sedrickkeh commited on
Commit
eeae2dc
·
verified ·
1 Parent(s): d610ccd

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:f0b4123fe0961dd71215e02bbd5cab62e6ca006af60de97071ef86096eb5ad3e
3
+ size 4877660776
model-00002-of-00004.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:6277599adfd6f662180bc43b3ab59c90d2828f3cece67a1c84468bff42a0f2b5
3
+ size 4932751008
model-00003-of-00004.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:00186ad853b3b630b63b0a56857fc26e84aaa19ae2ef6b6453776483297b39ad
3
+ size 4330865200
model-00004-of-00004.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:03e9705559872829427a6f53c903396114a223f3957eb4bf42aaff680ebbea48
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 +1,92 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {"current_steps": 1, "total_steps": 455, "loss": 0.872, "lr": 1.7391304347826088e-06, "epoch": 0.010884353741496598, "percentage": 0.22, "elapsed_time": "0:04:31", "remaining_time": "1 day, 10:13:12"}
2
+ {"current_steps": 2, "total_steps": 455, "loss": 0.851, "lr": 3.4782608695652175e-06, "epoch": 0.021768707482993196, "percentage": 0.44, "elapsed_time": "0:08:12", "remaining_time": "1 day, 7:00:19"}
3
+ {"current_steps": 3, "total_steps": 455, "loss": 0.8568, "lr": 5.2173913043478265e-06, "epoch": 0.0326530612244898, "percentage": 0.66, "elapsed_time": "0:11:54", "remaining_time": "1 day, 5:54:09"}
4
+ {"current_steps": 4, "total_steps": 455, "loss": 0.8166, "lr": 6.956521739130435e-06, "epoch": 0.04353741496598639, "percentage": 0.88, "elapsed_time": "0:15:35", "remaining_time": "1 day, 5:17:34"}
5
+ {"current_steps": 5, "total_steps": 455, "loss": 0.7738, "lr": 8.695652173913044e-06, "epoch": 0.05442176870748299, "percentage": 1.1, "elapsed_time": "0:19:16", "remaining_time": "1 day, 4:54:39"}
6
+ {"current_steps": 6, "total_steps": 455, "loss": 0.778, "lr": 1.0434782608695653e-05, "epoch": 0.0653061224489796, "percentage": 1.32, "elapsed_time": "0:22:57", "remaining_time": "1 day, 4:38:24"}
7
+ {"current_steps": 7, "total_steps": 455, "loss": 0.7837, "lr": 1.2173913043478263e-05, "epoch": 0.0761904761904762, "percentage": 1.54, "elapsed_time": "0:26:38", "remaining_time": "1 day, 4:25:11"}
8
+ {"current_steps": 8, "total_steps": 455, "loss": 0.7412, "lr": 1.391304347826087e-05, "epoch": 0.08707482993197278, "percentage": 1.76, "elapsed_time": "0:30:19", "remaining_time": "1 day, 4:14:33"}
9
+ {"current_steps": 9, "total_steps": 455, "loss": 0.7248, "lr": 1.565217391304348e-05, "epoch": 0.09795918367346938, "percentage": 1.98, "elapsed_time": "0:34:00", "remaining_time": "1 day, 4:04:56"}
10
+ {"current_steps": 10, "total_steps": 455, "loss": 0.7153, "lr": 1.739130434782609e-05, "epoch": 0.10884353741496598, "percentage": 2.2, "elapsed_time": "0:37:40", "remaining_time": "1 day, 3:56:46"}
11
+ {"current_steps": 11, "total_steps": 455, "loss": 0.6763, "lr": 1.9130434782608697e-05, "epoch": 0.11972789115646258, "percentage": 2.42, "elapsed_time": "0:41:21", "remaining_time": "1 day, 3:49:37"}
12
+ {"current_steps": 12, "total_steps": 455, "loss": 0.6582, "lr": 2.0869565217391306e-05, "epoch": 0.1306122448979592, "percentage": 2.64, "elapsed_time": "0:45:02", "remaining_time": "1 day, 3:43:03"}
13
+ {"current_steps": 13, "total_steps": 455, "loss": 0.6376, "lr": 2.2608695652173914e-05, "epoch": 0.1414965986394558, "percentage": 2.86, "elapsed_time": "0:48:44", "remaining_time": "1 day, 3:37:02"}
14
+ {"current_steps": 14, "total_steps": 455, "loss": 0.6266, "lr": 2.4347826086956526e-05, "epoch": 0.1523809523809524, "percentage": 3.08, "elapsed_time": "0:52:25", "remaining_time": "1 day, 3:31:17"}
15
+ {"current_steps": 15, "total_steps": 455, "loss": 0.6091, "lr": 2.608695652173913e-05, "epoch": 0.16326530612244897, "percentage": 3.3, "elapsed_time": "0:56:06", "remaining_time": "1 day, 3:25:47"}
16
+ {"current_steps": 16, "total_steps": 455, "loss": 0.5957, "lr": 2.782608695652174e-05, "epoch": 0.17414965986394557, "percentage": 3.52, "elapsed_time": "0:59:47", "remaining_time": "1 day, 3:20:34"}
17
+ {"current_steps": 17, "total_steps": 455, "loss": 0.6085, "lr": 2.956521739130435e-05, "epoch": 0.18503401360544217, "percentage": 3.74, "elapsed_time": "1:03:28", "remaining_time": "1 day, 3:15:26"}
18
+ {"current_steps": 18, "total_steps": 455, "loss": 0.6002, "lr": 3.130434782608696e-05, "epoch": 0.19591836734693877, "percentage": 3.96, "elapsed_time": "1:07:09", "remaining_time": "1 day, 3:10:30"}
19
+ {"current_steps": 19, "total_steps": 455, "loss": 0.585, "lr": 3.304347826086957e-05, "epoch": 0.20680272108843537, "percentage": 4.18, "elapsed_time": "1:10:50", "remaining_time": "1 day, 3:05:45"}
20
+ {"current_steps": 20, "total_steps": 455, "loss": 0.573, "lr": 3.478260869565218e-05, "epoch": 0.21768707482993196, "percentage": 4.4, "elapsed_time": "1:14:31", "remaining_time": "1 day, 3:01:03"}
21
+ {"current_steps": 21, "total_steps": 455, "loss": 0.5681, "lr": 3.6521739130434786e-05, "epoch": 0.22857142857142856, "percentage": 4.62, "elapsed_time": "1:18:13", "remaining_time": "1 day, 2:56:30"}
22
+ {"current_steps": 22, "total_steps": 455, "loss": 0.5756, "lr": 3.8260869565217395e-05, "epoch": 0.23945578231292516, "percentage": 4.84, "elapsed_time": "1:21:54", "remaining_time": "1 day, 2:51:59"}
23
+ {"current_steps": 23, "total_steps": 455, "loss": 0.5697, "lr": 4e-05, "epoch": 0.2503401360544218, "percentage": 5.05, "elapsed_time": "1:25:35", "remaining_time": "1 day, 2:47:39"}
24
+ {"current_steps": 24, "total_steps": 455, "loss": 0.5648, "lr": 4.173913043478261e-05, "epoch": 0.2612244897959184, "percentage": 5.27, "elapsed_time": "1:29:15", "remaining_time": "1 day, 2:42:58"}
25
+ {"current_steps": 25, "total_steps": 455, "loss": 0.563, "lr": 4.347826086956522e-05, "epoch": 0.272108843537415, "percentage": 5.49, "elapsed_time": "1:32:56", "remaining_time": "1 day, 2:38:38"}
26
+ {"current_steps": 26, "total_steps": 455, "loss": 0.5537, "lr": 4.521739130434783e-05, "epoch": 0.2829931972789116, "percentage": 5.71, "elapsed_time": "1:36:36", "remaining_time": "1 day, 2:34:09"}
27
+ {"current_steps": 27, "total_steps": 455, "loss": 0.5454, "lr": 4.6956521739130444e-05, "epoch": 0.2938775510204082, "percentage": 5.93, "elapsed_time": "1:40:17", "remaining_time": "1 day, 2:29:41"}
28
+ {"current_steps": 28, "total_steps": 455, "loss": 0.5565, "lr": 4.869565217391305e-05, "epoch": 0.3047619047619048, "percentage": 6.15, "elapsed_time": "1:43:57", "remaining_time": "1 day, 2:25:27"}
29
+ {"current_steps": 29, "total_steps": 455, "loss": 0.562, "lr": 5.043478260869566e-05, "epoch": 0.31564625850340133, "percentage": 6.37, "elapsed_time": "1:47:38", "remaining_time": "1 day, 2:21:15"}
30
+ {"current_steps": 30, "total_steps": 455, "loss": 0.5407, "lr": 5.217391304347826e-05, "epoch": 0.32653061224489793, "percentage": 6.59, "elapsed_time": "1:51:19", "remaining_time": "1 day, 2:17:00"}
31
+ {"current_steps": 31, "total_steps": 455, "loss": 0.5428, "lr": 5.391304347826087e-05, "epoch": 0.33741496598639453, "percentage": 6.81, "elapsed_time": "1:55:00", "remaining_time": "1 day, 2:12:55"}
32
+ {"current_steps": 32, "total_steps": 455, "loss": 0.5485, "lr": 5.565217391304348e-05, "epoch": 0.34829931972789113, "percentage": 7.03, "elapsed_time": "1:58:40", "remaining_time": "1 day, 2:08:48"}
33
+ {"current_steps": 33, "total_steps": 455, "loss": 0.525, "lr": 5.739130434782609e-05, "epoch": 0.35918367346938773, "percentage": 7.25, "elapsed_time": "2:02:22", "remaining_time": "1 day, 2:04:50"}
34
+ {"current_steps": 34, "total_steps": 455, "loss": 0.5426, "lr": 5.91304347826087e-05, "epoch": 0.37006802721088433, "percentage": 7.47, "elapsed_time": "2:06:03", "remaining_time": "1 day, 2:00:47"}
35
+ {"current_steps": 35, "total_steps": 455, "loss": 0.5331, "lr": 6.086956521739131e-05, "epoch": 0.38095238095238093, "percentage": 7.69, "elapsed_time": "2:09:43", "remaining_time": "1 day, 1:56:46"}
36
+ {"current_steps": 36, "total_steps": 455, "loss": 0.5279, "lr": 6.260869565217392e-05, "epoch": 0.39183673469387753, "percentage": 7.91, "elapsed_time": "2:13:24", "remaining_time": "1 day, 1:52:45"}
37
+ {"current_steps": 37, "total_steps": 455, "loss": 0.527, "lr": 6.434782608695653e-05, "epoch": 0.40272108843537413, "percentage": 8.13, "elapsed_time": "2:17:06", "remaining_time": "1 day, 1:48:55"}
38
+ {"current_steps": 38, "total_steps": 455, "loss": 0.5276, "lr": 6.608695652173914e-05, "epoch": 0.41360544217687073, "percentage": 8.35, "elapsed_time": "2:20:47", "remaining_time": "1 day, 1:44:59"}
39
+ {"current_steps": 39, "total_steps": 455, "loss": 0.5232, "lr": 6.782608695652175e-05, "epoch": 0.42448979591836733, "percentage": 8.57, "elapsed_time": "2:24:28", "remaining_time": "1 day, 1:41:02"}
40
+ {"current_steps": 40, "total_steps": 455, "loss": 0.529, "lr": 6.956521739130436e-05, "epoch": 0.43537414965986393, "percentage": 8.79, "elapsed_time": "2:28:09", "remaining_time": "1 day, 1:37:09"}
41
+ {"current_steps": 41, "total_steps": 455, "loss": 0.5286, "lr": 7.130434782608696e-05, "epoch": 0.44625850340136053, "percentage": 9.01, "elapsed_time": "2:31:49", "remaining_time": "1 day, 1:33:08"}
42
+ {"current_steps": 42, "total_steps": 455, "loss": 0.5302, "lr": 7.304347826086957e-05, "epoch": 0.45714285714285713, "percentage": 9.23, "elapsed_time": "2:35:30", "remaining_time": "1 day, 1:29:11"}
43
+ {"current_steps": 43, "total_steps": 455, "loss": 0.5239, "lr": 7.478260869565218e-05, "epoch": 0.46802721088435373, "percentage": 9.45, "elapsed_time": "2:39:11", "remaining_time": "1 day, 1:25:18"}
44
+ {"current_steps": 44, "total_steps": 455, "loss": 0.5279, "lr": 7.652173913043479e-05, "epoch": 0.47891156462585033, "percentage": 9.67, "elapsed_time": "2:42:52", "remaining_time": "1 day, 1:21:25"}
45
+ {"current_steps": 45, "total_steps": 455, "loss": 0.5241, "lr": 7.82608695652174e-05, "epoch": 0.4897959183673469, "percentage": 9.89, "elapsed_time": "2:46:33", "remaining_time": "1 day, 1:17:32"}
46
+ {"current_steps": 46, "total_steps": 455, "loss": 0.5249, "lr": 8e-05, "epoch": 0.5006802721088436, "percentage": 10.11, "elapsed_time": "2:50:13", "remaining_time": "1 day, 1:13:35"}
47
+ {"current_steps": 47, "total_steps": 455, "loss": 0.5154, "lr": 7.999882000276476e-05, "epoch": 0.5115646258503401, "percentage": 10.33, "elapsed_time": "2:53:55", "remaining_time": "1 day, 1:09:45"}
48
+ {"current_steps": 48, "total_steps": 455, "loss": 0.5152, "lr": 7.999528008067867e-05, "epoch": 0.5224489795918368, "percentage": 10.55, "elapsed_time": "2:57:36", "remaining_time": "1 day, 1:05:57"}
49
+ {"current_steps": 49, "total_steps": 455, "loss": 0.5085, "lr": 7.998938044259668e-05, "epoch": 0.5333333333333333, "percentage": 10.77, "elapsed_time": "3:01:17", "remaining_time": "1 day, 1:02:05"}
50
+ {"current_steps": 50, "total_steps": 455, "loss": 0.5121, "lr": 7.99811214365966e-05, "epoch": 0.54421768707483, "percentage": 10.99, "elapsed_time": "3:04:58", "remaining_time": "1 day, 0:58:13"}
51
+ {"current_steps": 51, "total_steps": 455, "loss": 0.5095, "lr": 7.997050354995864e-05, "epoch": 0.5551020408163265, "percentage": 11.21, "elapsed_time": "3:08:39", "remaining_time": "1 day, 0:54:25"}
52
+ {"current_steps": 52, "total_steps": 455, "loss": 0.5207, "lr": 7.995752740913666e-05, "epoch": 0.5659863945578232, "percentage": 11.43, "elapsed_time": "3:12:20", "remaining_time": "1 day, 0:50:37"}
53
+ {"current_steps": 53, "total_steps": 455, "loss": 0.5321, "lr": 7.994219377972118e-05, "epoch": 0.5768707482993197, "percentage": 11.65, "elapsed_time": "3:16:00", "remaining_time": "1 day, 0:46:45"}
54
+ {"current_steps": 54, "total_steps": 455, "loss": 0.522, "lr": 7.992450356639418e-05, "epoch": 0.5877551020408164, "percentage": 11.87, "elapsed_time": "3:19:42", "remaining_time": "1 day, 0:42:59"}
55
+ {"current_steps": 55, "total_steps": 455, "loss": 0.5303, "lr": 7.990445781287584e-05, "epoch": 0.5986394557823129, "percentage": 12.09, "elapsed_time": "3:23:23", "remaining_time": "1 day, 0:39:09"}
56
+ {"current_steps": 56, "total_steps": 455, "loss": 0.5228, "lr": 7.988205770186282e-05, "epoch": 0.6095238095238096, "percentage": 12.31, "elapsed_time": "3:27:04", "remaining_time": "1 day, 0:35:22"}
57
+ {"current_steps": 57, "total_steps": 455, "loss": 0.5102, "lr": 7.985730455495858e-05, "epoch": 0.6204081632653061, "percentage": 12.53, "elapsed_time": "3:30:45", "remaining_time": "1 day, 0:31:36"}
58
+ {"current_steps": 58, "total_steps": 455, "loss": 0.5102, "lr": 7.983019983259538e-05, "epoch": 0.6312925170068027, "percentage": 12.75, "elapsed_time": "3:34:25", "remaining_time": "1 day, 0:27:43"}
59
+ {"current_steps": 59, "total_steps": 455, "loss": 0.5295, "lr": 7.980074513394808e-05, "epoch": 0.6421768707482993, "percentage": 12.97, "elapsed_time": "3:38:06", "remaining_time": "1 day, 0:23:58"}
60
+ {"current_steps": 60, "total_steps": 455, "loss": 0.5171, "lr": 7.976894219683982e-05, "epoch": 0.6530612244897959, "percentage": 13.19, "elapsed_time": "3:41:47", "remaining_time": "1 day, 0:20:07"}
61
+ {"current_steps": 61, "total_steps": 455, "loss": 0.5125, "lr": 7.97347928976395e-05, "epoch": 0.6639455782312925, "percentage": 13.41, "elapsed_time": "3:45:28", "remaining_time": "1 day, 0:16:22"}
62
+ {"current_steps": 62, "total_steps": 455, "loss": 0.5046, "lr": 7.969829925115106e-05, "epoch": 0.6748299319727891, "percentage": 13.63, "elapsed_time": "3:49:09", "remaining_time": "1 day, 0:12:36"}
63
+ {"current_steps": 63, "total_steps": 455, "loss": 0.5135, "lr": 7.96594634104946e-05, "epoch": 0.6857142857142857, "percentage": 13.85, "elapsed_time": "3:52:51", "remaining_time": "1 day, 0:08:53"}
64
+ {"current_steps": 64, "total_steps": 455, "loss": 0.4996, "lr": 7.961828766697934e-05, "epoch": 0.6965986394557823, "percentage": 14.07, "elapsed_time": "3:56:32", "remaining_time": "1 day, 0:05:08"}
65
+ {"current_steps": 65, "total_steps": 455, "loss": 0.4991, "lr": 7.957477444996846e-05, "epoch": 0.7074829931972789, "percentage": 14.29, "elapsed_time": "4:00:13", "remaining_time": "1 day, 0:01:18"}
66
+ {"current_steps": 66, "total_steps": 455, "loss": 0.5142, "lr": 7.952892632673575e-05, "epoch": 0.7183673469387755, "percentage": 14.51, "elapsed_time": "4:03:54", "remaining_time": "23:57:34"}
67
+ {"current_steps": 67, "total_steps": 455, "loss": 0.4975, "lr": 7.948074600231413e-05, "epoch": 0.7292517006802721, "percentage": 14.73, "elapsed_time": "4:07:35", "remaining_time": "23:53:47"}
68
+ {"current_steps": 68, "total_steps": 455, "loss": 0.5041, "lr": 7.943023631933609e-05, "epoch": 0.7401360544217687, "percentage": 14.95, "elapsed_time": "4:11:16", "remaining_time": "23:50:01"}
69
+ {"current_steps": 69, "total_steps": 455, "loss": 0.5027, "lr": 7.937740025786595e-05, "epoch": 0.7510204081632653, "percentage": 15.16, "elapsed_time": "4:14:57", "remaining_time": "23:46:15"}
70
+ {"current_steps": 70, "total_steps": 455, "loss": 0.4919, "lr": 7.932224093522403e-05, "epoch": 0.7619047619047619, "percentage": 15.38, "elapsed_time": "4:18:38", "remaining_time": "23:42:32"}
71
+ {"current_steps": 71, "total_steps": 455, "loss": 0.496, "lr": 7.926476160580272e-05, "epoch": 0.7727891156462585, "percentage": 15.6, "elapsed_time": "4:22:19", "remaining_time": "23:38:48"}
72
+ {"current_steps": 72, "total_steps": 455, "loss": 0.4928, "lr": 7.920496566087454e-05, "epoch": 0.7836734693877551, "percentage": 15.82, "elapsed_time": "4:26:00", "remaining_time": "23:35:03"}
73
+ {"current_steps": 73, "total_steps": 455, "loss": 0.4992, "lr": 7.914285662839197e-05, "epoch": 0.7945578231292517, "percentage": 16.04, "elapsed_time": "4:29:41", "remaining_time": "23:31:16"}
74
+ {"current_steps": 74, "total_steps": 455, "loss": 0.4873, "lr": 7.907843817277931e-05, "epoch": 0.8054421768707483, "percentage": 16.26, "elapsed_time": "4:33:22", "remaining_time": "23:27:30"}
75
+ {"current_steps": 75, "total_steps": 455, "loss": 0.4932, "lr": 7.901171409471658e-05, "epoch": 0.8163265306122449, "percentage": 16.48, "elapsed_time": "4:37:03", "remaining_time": "23:23:45"}
76
+ {"current_steps": 76, "total_steps": 455, "loss": 0.4971, "lr": 7.894268833091514e-05, "epoch": 0.8272108843537415, "percentage": 16.7, "elapsed_time": "4:40:44", "remaining_time": "23:20:03"}
77
+ {"current_steps": 77, "total_steps": 455, "loss": 0.497, "lr": 7.887136495388551e-05, "epoch": 0.8380952380952381, "percentage": 16.92, "elapsed_time": "4:44:25", "remaining_time": "23:16:18"}
78
+ {"current_steps": 78, "total_steps": 455, "loss": 0.4911, "lr": 7.879774817169707e-05, "epoch": 0.8489795918367347, "percentage": 17.14, "elapsed_time": "4:48:06", "remaining_time": "23:12:32"}
79
+ {"current_steps": 79, "total_steps": 455, "loss": 0.5038, "lr": 7.872184232772979e-05, "epoch": 0.8598639455782313, "percentage": 17.36, "elapsed_time": "4:51:47", "remaining_time": "23:08:48"}
80
+ {"current_steps": 80, "total_steps": 455, "loss": 0.4996, "lr": 7.8643651900418e-05, "epoch": 0.8707482993197279, "percentage": 17.58, "elapsed_time": "4:55:29", "remaining_time": "23:05:05"}
81
+ {"current_steps": 81, "total_steps": 455, "loss": 0.4929, "lr": 7.856318150298608e-05, "epoch": 0.8816326530612245, "percentage": 17.8, "elapsed_time": "4:59:10", "remaining_time": "23:01:21"}
82
+ {"current_steps": 82, "total_steps": 455, "loss": 0.4806, "lr": 7.848043588317636e-05, "epoch": 0.8925170068027211, "percentage": 18.02, "elapsed_time": "5:02:51", "remaining_time": "22:57:36"}
83
+ {"current_steps": 83, "total_steps": 455, "loss": 0.4913, "lr": 7.839541992296897e-05, "epoch": 0.9034013605442177, "percentage": 18.24, "elapsed_time": "5:06:32", "remaining_time": "22:53:52"}
84
+ {"current_steps": 84, "total_steps": 455, "loss": 0.4874, "lr": 7.830813863829381e-05, "epoch": 0.9142857142857143, "percentage": 18.46, "elapsed_time": "5:10:12", "remaining_time": "22:50:05"}
85
+ {"current_steps": 85, "total_steps": 455, "loss": 0.4952, "lr": 7.82185971787346e-05, "epoch": 0.9251700680272109, "percentage": 18.68, "elapsed_time": "5:13:53", "remaining_time": "22:46:22"}
86
+ {"current_steps": 86, "total_steps": 455, "loss": 0.4925, "lr": 7.81268008272251e-05, "epoch": 0.9360544217687075, "percentage": 18.9, "elapsed_time": "5:17:34", "remaining_time": "22:42:38"}
87
+ {"current_steps": 87, "total_steps": 455, "loss": 0.4878, "lr": 7.803275499973733e-05, "epoch": 0.9469387755102041, "percentage": 19.12, "elapsed_time": "5:21:15", "remaining_time": "22:38:54"}
88
+ {"current_steps": 88, "total_steps": 455, "loss": 0.4907, "lr": 7.793646524496214e-05, "epoch": 0.9578231292517007, "percentage": 19.34, "elapsed_time": "5:24:56", "remaining_time": "22:35:11"}
89
+ {"current_steps": 89, "total_steps": 455, "loss": 0.4875, "lr": 7.783793724398172e-05, "epoch": 0.9687074829931973, "percentage": 19.56, "elapsed_time": "5:28:38", "remaining_time": "22:31:28"}
90
+ {"current_steps": 90, "total_steps": 455, "loss": 0.4929, "lr": 7.773717680993454e-05, "epoch": 0.9795918367346939, "percentage": 19.78, "elapsed_time": "5:32:19", "remaining_time": "22:27:45"}
91
+ {"current_steps": 91, "total_steps": 455, "loss": 0.4822, "lr": 7.763418988767225e-05, "epoch": 0.9904761904761905, "percentage": 20.0, "elapsed_time": "5:36:00", "remaining_time": "22:24:03"}
92
+ {"current_steps": 92, "total_steps": 455, "loss": 0.6339, "lr": 7.752898255340904e-05, "epoch": 1.0034013605442176, "percentage": 20.22, "elapsed_time": "5:41:26", "remaining_time": "22:27:11"}
training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:381ccffa9f008b25d51033273151645a23e393df95703c36b60ddf94be4a044d
3
+ size 7160
vocab.json ADDED
The diff for this file is too large to render. See raw diff