neginr commited on
Commit
2d24525
·
verified ·
1 Parent(s): 8c53c74

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:fbd4b87ac5ff9571085036228ce30074727f826dd0e45ba34210f0b52e069517
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:be540faf849b2a80372ddbeaa4d9f09a6c2986dccf7d7eedeee4d06fbdaa6396
3
+ size 4932751008
model-00003-of-00004.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:392380d7befcef96edc8da74fd8fa60cb071ea914c671ee8ec9f8d901c01b602
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:f5ae0578c96b74dd161071d0abdf3997608191aab2311b8715325438bc17989d
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 +1,251 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {"current_steps": 1, "total_steps": 1230, "loss": 1.0577, "lr": 3.2520325203252037e-07, "epoch": 0.0040547389761784085, "percentage": 0.08, "elapsed_time": "0:00:40", "remaining_time": "13:54:35"}
2
+ {"current_steps": 2, "total_steps": 1230, "loss": 1.0413, "lr": 6.504065040650407e-07, "epoch": 0.008109477952356817, "percentage": 0.16, "elapsed_time": "0:01:16", "remaining_time": "13:02:54"}
3
+ {"current_steps": 3, "total_steps": 1230, "loss": 1.0997, "lr": 9.75609756097561e-07, "epoch": 0.012164216928535226, "percentage": 0.24, "elapsed_time": "0:01:47", "remaining_time": "12:13:34"}
4
+ {"current_steps": 4, "total_steps": 1230, "loss": 1.0543, "lr": 1.3008130081300815e-06, "epoch": 0.016218955904713634, "percentage": 0.33, "elapsed_time": "0:02:21", "remaining_time": "12:01:04"}
5
+ {"current_steps": 5, "total_steps": 1230, "loss": 1.0698, "lr": 1.6260162601626018e-06, "epoch": 0.02027369488089204, "percentage": 0.41, "elapsed_time": "0:02:50", "remaining_time": "11:37:57"}
6
+ {"current_steps": 6, "total_steps": 1230, "loss": 1.0583, "lr": 1.951219512195122e-06, "epoch": 0.024328433857070453, "percentage": 0.49, "elapsed_time": "0:03:22", "remaining_time": "11:28:48"}
7
+ {"current_steps": 7, "total_steps": 1230, "loss": 1.0211, "lr": 2.2764227642276426e-06, "epoch": 0.02838317283324886, "percentage": 0.57, "elapsed_time": "0:03:55", "remaining_time": "11:25:44"}
8
+ {"current_steps": 8, "total_steps": 1230, "loss": 1.008, "lr": 2.601626016260163e-06, "epoch": 0.03243791180942727, "percentage": 0.65, "elapsed_time": "0:04:28", "remaining_time": "11:22:42"}
9
+ {"current_steps": 9, "total_steps": 1230, "loss": 0.9531, "lr": 2.926829268292683e-06, "epoch": 0.03649265078560568, "percentage": 0.73, "elapsed_time": "0:04:57", "remaining_time": "11:12:02"}
10
+ {"current_steps": 10, "total_steps": 1230, "loss": 0.96, "lr": 3.2520325203252037e-06, "epoch": 0.04054738976178408, "percentage": 0.81, "elapsed_time": "0:05:28", "remaining_time": "11:07:09"}
11
+ {"current_steps": 11, "total_steps": 1230, "loss": 0.9495, "lr": 3.577235772357724e-06, "epoch": 0.044602128737962494, "percentage": 0.89, "elapsed_time": "0:05:58", "remaining_time": "11:02:14"}
12
+ {"current_steps": 12, "total_steps": 1230, "loss": 0.9885, "lr": 3.902439024390244e-06, "epoch": 0.048656867714140906, "percentage": 0.98, "elapsed_time": "0:06:26", "remaining_time": "10:53:02"}
13
+ {"current_steps": 13, "total_steps": 1230, "loss": 0.9298, "lr": 4.227642276422765e-06, "epoch": 0.05271160669031931, "percentage": 1.06, "elapsed_time": "0:06:55", "remaining_time": "10:48:07"}
14
+ {"current_steps": 14, "total_steps": 1230, "loss": 0.9581, "lr": 4.552845528455285e-06, "epoch": 0.05676634566649772, "percentage": 1.14, "elapsed_time": "0:07:21", "remaining_time": "10:39:17"}
15
+ {"current_steps": 15, "total_steps": 1230, "loss": 0.9229, "lr": 4.8780487804878055e-06, "epoch": 0.060821084642676125, "percentage": 1.22, "elapsed_time": "0:07:54", "remaining_time": "10:40:49"}
16
+ {"current_steps": 16, "total_steps": 1230, "loss": 0.9136, "lr": 5.203252032520326e-06, "epoch": 0.06487582361885454, "percentage": 1.3, "elapsed_time": "0:08:26", "remaining_time": "10:40:56"}
17
+ {"current_steps": 17, "total_steps": 1230, "loss": 0.8693, "lr": 5.528455284552846e-06, "epoch": 0.06893056259503294, "percentage": 1.38, "elapsed_time": "0:08:59", "remaining_time": "10:41:26"}
18
+ {"current_steps": 18, "total_steps": 1230, "loss": 0.8641, "lr": 5.853658536585366e-06, "epoch": 0.07298530157121136, "percentage": 1.46, "elapsed_time": "0:09:26", "remaining_time": "10:35:19"}
19
+ {"current_steps": 19, "total_steps": 1230, "loss": 0.8179, "lr": 6.178861788617887e-06, "epoch": 0.07704004054738976, "percentage": 1.54, "elapsed_time": "0:09:57", "remaining_time": "10:34:29"}
20
+ {"current_steps": 20, "total_steps": 1230, "loss": 0.8681, "lr": 6.504065040650407e-06, "epoch": 0.08109477952356817, "percentage": 1.63, "elapsed_time": "0:10:27", "remaining_time": "10:32:37"}
21
+ {"current_steps": 21, "total_steps": 1230, "loss": 0.824, "lr": 6.829268292682928e-06, "epoch": 0.08514951849974658, "percentage": 1.71, "elapsed_time": "0:11:02", "remaining_time": "10:35:25"}
22
+ {"current_steps": 22, "total_steps": 1230, "loss": 0.8199, "lr": 7.154471544715448e-06, "epoch": 0.08920425747592499, "percentage": 1.79, "elapsed_time": "0:11:39", "remaining_time": "10:40:31"}
23
+ {"current_steps": 23, "total_steps": 1230, "loss": 0.8015, "lr": 7.4796747967479676e-06, "epoch": 0.0932589964521034, "percentage": 1.87, "elapsed_time": "0:12:06", "remaining_time": "10:35:26"}
24
+ {"current_steps": 24, "total_steps": 1230, "loss": 0.8087, "lr": 7.804878048780489e-06, "epoch": 0.09731373542828181, "percentage": 1.95, "elapsed_time": "0:12:41", "remaining_time": "10:37:40"}
25
+ {"current_steps": 25, "total_steps": 1230, "loss": 0.7823, "lr": 8.130081300813009e-06, "epoch": 0.10136847440446022, "percentage": 2.03, "elapsed_time": "0:13:13", "remaining_time": "10:37:06"}
26
+ {"current_steps": 26, "total_steps": 1230, "loss": 0.8034, "lr": 8.45528455284553e-06, "epoch": 0.10542321338063862, "percentage": 2.11, "elapsed_time": "0:13:45", "remaining_time": "10:37:02"}
27
+ {"current_steps": 27, "total_steps": 1230, "loss": 0.7643, "lr": 8.78048780487805e-06, "epoch": 0.10947795235681702, "percentage": 2.2, "elapsed_time": "0:14:19", "remaining_time": "10:37:56"}
28
+ {"current_steps": 28, "total_steps": 1230, "loss": 0.7792, "lr": 9.10569105691057e-06, "epoch": 0.11353269133299544, "percentage": 2.28, "elapsed_time": "0:14:54", "remaining_time": "10:39:52"}
29
+ {"current_steps": 29, "total_steps": 1230, "loss": 0.7906, "lr": 9.43089430894309e-06, "epoch": 0.11758743030917385, "percentage": 2.36, "elapsed_time": "0:15:24", "remaining_time": "10:37:57"}
30
+ {"current_steps": 30, "total_steps": 1230, "loss": 0.7727, "lr": 9.756097560975611e-06, "epoch": 0.12164216928535225, "percentage": 2.44, "elapsed_time": "0:15:52", "remaining_time": "10:35:10"}
31
+ {"current_steps": 31, "total_steps": 1230, "loss": 0.7917, "lr": 1.008130081300813e-05, "epoch": 0.12569690826153065, "percentage": 2.52, "elapsed_time": "0:16:23", "remaining_time": "10:34:12"}
32
+ {"current_steps": 32, "total_steps": 1230, "loss": 0.7549, "lr": 1.0406504065040652e-05, "epoch": 0.12975164723770907, "percentage": 2.6, "elapsed_time": "0:16:58", "remaining_time": "10:35:31"}
33
+ {"current_steps": 33, "total_steps": 1230, "loss": 0.764, "lr": 1.0731707317073172e-05, "epoch": 0.1338063862138875, "percentage": 2.68, "elapsed_time": "0:17:30", "remaining_time": "10:35:02"}
34
+ {"current_steps": 34, "total_steps": 1230, "loss": 0.7592, "lr": 1.1056910569105692e-05, "epoch": 0.13786112519006588, "percentage": 2.76, "elapsed_time": "0:18:04", "remaining_time": "10:35:32"}
35
+ {"current_steps": 35, "total_steps": 1230, "loss": 0.7547, "lr": 1.1382113821138213e-05, "epoch": 0.1419158641662443, "percentage": 2.85, "elapsed_time": "0:18:36", "remaining_time": "10:35:13"}
36
+ {"current_steps": 36, "total_steps": 1230, "loss": 0.7762, "lr": 1.1707317073170731e-05, "epoch": 0.14597060314242272, "percentage": 2.93, "elapsed_time": "0:19:04", "remaining_time": "10:32:53"}
37
+ {"current_steps": 37, "total_steps": 1230, "loss": 0.7378, "lr": 1.2032520325203254e-05, "epoch": 0.1500253421186011, "percentage": 3.01, "elapsed_time": "0:19:37", "remaining_time": "10:32:41"}
38
+ {"current_steps": 38, "total_steps": 1230, "loss": 0.7425, "lr": 1.2357723577235774e-05, "epoch": 0.15408008109477953, "percentage": 3.09, "elapsed_time": "0:20:08", "remaining_time": "10:31:39"}
39
+ {"current_steps": 39, "total_steps": 1230, "loss": 0.7662, "lr": 1.2682926829268294e-05, "epoch": 0.15813482007095794, "percentage": 3.17, "elapsed_time": "0:20:42", "remaining_time": "10:32:14"}
40
+ {"current_steps": 40, "total_steps": 1230, "loss": 0.7316, "lr": 1.3008130081300815e-05, "epoch": 0.16218955904713633, "percentage": 3.25, "elapsed_time": "0:21:18", "remaining_time": "10:33:53"}
41
+ {"current_steps": 41, "total_steps": 1230, "loss": 0.718, "lr": 1.3333333333333333e-05, "epoch": 0.16624429802331475, "percentage": 3.33, "elapsed_time": "0:21:49", "remaining_time": "10:32:45"}
42
+ {"current_steps": 42, "total_steps": 1230, "loss": 0.7328, "lr": 1.3658536585365855e-05, "epoch": 0.17029903699949317, "percentage": 3.41, "elapsed_time": "0:22:24", "remaining_time": "10:33:36"}
43
+ {"current_steps": 43, "total_steps": 1230, "loss": 0.7769, "lr": 1.3983739837398376e-05, "epoch": 0.17435377597567156, "percentage": 3.5, "elapsed_time": "0:22:55", "remaining_time": "10:32:41"}
44
+ {"current_steps": 44, "total_steps": 1230, "loss": 0.7145, "lr": 1.4308943089430896e-05, "epoch": 0.17840851495184998, "percentage": 3.58, "elapsed_time": "0:23:33", "remaining_time": "10:34:56"}
45
+ {"current_steps": 45, "total_steps": 1230, "loss": 0.7457, "lr": 1.4634146341463415e-05, "epoch": 0.1824632539280284, "percentage": 3.66, "elapsed_time": "0:24:05", "remaining_time": "10:34:15"}
46
+ {"current_steps": 46, "total_steps": 1230, "loss": 0.7396, "lr": 1.4959349593495935e-05, "epoch": 0.1865179929042068, "percentage": 3.74, "elapsed_time": "0:24:33", "remaining_time": "10:32:10"}
47
+ {"current_steps": 47, "total_steps": 1230, "loss": 0.7171, "lr": 1.528455284552846e-05, "epoch": 0.1905727318803852, "percentage": 3.82, "elapsed_time": "0:25:02", "remaining_time": "10:30:08"}
48
+ {"current_steps": 48, "total_steps": 1230, "loss": 0.7282, "lr": 1.5609756097560978e-05, "epoch": 0.19462747085656362, "percentage": 3.9, "elapsed_time": "0:25:35", "remaining_time": "10:30:02"}
49
+ {"current_steps": 49, "total_steps": 1230, "loss": 0.7232, "lr": 1.5934959349593496e-05, "epoch": 0.198682209832742, "percentage": 3.98, "elapsed_time": "0:26:05", "remaining_time": "10:28:57"}
50
+ {"current_steps": 50, "total_steps": 1230, "loss": 0.7286, "lr": 1.6260162601626018e-05, "epoch": 0.20273694880892043, "percentage": 4.07, "elapsed_time": "0:26:37", "remaining_time": "10:28:27"}
51
+ {"current_steps": 51, "total_steps": 1230, "loss": 0.7211, "lr": 1.6585365853658537e-05, "epoch": 0.20679168778509882, "percentage": 4.15, "elapsed_time": "0:27:08", "remaining_time": "10:27:21"}
52
+ {"current_steps": 52, "total_steps": 1230, "loss": 0.7412, "lr": 1.691056910569106e-05, "epoch": 0.21084642676127724, "percentage": 4.23, "elapsed_time": "0:27:39", "remaining_time": "10:26:28"}
53
+ {"current_steps": 53, "total_steps": 1230, "loss": 0.7171, "lr": 1.7235772357723578e-05, "epoch": 0.21490116573745566, "percentage": 4.31, "elapsed_time": "0:28:06", "remaining_time": "10:24:19"}
54
+ {"current_steps": 54, "total_steps": 1230, "loss": 0.7211, "lr": 1.75609756097561e-05, "epoch": 0.21895590471363405, "percentage": 4.39, "elapsed_time": "0:28:35", "remaining_time": "10:22:37"}
55
+ {"current_steps": 55, "total_steps": 1230, "loss": 0.7116, "lr": 1.788617886178862e-05, "epoch": 0.22301064368981247, "percentage": 4.47, "elapsed_time": "0:29:06", "remaining_time": "10:21:54"}
56
+ {"current_steps": 56, "total_steps": 1230, "loss": 0.6856, "lr": 1.821138211382114e-05, "epoch": 0.22706538266599088, "percentage": 4.55, "elapsed_time": "0:29:37", "remaining_time": "10:21:12"}
57
+ {"current_steps": 57, "total_steps": 1230, "loss": 0.7133, "lr": 1.8536585365853663e-05, "epoch": 0.23112012164216927, "percentage": 4.63, "elapsed_time": "0:30:03", "remaining_time": "10:18:43"}
58
+ {"current_steps": 58, "total_steps": 1230, "loss": 0.7093, "lr": 1.886178861788618e-05, "epoch": 0.2351748606183477, "percentage": 4.72, "elapsed_time": "0:30:33", "remaining_time": "10:17:37"}
59
+ {"current_steps": 59, "total_steps": 1230, "loss": 0.6769, "lr": 1.91869918699187e-05, "epoch": 0.2392295995945261, "percentage": 4.8, "elapsed_time": "0:31:09", "remaining_time": "10:18:22"}
60
+ {"current_steps": 60, "total_steps": 1230, "loss": 0.7094, "lr": 1.9512195121951222e-05, "epoch": 0.2432843385707045, "percentage": 4.88, "elapsed_time": "0:31:41", "remaining_time": "10:17:59"}
61
+ {"current_steps": 61, "total_steps": 1230, "loss": 0.702, "lr": 1.983739837398374e-05, "epoch": 0.24733907754688292, "percentage": 4.96, "elapsed_time": "0:32:17", "remaining_time": "10:18:42"}
62
+ {"current_steps": 62, "total_steps": 1230, "loss": 0.689, "lr": 2.016260162601626e-05, "epoch": 0.2513938165230613, "percentage": 5.04, "elapsed_time": "0:32:51", "remaining_time": "10:18:58"}
63
+ {"current_steps": 63, "total_steps": 1230, "loss": 0.7211, "lr": 2.048780487804878e-05, "epoch": 0.2554485554992397, "percentage": 5.12, "elapsed_time": "0:33:22", "remaining_time": "10:18:04"}
64
+ {"current_steps": 64, "total_steps": 1230, "loss": 0.7285, "lr": 2.0813008130081303e-05, "epoch": 0.25950329447541814, "percentage": 5.2, "elapsed_time": "0:33:46", "remaining_time": "10:15:25"}
65
+ {"current_steps": 65, "total_steps": 1230, "loss": 0.6741, "lr": 2.1138211382113822e-05, "epoch": 0.26355803345159656, "percentage": 5.28, "elapsed_time": "0:34:19", "remaining_time": "10:15:07"}
66
+ {"current_steps": 66, "total_steps": 1230, "loss": 0.7003, "lr": 2.1463414634146344e-05, "epoch": 0.267612772427775, "percentage": 5.37, "elapsed_time": "0:34:48", "remaining_time": "10:13:58"}
67
+ {"current_steps": 67, "total_steps": 1230, "loss": 0.6997, "lr": 2.1788617886178863e-05, "epoch": 0.27166751140395334, "percentage": 5.45, "elapsed_time": "0:35:20", "remaining_time": "10:13:27"}
68
+ {"current_steps": 68, "total_steps": 1230, "loss": 0.6841, "lr": 2.2113821138211385e-05, "epoch": 0.27572225038013176, "percentage": 5.53, "elapsed_time": "0:35:47", "remaining_time": "10:11:43"}
69
+ {"current_steps": 69, "total_steps": 1230, "loss": 0.6909, "lr": 2.2439024390243907e-05, "epoch": 0.2797769893563102, "percentage": 5.61, "elapsed_time": "0:36:17", "remaining_time": "10:10:31"}
70
+ {"current_steps": 70, "total_steps": 1230, "loss": 0.7088, "lr": 2.2764227642276426e-05, "epoch": 0.2838317283324886, "percentage": 5.69, "elapsed_time": "0:36:45", "remaining_time": "10:09:16"}
71
+ {"current_steps": 71, "total_steps": 1230, "loss": 0.6983, "lr": 2.3089430894308948e-05, "epoch": 0.287886467308667, "percentage": 5.77, "elapsed_time": "0:37:14", "remaining_time": "10:07:54"}
72
+ {"current_steps": 72, "total_steps": 1230, "loss": 0.6856, "lr": 2.3414634146341463e-05, "epoch": 0.29194120628484543, "percentage": 5.85, "elapsed_time": "0:37:50", "remaining_time": "10:08:37"}
73
+ {"current_steps": 73, "total_steps": 1230, "loss": 0.7066, "lr": 2.3739837398373985e-05, "epoch": 0.2959959452610238, "percentage": 5.93, "elapsed_time": "0:38:20", "remaining_time": "10:07:41"}
74
+ {"current_steps": 74, "total_steps": 1230, "loss": 0.7168, "lr": 2.4065040650406507e-05, "epoch": 0.3000506842372022, "percentage": 6.02, "elapsed_time": "0:38:46", "remaining_time": "10:05:47"}
75
+ {"current_steps": 75, "total_steps": 1230, "loss": 0.726, "lr": 2.4390243902439026e-05, "epoch": 0.30410542321338063, "percentage": 6.1, "elapsed_time": "0:39:19", "remaining_time": "10:05:29"}
76
+ {"current_steps": 76, "total_steps": 1230, "loss": 0.6918, "lr": 2.4715447154471548e-05, "epoch": 0.30816016218955905, "percentage": 6.18, "elapsed_time": "0:39:48", "remaining_time": "10:04:31"}
77
+ {"current_steps": 77, "total_steps": 1230, "loss": 0.709, "lr": 2.5040650406504066e-05, "epoch": 0.31221490116573747, "percentage": 6.26, "elapsed_time": "0:40:20", "remaining_time": "10:04:02"}
78
+ {"current_steps": 78, "total_steps": 1230, "loss": 0.6992, "lr": 2.536585365853659e-05, "epoch": 0.3162696401419159, "percentage": 6.34, "elapsed_time": "0:40:52", "remaining_time": "10:03:43"}
79
+ {"current_steps": 79, "total_steps": 1230, "loss": 0.7066, "lr": 2.569105691056911e-05, "epoch": 0.32032437911809425, "percentage": 6.42, "elapsed_time": "0:41:24", "remaining_time": "10:03:23"}
80
+ {"current_steps": 80, "total_steps": 1230, "loss": 0.7102, "lr": 2.601626016260163e-05, "epoch": 0.32437911809427267, "percentage": 6.5, "elapsed_time": "0:41:56", "remaining_time": "10:02:50"}
81
+ {"current_steps": 81, "total_steps": 1230, "loss": 0.7014, "lr": 2.634146341463415e-05, "epoch": 0.3284338570704511, "percentage": 6.59, "elapsed_time": "0:42:30", "remaining_time": "10:03:02"}
82
+ {"current_steps": 82, "total_steps": 1230, "loss": 0.7047, "lr": 2.6666666666666667e-05, "epoch": 0.3324885960466295, "percentage": 6.67, "elapsed_time": "0:43:02", "remaining_time": "10:02:29"}
83
+ {"current_steps": 83, "total_steps": 1230, "loss": 0.6837, "lr": 2.699186991869919e-05, "epoch": 0.3365433350228079, "percentage": 6.75, "elapsed_time": "0:43:33", "remaining_time": "10:01:53"}
84
+ {"current_steps": 84, "total_steps": 1230, "loss": 0.679, "lr": 2.731707317073171e-05, "epoch": 0.34059807399898634, "percentage": 6.83, "elapsed_time": "0:44:08", "remaining_time": "10:02:16"}
85
+ {"current_steps": 85, "total_steps": 1230, "loss": 0.698, "lr": 2.764227642276423e-05, "epoch": 0.3446528129751647, "percentage": 6.91, "elapsed_time": "0:44:43", "remaining_time": "10:02:32"}
86
+ {"current_steps": 86, "total_steps": 1230, "loss": 0.69, "lr": 2.796747967479675e-05, "epoch": 0.3487075519513431, "percentage": 6.99, "elapsed_time": "0:45:13", "remaining_time": "10:01:41"}
87
+ {"current_steps": 87, "total_steps": 1230, "loss": 0.7075, "lr": 2.829268292682927e-05, "epoch": 0.35276229092752154, "percentage": 7.07, "elapsed_time": "0:45:48", "remaining_time": "10:01:52"}
88
+ {"current_steps": 88, "total_steps": 1230, "loss": 0.6846, "lr": 2.8617886178861792e-05, "epoch": 0.35681702990369996, "percentage": 7.15, "elapsed_time": "0:46:24", "remaining_time": "10:02:10"}
89
+ {"current_steps": 89, "total_steps": 1230, "loss": 0.6879, "lr": 2.8943089430894314e-05, "epoch": 0.3608717688798784, "percentage": 7.24, "elapsed_time": "0:46:59", "remaining_time": "10:02:25"}
90
+ {"current_steps": 90, "total_steps": 1230, "loss": 0.6873, "lr": 2.926829268292683e-05, "epoch": 0.3649265078560568, "percentage": 7.32, "elapsed_time": "0:47:32", "remaining_time": "10:02:09"}
91
+ {"current_steps": 91, "total_steps": 1230, "loss": 0.6923, "lr": 2.959349593495935e-05, "epoch": 0.36898124683223515, "percentage": 7.4, "elapsed_time": "0:48:06", "remaining_time": "10:02:04"}
92
+ {"current_steps": 92, "total_steps": 1230, "loss": 0.692, "lr": 2.991869918699187e-05, "epoch": 0.3730359858084136, "percentage": 7.48, "elapsed_time": "0:48:34", "remaining_time": "10:00:53"}
93
+ {"current_steps": 93, "total_steps": 1230, "loss": 0.6887, "lr": 3.0243902439024392e-05, "epoch": 0.377090724784592, "percentage": 7.56, "elapsed_time": "0:49:02", "remaining_time": "9:59:31"}
94
+ {"current_steps": 94, "total_steps": 1230, "loss": 0.6741, "lr": 3.056910569105692e-05, "epoch": 0.3811454637607704, "percentage": 7.64, "elapsed_time": "0:49:34", "remaining_time": "9:59:10"}
95
+ {"current_steps": 95, "total_steps": 1230, "loss": 0.691, "lr": 3.089430894308943e-05, "epoch": 0.3852002027369488, "percentage": 7.72, "elapsed_time": "0:50:05", "remaining_time": "9:58:22"}
96
+ {"current_steps": 96, "total_steps": 1230, "loss": 0.6852, "lr": 3.1219512195121955e-05, "epoch": 0.38925494171312724, "percentage": 7.8, "elapsed_time": "0:50:39", "remaining_time": "9:58:29"}
97
+ {"current_steps": 97, "total_steps": 1230, "loss": 0.6911, "lr": 3.154471544715447e-05, "epoch": 0.3933096806893056, "percentage": 7.89, "elapsed_time": "0:51:10", "remaining_time": "9:57:45"}
98
+ {"current_steps": 98, "total_steps": 1230, "loss": 0.6863, "lr": 3.186991869918699e-05, "epoch": 0.397364419665484, "percentage": 7.97, "elapsed_time": "0:51:39", "remaining_time": "9:56:38"}
99
+ {"current_steps": 99, "total_steps": 1230, "loss": 0.683, "lr": 3.2195121951219514e-05, "epoch": 0.40141915864166244, "percentage": 8.05, "elapsed_time": "0:52:08", "remaining_time": "9:55:43"}
100
+ {"current_steps": 100, "total_steps": 1230, "loss": 0.711, "lr": 3.2520325203252037e-05, "epoch": 0.40547389761784086, "percentage": 8.13, "elapsed_time": "0:52:34", "remaining_time": "9:54:10"}
101
+ {"current_steps": 101, "total_steps": 1230, "loss": 0.6931, "lr": 3.284552845528456e-05, "epoch": 0.4095286365940193, "percentage": 8.21, "elapsed_time": "0:53:04", "remaining_time": "9:53:20"}
102
+ {"current_steps": 102, "total_steps": 1230, "loss": 0.6787, "lr": 3.3170731707317074e-05, "epoch": 0.41358337557019764, "percentage": 8.29, "elapsed_time": "0:53:34", "remaining_time": "9:52:23"}
103
+ {"current_steps": 103, "total_steps": 1230, "loss": 0.699, "lr": 3.3495934959349596e-05, "epoch": 0.41763811454637606, "percentage": 8.37, "elapsed_time": "0:54:07", "remaining_time": "9:52:18"}
104
+ {"current_steps": 104, "total_steps": 1230, "loss": 0.6809, "lr": 3.382113821138212e-05, "epoch": 0.4216928535225545, "percentage": 8.46, "elapsed_time": "0:54:40", "remaining_time": "9:51:52"}
105
+ {"current_steps": 105, "total_steps": 1230, "loss": 0.6875, "lr": 3.414634146341463e-05, "epoch": 0.4257475924987329, "percentage": 8.54, "elapsed_time": "0:55:14", "remaining_time": "9:51:55"}
106
+ {"current_steps": 106, "total_steps": 1230, "loss": 0.6664, "lr": 3.4471544715447155e-05, "epoch": 0.4298023314749113, "percentage": 8.62, "elapsed_time": "0:55:54", "remaining_time": "9:52:55"}
107
+ {"current_steps": 107, "total_steps": 1230, "loss": 0.7151, "lr": 3.479674796747968e-05, "epoch": 0.43385707045108973, "percentage": 8.7, "elapsed_time": "0:56:26", "remaining_time": "9:52:17"}
108
+ {"current_steps": 108, "total_steps": 1230, "loss": 0.6912, "lr": 3.51219512195122e-05, "epoch": 0.4379118094272681, "percentage": 8.78, "elapsed_time": "0:56:57", "remaining_time": "9:51:39"}
109
+ {"current_steps": 109, "total_steps": 1230, "loss": 0.6941, "lr": 3.544715447154472e-05, "epoch": 0.4419665484034465, "percentage": 8.86, "elapsed_time": "0:57:28", "remaining_time": "9:51:07"}
110
+ {"current_steps": 110, "total_steps": 1230, "loss": 0.678, "lr": 3.577235772357724e-05, "epoch": 0.44602128737962493, "percentage": 8.94, "elapsed_time": "0:57:59", "remaining_time": "9:50:29"}
111
+ {"current_steps": 111, "total_steps": 1230, "loss": 0.7146, "lr": 3.609756097560976e-05, "epoch": 0.45007602635580335, "percentage": 9.02, "elapsed_time": "0:58:28", "remaining_time": "9:49:27"}
112
+ {"current_steps": 112, "total_steps": 1230, "loss": 0.6937, "lr": 3.642276422764228e-05, "epoch": 0.45413076533198177, "percentage": 9.11, "elapsed_time": "0:59:01", "remaining_time": "9:49:13"}
113
+ {"current_steps": 113, "total_steps": 1230, "loss": 0.6987, "lr": 3.67479674796748e-05, "epoch": 0.4581855043081602, "percentage": 9.19, "elapsed_time": "0:59:31", "remaining_time": "9:48:27"}
114
+ {"current_steps": 114, "total_steps": 1230, "loss": 0.6866, "lr": 3.7073170731707325e-05, "epoch": 0.46224024328433855, "percentage": 9.27, "elapsed_time": "1:00:06", "remaining_time": "9:48:21"}
115
+ {"current_steps": 115, "total_steps": 1230, "loss": 0.6705, "lr": 3.739837398373984e-05, "epoch": 0.46629498226051697, "percentage": 9.35, "elapsed_time": "1:00:37", "remaining_time": "9:47:44"}
116
+ {"current_steps": 116, "total_steps": 1230, "loss": 0.7079, "lr": 3.772357723577236e-05, "epoch": 0.4703497212366954, "percentage": 9.43, "elapsed_time": "1:01:07", "remaining_time": "9:47:02"}
117
+ {"current_steps": 117, "total_steps": 1230, "loss": 0.7203, "lr": 3.804878048780488e-05, "epoch": 0.4744044602128738, "percentage": 9.51, "elapsed_time": "1:01:37", "remaining_time": "9:46:15"}
118
+ {"current_steps": 118, "total_steps": 1230, "loss": 0.6731, "lr": 3.83739837398374e-05, "epoch": 0.4784591991890522, "percentage": 9.59, "elapsed_time": "1:02:08", "remaining_time": "9:45:39"}
119
+ {"current_steps": 119, "total_steps": 1230, "loss": 0.6875, "lr": 3.869918699186992e-05, "epoch": 0.48251393816523064, "percentage": 9.67, "elapsed_time": "1:02:43", "remaining_time": "9:45:37"}
120
+ {"current_steps": 120, "total_steps": 1230, "loss": 0.6718, "lr": 3.9024390243902444e-05, "epoch": 0.486568677141409, "percentage": 9.76, "elapsed_time": "1:03:12", "remaining_time": "9:44:40"}
121
+ {"current_steps": 121, "total_steps": 1230, "loss": 0.6967, "lr": 3.9349593495934966e-05, "epoch": 0.4906234161175874, "percentage": 9.84, "elapsed_time": "1:03:43", "remaining_time": "9:44:03"}
122
+ {"current_steps": 122, "total_steps": 1230, "loss": 0.6951, "lr": 3.967479674796748e-05, "epoch": 0.49467815509376584, "percentage": 9.92, "elapsed_time": "1:04:13", "remaining_time": "9:43:14"}
123
+ {"current_steps": 123, "total_steps": 1230, "loss": 0.743, "lr": 4e-05, "epoch": 0.49873289406994425, "percentage": 10.0, "elapsed_time": "1:04:51", "remaining_time": "9:43:42"}
124
+ {"current_steps": 124, "total_steps": 1230, "loss": 0.6937, "lr": 3.999991946137476e-05, "epoch": 0.5027876330461226, "percentage": 10.08, "elapsed_time": "1:05:28", "remaining_time": "9:43:55"}
125
+ {"current_steps": 125, "total_steps": 1230, "loss": 0.7031, "lr": 3.999967784614766e-05, "epoch": 0.5068423720223011, "percentage": 10.16, "elapsed_time": "1:05:58", "remaining_time": "9:43:14"}
126
+ {"current_steps": 126, "total_steps": 1230, "loss": 0.7107, "lr": 3.9999275156264656e-05, "epoch": 0.5108971109984795, "percentage": 10.24, "elapsed_time": "1:06:28", "remaining_time": "9:42:25"}
127
+ {"current_steps": 127, "total_steps": 1230, "loss": 0.694, "lr": 3.999871139496895e-05, "epoch": 0.5149518499746579, "percentage": 10.33, "elapsed_time": "1:07:06", "remaining_time": "9:42:51"}
128
+ {"current_steps": 128, "total_steps": 1230, "loss": 0.6714, "lr": 3.9997986566800995e-05, "epoch": 0.5190065889508363, "percentage": 10.41, "elapsed_time": "1:07:43", "remaining_time": "9:43:02"}
129
+ {"current_steps": 129, "total_steps": 1230, "loss": 0.6753, "lr": 3.999710067759846e-05, "epoch": 0.5230613279270147, "percentage": 10.49, "elapsed_time": "1:08:15", "remaining_time": "9:42:36"}
130
+ {"current_steps": 130, "total_steps": 1230, "loss": 0.7147, "lr": 3.999605373449617e-05, "epoch": 0.5271160669031931, "percentage": 10.57, "elapsed_time": "1:08:47", "remaining_time": "9:42:06"}
131
+ {"current_steps": 131, "total_steps": 1230, "loss": 0.667, "lr": 3.9994845745926075e-05, "epoch": 0.5311708058793715, "percentage": 10.65, "elapsed_time": "1:09:19", "remaining_time": "9:41:33"}
132
+ {"current_steps": 132, "total_steps": 1230, "loss": 0.7076, "lr": 3.999347672161713e-05, "epoch": 0.53522554485555, "percentage": 10.73, "elapsed_time": "1:09:51", "remaining_time": "9:41:08"}
133
+ {"current_steps": 133, "total_steps": 1230, "loss": 0.7029, "lr": 3.999194667259528e-05, "epoch": 0.5392802838317283, "percentage": 10.81, "elapsed_time": "1:10:27", "remaining_time": "9:41:07"}
134
+ {"current_steps": 134, "total_steps": 1230, "loss": 0.7003, "lr": 3.999025561118334e-05, "epoch": 0.5433350228079067, "percentage": 10.89, "elapsed_time": "1:10:51", "remaining_time": "9:39:37"}
135
+ {"current_steps": 135, "total_steps": 1230, "loss": 0.6803, "lr": 3.998840355100086e-05, "epoch": 0.5473897617840852, "percentage": 10.98, "elapsed_time": "1:11:24", "remaining_time": "9:39:09"}
136
+ {"current_steps": 136, "total_steps": 1230, "loss": 0.6981, "lr": 3.998639050696409e-05, "epoch": 0.5514445007602635, "percentage": 11.06, "elapsed_time": "1:11:55", "remaining_time": "9:38:31"}
137
+ {"current_steps": 137, "total_steps": 1230, "loss": 0.6801, "lr": 3.998421649528582e-05, "epoch": 0.555499239736442, "percentage": 11.14, "elapsed_time": "1:12:22", "remaining_time": "9:37:26"}
138
+ {"current_steps": 138, "total_steps": 1230, "loss": 0.6928, "lr": 3.9981881533475234e-05, "epoch": 0.5595539787126204, "percentage": 11.22, "elapsed_time": "1:12:54", "remaining_time": "9:36:54"}
139
+ {"current_steps": 139, "total_steps": 1230, "loss": 0.671, "lr": 3.997938564033779e-05, "epoch": 0.5636087176887988, "percentage": 11.3, "elapsed_time": "1:13:26", "remaining_time": "9:36:24"}
140
+ {"current_steps": 140, "total_steps": 1230, "loss": 0.6598, "lr": 3.9976728835975064e-05, "epoch": 0.5676634566649772, "percentage": 11.38, "elapsed_time": "1:14:02", "remaining_time": "9:36:29"}
141
+ {"current_steps": 141, "total_steps": 1230, "loss": 0.6803, "lr": 3.9973911141784605e-05, "epoch": 0.5717181956411556, "percentage": 11.46, "elapsed_time": "1:14:36", "remaining_time": "9:36:10"}
142
+ {"current_steps": 142, "total_steps": 1230, "loss": 0.6933, "lr": 3.997093258045973e-05, "epoch": 0.575772934617334, "percentage": 11.54, "elapsed_time": "1:15:12", "remaining_time": "9:36:15"}
143
+ {"current_steps": 143, "total_steps": 1230, "loss": 0.6783, "lr": 3.996779317598936e-05, "epoch": 0.5798276735935124, "percentage": 11.63, "elapsed_time": "1:15:49", "remaining_time": "9:36:24"}
144
+ {"current_steps": 144, "total_steps": 1230, "loss": 0.6601, "lr": 3.996449295365782e-05, "epoch": 0.5838824125696909, "percentage": 11.71, "elapsed_time": "1:16:26", "remaining_time": "9:36:29"}
145
+ {"current_steps": 145, "total_steps": 1230, "loss": 0.6777, "lr": 3.996103194004467e-05, "epoch": 0.5879371515458692, "percentage": 11.79, "elapsed_time": "1:16:53", "remaining_time": "9:35:21"}
146
+ {"current_steps": 146, "total_steps": 1230, "loss": 0.6761, "lr": 3.995741016302441e-05, "epoch": 0.5919918905220476, "percentage": 11.87, "elapsed_time": "1:17:32", "remaining_time": "9:35:45"}
147
+ {"current_steps": 147, "total_steps": 1230, "loss": 0.6701, "lr": 3.9953627651766364e-05, "epoch": 0.5960466294982261, "percentage": 11.95, "elapsed_time": "1:18:07", "remaining_time": "9:35:34"}
148
+ {"current_steps": 148, "total_steps": 1230, "loss": 0.706, "lr": 3.9949684436734325e-05, "epoch": 0.6001013684744044, "percentage": 12.03, "elapsed_time": "1:18:40", "remaining_time": "9:35:13"}
149
+ {"current_steps": 149, "total_steps": 1230, "loss": 0.6822, "lr": 3.994558054968643e-05, "epoch": 0.6041561074505829, "percentage": 12.11, "elapsed_time": "1:19:15", "remaining_time": "9:35:00"}
150
+ {"current_steps": 150, "total_steps": 1230, "loss": 0.7287, "lr": 3.994131602367481e-05, "epoch": 0.6082108464267613, "percentage": 12.2, "elapsed_time": "1:19:48", "remaining_time": "9:34:40"}
151
+ {"current_steps": 151, "total_steps": 1230, "loss": 0.6822, "lr": 3.9936890893045376e-05, "epoch": 0.6122655854029397, "percentage": 12.28, "elapsed_time": "1:20:22", "remaining_time": "9:34:16"}
152
+ {"current_steps": 152, "total_steps": 1230, "loss": 0.6833, "lr": 3.993230519343752e-05, "epoch": 0.6163203243791181, "percentage": 12.36, "elapsed_time": "1:20:56", "remaining_time": "9:34:00"}
153
+ {"current_steps": 153, "total_steps": 1230, "loss": 0.6715, "lr": 3.992755896178383e-05, "epoch": 0.6203750633552965, "percentage": 12.44, "elapsed_time": "1:21:33", "remaining_time": "9:34:09"}
154
+ {"current_steps": 154, "total_steps": 1230, "loss": 0.6841, "lr": 3.992265223630981e-05, "epoch": 0.6244298023314749, "percentage": 12.52, "elapsed_time": "1:22:06", "remaining_time": "9:33:44"}
155
+ {"current_steps": 155, "total_steps": 1230, "loss": 0.6792, "lr": 3.991758505653355e-05, "epoch": 0.6284845413076533, "percentage": 12.6, "elapsed_time": "1:22:36", "remaining_time": "9:32:52"}
156
+ {"current_steps": 156, "total_steps": 1230, "loss": 0.6498, "lr": 3.991235746326543e-05, "epoch": 0.6325392802838318, "percentage": 12.68, "elapsed_time": "1:23:04", "remaining_time": "9:31:55"}
157
+ {"current_steps": 157, "total_steps": 1230, "loss": 0.6456, "lr": 3.9906969498607745e-05, "epoch": 0.6365940192600101, "percentage": 12.76, "elapsed_time": "1:23:35", "remaining_time": "9:31:15"}
158
+ {"current_steps": 158, "total_steps": 1230, "loss": 0.6629, "lr": 3.990142120595444e-05, "epoch": 0.6406487582361885, "percentage": 12.85, "elapsed_time": "1:24:09", "remaining_time": "9:31:01"}
159
+ {"current_steps": 159, "total_steps": 1230, "loss": 0.6637, "lr": 3.98957126299907e-05, "epoch": 0.644703497212367, "percentage": 12.93, "elapsed_time": "1:24:40", "remaining_time": "9:30:21"}
160
+ {"current_steps": 160, "total_steps": 1230, "loss": 0.6549, "lr": 3.9889843816692596e-05, "epoch": 0.6487582361885453, "percentage": 13.01, "elapsed_time": "1:25:11", "remaining_time": "9:29:41"}
161
+ {"current_steps": 161, "total_steps": 1230, "loss": 0.6813, "lr": 3.9883814813326766e-05, "epoch": 0.6528129751647238, "percentage": 13.09, "elapsed_time": "1:25:42", "remaining_time": "9:29:04"}
162
+ {"current_steps": 162, "total_steps": 1230, "loss": 0.6602, "lr": 3.9877625668449956e-05, "epoch": 0.6568677141409022, "percentage": 13.17, "elapsed_time": "1:26:13", "remaining_time": "9:28:27"}
163
+ {"current_steps": 163, "total_steps": 1230, "loss": 0.6692, "lr": 3.98712764319087e-05, "epoch": 0.6609224531170805, "percentage": 13.25, "elapsed_time": "1:26:38", "remaining_time": "9:27:08"}
164
+ {"current_steps": 164, "total_steps": 1230, "loss": 0.668, "lr": 3.9864767154838864e-05, "epoch": 0.664977192093259, "percentage": 13.33, "elapsed_time": "1:27:05", "remaining_time": "9:26:04"}
165
+ {"current_steps": 165, "total_steps": 1230, "loss": 0.6727, "lr": 3.9858097889665277e-05, "epoch": 0.6690319310694374, "percentage": 13.41, "elapsed_time": "1:27:38", "remaining_time": "9:25:44"}
166
+ {"current_steps": 166, "total_steps": 1230, "loss": 0.6843, "lr": 3.985126869010129e-05, "epoch": 0.6730866700456158, "percentage": 13.5, "elapsed_time": "1:28:09", "remaining_time": "9:25:02"}
167
+ {"current_steps": 167, "total_steps": 1230, "loss": 0.6813, "lr": 3.984427961114833e-05, "epoch": 0.6771414090217942, "percentage": 13.58, "elapsed_time": "1:28:41", "remaining_time": "9:24:31"}
168
+ {"current_steps": 168, "total_steps": 1230, "loss": 0.6906, "lr": 3.9837130709095475e-05, "epoch": 0.6811961479979727, "percentage": 13.66, "elapsed_time": "1:29:16", "remaining_time": "9:24:18"}
169
+ {"current_steps": 169, "total_steps": 1230, "loss": 0.6988, "lr": 3.982982204151901e-05, "epoch": 0.685250886974151, "percentage": 13.74, "elapsed_time": "1:29:52", "remaining_time": "9:24:13"}
170
+ {"current_steps": 170, "total_steps": 1230, "loss": 0.6692, "lr": 3.982235366728193e-05, "epoch": 0.6893056259503294, "percentage": 13.82, "elapsed_time": "1:30:28", "remaining_time": "9:24:06"}
171
+ {"current_steps": 171, "total_steps": 1230, "loss": 0.6536, "lr": 3.9814725646533505e-05, "epoch": 0.6933603649265079, "percentage": 13.9, "elapsed_time": "1:30:54", "remaining_time": "9:23:02"}
172
+ {"current_steps": 172, "total_steps": 1230, "loss": 0.6961, "lr": 3.9806938040708746e-05, "epoch": 0.6974151039026862, "percentage": 13.98, "elapsed_time": "1:31:25", "remaining_time": "9:22:24"}
173
+ {"current_steps": 173, "total_steps": 1230, "loss": 0.6856, "lr": 3.9798990912527976e-05, "epoch": 0.7014698428788647, "percentage": 14.07, "elapsed_time": "1:31:59", "remaining_time": "9:22:00"}
174
+ {"current_steps": 174, "total_steps": 1230, "loss": 0.6828, "lr": 3.979088432599627e-05, "epoch": 0.7055245818550431, "percentage": 14.15, "elapsed_time": "1:32:28", "remaining_time": "9:21:15"}
175
+ {"current_steps": 175, "total_steps": 1230, "loss": 0.6637, "lr": 3.9782618346402964e-05, "epoch": 0.7095793208312214, "percentage": 14.23, "elapsed_time": "1:33:03", "remaining_time": "9:20:57"}
176
+ {"current_steps": 176, "total_steps": 1230, "loss": 0.6862, "lr": 3.977419304032111e-05, "epoch": 0.7136340598073999, "percentage": 14.31, "elapsed_time": "1:33:29", "remaining_time": "9:19:54"}
177
+ {"current_steps": 177, "total_steps": 1230, "loss": 0.6754, "lr": 3.976560847560697e-05, "epoch": 0.7176887987835783, "percentage": 14.39, "elapsed_time": "1:34:02", "remaining_time": "9:19:27"}
178
+ {"current_steps": 178, "total_steps": 1230, "loss": 0.658, "lr": 3.9756864721399456e-05, "epoch": 0.7217435377597567, "percentage": 14.47, "elapsed_time": "1:34:27", "remaining_time": "9:18:18"}
179
+ {"current_steps": 179, "total_steps": 1230, "loss": 0.6626, "lr": 3.974796184811956e-05, "epoch": 0.7257982767359351, "percentage": 14.55, "elapsed_time": "1:34:56", "remaining_time": "9:17:29"}
180
+ {"current_steps": 180, "total_steps": 1230, "loss": 0.6757, "lr": 3.973889992746979e-05, "epoch": 0.7298530157121136, "percentage": 14.63, "elapsed_time": "1:35:34", "remaining_time": "9:17:33"}
181
+ {"current_steps": 181, "total_steps": 1230, "loss": 0.6717, "lr": 3.972967903243361e-05, "epoch": 0.733907754688292, "percentage": 14.72, "elapsed_time": "1:36:07", "remaining_time": "9:17:07"}
182
+ {"current_steps": 182, "total_steps": 1230, "loss": 0.6582, "lr": 3.972029923727486e-05, "epoch": 0.7379624936644703, "percentage": 14.8, "elapsed_time": "1:36:39", "remaining_time": "9:16:36"}
183
+ {"current_steps": 183, "total_steps": 1230, "loss": 0.6474, "lr": 3.971076061753709e-05, "epoch": 0.7420172326406488, "percentage": 14.88, "elapsed_time": "1:37:11", "remaining_time": "9:16:04"}
184
+ {"current_steps": 184, "total_steps": 1230, "loss": 0.6707, "lr": 3.9701063250043066e-05, "epoch": 0.7460719716168271, "percentage": 14.96, "elapsed_time": "1:37:41", "remaining_time": "9:15:23"}
185
+ {"current_steps": 185, "total_steps": 1230, "loss": 0.6644, "lr": 3.969120721289402e-05, "epoch": 0.7501267105930056, "percentage": 15.04, "elapsed_time": "1:38:15", "remaining_time": "9:15:03"}
186
+ {"current_steps": 186, "total_steps": 1230, "loss": 0.6626, "lr": 3.9681192585469146e-05, "epoch": 0.754181449569184, "percentage": 15.12, "elapsed_time": "1:38:48", "remaining_time": "9:14:35"}
187
+ {"current_steps": 187, "total_steps": 1230, "loss": 0.6952, "lr": 3.9671019448424865e-05, "epoch": 0.7582361885453623, "percentage": 15.2, "elapsed_time": "1:39:20", "remaining_time": "9:14:05"}
188
+ {"current_steps": 188, "total_steps": 1230, "loss": 0.6643, "lr": 3.966068788369422e-05, "epoch": 0.7622909275215408, "percentage": 15.28, "elapsed_time": "1:39:46", "remaining_time": "9:12:59"}
189
+ {"current_steps": 189, "total_steps": 1230, "loss": 0.6915, "lr": 3.965019797448622e-05, "epoch": 0.7663456664977192, "percentage": 15.37, "elapsed_time": "1:40:27", "remaining_time": "9:13:16"}
190
+ {"current_steps": 190, "total_steps": 1230, "loss": 0.6494, "lr": 3.963954980528515e-05, "epoch": 0.7704004054738977, "percentage": 15.45, "elapsed_time": "1:41:01", "remaining_time": "9:12:57"}
191
+ {"current_steps": 191, "total_steps": 1230, "loss": 0.6596, "lr": 3.9628743461849905e-05, "epoch": 0.774455144450076, "percentage": 15.53, "elapsed_time": "1:41:37", "remaining_time": "9:12:47"}
192
+ {"current_steps": 192, "total_steps": 1230, "loss": 0.6445, "lr": 3.961777903121329e-05, "epoch": 0.7785098834262545, "percentage": 15.61, "elapsed_time": "1:42:07", "remaining_time": "9:12:07"}
193
+ {"current_steps": 193, "total_steps": 1230, "loss": 0.6867, "lr": 3.960665660168131e-05, "epoch": 0.7825646224024329, "percentage": 15.69, "elapsed_time": "1:42:37", "remaining_time": "9:11:22"}
194
+ {"current_steps": 194, "total_steps": 1230, "loss": 0.6863, "lr": 3.9595376262832485e-05, "epoch": 0.7866193613786112, "percentage": 15.77, "elapsed_time": "1:43:04", "remaining_time": "9:10:27"}
195
+ {"current_steps": 195, "total_steps": 1230, "loss": 0.6692, "lr": 3.9583938105517127e-05, "epoch": 0.7906741003547897, "percentage": 15.85, "elapsed_time": "1:43:33", "remaining_time": "9:09:38"}
196
+ {"current_steps": 196, "total_steps": 1230, "loss": 0.667, "lr": 3.957234222185657e-05, "epoch": 0.794728839330968, "percentage": 15.93, "elapsed_time": "1:44:11", "remaining_time": "9:09:41"}
197
+ {"current_steps": 197, "total_steps": 1230, "loss": 0.6626, "lr": 3.9560588705242474e-05, "epoch": 0.7987835783071465, "percentage": 16.02, "elapsed_time": "1:44:40", "remaining_time": "9:08:55"}
198
+ {"current_steps": 198, "total_steps": 1230, "loss": 0.6598, "lr": 3.954867765033605e-05, "epoch": 0.8028383172833249, "percentage": 16.1, "elapsed_time": "1:45:16", "remaining_time": "9:08:41"}
199
+ {"current_steps": 199, "total_steps": 1230, "loss": 0.6564, "lr": 3.953660915306728e-05, "epoch": 0.8068930562595032, "percentage": 16.18, "elapsed_time": "1:45:52", "remaining_time": "9:08:33"}
200
+ {"current_steps": 200, "total_steps": 1230, "loss": 0.6631, "lr": 3.952438331063419e-05, "epoch": 0.8109477952356817, "percentage": 16.26, "elapsed_time": "1:46:22", "remaining_time": "9:07:48"}
201
+ {"current_steps": 201, "total_steps": 1230, "loss": 0.6794, "lr": 3.951200022150205e-05, "epoch": 0.8150025342118601, "percentage": 16.34, "elapsed_time": "1:46:53", "remaining_time": "9:07:11"}
202
+ {"current_steps": 202, "total_steps": 1230, "loss": 0.6757, "lr": 3.949945998540253e-05, "epoch": 0.8190572731880386, "percentage": 16.42, "elapsed_time": "1:47:28", "remaining_time": "9:06:57"}
203
+ {"current_steps": 203, "total_steps": 1230, "loss": 0.6915, "lr": 3.9486762703332993e-05, "epoch": 0.8231120121642169, "percentage": 16.5, "elapsed_time": "1:47:57", "remaining_time": "9:06:10"}
204
+ {"current_steps": 204, "total_steps": 1230, "loss": 0.6586, "lr": 3.947390847755559e-05, "epoch": 0.8271667511403953, "percentage": 16.59, "elapsed_time": "1:48:22", "remaining_time": "9:05:04"}
205
+ {"current_steps": 205, "total_steps": 1230, "loss": 0.6542, "lr": 3.946089741159648e-05, "epoch": 0.8312214901165738, "percentage": 16.67, "elapsed_time": "1:48:54", "remaining_time": "9:04:34"}
206
+ {"current_steps": 206, "total_steps": 1230, "loss": 0.6562, "lr": 3.944772961024501e-05, "epoch": 0.8352762290927521, "percentage": 16.75, "elapsed_time": "1:49:23", "remaining_time": "9:03:47"}
207
+ {"current_steps": 207, "total_steps": 1230, "loss": 0.669, "lr": 3.943440517955285e-05, "epoch": 0.8393309680689306, "percentage": 16.83, "elapsed_time": "1:49:55", "remaining_time": "9:03:15"}
208
+ {"current_steps": 208, "total_steps": 1230, "loss": 0.6677, "lr": 3.9420924226833126e-05, "epoch": 0.843385707045109, "percentage": 16.91, "elapsed_time": "1:50:26", "remaining_time": "9:02:37"}
209
+ {"current_steps": 209, "total_steps": 1230, "loss": 0.662, "lr": 3.9407286860659566e-05, "epoch": 0.8474404460212874, "percentage": 16.99, "elapsed_time": "1:50:59", "remaining_time": "9:02:13"}
210
+ {"current_steps": 210, "total_steps": 1230, "loss": 0.6627, "lr": 3.9393493190865657e-05, "epoch": 0.8514951849974658, "percentage": 17.07, "elapsed_time": "1:51:26", "remaining_time": "9:01:18"}
211
+ {"current_steps": 211, "total_steps": 1230, "loss": 0.6558, "lr": 3.937954332854371e-05, "epoch": 0.8555499239736442, "percentage": 17.15, "elapsed_time": "1:51:57", "remaining_time": "9:00:42"}
212
+ {"current_steps": 212, "total_steps": 1230, "loss": 0.6754, "lr": 3.9365437386044016e-05, "epoch": 0.8596046629498226, "percentage": 17.24, "elapsed_time": "1:52:29", "remaining_time": "9:00:09"}
213
+ {"current_steps": 213, "total_steps": 1230, "loss": 0.6677, "lr": 3.935117547697387e-05, "epoch": 0.863659401926001, "percentage": 17.32, "elapsed_time": "1:53:01", "remaining_time": "8:59:40"}
214
+ {"current_steps": 214, "total_steps": 1230, "loss": 0.6727, "lr": 3.933675771619675e-05, "epoch": 0.8677141409021795, "percentage": 17.4, "elapsed_time": "1:53:38", "remaining_time": "8:59:31"}
215
+ {"current_steps": 215, "total_steps": 1230, "loss": 0.681, "lr": 3.932218421983131e-05, "epoch": 0.8717688798783578, "percentage": 17.48, "elapsed_time": "1:54:06", "remaining_time": "8:58:44"}
216
+ {"current_steps": 216, "total_steps": 1230, "loss": 0.6759, "lr": 3.9307455105250484e-05, "epoch": 0.8758236188545362, "percentage": 17.56, "elapsed_time": "1:54:37", "remaining_time": "8:58:07"}
217
+ {"current_steps": 217, "total_steps": 1230, "loss": 0.6387, "lr": 3.929257049108054e-05, "epoch": 0.8798783578307147, "percentage": 17.64, "elapsed_time": "1:55:07", "remaining_time": "8:57:25"}
218
+ {"current_steps": 218, "total_steps": 1230, "loss": 0.6519, "lr": 3.927753049720011e-05, "epoch": 0.883933096806893, "percentage": 17.72, "elapsed_time": "1:55:41", "remaining_time": "8:57:05"}
219
+ {"current_steps": 219, "total_steps": 1230, "loss": 0.6928, "lr": 3.9262335244739234e-05, "epoch": 0.8879878357830715, "percentage": 17.8, "elapsed_time": "1:56:15", "remaining_time": "8:56:43"}
220
+ {"current_steps": 220, "total_steps": 1230, "loss": 0.6468, "lr": 3.92469848560784e-05, "epoch": 0.8920425747592499, "percentage": 17.89, "elapsed_time": "1:56:53", "remaining_time": "8:56:36"}
221
+ {"current_steps": 221, "total_steps": 1230, "loss": 0.6565, "lr": 3.923147945484751e-05, "epoch": 0.8960973137354283, "percentage": 17.97, "elapsed_time": "1:57:25", "remaining_time": "8:56:06"}
222
+ {"current_steps": 222, "total_steps": 1230, "loss": 0.6627, "lr": 3.9215819165924956e-05, "epoch": 0.9001520527116067, "percentage": 18.05, "elapsed_time": "1:57:57", "remaining_time": "8:55:33"}
223
+ {"current_steps": 223, "total_steps": 1230, "loss": 0.6728, "lr": 3.920000411543654e-05, "epoch": 0.9042067916877851, "percentage": 18.13, "elapsed_time": "1:58:23", "remaining_time": "8:54:37"}
224
+ {"current_steps": 224, "total_steps": 1230, "loss": 0.6403, "lr": 3.9184034430754495e-05, "epoch": 0.9082615306639635, "percentage": 18.21, "elapsed_time": "1:58:54", "remaining_time": "8:54:00"}
225
+ {"current_steps": 225, "total_steps": 1230, "loss": 0.6902, "lr": 3.916791024049648e-05, "epoch": 0.9123162696401419, "percentage": 18.29, "elapsed_time": "1:59:23", "remaining_time": "8:53:18"}
226
+ {"current_steps": 226, "total_steps": 1230, "loss": 0.6747, "lr": 3.91516316745245e-05, "epoch": 0.9163710086163204, "percentage": 18.37, "elapsed_time": "1:59:57", "remaining_time": "8:52:54"}
227
+ {"current_steps": 227, "total_steps": 1230, "loss": 0.6422, "lr": 3.913519886394389e-05, "epoch": 0.9204257475924987, "percentage": 18.46, "elapsed_time": "2:00:29", "remaining_time": "8:52:22"}
228
+ {"current_steps": 228, "total_steps": 1230, "loss": 0.6558, "lr": 3.911861194110225e-05, "epoch": 0.9244804865686771, "percentage": 18.54, "elapsed_time": "2:01:03", "remaining_time": "8:52:01"}
229
+ {"current_steps": 229, "total_steps": 1230, "loss": 0.7023, "lr": 3.910187103958837e-05, "epoch": 0.9285352255448556, "percentage": 18.62, "elapsed_time": "2:01:32", "remaining_time": "8:51:18"}
230
+ {"current_steps": 230, "total_steps": 1230, "loss": 0.6598, "lr": 3.908497629423117e-05, "epoch": 0.9325899645210339, "percentage": 18.7, "elapsed_time": "2:02:00", "remaining_time": "8:50:30"}
231
+ {"current_steps": 231, "total_steps": 1230, "loss": 0.6672, "lr": 3.9067927841098614e-05, "epoch": 0.9366447034972124, "percentage": 18.78, "elapsed_time": "2:02:31", "remaining_time": "8:49:54"}
232
+ {"current_steps": 232, "total_steps": 1230, "loss": 0.6554, "lr": 3.9050725817496594e-05, "epoch": 0.9406994424733908, "percentage": 18.86, "elapsed_time": "2:03:00", "remaining_time": "8:49:10"}
233
+ {"current_steps": 233, "total_steps": 1230, "loss": 0.6797, "lr": 3.9033370361967844e-05, "epoch": 0.9447541814495691, "percentage": 18.94, "elapsed_time": "2:03:32", "remaining_time": "8:48:37"}
234
+ {"current_steps": 234, "total_steps": 1230, "loss": 0.6525, "lr": 3.901586161429081e-05, "epoch": 0.9488089204257476, "percentage": 19.02, "elapsed_time": "2:04:07", "remaining_time": "8:48:21"}
235
+ {"current_steps": 235, "total_steps": 1230, "loss": 0.6587, "lr": 3.8998199715478545e-05, "epoch": 0.952863659401926, "percentage": 19.11, "elapsed_time": "2:04:40", "remaining_time": "8:47:54"}
236
+ {"current_steps": 236, "total_steps": 1230, "loss": 0.6731, "lr": 3.8980384807777564e-05, "epoch": 0.9569183983781044, "percentage": 19.19, "elapsed_time": "2:05:15", "remaining_time": "8:47:34"}
237
+ {"current_steps": 237, "total_steps": 1230, "loss": 0.668, "lr": 3.896241703466667e-05, "epoch": 0.9609731373542828, "percentage": 19.27, "elapsed_time": "2:05:51", "remaining_time": "8:47:18"}
238
+ {"current_steps": 238, "total_steps": 1230, "loss": 0.6512, "lr": 3.894429654085585e-05, "epoch": 0.9650278763304613, "percentage": 19.35, "elapsed_time": "2:06:22", "remaining_time": "8:46:44"}
239
+ {"current_steps": 239, "total_steps": 1230, "loss": 0.6656, "lr": 3.892602347228505e-05, "epoch": 0.9690826153066396, "percentage": 19.43, "elapsed_time": "2:06:50", "remaining_time": "8:45:58"}
240
+ {"current_steps": 240, "total_steps": 1230, "loss": 0.6786, "lr": 3.890759797612307e-05, "epoch": 0.973137354282818, "percentage": 19.51, "elapsed_time": "2:07:18", "remaining_time": "8:45:08"}
241
+ {"current_steps": 241, "total_steps": 1230, "loss": 0.6521, "lr": 3.888902020076632e-05, "epoch": 0.9771920932589965, "percentage": 19.59, "elapsed_time": "2:07:52", "remaining_time": "8:44:45"}
242
+ {"current_steps": 242, "total_steps": 1230, "loss": 0.6472, "lr": 3.887029029583764e-05, "epoch": 0.9812468322351748, "percentage": 19.67, "elapsed_time": "2:08:26", "remaining_time": "8:44:21"}
243
+ {"current_steps": 243, "total_steps": 1230, "loss": 0.6488, "lr": 3.8851408412185125e-05, "epoch": 0.9853015712113533, "percentage": 19.76, "elapsed_time": "2:08:58", "remaining_time": "8:43:52"}
244
+ {"current_steps": 244, "total_steps": 1230, "loss": 0.6657, "lr": 3.8832374701880855e-05, "epoch": 0.9893563101875317, "percentage": 19.84, "elapsed_time": "2:09:30", "remaining_time": "8:43:18"}
245
+ {"current_steps": 245, "total_steps": 1230, "loss": 0.648, "lr": 3.881318931821972e-05, "epoch": 0.99341104916371, "percentage": 19.92, "elapsed_time": "2:09:53", "remaining_time": "8:42:14"}
246
+ {"current_steps": 246, "total_steps": 1230, "loss": 0.6684, "lr": 3.879385241571817e-05, "epoch": 0.9974657881398885, "percentage": 20.0, "elapsed_time": "2:10:33", "remaining_time": "8:42:12"}
247
+ {"current_steps": 247, "total_steps": 1230, "loss": 0.5734, "lr": 3.8774364150112955e-05, "epoch": 1.0030410542321337, "percentage": 20.08, "elapsed_time": "2:13:07", "remaining_time": "8:49:48"}
248
+ {"current_steps": 248, "total_steps": 1230, "loss": 0.5413, "lr": 3.8754724678359884e-05, "epoch": 1.0070957932083122, "percentage": 20.16, "elapsed_time": "2:13:43", "remaining_time": "8:49:30"}
249
+ {"current_steps": 249, "total_steps": 1230, "loss": 0.5414, "lr": 3.873493415863256e-05, "epoch": 1.0111505321844907, "percentage": 20.24, "elapsed_time": "2:14:15", "remaining_time": "8:48:56"}
250
+ {"current_steps": 250, "total_steps": 1230, "loss": 0.5532, "lr": 3.871499275032111e-05, "epoch": 1.015205271160669, "percentage": 20.33, "elapsed_time": "2:14:48", "remaining_time": "8:48:26"}
251
+ {"current_steps": 251, "total_steps": 1230, "loss": 0.5583, "lr": 3.869490061403091e-05, "epoch": 1.0192600101368474, "percentage": 20.41, "elapsed_time": "2:15:16", "remaining_time": "8:47:38"}
training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:899f0e3d8616ff6228f79676008d1e137cdba93a53511121dcc7dadf33f7f2f5
3
+ size 7224
vocab.json ADDED
The diff for this file is too large to render. See raw diff