ryanmarten commited on
Commit
18b46be
·
verified ·
1 Parent(s): d507513

Training in progress, epoch 0

Browse files
.gitattributes CHANGED
@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
33
  *.zip filter=lfs diff=lfs merge=lfs -text
34
  *.zst filter=lfs diff=lfs merge=lfs -text
35
  *tfevents* filter=lfs diff=lfs merge=lfs -text
 
 
33
  *.zip filter=lfs diff=lfs merge=lfs -text
34
  *.zst filter=lfs diff=lfs merge=lfs -text
35
  *tfevents* filter=lfs diff=lfs merge=lfs -text
36
+ tokenizer.json filter=lfs diff=lfs merge=lfs -text
added_tokens.json ADDED
@@ -0,0 +1,24 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "</tool_call>": 151658,
3
+ "<tool_call>": 151657,
4
+ "<|box_end|>": 151649,
5
+ "<|box_start|>": 151648,
6
+ "<|endoftext|>": 151643,
7
+ "<|file_sep|>": 151664,
8
+ "<|fim_middle|>": 151660,
9
+ "<|fim_pad|>": 151662,
10
+ "<|fim_prefix|>": 151659,
11
+ "<|fim_suffix|>": 151661,
12
+ "<|im_end|>": 151645,
13
+ "<|im_start|>": 151644,
14
+ "<|image_pad|>": 151655,
15
+ "<|object_ref_end|>": 151647,
16
+ "<|object_ref_start|>": 151646,
17
+ "<|quad_end|>": 151651,
18
+ "<|quad_start|>": 151650,
19
+ "<|repo_name|>": 151663,
20
+ "<|video_pad|>": 151656,
21
+ "<|vision_end|>": 151653,
22
+ "<|vision_pad|>": 151654,
23
+ "<|vision_start|>": 151652
24
+ }
config.json ADDED
@@ -0,0 +1,29 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_name_or_path": "Qwen/Qwen2.5-7B-Instruct",
3
+ "architectures": [
4
+ "Qwen2ForCausalLM"
5
+ ],
6
+ "attention_dropout": 0.0,
7
+ "bos_token_id": 151643,
8
+ "eos_token_id": 151645,
9
+ "hidden_act": "silu",
10
+ "hidden_size": 3584,
11
+ "initializer_range": 0.02,
12
+ "intermediate_size": 18944,
13
+ "max_position_embeddings": 32768,
14
+ "max_window_layers": 28,
15
+ "model_type": "qwen2",
16
+ "num_attention_heads": 28,
17
+ "num_hidden_layers": 28,
18
+ "num_key_value_heads": 4,
19
+ "rms_norm_eps": 1e-06,
20
+ "rope_scaling": null,
21
+ "rope_theta": 1000000.0,
22
+ "sliding_window": null,
23
+ "tie_word_embeddings": false,
24
+ "torch_dtype": "bfloat16",
25
+ "transformers_version": "4.46.1",
26
+ "use_cache": false,
27
+ "use_sliding_window": false,
28
+ "vocab_size": 152064
29
+ }
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:b554e8cb89b6e0b34bd4bdc8f8cce1bf3956551c976218a5371872031eac780f
3
+ size 4877660776
model-00002-of-00004.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:8b5f9a9d8595b70e0be4064bb1fed0805bdef7512b4f41e380fef0eb89f449f2
3
+ size 4932751008
model-00003-of-00004.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:06ed69847bcd88c4d2338df0baf2e83b191a65db9bffa86c6b008e7f2f01db2a
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:d8dca0193f75af351fd97863c9cbe31d47f18dc3778afc5760652b779049eb94
3
+ size 1089994880
model.safetensors.index.json ADDED
@@ -0,0 +1,346 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "metadata": {
3
+ "total_size": 15231233024
4
+ },
5
+ "weight_map": {
6
+ "lm_head.weight": "model-00004-of-00004.safetensors",
7
+ "model.embed_tokens.weight": "model-00001-of-00004.safetensors",
8
+ "model.layers.0.input_layernorm.weight": "model-00001-of-00004.safetensors",
9
+ "model.layers.0.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
10
+ "model.layers.0.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
11
+ "model.layers.0.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
12
+ "model.layers.0.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
13
+ "model.layers.0.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
14
+ "model.layers.0.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
15
+ "model.layers.0.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
16
+ "model.layers.0.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
17
+ "model.layers.0.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
18
+ "model.layers.0.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
19
+ "model.layers.0.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
20
+ "model.layers.1.input_layernorm.weight": "model-00001-of-00004.safetensors",
21
+ "model.layers.1.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
22
+ "model.layers.1.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
23
+ "model.layers.1.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
24
+ "model.layers.1.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
25
+ "model.layers.1.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
26
+ "model.layers.1.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
27
+ "model.layers.1.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
28
+ "model.layers.1.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
29
+ "model.layers.1.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
30
+ "model.layers.1.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
31
+ "model.layers.1.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
32
+ "model.layers.10.input_layernorm.weight": "model-00002-of-00004.safetensors",
33
+ "model.layers.10.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
34
+ "model.layers.10.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
35
+ "model.layers.10.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
36
+ "model.layers.10.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
37
+ "model.layers.10.self_attn.k_proj.bias": "model-00002-of-00004.safetensors",
38
+ "model.layers.10.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
39
+ "model.layers.10.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
40
+ "model.layers.10.self_attn.q_proj.bias": "model-00002-of-00004.safetensors",
41
+ "model.layers.10.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
42
+ "model.layers.10.self_attn.v_proj.bias": "model-00002-of-00004.safetensors",
43
+ "model.layers.10.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
44
+ "model.layers.11.input_layernorm.weight": "model-00002-of-00004.safetensors",
45
+ "model.layers.11.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
46
+ "model.layers.11.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
47
+ "model.layers.11.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
48
+ "model.layers.11.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
49
+ "model.layers.11.self_attn.k_proj.bias": "model-00002-of-00004.safetensors",
50
+ "model.layers.11.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
51
+ "model.layers.11.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
52
+ "model.layers.11.self_attn.q_proj.bias": "model-00002-of-00004.safetensors",
53
+ "model.layers.11.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
54
+ "model.layers.11.self_attn.v_proj.bias": "model-00002-of-00004.safetensors",
55
+ "model.layers.11.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
56
+ "model.layers.12.input_layernorm.weight": "model-00002-of-00004.safetensors",
57
+ "model.layers.12.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
58
+ "model.layers.12.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
59
+ "model.layers.12.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
60
+ "model.layers.12.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
61
+ "model.layers.12.self_attn.k_proj.bias": "model-00002-of-00004.safetensors",
62
+ "model.layers.12.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
63
+ "model.layers.12.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
64
+ "model.layers.12.self_attn.q_proj.bias": "model-00002-of-00004.safetensors",
65
+ "model.layers.12.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
66
+ "model.layers.12.self_attn.v_proj.bias": "model-00002-of-00004.safetensors",
67
+ "model.layers.12.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
68
+ "model.layers.13.input_layernorm.weight": "model-00002-of-00004.safetensors",
69
+ "model.layers.13.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
70
+ "model.layers.13.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
71
+ "model.layers.13.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
72
+ "model.layers.13.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
73
+ "model.layers.13.self_attn.k_proj.bias": "model-00002-of-00004.safetensors",
74
+ "model.layers.13.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
75
+ "model.layers.13.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
76
+ "model.layers.13.self_attn.q_proj.bias": "model-00002-of-00004.safetensors",
77
+ "model.layers.13.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
78
+ "model.layers.13.self_attn.v_proj.bias": "model-00002-of-00004.safetensors",
79
+ "model.layers.13.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
80
+ "model.layers.14.input_layernorm.weight": "model-00002-of-00004.safetensors",
81
+ "model.layers.14.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
82
+ "model.layers.14.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
83
+ "model.layers.14.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
84
+ "model.layers.14.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
85
+ "model.layers.14.self_attn.k_proj.bias": "model-00002-of-00004.safetensors",
86
+ "model.layers.14.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
87
+ "model.layers.14.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
88
+ "model.layers.14.self_attn.q_proj.bias": "model-00002-of-00004.safetensors",
89
+ "model.layers.14.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
90
+ "model.layers.14.self_attn.v_proj.bias": "model-00002-of-00004.safetensors",
91
+ "model.layers.14.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
92
+ "model.layers.15.input_layernorm.weight": "model-00002-of-00004.safetensors",
93
+ "model.layers.15.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
94
+ "model.layers.15.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
95
+ "model.layers.15.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
96
+ "model.layers.15.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
97
+ "model.layers.15.self_attn.k_proj.bias": "model-00002-of-00004.safetensors",
98
+ "model.layers.15.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
99
+ "model.layers.15.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
100
+ "model.layers.15.self_attn.q_proj.bias": "model-00002-of-00004.safetensors",
101
+ "model.layers.15.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
102
+ "model.layers.15.self_attn.v_proj.bias": "model-00002-of-00004.safetensors",
103
+ "model.layers.15.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
104
+ "model.layers.16.input_layernorm.weight": "model-00002-of-00004.safetensors",
105
+ "model.layers.16.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
106
+ "model.layers.16.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
107
+ "model.layers.16.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
108
+ "model.layers.16.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
109
+ "model.layers.16.self_attn.k_proj.bias": "model-00002-of-00004.safetensors",
110
+ "model.layers.16.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
111
+ "model.layers.16.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
112
+ "model.layers.16.self_attn.q_proj.bias": "model-00002-of-00004.safetensors",
113
+ "model.layers.16.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
114
+ "model.layers.16.self_attn.v_proj.bias": "model-00002-of-00004.safetensors",
115
+ "model.layers.16.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
116
+ "model.layers.17.input_layernorm.weight": "model-00002-of-00004.safetensors",
117
+ "model.layers.17.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
118
+ "model.layers.17.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
119
+ "model.layers.17.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
120
+ "model.layers.17.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
121
+ "model.layers.17.self_attn.k_proj.bias": "model-00002-of-00004.safetensors",
122
+ "model.layers.17.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
123
+ "model.layers.17.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
124
+ "model.layers.17.self_attn.q_proj.bias": "model-00002-of-00004.safetensors",
125
+ "model.layers.17.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
126
+ "model.layers.17.self_attn.v_proj.bias": "model-00002-of-00004.safetensors",
127
+ "model.layers.17.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
128
+ "model.layers.18.input_layernorm.weight": "model-00003-of-00004.safetensors",
129
+ "model.layers.18.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
130
+ "model.layers.18.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
131
+ "model.layers.18.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
132
+ "model.layers.18.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
133
+ "model.layers.18.self_attn.k_proj.bias": "model-00002-of-00004.safetensors",
134
+ "model.layers.18.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
135
+ "model.layers.18.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
136
+ "model.layers.18.self_attn.q_proj.bias": "model-00002-of-00004.safetensors",
137
+ "model.layers.18.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
138
+ "model.layers.18.self_attn.v_proj.bias": "model-00002-of-00004.safetensors",
139
+ "model.layers.18.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
140
+ "model.layers.19.input_layernorm.weight": "model-00003-of-00004.safetensors",
141
+ "model.layers.19.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
142
+ "model.layers.19.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
143
+ "model.layers.19.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
144
+ "model.layers.19.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
145
+ "model.layers.19.self_attn.k_proj.bias": "model-00003-of-00004.safetensors",
146
+ "model.layers.19.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
147
+ "model.layers.19.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
148
+ "model.layers.19.self_attn.q_proj.bias": "model-00003-of-00004.safetensors",
149
+ "model.layers.19.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
150
+ "model.layers.19.self_attn.v_proj.bias": "model-00003-of-00004.safetensors",
151
+ "model.layers.19.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
152
+ "model.layers.2.input_layernorm.weight": "model-00001-of-00004.safetensors",
153
+ "model.layers.2.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
154
+ "model.layers.2.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
155
+ "model.layers.2.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
156
+ "model.layers.2.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
157
+ "model.layers.2.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
158
+ "model.layers.2.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
159
+ "model.layers.2.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
160
+ "model.layers.2.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
161
+ "model.layers.2.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
162
+ "model.layers.2.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
163
+ "model.layers.2.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
164
+ "model.layers.20.input_layernorm.weight": "model-00003-of-00004.safetensors",
165
+ "model.layers.20.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
166
+ "model.layers.20.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
167
+ "model.layers.20.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
168
+ "model.layers.20.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
169
+ "model.layers.20.self_attn.k_proj.bias": "model-00003-of-00004.safetensors",
170
+ "model.layers.20.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
171
+ "model.layers.20.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
172
+ "model.layers.20.self_attn.q_proj.bias": "model-00003-of-00004.safetensors",
173
+ "model.layers.20.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
174
+ "model.layers.20.self_attn.v_proj.bias": "model-00003-of-00004.safetensors",
175
+ "model.layers.20.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
176
+ "model.layers.21.input_layernorm.weight": "model-00003-of-00004.safetensors",
177
+ "model.layers.21.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
178
+ "model.layers.21.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
179
+ "model.layers.21.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
180
+ "model.layers.21.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
181
+ "model.layers.21.self_attn.k_proj.bias": "model-00003-of-00004.safetensors",
182
+ "model.layers.21.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
183
+ "model.layers.21.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
184
+ "model.layers.21.self_attn.q_proj.bias": "model-00003-of-00004.safetensors",
185
+ "model.layers.21.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
186
+ "model.layers.21.self_attn.v_proj.bias": "model-00003-of-00004.safetensors",
187
+ "model.layers.21.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
188
+ "model.layers.22.input_layernorm.weight": "model-00003-of-00004.safetensors",
189
+ "model.layers.22.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
190
+ "model.layers.22.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
191
+ "model.layers.22.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
192
+ "model.layers.22.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
193
+ "model.layers.22.self_attn.k_proj.bias": "model-00003-of-00004.safetensors",
194
+ "model.layers.22.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
195
+ "model.layers.22.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
196
+ "model.layers.22.self_attn.q_proj.bias": "model-00003-of-00004.safetensors",
197
+ "model.layers.22.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
198
+ "model.layers.22.self_attn.v_proj.bias": "model-00003-of-00004.safetensors",
199
+ "model.layers.22.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
200
+ "model.layers.23.input_layernorm.weight": "model-00003-of-00004.safetensors",
201
+ "model.layers.23.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
202
+ "model.layers.23.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
203
+ "model.layers.23.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
204
+ "model.layers.23.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
205
+ "model.layers.23.self_attn.k_proj.bias": "model-00003-of-00004.safetensors",
206
+ "model.layers.23.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
207
+ "model.layers.23.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
208
+ "model.layers.23.self_attn.q_proj.bias": "model-00003-of-00004.safetensors",
209
+ "model.layers.23.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
210
+ "model.layers.23.self_attn.v_proj.bias": "model-00003-of-00004.safetensors",
211
+ "model.layers.23.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
212
+ "model.layers.24.input_layernorm.weight": "model-00003-of-00004.safetensors",
213
+ "model.layers.24.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
214
+ "model.layers.24.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
215
+ "model.layers.24.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
216
+ "model.layers.24.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
217
+ "model.layers.24.self_attn.k_proj.bias": "model-00003-of-00004.safetensors",
218
+ "model.layers.24.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
219
+ "model.layers.24.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
220
+ "model.layers.24.self_attn.q_proj.bias": "model-00003-of-00004.safetensors",
221
+ "model.layers.24.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
222
+ "model.layers.24.self_attn.v_proj.bias": "model-00003-of-00004.safetensors",
223
+ "model.layers.24.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
224
+ "model.layers.25.input_layernorm.weight": "model-00003-of-00004.safetensors",
225
+ "model.layers.25.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
226
+ "model.layers.25.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
227
+ "model.layers.25.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
228
+ "model.layers.25.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
229
+ "model.layers.25.self_attn.k_proj.bias": "model-00003-of-00004.safetensors",
230
+ "model.layers.25.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
231
+ "model.layers.25.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
232
+ "model.layers.25.self_attn.q_proj.bias": "model-00003-of-00004.safetensors",
233
+ "model.layers.25.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
234
+ "model.layers.25.self_attn.v_proj.bias": "model-00003-of-00004.safetensors",
235
+ "model.layers.25.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
236
+ "model.layers.26.input_layernorm.weight": "model-00003-of-00004.safetensors",
237
+ "model.layers.26.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
238
+ "model.layers.26.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
239
+ "model.layers.26.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
240
+ "model.layers.26.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
241
+ "model.layers.26.self_attn.k_proj.bias": "model-00003-of-00004.safetensors",
242
+ "model.layers.26.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
243
+ "model.layers.26.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
244
+ "model.layers.26.self_attn.q_proj.bias": "model-00003-of-00004.safetensors",
245
+ "model.layers.26.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
246
+ "model.layers.26.self_attn.v_proj.bias": "model-00003-of-00004.safetensors",
247
+ "model.layers.26.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
248
+ "model.layers.27.input_layernorm.weight": "model-00003-of-00004.safetensors",
249
+ "model.layers.27.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
250
+ "model.layers.27.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
251
+ "model.layers.27.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
252
+ "model.layers.27.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
253
+ "model.layers.27.self_attn.k_proj.bias": "model-00003-of-00004.safetensors",
254
+ "model.layers.27.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
255
+ "model.layers.27.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
256
+ "model.layers.27.self_attn.q_proj.bias": "model-00003-of-00004.safetensors",
257
+ "model.layers.27.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
258
+ "model.layers.27.self_attn.v_proj.bias": "model-00003-of-00004.safetensors",
259
+ "model.layers.27.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
260
+ "model.layers.3.input_layernorm.weight": "model-00001-of-00004.safetensors",
261
+ "model.layers.3.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
262
+ "model.layers.3.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
263
+ "model.layers.3.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
264
+ "model.layers.3.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
265
+ "model.layers.3.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
266
+ "model.layers.3.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
267
+ "model.layers.3.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
268
+ "model.layers.3.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
269
+ "model.layers.3.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
270
+ "model.layers.3.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
271
+ "model.layers.3.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
272
+ "model.layers.4.input_layernorm.weight": "model-00001-of-00004.safetensors",
273
+ "model.layers.4.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
274
+ "model.layers.4.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
275
+ "model.layers.4.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
276
+ "model.layers.4.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
277
+ "model.layers.4.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
278
+ "model.layers.4.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
279
+ "model.layers.4.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
280
+ "model.layers.4.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
281
+ "model.layers.4.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
282
+ "model.layers.4.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
283
+ "model.layers.4.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
284
+ "model.layers.5.input_layernorm.weight": "model-00001-of-00004.safetensors",
285
+ "model.layers.5.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
286
+ "model.layers.5.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
287
+ "model.layers.5.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
288
+ "model.layers.5.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
289
+ "model.layers.5.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
290
+ "model.layers.5.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
291
+ "model.layers.5.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
292
+ "model.layers.5.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
293
+ "model.layers.5.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
294
+ "model.layers.5.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
295
+ "model.layers.5.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
296
+ "model.layers.6.input_layernorm.weight": "model-00001-of-00004.safetensors",
297
+ "model.layers.6.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
298
+ "model.layers.6.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
299
+ "model.layers.6.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
300
+ "model.layers.6.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
301
+ "model.layers.6.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
302
+ "model.layers.6.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
303
+ "model.layers.6.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
304
+ "model.layers.6.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
305
+ "model.layers.6.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
306
+ "model.layers.6.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
307
+ "model.layers.6.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
308
+ "model.layers.7.input_layernorm.weight": "model-00001-of-00004.safetensors",
309
+ "model.layers.7.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
310
+ "model.layers.7.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
311
+ "model.layers.7.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
312
+ "model.layers.7.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
313
+ "model.layers.7.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
314
+ "model.layers.7.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
315
+ "model.layers.7.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
316
+ "model.layers.7.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
317
+ "model.layers.7.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
318
+ "model.layers.7.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
319
+ "model.layers.7.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
320
+ "model.layers.8.input_layernorm.weight": "model-00002-of-00004.safetensors",
321
+ "model.layers.8.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
322
+ "model.layers.8.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
323
+ "model.layers.8.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
324
+ "model.layers.8.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
325
+ "model.layers.8.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
326
+ "model.layers.8.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
327
+ "model.layers.8.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
328
+ "model.layers.8.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
329
+ "model.layers.8.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
330
+ "model.layers.8.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
331
+ "model.layers.8.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
332
+ "model.layers.9.input_layernorm.weight": "model-00002-of-00004.safetensors",
333
+ "model.layers.9.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
334
+ "model.layers.9.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
335
+ "model.layers.9.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
336
+ "model.layers.9.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
337
+ "model.layers.9.self_attn.k_proj.bias": "model-00002-of-00004.safetensors",
338
+ "model.layers.9.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
339
+ "model.layers.9.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
340
+ "model.layers.9.self_attn.q_proj.bias": "model-00002-of-00004.safetensors",
341
+ "model.layers.9.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
342
+ "model.layers.9.self_attn.v_proj.bias": "model-00002-of-00004.safetensors",
343
+ "model.layers.9.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
344
+ "model.norm.weight": "model-00003-of-00004.safetensors"
345
+ }
346
+ }
special_tokens_map.json ADDED
@@ -0,0 +1,31 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "additional_special_tokens": [
3
+ "<|im_start|>",
4
+ "<|im_end|>",
5
+ "<|object_ref_start|>",
6
+ "<|object_ref_end|>",
7
+ "<|box_start|>",
8
+ "<|box_end|>",
9
+ "<|quad_start|>",
10
+ "<|quad_end|>",
11
+ "<|vision_start|>",
12
+ "<|vision_end|>",
13
+ "<|vision_pad|>",
14
+ "<|image_pad|>",
15
+ "<|video_pad|>"
16
+ ],
17
+ "eos_token": {
18
+ "content": "<|endoftext|>",
19
+ "lstrip": false,
20
+ "normalized": false,
21
+ "rstrip": false,
22
+ "single_word": false
23
+ },
24
+ "pad_token": {
25
+ "content": "<|endoftext|>",
26
+ "lstrip": false,
27
+ "normalized": false,
28
+ "rstrip": false,
29
+ "single_word": false
30
+ }
31
+ }
tokenizer.json ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:9c5ae00e602b8860cbd784ba82a8aa14e8feecec692e7076590d014d7b7fdafa
3
+ size 11421896
tokenizer_config.json ADDED
@@ -0,0 +1,208 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "add_bos_token": false,
3
+ "add_prefix_space": false,
4
+ "added_tokens_decoder": {
5
+ "151643": {
6
+ "content": "<|endoftext|>",
7
+ "lstrip": false,
8
+ "normalized": false,
9
+ "rstrip": false,
10
+ "single_word": false,
11
+ "special": true
12
+ },
13
+ "151644": {
14
+ "content": "<|im_start|>",
15
+ "lstrip": false,
16
+ "normalized": false,
17
+ "rstrip": false,
18
+ "single_word": false,
19
+ "special": true
20
+ },
21
+ "151645": {
22
+ "content": "<|im_end|>",
23
+ "lstrip": false,
24
+ "normalized": false,
25
+ "rstrip": false,
26
+ "single_word": false,
27
+ "special": true
28
+ },
29
+ "151646": {
30
+ "content": "<|object_ref_start|>",
31
+ "lstrip": false,
32
+ "normalized": false,
33
+ "rstrip": false,
34
+ "single_word": false,
35
+ "special": true
36
+ },
37
+ "151647": {
38
+ "content": "<|object_ref_end|>",
39
+ "lstrip": false,
40
+ "normalized": false,
41
+ "rstrip": false,
42
+ "single_word": false,
43
+ "special": true
44
+ },
45
+ "151648": {
46
+ "content": "<|box_start|>",
47
+ "lstrip": false,
48
+ "normalized": false,
49
+ "rstrip": false,
50
+ "single_word": false,
51
+ "special": true
52
+ },
53
+ "151649": {
54
+ "content": "<|box_end|>",
55
+ "lstrip": false,
56
+ "normalized": false,
57
+ "rstrip": false,
58
+ "single_word": false,
59
+ "special": true
60
+ },
61
+ "151650": {
62
+ "content": "<|quad_start|>",
63
+ "lstrip": false,
64
+ "normalized": false,
65
+ "rstrip": false,
66
+ "single_word": false,
67
+ "special": true
68
+ },
69
+ "151651": {
70
+ "content": "<|quad_end|>",
71
+ "lstrip": false,
72
+ "normalized": false,
73
+ "rstrip": false,
74
+ "single_word": false,
75
+ "special": true
76
+ },
77
+ "151652": {
78
+ "content": "<|vision_start|>",
79
+ "lstrip": false,
80
+ "normalized": false,
81
+ "rstrip": false,
82
+ "single_word": false,
83
+ "special": true
84
+ },
85
+ "151653": {
86
+ "content": "<|vision_end|>",
87
+ "lstrip": false,
88
+ "normalized": false,
89
+ "rstrip": false,
90
+ "single_word": false,
91
+ "special": true
92
+ },
93
+ "151654": {
94
+ "content": "<|vision_pad|>",
95
+ "lstrip": false,
96
+ "normalized": false,
97
+ "rstrip": false,
98
+ "single_word": false,
99
+ "special": true
100
+ },
101
+ "151655": {
102
+ "content": "<|image_pad|>",
103
+ "lstrip": false,
104
+ "normalized": false,
105
+ "rstrip": false,
106
+ "single_word": false,
107
+ "special": true
108
+ },
109
+ "151656": {
110
+ "content": "<|video_pad|>",
111
+ "lstrip": false,
112
+ "normalized": false,
113
+ "rstrip": false,
114
+ "single_word": false,
115
+ "special": true
116
+ },
117
+ "151657": {
118
+ "content": "<tool_call>",
119
+ "lstrip": false,
120
+ "normalized": false,
121
+ "rstrip": false,
122
+ "single_word": false,
123
+ "special": false
124
+ },
125
+ "151658": {
126
+ "content": "</tool_call>",
127
+ "lstrip": false,
128
+ "normalized": false,
129
+ "rstrip": false,
130
+ "single_word": false,
131
+ "special": false
132
+ },
133
+ "151659": {
134
+ "content": "<|fim_prefix|>",
135
+ "lstrip": false,
136
+ "normalized": false,
137
+ "rstrip": false,
138
+ "single_word": false,
139
+ "special": false
140
+ },
141
+ "151660": {
142
+ "content": "<|fim_middle|>",
143
+ "lstrip": false,
144
+ "normalized": false,
145
+ "rstrip": false,
146
+ "single_word": false,
147
+ "special": false
148
+ },
149
+ "151661": {
150
+ "content": "<|fim_suffix|>",
151
+ "lstrip": false,
152
+ "normalized": false,
153
+ "rstrip": false,
154
+ "single_word": false,
155
+ "special": false
156
+ },
157
+ "151662": {
158
+ "content": "<|fim_pad|>",
159
+ "lstrip": false,
160
+ "normalized": false,
161
+ "rstrip": false,
162
+ "single_word": false,
163
+ "special": false
164
+ },
165
+ "151663": {
166
+ "content": "<|repo_name|>",
167
+ "lstrip": false,
168
+ "normalized": false,
169
+ "rstrip": false,
170
+ "single_word": false,
171
+ "special": false
172
+ },
173
+ "151664": {
174
+ "content": "<|file_sep|>",
175
+ "lstrip": false,
176
+ "normalized": false,
177
+ "rstrip": false,
178
+ "single_word": false,
179
+ "special": false
180
+ }
181
+ },
182
+ "additional_special_tokens": [
183
+ "<|im_start|>",
184
+ "<|im_end|>",
185
+ "<|object_ref_start|>",
186
+ "<|object_ref_end|>",
187
+ "<|box_start|>",
188
+ "<|box_end|>",
189
+ "<|quad_start|>",
190
+ "<|quad_end|>",
191
+ "<|vision_start|>",
192
+ "<|vision_end|>",
193
+ "<|vision_pad|>",
194
+ "<|image_pad|>",
195
+ "<|video_pad|>"
196
+ ],
197
+ "bos_token": null,
198
+ "chat_template": "{%- if tools %}\n {{- '<|im_start|>system\\n' }}\n {%- if messages[0]['role'] == 'system' %}\n {{- messages[0]['content'] }}\n {%- else %}\n {{- 'You are Qwen, created by Alibaba Cloud. You are a helpful assistant.' }}\n {%- endif %}\n {{- \"\\n\\n# Tools\\n\\nYou may call one or more functions to assist with the user query.\\n\\nYou are provided with function signatures within <tools></tools> XML tags:\\n<tools>\" }}\n {%- for tool in tools %}\n {{- \"\\n\" }}\n {{- tool | tojson }}\n {%- endfor %}\n {{- \"\\n</tools>\\n\\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\\n<tool_call>\\n{\\\"name\\\": <function-name>, \\\"arguments\\\": <args-json-object>}\\n</tool_call><|im_end|>\\n\" }}\n{%- else %}\n {%- if messages[0]['role'] == 'system' %}\n {{- '<|im_start|>system\\n' + messages[0]['content'] + '<|im_end|>\\n' }}\n {%- else %}\n {{- '<|im_start|>system\\nYou are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>\\n' }}\n {%- endif %}\n{%- endif %}\n{%- for message in messages %}\n {%- if (message.role == \"user\") or (message.role == \"system\" and not loop.first) or (message.role == \"assistant\" and not message.tool_calls) %}\n {{- '<|im_start|>' + message.role + '\\n' + message.content + '<|im_end|>' + '\\n' }}\n {%- elif message.role == \"assistant\" %}\n {{- '<|im_start|>' + message.role }}\n {%- if message.content %}\n {{- '\\n' + message.content }}\n {%- endif %}\n {%- for tool_call in message.tool_calls %}\n {%- if tool_call.function is defined %}\n {%- set tool_call = tool_call.function %}\n {%- endif %}\n {{- '\\n<tool_call>\\n{\"name\": \"' }}\n {{- tool_call.name }}\n {{- '\", \"arguments\": ' }}\n {{- tool_call.arguments | tojson }}\n {{- '}\\n</tool_call>' }}\n {%- endfor %}\n {{- '<|im_end|>\\n' }}\n {%- elif message.role == \"tool\" %}\n {%- if (loop.index0 == 0) or (messages[loop.index0 - 1].role != \"tool\") %}\n {{- '<|im_start|>user' }}\n {%- endif %}\n {{- '\\n<tool_response>\\n' }}\n {{- message.content }}\n {{- '\\n</tool_response>' }}\n {%- if loop.last or (messages[loop.index0 + 1].role != \"tool\") %}\n {{- '<|im_end|>\\n' }}\n {%- endif %}\n {%- endif %}\n{%- endfor %}\n{%- if add_generation_prompt %}\n {{- '<|im_start|>assistant\\n' }}\n{%- endif %}\n",
199
+ "clean_up_tokenization_spaces": false,
200
+ "eos_token": "<|endoftext|>",
201
+ "errors": "replace",
202
+ "model_max_length": 131072,
203
+ "pad_token": "<|endoftext|>",
204
+ "padding_side": "right",
205
+ "split_special_tokens": false,
206
+ "tokenizer_class": "Qwen2Tokenizer",
207
+ "unk_token": null
208
+ }
trainer_log.jsonl ADDED
@@ -0,0 +1,249 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {"current_steps": 1, "total_steps": 1230, "loss": 1.1255, "lr": 3.2520325203252037e-07, "epoch": 0.004050632911392405, "percentage": 0.08, "elapsed_time": "0:01:33", "remaining_time": "1 day, 7:57:11"}
2
+ {"current_steps": 2, "total_steps": 1230, "loss": 1.1181, "lr": 6.504065040650407e-07, "epoch": 0.00810126582278481, "percentage": 0.16, "elapsed_time": "0:03:11", "remaining_time": "1 day, 8:39:06"}
3
+ {"current_steps": 3, "total_steps": 1230, "loss": 1.1251, "lr": 9.75609756097561e-07, "epoch": 0.012151898734177215, "percentage": 0.24, "elapsed_time": "0:04:44", "remaining_time": "1 day, 8:19:45"}
4
+ {"current_steps": 4, "total_steps": 1230, "loss": 1.1229, "lr": 1.3008130081300815e-06, "epoch": 0.01620253164556962, "percentage": 0.33, "elapsed_time": "0:06:24", "remaining_time": "1 day, 8:45:39"}
5
+ {"current_steps": 5, "total_steps": 1230, "loss": 1.102, "lr": 1.6260162601626018e-06, "epoch": 0.020253164556962026, "percentage": 0.41, "elapsed_time": "0:07:59", "remaining_time": "1 day, 8:38:37"}
6
+ {"current_steps": 6, "total_steps": 1230, "loss": 1.1038, "lr": 1.951219512195122e-06, "epoch": 0.02430379746835443, "percentage": 0.49, "elapsed_time": "0:09:45", "remaining_time": "1 day, 9:09:46"}
7
+ {"current_steps": 7, "total_steps": 1230, "loss": 1.0711, "lr": 2.2764227642276426e-06, "epoch": 0.028354430379746835, "percentage": 0.57, "elapsed_time": "0:11:19", "remaining_time": "1 day, 8:59:21"}
8
+ {"current_steps": 8, "total_steps": 1230, "loss": 1.0623, "lr": 2.601626016260163e-06, "epoch": 0.03240506329113924, "percentage": 0.65, "elapsed_time": "0:12:50", "remaining_time": "1 day, 8:40:31"}
9
+ {"current_steps": 9, "total_steps": 1230, "loss": 1.0087, "lr": 2.926829268292683e-06, "epoch": 0.03645569620253165, "percentage": 0.73, "elapsed_time": "0:14:29", "remaining_time": "1 day, 8:45:57"}
10
+ {"current_steps": 10, "total_steps": 1230, "loss": 1.0141, "lr": 3.2520325203252037e-06, "epoch": 0.04050632911392405, "percentage": 0.81, "elapsed_time": "0:15:56", "remaining_time": "1 day, 8:25:21"}
11
+ {"current_steps": 11, "total_steps": 1230, "loss": 1.0141, "lr": 3.577235772357724e-06, "epoch": 0.044556962025316456, "percentage": 0.89, "elapsed_time": "0:17:31", "remaining_time": "1 day, 8:21:29"}
12
+ {"current_steps": 12, "total_steps": 1230, "loss": 0.9722, "lr": 3.902439024390244e-06, "epoch": 0.04860759493670886, "percentage": 0.98, "elapsed_time": "0:19:10", "remaining_time": "1 day, 8:25:37"}
13
+ {"current_steps": 13, "total_steps": 1230, "loss": 0.9772, "lr": 4.227642276422765e-06, "epoch": 0.052658227848101265, "percentage": 1.06, "elapsed_time": "0:20:42", "remaining_time": "1 day, 8:18:21"}
14
+ {"current_steps": 14, "total_steps": 1230, "loss": 0.9518, "lr": 4.552845528455285e-06, "epoch": 0.05670886075949367, "percentage": 1.14, "elapsed_time": "0:22:20", "remaining_time": "1 day, 8:19:55"}
15
+ {"current_steps": 15, "total_steps": 1230, "loss": 0.9273, "lr": 4.8780487804878055e-06, "epoch": 0.060759493670886074, "percentage": 1.22, "elapsed_time": "0:24:06", "remaining_time": "1 day, 8:32:32"}
16
+ {"current_steps": 16, "total_steps": 1230, "loss": 0.8883, "lr": 5.203252032520326e-06, "epoch": 0.06481012658227848, "percentage": 1.3, "elapsed_time": "0:25:39", "remaining_time": "1 day, 8:27:25"}
17
+ {"current_steps": 17, "total_steps": 1230, "loss": 0.8627, "lr": 5.528455284552846e-06, "epoch": 0.06886075949367089, "percentage": 1.38, "elapsed_time": "0:27:22", "remaining_time": "1 day, 8:33:36"}
18
+ {"current_steps": 18, "total_steps": 1230, "loss": 0.8605, "lr": 5.853658536585366e-06, "epoch": 0.0729113924050633, "percentage": 1.46, "elapsed_time": "0:29:00", "remaining_time": "1 day, 8:33:45"}
19
+ {"current_steps": 19, "total_steps": 1230, "loss": 0.8391, "lr": 6.178861788617887e-06, "epoch": 0.0769620253164557, "percentage": 1.54, "elapsed_time": "0:30:27", "remaining_time": "1 day, 8:21:30"}
20
+ {"current_steps": 20, "total_steps": 1230, "loss": 0.8161, "lr": 6.504065040650407e-06, "epoch": 0.0810126582278481, "percentage": 1.63, "elapsed_time": "0:32:04", "remaining_time": "1 day, 8:20:57"}
21
+ {"current_steps": 21, "total_steps": 1230, "loss": 0.8138, "lr": 6.829268292682928e-06, "epoch": 0.08506329113924051, "percentage": 1.71, "elapsed_time": "0:33:34", "remaining_time": "1 day, 8:12:31"}
22
+ {"current_steps": 22, "total_steps": 1230, "loss": 0.808, "lr": 7.154471544715448e-06, "epoch": 0.08911392405063291, "percentage": 1.79, "elapsed_time": "0:35:13", "remaining_time": "1 day, 8:14:07"}
23
+ {"current_steps": 23, "total_steps": 1230, "loss": 0.7828, "lr": 7.4796747967479676e-06, "epoch": 0.09316455696202532, "percentage": 1.87, "elapsed_time": "0:36:44", "remaining_time": "1 day, 8:08:07"}
24
+ {"current_steps": 24, "total_steps": 1230, "loss": 0.7741, "lr": 7.804878048780489e-06, "epoch": 0.09721518987341772, "percentage": 1.95, "elapsed_time": "0:38:39", "remaining_time": "1 day, 8:22:11"}
25
+ {"current_steps": 25, "total_steps": 1230, "loss": 0.7758, "lr": 8.130081300813009e-06, "epoch": 0.10126582278481013, "percentage": 2.03, "elapsed_time": "0:40:21", "remaining_time": "1 day, 8:25:09"}
26
+ {"current_steps": 26, "total_steps": 1230, "loss": 0.7724, "lr": 8.45528455284553e-06, "epoch": 0.10531645569620253, "percentage": 2.11, "elapsed_time": "0:41:51", "remaining_time": "1 day, 8:18:32"}
27
+ {"current_steps": 27, "total_steps": 1230, "loss": 0.7618, "lr": 8.78048780487805e-06, "epoch": 0.10936708860759493, "percentage": 2.2, "elapsed_time": "0:43:35", "remaining_time": "1 day, 8:22:36"}
28
+ {"current_steps": 28, "total_steps": 1230, "loss": 0.7502, "lr": 9.10569105691057e-06, "epoch": 0.11341772151898734, "percentage": 2.28, "elapsed_time": "0:45:06", "remaining_time": "1 day, 8:16:33"}
29
+ {"current_steps": 29, "total_steps": 1230, "loss": 0.7435, "lr": 9.43089430894309e-06, "epoch": 0.11746835443037974, "percentage": 2.36, "elapsed_time": "0:46:31", "remaining_time": "1 day, 8:06:35"}
30
+ {"current_steps": 30, "total_steps": 1230, "loss": 0.7456, "lr": 9.756097560975611e-06, "epoch": 0.12151898734177215, "percentage": 2.44, "elapsed_time": "0:48:20", "remaining_time": "1 day, 8:13:34"}
31
+ {"current_steps": 31, "total_steps": 1230, "loss": 0.7351, "lr": 1.008130081300813e-05, "epoch": 0.12556962025316457, "percentage": 2.52, "elapsed_time": "0:49:54", "remaining_time": "1 day, 8:10:37"}
32
+ {"current_steps": 32, "total_steps": 1230, "loss": 0.7268, "lr": 1.0406504065040652e-05, "epoch": 0.12962025316455697, "percentage": 2.6, "elapsed_time": "0:51:35", "remaining_time": "1 day, 8:11:42"}
33
+ {"current_steps": 33, "total_steps": 1230, "loss": 0.7218, "lr": 1.0731707317073172e-05, "epoch": 0.13367088607594937, "percentage": 2.68, "elapsed_time": "0:53:14", "remaining_time": "1 day, 8:11:21"}
34
+ {"current_steps": 34, "total_steps": 1230, "loss": 0.7245, "lr": 1.1056910569105692e-05, "epoch": 0.13772151898734178, "percentage": 2.76, "elapsed_time": "0:54:39", "remaining_time": "1 day, 8:02:46"}
35
+ {"current_steps": 35, "total_steps": 1230, "loss": 0.7023, "lr": 1.1382113821138213e-05, "epoch": 0.14177215189873418, "percentage": 2.85, "elapsed_time": "0:56:08", "remaining_time": "1 day, 7:56:34"}
36
+ {"current_steps": 36, "total_steps": 1230, "loss": 0.7058, "lr": 1.1707317073170731e-05, "epoch": 0.1458227848101266, "percentage": 2.93, "elapsed_time": "0:57:46", "remaining_time": "1 day, 7:56:11"}
37
+ {"current_steps": 37, "total_steps": 1230, "loss": 0.7153, "lr": 1.2032520325203254e-05, "epoch": 0.149873417721519, "percentage": 3.01, "elapsed_time": "0:59:37", "remaining_time": "1 day, 8:02:15"}
38
+ {"current_steps": 38, "total_steps": 1230, "loss": 0.6993, "lr": 1.2357723577235774e-05, "epoch": 0.1539240506329114, "percentage": 3.09, "elapsed_time": "1:01:17", "remaining_time": "1 day, 8:02:47"}
39
+ {"current_steps": 39, "total_steps": 1230, "loss": 0.696, "lr": 1.2682926829268294e-05, "epoch": 0.1579746835443038, "percentage": 3.17, "elapsed_time": "1:02:50", "remaining_time": "1 day, 7:58:57"}
40
+ {"current_steps": 40, "total_steps": 1230, "loss": 0.6956, "lr": 1.3008130081300815e-05, "epoch": 0.1620253164556962, "percentage": 3.25, "elapsed_time": "1:04:23", "remaining_time": "1 day, 7:55:48"}
41
+ {"current_steps": 41, "total_steps": 1230, "loss": 0.698, "lr": 1.3333333333333333e-05, "epoch": 0.1660759493670886, "percentage": 3.33, "elapsed_time": "1:05:47", "remaining_time": "1 day, 7:47:52"}
42
+ {"current_steps": 42, "total_steps": 1230, "loss": 0.6998, "lr": 1.3658536585365855e-05, "epoch": 0.17012658227848101, "percentage": 3.41, "elapsed_time": "1:07:22", "remaining_time": "1 day, 7:45:46"}
43
+ {"current_steps": 43, "total_steps": 1230, "loss": 0.6879, "lr": 1.3983739837398376e-05, "epoch": 0.17417721518987342, "percentage": 3.5, "elapsed_time": "1:08:59", "remaining_time": "1 day, 7:44:24"}
44
+ {"current_steps": 44, "total_steps": 1230, "loss": 0.6846, "lr": 1.4308943089430896e-05, "epoch": 0.17822784810126582, "percentage": 3.58, "elapsed_time": "1:10:37", "remaining_time": "1 day, 7:43:49"}
45
+ {"current_steps": 45, "total_steps": 1230, "loss": 0.6764, "lr": 1.4634146341463415e-05, "epoch": 0.18227848101265823, "percentage": 3.66, "elapsed_time": "1:12:25", "remaining_time": "1 day, 7:47:02"}
46
+ {"current_steps": 46, "total_steps": 1230, "loss": 0.6791, "lr": 1.4959349593495935e-05, "epoch": 0.18632911392405063, "percentage": 3.74, "elapsed_time": "1:14:08", "remaining_time": "1 day, 7:48:32"}
47
+ {"current_steps": 47, "total_steps": 1230, "loss": 0.6887, "lr": 1.528455284552846e-05, "epoch": 0.19037974683544304, "percentage": 3.82, "elapsed_time": "1:16:03", "remaining_time": "1 day, 7:54:34"}
48
+ {"current_steps": 48, "total_steps": 1230, "loss": 0.6942, "lr": 1.5609756097560978e-05, "epoch": 0.19443037974683544, "percentage": 3.9, "elapsed_time": "1:17:31", "remaining_time": "1 day, 7:49:05"}
49
+ {"current_steps": 49, "total_steps": 1230, "loss": 0.6744, "lr": 1.5934959349593496e-05, "epoch": 0.19848101265822785, "percentage": 3.98, "elapsed_time": "1:19:02", "remaining_time": "1 day, 7:45:00"}
50
+ {"current_steps": 50, "total_steps": 1230, "loss": 0.6699, "lr": 1.6260162601626018e-05, "epoch": 0.20253164556962025, "percentage": 4.07, "elapsed_time": "1:20:36", "remaining_time": "1 day, 7:42:25"}
51
+ {"current_steps": 51, "total_steps": 1230, "loss": 0.6771, "lr": 1.6585365853658537e-05, "epoch": 0.20658227848101265, "percentage": 4.15, "elapsed_time": "1:22:02", "remaining_time": "1 day, 7:36:27"}
52
+ {"current_steps": 52, "total_steps": 1230, "loss": 0.6726, "lr": 1.691056910569106e-05, "epoch": 0.21063291139240506, "percentage": 4.23, "elapsed_time": "1:23:47", "remaining_time": "1 day, 7:38:04"}
53
+ {"current_steps": 53, "total_steps": 1230, "loss": 0.6703, "lr": 1.7235772357723578e-05, "epoch": 0.21468354430379746, "percentage": 4.31, "elapsed_time": "1:25:09", "remaining_time": "1 day, 7:31:05"}
54
+ {"current_steps": 54, "total_steps": 1230, "loss": 0.6685, "lr": 1.75609756097561e-05, "epoch": 0.21873417721518987, "percentage": 4.39, "elapsed_time": "1:26:47", "remaining_time": "1 day, 7:30:01"}
55
+ {"current_steps": 55, "total_steps": 1230, "loss": 0.6664, "lr": 1.788617886178862e-05, "epoch": 0.22278481012658227, "percentage": 4.47, "elapsed_time": "1:28:31", "remaining_time": "1 day, 7:31:12"}
56
+ {"current_steps": 56, "total_steps": 1230, "loss": 0.6635, "lr": 1.821138211382114e-05, "epoch": 0.22683544303797468, "percentage": 4.55, "elapsed_time": "1:30:23", "remaining_time": "1 day, 7:35:00"}
57
+ {"current_steps": 57, "total_steps": 1230, "loss": 0.6659, "lr": 1.8536585365853663e-05, "epoch": 0.23088607594936708, "percentage": 4.63, "elapsed_time": "1:31:46", "remaining_time": "1 day, 7:28:38"}
58
+ {"current_steps": 58, "total_steps": 1230, "loss": 0.6632, "lr": 1.886178861788618e-05, "epoch": 0.23493670886075949, "percentage": 4.72, "elapsed_time": "1:33:18", "remaining_time": "1 day, 7:25:31"}
59
+ {"current_steps": 59, "total_steps": 1230, "loss": 0.652, "lr": 1.91869918699187e-05, "epoch": 0.2389873417721519, "percentage": 4.8, "elapsed_time": "1:35:01", "remaining_time": "1 day, 7:25:56"}
60
+ {"current_steps": 60, "total_steps": 1230, "loss": 0.6561, "lr": 1.9512195121951222e-05, "epoch": 0.2430379746835443, "percentage": 4.88, "elapsed_time": "1:36:47", "remaining_time": "1 day, 7:27:22"}
61
+ {"current_steps": 61, "total_steps": 1230, "loss": 0.657, "lr": 1.983739837398374e-05, "epoch": 0.2470886075949367, "percentage": 4.96, "elapsed_time": "1:38:26", "remaining_time": "1 day, 7:26:38"}
62
+ {"current_steps": 62, "total_steps": 1230, "loss": 0.6546, "lr": 2.016260162601626e-05, "epoch": 0.25113924050632913, "percentage": 5.04, "elapsed_time": "1:39:52", "remaining_time": "1 day, 7:21:25"}
63
+ {"current_steps": 63, "total_steps": 1230, "loss": 0.6499, "lr": 2.048780487804878e-05, "epoch": 0.25518987341772154, "percentage": 5.12, "elapsed_time": "1:41:26", "remaining_time": "1 day, 7:18:57"}
64
+ {"current_steps": 64, "total_steps": 1230, "loss": 0.6653, "lr": 2.0813008130081303e-05, "epoch": 0.25924050632911394, "percentage": 5.2, "elapsed_time": "1:43:16", "remaining_time": "1 day, 7:21:33"}
65
+ {"current_steps": 65, "total_steps": 1230, "loss": 0.6451, "lr": 2.1138211382113822e-05, "epoch": 0.26329113924050634, "percentage": 5.28, "elapsed_time": "1:44:43", "remaining_time": "1 day, 7:16:56"}
66
+ {"current_steps": 66, "total_steps": 1230, "loss": 0.6621, "lr": 2.1463414634146344e-05, "epoch": 0.26734177215189875, "percentage": 5.37, "elapsed_time": "1:46:10", "remaining_time": "1 day, 7:12:36"}
67
+ {"current_steps": 67, "total_steps": 1230, "loss": 0.6524, "lr": 2.1788617886178863e-05, "epoch": 0.27139240506329115, "percentage": 5.45, "elapsed_time": "1:47:49", "remaining_time": "1 day, 7:11:36"}
68
+ {"current_steps": 68, "total_steps": 1230, "loss": 0.657, "lr": 2.2113821138211385e-05, "epoch": 0.27544303797468356, "percentage": 5.53, "elapsed_time": "1:49:34", "remaining_time": "1 day, 7:12:32"}
69
+ {"current_steps": 69, "total_steps": 1230, "loss": 0.6432, "lr": 2.2439024390243907e-05, "epoch": 0.27949367088607596, "percentage": 5.61, "elapsed_time": "1:51:16", "remaining_time": "1 day, 7:12:16"}
70
+ {"current_steps": 70, "total_steps": 1230, "loss": 0.6534, "lr": 2.2764227642276426e-05, "epoch": 0.28354430379746837, "percentage": 5.69, "elapsed_time": "1:52:53", "remaining_time": "1 day, 7:10:46"}
71
+ {"current_steps": 71, "total_steps": 1230, "loss": 0.6652, "lr": 2.3089430894308948e-05, "epoch": 0.28759493670886077, "percentage": 5.77, "elapsed_time": "1:54:43", "remaining_time": "1 day, 7:12:38"}
72
+ {"current_steps": 72, "total_steps": 1230, "loss": 0.6428, "lr": 2.3414634146341463e-05, "epoch": 0.2916455696202532, "percentage": 5.85, "elapsed_time": "1:56:24", "remaining_time": "1 day, 7:12:08"}
73
+ {"current_steps": 73, "total_steps": 1230, "loss": 0.6337, "lr": 2.3739837398373985e-05, "epoch": 0.2956962025316456, "percentage": 5.93, "elapsed_time": "1:58:09", "remaining_time": "1 day, 7:12:40"}
74
+ {"current_steps": 74, "total_steps": 1230, "loss": 0.6438, "lr": 2.4065040650406507e-05, "epoch": 0.299746835443038, "percentage": 6.02, "elapsed_time": "1:59:38", "remaining_time": "1 day, 7:09:06"}
75
+ {"current_steps": 75, "total_steps": 1230, "loss": 0.6426, "lr": 2.4390243902439026e-05, "epoch": 0.3037974683544304, "percentage": 6.1, "elapsed_time": "2:01:18", "remaining_time": "1 day, 7:08:05"}
76
+ {"current_steps": 76, "total_steps": 1230, "loss": 0.6489, "lr": 2.4715447154471548e-05, "epoch": 0.3078481012658228, "percentage": 6.18, "elapsed_time": "2:02:58", "remaining_time": "1 day, 7:07:23"}
77
+ {"current_steps": 77, "total_steps": 1230, "loss": 0.6535, "lr": 2.5040650406504066e-05, "epoch": 0.3118987341772152, "percentage": 6.26, "elapsed_time": "2:04:26", "remaining_time": "1 day, 7:03:28"}
78
+ {"current_steps": 78, "total_steps": 1230, "loss": 0.6515, "lr": 2.536585365853659e-05, "epoch": 0.3159493670886076, "percentage": 6.34, "elapsed_time": "2:06:16", "remaining_time": "1 day, 7:04:58"}
79
+ {"current_steps": 79, "total_steps": 1230, "loss": 0.6461, "lr": 2.569105691056911e-05, "epoch": 0.32, "percentage": 6.42, "elapsed_time": "2:07:43", "remaining_time": "1 day, 7:00:52"}
80
+ {"current_steps": 80, "total_steps": 1230, "loss": 0.633, "lr": 2.601626016260163e-05, "epoch": 0.3240506329113924, "percentage": 6.5, "elapsed_time": "2:09:11", "remaining_time": "1 day, 6:57:04"}
81
+ {"current_steps": 81, "total_steps": 1230, "loss": 0.6495, "lr": 2.634146341463415e-05, "epoch": 0.3281012658227848, "percentage": 6.59, "elapsed_time": "2:11:07", "remaining_time": "1 day, 7:00:02"}
82
+ {"current_steps": 82, "total_steps": 1230, "loss": 0.6598, "lr": 2.6666666666666667e-05, "epoch": 0.3321518987341772, "percentage": 6.67, "elapsed_time": "2:12:53", "remaining_time": "1 day, 7:00:31"}
83
+ {"current_steps": 83, "total_steps": 1230, "loss": 0.6379, "lr": 2.699186991869919e-05, "epoch": 0.3362025316455696, "percentage": 6.75, "elapsed_time": "2:14:36", "remaining_time": "1 day, 7:00:16"}
84
+ {"current_steps": 84, "total_steps": 1230, "loss": 0.6346, "lr": 2.731707317073171e-05, "epoch": 0.34025316455696203, "percentage": 6.83, "elapsed_time": "2:16:12", "remaining_time": "1 day, 6:58:11"}
85
+ {"current_steps": 85, "total_steps": 1230, "loss": 0.6389, "lr": 2.764227642276423e-05, "epoch": 0.34430379746835443, "percentage": 6.91, "elapsed_time": "2:17:40", "remaining_time": "1 day, 6:54:27"}
86
+ {"current_steps": 86, "total_steps": 1230, "loss": 0.635, "lr": 2.796747967479675e-05, "epoch": 0.34835443037974684, "percentage": 6.99, "elapsed_time": "2:19:20", "remaining_time": "1 day, 6:53:35"}
87
+ {"current_steps": 87, "total_steps": 1230, "loss": 0.6475, "lr": 2.829268292682927e-05, "epoch": 0.35240506329113924, "percentage": 7.07, "elapsed_time": "2:21:04", "remaining_time": "1 day, 6:53:27"}
88
+ {"current_steps": 88, "total_steps": 1230, "loss": 0.6434, "lr": 2.8617886178861792e-05, "epoch": 0.35645569620253165, "percentage": 7.15, "elapsed_time": "2:22:47", "remaining_time": "1 day, 6:53:06"}
89
+ {"current_steps": 89, "total_steps": 1230, "loss": 0.6243, "lr": 2.8943089430894314e-05, "epoch": 0.36050632911392405, "percentage": 7.24, "elapsed_time": "2:24:28", "remaining_time": "1 day, 6:52:08"}
90
+ {"current_steps": 90, "total_steps": 1230, "loss": 0.6404, "lr": 2.926829268292683e-05, "epoch": 0.36455696202531646, "percentage": 7.32, "elapsed_time": "2:26:12", "remaining_time": "1 day, 6:51:56"}
91
+ {"current_steps": 91, "total_steps": 1230, "loss": 0.6386, "lr": 2.959349593495935e-05, "epoch": 0.36860759493670886, "percentage": 7.4, "elapsed_time": "2:27:44", "remaining_time": "1 day, 6:49:12"}
92
+ {"current_steps": 92, "total_steps": 1230, "loss": 0.6507, "lr": 2.991869918699187e-05, "epoch": 0.37265822784810126, "percentage": 7.48, "elapsed_time": "2:29:19", "remaining_time": "1 day, 6:47:10"}
93
+ {"current_steps": 93, "total_steps": 1230, "loss": 0.6455, "lr": 3.0243902439024392e-05, "epoch": 0.37670886075949367, "percentage": 7.56, "elapsed_time": "2:30:54", "remaining_time": "1 day, 6:44:56"}
94
+ {"current_steps": 94, "total_steps": 1230, "loss": 0.6307, "lr": 3.056910569105692e-05, "epoch": 0.3807594936708861, "percentage": 7.64, "elapsed_time": "2:32:18", "remaining_time": "1 day, 6:40:37"}
95
+ {"current_steps": 95, "total_steps": 1230, "loss": 0.635, "lr": 3.089430894308943e-05, "epoch": 0.3848101265822785, "percentage": 7.72, "elapsed_time": "2:33:52", "remaining_time": "1 day, 6:38:27"}
96
+ {"current_steps": 96, "total_steps": 1230, "loss": 0.6478, "lr": 3.1219512195121955e-05, "epoch": 0.3888607594936709, "percentage": 7.8, "elapsed_time": "2:35:22", "remaining_time": "1 day, 6:35:21"}
97
+ {"current_steps": 97, "total_steps": 1230, "loss": 0.6472, "lr": 3.154471544715447e-05, "epoch": 0.3929113924050633, "percentage": 7.89, "elapsed_time": "2:37:16", "remaining_time": "1 day, 6:36:59"}
98
+ {"current_steps": 98, "total_steps": 1230, "loss": 0.6373, "lr": 3.186991869918699e-05, "epoch": 0.3969620253164557, "percentage": 7.97, "elapsed_time": "2:38:58", "remaining_time": "1 day, 6:36:18"}
99
+ {"current_steps": 99, "total_steps": 1230, "loss": 0.6414, "lr": 3.2195121951219514e-05, "epoch": 0.4010126582278481, "percentage": 8.05, "elapsed_time": "2:40:35", "remaining_time": "1 day, 6:34:40"}
100
+ {"current_steps": 100, "total_steps": 1230, "loss": 0.6289, "lr": 3.2520325203252037e-05, "epoch": 0.4050632911392405, "percentage": 8.13, "elapsed_time": "2:42:11", "remaining_time": "1 day, 6:32:41"}
101
+ {"current_steps": 101, "total_steps": 1230, "loss": 0.6398, "lr": 3.284552845528456e-05, "epoch": 0.4091139240506329, "percentage": 8.21, "elapsed_time": "2:43:45", "remaining_time": "1 day, 6:30:36"}
102
+ {"current_steps": 102, "total_steps": 1230, "loss": 0.6462, "lr": 3.3170731707317074e-05, "epoch": 0.4131645569620253, "percentage": 8.29, "elapsed_time": "2:45:26", "remaining_time": "1 day, 6:29:32"}
103
+ {"current_steps": 103, "total_steps": 1230, "loss": 0.631, "lr": 3.3495934959349596e-05, "epoch": 0.4172151898734177, "percentage": 8.37, "elapsed_time": "2:46:55", "remaining_time": "1 day, 6:26:21"}
104
+ {"current_steps": 104, "total_steps": 1230, "loss": 0.6428, "lr": 3.382113821138212e-05, "epoch": 0.4212658227848101, "percentage": 8.46, "elapsed_time": "2:48:41", "remaining_time": "1 day, 6:26:26"}
105
+ {"current_steps": 105, "total_steps": 1230, "loss": 0.6275, "lr": 3.414634146341463e-05, "epoch": 0.4253164556962025, "percentage": 8.54, "elapsed_time": "2:50:32", "remaining_time": "1 day, 6:27:09"}
106
+ {"current_steps": 106, "total_steps": 1230, "loss": 0.6434, "lr": 3.4471544715447155e-05, "epoch": 0.4293670886075949, "percentage": 8.62, "elapsed_time": "2:52:06", "remaining_time": "1 day, 6:25:02"}
107
+ {"current_steps": 107, "total_steps": 1230, "loss": 0.6305, "lr": 3.479674796747968e-05, "epoch": 0.43341772151898733, "percentage": 8.7, "elapsed_time": "2:53:51", "remaining_time": "1 day, 6:24:46"}
108
+ {"current_steps": 108, "total_steps": 1230, "loss": 0.6278, "lr": 3.51219512195122e-05, "epoch": 0.43746835443037974, "percentage": 8.78, "elapsed_time": "2:55:29", "remaining_time": "1 day, 6:23:11"}
109
+ {"current_steps": 109, "total_steps": 1230, "loss": 0.6318, "lr": 3.544715447154472e-05, "epoch": 0.44151898734177214, "percentage": 8.86, "elapsed_time": "2:57:00", "remaining_time": "1 day, 6:20:21"}
110
+ {"current_steps": 110, "total_steps": 1230, "loss": 0.6257, "lr": 3.577235772357724e-05, "epoch": 0.44556962025316454, "percentage": 8.94, "elapsed_time": "2:58:33", "remaining_time": "1 day, 6:18:02"}
111
+ {"current_steps": 111, "total_steps": 1230, "loss": 0.6249, "lr": 3.609756097560976e-05, "epoch": 0.44962025316455695, "percentage": 9.02, "elapsed_time": "3:00:17", "remaining_time": "1 day, 6:17:29"}
112
+ {"current_steps": 112, "total_steps": 1230, "loss": 0.6236, "lr": 3.642276422764228e-05, "epoch": 0.45367088607594935, "percentage": 9.11, "elapsed_time": "3:01:44", "remaining_time": "1 day, 6:14:07"}
113
+ {"current_steps": 113, "total_steps": 1230, "loss": 0.6223, "lr": 3.67479674796748e-05, "epoch": 0.45772151898734176, "percentage": 9.19, "elapsed_time": "3:03:17", "remaining_time": "1 day, 6:11:54"}
114
+ {"current_steps": 114, "total_steps": 1230, "loss": 0.62, "lr": 3.7073170731707325e-05, "epoch": 0.46177215189873416, "percentage": 9.27, "elapsed_time": "3:04:56", "remaining_time": "1 day, 6:10:30"}
115
+ {"current_steps": 115, "total_steps": 1230, "loss": 0.6262, "lr": 3.739837398373984e-05, "epoch": 0.46582278481012657, "percentage": 9.35, "elapsed_time": "3:06:32", "remaining_time": "1 day, 6:08:38"}
116
+ {"current_steps": 116, "total_steps": 1230, "loss": 0.6254, "lr": 3.772357723577236e-05, "epoch": 0.46987341772151897, "percentage": 9.43, "elapsed_time": "3:08:13", "remaining_time": "1 day, 6:07:34"}
117
+ {"current_steps": 117, "total_steps": 1230, "loss": 0.6181, "lr": 3.804878048780488e-05, "epoch": 0.4739240506329114, "percentage": 9.51, "elapsed_time": "3:09:52", "remaining_time": "1 day, 6:06:12"}
118
+ {"current_steps": 118, "total_steps": 1230, "loss": 0.6198, "lr": 3.83739837398374e-05, "epoch": 0.4779746835443038, "percentage": 9.59, "elapsed_time": "3:11:29", "remaining_time": "1 day, 6:04:30"}
119
+ {"current_steps": 119, "total_steps": 1230, "loss": 0.6277, "lr": 3.869918699186992e-05, "epoch": 0.4820253164556962, "percentage": 9.67, "elapsed_time": "3:13:09", "remaining_time": "1 day, 6:03:25"}
120
+ {"current_steps": 120, "total_steps": 1230, "loss": 0.6191, "lr": 3.9024390243902444e-05, "epoch": 0.4860759493670886, "percentage": 9.76, "elapsed_time": "3:14:48", "remaining_time": "1 day, 6:01:55"}
121
+ {"current_steps": 121, "total_steps": 1230, "loss": 0.6357, "lr": 3.9349593495934966e-05, "epoch": 0.490126582278481, "percentage": 9.84, "elapsed_time": "3:16:31", "remaining_time": "1 day, 6:01:13"}
122
+ {"current_steps": 122, "total_steps": 1230, "loss": 0.6225, "lr": 3.967479674796748e-05, "epoch": 0.4941772151898734, "percentage": 9.92, "elapsed_time": "3:18:12", "remaining_time": "1 day, 6:00:10"}
123
+ {"current_steps": 123, "total_steps": 1230, "loss": 0.6249, "lr": 4e-05, "epoch": 0.4982278481012658, "percentage": 10.0, "elapsed_time": "3:19:58", "remaining_time": "1 day, 5:59:42"}
124
+ {"current_steps": 124, "total_steps": 1230, "loss": 0.6133, "lr": 3.999991946137476e-05, "epoch": 0.5022784810126583, "percentage": 10.08, "elapsed_time": "3:21:48", "remaining_time": "1 day, 6:00:03"}
125
+ {"current_steps": 125, "total_steps": 1230, "loss": 0.6305, "lr": 3.999967784614766e-05, "epoch": 0.5063291139240507, "percentage": 10.16, "elapsed_time": "3:23:23", "remaining_time": "1 day, 5:57:57"}
126
+ {"current_steps": 126, "total_steps": 1230, "loss": 0.6205, "lr": 3.9999275156264656e-05, "epoch": 0.5103797468354431, "percentage": 10.24, "elapsed_time": "3:24:42", "remaining_time": "1 day, 5:53:37"}
127
+ {"current_steps": 127, "total_steps": 1230, "loss": 0.6188, "lr": 3.999871139496895e-05, "epoch": 0.5144303797468355, "percentage": 10.33, "elapsed_time": "3:26:17", "remaining_time": "1 day, 5:51:37"}
128
+ {"current_steps": 128, "total_steps": 1230, "loss": 0.6238, "lr": 3.9997986566800995e-05, "epoch": 0.5184810126582279, "percentage": 10.41, "elapsed_time": "3:27:57", "remaining_time": "1 day, 5:50:19"}
129
+ {"current_steps": 129, "total_steps": 1230, "loss": 0.62, "lr": 3.999710067759846e-05, "epoch": 0.5225316455696203, "percentage": 10.49, "elapsed_time": "3:29:36", "remaining_time": "1 day, 5:48:55"}
130
+ {"current_steps": 130, "total_steps": 1230, "loss": 0.6346, "lr": 3.999605373449617e-05, "epoch": 0.5265822784810127, "percentage": 10.57, "elapsed_time": "3:31:24", "remaining_time": "1 day, 5:48:48"}
131
+ {"current_steps": 131, "total_steps": 1230, "loss": 0.6217, "lr": 3.9994845745926075e-05, "epoch": 0.5306329113924051, "percentage": 10.65, "elapsed_time": "3:33:10", "remaining_time": "1 day, 5:48:23"}
132
+ {"current_steps": 132, "total_steps": 1230, "loss": 0.6277, "lr": 3.999347672161713e-05, "epoch": 0.5346835443037975, "percentage": 10.73, "elapsed_time": "3:34:37", "remaining_time": "1 day, 5:45:20"}
133
+ {"current_steps": 133, "total_steps": 1230, "loss": 0.6185, "lr": 3.999194667259528e-05, "epoch": 0.5387341772151899, "percentage": 10.81, "elapsed_time": "3:36:00", "remaining_time": "1 day, 5:41:41"}
134
+ {"current_steps": 134, "total_steps": 1230, "loss": 0.6308, "lr": 3.999025561118334e-05, "epoch": 0.5427848101265823, "percentage": 10.89, "elapsed_time": "3:37:58", "remaining_time": "1 day, 5:42:50"}
135
+ {"current_steps": 135, "total_steps": 1230, "loss": 0.6242, "lr": 3.998840355100086e-05, "epoch": 0.5468354430379747, "percentage": 10.98, "elapsed_time": "3:39:38", "remaining_time": "1 day, 5:41:30"}
136
+ {"current_steps": 136, "total_steps": 1230, "loss": 0.6354, "lr": 3.998639050696409e-05, "epoch": 0.5508860759493671, "percentage": 11.06, "elapsed_time": "3:41:09", "remaining_time": "1 day, 5:39:03"}
137
+ {"current_steps": 137, "total_steps": 1230, "loss": 0.6291, "lr": 3.998421649528582e-05, "epoch": 0.5549367088607595, "percentage": 11.14, "elapsed_time": "3:42:41", "remaining_time": "1 day, 5:36:38"}
138
+ {"current_steps": 138, "total_steps": 1230, "loss": 0.6148, "lr": 3.9981881533475234e-05, "epoch": 0.5589873417721519, "percentage": 11.22, "elapsed_time": "3:44:24", "remaining_time": "1 day, 5:35:44"}
139
+ {"current_steps": 139, "total_steps": 1230, "loss": 0.6229, "lr": 3.997938564033779e-05, "epoch": 0.5630379746835443, "percentage": 11.3, "elapsed_time": "3:46:13", "remaining_time": "1 day, 5:35:39"}
140
+ {"current_steps": 140, "total_steps": 1230, "loss": 0.6106, "lr": 3.9976728835975064e-05, "epoch": 0.5670886075949367, "percentage": 11.38, "elapsed_time": "3:47:44", "remaining_time": "1 day, 5:33:06"}
141
+ {"current_steps": 141, "total_steps": 1230, "loss": 0.6098, "lr": 3.9973911141784605e-05, "epoch": 0.5711392405063291, "percentage": 11.46, "elapsed_time": "3:49:19", "remaining_time": "1 day, 5:31:08"}
142
+ {"current_steps": 142, "total_steps": 1230, "loss": 0.6124, "lr": 3.997093258045973e-05, "epoch": 0.5751898734177215, "percentage": 11.54, "elapsed_time": "3:50:56", "remaining_time": "1 day, 5:29:27"}
143
+ {"current_steps": 143, "total_steps": 1230, "loss": 0.6204, "lr": 3.996779317598936e-05, "epoch": 0.579240506329114, "percentage": 11.63, "elapsed_time": "3:52:32", "remaining_time": "1 day, 5:27:41"}
144
+ {"current_steps": 144, "total_steps": 1230, "loss": 0.621, "lr": 3.996449295365782e-05, "epoch": 0.5832911392405064, "percentage": 11.71, "elapsed_time": "3:54:07", "remaining_time": "1 day, 5:25:39"}
145
+ {"current_steps": 145, "total_steps": 1230, "loss": 0.6296, "lr": 3.996103194004467e-05, "epoch": 0.5873417721518988, "percentage": 11.79, "elapsed_time": "3:55:48", "remaining_time": "1 day, 5:24:31"}
146
+ {"current_steps": 146, "total_steps": 1230, "loss": 0.6309, "lr": 3.995741016302441e-05, "epoch": 0.5913924050632912, "percentage": 11.87, "elapsed_time": "3:57:32", "remaining_time": "1 day, 5:23:40"}
147
+ {"current_steps": 147, "total_steps": 1230, "loss": 0.6094, "lr": 3.9953627651766364e-05, "epoch": 0.5954430379746836, "percentage": 11.95, "elapsed_time": "3:59:00", "remaining_time": "1 day, 5:20:48"}
148
+ {"current_steps": 148, "total_steps": 1230, "loss": 0.614, "lr": 3.9949684436734325e-05, "epoch": 0.599493670886076, "percentage": 12.03, "elapsed_time": "4:00:25", "remaining_time": "1 day, 5:17:42"}
149
+ {"current_steps": 149, "total_steps": 1230, "loss": 0.6238, "lr": 3.994558054968643e-05, "epoch": 0.6035443037974684, "percentage": 12.11, "elapsed_time": "4:02:03", "remaining_time": "1 day, 5:16:08"}
150
+ {"current_steps": 150, "total_steps": 1230, "loss": 0.6197, "lr": 3.994131602367481e-05, "epoch": 0.6075949367088608, "percentage": 12.2, "elapsed_time": "4:03:43", "remaining_time": "1 day, 5:14:48"}
151
+ {"current_steps": 151, "total_steps": 1230, "loss": 0.6057, "lr": 3.9936890893045376e-05, "epoch": 0.6116455696202532, "percentage": 12.28, "elapsed_time": "4:05:23", "remaining_time": "1 day, 5:13:30"}
152
+ {"current_steps": 152, "total_steps": 1230, "loss": 0.6181, "lr": 3.993230519343752e-05, "epoch": 0.6156962025316456, "percentage": 12.36, "elapsed_time": "4:06:59", "remaining_time": "1 day, 5:11:38"}
153
+ {"current_steps": 153, "total_steps": 1230, "loss": 0.6173, "lr": 3.992755896178383e-05, "epoch": 0.619746835443038, "percentage": 12.44, "elapsed_time": "4:08:43", "remaining_time": "1 day, 5:10:52"}
154
+ {"current_steps": 154, "total_steps": 1230, "loss": 0.6313, "lr": 3.992265223630981e-05, "epoch": 0.6237974683544304, "percentage": 12.52, "elapsed_time": "4:10:22", "remaining_time": "1 day, 5:09:19"}
155
+ {"current_steps": 155, "total_steps": 1230, "loss": 0.6189, "lr": 3.991758505653355e-05, "epoch": 0.6278481012658228, "percentage": 12.6, "elapsed_time": "4:12:01", "remaining_time": "1 day, 5:07:52"}
156
+ {"current_steps": 156, "total_steps": 1230, "loss": 0.6244, "lr": 3.991235746326543e-05, "epoch": 0.6318987341772152, "percentage": 12.68, "elapsed_time": "4:13:44", "remaining_time": "1 day, 5:06:54"}
157
+ {"current_steps": 157, "total_steps": 1230, "loss": 0.6137, "lr": 3.9906969498607745e-05, "epoch": 0.6359493670886076, "percentage": 12.76, "elapsed_time": "4:15:29", "remaining_time": "1 day, 5:06:05"}
158
+ {"current_steps": 158, "total_steps": 1230, "loss": 0.6257, "lr": 3.990142120595444e-05, "epoch": 0.64, "percentage": 12.85, "elapsed_time": "4:17:10", "remaining_time": "1 day, 5:04:51"}
159
+ {"current_steps": 159, "total_steps": 1230, "loss": 0.6085, "lr": 3.98957126299907e-05, "epoch": 0.6440506329113924, "percentage": 12.93, "elapsed_time": "4:18:40", "remaining_time": "1 day, 5:02:24"}
160
+ {"current_steps": 160, "total_steps": 1230, "loss": 0.6183, "lr": 3.9889843816692596e-05, "epoch": 0.6481012658227848, "percentage": 13.01, "elapsed_time": "4:20:05", "remaining_time": "1 day, 4:59:24"}
161
+ {"current_steps": 161, "total_steps": 1230, "loss": 0.607, "lr": 3.9883814813326766e-05, "epoch": 0.6521518987341772, "percentage": 13.09, "elapsed_time": "4:21:41", "remaining_time": "1 day, 4:57:35"}
162
+ {"current_steps": 162, "total_steps": 1230, "loss": 0.6257, "lr": 3.9877625668449956e-05, "epoch": 0.6562025316455696, "percentage": 13.17, "elapsed_time": "4:23:41", "remaining_time": "1 day, 4:58:21"}
163
+ {"current_steps": 163, "total_steps": 1230, "loss": 0.6255, "lr": 3.98712764319087e-05, "epoch": 0.660253164556962, "percentage": 13.25, "elapsed_time": "4:25:17", "remaining_time": "1 day, 4:56:36"}
164
+ {"current_steps": 164, "total_steps": 1230, "loss": 0.6216, "lr": 3.9864767154838864e-05, "epoch": 0.6643037974683544, "percentage": 13.33, "elapsed_time": "4:26:58", "remaining_time": "1 day, 4:55:18"}
165
+ {"current_steps": 165, "total_steps": 1230, "loss": 0.6144, "lr": 3.9858097889665277e-05, "epoch": 0.6683544303797468, "percentage": 13.41, "elapsed_time": "4:28:26", "remaining_time": "1 day, 4:52:39"}
166
+ {"current_steps": 166, "total_steps": 1230, "loss": 0.6243, "lr": 3.985126869010129e-05, "epoch": 0.6724050632911392, "percentage": 13.5, "elapsed_time": "4:30:11", "remaining_time": "1 day, 4:51:50"}
167
+ {"current_steps": 167, "total_steps": 1230, "loss": 0.6078, "lr": 3.984427961114833e-05, "epoch": 0.6764556962025317, "percentage": 13.58, "elapsed_time": "4:31:44", "remaining_time": "1 day, 4:49:43"}
168
+ {"current_steps": 168, "total_steps": 1230, "loss": 0.6122, "lr": 3.9837130709095475e-05, "epoch": 0.6805063291139241, "percentage": 13.66, "elapsed_time": "4:33:05", "remaining_time": "1 day, 4:46:17"}
169
+ {"current_steps": 169, "total_steps": 1230, "loss": 0.6178, "lr": 3.982982204151901e-05, "epoch": 0.6845569620253165, "percentage": 13.74, "elapsed_time": "4:34:51", "remaining_time": "1 day, 4:45:38"}
170
+ {"current_steps": 170, "total_steps": 1230, "loss": 0.6201, "lr": 3.982235366728193e-05, "epoch": 0.6886075949367089, "percentage": 13.82, "elapsed_time": "4:36:42", "remaining_time": "1 day, 4:45:21"}
171
+ {"current_steps": 171, "total_steps": 1230, "loss": 0.6225, "lr": 3.9814725646533505e-05, "epoch": 0.6926582278481013, "percentage": 13.9, "elapsed_time": "4:38:24", "remaining_time": "1 day, 4:44:13"}
172
+ {"current_steps": 172, "total_steps": 1230, "loss": 0.604, "lr": 3.9806938040708746e-05, "epoch": 0.6967088607594937, "percentage": 13.98, "elapsed_time": "4:39:58", "remaining_time": "1 day, 4:42:12"}
173
+ {"current_steps": 173, "total_steps": 1230, "loss": 0.6014, "lr": 3.9798990912527976e-05, "epoch": 0.7007594936708861, "percentage": 14.07, "elapsed_time": "4:41:30", "remaining_time": "1 day, 4:39:56"}
174
+ {"current_steps": 174, "total_steps": 1230, "loss": 0.6224, "lr": 3.979088432599627e-05, "epoch": 0.7048101265822785, "percentage": 14.15, "elapsed_time": "4:43:18", "remaining_time": "1 day, 4:39:24"}
175
+ {"current_steps": 175, "total_steps": 1230, "loss": 0.6093, "lr": 3.9782618346402964e-05, "epoch": 0.7088607594936709, "percentage": 14.23, "elapsed_time": "4:45:08", "remaining_time": "1 day, 4:39:02"}
176
+ {"current_steps": 176, "total_steps": 1230, "loss": 0.6101, "lr": 3.977419304032111e-05, "epoch": 0.7129113924050633, "percentage": 14.31, "elapsed_time": "4:46:39", "remaining_time": "1 day, 4:36:41"}
177
+ {"current_steps": 177, "total_steps": 1230, "loss": 0.6172, "lr": 3.976560847560697e-05, "epoch": 0.7169620253164557, "percentage": 14.39, "elapsed_time": "4:48:12", "remaining_time": "1 day, 4:34:38"}
178
+ {"current_steps": 178, "total_steps": 1230, "loss": 0.6165, "lr": 3.9756864721399456e-05, "epoch": 0.7210126582278481, "percentage": 14.47, "elapsed_time": "4:49:56", "remaining_time": "1 day, 4:33:35"}
179
+ {"current_steps": 179, "total_steps": 1230, "loss": 0.6059, "lr": 3.974796184811956e-05, "epoch": 0.7250632911392405, "percentage": 14.55, "elapsed_time": "4:51:18", "remaining_time": "1 day, 4:30:27"}
180
+ {"current_steps": 180, "total_steps": 1230, "loss": 0.6156, "lr": 3.973889992746979e-05, "epoch": 0.7291139240506329, "percentage": 14.63, "elapsed_time": "4:53:02", "remaining_time": "1 day, 4:29:22"}
181
+ {"current_steps": 181, "total_steps": 1230, "loss": 0.6153, "lr": 3.972967903243361e-05, "epoch": 0.7331645569620253, "percentage": 14.72, "elapsed_time": "4:54:29", "remaining_time": "1 day, 4:26:42"}
182
+ {"current_steps": 182, "total_steps": 1230, "loss": 0.6074, "lr": 3.972029923727486e-05, "epoch": 0.7372151898734177, "percentage": 14.8, "elapsed_time": "4:56:00", "remaining_time": "1 day, 4:24:30"}
183
+ {"current_steps": 183, "total_steps": 1230, "loss": 0.6152, "lr": 3.971076061753709e-05, "epoch": 0.7412658227848101, "percentage": 14.88, "elapsed_time": "4:57:35", "remaining_time": "1 day, 4:22:36"}
184
+ {"current_steps": 184, "total_steps": 1230, "loss": 0.621, "lr": 3.9701063250043066e-05, "epoch": 0.7453164556962025, "percentage": 14.96, "elapsed_time": "4:59:15", "remaining_time": "1 day, 4:21:12"}
185
+ {"current_steps": 185, "total_steps": 1230, "loss": 0.6116, "lr": 3.969120721289402e-05, "epoch": 0.7493670886075949, "percentage": 15.04, "elapsed_time": "5:01:09", "remaining_time": "1 day, 4:21:07"}
186
+ {"current_steps": 186, "total_steps": 1230, "loss": 0.6004, "lr": 3.9681192585469146e-05, "epoch": 0.7534177215189873, "percentage": 15.12, "elapsed_time": "5:02:55", "remaining_time": "1 day, 4:20:18"}
187
+ {"current_steps": 187, "total_steps": 1230, "loss": 0.6114, "lr": 3.9671019448424865e-05, "epoch": 0.7574683544303797, "percentage": 15.2, "elapsed_time": "5:04:36", "remaining_time": "1 day, 4:18:55"}
188
+ {"current_steps": 188, "total_steps": 1230, "loss": 0.6069, "lr": 3.966068788369422e-05, "epoch": 0.7615189873417721, "percentage": 15.28, "elapsed_time": "5:06:13", "remaining_time": "1 day, 4:17:16"}
189
+ {"current_steps": 189, "total_steps": 1230, "loss": 0.5891, "lr": 3.965019797448622e-05, "epoch": 0.7655696202531646, "percentage": 15.37, "elapsed_time": "5:07:55", "remaining_time": "1 day, 4:15:59"}
190
+ {"current_steps": 190, "total_steps": 1230, "loss": 0.6109, "lr": 3.963954980528515e-05, "epoch": 0.769620253164557, "percentage": 15.45, "elapsed_time": "5:09:33", "remaining_time": "1 day, 4:14:27"}
191
+ {"current_steps": 191, "total_steps": 1230, "loss": 0.6208, "lr": 3.9628743461849905e-05, "epoch": 0.7736708860759494, "percentage": 15.53, "elapsed_time": "5:11:13", "remaining_time": "1 day, 4:12:59"}
192
+ {"current_steps": 192, "total_steps": 1230, "loss": 0.6093, "lr": 3.961777903121329e-05, "epoch": 0.7777215189873418, "percentage": 15.61, "elapsed_time": "5:12:47", "remaining_time": "1 day, 4:10:59"}
193
+ {"current_steps": 193, "total_steps": 1230, "loss": 0.6024, "lr": 3.960665660168131e-05, "epoch": 0.7817721518987342, "percentage": 15.69, "elapsed_time": "5:14:27", "remaining_time": "1 day, 4:09:37"}
194
+ {"current_steps": 194, "total_steps": 1230, "loss": 0.6028, "lr": 3.9595376262832485e-05, "epoch": 0.7858227848101266, "percentage": 15.77, "elapsed_time": "5:16:01", "remaining_time": "1 day, 4:07:40"}
195
+ {"current_steps": 195, "total_steps": 1230, "loss": 0.597, "lr": 3.9583938105517127e-05, "epoch": 0.789873417721519, "percentage": 15.85, "elapsed_time": "5:17:37", "remaining_time": "1 day, 4:05:51"}
196
+ {"current_steps": 196, "total_steps": 1230, "loss": 0.6051, "lr": 3.957234222185657e-05, "epoch": 0.7939240506329114, "percentage": 15.93, "elapsed_time": "5:19:19", "remaining_time": "1 day, 4:04:35"}
197
+ {"current_steps": 197, "total_steps": 1230, "loss": 0.6071, "lr": 3.9560588705242474e-05, "epoch": 0.7979746835443038, "percentage": 16.02, "elapsed_time": "5:20:53", "remaining_time": "1 day, 4:02:37"}
198
+ {"current_steps": 198, "total_steps": 1230, "loss": 0.6108, "lr": 3.954867765033605e-05, "epoch": 0.8020253164556962, "percentage": 16.1, "elapsed_time": "5:22:32", "remaining_time": "1 day, 4:01:08"}
199
+ {"current_steps": 199, "total_steps": 1230, "loss": 0.5995, "lr": 3.953660915306728e-05, "epoch": 0.8060759493670886, "percentage": 16.18, "elapsed_time": "5:24:16", "remaining_time": "1 day, 4:00:02"}
200
+ {"current_steps": 200, "total_steps": 1230, "loss": 0.5996, "lr": 3.952438331063419e-05, "epoch": 0.810126582278481, "percentage": 16.26, "elapsed_time": "5:26:00", "remaining_time": "1 day, 3:58:54"}
201
+ {"current_steps": 201, "total_steps": 1230, "loss": 0.61, "lr": 3.951200022150205e-05, "epoch": 0.8141772151898734, "percentage": 16.34, "elapsed_time": "5:27:31", "remaining_time": "1 day, 3:56:46"}
202
+ {"current_steps": 202, "total_steps": 1230, "loss": 0.6108, "lr": 3.949945998540253e-05, "epoch": 0.8182278481012658, "percentage": 16.42, "elapsed_time": "5:29:05", "remaining_time": "1 day, 3:54:46"}
203
+ {"current_steps": 203, "total_steps": 1230, "loss": 0.6069, "lr": 3.9486762703332993e-05, "epoch": 0.8222784810126582, "percentage": 16.5, "elapsed_time": "5:30:46", "remaining_time": "1 day, 3:53:27"}
204
+ {"current_steps": 204, "total_steps": 1230, "loss": 0.614, "lr": 3.947390847755559e-05, "epoch": 0.8263291139240506, "percentage": 16.59, "elapsed_time": "5:32:19", "remaining_time": "1 day, 3:51:24"}
205
+ {"current_steps": 205, "total_steps": 1230, "loss": 0.6085, "lr": 3.946089741159648e-05, "epoch": 0.830379746835443, "percentage": 16.67, "elapsed_time": "5:33:46", "remaining_time": "1 day, 3:48:52"}
206
+ {"current_steps": 206, "total_steps": 1230, "loss": 0.594, "lr": 3.944772961024501e-05, "epoch": 0.8344303797468354, "percentage": 16.75, "elapsed_time": "5:35:29", "remaining_time": "1 day, 3:47:39"}
207
+ {"current_steps": 207, "total_steps": 1230, "loss": 0.6013, "lr": 3.943440517955285e-05, "epoch": 0.8384810126582278, "percentage": 16.83, "elapsed_time": "5:37:15", "remaining_time": "1 day, 3:46:43"}
208
+ {"current_steps": 208, "total_steps": 1230, "loss": 0.6076, "lr": 3.9420924226833126e-05, "epoch": 0.8425316455696202, "percentage": 16.91, "elapsed_time": "5:38:47", "remaining_time": "1 day, 3:44:38"}
209
+ {"current_steps": 209, "total_steps": 1230, "loss": 0.5925, "lr": 3.9407286860659566e-05, "epoch": 0.8465822784810126, "percentage": 16.99, "elapsed_time": "5:40:17", "remaining_time": "1 day, 3:42:21"}
210
+ {"current_steps": 210, "total_steps": 1230, "loss": 0.6162, "lr": 3.9393493190865657e-05, "epoch": 0.850632911392405, "percentage": 17.07, "elapsed_time": "5:41:59", "remaining_time": "1 day, 3:41:05"}
211
+ {"current_steps": 211, "total_steps": 1230, "loss": 0.6053, "lr": 3.937954332854371e-05, "epoch": 0.8546835443037974, "percentage": 17.15, "elapsed_time": "5:43:28", "remaining_time": "1 day, 3:38:45"}
212
+ {"current_steps": 212, "total_steps": 1230, "loss": 0.6053, "lr": 3.9365437386044016e-05, "epoch": 0.8587341772151899, "percentage": 17.24, "elapsed_time": "5:45:13", "remaining_time": "1 day, 3:37:42"}
213
+ {"current_steps": 213, "total_steps": 1230, "loss": 0.6009, "lr": 3.935117547697387e-05, "epoch": 0.8627848101265823, "percentage": 17.32, "elapsed_time": "5:46:48", "remaining_time": "1 day, 3:35:51"}
214
+ {"current_steps": 214, "total_steps": 1230, "loss": 0.6139, "lr": 3.933675771619675e-05, "epoch": 0.8668354430379747, "percentage": 17.4, "elapsed_time": "5:48:29", "remaining_time": "1 day, 3:34:31"}
215
+ {"current_steps": 215, "total_steps": 1230, "loss": 0.5984, "lr": 3.932218421983131e-05, "epoch": 0.8708860759493671, "percentage": 17.48, "elapsed_time": "5:50:01", "remaining_time": "1 day, 3:32:27"}
216
+ {"current_steps": 216, "total_steps": 1230, "loss": 0.6003, "lr": 3.9307455105250484e-05, "epoch": 0.8749367088607595, "percentage": 17.56, "elapsed_time": "5:51:33", "remaining_time": "1 day, 3:30:23"}
217
+ {"current_steps": 217, "total_steps": 1230, "loss": 0.6054, "lr": 3.929257049108054e-05, "epoch": 0.8789873417721519, "percentage": 17.64, "elapsed_time": "5:53:13", "remaining_time": "1 day, 3:28:56"}
218
+ {"current_steps": 218, "total_steps": 1230, "loss": 0.5945, "lr": 3.927753049720011e-05, "epoch": 0.8830379746835443, "percentage": 17.72, "elapsed_time": "5:54:51", "remaining_time": "1 day, 3:27:19"}
219
+ {"current_steps": 219, "total_steps": 1230, "loss": 0.6182, "lr": 3.9262335244739234e-05, "epoch": 0.8870886075949367, "percentage": 17.8, "elapsed_time": "5:56:30", "remaining_time": "1 day, 3:25:49"}
220
+ {"current_steps": 220, "total_steps": 1230, "loss": 0.5875, "lr": 3.92469848560784e-05, "epoch": 0.8911392405063291, "percentage": 17.89, "elapsed_time": "5:57:57", "remaining_time": "1 day, 3:23:21"}
221
+ {"current_steps": 221, "total_steps": 1230, "loss": 0.5935, "lr": 3.923147945484751e-05, "epoch": 0.8951898734177215, "percentage": 17.97, "elapsed_time": "5:59:40", "remaining_time": "1 day, 3:22:06"}
222
+ {"current_steps": 222, "total_steps": 1230, "loss": 0.6064, "lr": 3.9215819165924956e-05, "epoch": 0.8992405063291139, "percentage": 18.05, "elapsed_time": "6:01:05", "remaining_time": "1 day, 3:19:32"}
223
+ {"current_steps": 223, "total_steps": 1230, "loss": 0.5999, "lr": 3.920000411543654e-05, "epoch": 0.9032911392405063, "percentage": 18.13, "elapsed_time": "6:02:33", "remaining_time": "1 day, 3:17:10"}
224
+ {"current_steps": 224, "total_steps": 1230, "loss": 0.5893, "lr": 3.9184034430754495e-05, "epoch": 0.9073417721518987, "percentage": 18.21, "elapsed_time": "6:04:06", "remaining_time": "1 day, 3:15:12"}
225
+ {"current_steps": 225, "total_steps": 1230, "loss": 0.593, "lr": 3.916791024049648e-05, "epoch": 0.9113924050632911, "percentage": 18.29, "elapsed_time": "6:05:33", "remaining_time": "1 day, 3:12:49"}
226
+ {"current_steps": 226, "total_steps": 1230, "loss": 0.5913, "lr": 3.91516316745245e-05, "epoch": 0.9154430379746835, "percentage": 18.37, "elapsed_time": "6:07:08", "remaining_time": "1 day, 3:10:59"}
227
+ {"current_steps": 227, "total_steps": 1230, "loss": 0.602, "lr": 3.913519886394389e-05, "epoch": 0.9194936708860759, "percentage": 18.46, "elapsed_time": "6:08:51", "remaining_time": "1 day, 3:09:50"}
228
+ {"current_steps": 228, "total_steps": 1230, "loss": 0.594, "lr": 3.911861194110225e-05, "epoch": 0.9235443037974683, "percentage": 18.54, "elapsed_time": "6:10:22", "remaining_time": "1 day, 3:07:40"}
229
+ {"current_steps": 229, "total_steps": 1230, "loss": 0.5996, "lr": 3.910187103958837e-05, "epoch": 0.9275949367088607, "percentage": 18.62, "elapsed_time": "6:12:04", "remaining_time": "1 day, 3:06:26"}
230
+ {"current_steps": 230, "total_steps": 1230, "loss": 0.599, "lr": 3.908497629423117e-05, "epoch": 0.9316455696202531, "percentage": 18.7, "elapsed_time": "6:13:41", "remaining_time": "1 day, 3:04:44"}
231
+ {"current_steps": 231, "total_steps": 1230, "loss": 0.6019, "lr": 3.9067927841098614e-05, "epoch": 0.9356962025316455, "percentage": 18.78, "elapsed_time": "6:15:13", "remaining_time": "1 day, 3:02:42"}
232
+ {"current_steps": 232, "total_steps": 1230, "loss": 0.6048, "lr": 3.9050725817496594e-05, "epoch": 0.9397468354430379, "percentage": 18.86, "elapsed_time": "6:16:50", "remaining_time": "1 day, 3:01:03"}
233
+ {"current_steps": 233, "total_steps": 1230, "loss": 0.6004, "lr": 3.9033370361967844e-05, "epoch": 0.9437974683544303, "percentage": 18.94, "elapsed_time": "6:18:22", "remaining_time": "1 day, 2:59:05"}
234
+ {"current_steps": 234, "total_steps": 1230, "loss": 0.6077, "lr": 3.901586161429081e-05, "epoch": 0.9478481012658228, "percentage": 19.02, "elapsed_time": "6:19:56", "remaining_time": "1 day, 2:57:10"}
235
+ {"current_steps": 235, "total_steps": 1230, "loss": 0.5909, "lr": 3.8998199715478545e-05, "epoch": 0.9518987341772152, "percentage": 19.11, "elapsed_time": "6:21:32", "remaining_time": "1 day, 2:55:26"}
236
+ {"current_steps": 236, "total_steps": 1230, "loss": 0.6023, "lr": 3.8980384807777564e-05, "epoch": 0.9559493670886076, "percentage": 19.19, "elapsed_time": "6:23:05", "remaining_time": "1 day, 2:53:29"}
237
+ {"current_steps": 237, "total_steps": 1230, "loss": 0.6066, "lr": 3.896241703466667e-05, "epoch": 0.96, "percentage": 19.27, "elapsed_time": "6:24:39", "remaining_time": "1 day, 2:51:40"}
238
+ {"current_steps": 238, "total_steps": 1230, "loss": 0.6037, "lr": 3.894429654085585e-05, "epoch": 0.9640506329113924, "percentage": 19.35, "elapsed_time": "6:26:10", "remaining_time": "1 day, 2:49:37"}
239
+ {"current_steps": 239, "total_steps": 1230, "loss": 0.5891, "lr": 3.892602347228505e-05, "epoch": 0.9681012658227848, "percentage": 19.43, "elapsed_time": "6:28:01", "remaining_time": "1 day, 2:48:56"}
240
+ {"current_steps": 240, "total_steps": 1230, "loss": 0.5991, "lr": 3.890759797612307e-05, "epoch": 0.9721518987341772, "percentage": 19.51, "elapsed_time": "6:29:33", "remaining_time": "1 day, 2:46:55"}
241
+ {"current_steps": 241, "total_steps": 1230, "loss": 0.5957, "lr": 3.888902020076632e-05, "epoch": 0.9762025316455696, "percentage": 19.59, "elapsed_time": "6:31:16", "remaining_time": "1 day, 2:45:40"}
242
+ {"current_steps": 242, "total_steps": 1230, "loss": 0.5945, "lr": 3.887029029583764e-05, "epoch": 0.980253164556962, "percentage": 19.67, "elapsed_time": "6:33:01", "remaining_time": "1 day, 2:44:35"}
243
+ {"current_steps": 243, "total_steps": 1230, "loss": 0.5959, "lr": 3.8851408412185125e-05, "epoch": 0.9843037974683544, "percentage": 19.76, "elapsed_time": "6:34:40", "remaining_time": "1 day, 2:43:04"}
244
+ {"current_steps": 244, "total_steps": 1230, "loss": 0.6004, "lr": 3.8832374701880855e-05, "epoch": 0.9883544303797468, "percentage": 19.84, "elapsed_time": "6:36:13", "remaining_time": "1 day, 2:41:07"}
245
+ {"current_steps": 245, "total_steps": 1230, "loss": 0.5924, "lr": 3.881318931821972e-05, "epoch": 0.9924050632911392, "percentage": 19.92, "elapsed_time": "6:37:49", "remaining_time": "1 day, 2:39:24"}
246
+ {"current_steps": 246, "total_steps": 1230, "loss": 0.5949, "lr": 3.879385241571817e-05, "epoch": 0.9964556962025316, "percentage": 20.0, "elapsed_time": "6:39:31", "remaining_time": "1 day, 2:38:06"}
247
+ {"current_steps": 247, "total_steps": 1230, "loss": 0.5838, "lr": 3.8774364150112955e-05, "epoch": 1.0020253164556963, "percentage": 20.08, "elapsed_time": "6:42:21", "remaining_time": "1 day, 2:41:18"}
248
+ {"current_steps": 248, "total_steps": 1230, "loss": 0.5437, "lr": 3.8754724678359884e-05, "epoch": 1.0060759493670886, "percentage": 20.16, "elapsed_time": "6:44:02", "remaining_time": "1 day, 2:39:51"}
249
+ {"current_steps": 249, "total_steps": 1230, "loss": 0.5448, "lr": 3.873493415863256e-05, "epoch": 1.010126582278481, "percentage": 20.24, "elapsed_time": "6:45:37", "remaining_time": "1 day, 2:38:02"}
training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:300a2e6c4ca96dbcd11776ed7f13fc67558db430b8db9e952b38396ef338cb34
3
+ size 7288
vocab.json ADDED
The diff for this file is too large to render. See raw diff