71, "elapsed_time": "0:18:15", "remaining_time": "2:49:48"}
140
+ {"current_steps": 140, "total_steps": 1432, "loss": 0.7991, "lr": 9.652777777777779e-06, "epoch": 0.19530341780981167, "percentage": 9.78, "elapsed_time": "0:18:21", "remaining_time": "2:49:24"}
141
+ {"current_steps": 141, "total_steps": 1432, "loss": 0.8204, "lr": 9.722222222222223e-06, "epoch": 0.1966984422227389, "percentage": 9.85, "elapsed_time": "0:18:27", "remaining_time": "2:49:03"}
142
+ {"current_steps": 142, "total_steps": 1432, "loss": 0.764, "lr": 9.791666666666666e-06, "epoch": 0.19809346663566613, "percentage": 9.92, "elapsed_time": "0:18:34", "remaining_time": "2:48:45"}
143
+ {"current_steps": 143, "total_steps": 1432, "loss": 0.7588, "lr": 9.861111111111112e-06, "epoch": 0.19948849104859334, "percentage": 9.99, "elapsed_time": "0:18:41", "remaining_time": "2:48:25"}
144
+ {"current_steps": 144, "total_steps": 1432, "loss": 0.7382, "lr": 9.930555555555557e-06, "epoch": 0.20088351546152058, "percentage": 10.06, "elapsed_time": "0:18:48", "remaining_time": "2:48:09"}
145
+ {"current_steps": 145, "total_steps": 1432, "loss": 0.8297, "lr": 1e-05, "epoch": 0.2022785398744478, "percentage": 10.13, "elapsed_time": "0:18:54", "remaining_time": "2:47:51"}
146
+ {"current_steps": 146, "total_steps": 1432, "loss": 0.762, "lr": 9.99998512668374e-06, "epoch": 0.20367356428737504, "percentage": 10.2, "elapsed_time": "0:19:01", "remaining_time": "2:47:34"}
147
+ {"current_steps": 147, "total_steps": 1432, "loss": 0.8577, "lr": 9.999940506823446e-06, "epoch": 0.20506858870030226, "percentage": 10.27, "elapsed_time": "0:19:08", "remaining_time": "2:47:20"}
148
+ {"current_steps": 148, "total_steps": 1432, "loss": 0.7526, "lr": 9.999866140684576e-06, "epoch": 0.20646361311322947, "percentage": 10.34, "elapsed_time": "0:19:16", "remaining_time": "2:47:09"}
149
+ {"current_steps": 149, "total_steps": 1432, "loss": 0.8444, "lr": 9.999762028709558e-06, "epoch": 0.20785863752615671, "percentage": 10.41, "elapsed_time": "0:19:22", "remaining_time": "2:46:52"}
150
+ {"current_steps": 150, "total_steps": 1432, "loss": 0.7834, "lr": 9.999628171517788e-06, "epoch": 0.20925366193908393, "percentage": 10.47, "elapsed_time": "0:19:29", "remaining_time": "2:46:34"}
151
+ {"current_steps": 151, "total_steps": 1432, "loss": 0.778, "lr": 9.999464569905628e-06, "epoch": 0.21064868635201117, "percentage": 10.54, "elapsed_time": "0:19:36", "remaining_time": "2:46:23"}
152
+ {"current_steps": 152, "total_steps": 1432, "loss": 0.7357, "lr": 9.999271224846397e-06, "epoch": 0.2120437107649384, "percentage": 10.61, "elapsed_time": "0:19:43", "remaining_time": "2:46:07"}
153
+ {"current_steps": 153, "total_steps": 1432, "loss": 0.7864, "lr": 9.999048137490364e-06, "epoch": 0.2134387351778656, "percentage": 10.68, "elapsed_time": "0:19:50", "remaining_time": "2:45:51"}
154
+ {"current_steps": 154, "total_steps": 1432, "loss": 0.741, "lr": 9.998795309164754e-06, "epoch": 0.21483375959079284, "percentage": 10.75, "elapsed_time": "0:19:56", "remaining_time": "2:45:29"}
155
+ {"current_steps": 155, "total_steps": 1432, "loss": 0.752, "lr": 9.99851274137372e-06, "epoch": 0.21622878400372006, "percentage": 10.82, "elapsed_time": "0:20:03", "remaining_time": "2:45:11"}
156
+ {"current_steps": 156, "total_steps": 1432, "loss": 0.7822, "lr": 9.998200435798355e-06, "epoch": 0.2176238084166473, "percentage": 10.89, "elapsed_time": "0:20:12", "remaining_time": "2:45:21"}
157
+ {"current_steps": 157, "total_steps": 1432, "loss": 0.6879, "lr": 9.997858394296666e-06, "epoch": 0.21901883282957452, "percentage": 10.96, "elapsed_time": "0:20:20", "remaining_time": "2:45:14"}
158
+ {"current_steps": 158, "total_steps": 1432, "loss": 0.7594, "lr": 9.997486618903566e-06, "epoch": 0.22041385724250173, "percentage": 11.03, "elapsed_time": "0:20:28", "remaining_time": "2:45:09"}
159
+ {"current_steps": 159, "total_steps": 1432, "loss": 0.7461, "lr": 9.99708511183087e-06, "epoch": 0.22180888165542897, "percentage": 11.1, "elapsed_time": "0:20:37", "remaining_time": "2:45:04"}
160
+ {"current_steps": 160, "total_steps": 1432, "loss": 0.7755, "lr": 9.996653875467278e-06, "epoch": 0.2232039060683562, "percentage": 11.17, "elapsed_time": "0:20:43", "remaining_time": "2:44:43"}
161
+ {"current_steps": 161, "total_steps": 1432, "loss": 0.7694, "lr": 9.99619291237835e-06, "epoch": 0.22459893048128343, "percentage": 11.24, "elapsed_time": "0:20:52", "remaining_time": "2:44:43"}
162
+ {"current_steps": 162, "total_steps": 1432, "loss": 0.7624, "lr": 9.99570222530651e-06, "epoch": 0.22599395489421065, "percentage": 11.31, "elapsed_time": "0:20:59", "remaining_time": "2:44:33"}
163
+ {"current_steps": 163, "total_steps": 1432, "loss": 0.7943, "lr": 9.995181817171016e-06, "epoch": 0.22738897930713786, "percentage": 11.38, "elapsed_time": "0:21:09", "remaining_time": "2:44:42"}
164
+ {"current_steps": 164, "total_steps": 1432, "loss": 0.7064, "lr": 9.994631691067941e-06, "epoch": 0.2287840037200651, "percentage": 11.45, "elapsed_time": "0:21:15", "remaining_time": "2:44:23"}
165
+ {"current_steps": 165, "total_steps": 1432, "loss": 0.7785, "lr": 9.994051850270172e-06, "epoch": 0.23017902813299232, "percentage": 11.52, "elapsed_time": "0:21:24", "remaining_time": "2:44:22"}
166
+ {"current_steps": 166, "total_steps": 1432, "loss": 0.6899, "lr": 9.993442298227365e-06, "epoch": 0.23157405254591956, "percentage": 11.59, "elapsed_time": "0:21:33", "remaining_time": "2:44:26"}
167
+ {"current_steps": 167, "total_steps": 1432, "loss": 0.7318, "lr": 9.992803038565947e-06, "epoch": 0.23296907695884678, "percentage": 11.66, "elapsed_time": "0:21:40", "remaining_time": "2:44:12"}
168
+ {"current_steps": 168, "total_steps": 1432, "loss": 0.7492, "lr": 9.992134075089085e-06, "epoch": 0.23436410137177402, "percentage": 11.73, "elapsed_time": "0:21:50", "remaining_time": "2:44:17"}
169
+ {"current_steps": 169, "total_steps": 1432, "loss": 0.7546, "lr": 9.991435411776654e-06, "epoch": 0.23575912578470123, "percentage": 11.8, "elapsed_time": "0:21:56", "remaining_time": "2:43:59"}
170
+ {"current_steps": 170, "total_steps": 1432, "loss": 0.6861, "lr": 9.990707052785236e-06, "epoch": 0.23715415019762845, "percentage": 11.87, "elapsed_time": "0:22:08", "remaining_time": "2:44:25"}
171
+ {"current_steps": 171, "total_steps": 1432, "loss": 0.7527, "lr": 9.989949002448076e-06, "epoch": 0.2385491746105557, "percentage": 11.94, "elapsed_time": "0:22:21", "remaining_time": "2:44:51"}
172
+ {"current_steps": 172, "total_steps": 1432, "loss": 0.7358, "lr": 9.98916126527506e-06, "epoch": 0.2399441990234829, "percentage": 12.01, "elapsed_time": "0:22:31", "remaining_time": "2:45:03"}
173
+ {"current_steps": 173, "total_steps": 1432, "loss": 0.7925, "lr": 9.988343845952697e-06, "epoch": 0.24133922343641015, "percentage": 12.08, "elapsed_time": "0:22:38", "remaining_time": "2:44:45"}
174
+ {"current_steps": 174, "total_steps": 1432, "loss": 0.7493, "lr": 9.98749674934408e-06, "epoch": 0.24273424784933736, "percentage": 12.15, "elapsed_time": "0:22:46", "remaining_time": "2:44:36"}
175
+ {"current_steps": 175, "total_steps": 1432, "loss": 0.784, "lr": 9.98661998048886e-06, "epoch": 0.24412927226226458, "percentage": 12.22, "elapsed_time": "0:22:54", "remaining_time": "2:44:34"}
176
+ {"current_steps": 176, "total_steps": 1432, "loss": 0.7982, "lr": 9.985713544603229e-06, "epoch": 0.24552429667519182, "percentage": 12.29, "elapsed_time": "0:23:04", "remaining_time": "2:44:36"}
177
+ {"current_steps": 177, "total_steps": 1432, "loss": 0.7899, "lr": 9.984777447079861e-06, "epoch": 0.24691932108811904, "percentage": 12.36, "elapsed_time": "0:23:10", "remaining_time": "2:44:20"}
178
+ {"current_steps": 178, "total_steps": 1432, "loss": 0.8014, "lr": 9.983811693487913e-06, "epoch": 0.24831434550104628, "percentage": 12.43, "elapsed_time": "0:23:17", "remaining_time": "2:44:04"}
179
+ {"current_steps": 179, "total_steps": 1432, "loss": 0.7308, "lr": 9.982816289572966e-06, "epoch": 0.2497093699139735, "percentage": 12.5, "elapsed_time": "0:23:23", "remaining_time": "2:43:45"}
180
+ {"current_steps": 180, "total_steps": 1432, "loss": 0.7808, "lr": 9.981791241257001e-06, "epoch": 0.25110439432690074, "percentage": 12.57, "elapsed_time": "0:23:33", "remaining_time": "2:43:48"}
181
+ {"current_steps": 181, "total_steps": 1432, "loss": 0.7762, "lr": 9.980736554638367e-06, "epoch": 0.25249941873982795, "percentage": 12.64, "elapsed_time": "0:23:39", "remaining_time": "2:43:28"}
182
+ {"current_steps": 182, "total_steps": 1432, "loss": 0.7199, "lr": 9.979652235991738e-06, "epoch": 0.25389444315275517, "percentage": 12.71, "elapsed_time": "0:23:46", "remaining_time": "2:43:14"}
183
+ {"current_steps": 183, "total_steps": 1432, "loss": 0.7662, "lr": 9.978538291768083e-06, "epoch": 0.2552894675656824, "percentage": 12.78, "elapsed_time": "0:23:52", "remaining_time": "2:42:57"}
184
+ {"current_steps": 184, "total_steps": 1432, "loss": 0.7372, "lr": 9.977394728594614e-06, "epoch": 0.25668449197860965, "percentage": 12.85, "elapsed_time": "0:24:00", "remaining_time": "2:42:49"}
185
+ {"current_steps": 185, "total_steps": 1432, "loss": 0.7159, "lr": 9.976221553274767e-06, "epoch": 0.25807951639153687, "percentage": 12.92, "elapsed_time": "0:24:06", "remaining_time": "2:42:29"}
186
+ {"current_steps": 186, "total_steps": 1432, "loss": 0.6528, "lr": 9.975018772788144e-06, "epoch": 0.2594745408044641, "percentage": 12.99, "elapsed_time": "0:24:12", "remaining_time": "2:42:10"}
187
+ {"current_steps": 187, "total_steps": 1432, "loss": 0.8088, "lr": 9.973786394290475e-06, "epoch": 0.2608695652173913, "percentage": 13.06, "elapsed_time": "0:24:19", "remaining_time": "2:41:55"}
188
+ {"current_steps": 188, "total_steps": 1432, "loss": 0.7563, "lr": 9.972524425113585e-06, "epoch": 0.2622645896303185, "percentage": 13.13, "elapsed_time": "0:24:25", "remaining_time": "2:41:36"}
189
+ {"current_steps": 189, "total_steps": 1432, "loss": 0.717, "lr": 9.971232872765344e-06, "epoch": 0.2636596140432458, "percentage": 13.2, "elapsed_time": "0:24:32", "remaining_time": "2:41:26"}
190
+ {"current_steps": 190, "total_steps": 1432, "loss": 0.7291, "lr": 9.969911744929613e-06, "epoch": 0.265054638456173, "percentage": 13.27, "elapsed_time": "0:24:40", "remaining_time": "2:41:17"}
191
+ {"current_steps": 191, "total_steps": 1432, "loss": 0.7788, "lr": 9.968561049466214e-06, "epoch": 0.2664496628691002, "percentage": 13.34, "elapsed_time": "0:24:49", "remaining_time": "2:41:17"}
192
+ {"current_steps": 192, "total_steps": 1432, "loss": 0.7303, "lr": 9.967180794410878e-06, "epoch": 0.2678446872820274, "percentage": 13.41, "elapsed_time": "0:24:56", "remaining_time": "2:41:03"}
193
+ {"current_steps": 193, "total_steps": 1432, "loss": 0.7756, "lr": 9.96577098797519e-06, "epoch": 0.26923971169495464, "percentage": 13.48, "elapsed_time": "0:25:05", "remaining_time": "2:41:03"}
194
+ {"current_steps": 194, "total_steps": 1432, "loss": 0.7285, "lr": 9.96433163854655e-06, "epoch": 0.2706347361078819, "percentage": 13.55, "elapsed_time": "0:25:11", "remaining_time": "2:40:44"}
195
+ {"current_steps": 195, "total_steps": 1432, "loss": 0.7317, "lr": 9.962862754688118e-06, "epoch": 0.2720297605208091, "percentage": 13.62, "elapsed_time": "0:25:18", "remaining_time": "2:40:31"}
196
+ {"current_steps": 196, "total_steps": 1432, "loss": 0.8082, "lr": 9.961364345138764e-06, "epoch": 0.27342478493373634, "percentage": 13.69, "elapsed_time": "0:25:25", "remaining_time": "2:40:20"}
197
+ {"current_steps": 197, "total_steps": 1432, "loss": 0.7296, "lr": 9.959836418813016e-06, "epoch": 0.27481980934666356, "percentage": 13.76, "elapsed_time": "0:25:31", "remaining_time": "2:40:02"}
198
+ {"current_steps": 198, "total_steps": 1432, "loss": 0.735, "lr": 9.958278984801003e-06, "epoch": 0.27621483375959077, "percentage": 13.83, "elapsed_time": "0:25:40", "remaining_time": "2:39:59"}
199
+ {"current_steps": 199, "total_steps": 1432, "loss": 0.7233, "lr": 9.956692052368416e-06, "epoch": 0.27760985817251804, "percentage": 13.9, "elapsed_time": "0:25:46", "remaining_time": "2:39:41"}
200
+ {"current_steps": 200, "total_steps": 1432, "loss": 0.7404, "lr": 9.955075630956425e-06, "epoch": 0.27900488258544526, "percentage": 13.97, "elapsed_time": "0:25:53", "remaining_time": "2:39:27"}
201
+ {"current_steps": 201, "total_steps": 1432, "loss": 0.7436, "lr": 9.953429730181653e-06, "epoch": 0.2803999069983725, "percentage": 14.04, "elapsed_time": "0:25:59", "remaining_time": "2:39:13"}
202
+ {"current_steps": 202, "total_steps": 1432, "loss": 0.7623, "lr": 9.951754359836104e-06, "epoch": 0.2817949314112997, "percentage": 14.11, "elapsed_time": "0:26:08", "remaining_time": "2:39:13"}
203
+ {"current_steps": 203, "total_steps": 1432, "loss": 0.7888, "lr": 9.950049529887098e-06, "epoch": 0.2831899558242269, "percentage": 14.18, "elapsed_time": "0:26:17", "remaining_time": "2:39:09"}
204
+ {"current_steps": 204, "total_steps": 1432, "loss": 0.7366, "lr": 9.94831525047723e-06, "epoch": 0.2845849802371542, "percentage": 14.25, "elapsed_time": "0:26:25", "remaining_time": "2:39:04"}
205
+ {"current_steps": 205, "total_steps": 1432, "loss": 0.7912, "lr": 9.94655153192429e-06, "epoch": 0.2859800046500814, "percentage": 14.32, "elapsed_time": "0:26:33", "remaining_time": "2:38:56"}
206
+ {"current_steps": 206, "total_steps": 1432, "loss": 0.7649, "lr": 9.944758384721218e-06, "epoch": 0.2873750290630086, "percentage": 14.39, "elapsed_time": "0:26:46", "remaining_time": "2:39:22"}
207
+ {"current_steps": 207, "total_steps": 1432, "loss": 0.7197, "lr": 9.94293581953603e-06, "epoch": 0.2887700534759358, "percentage": 14.46, "elapsed_time": "0:26:53", "remaining_time": "2:39:09"}
208
+ {"current_steps": 208, "total_steps": 1432, "loss": 0.7811, "lr": 9.941083847211765e-06, "epoch": 0.29016507788886303, "percentage": 14.53, "elapsed_time": "0:27:00", "remaining_time": "2:38:56"}
209
+ {"current_steps": 209, "total_steps": 1432, "loss": 0.7838, "lr": 9.939202478766408e-06, "epoch": 0.2915601023017903, "percentage": 14.59, "elapsed_time": "0:27:08", "remaining_time": "2:38:49"}
210
+ {"current_steps": 210, "total_steps": 1432, "loss": 0.791, "lr": 9.937291725392835e-06, "epoch": 0.2929551267147175, "percentage": 14.66, "elapsed_time": "0:27:16", "remaining_time": "2:38:44"}
211
+ {"current_steps": 211, "total_steps": 1432, "loss": 0.7473, "lr": 9.935351598458743e-06, "epoch": 0.29435015112764473, "percentage": 14.73, "elapsed_time": "0:27:23", "remaining_time": "2:38:28"}
212
+ {"current_steps": 212, "total_steps": 1432, "loss": 0.7834, "lr": 9.933382109506577e-06, "epoch": 0.29574517554057195, "percentage": 14.8, "elapsed_time": "0:27:29", "remaining_time": "2:38:11"}
213
+ {"current_steps": 213, "total_steps": 1432, "loss": 0.759, "lr": 9.931383270253475e-06, "epoch": 0.29714019995349916, "percentage": 14.87, "elapsed_time": "0:27:35", "remaining_time": "2:37:55"}
214
+ {"current_steps": 214, "total_steps": 1432, "loss": 0.7235, "lr": 9.92935509259118e-06, "epoch": 0.29853522436642643, "percentage": 14.94, "elapsed_time": "0:27:42", "remaining_time": "2:37:39"}
215
+ {"current_steps": 215, "total_steps": 1432, "loss": 0.7873, "lr": 9.927297588585984e-06, "epoch": 0.29993024877935365, "percentage": 15.01, "elapsed_time": "0:27:51", "remaining_time": "2:37:39"}
216
+ {"current_steps": 216, "total_steps": 1432, "loss": 0.7567, "lr": 9.925210770478653e-06, "epoch": 0.30132527319228086, "percentage": 15.08, "elapsed_time": "0:27:58", "remaining_time": "2:37:28"}
217
+ {"current_steps": 217, "total_steps": 1432, "loss": 0.8062, "lr": 9.923094650684346e-06, "epoch": 0.3027202976052081, "percentage": 15.15, "elapsed_time": "0:28:06", "remaining_time": "2:37:21"}
218
+ {"current_steps": 218, "total_steps": 1432, "loss": 0.6704, "lr": 9.92094924179255e-06, "epoch": 0.3041153220181353, "percentage": 15.22, "elapsed_time": "0:28:12", "remaining_time": "2:37:05"}
219
+ {"current_steps": 219, "total_steps": 1432, "loss": 0.7228, "lr": 9.918774556567007e-06, "epoch": 0.30551034643106256, "percentage": 15.29, "elapsed_time": "0:28:21", "remaining_time": "2:37:02"}
220
+ {"current_steps": 220, "total_steps": 1432, "loss": 0.7303, "lr": 9.916570607945627e-06, "epoch": 0.3069053708439898, "percentage": 15.36, "elapsed_time": "0:28:31", "remaining_time": "2:37:06"}
221
+ {"current_steps": 221, "total_steps": 1432, "loss": 0.7773, "lr": 9.914337409040418e-06, "epoch": 0.308300395256917, "percentage": 15.43, "elapsed_time": "0:28:44", "remaining_time": "2:37:30"}
222
+ {"current_steps": 222, "total_steps": 1432, "loss": 0.7558, "lr": 9.912074973137413e-06, "epoch": 0.3096954196698442, "percentage": 15.5, "elapsed_time": "0:28:53", "remaining_time": "2:37:27"}
223
+ {"current_steps": 223, "total_steps": 1432, "loss": 0.8031, "lr": 9.90978331369658e-06, "epoch": 0.3110904440827714, "percentage": 15.57, "elapsed_time": "0:29:04", "remaining_time": "2:37:39"}
224
+ {"current_steps": 224, "total_steps": 1432, "loss": 0.7119, "lr": 9.90746244435175e-06, "epoch": 0.3124854684956987, "percentage": 15.64, "elapsed_time": "0:29:11", "remaining_time": "2:37:23"}
225
+ {"current_steps": 225, "total_steps": 1432, "loss": 0.7132, "lr": 9.905112378910532e-06, "epoch": 0.3138804929086259, "percentage": 15.71, "elapsed_time": "0:29:17", "remaining_time": "2:37:08"}
226
+ {"current_steps": 226, "total_steps": 1432, "loss": 0.7279, "lr": 9.902733131354232e-06, "epoch": 0.3152755173215531, "percentage": 15.78, "elapsed_time": "0:29:25", "remaining_time": "2:37:01"}
227
+ {"current_steps": 227, "total_steps": 1432, "loss": 0.772, "lr": 9.900324715837772e-06, "epoch": 0.31667054173448034, "percentage": 15.85, "elapsed_time": "0:29:31", "remaining_time": "2:36:44"}
228
+ {"current_steps": 228, "total_steps": 1432, "loss": 0.7967, "lr": 9.897887146689603e-06, "epoch": 0.31806556614740755, "percentage": 15.92, "elapsed_time": "0:29:42", "remaining_time": "2:36:50"}
229
+ {"current_steps": 229, "total_steps": 1432, "loss": 0.7409, "lr": 9.895420438411616e-06, "epoch": 0.3194605905603348, "percentage": 15.99, "elapsed_time": "0:29:49", "remaining_time": "2:36:39"}
230
+ {"current_steps": 230, "total_steps": 1432, "loss": 0.7108, "lr": 9.892924605679066e-06, "epoch": 0.32085561497326204, "percentage": 16.06, "elapsed_time": "0:29:56", "remaining_time": "2:36:28"}
231
+ {"current_steps": 231, "total_steps": 1432, "loss": 0.7989, "lr": 9.890399663340478e-06, "epoch": 0.32225063938618925, "percentage": 16.13, "elapsed_time": "0:30:07", "remaining_time": "2:36:37"}
232
+ {"current_steps": 232, "total_steps": 1432, "loss": 0.7881, "lr": 9.887845626417556e-06, "epoch": 0.32364566379911647, "percentage": 16.2, "elapsed_time": "0:30:13", "remaining_time": "2:36:19"}
233
+ {"current_steps": 233, "total_steps": 1432, "loss": 0.7044, "lr": 9.885262510105102e-06, "epoch": 0.32504068821204374, "percentage": 16.27, "elapsed_time": "0:30:26", "remaining_time": "2:36:40"}
234
+ {"current_steps": 234, "total_steps": 1432, "loss": 0.789, "lr": 9.882650329770919e-06, "epoch": 0.32643571262497095, "percentage": 16.34, "elapsed_time": "0:30:33", "remaining_time": "2:36:27"}
235
+ {"current_steps": 235, "total_steps": 1432, "loss": 0.7991, "lr": 9.880009100955716e-06, "epoch": 0.32783073703789817, "percentage": 16.41, "elapsed_time": "0:30:41", "remaining_time": "2:36:21"}
236
+ {"current_steps": 236, "total_steps": 1432, "loss": 0.8075, "lr": 9.877338839373032e-06, "epoch": 0.3292257614508254, "percentage": 16.48, "elapsed_time": "0:30:49", "remaining_time": "2:36:13"}
237
+ {"current_steps": 237, "total_steps": 1432, "loss": 0.7442, "lr": 9.874639560909118e-06, "epoch": 0.3306207858637526, "percentage": 16.55, "elapsed_time": "0:30:55", "remaining_time": "2:35:57"}
238
+ {"current_steps": 238, "total_steps": 1432, "loss": 0.7426, "lr": 9.871911281622869e-06, "epoch": 0.33201581027667987, "percentage": 16.62, "elapsed_time": "0:31:04", "remaining_time": "2:35:53"}
239
+ {"current_steps": 239, "total_steps": 1432, "loss": 0.7747, "lr": 9.869154017745706e-06, "epoch": 0.3334108346896071, "percentage": 16.69, "elapsed_time": "0:31:12", "remaining_time": "2:35:46"}
240
+ {"current_steps": 240, "total_steps": 1432, "loss": 0.7518, "lr": 9.866367785681493e-06, "epoch": 0.3348058591025343, "percentage": 16.76, "elapsed_time": "0:31:19", "remaining_time": "2:35:34"}
241
+ {"current_steps": 241, "total_steps": 1432, "loss": 0.7724, "lr": 9.863552602006435e-06, "epoch": 0.3362008835154615, "percentage": 16.83, "elapsed_time": "0:31:25", "remaining_time": "2:35:20"}
242
+ {"current_steps": 242, "total_steps": 1432, "loss": 0.7175, "lr": 9.860708483468975e-06, "epoch": 0.3375959079283887, "percentage": 16.9, "elapsed_time": "0:31:32", "remaining_time": "2:35:03"}
243
+ {"current_steps": 243, "total_steps": 1432, "loss": 0.7709, "lr": 9.857835446989708e-06, "epoch": 0.338990932341316, "percentage": 16.97, "elapsed_time": "0:31:43", "remaining_time": "2:35:12"}
244
+ {"current_steps": 244, "total_steps": 1432, "loss": 0.7632, "lr": 9.854933509661264e-06, "epoch": 0.3403859567542432, "percentage": 17.04, "elapsed_time": "0:31:49", "remaining_time": "2:34:58"}
245
+ {"current_steps": 245, "total_steps": 1432, "loss": 0.7713, "lr": 9.852002688748214e-06, "epoch": 0.34178098116717043, "percentage": 17.11, "elapsed_time": "0:31:56", "remaining_time": "2:34:47"}
246
+ {"current_steps": 246, "total_steps": 1432, "loss": 0.7556, "lr": 9.84904300168697e-06, "epoch": 0.34317600558009764, "percentage": 17.18, "elapsed_time": "0:32:07", "remaining_time": "2:34:52"}
247
+ {"current_steps": 247, "total_steps": 1432, "loss": 0.7352, "lr": 9.84605446608568e-06, "epoch": 0.34457102999302486, "percentage": 17.25, "elapsed_time": "0:32:13", "remaining_time": "2:34:36"}
248
+ {"current_steps": 248, "total_steps": 1432, "loss": 0.7505, "lr": 9.843037099724111e-06, "epoch": 0.34596605440595213, "percentage": 17.32, "elapsed_time": "0:32:20", "remaining_time": "2:34:25"}
249
+ {"current_steps": 249, "total_steps": 1432, "loss": 0.7461, "lr": 9.839990920553566e-06, "epoch": 0.34736107881887934, "percentage": 17.39, "elapsed_time": "0:32:27", "remaining_time": "2:34:11"}
250
+ {"current_steps": 250, "total_steps": 1432, "loss": 0.7607, "lr": 9.83691594669676e-06, "epoch": 0.34875610323180656, "percentage": 17.46, "elapsed_time": "0:32:34", "remaining_time": "2:33:58"}
251
+ {"current_steps": 251, "total_steps": 1432, "loss": 0.7696, "lr": 9.833812196447712e-06, "epoch": 0.3501511276447338, "percentage": 17.53, "elapsed_time": "0:32:40", "remaining_time": "2:33:45"}
252
+ {"current_steps": 252, "total_steps": 1432, "loss": 0.7743, "lr": 9.830679688271647e-06, "epoch": 0.351546152057661, "percentage": 17.6, "elapsed_time": "0:32:50", "remaining_time": "2:33:48"}
253
+ {"current_steps": 253, "total_steps": 1432, "loss": 0.8095, "lr": 9.827518440804882e-06, "epoch": 0.35294117647058826, "percentage": 17.67, "elapsed_time": "0:32:57", "remaining_time": "2:33:36"}
254
+ {"current_steps": 254, "total_steps": 1432, "loss": 0.7212, "lr": 9.824328472854706e-06, "epoch": 0.3543362008835155, "percentage": 17.74, "elapsed_time": "0:33:03", "remaining_time": "2:33:19"}
255
+ {"current_steps": 255, "total_steps": 1432, "loss": 0.7479, "lr": 9.821109803399283e-06, "epoch": 0.3557312252964427, "percentage": 17.81, "elapsed_time": "0:33:09", "remaining_time": "2:33:03"}
256
+ {"current_steps": 256, "total_steps": 1432, "loss": 0.6563, "lr": 9.817862451587527e-06, "epoch": 0.3571262497093699, "percentage": 17.88, "elapsed_time": "0:33:16", "remaining_time": "2:32:52"}
257
+ {"current_steps": 257, "total_steps": 1432, "loss": 0.6965, "lr": 9.814586436738998e-06, "epoch": 0.3585212741222971, "percentage": 17.95, "elapsed_time": "0:33:22", "remaining_time": "2:32:37"}
258
+ {"current_steps": 258, "total_steps": 1432, "loss": 0.7445, "lr": 9.811281778343773e-06, "epoch": 0.3599162985352244, "percentage": 18.02, "elapsed_time": "0:33:32", "remaining_time": "2:32:39"}
259
+ {"current_steps": 259, "total_steps": 1432, "loss": 0.7725, "lr": 9.807948496062344e-06, "epoch": 0.3613113229481516, "percentage": 18.09, "elapsed_time": "0:33:43", "remaining_time": "2:32:43"}
260
+ {"current_steps": 260, "total_steps": 1432, "loss": 0.7535, "lr": 9.804586609725499e-06, "epoch": 0.3627063473610788, "percentage": 18.16, "elapsed_time": "0:33:49", "remaining_time": "2:32:30"}
261
+ {"current_steps": 261, "total_steps": 1432, "loss": 0.7147, "lr": 9.801196139334195e-06, "epoch": 0.36410137177400603, "percentage": 18.23, "elapsed_time": "0:33:57", "remaining_time": "2:32:20"}
262
+ {"current_steps": 262, "total_steps": 1432, "loss": 0.7404, "lr": 9.797777105059448e-06, "epoch": 0.36549639618693325, "percentage": 18.3, "elapsed_time": "0:34:03", "remaining_time": "2:32:06"}
263
+ {"current_steps": 263, "total_steps": 1432, "loss": 0.8087, "lr": 9.794329527242209e-06, "epoch": 0.3668914205998605, "percentage": 18.37, "elapsed_time": "0:34:12", "remaining_time": "2:32:03"}
264
+ {"current_steps": 264, "total_steps": 1432, "loss": 0.6991, "lr": 9.790853426393246e-06, "epoch": 0.36828644501278773, "percentage": 18.44, "elapsed_time": "0:34:19", "remaining_time": "2:31:52"}
265
+ {"current_steps": 265, "total_steps": 1432, "loss": 0.7728, "lr": 9.787348823193013e-06, "epoch": 0.36968146942571495, "percentage": 18.51, "elapsed_time": "0:34:26", "remaining_time": "2:31:38"}
266
+ {"current_steps": 266, "total_steps": 1432, "loss": 0.7751, "lr": 9.783815738491544e-06, "epoch": 0.37107649383864216, "percentage": 18.58, "elapsed_time": "0:34:33", "remaining_time": "2:31:27"}
267
+ {"current_steps": 267, "total_steps": 1432, "loss": 0.6931, "lr": 9.780254193308312e-06, "epoch": 0.3724715182515694, "percentage": 18.65, "elapsed_time": "0:34:40", "remaining_time": "2:31:18"}
268
+ {"current_steps": 268, "total_steps": 1432, "loss": 0.729, "lr": 9.776664208832111e-06, "epoch": 0.37386654266449665, "percentage": 18.72, "elapsed_time": "0:34:47", "remaining_time": "2:31:08"}
269
+ {"current_steps": 269, "total_steps": 1432, "loss": 0.7566, "lr": 9.77304580642093e-06, "epoch": 0.37526156707742386, "percentage": 18.78, "elapsed_time": "0:34:54", "remaining_time": "2:30:57"}
270
+ {"current_steps": 270, "total_steps": 1432, "loss": 0.692, "lr": 9.76939900760183e-06, "epoch": 0.3766565914903511, "percentage": 18.85, "elapsed_time": "0:35:01", "remaining_time": "2:30:42"}
271
+ {"current_steps": 271, "total_steps": 1432, "loss": 0.7334, "lr": 9.765723834070805e-06, "epoch": 0.3780516159032783, "percentage": 18.92, "elapsed_time": "0:35:07", "remaining_time": "2:30:27"}
272
+ {"current_steps": 272, "total_steps": 1432, "loss": 0.7022, "lr": 9.762020307692662e-06, "epoch": 0.3794466403162055, "percentage": 18.99, "elapsed_time": "0:35:13", "remaining_time": "2:30:14"}
273
+ {"current_steps": 273, "total_steps": 1432, "loss": 0.7178, "lr": 9.75828845050089e-06, "epoch": 0.3808416647291328, "percentage": 19.06, "elapsed_time": "0:35:19", "remaining_time": "2:29:59"}
274
+ {"current_steps": 274, "total_steps": 1432, "loss": 0.8056, "lr": 9.754528284697526e-06, "epoch": 0.38223668914206, "percentage": 19.13, "elapsed_time": "0:35:26", "remaining_time": "2:29:48"}
275
+ {"current_steps": 275, "total_steps": 1432, "loss": 0.7027, "lr": 9.750739832653023e-06, "epoch": 0.3836317135549872, "percentage": 19.2, "elapsed_time": "0:35:33", "remaining_time": "2:29:36"}
276
+ {"current_steps": 276, "total_steps": 1432, "loss": 0.7628, "lr": 9.74692311690612e-06, "epoch": 0.3850267379679144, "percentage": 19.27, "elapsed_time": "0:35:46", "remaining_time": "2:29:49"}
277
+ {"current_steps": 277, "total_steps": 1432, "loss": 0.8171, "lr": 9.743078160163703e-06, "epoch": 0.38642176238084164, "percentage": 19.34, "elapsed_time": "0:35:57", "remaining_time": "2:29:56"}
278
+ {"current_steps": 278, "total_steps": 1432, "loss": 0.7066, "lr": 9.73920498530068e-06, "epoch": 0.3878167867937689, "percentage": 19.41, "elapsed_time": "0:36:07", "remaining_time": "2:29:56"}
279
+ {"current_steps": 279, "total_steps": 1432, "loss": 0.7137, "lr": 9.735303615359827e-06, "epoch": 0.3892118112066961, "percentage": 19.48, "elapsed_time": "0:36:17", "remaining_time": "2:29:59"}
280
+ {"current_steps": 280, "total_steps": 1432, "loss": 0.7051, "lr": 9.731374073551671e-06, "epoch": 0.39060683561962334, "percentage": 19.55, "elapsed_time": "0:36:24", "remaining_time": "2:29:47"}
281
+ {"current_steps": 281, "total_steps": 1432, "loss": 0.7244, "lr": 9.72741638325434e-06, "epoch": 0.39200186003255055, "percentage": 19.62, "elapsed_time": "0:36:31", "remaining_time": "2:29:35"}
282
+ {"current_steps": 282, "total_steps": 1432, "loss": 0.7099, "lr": 9.723430568013423e-06, "epoch": 0.3933968844454778, "percentage": 19.69, "elapsed_time": "0:36:40", "remaining_time": "2:29:34"}
283
+ {"current_steps": 283, "total_steps": 1432, "loss": 0.793, "lr": 9.719416651541839e-06, "epoch": 0.39479190885840504, "percentage": 19.76, "elapsed_time": "0:36:47", "remaining_time": "2:29:22"}
284
+ {"current_steps": 284, "total_steps": 1432, "loss": 0.7452, "lr": 9.715374657719685e-06, "epoch": 0.39618693327133225, "percentage": 19.83, "elapsed_time": "0:37:01", "remaining_time": "2:29:41"}
285
+ {"current_steps": 285, "total_steps": 1432, "loss": 0.7714, "lr": 9.711304610594104e-06, "epoch": 0.39758195768425947, "percentage": 19.9, "elapsed_time": "0:37:08", "remaining_time": "2:29:28"}
286
+ {"current_steps": 286, "total_steps": 1432, "loss": 0.7291, "lr": 9.707206534379133e-06, "epoch": 0.3989769820971867, "percentage": 19.97, "elapsed_time": "0:37:14", "remaining_time": "2:29:15"}
287
+ {"current_steps": 287, "total_steps": 1432, "loss": 0.7543, "lr": 9.703080453455569e-06, "epoch": 0.40037200651011395, "percentage": 20.04, "elapsed_time": "0:37:22", "remaining_time": "2:29:06"}
288
+ {"current_steps": 288, "total_steps": 1432, "loss": 0.6654, "lr": 9.69892639237081e-06, "epoch": 0.40176703092304117, "percentage": 20.11, "elapsed_time": "0:37:28", "remaining_time": "2:28:53"}
289
+ {"current_steps": 289, "total_steps": 1432, "loss": 0.6204, "lr": 9.694744375838725e-06, "epoch": 0.4031620553359684, "percentage": 20.18, "elapsed_time": "0:37:37", "remaining_time": "2:28:46"}
290
+ {"current_steps": 290, "total_steps": 1432, "loss": 0.7321, "lr": 9.690534428739497e-06, "epoch": 0.4045570797488956, "percentage": 20.25, "elapsed_time": "0:37:43", "remaining_time": "2:28:33"}
291
+ {"current_steps": 291, "total_steps": 1432, "loss": 0.7184, "lr": 9.68629657611947e-06, "epoch": 0.4059521041618228, "percentage": 20.32, "elapsed_time": "0:37:49", "remaining_time": "2:28:20"}
292
+ {"current_steps": 292, "total_steps": 1432, "loss": 0.7453, "lr": 9.682030843191021e-06, "epoch": 0.4073471285747501, "percentage": 20.39, "elapsed_time": "0:37:58", "remaining_time": "2:28:17"}
293
+ {"current_steps": 293, "total_steps": 1432, "loss": 0.7764, "lr": 9.677737255332381e-06, "epoch": 0.4087421529876773, "percentage": 20.46, "elapsed_time": "0:38:05", "remaining_time": "2:28:02"}
294
+ {"current_steps": 294, "total_steps": 1432, "loss": 0.8483, "lr": 9.67341583808751e-06, "epoch": 0.4101371774006045, "percentage": 20.53, "elapsed_time": "0:38:12", "remaining_time": "2:27:52"}
295
+ {"current_steps": 295, "total_steps": 1432, "loss": 0.6946, "lr": 9.66906661716593e-06, "epoch": 0.41153220181353173, "percentage": 20.6, "elapsed_time": "0:38:18", "remaining_time": "2:27:38"}
296
+ {"current_steps": 296, "total_steps": 1432, "loss": 0.726, "lr": 9.664689618442572e-06, "epoch": 0.41292722622645894, "percentage": 20.67, "elapsed_time": "0:38:25", "remaining_time": "2:27:26"}
297
+ {"current_steps": 297, "total_steps": 1432, "loss": 0.7853, "lr": 9.660284867957637e-06, "epoch": 0.4143222506393862, "percentage": 20.74, "elapsed_time": "0:38:38", "remaining_time": "2:27:40"}
298
+ {"current_steps": 298, "total_steps": 1432, "loss": 0.6586, "lr": 9.655852391916418e-06, "epoch": 0.41571727505231343, "percentage": 20.81, "elapsed_time": "0:38:45", "remaining_time": "2:27:27"}
299
+ {"current_steps": 299, "total_steps": 1432, "loss": 0.73, "lr": 9.651392216689167e-06, "epoch": 0.41711229946524064, "percentage": 20.88, "elapsed_time": "0:38:58", "remaining_time": "2:27:39"}
300
+ {"current_steps": 300, "total_steps": 1432, "loss": 0.7404, "lr": 9.646904368810919e-06, "epoch": 0.41850732387816786, "percentage": 20.95, "elapsed_time": "0:39:05", "remaining_time": "2:27:28"}
301
+ {"current_steps": 301, "total_steps": 1432, "loss": 0.7876, "lr": 9.642388874981348e-06, "epoch": 0.4199023482910951, "percentage": 21.02, "elapsed_time": "0:39:11", "remaining_time": "2:27:16"}
302
+ {"current_steps": 302, "total_steps": 1432, "loss": 0.8062, "lr": 9.637845762064602e-06, "epoch": 0.42129737270402234, "percentage": 21.09, "elapsed_time": "0:39:19", "remaining_time": "2:27:09"}
303
+ {"current_steps": 303, "total_steps": 1432, "loss": 0.7249, "lr": 9.63327505708914e-06, "epoch": 0.42269239711694956, "percentage": 21.16, "elapsed_time": "0:39:29", "remaining_time": "2:27:07"}
304
+ {"current_steps": 304, "total_steps": 1432, "loss": 0.7102, "lr": 9.628676787247582e-06, "epoch": 0.4240874215298768, "percentage": 21.23, "elapsed_time": "0:39:36", "remaining_time": "2:26:57"}
305
+ {"current_steps": 305, "total_steps": 1432, "loss": 0.7133, "lr": 9.624050979896533e-06, "epoch": 0.425482445942804, "percentage": 21.3, "elapsed_time": "0:39:44", "remaining_time": "2:26:52"}
306
+ {"current_steps": 306, "total_steps": 1432, "loss": 0.7644, "lr": 9.619397662556434e-06, "epoch": 0.4268774703557312, "percentage": 21.37, "elapsed_time": "0:39:51", "remaining_time": "2:26:38"}
307
+ {"current_steps": 307, "total_steps": 1432, "loss": 0.7374, "lr": 9.614716862911388e-06, "epoch": 0.4282724947686585, "percentage": 21.44, "elapsed_time": "0:39:57", "remaining_time": "2:26:24"}
308
+ {"current_steps": 308, "total_steps": 1432, "loss": 0.7275, "lr": 9.610008608809003e-06, "epoch": 0.4296675191815857, "percentage": 21.51, "elapsed_time": "0:40:03", "remaining_time": "2:26:11"}
309
+ {"current_steps": 309, "total_steps": 1432, "loss": 0.7888, "lr": 9.605272928260215e-06, "epoch": 0.4310625435945129, "percentage": 21.58, "elapsed_time": "0:40:10", "remaining_time": "2:26:00"}
310
+ {"current_steps": 310, "total_steps": 1432, "loss": 0.7353, "lr": 9.600509849439136e-06, "epoch": 0.4324575680074401, "percentage": 21.65, "elapsed_time": "0:40:16", "remaining_time": "2:25:47"}
311
+ {"current_steps": 311, "total_steps": 1432, "loss": 0.7598, "lr": 9.595719400682882e-06, "epoch": 0.43385259242036733, "percentage": 21.72, "elapsed_time": "0:40:24", "remaining_time": "2:25:37"}
312
+ {"current_steps": 312, "total_steps": 1432, "loss": 0.7916, "lr": 9.590901610491388e-06, "epoch": 0.4352476168332946, "percentage": 21.79, "elapsed_time": "0:40:32", "remaining_time": "2:25:32"}
313
+ {"current_steps": 313, "total_steps": 1432, "loss": 0.7688, "lr": 9.586056507527266e-06, "epoch": 0.4366426412462218, "percentage": 21.86, "elapsed_time": "0:40:38", "remaining_time": "2:25:19"}
314
+ {"current_steps": 314, "total_steps": 1432, "loss": 0.7934, "lr": 9.581184120615615e-06, "epoch": 0.43803766565914903, "percentage": 21.93, "elapsed_time": "0:40:47", "remaining_time": "2:25:14"}
315
+ {"current_steps": 315, "total_steps": 1432, "loss": 0.7218, "lr": 9.576284478743855e-06, "epoch": 0.43943269007207625, "percentage": 22.0, "elapsed_time": "0:40:57", "remaining_time": "2:25:15"}
316
+ {"current_steps": 316, "total_steps": 1432, "loss": 0.7889, "lr": 9.571357611061556e-06, "epoch": 0.44082771448500346, "percentage": 22.07, "elapsed_time": "0:41:10", "remaining_time": "2:25:26"}
317
+ {"current_steps": 317, "total_steps": 1432, "loss": 0.7683, "lr": 9.566403546880262e-06, "epoch": 0.44222273889793073, "percentage": 22.14, "elapsed_time": "0:41:21", "remaining_time": "2:25:26"}
318
+ {"current_steps": 318, "total_steps": 1432, "loss": 0.7502, "lr": 9.561422315673316e-06, "epoch": 0.44361776331085795, "percentage": 22.21, "elapsed_time": "0:41:30", "remaining_time": "2:25:25"}
319
+ {"current_steps": 319, "total_steps": 1432, "loss": 0.705, "lr": 9.556413947075693e-06, "epoch": 0.44501278772378516, "percentage": 22.28, "elapsed_time": "0:41:37", "remaining_time": "2:25:12"}
320
+ {"current_steps": 320, "total_steps": 1432, "loss": 0.7401, "lr": 9.551378470883813e-06, "epoch": 0.4464078121367124, "percentage": 22.35, "elapsed_time": "0:41:48", "remaining_time": "2:25:16"}
321
+ {"current_steps": 321, "total_steps": 1432, "loss": 0.7801, "lr": 9.546315917055362e-06, "epoch": 0.4478028365496396, "percentage": 22.42, "elapsed_time": "0:41:56", "remaining_time": "2:25:10"}
322
+ {"current_steps": 322, "total_steps": 1432, "loss": 0.6883, "lr": 9.541226315709133e-06, "epoch": 0.44919786096256686, "percentage": 22.49, "elapsed_time": "0:42:03", "remaining_time": "2:24:59"}
323
+ {"current_steps": 323, "total_steps": 1432, "loss": 0.7873, "lr": 9.536109697124822e-06, "epoch": 0.4505928853754941, "percentage": 22.56, "elapsed_time": "0:42:10", "remaining_time": "2:24:49"}
324
+ {"current_steps": 324, "total_steps": 1432, "loss": 0.7228, "lr": 9.530966091742863e-06, "epoch": 0.4519879097884213, "percentage": 22.63, "elapsed_time": "0:42:17", "remaining_time": "2:24:37"}
325
+ {"current_steps": 325, "total_steps": 1432, "loss": 0.7721, "lr": 9.525795530164248e-06, "epoch": 0.4533829342013485, "percentage": 22.7, "elapsed_time": "0:42:26", "remaining_time": "2:24:33"}
326
+ {"current_steps": 326, "total_steps": 1432, "loss": 0.7193, "lr": 9.520598043150333e-06, "epoch": 0.4547779586142757, "percentage": 22.77, "elapsed_time": "0:42:32", "remaining_time": "2:24:21"}
327
+ {"current_steps": 327, "total_steps": 1432, "loss": 0.72, "lr": 9.515373661622665e-06, "epoch": 0.456172983027203, "percentage": 22.84, "elapsed_time": "0:42:41", "remaining_time": "2:24:15"}
328
+ {"current_steps": 328, "total_steps": 1432, "loss": 0.7795, "lr": 9.510122416662795e-06, "epoch": 0.4575680074401302, "percentage": 22.91, "elapsed_time": "0:42:47", "remaining_time": "2:24:02"}
329
+ {"current_steps": 329, "total_steps": 1432, "loss": 0.7025, "lr": 9.504844339512096e-06, "epoch": 0.4589630318530574, "percentage": 22.97, "elapsed_time": "0:42:56", "remaining_time": "2:23:58"}
330
+ {"current_steps": 330, "total_steps": 1432, "loss": 0.7006, "lr": 9.499539461571571e-06, "epoch": 0.46035805626598464, "percentage": 23.04, "elapsed_time": "0:43:03", "remaining_time": "2:23:47"}
331
+ {"current_steps": 331, "total_steps": 1432, "loss": 0.666, "lr": 9.494207814401673e-06, "epoch": 0.46175308067891185, "percentage": 23.11, "elapsed_time": "0:43:10", "remaining_time": "2:23:35"}
332
+ {"current_steps": 332, "total_steps": 1432, "loss": 0.7533, "lr": 9.488849429722108e-06, "epoch": 0.4631481050918391, "percentage": 23.18, "elapsed_time": "0:43:16", "remaining_time": "2:23:22"}
333
+ {"current_steps": 333, "total_steps": 1432, "loss": 0.7769, "lr": 9.483464339411658e-06, "epoch": 0.46454312950476634, "percentage": 23.25, "elapsed_time": "0:43:23", "remaining_time": "2:23:11"}
334
+ {"current_steps": 334, "total_steps": 1432, "loss": 0.7196, "lr": 9.478052575507983e-06, "epoch": 0.46593815391769355, "percentage": 23.32, "elapsed_time": "0:43:30", "remaining_time": "2:23:00"}
335
+ {"current_steps": 335, "total_steps": 1432, "loss": 0.7199, "lr": 9.472614170207435e-06, "epoch": 0.46733317833062077, "percentage": 23.39, "elapsed_time": "0:43:39", "remaining_time": "2:22:57"}
336
+ {"current_steps": 336, "total_steps": 1432, "loss": 0.7437, "lr": 9.467149155864864e-06, "epoch": 0.46872820274354804, "percentage": 23.46, "elapsed_time": "0:43:45", "remaining_time": "2:22:44"}
337
+ {"current_steps": 337, "total_steps": 1432, "loss": 0.7162, "lr": 9.461657564993419e-06, "epoch": 0.47012322715647525, "percentage": 23.53, "elapsed_time": "0:43:51", "remaining_time": "2:22:31"}
338
+ {"current_steps": 338, "total_steps": 1432, "loss": 0.7497, "lr": 9.456139430264371e-06, "epoch": 0.47151825156940247, "percentage": 23.6, "elapsed_time": "0:43:58", "remaining_time": "2:22:19"}
339
+ {"current_steps": 339, "total_steps": 1432, "loss": 0.6863, "lr": 9.450594784506906e-06, "epoch": 0.4729132759823297, "percentage": 23.67, "elapsed_time": "0:44:04", "remaining_time": "2:22:07"}
340
+ {"current_steps": 340, "total_steps": 1432, "loss": 0.7678, "lr": 9.445023660707928e-06, "epoch": 0.4743083003952569, "percentage": 23.74, "elapsed_time": "0:44:14", "remaining_time": "2:22:05"}
341
+ {"current_steps": 341, "total_steps": 1432, "loss": 0.73, "lr": 9.439426092011877e-06, "epoch": 0.47570332480818417, "percentage": 23.81, "elapsed_time": "0:44:24", "remaining_time": "2:22:03"}
342
+ {"current_steps": 342, "total_steps": 1432, "loss": 0.7579, "lr": 9.433802111720513e-06, "epoch": 0.4770983492211114, "percentage": 23.88, "elapsed_time": "0:44:30", "remaining_time": "2:21:51"}
343
+ {"current_steps": 343, "total_steps": 1432, "loss": 0.7907, "lr": 9.42815175329273e-06, "epoch": 0.4784933736340386, "percentage": 23.95, "elapsed_time": "0:44:40", "remaining_time": "2:21:48"}
344
+ {"current_steps": 344, "total_steps": 1432, "loss": 0.7163, "lr": 9.42247505034436e-06, "epoch": 0.4798883980469658, "percentage": 24.02, "elapsed_time": "0:44:46", "remaining_time": "2:21:35"}
345
+ {"current_steps": 345, "total_steps": 1432, "loss": 0.7403, "lr": 9.416772036647959e-06, "epoch": 0.48128342245989303, "percentage": 24.09, "elapsed_time": "0:44:54", "remaining_time": "2:21:31"}
346
+ {"current_steps": 346, "total_steps": 1432, "loss": 0.7626, "lr": 9.411042746132617e-06, "epoch": 0.4826784468728203, "percentage": 24.16, "elapsed_time": "0:45:04", "remaining_time": "2:21:28"}
347
+ {"current_steps": 347, "total_steps": 1432, "loss": 0.7893, "lr": 9.405287212883756e-06, "epoch": 0.4840734712857475, "percentage": 24.23, "elapsed_time": "0:45:13", "remaining_time": "2:21:24"}
348
+ {"current_steps": 348, "total_steps": 1432, "loss": 0.7057, "lr": 9.39950547114292e-06, "epoch": 0.48546849569867473, "percentage": 24.3, "elapsed_time": "0:45:20", "remaining_time": "2:21:15"}
349
+ {"current_steps": 349, "total_steps": 1432, "loss": 0.7356, "lr": 9.393697555307581e-06, "epoch": 0.48686352011160194, "percentage": 24.37, "elapsed_time": "0:45:28", "remaining_time": "2:21:06"}
350
+ {"current_steps": 350, "total_steps": 1432, "loss": 0.7499, "lr": 9.387863499930925e-06, "epoch": 0.48825854452452916, "percentage": 24.44, "elapsed_time": "0:45:36", "remaining_time": "2:20:59"}
351
+ {"current_steps": 351, "total_steps": 1432, "loss": 0.7291, "lr": 9.382003339721653e-06, "epoch": 0.48965356893745643, "percentage": 24.51, "elapsed_time": "0:45:45", "remaining_time": "2:20:54"}
352
+ {"current_steps": 352, "total_steps": 1432, "loss": 0.7798, "lr": 9.376117109543769e-06, "epoch": 0.49104859335038364, "percentage": 24.58, "elapsed_time": "0:45:51", "remaining_time": "2:20:42"}
353
+ {"current_steps": 353, "total_steps": 1432, "loss": 0.728, "lr": 9.370204844416381e-06, "epoch": 0.49244361776331086, "percentage": 24.65, "elapsed_time": "0:45:57", "remaining_time": "2:20:29"}
354
+ {"current_steps": 354, "total_steps": 1432, "loss": 0.7556, "lr": 9.364266579513486e-06, "epoch": 0.4938386421762381, "percentage": 24.72, "elapsed_time": "0:46:04", "remaining_time": "2:20:18"}
355
+ {"current_steps": 355, "total_steps": 1432, "loss": 0.7675, "lr": 9.358302350163758e-06, "epoch": 0.4952336665891653, "percentage": 24.79, "elapsed_time": "0:46:11", "remaining_time": "2:20:08"}
356
+ {"current_steps": 356, "total_steps": 1432, "loss": 0.7306, "lr": 9.352312191850343e-06, "epoch": 0.49662869100209256, "percentage": 24.86, "elapsed_time": "0:46:17", "remaining_time": "2:19:56"}
357
+ {"current_steps": 357, "total_steps": 1432, "loss": 0.7229, "lr": 9.346296140210653e-06, "epoch": 0.4980237154150198, "percentage": 24.93, "elapsed_time": "0:46:25", "remaining_time": "2:19:48"}
358
+ {"current_steps": 358, "total_steps": 1432, "loss": 0.733, "lr": 9.340254231036141e-06, "epoch": 0.499418739827947, "percentage": 25.0, "elapsed_time": "0:46:33", "remaining_time": "2:19:41"}
359
+ {"current_steps": 359, "total_steps": 1432, "loss": 0.7652, "lr": 9.334186500272098e-06, "epoch": 0.5008137642408742, "percentage": 25.07, "elapsed_time": "0:46:41", "remaining_time": "2:19:33"}
360
+ {"current_steps": 360, "total_steps": 1432, "loss": 0.7165, "lr": 9.328092984017436e-06, "epoch": 0.5022087886538015, "percentage": 25.14, "elapsed_time": "0:46:47", "remaining_time": "2:19:21"}
361
+ {"current_steps": 361, "total_steps": 1432, "loss": 0.7885, "lr": 9.321973718524472e-06, "epoch": 0.5036038130667286, "percentage": 25.21, "elapsed_time": "0:46:54", "remaining_time": "2:19:09"}
362
+ {"current_steps": 362, "total_steps": 1432, "loss": 0.8033, "lr": 9.315828740198714e-06, "epoch": 0.5049988374796559, "percentage": 25.28, "elapsed_time": "0:47:00", "remaining_time": "2:18:57"}
363
+ {"current_steps": 363, "total_steps": 1432, "loss": 0.7282, "lr": 9.309658085598646e-06, "epoch": 0.5063938618925832, "percentage": 25.35, "elapsed_time": "0:47:09", "remaining_time": "2:18:52"}
364
+ {"current_steps": 364, "total_steps": 1432, "loss": 0.8171, "lr": 9.303461791435504e-06, "epoch": 0.5077888863055103, "percentage": 25.42, "elapsed_time": "0:47:20", "remaining_time": "2:18:55"}
365
+ {"current_steps": 365, "total_steps": 1432, "loss": 0.6746, "lr": 9.29723989457307e-06, "epoch": 0.5091839107184376, "percentage": 25.49, "elapsed_time": "0:47:29", "remaining_time": "2:18:50"}
366
+ {"current_steps": 366, "total_steps": 1432, "loss": 0.6326, "lr": 9.290992432027433e-06, "epoch": 0.5105789351313648, "percentage": 25.56, "elapsed_time": "0:47:36", "remaining_time": "2:18:40"}
367
+ {"current_steps": 367, "total_steps": 1432, "loss": 0.7294, "lr": 9.284719440966794e-06, "epoch": 0.511973959544292, "percentage": 25.63, "elapsed_time": "0:47:43", "remaining_time": "2:18:28"}
368
+ {"current_steps": 368, "total_steps": 1432, "loss": 0.786, "lr": 9.278420958711221e-06, "epoch": 0.5133689839572193, "percentage": 25.7, "elapsed_time": "0:47:55", "remaining_time": "2:18:33"}
369
+ {"current_steps": 369, "total_steps": 1432, "loss": 0.7645, "lr": 9.272097022732444e-06, "epoch": 0.5147640083701465, "percentage": 25.77, "elapsed_time": "0:48:04", "remaining_time": "2:18:30"}
370
+ {"current_steps": 370, "total_steps": 1432, "loss": 0.7502, "lr": 9.26574767065362e-06, "epoch": 0.5161590327830737, "percentage": 25.84, "elapsed_time": "0:48:12", "remaining_time": "2:18:22"}
371
+ {"current_steps": 371, "total_steps": 1432, "loss": 0.7404, "lr": 9.259372940249121e-06, "epoch": 0.5175540571960009, "percentage": 25.91, "elapsed_time": "0:48:20", "remaining_time": "2:18:14"}
372
+ {"current_steps": 372, "total_steps": 1432, "loss": 0.7531, "lr": 9.252972869444297e-06, "epoch": 0.5189490816089282, "percentage": 25.98, "elapsed_time": "0:48:26", "remaining_time": "2:18:01"}
373
+ {"current_steps": 373, "total_steps": 1432, "loss": 0.7246, "lr": 9.24654749631526e-06, "epoch": 0.5203441060218554, "percentage": 26.05, "elapsed_time": "0:48:36", "remaining_time": "2:18:00"}
374
+ {"current_steps": 374, "total_steps": 1432, "loss": 0.6641, "lr": 9.240096859088653e-06, "epoch": 0.5217391304347826, "percentage": 26.12, "elapsed_time": "0:48:45", "remaining_time": "2:17:56"}
375
+ {"current_steps": 375, "total_steps": 1432, "loss": 0.7311, "lr": 9.233620996141421e-06, "epoch": 0.5231341548477099, "percentage": 26.19, "elapsed_time": "0:48:53", "remaining_time": "2:17:47"}
376
+ {"current_steps": 376, "total_steps": 1432, "loss": 0.713, "lr": 9.22711994600059e-06, "epoch": 0.524529179260637, "percentage": 26.26, "elapsed_time": "0:49:00", "remaining_time": "2:17:39"}
377
+ {"current_steps": 377, "total_steps": 1432, "loss": 0.6859, "lr": 9.220593747343028e-06, "epoch": 0.5259242036735643, "percentage": 26.33, "elapsed_time": "0:49:07", "remaining_time": "2:17:27"}
378
+ {"current_steps": 378, "total_steps": 1432, "loss": 0.6851, "lr": 9.214042438995222e-06, "epoch": 0.5273192280864916, "percentage": 26.4, "elapsed_time": "0:49:14", "remaining_time": "2:17:19"}
379
+ {"current_steps": 379, "total_steps": 1432, "loss": 0.7493, "lr": 9.207466059933044e-06, "epoch": 0.5287142524994187, "percentage": 26.47, "elapsed_time": "0:49:21", "remaining_time": "2:17:09"}
380
+ {"current_steps": 380, "total_steps": 1432, "loss": 0.6697, "lr": 9.20086464928152e-06, "epoch": 0.530109276912346, "percentage": 26.54, "elapsed_time": "0:49:28", "remaining_time": "2:16:58"}
381
+ {"current_steps": 381, "total_steps": 1432, "loss": 0.7136, "lr": 9.194238246314599e-06, "epoch": 0.5315043013252732, "percentage": 26.61, "elapsed_time": "0:49:36", "remaining_time": "2:16:51"}
382
+ {"current_steps": 382, "total_steps": 1432, "loss": 0.7519, "lr": 9.187586890454916e-06, "epoch": 0.5328993257382004, "percentage": 26.68, "elapsed_time": "0:49:45", "remaining_time": "2:16:45"}
383
+ {"current_steps": 383, "total_steps": 1432, "loss": 0.7361, "lr": 9.180910621273555e-06, "epoch": 0.5342943501511277, "percentage": 26.75, "elapsed_time": "0:49:52", "remaining_time": "2:16:35"}
384
+ {"current_steps": 384, "total_steps": 1432, "loss": 0.7517, "lr": 9.174209478489826e-06, "epoch": 0.5356893745640549, "percentage": 26.82, "elapsed_time": "0:49:59", "remaining_time": "2:16:26"}
385
+ {"current_steps": 385, "total_steps": 1432, "loss": 0.7798, "lr": 9.16748350197101e-06, "epoch": 0.5370843989769821, "percentage": 26.89, "elapsed_time": "0:50:06", "remaining_time": "2:16:17"}
386
+ {"current_steps": 386, "total_steps": 1432, "loss": 0.7126, "lr": 9.160732731732144e-06, "epoch": 0.5384794233899093, "percentage": 26.96, "elapsed_time": "0:50:13", "remaining_time": "2:16:04"}
387
+ {"current_steps": 387, "total_steps": 1432, "loss": 0.73, "lr": 9.153957207935758e-06, "epoch": 0.5398744478028366, "percentage": 27.03, "elapsed_time": "0:50:19", "remaining_time": "2:15:52"}
388
+ {"current_steps": 388, "total_steps": 1432, "loss": 0.7004, "lr": 9.14715697089166e-06, "epoch": 0.5412694722157638, "percentage": 27.09, "elapsed_time": "0:50:29", "remaining_time": "2:15:50"}
389
+ {"current_steps": 389, "total_steps": 1432, "loss": 0.7159, "lr": 9.140332061056678e-06, "epoch": 0.542664496628691, "percentage": 27.16, "elapsed_time": "0:50:36", "remaining_time": "2:15:40"}
390
+ {"current_steps": 390, "total_steps": 1432, "loss": 0.7684, "lr": 9.133482519034428e-06, "epoch": 0.5440595210416183, "percentage": 27.23, "elapsed_time": "0:50:44", "remaining_time": "2:15:34"}
391
+ {"current_steps": 391, "total_steps": 1432, "loss": 0.772, "lr": 9.126608385575076e-06, "epoch": 0.5454545454545454, "percentage": 27.3, "elapsed_time": "0:50:52", "remaining_time": "2:15:26"}
392
+ {"current_steps": 392, "total_steps": 1432, "loss": 0.7218, "lr": 9.119709701575084e-06, "epoch": 0.5468495698674727, "percentage": 27.37, "elapsed_time": "0:50:58", "remaining_time": "2:15:15"}
393
+ {"current_steps": 393, "total_steps": 1432, "loss": 0.8417, "lr": 9.112786508076972e-06, "epoch": 0.5482445942804, "percentage": 27.44, "elapsed_time": "0:51:07", "remaining_time": "2:15:10"}
394
+ {"current_steps": 394, "total_steps": 1432, "loss": 0.6464, "lr": 9.105838846269085e-06, "epoch": 0.5496396186933271, "percentage": 27.51, "elapsed_time": "0:51:14", "remaining_time": "2:14:59"}
395
+ {"current_steps": 395, "total_steps": 1432, "loss": 0.7855, "lr": 9.098866757485328e-06, "epoch": 0.5510346431062544, "percentage": 27.58, "elapsed_time": "0:51:21", "remaining_time": "2:14:49"}
396
+ {"current_steps": 396, "total_steps": 1432, "loss": 0.679, "lr": 9.091870283204934e-06, "epoch": 0.5524296675191815, "percentage": 27.65, "elapsed_time": "0:51:28", "remaining_time": "2:14:40"}
397
+ {"current_steps": 397, "total_steps": 1432, "loss": 0.7611, "lr": 9.08484946505221e-06, "epoch": 0.5538246919321088, "percentage": 27.72, "elapsed_time": "0:51:35", "remaining_time": "2:14:30"}
398
+ {"current_steps": 398, "total_steps": 1432, "loss": 0.6987, "lr": 9.077804344796302e-06, "epoch": 0.5552197163450361, "percentage": 27.79, "elapsed_time": "0:51:43", "remaining_time": "2:14:21"}
399
+ {"current_steps": 399, "total_steps": 1432, "loss": 0.7735, "lr": 9.070734964350926e-06, "epoch": 0.5566147407579632, "percentage": 27.86, "elapsed_time": "0:51:51", "remaining_time": "2:14:15"}
400
+ {"current_steps": 400, "total_steps": 1432, "loss": 0.7207, "lr": 9.063641365774136e-06, "epoch": 0.5580097651708905, "percentage": 27.93, "elapsed_time": "0:51:57", "remaining_time": "2:14:04"}
401
+ {"current_steps": 401, "total_steps": 1432, "loss": 0.6825, "lr": 9.056523591268064e-06, "epoch": 0.5594047895838177, "percentage": 28.0, "elapsed_time": "0:53:56", "remaining_time": "2:18:41"}
402
+ {"current_steps": 402, "total_steps": 1432, "loss": 0.7655, "lr": 9.049381683178677e-06, "epoch": 0.560799813996745, "percentage": 28.07, "elapsed_time": "0:54:07", "remaining_time": "2:18:40"}
403
+ {"current_steps": 403, "total_steps": 1432, "loss": 0.7141, "lr": 9.042215683995516e-06, "epoch": 0.5621948384096722, "percentage": 28.14, "elapsed_time": "0:54:14", "remaining_time": "2:18:29"}
404
+ {"current_steps": 404, "total_steps": 1432, "loss": 0.7203, "lr": 9.035025636351453e-06, "epoch": 0.5635898628225994, "percentage": 28.21, "elapsed_time": "0:54:21", "remaining_time": "2:18:20"}
405
+ {"current_steps": 405, "total_steps": 1432, "loss": 0.7036, "lr": 9.027811583022427e-06, "epoch": 0.5649848872355266, "percentage": 28.28, "elapsed_time": "0:54:32", "remaining_time": "2:18:18"}
406
+ {"current_steps": 406, "total_steps": 1432, "loss": 0.6862, "lr": 9.020573566927196e-06, "epoch": 0.5663799116484538, "percentage": 28.35, "elapsed_time": "0:54:39", "remaining_time": "2:18:07"}
407
+ {"current_steps": 407, "total_steps": 1432, "loss": 0.7569, "lr": 9.013311631127082e-06, "epoch": 0.5677749360613811, "percentage": 28.42, "elapsed_time": "0:54:49", "remaining_time": "2:18:03"}
408
+ {"current_steps": 408, "total_steps": 1432, "loss": 0.764, "lr": 9.006025818825712e-06, "epoch": 0.5691699604743083, "percentage": 28.49, "elapsed_time": "0:54:58", "remaining_time": "2:17:59"}
409
+ {"current_steps": 409, "total_steps": 1432, "loss": 0.7465, "lr": 8.998716173368762e-06, "epoch": 0.5705649848872355, "percentage": 28.56, "elapsed_time": "0:55:07", "remaining_time": "2:17:52"}
410
+ {"current_steps": 410, "total_steps": 1432, "loss": 0.7121, "lr": 8.991382738243699e-06, "epoch": 0.5719600093001628, "percentage": 28.63, "elapsed_time": "0:55:16", "remaining_time": "2:17:46"}
411
+ {"current_steps": 411, "total_steps": 1432, "loss": 0.7225, "lr": 8.984025557079523e-06, "epoch": 0.5733550337130899, "percentage": 28.7, "elapsed_time": "0:55:23", "remaining_time": "2:17:35"}
412
+ {"current_steps": 412, "total_steps": 1432, "loss": 0.7518, "lr": 8.97664467364651e-06, "epoch": 0.5747500581260172, "percentage": 28.77, "elapsed_time": "0:55:30", "remaining_time": "2:17:25"}
413
+ {"current_steps": 413, "total_steps": 1432, "loss": 0.713, "lr": 8.96924013185594e-06, "epoch": 0.5761450825389445, "percentage": 28.84, "elapsed_time": "0:55:39", "remaining_time": "2:17:18"}
414
+ {"current_steps": 414, "total_steps": 1432, "loss": 0.762, "lr": 8.961811975759854e-06, "epoch": 0.5775401069518716, "percentage": 28.91, "elapsed_time": "0:55:46", "remaining_time": "2:17:09"}
415
+ {"current_steps": 415, "total_steps": 1432, "loss": 0.7239, "lr": 8.954360249550776e-06, "epoch": 0.5789351313647989, "percentage": 28.98, "elapsed_time": "0:55:55", "remaining_time": "2:17:03"}
training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:b34567f7acf00cd29bdaae83ba4b6e5f3ee176f3c36a622ffa4123baf680e41a
3
+ size 7736
vocab.json ADDED
The diff for this file is too large to render. See raw diff