sedrickkeh commited on
Commit
5872dd5
·
verified ·
1 Parent(s): 39092fe

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 sha256:18f7cb8640d4ad91cd3f2d1d25a3aac7d9d30cd094ab6e37098595ac5ebe71e7
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:bf658da7b4856014fb47b16eb1dd9b415c79bb631c50139a76e9a0b795bf7b94
3
+ size 4932751008
model-00003-of-00004.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:900e2fa01d4bc2c7d1ce38b7aa4fce9cb3f9db8ea2edb3a071c80595b1e64c89
3
+ size 4330865200
model-00004-of-00004.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:2147fd455cc41371c783f47dcbe75ef5b43401c086402064fdb8865233548855
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": 438, "loss": 0.8592, "lr": 2.2727272727272729e-07, "epoch": 0.00684931506849315, "percentage": 0.23, "elapsed_time": "0:00:32", "remaining_time": "3:55:12"}
2
+ {"current_steps": 2, "total_steps": 438, "loss": 0.8441, "lr": 4.5454545454545457e-07, "epoch": 0.0136986301369863, "percentage": 0.46, "elapsed_time": "0:00:54", "remaining_time": "3:19:26"}
3
+ {"current_steps": 3, "total_steps": 438, "loss": 0.8847, "lr": 6.818181818181818e-07, "epoch": 0.02054794520547945, "percentage": 0.68, "elapsed_time": "0:01:15", "remaining_time": "3:02:52"}
4
+ {"current_steps": 4, "total_steps": 438, "loss": 0.8802, "lr": 9.090909090909091e-07, "epoch": 0.0273972602739726, "percentage": 0.91, "elapsed_time": "0:01:36", "remaining_time": "2:54:07"}
5
+ {"current_steps": 5, "total_steps": 438, "loss": 0.9015, "lr": 1.1363636363636364e-06, "epoch": 0.03424657534246575, "percentage": 1.14, "elapsed_time": "0:01:56", "remaining_time": "2:47:50"}
6
+ {"current_steps": 6, "total_steps": 438, "loss": 0.8771, "lr": 1.3636363636363636e-06, "epoch": 0.0410958904109589, "percentage": 1.37, "elapsed_time": "0:02:19", "remaining_time": "2:47:22"}
7
+ {"current_steps": 7, "total_steps": 438, "loss": 0.8668, "lr": 1.590909090909091e-06, "epoch": 0.04794520547945205, "percentage": 1.6, "elapsed_time": "0:02:43", "remaining_time": "2:47:24"}
8
+ {"current_steps": 8, "total_steps": 438, "loss": 0.8269, "lr": 1.8181818181818183e-06, "epoch": 0.0547945205479452, "percentage": 1.83, "elapsed_time": "0:03:05", "remaining_time": "2:45:58"}
9
+ {"current_steps": 9, "total_steps": 438, "loss": 0.7879, "lr": 2.0454545454545457e-06, "epoch": 0.06164383561643835, "percentage": 2.05, "elapsed_time": "0:03:24", "remaining_time": "2:42:31"}
10
+ {"current_steps": 10, "total_steps": 438, "loss": 0.7631, "lr": 2.2727272727272728e-06, "epoch": 0.0684931506849315, "percentage": 2.28, "elapsed_time": "0:03:42", "remaining_time": "2:38:55"}
11
+ {"current_steps": 11, "total_steps": 438, "loss": 0.7555, "lr": 2.5e-06, "epoch": 0.07534246575342465, "percentage": 2.51, "elapsed_time": "0:04:07", "remaining_time": "2:40:08"}
12
+ {"current_steps": 12, "total_steps": 438, "loss": 0.7413, "lr": 2.7272727272727272e-06, "epoch": 0.0821917808219178, "percentage": 2.74, "elapsed_time": "0:04:30", "remaining_time": "2:39:59"}
13
+ {"current_steps": 13, "total_steps": 438, "loss": 0.7588, "lr": 2.954545454545455e-06, "epoch": 0.08904109589041095, "percentage": 2.97, "elapsed_time": "0:04:51", "remaining_time": "2:39:05"}
14
+ {"current_steps": 14, "total_steps": 438, "loss": 0.7552, "lr": 3.181818181818182e-06, "epoch": 0.0958904109589041, "percentage": 3.2, "elapsed_time": "0:05:13", "remaining_time": "2:38:12"}
15
+ {"current_steps": 15, "total_steps": 438, "loss": 0.7653, "lr": 3.409090909090909e-06, "epoch": 0.10273972602739725, "percentage": 3.42, "elapsed_time": "0:05:34", "remaining_time": "2:37:05"}
16
+ {"current_steps": 16, "total_steps": 438, "loss": 0.7895, "lr": 3.6363636363636366e-06, "epoch": 0.1095890410958904, "percentage": 3.65, "elapsed_time": "0:05:56", "remaining_time": "2:36:44"}
17
+ {"current_steps": 17, "total_steps": 438, "loss": 0.7636, "lr": 3.863636363636364e-06, "epoch": 0.11643835616438356, "percentage": 3.88, "elapsed_time": "0:06:17", "remaining_time": "2:35:59"}
18
+ {"current_steps": 18, "total_steps": 438, "loss": 0.7197, "lr": 4.0909090909090915e-06, "epoch": 0.1232876712328767, "percentage": 4.11, "elapsed_time": "0:06:39", "remaining_time": "2:35:32"}
19
+ {"current_steps": 19, "total_steps": 438, "loss": 0.6567, "lr": 4.3181818181818185e-06, "epoch": 0.13013698630136986, "percentage": 4.34, "elapsed_time": "0:07:01", "remaining_time": "2:34:58"}
20
+ {"current_steps": 20, "total_steps": 438, "loss": 0.7121, "lr": 4.5454545454545455e-06, "epoch": 0.136986301369863, "percentage": 4.57, "elapsed_time": "0:07:23", "remaining_time": "2:34:21"}
21
+ {"current_steps": 21, "total_steps": 438, "loss": 0.7, "lr": 4.772727272727273e-06, "epoch": 0.14383561643835616, "percentage": 4.79, "elapsed_time": "0:07:46", "remaining_time": "2:34:14"}
22
+ {"current_steps": 22, "total_steps": 438, "loss": 0.6897, "lr": 5e-06, "epoch": 0.1506849315068493, "percentage": 5.02, "elapsed_time": "0:08:05", "remaining_time": "2:33:08"}
23
+ {"current_steps": 23, "total_steps": 438, "loss": 0.668, "lr": 5.2272727272727274e-06, "epoch": 0.15753424657534246, "percentage": 5.25, "elapsed_time": "0:08:28", "remaining_time": "2:32:47"}
24
+ {"current_steps": 24, "total_steps": 438, "loss": 0.6585, "lr": 5.4545454545454545e-06, "epoch": 0.1643835616438356, "percentage": 5.48, "elapsed_time": "0:08:49", "remaining_time": "2:32:10"}
25
+ {"current_steps": 25, "total_steps": 438, "loss": 0.6639, "lr": 5.681818181818183e-06, "epoch": 0.17123287671232876, "percentage": 5.71, "elapsed_time": "0:09:08", "remaining_time": "2:31:06"}
26
+ {"current_steps": 26, "total_steps": 438, "loss": 0.6519, "lr": 5.90909090909091e-06, "epoch": 0.1780821917808219, "percentage": 5.94, "elapsed_time": "0:09:30", "remaining_time": "2:30:47"}
27
+ {"current_steps": 27, "total_steps": 438, "loss": 0.6133, "lr": 6.136363636363637e-06, "epoch": 0.18493150684931506, "percentage": 6.16, "elapsed_time": "0:09:54", "remaining_time": "2:30:47"}
28
+ {"current_steps": 28, "total_steps": 438, "loss": 0.6404, "lr": 6.363636363636364e-06, "epoch": 0.1917808219178082, "percentage": 6.39, "elapsed_time": "0:10:14", "remaining_time": "2:30:05"}
29
+ {"current_steps": 29, "total_steps": 438, "loss": 0.6385, "lr": 6.590909090909091e-06, "epoch": 0.19863013698630136, "percentage": 6.62, "elapsed_time": "0:10:34", "remaining_time": "2:29:12"}
30
+ {"current_steps": 30, "total_steps": 438, "loss": 0.6447, "lr": 6.818181818181818e-06, "epoch": 0.2054794520547945, "percentage": 6.85, "elapsed_time": "0:10:58", "remaining_time": "2:29:12"}
31
+ {"current_steps": 31, "total_steps": 438, "loss": 0.6244, "lr": 7.045454545454546e-06, "epoch": 0.21232876712328766, "percentage": 7.08, "elapsed_time": "0:11:19", "remaining_time": "2:28:36"}
32
+ {"current_steps": 32, "total_steps": 438, "loss": 0.6137, "lr": 7.272727272727273e-06, "epoch": 0.2191780821917808, "percentage": 7.31, "elapsed_time": "0:11:39", "remaining_time": "2:27:57"}
33
+ {"current_steps": 33, "total_steps": 438, "loss": 0.6211, "lr": 7.500000000000001e-06, "epoch": 0.22602739726027396, "percentage": 7.53, "elapsed_time": "0:12:00", "remaining_time": "2:27:17"}
34
+ {"current_steps": 34, "total_steps": 438, "loss": 0.6034, "lr": 7.727272727272727e-06, "epoch": 0.2328767123287671, "percentage": 7.76, "elapsed_time": "0:12:21", "remaining_time": "2:26:46"}
35
+ {"current_steps": 35, "total_steps": 438, "loss": 0.6151, "lr": 7.954545454545455e-06, "epoch": 0.23972602739726026, "percentage": 7.99, "elapsed_time": "0:12:44", "remaining_time": "2:26:38"}
36
+ {"current_steps": 36, "total_steps": 438, "loss": 0.5855, "lr": 8.181818181818183e-06, "epoch": 0.2465753424657534, "percentage": 8.22, "elapsed_time": "0:13:05", "remaining_time": "2:26:13"}
37
+ {"current_steps": 37, "total_steps": 438, "loss": 0.6001, "lr": 8.40909090909091e-06, "epoch": 0.2534246575342466, "percentage": 8.45, "elapsed_time": "0:13:27", "remaining_time": "2:25:51"}
38
+ {"current_steps": 38, "total_steps": 438, "loss": 0.5876, "lr": 8.636363636363637e-06, "epoch": 0.2602739726027397, "percentage": 8.68, "elapsed_time": "0:13:49", "remaining_time": "2:25:33"}
39
+ {"current_steps": 39, "total_steps": 438, "loss": 0.5883, "lr": 8.863636363636365e-06, "epoch": 0.2671232876712329, "percentage": 8.9, "elapsed_time": "0:14:08", "remaining_time": "2:24:35"}
40
+ {"current_steps": 40, "total_steps": 438, "loss": 0.5614, "lr": 9.090909090909091e-06, "epoch": 0.273972602739726, "percentage": 9.13, "elapsed_time": "0:14:27", "remaining_time": "2:23:52"}
41
+ {"current_steps": 41, "total_steps": 438, "loss": 0.6156, "lr": 9.318181818181819e-06, "epoch": 0.2808219178082192, "percentage": 9.36, "elapsed_time": "0:14:47", "remaining_time": "2:23:18"}
42
+ {"current_steps": 42, "total_steps": 438, "loss": 0.586, "lr": 9.545454545454547e-06, "epoch": 0.2876712328767123, "percentage": 9.59, "elapsed_time": "0:15:08", "remaining_time": "2:22:43"}
43
+ {"current_steps": 43, "total_steps": 438, "loss": 0.5747, "lr": 9.772727272727273e-06, "epoch": 0.2945205479452055, "percentage": 9.82, "elapsed_time": "0:15:26", "remaining_time": "2:21:49"}
44
+ {"current_steps": 44, "total_steps": 438, "loss": 0.5419, "lr": 1e-05, "epoch": 0.3013698630136986, "percentage": 10.05, "elapsed_time": "0:15:46", "remaining_time": "2:21:14"}
45
+ {"current_steps": 45, "total_steps": 438, "loss": 0.568, "lr": 9.999841055681184e-06, "epoch": 0.3082191780821918, "percentage": 10.27, "elapsed_time": "0:16:08", "remaining_time": "2:20:58"}
46
+ {"current_steps": 46, "total_steps": 438, "loss": 0.5715, "lr": 9.999364232830053e-06, "epoch": 0.3150684931506849, "percentage": 10.5, "elapsed_time": "0:16:27", "remaining_time": "2:20:18"}
47
+ {"current_steps": 47, "total_steps": 438, "loss": 0.5492, "lr": 9.99856956176192e-06, "epoch": 0.3219178082191781, "percentage": 10.73, "elapsed_time": "0:16:50", "remaining_time": "2:20:07"}
48
+ {"current_steps": 48, "total_steps": 438, "loss": 0.5849, "lr": 9.997457093000165e-06, "epoch": 0.3287671232876712, "percentage": 10.96, "elapsed_time": "0:17:11", "remaining_time": "2:19:40"}
49
+ {"current_steps": 49, "total_steps": 438, "loss": 0.585, "lr": 9.996026897273024e-06, "epoch": 0.3356164383561644, "percentage": 11.19, "elapsed_time": "0:17:32", "remaining_time": "2:19:11"}
50
+ {"current_steps": 50, "total_steps": 438, "loss": 0.5813, "lr": 9.994279065509094e-06, "epoch": 0.3424657534246575, "percentage": 11.42, "elapsed_time": "0:17:54", "remaining_time": "2:19:00"}
51
+ {"current_steps": 51, "total_steps": 438, "loss": 0.5576, "lr": 9.992213708831542e-06, "epoch": 0.3493150684931507, "percentage": 11.64, "elapsed_time": "0:18:14", "remaining_time": "2:18:23"}
52
+ {"current_steps": 52, "total_steps": 438, "loss": 0.5776, "lr": 9.989830958551058e-06, "epoch": 0.3561643835616438, "percentage": 11.87, "elapsed_time": "0:18:34", "remaining_time": "2:17:56"}
53
+ {"current_steps": 53, "total_steps": 438, "loss": 0.5973, "lr": 9.987130966157486e-06, "epoch": 0.363013698630137, "percentage": 12.1, "elapsed_time": "0:18:56", "remaining_time": "2:17:36"}
54
+ {"current_steps": 54, "total_steps": 438, "loss": 0.5383, "lr": 9.984113903310206e-06, "epoch": 0.3698630136986301, "percentage": 12.33, "elapsed_time": "0:19:18", "remaining_time": "2:17:20"}
55
+ {"current_steps": 55, "total_steps": 438, "loss": 0.5371, "lr": 9.98077996182722e-06, "epoch": 0.3767123287671233, "percentage": 12.56, "elapsed_time": "0:19:39", "remaining_time": "2:16:50"}
56
+ {"current_steps": 56, "total_steps": 438, "loss": 0.5708, "lr": 9.977129353672951e-06, "epoch": 0.3835616438356164, "percentage": 12.79, "elapsed_time": "0:20:01", "remaining_time": "2:16:34"}
57
+ {"current_steps": 57, "total_steps": 438, "loss": 0.5777, "lr": 9.973162310944769e-06, "epoch": 0.3904109589041096, "percentage": 13.01, "elapsed_time": "0:20:23", "remaining_time": "2:16:19"}
58
+ {"current_steps": 58, "total_steps": 438, "loss": 0.5366, "lr": 9.968879085858234e-06, "epoch": 0.3972602739726027, "percentage": 13.24, "elapsed_time": "0:20:41", "remaining_time": "2:15:36"}
59
+ {"current_steps": 59, "total_steps": 438, "loss": 0.5822, "lr": 9.964279950731066e-06, "epoch": 0.4041095890410959, "percentage": 13.47, "elapsed_time": "0:21:03", "remaining_time": "2:15:17"}
60
+ {"current_steps": 60, "total_steps": 438, "loss": 0.5814, "lr": 9.959365197965824e-06, "epoch": 0.410958904109589, "percentage": 13.7, "elapsed_time": "0:21:23", "remaining_time": "2:14:47"}
61
+ {"current_steps": 61, "total_steps": 438, "loss": 0.5594, "lr": 9.954135140031322e-06, "epoch": 0.4178082191780822, "percentage": 13.93, "elapsed_time": "0:21:44", "remaining_time": "2:14:24"}
62
+ {"current_steps": 62, "total_steps": 438, "loss": 0.5516, "lr": 9.948590109442755e-06, "epoch": 0.4246575342465753, "percentage": 14.16, "elapsed_time": "0:22:05", "remaining_time": "2:13:58"}
63
+ {"current_steps": 63, "total_steps": 438, "loss": 0.5335, "lr": 9.942730458740568e-06, "epoch": 0.4315068493150685, "percentage": 14.38, "elapsed_time": "0:22:24", "remaining_time": "2:13:21"}
64
+ {"current_steps": 64, "total_steps": 438, "loss": 0.5421, "lr": 9.936556560468037e-06, "epoch": 0.4383561643835616, "percentage": 14.61, "elapsed_time": "0:22:43", "remaining_time": "2:12:48"}
65
+ {"current_steps": 65, "total_steps": 438, "loss": 0.5375, "lr": 9.930068807147585e-06, "epoch": 0.4452054794520548, "percentage": 14.84, "elapsed_time": "0:23:03", "remaining_time": "2:12:19"}
66
+ {"current_steps": 66, "total_steps": 438, "loss": 0.5605, "lr": 9.923267611255824e-06, "epoch": 0.4520547945205479, "percentage": 15.07, "elapsed_time": "0:23:24", "remaining_time": "2:11:57"}
67
+ {"current_steps": 67, "total_steps": 438, "loss": 0.5229, "lr": 9.916153405197333e-06, "epoch": 0.4589041095890411, "percentage": 15.3, "elapsed_time": "0:23:41", "remaining_time": "2:11:11"}
68
+ {"current_steps": 68, "total_steps": 438, "loss": 0.5364, "lr": 9.908726641277167e-06, "epoch": 0.4657534246575342, "percentage": 15.53, "elapsed_time": "0:24:03", "remaining_time": "2:10:56"}
69
+ {"current_steps": 69, "total_steps": 438, "loss": 0.5351, "lr": 9.9009877916721e-06, "epoch": 0.4726027397260274, "percentage": 15.75, "elapsed_time": "0:24:23", "remaining_time": "2:10:28"}
70
+ {"current_steps": 70, "total_steps": 438, "loss": 0.543, "lr": 9.8929373484006e-06, "epoch": 0.4794520547945205, "percentage": 15.98, "elapsed_time": "0:24:43", "remaining_time": "2:10:00"}
71
+ {"current_steps": 71, "total_steps": 438, "loss": 0.5959, "lr": 9.884575823291561e-06, "epoch": 0.4863013698630137, "percentage": 16.21, "elapsed_time": "0:25:04", "remaining_time": "2:09:36"}
72
+ {"current_steps": 72, "total_steps": 438, "loss": 0.569, "lr": 9.875903747951742e-06, "epoch": 0.4931506849315068, "percentage": 16.44, "elapsed_time": "0:25:26", "remaining_time": "2:09:19"}
73
+ {"current_steps": 73, "total_steps": 438, "loss": 0.5376, "lr": 9.866921673731991e-06, "epoch": 0.5, "percentage": 16.67, "elapsed_time": "0:25:48", "remaining_time": "2:09:04"}
74
+ {"current_steps": 74, "total_steps": 438, "loss": 0.5356, "lr": 9.857630171692175e-06, "epoch": 0.5068493150684932, "percentage": 16.89, "elapsed_time": "0:26:10", "remaining_time": "2:08:45"}
75
+ {"current_steps": 75, "total_steps": 438, "loss": 0.5151, "lr": 9.848029832564875e-06, "epoch": 0.5136986301369864, "percentage": 17.12, "elapsed_time": "0:26:29", "remaining_time": "2:08:12"}
76
+ {"current_steps": 76, "total_steps": 438, "loss": 0.5274, "lr": 9.83812126671784e-06, "epoch": 0.5205479452054794, "percentage": 17.35, "elapsed_time": "0:26:51", "remaining_time": "2:07:55"}
77
+ {"current_steps": 77, "total_steps": 438, "loss": 0.5365, "lr": 9.827905104115167e-06, "epoch": 0.5273972602739726, "percentage": 17.58, "elapsed_time": "0:27:12", "remaining_time": "2:07:34"}
78
+ {"current_steps": 78, "total_steps": 438, "loss": 0.5463, "lr": 9.81738199427726e-06, "epoch": 0.5342465753424658, "percentage": 17.81, "elapsed_time": "0:27:33", "remaining_time": "2:07:13"}
79
+ {"current_steps": 79, "total_steps": 438, "loss": 0.5346, "lr": 9.80655260623953e-06, "epoch": 0.541095890410959, "percentage": 18.04, "elapsed_time": "0:27:51", "remaining_time": "2:06:34"}
80
+ {"current_steps": 80, "total_steps": 438, "loss": 0.5553, "lr": 9.795417628509857e-06, "epoch": 0.547945205479452, "percentage": 18.26, "elapsed_time": "0:28:12", "remaining_time": "2:06:12"}
81
+ {"current_steps": 81, "total_steps": 438, "loss": 0.5467, "lr": 9.783977769024821e-06, "epoch": 0.5547945205479452, "percentage": 18.49, "elapsed_time": "0:28:33", "remaining_time": "2:05:53"}
82
+ {"current_steps": 82, "total_steps": 438, "loss": 0.5365, "lr": 9.772233755104695e-06, "epoch": 0.5616438356164384, "percentage": 18.72, "elapsed_time": "0:28:55", "remaining_time": "2:05:32"}
83
+ {"current_steps": 83, "total_steps": 438, "loss": 0.5366, "lr": 9.76018633340719e-06, "epoch": 0.5684931506849316, "percentage": 18.95, "elapsed_time": "0:29:15", "remaining_time": "2:05:07"}
84
+ {"current_steps": 84, "total_steps": 438, "loss": 0.5549, "lr": 9.747836269880005e-06, "epoch": 0.5753424657534246, "percentage": 19.18, "elapsed_time": "0:29:36", "remaining_time": "2:04:47"}
85
+ {"current_steps": 85, "total_steps": 438, "loss": 0.5605, "lr": 9.73518434971211e-06, "epoch": 0.5821917808219178, "percentage": 19.41, "elapsed_time": "0:29:58", "remaining_time": "2:04:27"}
86
+ {"current_steps": 86, "total_steps": 438, "loss": 0.5304, "lr": 9.722231377283841e-06, "epoch": 0.589041095890411, "percentage": 19.63, "elapsed_time": "0:30:15", "remaining_time": "2:03:50"}
87
+ {"current_steps": 87, "total_steps": 438, "loss": 0.5392, "lr": 9.70897817611575e-06, "epoch": 0.5958904109589042, "percentage": 19.86, "elapsed_time": "0:30:36", "remaining_time": "2:03:28"}
88
+ {"current_steps": 88, "total_steps": 438, "loss": 0.536, "lr": 9.695425588816248e-06, "epoch": 0.6027397260273972, "percentage": 20.09, "elapsed_time": "0:30:57", "remaining_time": "2:03:09"}
89
+ {"current_steps": 89, "total_steps": 438, "loss": 0.531, "lr": 9.681574477028039e-06, "epoch": 0.6095890410958904, "percentage": 20.32, "elapsed_time": "0:31:15", "remaining_time": "2:02:33"}
90
+ {"current_steps": 90, "total_steps": 438, "loss": 0.5239, "lr": 9.667425721373333e-06, "epoch": 0.6164383561643836, "percentage": 20.55, "elapsed_time": "0:31:32", "remaining_time": "2:01:58"}
91
+ {"current_steps": 91, "total_steps": 438, "loss": 0.5462, "lr": 9.65298022139786e-06, "epoch": 0.6232876712328768, "percentage": 20.78, "elapsed_time": "0:31:55", "remaining_time": "2:01:43"}
92
+ {"current_steps": 92, "total_steps": 438, "loss": 0.496, "lr": 9.638238895513687e-06, "epoch": 0.6301369863013698, "percentage": 21.0, "elapsed_time": "0:32:16", "remaining_time": "2:01:24"}
93
+ {"current_steps": 93, "total_steps": 438, "loss": 0.5521, "lr": 9.623202680940811e-06, "epoch": 0.636986301369863, "percentage": 21.23, "elapsed_time": "0:32:37", "remaining_time": "2:01:03"}
94
+ {"current_steps": 94, "total_steps": 438, "loss": 0.5576, "lr": 9.607872533647584e-06, "epoch": 0.6438356164383562, "percentage": 21.46, "elapsed_time": "0:32:58", "remaining_time": "2:00:41"}
95
+ {"current_steps": 95, "total_steps": 438, "loss": 0.5461, "lr": 9.592249428289935e-06, "epoch": 0.6506849315068494, "percentage": 21.69, "elapsed_time": "0:33:18", "remaining_time": "2:00:17"}
96
+ {"current_steps": 96, "total_steps": 438, "loss": 0.5065, "lr": 9.5763343581494e-06, "epoch": 0.6575342465753424, "percentage": 21.92, "elapsed_time": "0:33:41", "remaining_time": "2:00:00"}
97
+ {"current_steps": 97, "total_steps": 438, "loss": 0.5649, "lr": 9.560128335069971e-06, "epoch": 0.6643835616438356, "percentage": 22.15, "elapsed_time": "0:34:02", "remaining_time": "1:59:39"}
98
+ {"current_steps": 98, "total_steps": 438, "loss": 0.5235, "lr": 9.543632389393767e-06, "epoch": 0.6712328767123288, "percentage": 22.37, "elapsed_time": "0:34:23", "remaining_time": "1:59:17"}
99
+ {"current_steps": 99, "total_steps": 438, "loss": 0.5454, "lr": 9.526847569895529e-06, "epoch": 0.678082191780822, "percentage": 22.6, "elapsed_time": "0:34:45", "remaining_time": "1:59:00"}
100
+ {"current_steps": 100, "total_steps": 438, "loss": 0.5445, "lr": 9.50977494371594e-06, "epoch": 0.684931506849315, "percentage": 22.83, "elapsed_time": "0:35:04", "remaining_time": "1:58:34"}
101
+ {"current_steps": 101, "total_steps": 438, "loss": 0.5241, "lr": 9.49241559629377e-06, "epoch": 0.6917808219178082, "percentage": 23.06, "elapsed_time": "0:36:12", "remaining_time": "2:00:48"}
102
+ {"current_steps": 102, "total_steps": 438, "loss": 0.512, "lr": 9.474770631296882e-06, "epoch": 0.6986301369863014, "percentage": 23.29, "elapsed_time": "0:36:35", "remaining_time": "2:00:30"}
103
+ {"current_steps": 103, "total_steps": 438, "loss": 0.5387, "lr": 9.456841170552054e-06, "epoch": 0.7054794520547946, "percentage": 23.52, "elapsed_time": "0:36:56", "remaining_time": "2:00:09"}
104
+ {"current_steps": 104, "total_steps": 438, "loss": 0.5454, "lr": 9.438628353973654e-06, "epoch": 0.7123287671232876, "percentage": 23.74, "elapsed_time": "0:37:17", "remaining_time": "1:59:44"}
105
+ {"current_steps": 105, "total_steps": 438, "loss": 0.4957, "lr": 9.420133339491171e-06, "epoch": 0.7191780821917808, "percentage": 23.97, "elapsed_time": "0:37:36", "remaining_time": "1:59:15"}
106
+ {"current_steps": 106, "total_steps": 438, "loss": 0.5745, "lr": 9.4013573029756e-06, "epoch": 0.726027397260274, "percentage": 24.2, "elapsed_time": "0:37:55", "remaining_time": "1:58:47"}
107
+ {"current_steps": 107, "total_steps": 438, "loss": 0.5289, "lr": 9.382301438164673e-06, "epoch": 0.7328767123287672, "percentage": 24.43, "elapsed_time": "0:38:15", "remaining_time": "1:58:21"}
training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:74819334b840dbf74549bdc40bd2ac4fa048ef1b1a22e3c08585203ee52ca43a
3
+ size 7352
vocab.json ADDED
The diff for this file is too large to render. See raw diff