chaoscodes commited on
Commit
3bdeb58
·
verified ·
1 Parent(s): c2739de

Upload folder using huggingface_hub

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 +1,28 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "</tool_call>": 151658,
3
+ "<tool_call>": 151657,
4
+ "<|explore|>": 151667,
5
+ "<|box_end|>": 151649,
6
+ "<|box_start|>": 151648,
7
+ "<|continue|>": 151665,
8
+ "<|endoftext|>": 151643,
9
+ "<|file_sep|>": 151664,
10
+ "<|fim_middle|>": 151660,
11
+ "<|fim_pad|>": 151662,
12
+ "<|fim_prefix|>": 151659,
13
+ "<|fim_suffix|>": 151661,
14
+ "<|im_end|>": 151645,
15
+ "<|im_start|>": 151644,
16
+ "<|image_pad|>": 151655,
17
+ "<|mask|>": 151668,
18
+ "<|object_ref_end|>": 151647,
19
+ "<|object_ref_start|>": 151646,
20
+ "<|quad_end|>": 151651,
21
+ "<|quad_start|>": 151650,
22
+ "<|reflect|>": 151666,
23
+ "<|repo_name|>": 151663,
24
+ "<|video_pad|>": 151656,
25
+ "<|vision_end|>": 151653,
26
+ "<|vision_pad|>": 151654,
27
+ "<|vision_start|>": 151652
28
+ }
all_results.json ADDED
@@ -0,0 +1,12 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 1.9957356076759063,
3
+ "eval_loss": 0.10283510386943817,
4
+ "eval_runtime": 1.4278,
5
+ "eval_samples_per_second": 21.011,
6
+ "eval_steps_per_second": 0.7,
7
+ "total_flos": 140358569164800.0,
8
+ "train_loss": 0.10031582892705233,
9
+ "train_runtime": 1756.1076,
10
+ "train_samples_per_second": 34.132,
11
+ "train_steps_per_second": 0.266
12
+ }
config.json ADDED
@@ -0,0 +1,30 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_name_or_path": "/proj/long-multi/zfchen/LLaMA-Factory/Qwen2.5-Math-7B",
3
+ "architectures": [
4
+ "Qwen2ForCausalLM"
5
+ ],
6
+ "attention_dropout": 0.0,
7
+ "bos_token_id": 151643,
8
+ "eos_token_id": 151643,
9
+ "hidden_act": "silu",
10
+ "hidden_size": 3584,
11
+ "initializer_range": 0.02,
12
+ "intermediate_size": 18944,
13
+ "max_position_embeddings": 4096,
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": 10000,
22
+ "sliding_window": null,
23
+ "tie_word_embeddings": false,
24
+ "torch_dtype": "bfloat16",
25
+ "transformers_version": "4.45.2",
26
+ "use_cache": false,
27
+ "use_mrope": false,
28
+ "use_sliding_window": false,
29
+ "vocab_size": 152064
30
+ }
eval_results.json ADDED
@@ -0,0 +1,7 @@
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 1.9957356076759063,
3
+ "eval_loss": 0.10283510386943817,
4
+ "eval_runtime": 1.4278,
5
+ "eval_samples_per_second": 21.011,
6
+ "eval_steps_per_second": 0.7
7
+ }
generation_config.json ADDED
@@ -0,0 +1,6 @@
 
 
 
 
 
 
 
1
+ {
2
+ "bos_token_id": 151643,
3
+ "eos_token_id": 151643,
4
+ "max_new_tokens": 2048,
5
+ "transformers_version": "4.45.2"
6
+ }
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 sha256:39861c992e6e2bb326bbf65f44e935cb85ff8413151445e0a3b7b07ac00411c1
3
+ size 4877660776
model-00002-of-00004.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:8e145b303e260dfbf90e2d24ec21de98a5d65883f9a8f67e3b1357d4cc7073fd
3
+ size 4932751008
model-00003-of-00004.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:8025346c348530a5fa576db5af4347ae7d6d6d1889a1b63e394acc7a0ac6975b
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:cc6a54e2493a7f3eccc17558ac13ed09464692cacde2a9acf1ba9f2e0b415bd7
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
+ }
runs/Jan14_05-59-41_p2-r29-n4.bluevela.rmf.ibm.com/events.out.tfevents.1736834420.p2-r29-n4.bluevela.rmf.ibm.com.2195431.0 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:9ae3524e5ef561874bfa2bf5834dc09bf64521abb4cafc5144a539438280fa21
3
+ size 15534
runs/Jan14_05-59-41_p2-r29-n4.bluevela.rmf.ibm.com/events.out.tfevents.1736836188.p2-r29-n4.bluevela.rmf.ibm.com.2195431.1 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:41057b99e391fda3325944d5331442dba2943b38ecfee0de133a67dd65c95348
3
+ size 359
special_tokens_map.json ADDED
@@ -0,0 +1,59 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
+ "content": "<|continue|>",
18
+ "lstrip": false,
19
+ "normalized": false,
20
+ "rstrip": false,
21
+ "single_word": false
22
+ },
23
+ {
24
+ "content": "<|reflect|>",
25
+ "lstrip": false,
26
+ "normalized": false,
27
+ "rstrip": false,
28
+ "single_word": false
29
+ },
30
+ {
31
+ "content": "<|explore|>",
32
+ "lstrip": false,
33
+ "normalized": false,
34
+ "rstrip": false,
35
+ "single_word": false
36
+ },
37
+ {
38
+ "content": "<|mask|>",
39
+ "lstrip": false,
40
+ "normalized": false,
41
+ "rstrip": false,
42
+ "single_word": false
43
+ }
44
+ ],
45
+ "eos_token": {
46
+ "content": "<|im_end|>",
47
+ "lstrip": false,
48
+ "normalized": false,
49
+ "rstrip": false,
50
+ "single_word": false
51
+ },
52
+ "pad_token": {
53
+ "content": "<|endoftext|>",
54
+ "lstrip": false,
55
+ "normalized": false,
56
+ "rstrip": false,
57
+ "single_word": false
58
+ }
59
+ }
tokenizer.json ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:0d90f2533b7aa12be533c50cc84ccdb70bc17a72a9c81167e602e78c72f1393c
3
+ size 11422646
tokenizer_config.json ADDED
@@ -0,0 +1,244 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
+ "151665": {
182
+ "content": "<|continue|>",
183
+ "lstrip": false,
184
+ "normalized": false,
185
+ "rstrip": false,
186
+ "single_word": false,
187
+ "special": true
188
+ },
189
+ "151666": {
190
+ "content": "<|reflect|>",
191
+ "lstrip": false,
192
+ "normalized": false,
193
+ "rstrip": false,
194
+ "single_word": false,
195
+ "special": true
196
+ },
197
+ "151667": {
198
+ "content": "<|explore|>",
199
+ "lstrip": false,
200
+ "normalized": false,
201
+ "rstrip": false,
202
+ "single_word": false,
203
+ "special": true
204
+ },
205
+ "151668": {
206
+ "content": "<|mask|>",
207
+ "lstrip": false,
208
+ "normalized": false,
209
+ "rstrip": false,
210
+ "single_word": false,
211
+ "special": true
212
+ }
213
+ },
214
+ "additional_special_tokens": [
215
+ "<|im_start|>",
216
+ "<|im_end|>",
217
+ "<|object_ref_start|>",
218
+ "<|object_ref_end|>",
219
+ "<|box_start|>",
220
+ "<|box_end|>",
221
+ "<|quad_start|>",
222
+ "<|quad_end|>",
223
+ "<|vision_start|>",
224
+ "<|vision_end|>",
225
+ "<|vision_pad|>",
226
+ "<|image_pad|>",
227
+ "<|video_pad|>",
228
+ "<|continue|>",
229
+ "<|reflect|>",
230
+ "<|explore|>",
231
+ "<|mask|>"
232
+ ],
233
+ "bos_token": null,
234
+ "chat_template": "{%- if tools %}\n {{- '<|im_start|>system\\n' }}\n {%- if messages[0]['role'] == 'system' %}\n {{- messages[0]['content'] }}\n {%- else %}\n {{- 'Please reason step by step, and put your final answer within \\\\boxed{}.' }}\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\\nPlease reason step by step, and put your final answer within \\\\boxed{}.<|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",
235
+ "clean_up_tokenization_spaces": false,
236
+ "eos_token": "<|im_end|>",
237
+ "errors": "replace",
238
+ "model_max_length": 131072,
239
+ "pad_token": "<|endoftext|>",
240
+ "padding_side": "right",
241
+ "split_special_tokens": false,
242
+ "tokenizer_class": "Qwen2Tokenizer",
243
+ "unk_token": null
244
+ }
train_results.json ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 1.9957356076759063,
3
+ "total_flos": 140358569164800.0,
4
+ "train_loss": 0.10031582892705233,
5
+ "train_runtime": 1756.1076,
6
+ "train_samples_per_second": 34.132,
7
+ "train_steps_per_second": 0.266
8
+ }
trainer_log.jsonl ADDED
@@ -0,0 +1,47 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {"current_steps": 10, "total_steps": 468, "loss": 0.432, "learning_rate": 1.3333333333333333e-05, "epoch": 0.042643923240938165, "percentage": 2.14, "elapsed_time": "0:00:46", "remaining_time": "0:35:16"}
2
+ {"current_steps": 20, "total_steps": 468, "loss": 0.266, "learning_rate": 1.999398868012663e-05, "epoch": 0.08528784648187633, "percentage": 4.27, "elapsed_time": "0:01:24", "remaining_time": "0:31:30"}
3
+ {"current_steps": 30, "total_steps": 468, "loss": 0.189, "learning_rate": 1.9945941475610623e-05, "epoch": 0.1279317697228145, "percentage": 6.41, "elapsed_time": "0:02:03", "remaining_time": "0:29:56"}
4
+ {"current_steps": 40, "total_steps": 468, "loss": 0.1405, "learning_rate": 1.9850078058821615e-05, "epoch": 0.17057569296375266, "percentage": 8.55, "elapsed_time": "0:02:41", "remaining_time": "0:28:52"}
5
+ {"current_steps": 50, "total_steps": 468, "loss": 0.1352, "learning_rate": 1.970685930372489e-05, "epoch": 0.21321961620469082, "percentage": 10.68, "elapsed_time": "0:03:21", "remaining_time": "0:28:01"}
6
+ {"current_steps": 60, "total_steps": 468, "loss": 0.1311, "learning_rate": 1.951697375030553e-05, "epoch": 0.255863539445629, "percentage": 12.82, "elapsed_time": "0:03:58", "remaining_time": "0:26:59"}
7
+ {"current_steps": 70, "total_steps": 468, "loss": 0.1211, "learning_rate": 1.9281334294336364e-05, "epoch": 0.29850746268656714, "percentage": 14.96, "elapsed_time": "0:04:39", "remaining_time": "0:26:28"}
8
+ {"current_steps": 80, "total_steps": 468, "loss": 0.1204, "learning_rate": 1.90010737985307e-05, "epoch": 0.3411513859275053, "percentage": 17.09, "elapsed_time": "0:05:18", "remaining_time": "0:25:46"}
9
+ {"current_steps": 90, "total_steps": 468, "loss": 0.1216, "learning_rate": 1.8677539646179706e-05, "epoch": 0.3837953091684435, "percentage": 19.23, "elapsed_time": "0:05:55", "remaining_time": "0:24:52"}
10
+ {"current_steps": 100, "total_steps": 468, "loss": 0.1187, "learning_rate": 1.831228726345841e-05, "epoch": 0.42643923240938164, "percentage": 21.37, "elapsed_time": "0:06:32", "remaining_time": "0:24:05"}
11
+ {"current_steps": 110, "total_steps": 468, "loss": 0.1147, "learning_rate": 1.7907072641542527e-05, "epoch": 0.4690831556503198, "percentage": 23.5, "elapsed_time": "0:07:11", "remaining_time": "0:23:23"}
12
+ {"current_steps": 120, "total_steps": 468, "loss": 0.1123, "learning_rate": 1.746384389448694e-05, "epoch": 0.511727078891258, "percentage": 25.64, "elapsed_time": "0:07:50", "remaining_time": "0:22:44"}
13
+ {"current_steps": 130, "total_steps": 468, "loss": 0.1122, "learning_rate": 1.6984731893452174e-05, "epoch": 0.5543710021321961, "percentage": 27.78, "elapsed_time": "0:08:29", "remaining_time": "0:22:03"}
14
+ {"current_steps": 140, "total_steps": 468, "loss": 0.1104, "learning_rate": 1.647204002230594e-05, "epoch": 0.5970149253731343, "percentage": 29.91, "elapsed_time": "0:09:06", "remaining_time": "0:21:20"}
15
+ {"current_steps": 150, "total_steps": 468, "loss": 0.1112, "learning_rate": 1.592823310385073e-05, "epoch": 0.6396588486140725, "percentage": 32.05, "elapsed_time": "0:09:46", "remaining_time": "0:20:43"}
16
+ {"current_steps": 160, "total_steps": 468, "loss": 0.1124, "learning_rate": 1.5355925549915943e-05, "epoch": 0.6823027718550106, "percentage": 34.19, "elapsed_time": "0:10:26", "remaining_time": "0:20:05"}
17
+ {"current_steps": 170, "total_steps": 468, "loss": 0.1137, "learning_rate": 1.4757868792284231e-05, "epoch": 0.7249466950959488, "percentage": 36.32, "elapsed_time": "0:11:04", "remaining_time": "0:19:24"}
18
+ {"current_steps": 180, "total_steps": 468, "loss": 0.1097, "learning_rate": 1.4136938054879284e-05, "epoch": 0.767590618336887, "percentage": 38.46, "elapsed_time": "0:11:41", "remaining_time": "0:18:42"}
19
+ {"current_steps": 190, "total_steps": 468, "loss": 0.112, "learning_rate": 1.3496118530809195e-05, "epoch": 0.8102345415778252, "percentage": 40.6, "elapsed_time": "0:12:19", "remaining_time": "0:18:02"}
20
+ {"current_steps": 200, "total_steps": 468, "loss": 0.1079, "learning_rate": 1.2838491030720882e-05, "epoch": 0.8528784648187633, "percentage": 42.74, "elapsed_time": "0:12:58", "remaining_time": "0:17:23"}
21
+ {"current_steps": 210, "total_steps": 468, "loss": 0.1087, "learning_rate": 1.2167217171462566e-05, "epoch": 0.8955223880597015, "percentage": 44.87, "elapsed_time": "0:13:39", "remaining_time": "0:16:46"}
22
+ {"current_steps": 220, "total_steps": 468, "loss": 0.1115, "learning_rate": 1.148552417626157e-05, "epoch": 0.9381663113006397, "percentage": 47.01, "elapsed_time": "0:14:17", "remaining_time": "0:16:07"}
23
+ {"current_steps": 230, "total_steps": 468, "loss": 0.108, "learning_rate": 1.0796689359492154e-05, "epoch": 0.9808102345415778, "percentage": 49.15, "elapsed_time": "0:14:49", "remaining_time": "0:15:20"}
24
+ {"current_steps": 240, "total_steps": 468, "loss": 0.0849, "learning_rate": 1.0104024370624644e-05, "epoch": 1.023454157782516, "percentage": 51.28, "elapsed_time": "0:15:27", "remaining_time": "0:14:41"}
25
+ {"current_steps": 250, "total_steps": 468, "loss": 0.0661, "learning_rate": 9.410859273104823e-06, "epoch": 1.0660980810234542, "percentage": 53.42, "elapsed_time": "0:16:05", "remaining_time": "0:14:02"}
26
+ {"current_steps": 260, "total_steps": 468, "loss": 0.0642, "learning_rate": 8.720526534706052e-06, "epoch": 1.1087420042643923, "percentage": 55.56, "elapsed_time": "0:16:41", "remaining_time": "0:13:21"}
27
+ {"current_steps": 270, "total_steps": 468, "loss": 0.0645, "learning_rate": 8.036345006322358e-06, "epoch": 1.1513859275053304, "percentage": 57.69, "elapsed_time": "0:17:19", "remaining_time": "0:12:42"}
28
+ {"current_steps": 280, "total_steps": 468, "loss": 0.0621, "learning_rate": 7.361603966226165e-06, "epoch": 1.1940298507462686, "percentage": 59.83, "elapsed_time": "0:17:54", "remaining_time": "0:12:01"}
29
+ {"current_steps": 290, "total_steps": 468, "loss": 0.0595, "learning_rate": 6.6995473064996455e-06, "epoch": 1.236673773987207, "percentage": 61.97, "elapsed_time": "0:18:35", "remaining_time": "0:11:24"}
30
+ {"current_steps": 300, "total_steps": 468, "loss": 0.0622, "learning_rate": 6.053357937665237e-06, "epoch": 1.279317697228145, "percentage": 64.1, "elapsed_time": "0:19:09", "remaining_time": "0:10:43"}
31
+ {"current_steps": 310, "total_steps": 468, "loss": 0.0608, "learning_rate": 5.4261424864917075e-06, "epoch": 1.3219616204690832, "percentage": 66.24, "elapsed_time": "0:19:45", "remaining_time": "0:10:04"}
32
+ {"current_steps": 320, "total_steps": 468, "loss": 0.061, "learning_rate": 4.82091636054281e-06, "epoch": 1.3646055437100213, "percentage": 68.38, "elapsed_time": "0:20:22", "remaining_time": "0:09:25"}
33
+ {"current_steps": 330, "total_steps": 468, "loss": 0.0605, "learning_rate": 4.240589251272342e-06, "epoch": 1.4072494669509594, "percentage": 70.51, "elapsed_time": "0:20:58", "remaining_time": "0:08:46"}
34
+ {"current_steps": 340, "total_steps": 468, "loss": 0.0631, "learning_rate": 3.687951145361073e-06, "epoch": 1.4498933901918978, "percentage": 72.65, "elapsed_time": "0:21:35", "remaining_time": "0:08:07"}
35
+ {"current_steps": 350, "total_steps": 468, "loss": 0.06, "learning_rate": 3.165658911547592e-06, "epoch": 1.4925373134328357, "percentage": 74.79, "elapsed_time": "0:22:10", "remaining_time": "0:07:28"}
36
+ {"current_steps": 360, "total_steps": 468, "loss": 0.0612, "learning_rate": 2.6762235274383775e-06, "epoch": 1.535181236673774, "percentage": 76.92, "elapsed_time": "0:22:49", "remaining_time": "0:06:50"}
37
+ {"current_steps": 370, "total_steps": 468, "loss": 0.0616, "learning_rate": 2.2219980077055756e-06, "epoch": 1.5778251599147122, "percentage": 79.06, "elapsed_time": "0:23:22", "remaining_time": "0:06:11"}
38
+ {"current_steps": 380, "total_steps": 468, "loss": 0.0593, "learning_rate": 1.8051660917090718e-06, "epoch": 1.6204690831556503, "percentage": 81.2, "elapsed_time": "0:23:57", "remaining_time": "0:05:32"}
39
+ {"current_steps": 390, "total_steps": 468, "loss": 0.0608, "learning_rate": 1.4277317449282834e-06, "epoch": 1.6631130063965884, "percentage": 83.33, "elapsed_time": "0:24:31", "remaining_time": "0:04:54"}
40
+ {"current_steps": 400, "total_steps": 468, "loss": 0.0603, "learning_rate": 1.0915095246767692e-06, "epoch": 1.7057569296375266, "percentage": 85.47, "elapsed_time": "0:25:07", "remaining_time": "0:04:16"}
41
+ {"current_steps": 410, "total_steps": 468, "loss": 0.0607, "learning_rate": 7.981158564175074e-07, "epoch": 1.748400852878465, "percentage": 87.61, "elapsed_time": "0:25:40", "remaining_time": "0:03:37"}
42
+ {"current_steps": 420, "total_steps": 468, "loss": 0.0569, "learning_rate": 5.489612626189245e-07, "epoch": 1.7910447761194028, "percentage": 89.74, "elapsed_time": "0:26:12", "remaining_time": "0:02:59"}
43
+ {"current_steps": 430, "total_steps": 468, "loss": 0.0604, "learning_rate": 3.452435815123323e-07, "epoch": 1.8336886993603412, "percentage": 91.88, "elapsed_time": "0:26:46", "remaining_time": "0:02:21"}
44
+ {"current_steps": 440, "total_steps": 468, "loss": 0.0609, "learning_rate": 1.8794220835231413e-07, "epoch": 1.8763326226012793, "percentage": 94.02, "elapsed_time": "0:27:19", "remaining_time": "0:01:44"}
45
+ {"current_steps": 450, "total_steps": 468, "loss": 0.0597, "learning_rate": 7.781338686584928e-08, "epoch": 1.9189765458422174, "percentage": 96.15, "elapsed_time": "0:27:52", "remaining_time": "0:01:06"}
46
+ {"current_steps": 460, "total_steps": 468, "loss": 0.0618, "learning_rate": 1.5386573527067516e-08, "epoch": 1.9616204690831558, "percentage": 98.29, "elapsed_time": "0:28:25", "remaining_time": "0:00:29"}
47
+ {"current_steps": 468, "total_steps": 468, "epoch": 1.9957356076759063, "percentage": 100.0, "elapsed_time": "0:29:09", "remaining_time": "0:00:00"}
trainer_state.json ADDED
@@ -0,0 +1,364 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": null,
3
+ "best_model_checkpoint": null,
4
+ "epoch": 1.9957356076759063,
5
+ "eval_steps": 1000,
6
+ "global_step": 468,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.042643923240938165,
13
+ "grad_norm": 3.179123776279851,
14
+ "learning_rate": 1.3333333333333333e-05,
15
+ "loss": 0.432,
16
+ "step": 10
17
+ },
18
+ {
19
+ "epoch": 0.08528784648187633,
20
+ "grad_norm": 2.0834838340230113,
21
+ "learning_rate": 1.999398868012663e-05,
22
+ "loss": 0.266,
23
+ "step": 20
24
+ },
25
+ {
26
+ "epoch": 0.1279317697228145,
27
+ "grad_norm": 1.839885995199569,
28
+ "learning_rate": 1.9945941475610623e-05,
29
+ "loss": 0.189,
30
+ "step": 30
31
+ },
32
+ {
33
+ "epoch": 0.17057569296375266,
34
+ "grad_norm": 0.3374452319668954,
35
+ "learning_rate": 1.9850078058821615e-05,
36
+ "loss": 0.1405,
37
+ "step": 40
38
+ },
39
+ {
40
+ "epoch": 0.21321961620469082,
41
+ "grad_norm": 0.35572662705742497,
42
+ "learning_rate": 1.970685930372489e-05,
43
+ "loss": 0.1352,
44
+ "step": 50
45
+ },
46
+ {
47
+ "epoch": 0.255863539445629,
48
+ "grad_norm": 0.34732501425850515,
49
+ "learning_rate": 1.951697375030553e-05,
50
+ "loss": 0.1311,
51
+ "step": 60
52
+ },
53
+ {
54
+ "epoch": 0.29850746268656714,
55
+ "grad_norm": 0.29120729702844944,
56
+ "learning_rate": 1.9281334294336364e-05,
57
+ "loss": 0.1211,
58
+ "step": 70
59
+ },
60
+ {
61
+ "epoch": 0.3411513859275053,
62
+ "grad_norm": 0.2548677782780123,
63
+ "learning_rate": 1.90010737985307e-05,
64
+ "loss": 0.1204,
65
+ "step": 80
66
+ },
67
+ {
68
+ "epoch": 0.3837953091684435,
69
+ "grad_norm": 0.23124279128247788,
70
+ "learning_rate": 1.8677539646179706e-05,
71
+ "loss": 0.1216,
72
+ "step": 90
73
+ },
74
+ {
75
+ "epoch": 0.42643923240938164,
76
+ "grad_norm": 0.2233543638243816,
77
+ "learning_rate": 1.831228726345841e-05,
78
+ "loss": 0.1187,
79
+ "step": 100
80
+ },
81
+ {
82
+ "epoch": 0.4690831556503198,
83
+ "grad_norm": 0.21228773844702403,
84
+ "learning_rate": 1.7907072641542527e-05,
85
+ "loss": 0.1147,
86
+ "step": 110
87
+ },
88
+ {
89
+ "epoch": 0.511727078891258,
90
+ "grad_norm": 0.21240166483768347,
91
+ "learning_rate": 1.746384389448694e-05,
92
+ "loss": 0.1123,
93
+ "step": 120
94
+ },
95
+ {
96
+ "epoch": 0.5543710021321961,
97
+ "grad_norm": 0.22092994006720384,
98
+ "learning_rate": 1.6984731893452174e-05,
99
+ "loss": 0.1122,
100
+ "step": 130
101
+ },
102
+ {
103
+ "epoch": 0.5970149253731343,
104
+ "grad_norm": 0.2146266283518355,
105
+ "learning_rate": 1.647204002230594e-05,
106
+ "loss": 0.1104,
107
+ "step": 140
108
+ },
109
+ {
110
+ "epoch": 0.6396588486140725,
111
+ "grad_norm": 0.20918171426009047,
112
+ "learning_rate": 1.592823310385073e-05,
113
+ "loss": 0.1112,
114
+ "step": 150
115
+ },
116
+ {
117
+ "epoch": 0.6823027718550106,
118
+ "grad_norm": 0.1967909221104072,
119
+ "learning_rate": 1.5355925549915943e-05,
120
+ "loss": 0.1124,
121
+ "step": 160
122
+ },
123
+ {
124
+ "epoch": 0.7249466950959488,
125
+ "grad_norm": 0.2240605099251795,
126
+ "learning_rate": 1.4757868792284231e-05,
127
+ "loss": 0.1137,
128
+ "step": 170
129
+ },
130
+ {
131
+ "epoch": 0.767590618336887,
132
+ "grad_norm": 0.20377236444556038,
133
+ "learning_rate": 1.4136938054879284e-05,
134
+ "loss": 0.1097,
135
+ "step": 180
136
+ },
137
+ {
138
+ "epoch": 0.8102345415778252,
139
+ "grad_norm": 0.2106109081511342,
140
+ "learning_rate": 1.3496118530809195e-05,
141
+ "loss": 0.112,
142
+ "step": 190
143
+ },
144
+ {
145
+ "epoch": 0.8528784648187633,
146
+ "grad_norm": 0.18132699922626352,
147
+ "learning_rate": 1.2838491030720882e-05,
148
+ "loss": 0.1079,
149
+ "step": 200
150
+ },
151
+ {
152
+ "epoch": 0.8955223880597015,
153
+ "grad_norm": 0.1926837140760371,
154
+ "learning_rate": 1.2167217171462566e-05,
155
+ "loss": 0.1087,
156
+ "step": 210
157
+ },
158
+ {
159
+ "epoch": 0.9381663113006397,
160
+ "grad_norm": 0.19627892114205173,
161
+ "learning_rate": 1.148552417626157e-05,
162
+ "loss": 0.1115,
163
+ "step": 220
164
+ },
165
+ {
166
+ "epoch": 0.9808102345415778,
167
+ "grad_norm": 0.19029596670392074,
168
+ "learning_rate": 1.0796689359492154e-05,
169
+ "loss": 0.108,
170
+ "step": 230
171
+ },
172
+ {
173
+ "epoch": 1.023454157782516,
174
+ "grad_norm": 0.18044861833183792,
175
+ "learning_rate": 1.0104024370624644e-05,
176
+ "loss": 0.0849,
177
+ "step": 240
178
+ },
179
+ {
180
+ "epoch": 1.0660980810234542,
181
+ "grad_norm": 0.19142738031135273,
182
+ "learning_rate": 9.410859273104823e-06,
183
+ "loss": 0.0661,
184
+ "step": 250
185
+ },
186
+ {
187
+ "epoch": 1.1087420042643923,
188
+ "grad_norm": 0.17150102289558444,
189
+ "learning_rate": 8.720526534706052e-06,
190
+ "loss": 0.0642,
191
+ "step": 260
192
+ },
193
+ {
194
+ "epoch": 1.1513859275053304,
195
+ "grad_norm": 0.2442559352462789,
196
+ "learning_rate": 8.036345006322358e-06,
197
+ "loss": 0.0645,
198
+ "step": 270
199
+ },
200
+ {
201
+ "epoch": 1.1940298507462686,
202
+ "grad_norm": 0.17495312344390224,
203
+ "learning_rate": 7.361603966226165e-06,
204
+ "loss": 0.0621,
205
+ "step": 280
206
+ },
207
+ {
208
+ "epoch": 1.236673773987207,
209
+ "grad_norm": 0.16258359858243326,
210
+ "learning_rate": 6.6995473064996455e-06,
211
+ "loss": 0.0595,
212
+ "step": 290
213
+ },
214
+ {
215
+ "epoch": 1.279317697228145,
216
+ "grad_norm": 0.17596476037955336,
217
+ "learning_rate": 6.053357937665237e-06,
218
+ "loss": 0.0622,
219
+ "step": 300
220
+ },
221
+ {
222
+ "epoch": 1.3219616204690832,
223
+ "grad_norm": 0.158017144205196,
224
+ "learning_rate": 5.4261424864917075e-06,
225
+ "loss": 0.0608,
226
+ "step": 310
227
+ },
228
+ {
229
+ "epoch": 1.3646055437100213,
230
+ "grad_norm": 0.17821374662840944,
231
+ "learning_rate": 4.82091636054281e-06,
232
+ "loss": 0.061,
233
+ "step": 320
234
+ },
235
+ {
236
+ "epoch": 1.4072494669509594,
237
+ "grad_norm": 0.1909778433139327,
238
+ "learning_rate": 4.240589251272342e-06,
239
+ "loss": 0.0605,
240
+ "step": 330
241
+ },
242
+ {
243
+ "epoch": 1.4498933901918978,
244
+ "grad_norm": 0.18171746562096064,
245
+ "learning_rate": 3.687951145361073e-06,
246
+ "loss": 0.0631,
247
+ "step": 340
248
+ },
249
+ {
250
+ "epoch": 1.4925373134328357,
251
+ "grad_norm": 0.17460796522473127,
252
+ "learning_rate": 3.165658911547592e-06,
253
+ "loss": 0.06,
254
+ "step": 350
255
+ },
256
+ {
257
+ "epoch": 1.535181236673774,
258
+ "grad_norm": 0.1810617961103566,
259
+ "learning_rate": 2.6762235274383775e-06,
260
+ "loss": 0.0612,
261
+ "step": 360
262
+ },
263
+ {
264
+ "epoch": 1.5778251599147122,
265
+ "grad_norm": 0.15880550118378636,
266
+ "learning_rate": 2.2219980077055756e-06,
267
+ "loss": 0.0616,
268
+ "step": 370
269
+ },
270
+ {
271
+ "epoch": 1.6204690831556503,
272
+ "grad_norm": 0.17610380896685834,
273
+ "learning_rate": 1.8051660917090718e-06,
274
+ "loss": 0.0593,
275
+ "step": 380
276
+ },
277
+ {
278
+ "epoch": 1.6631130063965884,
279
+ "grad_norm": 0.1852362138493889,
280
+ "learning_rate": 1.4277317449282834e-06,
281
+ "loss": 0.0608,
282
+ "step": 390
283
+ },
284
+ {
285
+ "epoch": 1.7057569296375266,
286
+ "grad_norm": 0.18397811408680578,
287
+ "learning_rate": 1.0915095246767692e-06,
288
+ "loss": 0.0603,
289
+ "step": 400
290
+ },
291
+ {
292
+ "epoch": 1.748400852878465,
293
+ "grad_norm": 0.18777942289827937,
294
+ "learning_rate": 7.981158564175074e-07,
295
+ "loss": 0.0607,
296
+ "step": 410
297
+ },
298
+ {
299
+ "epoch": 1.7910447761194028,
300
+ "grad_norm": 0.1785060533694166,
301
+ "learning_rate": 5.489612626189245e-07,
302
+ "loss": 0.0569,
303
+ "step": 420
304
+ },
305
+ {
306
+ "epoch": 1.8336886993603412,
307
+ "grad_norm": 0.17603977808158508,
308
+ "learning_rate": 3.452435815123323e-07,
309
+ "loss": 0.0604,
310
+ "step": 430
311
+ },
312
+ {
313
+ "epoch": 1.8763326226012793,
314
+ "grad_norm": 0.18882098153064591,
315
+ "learning_rate": 1.8794220835231413e-07,
316
+ "loss": 0.0609,
317
+ "step": 440
318
+ },
319
+ {
320
+ "epoch": 1.9189765458422174,
321
+ "grad_norm": 0.1838499771403163,
322
+ "learning_rate": 7.781338686584928e-08,
323
+ "loss": 0.0597,
324
+ "step": 450
325
+ },
326
+ {
327
+ "epoch": 1.9616204690831558,
328
+ "grad_norm": 0.17454958184966676,
329
+ "learning_rate": 1.5386573527067516e-08,
330
+ "loss": 0.0618,
331
+ "step": 460
332
+ },
333
+ {
334
+ "epoch": 1.9957356076759063,
335
+ "step": 468,
336
+ "total_flos": 140358569164800.0,
337
+ "train_loss": 0.10031582892705233,
338
+ "train_runtime": 1756.1076,
339
+ "train_samples_per_second": 34.132,
340
+ "train_steps_per_second": 0.266
341
+ }
342
+ ],
343
+ "logging_steps": 10,
344
+ "max_steps": 468,
345
+ "num_input_tokens_seen": 0,
346
+ "num_train_epochs": 2,
347
+ "save_steps": 5000,
348
+ "stateful_callbacks": {
349
+ "TrainerControl": {
350
+ "args": {
351
+ "should_epoch_stop": false,
352
+ "should_evaluate": false,
353
+ "should_log": false,
354
+ "should_save": true,
355
+ "should_training_stop": true
356
+ },
357
+ "attributes": {}
358
+ }
359
+ },
360
+ "total_flos": 140358569164800.0,
361
+ "train_batch_size": 4,
362
+ "trial_name": null,
363
+ "trial_params": null
364
+ }
training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:510ddc93588b392157a63e5b685e9b9ea6b8128b4f88959648a77df98a71be60
3
+ size 7224
training_loss.png ADDED
vocab.json ADDED
The diff for this file is too large to render. See raw diff