sedrickkeh commited on
Commit
f4777ae
·
verified ·
1 Parent(s): 2be3249

Training in progress, step 100

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 sha256:48688135165ccf9ff41b0036b31ad15fd815b8a4c88be7be622c428ce3006cb0
3
+ size 4877660776
model-00002-of-00004.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:95f1329c29f6cee4a60a570625fc60c8423a8b2f1db90edf20308a9465fc0f28
3
+ size 4932751008
model-00003-of-00004.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:70598421cae1b922cbf525cd3bd2e1cbc7414b9d282d1a0bb58b46ffc6ab2fdd
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:a11c04c9adb809922629810da1114ee3d2baaf54215224762635a6c540319556
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 +1,107 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {"current_steps": 1, "total_steps": 696, "loss": 0.7934, "lr": 1.4285714285714287e-07, "epoch": 0.00430416068866571, "percentage": 0.14, "elapsed_time": "0:00:27", "remaining_time": "5:23:13"}
2
+ {"current_steps": 2, "total_steps": 696, "loss": 0.8156, "lr": 2.8571428571428575e-07, "epoch": 0.00860832137733142, "percentage": 0.29, "elapsed_time": "0:00:48", "remaining_time": "4:40:12"}
3
+ {"current_steps": 3, "total_steps": 696, "loss": 0.8216, "lr": 4.285714285714286e-07, "epoch": 0.01291248206599713, "percentage": 0.43, "elapsed_time": "0:01:12", "remaining_time": "4:37:14"}
4
+ {"current_steps": 4, "total_steps": 696, "loss": 0.8243, "lr": 5.714285714285715e-07, "epoch": 0.01721664275466284, "percentage": 0.57, "elapsed_time": "0:01:36", "remaining_time": "4:37:14"}
5
+ {"current_steps": 5, "total_steps": 696, "loss": 0.8402, "lr": 7.142857142857143e-07, "epoch": 0.021520803443328552, "percentage": 0.72, "elapsed_time": "0:01:56", "remaining_time": "4:28:53"}
6
+ {"current_steps": 6, "total_steps": 696, "loss": 0.7946, "lr": 8.571428571428572e-07, "epoch": 0.02582496413199426, "percentage": 0.86, "elapsed_time": "0:02:18", "remaining_time": "4:25:16"}
7
+ {"current_steps": 7, "total_steps": 696, "loss": 0.8204, "lr": 1.0000000000000002e-06, "epoch": 0.03012912482065997, "percentage": 1.01, "elapsed_time": "0:02:40", "remaining_time": "4:22:33"}
8
+ {"current_steps": 8, "total_steps": 696, "loss": 0.8125, "lr": 1.142857142857143e-06, "epoch": 0.03443328550932568, "percentage": 1.15, "elapsed_time": "0:03:03", "remaining_time": "4:23:36"}
9
+ {"current_steps": 9, "total_steps": 696, "loss": 0.7809, "lr": 1.2857142857142856e-06, "epoch": 0.03873744619799139, "percentage": 1.29, "elapsed_time": "0:03:24", "remaining_time": "4:19:58"}
10
+ {"current_steps": 10, "total_steps": 696, "loss": 0.7808, "lr": 1.4285714285714286e-06, "epoch": 0.043041606886657105, "percentage": 1.44, "elapsed_time": "0:03:46", "remaining_time": "4:18:25"}
11
+ {"current_steps": 11, "total_steps": 696, "loss": 0.7559, "lr": 1.5714285714285714e-06, "epoch": 0.047345767575322814, "percentage": 1.58, "elapsed_time": "0:04:05", "remaining_time": "4:14:52"}
12
+ {"current_steps": 12, "total_steps": 696, "loss": 0.734, "lr": 1.7142857142857145e-06, "epoch": 0.05164992826398852, "percentage": 1.72, "elapsed_time": "0:04:24", "remaining_time": "4:11:38"}
13
+ {"current_steps": 13, "total_steps": 696, "loss": 0.7309, "lr": 1.8571428571428573e-06, "epoch": 0.05595408895265423, "percentage": 1.87, "elapsed_time": "0:04:47", "remaining_time": "4:11:35"}
14
+ {"current_steps": 14, "total_steps": 696, "loss": 0.7365, "lr": 2.0000000000000003e-06, "epoch": 0.06025824964131994, "percentage": 2.01, "elapsed_time": "0:05:08", "remaining_time": "4:10:10"}
15
+ {"current_steps": 15, "total_steps": 696, "loss": 0.7036, "lr": 2.1428571428571427e-06, "epoch": 0.06456241032998565, "percentage": 2.16, "elapsed_time": "0:05:27", "remaining_time": "4:08:03"}
16
+ {"current_steps": 16, "total_steps": 696, "loss": 0.7078, "lr": 2.285714285714286e-06, "epoch": 0.06886657101865136, "percentage": 2.3, "elapsed_time": "0:05:50", "remaining_time": "4:08:35"}
17
+ {"current_steps": 17, "total_steps": 696, "loss": 0.695, "lr": 2.428571428571429e-06, "epoch": 0.07317073170731707, "percentage": 2.44, "elapsed_time": "0:06:09", "remaining_time": "4:06:15"}
18
+ {"current_steps": 18, "total_steps": 696, "loss": 0.69, "lr": 2.571428571428571e-06, "epoch": 0.07747489239598278, "percentage": 2.59, "elapsed_time": "0:06:29", "remaining_time": "4:04:31"}
19
+ {"current_steps": 19, "total_steps": 696, "loss": 0.6966, "lr": 2.7142857142857144e-06, "epoch": 0.08177905308464849, "percentage": 2.73, "elapsed_time": "0:06:50", "remaining_time": "4:03:52"}
20
+ {"current_steps": 20, "total_steps": 696, "loss": 0.6711, "lr": 2.8571428571428573e-06, "epoch": 0.08608321377331421, "percentage": 2.87, "elapsed_time": "0:07:13", "remaining_time": "4:04:24"}
21
+ {"current_steps": 21, "total_steps": 696, "loss": 0.7096, "lr": 3e-06, "epoch": 0.09038737446197992, "percentage": 3.02, "elapsed_time": "0:07:35", "remaining_time": "4:04:08"}
22
+ {"current_steps": 22, "total_steps": 696, "loss": 0.6677, "lr": 3.142857142857143e-06, "epoch": 0.09469153515064563, "percentage": 3.16, "elapsed_time": "0:07:56", "remaining_time": "4:03:08"}
23
+ {"current_steps": 23, "total_steps": 696, "loss": 0.7003, "lr": 3.285714285714286e-06, "epoch": 0.09899569583931134, "percentage": 3.3, "elapsed_time": "0:08:16", "remaining_time": "4:02:22"}
24
+ {"current_steps": 24, "total_steps": 696, "loss": 0.6554, "lr": 3.428571428571429e-06, "epoch": 0.10329985652797705, "percentage": 3.45, "elapsed_time": "0:08:40", "remaining_time": "4:02:46"}
25
+ {"current_steps": 25, "total_steps": 696, "loss": 0.6168, "lr": 3.5714285714285718e-06, "epoch": 0.10760401721664276, "percentage": 3.59, "elapsed_time": "0:09:01", "remaining_time": "4:02:20"}
26
+ {"current_steps": 26, "total_steps": 696, "loss": 0.6308, "lr": 3.7142857142857146e-06, "epoch": 0.11190817790530846, "percentage": 3.74, "elapsed_time": "0:09:22", "remaining_time": "4:01:34"}
27
+ {"current_steps": 27, "total_steps": 696, "loss": 0.6174, "lr": 3.857142857142858e-06, "epoch": 0.11621233859397417, "percentage": 3.88, "elapsed_time": "0:09:43", "remaining_time": "4:01:06"}
28
+ {"current_steps": 28, "total_steps": 696, "loss": 0.6314, "lr": 4.000000000000001e-06, "epoch": 0.12051649928263988, "percentage": 4.02, "elapsed_time": "0:10:04", "remaining_time": "4:00:23"}
29
+ {"current_steps": 29, "total_steps": 696, "loss": 0.5832, "lr": 4.1428571428571435e-06, "epoch": 0.12482065997130559, "percentage": 4.17, "elapsed_time": "0:10:25", "remaining_time": "3:59:35"}
30
+ {"current_steps": 30, "total_steps": 696, "loss": 0.6304, "lr": 4.2857142857142855e-06, "epoch": 0.1291248206599713, "percentage": 4.31, "elapsed_time": "0:10:45", "remaining_time": "3:58:41"}
31
+ {"current_steps": 31, "total_steps": 696, "loss": 0.6215, "lr": 4.428571428571429e-06, "epoch": 0.133428981348637, "percentage": 4.45, "elapsed_time": "0:11:05", "remaining_time": "3:57:48"}
32
+ {"current_steps": 32, "total_steps": 696, "loss": 0.5946, "lr": 4.571428571428572e-06, "epoch": 0.13773314203730272, "percentage": 4.6, "elapsed_time": "0:11:24", "remaining_time": "3:56:48"}
33
+ {"current_steps": 33, "total_steps": 696, "loss": 0.5832, "lr": 4.714285714285715e-06, "epoch": 0.14203730272596843, "percentage": 4.74, "elapsed_time": "0:11:45", "remaining_time": "3:56:19"}
34
+ {"current_steps": 34, "total_steps": 696, "loss": 0.5804, "lr": 4.857142857142858e-06, "epoch": 0.14634146341463414, "percentage": 4.89, "elapsed_time": "0:12:08", "remaining_time": "3:56:16"}
35
+ {"current_steps": 35, "total_steps": 696, "loss": 0.5901, "lr": 5e-06, "epoch": 0.15064562410329985, "percentage": 5.03, "elapsed_time": "0:12:28", "remaining_time": "3:55:38"}
36
+ {"current_steps": 36, "total_steps": 696, "loss": 0.6189, "lr": 5.142857142857142e-06, "epoch": 0.15494978479196556, "percentage": 5.17, "elapsed_time": "0:12:48", "remaining_time": "3:54:51"}
37
+ {"current_steps": 37, "total_steps": 696, "loss": 0.5708, "lr": 5.285714285714286e-06, "epoch": 0.15925394548063126, "percentage": 5.32, "elapsed_time": "0:13:10", "remaining_time": "3:54:31"}
38
+ {"current_steps": 38, "total_steps": 696, "loss": 0.5692, "lr": 5.428571428571429e-06, "epoch": 0.16355810616929697, "percentage": 5.46, "elapsed_time": "0:13:31", "remaining_time": "3:54:13"}
39
+ {"current_steps": 39, "total_steps": 696, "loss": 0.5631, "lr": 5.571428571428572e-06, "epoch": 0.1678622668579627, "percentage": 5.6, "elapsed_time": "0:13:52", "remaining_time": "3:53:37"}
40
+ {"current_steps": 40, "total_steps": 696, "loss": 0.5581, "lr": 5.7142857142857145e-06, "epoch": 0.17216642754662842, "percentage": 5.75, "elapsed_time": "0:14:12", "remaining_time": "3:52:59"}
41
+ {"current_steps": 41, "total_steps": 696, "loss": 0.5764, "lr": 5.857142857142858e-06, "epoch": 0.17647058823529413, "percentage": 5.89, "elapsed_time": "0:14:32", "remaining_time": "3:52:17"}
42
+ {"current_steps": 42, "total_steps": 696, "loss": 0.5248, "lr": 6e-06, "epoch": 0.18077474892395984, "percentage": 6.03, "elapsed_time": "0:14:53", "remaining_time": "3:51:48"}
43
+ {"current_steps": 43, "total_steps": 696, "loss": 0.5609, "lr": 6.142857142857144e-06, "epoch": 0.18507890961262555, "percentage": 6.18, "elapsed_time": "0:15:13", "remaining_time": "3:51:14"}
44
+ {"current_steps": 44, "total_steps": 696, "loss": 0.5283, "lr": 6.285714285714286e-06, "epoch": 0.18938307030129126, "percentage": 6.32, "elapsed_time": "0:15:34", "remaining_time": "3:50:42"}
45
+ {"current_steps": 45, "total_steps": 696, "loss": 0.5505, "lr": 6.4285714285714295e-06, "epoch": 0.19368723098995697, "percentage": 6.47, "elapsed_time": "0:15:53", "remaining_time": "3:49:59"}
46
+ {"current_steps": 46, "total_steps": 696, "loss": 0.5599, "lr": 6.571428571428572e-06, "epoch": 0.19799139167862267, "percentage": 6.61, "elapsed_time": "0:16:13", "remaining_time": "3:49:22"}
47
+ {"current_steps": 47, "total_steps": 696, "loss": 0.5741, "lr": 6.714285714285714e-06, "epoch": 0.20229555236728838, "percentage": 6.75, "elapsed_time": "0:16:34", "remaining_time": "3:48:58"}
48
+ {"current_steps": 48, "total_steps": 696, "loss": 0.5149, "lr": 6.857142857142858e-06, "epoch": 0.2065997130559541, "percentage": 6.9, "elapsed_time": "0:16:55", "remaining_time": "3:48:35"}
49
+ {"current_steps": 49, "total_steps": 696, "loss": 0.5407, "lr": 7e-06, "epoch": 0.2109038737446198, "percentage": 7.04, "elapsed_time": "0:17:17", "remaining_time": "3:48:14"}
50
+ {"current_steps": 50, "total_steps": 696, "loss": 0.5325, "lr": 7.1428571428571436e-06, "epoch": 0.2152080344332855, "percentage": 7.18, "elapsed_time": "0:17:40", "remaining_time": "3:48:22"}
51
+ {"current_steps": 51, "total_steps": 696, "loss": 0.5325, "lr": 7.285714285714286e-06, "epoch": 0.21951219512195122, "percentage": 7.33, "elapsed_time": "0:18:01", "remaining_time": "3:47:51"}
52
+ {"current_steps": 52, "total_steps": 696, "loss": 0.5468, "lr": 7.428571428571429e-06, "epoch": 0.22381635581061693, "percentage": 7.47, "elapsed_time": "0:18:22", "remaining_time": "3:47:39"}
53
+ {"current_steps": 53, "total_steps": 696, "loss": 0.5144, "lr": 7.571428571428572e-06, "epoch": 0.22812051649928264, "percentage": 7.61, "elapsed_time": "0:18:43", "remaining_time": "3:47:05"}
54
+ {"current_steps": 54, "total_steps": 696, "loss": 0.5478, "lr": 7.714285714285716e-06, "epoch": 0.23242467718794835, "percentage": 7.76, "elapsed_time": "0:19:05", "remaining_time": "3:47:02"}
55
+ {"current_steps": 55, "total_steps": 696, "loss": 0.5162, "lr": 7.857142857142858e-06, "epoch": 0.23672883787661406, "percentage": 7.9, "elapsed_time": "0:19:26", "remaining_time": "3:46:39"}
56
+ {"current_steps": 56, "total_steps": 696, "loss": 0.4896, "lr": 8.000000000000001e-06, "epoch": 0.24103299856527977, "percentage": 8.05, "elapsed_time": "0:19:44", "remaining_time": "3:45:39"}
57
+ {"current_steps": 57, "total_steps": 696, "loss": 0.5184, "lr": 8.142857142857143e-06, "epoch": 0.24533715925394547, "percentage": 8.19, "elapsed_time": "0:20:06", "remaining_time": "3:45:19"}
58
+ {"current_steps": 58, "total_steps": 696, "loss": 0.5381, "lr": 8.285714285714287e-06, "epoch": 0.24964131994261118, "percentage": 8.33, "elapsed_time": "0:20:25", "remaining_time": "3:44:43"}
59
+ {"current_steps": 59, "total_steps": 696, "loss": 0.5344, "lr": 8.428571428571429e-06, "epoch": 0.2539454806312769, "percentage": 8.48, "elapsed_time": "0:20:49", "remaining_time": "3:44:46"}
60
+ {"current_steps": 60, "total_steps": 696, "loss": 0.5177, "lr": 8.571428571428571e-06, "epoch": 0.2582496413199426, "percentage": 8.62, "elapsed_time": "0:21:09", "remaining_time": "3:44:14"}
61
+ {"current_steps": 61, "total_steps": 696, "loss": 0.5148, "lr": 8.714285714285715e-06, "epoch": 0.26255380200860834, "percentage": 8.76, "elapsed_time": "0:21:30", "remaining_time": "3:43:58"}
62
+ {"current_steps": 62, "total_steps": 696, "loss": 0.5086, "lr": 8.857142857142858e-06, "epoch": 0.266857962697274, "percentage": 8.91, "elapsed_time": "0:21:54", "remaining_time": "3:44:01"}
63
+ {"current_steps": 63, "total_steps": 696, "loss": 0.5029, "lr": 9e-06, "epoch": 0.27116212338593976, "percentage": 9.05, "elapsed_time": "0:22:14", "remaining_time": "3:43:31"}
64
+ {"current_steps": 64, "total_steps": 696, "loss": 0.5208, "lr": 9.142857142857144e-06, "epoch": 0.27546628407460544, "percentage": 9.2, "elapsed_time": "0:22:34", "remaining_time": "3:42:58"}
65
+ {"current_steps": 65, "total_steps": 696, "loss": 0.5016, "lr": 9.285714285714288e-06, "epoch": 0.2797704447632712, "percentage": 9.34, "elapsed_time": "0:22:56", "remaining_time": "3:42:42"}
66
+ {"current_steps": 66, "total_steps": 696, "loss": 0.4973, "lr": 9.42857142857143e-06, "epoch": 0.28407460545193686, "percentage": 9.48, "elapsed_time": "0:23:18", "remaining_time": "3:42:32"}
67
+ {"current_steps": 67, "total_steps": 696, "loss": 0.5038, "lr": 9.571428571428573e-06, "epoch": 0.2883787661406026, "percentage": 9.63, "elapsed_time": "0:23:39", "remaining_time": "3:42:08"}
68
+ {"current_steps": 68, "total_steps": 696, "loss": 0.5281, "lr": 9.714285714285715e-06, "epoch": 0.2926829268292683, "percentage": 9.77, "elapsed_time": "0:24:01", "remaining_time": "3:41:57"}
69
+ {"current_steps": 69, "total_steps": 696, "loss": 0.5086, "lr": 9.857142857142859e-06, "epoch": 0.296987087517934, "percentage": 9.91, "elapsed_time": "0:24:22", "remaining_time": "3:41:31"}
70
+ {"current_steps": 70, "total_steps": 696, "loss": 0.5203, "lr": 1e-05, "epoch": 0.3012912482065997, "percentage": 10.06, "elapsed_time": "0:24:43", "remaining_time": "3:41:09"}
71
+ {"current_steps": 71, "total_steps": 696, "loss": 0.498, "lr": 9.999937036309402e-06, "epoch": 0.30559540889526543, "percentage": 10.2, "elapsed_time": "0:25:03", "remaining_time": "3:40:35"}
72
+ {"current_steps": 72, "total_steps": 696, "loss": 0.4988, "lr": 9.999748146823376e-06, "epoch": 0.3098995695839311, "percentage": 10.34, "elapsed_time": "0:25:23", "remaining_time": "3:40:02"}
73
+ {"current_steps": 73, "total_steps": 696, "loss": 0.4885, "lr": 9.999433336299195e-06, "epoch": 0.31420373027259685, "percentage": 10.49, "elapsed_time": "0:25:42", "remaining_time": "3:39:23"}
74
+ {"current_steps": 74, "total_steps": 696, "loss": 0.4906, "lr": 9.99899261266551e-06, "epoch": 0.31850789096126253, "percentage": 10.63, "elapsed_time": "0:26:00", "remaining_time": "3:38:39"}
75
+ {"current_steps": 75, "total_steps": 696, "loss": 0.5063, "lr": 9.99842598702216e-06, "epoch": 0.32281205164992827, "percentage": 10.78, "elapsed_time": "0:26:22", "remaining_time": "3:38:23"}
76
+ {"current_steps": 76, "total_steps": 696, "loss": 0.4885, "lr": 9.997733473639876e-06, "epoch": 0.32711621233859395, "percentage": 10.92, "elapsed_time": "0:26:45", "remaining_time": "3:38:16"}
77
+ {"current_steps": 77, "total_steps": 696, "loss": 0.4966, "lr": 9.996915089959942e-06, "epoch": 0.3314203730272597, "percentage": 11.06, "elapsed_time": "0:27:05", "remaining_time": "3:37:43"}
78
+ {"current_steps": 78, "total_steps": 696, "loss": 0.5168, "lr": 9.995970856593739e-06, "epoch": 0.3357245337159254, "percentage": 11.21, "elapsed_time": "0:27:24", "remaining_time": "3:37:05"}
79
+ {"current_steps": 79, "total_steps": 696, "loss": 0.4935, "lr": 9.994900797322233e-06, "epoch": 0.3400286944045911, "percentage": 11.35, "elapsed_time": "0:27:43", "remaining_time": "3:36:33"}
80
+ {"current_steps": 80, "total_steps": 696, "loss": 0.5037, "lr": 9.993704939095376e-06, "epoch": 0.34433285509325684, "percentage": 11.49, "elapsed_time": "0:28:02", "remaining_time": "3:35:58"}
81
+ {"current_steps": 81, "total_steps": 696, "loss": 0.4974, "lr": 9.99238331203143e-06, "epoch": 0.3486370157819225, "percentage": 11.64, "elapsed_time": "0:28:25", "remaining_time": "3:35:47"}
82
+ {"current_steps": 82, "total_steps": 696, "loss": 0.4869, "lr": 9.9909359494162e-06, "epoch": 0.35294117647058826, "percentage": 11.78, "elapsed_time": "0:28:42", "remaining_time": "3:34:57"}
83
+ {"current_steps": 83, "total_steps": 696, "loss": 0.4933, "lr": 9.989362887702203e-06, "epoch": 0.35724533715925394, "percentage": 11.93, "elapsed_time": "0:29:03", "remaining_time": "3:34:39"}
84
+ {"current_steps": 84, "total_steps": 696, "loss": 0.4969, "lr": 9.987664166507749e-06, "epoch": 0.3615494978479197, "percentage": 12.07, "elapsed_time": "0:29:23", "remaining_time": "3:34:11"}
85
+ {"current_steps": 85, "total_steps": 696, "loss": 0.5092, "lr": 9.985839828615937e-06, "epoch": 0.36585365853658536, "percentage": 12.21, "elapsed_time": "0:29:45", "remaining_time": "3:33:51"}
86
+ {"current_steps": 86, "total_steps": 696, "loss": 0.4925, "lr": 9.983889919973586e-06, "epoch": 0.3701578192252511, "percentage": 12.36, "elapsed_time": "0:30:04", "remaining_time": "3:33:19"}
87
+ {"current_steps": 87, "total_steps": 696, "loss": 0.4614, "lr": 9.981814489690077e-06, "epoch": 0.3744619799139168, "percentage": 12.5, "elapsed_time": "0:30:25", "remaining_time": "3:33:00"}
88
+ {"current_steps": 88, "total_steps": 696, "loss": 0.5068, "lr": 9.979613590036108e-06, "epoch": 0.3787661406025825, "percentage": 12.64, "elapsed_time": "0:30:46", "remaining_time": "3:32:38"}
89
+ {"current_steps": 89, "total_steps": 696, "loss": 0.5127, "lr": 9.977287276442385e-06, "epoch": 0.3830703012912482, "percentage": 12.79, "elapsed_time": "0:31:07", "remaining_time": "3:32:14"}
90
+ {"current_steps": 90, "total_steps": 696, "loss": 0.4714, "lr": 9.974835607498224e-06, "epoch": 0.38737446197991393, "percentage": 12.93, "elapsed_time": "0:31:29", "remaining_time": "3:32:00"}
91
+ {"current_steps": 91, "total_steps": 696, "loss": 0.5083, "lr": 9.972258644950074e-06, "epoch": 0.3916786226685796, "percentage": 13.07, "elapsed_time": "0:31:50", "remaining_time": "3:31:40"}
92
+ {"current_steps": 92, "total_steps": 696, "loss": 0.4958, "lr": 9.969556453699966e-06, "epoch": 0.39598278335724535, "percentage": 13.22, "elapsed_time": "0:32:11", "remaining_time": "3:31:18"}
93
+ {"current_steps": 93, "total_steps": 696, "loss": 0.4657, "lr": 9.966729101803872e-06, "epoch": 0.40028694404591103, "percentage": 13.36, "elapsed_time": "0:32:34", "remaining_time": "3:31:12"}
94
+ {"current_steps": 94, "total_steps": 696, "loss": 0.4826, "lr": 9.963776660469996e-06, "epoch": 0.40459110473457677, "percentage": 13.51, "elapsed_time": "0:32:54", "remaining_time": "3:30:46"}
95
+ {"current_steps": 95, "total_steps": 696, "loss": 0.4997, "lr": 9.960699204056978e-06, "epoch": 0.40889526542324245, "percentage": 13.65, "elapsed_time": "0:33:15", "remaining_time": "3:30:23"}
96
+ {"current_steps": 96, "total_steps": 696, "loss": 0.5259, "lr": 9.957496810072027e-06, "epoch": 0.4131994261119082, "percentage": 13.79, "elapsed_time": "0:33:36", "remaining_time": "3:30:01"}
97
+ {"current_steps": 97, "total_steps": 696, "loss": 0.5006, "lr": 9.954169559168958e-06, "epoch": 0.41750358680057387, "percentage": 13.94, "elapsed_time": "0:33:56", "remaining_time": "3:29:33"}
98
+ {"current_steps": 98, "total_steps": 696, "loss": 0.5234, "lr": 9.95071753514617e-06, "epoch": 0.4218077474892396, "percentage": 14.08, "elapsed_time": "0:34:16", "remaining_time": "3:29:11"}
99
+ {"current_steps": 99, "total_steps": 696, "loss": 0.4944, "lr": 9.947140824944533e-06, "epoch": 0.4261119081779053, "percentage": 14.22, "elapsed_time": "0:34:37", "remaining_time": "3:28:47"}
100
+ {"current_steps": 100, "total_steps": 696, "loss": 0.4932, "lr": 9.943439518645193e-06, "epoch": 0.430416068866571, "percentage": 14.37, "elapsed_time": "0:34:57", "remaining_time": "3:28:22"}
101
+ {"current_steps": 101, "total_steps": 696, "loss": 0.4882, "lr": 9.939613709467317e-06, "epoch": 0.4347202295552367, "percentage": 14.51, "elapsed_time": "0:36:04", "remaining_time": "3:32:28"}
102
+ {"current_steps": 102, "total_steps": 696, "loss": 0.4464, "lr": 9.935663493765726e-06, "epoch": 0.43902439024390244, "percentage": 14.66, "elapsed_time": "0:36:22", "remaining_time": "3:31:48"}
103
+ {"current_steps": 103, "total_steps": 696, "loss": 0.4761, "lr": 9.93158897102849e-06, "epoch": 0.4433285509325681, "percentage": 14.8, "elapsed_time": "0:36:41", "remaining_time": "3:31:16"}
104
+ {"current_steps": 104, "total_steps": 696, "loss": 0.48, "lr": 9.9273902438744e-06, "epoch": 0.44763271162123386, "percentage": 14.94, "elapsed_time": "0:37:03", "remaining_time": "3:30:54"}
105
+ {"current_steps": 105, "total_steps": 696, "loss": 0.4836, "lr": 9.923067418050399e-06, "epoch": 0.4519368723098996, "percentage": 15.09, "elapsed_time": "0:37:24", "remaining_time": "3:30:31"}
106
+ {"current_steps": 106, "total_steps": 696, "loss": 0.4873, "lr": 9.918620602428916e-06, "epoch": 0.4562410329985653, "percentage": 15.23, "elapsed_time": "0:37:46", "remaining_time": "3:30:13"}
107
+ {"current_steps": 107, "total_steps": 696, "loss": 0.4939, "lr": 9.91404990900512e-06, "epoch": 0.460545193687231, "percentage": 15.37, "elapsed_time": "0:38:04", "remaining_time": "3:29:38"}
training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:e0ef49094be9122af0fe26f184841a4979db225d7bcdf4bcde62ab016095fe87
3
+ size 7352
vocab.json ADDED
The diff for this file is too large to render. See raw diff