xinyan233333 commited on
Commit
eeeeab7
·
verified ·
1 Parent(s): 4cb2f48

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 +1,24 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
+ }
all_results.json ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 2.9743589743589745,
3
+ "total_flos": 12717170049024.0,
4
+ "train_loss": 0.5604205996483221,
5
+ "train_runtime": 1532.2128,
6
+ "train_samples_per_second": 7.327,
7
+ "train_steps_per_second": 0.114
8
+ }
config.json ADDED
@@ -0,0 +1,28 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "architectures": [
3
+ "Qwen2ForCausalLM"
4
+ ],
5
+ "attention_dropout": 0.0,
6
+ "bos_token_id": 151643,
7
+ "eos_token_id": 151645,
8
+ "hidden_act": "silu",
9
+ "hidden_size": 3584,
10
+ "initializer_range": 0.02,
11
+ "intermediate_size": 18944,
12
+ "max_position_embeddings": 32768,
13
+ "max_window_layers": 28,
14
+ "model_type": "qwen2",
15
+ "num_attention_heads": 28,
16
+ "num_hidden_layers": 28,
17
+ "num_key_value_heads": 4,
18
+ "rms_norm_eps": 1e-06,
19
+ "rope_scaling": null,
20
+ "rope_theta": 1000000.0,
21
+ "sliding_window": null,
22
+ "tie_word_embeddings": false,
23
+ "torch_dtype": "bfloat16",
24
+ "transformers_version": "4.45.0",
25
+ "use_cache": false,
26
+ "use_sliding_window": false,
27
+ "vocab_size": 152064
28
+ }
generation_config.json ADDED
@@ -0,0 +1,14 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "bos_token_id": 151643,
3
+ "do_sample": true,
4
+ "eos_token_id": [
5
+ 151645,
6
+ 151643
7
+ ],
8
+ "pad_token_id": 151643,
9
+ "repetition_penalty": 1.05,
10
+ "temperature": 0.7,
11
+ "top_k": 20,
12
+ "top_p": 0.8,
13
+ "transformers_version": "4.45.0"
14
+ }
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:d54545c51708e26569609df6d5d8ebf0acec8300ef426645bc2359573ca56c0d
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:b31d6c82833387cd3caaaf7ff05db07ccf07f00aca6710094c3c2470ce1cdd1e
3
+ size 4932751008
model-00003-of-00004.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:136531ae9bd69548c0c24d0bd6a832181c1a8d5cfcc177c1b67e083a375c3ddf
3
+ size 4330865200
model-00004-of-00004.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:5d24ed7117fbb5369f24e22a7406defb8e4f4e52ca7305ae08c184ab89fc7bf2
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": "<|im_end|>",
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": "<|im_end|>",
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 +1,175 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {"current_steps": 1, "total_steps": 174, "loss": 0.6931, "accuracy": 0.0, "lr": 5.555555555555555e-09, "epoch": 0.017094017094017096, "percentage": 0.57, "elapsed_time": "0:00:08", "remaining_time": "0:25:49"}
2
+ {"current_steps": 2, "total_steps": 174, "loss": 0.6931, "accuracy": 0.0, "lr": 1.111111111111111e-08, "epoch": 0.03418803418803419, "percentage": 1.15, "elapsed_time": "0:00:16", "remaining_time": "0:23:46"}
3
+ {"current_steps": 3, "total_steps": 174, "loss": 0.691, "accuracy": 0.515625, "lr": 1.6666666666666664e-08, "epoch": 0.05128205128205128, "percentage": 1.72, "elapsed_time": "0:00:24", "remaining_time": "0:22:56"}
4
+ {"current_steps": 4, "total_steps": 174, "loss": 0.692, "accuracy": 0.609375, "lr": 2.222222222222222e-08, "epoch": 0.06837606837606838, "percentage": 2.3, "elapsed_time": "0:00:31", "remaining_time": "0:22:31"}
5
+ {"current_steps": 5, "total_steps": 174, "loss": 0.6824, "accuracy": 0.59375, "lr": 2.7777777777777777e-08, "epoch": 0.08547008547008547, "percentage": 2.87, "elapsed_time": "0:00:39", "remaining_time": "0:22:05"}
6
+ {"current_steps": 6, "total_steps": 174, "loss": 0.7075, "accuracy": 0.453125, "lr": 3.333333333333333e-08, "epoch": 0.10256410256410256, "percentage": 3.45, "elapsed_time": "0:00:47", "remaining_time": "0:22:09"}
7
+ {"current_steps": 7, "total_steps": 174, "loss": 0.6936, "accuracy": 0.453125, "lr": 3.888888888888889e-08, "epoch": 0.11965811965811966, "percentage": 4.02, "elapsed_time": "0:00:54", "remaining_time": "0:21:49"}
8
+ {"current_steps": 8, "total_steps": 174, "loss": 0.7032, "accuracy": 0.46875, "lr": 4.444444444444444e-08, "epoch": 0.13675213675213677, "percentage": 4.6, "elapsed_time": "0:01:02", "remaining_time": "0:21:34"}
9
+ {"current_steps": 9, "total_steps": 174, "loss": 0.6841, "accuracy": 0.53125, "lr": 5e-08, "epoch": 0.15384615384615385, "percentage": 5.17, "elapsed_time": "0:01:09", "remaining_time": "0:21:23"}
10
+ {"current_steps": 10, "total_steps": 174, "loss": 0.6866, "accuracy": 0.5625, "lr": 5.5555555555555555e-08, "epoch": 0.17094017094017094, "percentage": 5.75, "elapsed_time": "0:01:17", "remaining_time": "0:21:11"}
11
+ {"current_steps": 11, "total_steps": 174, "loss": 0.6977, "accuracy": 0.453125, "lr": 6.111111111111111e-08, "epoch": 0.18803418803418803, "percentage": 6.32, "elapsed_time": "0:01:24", "remaining_time": "0:20:58"}
12
+ {"current_steps": 12, "total_steps": 174, "loss": 0.6923, "accuracy": 0.578125, "lr": 6.666666666666665e-08, "epoch": 0.20512820512820512, "percentage": 6.9, "elapsed_time": "0:01:32", "remaining_time": "0:20:45"}
13
+ {"current_steps": 13, "total_steps": 174, "loss": 0.6932, "accuracy": 0.640625, "lr": 7.222222222222221e-08, "epoch": 0.2222222222222222, "percentage": 7.47, "elapsed_time": "0:01:39", "remaining_time": "0:20:37"}
14
+ {"current_steps": 14, "total_steps": 174, "loss": 0.7059, "accuracy": 0.578125, "lr": 7.777777777777778e-08, "epoch": 0.23931623931623933, "percentage": 8.05, "elapsed_time": "0:01:48", "remaining_time": "0:20:36"}
15
+ {"current_steps": 15, "total_steps": 174, "loss": 0.686, "accuracy": 0.5, "lr": 8.333333333333334e-08, "epoch": 0.2564102564102564, "percentage": 8.62, "elapsed_time": "0:01:55", "remaining_time": "0:20:28"}
16
+ {"current_steps": 16, "total_steps": 174, "loss": 0.6733, "accuracy": 0.625, "lr": 8.888888888888888e-08, "epoch": 0.27350427350427353, "percentage": 9.2, "elapsed_time": "0:02:03", "remaining_time": "0:20:17"}
17
+ {"current_steps": 17, "total_steps": 174, "loss": 0.7008, "accuracy": 0.453125, "lr": 9.444444444444444e-08, "epoch": 0.2905982905982906, "percentage": 9.77, "elapsed_time": "0:02:10", "remaining_time": "0:20:06"}
18
+ {"current_steps": 18, "total_steps": 174, "loss": 0.6918, "accuracy": 0.546875, "lr": 1e-07, "epoch": 0.3076923076923077, "percentage": 10.34, "elapsed_time": "0:02:18", "remaining_time": "0:19:56"}
19
+ {"current_steps": 19, "total_steps": 174, "loss": 0.6822, "accuracy": 0.484375, "lr": 9.99898614492425e-08, "epoch": 0.3247863247863248, "percentage": 10.92, "elapsed_time": "0:02:25", "remaining_time": "0:19:47"}
20
+ {"current_steps": 20, "total_steps": 174, "loss": 0.6705, "accuracy": 0.640625, "lr": 9.995944990857847e-08, "epoch": 0.3418803418803419, "percentage": 11.49, "elapsed_time": "0:02:32", "remaining_time": "0:19:37"}
21
+ {"current_steps": 21, "total_steps": 174, "loss": 0.6651, "accuracy": 0.625, "lr": 9.990877771116587e-08, "epoch": 0.358974358974359, "percentage": 12.07, "elapsed_time": "0:02:40", "remaining_time": "0:19:28"}
22
+ {"current_steps": 22, "total_steps": 174, "loss": 0.6631, "accuracy": 0.6875, "lr": 9.98378654067105e-08, "epoch": 0.37606837606837606, "percentage": 12.64, "elapsed_time": "0:02:47", "remaining_time": "0:19:19"}
23
+ {"current_steps": 23, "total_steps": 174, "loss": 0.6833, "accuracy": 0.59375, "lr": 9.974674175313226e-08, "epoch": 0.39316239316239315, "percentage": 13.22, "elapsed_time": "0:02:55", "remaining_time": "0:19:09"}
24
+ {"current_steps": 24, "total_steps": 174, "loss": 0.6579, "accuracy": 0.640625, "lr": 9.963544370490268e-08, "epoch": 0.41025641025641024, "percentage": 13.79, "elapsed_time": "0:03:02", "remaining_time": "0:19:00"}
25
+ {"current_steps": 25, "total_steps": 174, "loss": 0.6913, "accuracy": 0.6875, "lr": 9.95040163980582e-08, "epoch": 0.42735042735042733, "percentage": 14.37, "elapsed_time": "0:03:09", "remaining_time": "0:18:51"}
26
+ {"current_steps": 26, "total_steps": 174, "loss": 0.647, "accuracy": 0.765625, "lr": 9.935251313189563e-08, "epoch": 0.4444444444444444, "percentage": 14.94, "elapsed_time": "0:03:17", "remaining_time": "0:18:42"}
27
+ {"current_steps": 27, "total_steps": 174, "loss": 0.6412, "accuracy": 0.6875, "lr": 9.918099534735718e-08, "epoch": 0.46153846153846156, "percentage": 15.52, "elapsed_time": "0:03:24", "remaining_time": "0:18:34"}
28
+ {"current_steps": 28, "total_steps": 174, "loss": 0.6588, "accuracy": 0.625, "lr": 9.898953260211338e-08, "epoch": 0.47863247863247865, "percentage": 16.09, "elapsed_time": "0:03:32", "remaining_time": "0:18:25"}
29
+ {"current_steps": 29, "total_steps": 174, "loss": 0.6792, "accuracy": 0.65625, "lr": 9.87782025423547e-08, "epoch": 0.49572649572649574, "percentage": 16.67, "elapsed_time": "0:03:39", "remaining_time": "0:18:16"}
30
+ {"current_steps": 30, "total_steps": 174, "loss": 0.6541, "accuracy": 0.6875, "lr": 9.85470908713026e-08, "epoch": 0.5128205128205128, "percentage": 17.24, "elapsed_time": "0:03:46", "remaining_time": "0:18:07"}
31
+ {"current_steps": 31, "total_steps": 174, "loss": 0.5934, "accuracy": 0.8125, "lr": 9.82962913144534e-08, "epoch": 0.5299145299145299, "percentage": 17.82, "elapsed_time": "0:03:54", "remaining_time": "0:17:59"}
32
+ {"current_steps": 32, "total_steps": 174, "loss": 0.623, "accuracy": 0.703125, "lr": 9.802590558156862e-08, "epoch": 0.5470085470085471, "percentage": 18.39, "elapsed_time": "0:04:01", "remaining_time": "0:17:51"}
33
+ {"current_steps": 33, "total_steps": 174, "loss": 0.6147, "accuracy": 0.75, "lr": 9.773604332542727e-08, "epoch": 0.5641025641025641, "percentage": 18.97, "elapsed_time": "0:04:08", "remaining_time": "0:17:42"}
34
+ {"current_steps": 34, "total_steps": 174, "loss": 0.6078, "accuracy": 0.765625, "lr": 9.742682209735726e-08, "epoch": 0.5811965811965812, "percentage": 19.54, "elapsed_time": "0:04:15", "remaining_time": "0:17:33"}
35
+ {"current_steps": 35, "total_steps": 174, "loss": 0.578, "accuracy": 0.796875, "lr": 9.709836729956324e-08, "epoch": 0.5982905982905983, "percentage": 20.11, "elapsed_time": "0:04:23", "remaining_time": "0:17:25"}
36
+ {"current_steps": 36, "total_steps": 174, "loss": 0.6051, "accuracy": 0.765625, "lr": 9.675081213427075e-08, "epoch": 0.6153846153846154, "percentage": 20.69, "elapsed_time": "0:04:30", "remaining_time": "0:17:17"}
37
+ {"current_steps": 37, "total_steps": 174, "loss": 0.6227, "accuracy": 0.671875, "lr": 9.638429754970714e-08, "epoch": 0.6324786324786325, "percentage": 21.26, "elapsed_time": "0:04:38", "remaining_time": "0:17:09"}
38
+ {"current_steps": 38, "total_steps": 174, "loss": 0.5902, "accuracy": 0.71875, "lr": 9.599897218294121e-08, "epoch": 0.6495726495726496, "percentage": 21.84, "elapsed_time": "0:04:45", "remaining_time": "0:17:01"}
39
+ {"current_steps": 39, "total_steps": 174, "loss": 0.5737, "accuracy": 0.78125, "lr": 9.55949922996045e-08, "epoch": 0.6666666666666666, "percentage": 22.41, "elapsed_time": "0:04:52", "remaining_time": "0:16:52"}
40
+ {"current_steps": 40, "total_steps": 174, "loss": 0.6205, "accuracy": 0.703125, "lr": 9.51725217305191e-08, "epoch": 0.6837606837606838, "percentage": 22.99, "elapsed_time": "0:04:59", "remaining_time": "0:16:44"}
41
+ {"current_steps": 41, "total_steps": 174, "loss": 0.6035, "accuracy": 0.71875, "lr": 9.473173180525737e-08, "epoch": 0.7008547008547008, "percentage": 23.56, "elapsed_time": "0:05:07", "remaining_time": "0:16:37"}
42
+ {"current_steps": 42, "total_steps": 174, "loss": 0.6593, "accuracy": 0.625, "lr": 9.427280128266049e-08, "epoch": 0.717948717948718, "percentage": 24.14, "elapsed_time": "0:05:15", "remaining_time": "0:16:30"}
43
+ {"current_steps": 43, "total_steps": 174, "loss": 0.5557, "accuracy": 0.796875, "lr": 9.379591627834438e-08, "epoch": 0.7350427350427351, "percentage": 24.71, "elapsed_time": "0:05:22", "remaining_time": "0:16:22"}
44
+ {"current_steps": 44, "total_steps": 174, "loss": 0.5776, "accuracy": 0.796875, "lr": 9.330127018922194e-08, "epoch": 0.7521367521367521, "percentage": 25.29, "elapsed_time": "0:05:30", "remaining_time": "0:16:15"}
45
+ {"current_steps": 45, "total_steps": 174, "loss": 0.5877, "accuracy": 0.75, "lr": 9.278906361507237e-08, "epoch": 0.7692307692307693, "percentage": 25.86, "elapsed_time": "0:05:37", "remaining_time": "0:16:07"}
46
+ {"current_steps": 46, "total_steps": 174, "loss": 0.5786, "accuracy": 0.75, "lr": 9.225950427718974e-08, "epoch": 0.7863247863247863, "percentage": 26.44, "elapsed_time": "0:05:45", "remaining_time": "0:16:00"}
47
+ {"current_steps": 47, "total_steps": 174, "loss": 0.5673, "accuracy": 0.78125, "lr": 9.171280693414307e-08, "epoch": 0.8034188034188035, "percentage": 27.01, "elapsed_time": "0:05:52", "remaining_time": "0:15:52"}
48
+ {"current_steps": 48, "total_steps": 174, "loss": 0.5732, "accuracy": 0.78125, "lr": 9.114919329468282e-08, "epoch": 0.8205128205128205, "percentage": 27.59, "elapsed_time": "0:05:59", "remaining_time": "0:15:44"}
49
+ {"current_steps": 49, "total_steps": 174, "loss": 0.5833, "accuracy": 0.75, "lr": 9.056889192782865e-08, "epoch": 0.8376068376068376, "percentage": 28.16, "elapsed_time": "0:06:07", "remaining_time": "0:15:37"}
50
+ {"current_steps": 50, "total_steps": 174, "loss": 0.5724, "accuracy": 0.734375, "lr": 8.997213817017506e-08, "epoch": 0.8547008547008547, "percentage": 28.74, "elapsed_time": "0:06:15", "remaining_time": "0:15:31"}
51
+ {"current_steps": 51, "total_steps": 174, "loss": 0.4957, "accuracy": 0.828125, "lr": 8.93591740304525e-08, "epoch": 0.8717948717948718, "percentage": 29.31, "elapsed_time": "0:06:22", "remaining_time": "0:15:23"}
52
+ {"current_steps": 52, "total_steps": 174, "loss": 0.531, "accuracy": 0.78125, "lr": 8.873024809138272e-08, "epoch": 0.8888888888888888, "percentage": 29.89, "elapsed_time": "0:06:30", "remaining_time": "0:15:15"}
53
+ {"current_steps": 53, "total_steps": 174, "loss": 0.5262, "accuracy": 0.765625, "lr": 8.808561540886796e-08, "epoch": 0.905982905982906, "percentage": 30.46, "elapsed_time": "0:06:37", "remaining_time": "0:15:07"}
54
+ {"current_steps": 54, "total_steps": 174, "loss": 0.581, "accuracy": 0.75, "lr": 8.742553740855505e-08, "epoch": 0.9230769230769231, "percentage": 31.03, "elapsed_time": "0:06:44", "remaining_time": "0:14:59"}
55
+ {"current_steps": 55, "total_steps": 174, "loss": 0.6129, "accuracy": 0.734375, "lr": 8.675028177981643e-08, "epoch": 0.9401709401709402, "percentage": 31.61, "elapsed_time": "0:06:51", "remaining_time": "0:14:51"}
56
+ {"current_steps": 56, "total_steps": 174, "loss": 0.5129, "accuracy": 0.796875, "lr": 8.606012236719073e-08, "epoch": 0.9572649572649573, "percentage": 32.18, "elapsed_time": "0:06:59", "remaining_time": "0:14:43"}
57
+ {"current_steps": 57, "total_steps": 174, "loss": 0.5967, "accuracy": 0.71875, "lr": 8.535533905932736e-08, "epoch": 0.9743589743589743, "percentage": 32.76, "elapsed_time": "0:07:06", "remaining_time": "0:14:36"}
58
+ {"current_steps": 58, "total_steps": 174, "loss": 0.6743, "accuracy": 0.6875, "lr": 8.463621767547997e-08, "epoch": 0.9914529914529915, "percentage": 33.33, "elapsed_time": "0:07:14", "remaining_time": "0:14:28"}
59
+ {"current_steps": 59, "total_steps": 174, "loss": 0.6652, "accuracy": 0.671875, "lr": 8.390304984959455e-08, "epoch": 1.0085470085470085, "percentage": 33.91, "elapsed_time": "0:08:17", "remaining_time": "0:16:10"}
60
+ {"current_steps": 60, "total_steps": 174, "loss": 0.4542, "accuracy": 0.84375, "lr": 8.315613291203976e-08, "epoch": 1.0256410256410255, "percentage": 34.48, "elapsed_time": "0:08:26", "remaining_time": "0:16:01"}
61
+ {"current_steps": 61, "total_steps": 174, "loss": 0.6183, "accuracy": 0.71875, "lr": 8.239576976902693e-08, "epoch": 1.0427350427350428, "percentage": 35.06, "elapsed_time": "0:08:33", "remaining_time": "0:15:51"}
62
+ {"current_steps": 62, "total_steps": 174, "loss": 0.5383, "accuracy": 0.78125, "lr": 8.162226877976885e-08, "epoch": 1.0598290598290598, "percentage": 35.63, "elapsed_time": "0:08:40", "remaining_time": "0:15:40"}
63
+ {"current_steps": 63, "total_steps": 174, "loss": 0.5109, "accuracy": 0.796875, "lr": 8.083594363142716e-08, "epoch": 1.0769230769230769, "percentage": 36.21, "elapsed_time": "0:08:48", "remaining_time": "0:15:30"}
64
+ {"current_steps": 64, "total_steps": 174, "loss": 0.5058, "accuracy": 0.78125, "lr": 8.003711321189894e-08, "epoch": 1.0940170940170941, "percentage": 36.78, "elapsed_time": "0:08:55", "remaining_time": "0:15:20"}
65
+ {"current_steps": 65, "total_steps": 174, "loss": 0.4523, "accuracy": 0.8125, "lr": 7.922610148049444e-08, "epoch": 1.1111111111111112, "percentage": 37.36, "elapsed_time": "0:09:02", "remaining_time": "0:15:10"}
66
+ {"current_steps": 66, "total_steps": 174, "loss": 0.4636, "accuracy": 0.765625, "lr": 7.840323733655779e-08, "epoch": 1.1282051282051282, "percentage": 37.93, "elapsed_time": "0:09:10", "remaining_time": "0:15:00"}
67
+ {"current_steps": 67, "total_steps": 174, "loss": 0.6983, "accuracy": 0.640625, "lr": 7.756885448608458e-08, "epoch": 1.1452991452991452, "percentage": 38.51, "elapsed_time": "0:09:17", "remaining_time": "0:14:50"}
68
+ {"current_steps": 68, "total_steps": 174, "loss": 0.635, "accuracy": 0.703125, "lr": 7.672329130639004e-08, "epoch": 1.1623931623931625, "percentage": 39.08, "elapsed_time": "0:09:25", "remaining_time": "0:14:41"}
69
+ {"current_steps": 69, "total_steps": 174, "loss": 0.4264, "accuracy": 0.84375, "lr": 7.586689070888284e-08, "epoch": 1.1794871794871795, "percentage": 39.66, "elapsed_time": "0:09:32", "remaining_time": "0:14:31"}
70
+ {"current_steps": 70, "total_steps": 174, "loss": 0.5183, "accuracy": 0.796875, "lr": 7.5e-08, "epoch": 1.1965811965811965, "percentage": 40.23, "elapsed_time": "0:09:40", "remaining_time": "0:14:21"}
71
+ {"current_steps": 71, "total_steps": 174, "loss": 0.5241, "accuracy": 0.78125, "lr": 7.412297074035967e-08, "epoch": 1.2136752136752136, "percentage": 40.8, "elapsed_time": "0:09:47", "remaining_time": "0:14:12"}
72
+ {"current_steps": 72, "total_steps": 174, "loss": 0.4835, "accuracy": 0.8125, "lr": 7.323615860218842e-08, "epoch": 1.2307692307692308, "percentage": 41.38, "elapsed_time": "0:09:55", "remaining_time": "0:14:03"}
73
+ {"current_steps": 73, "total_steps": 174, "loss": 0.4613, "accuracy": 0.78125, "lr": 7.23399232250813e-08, "epoch": 1.2478632478632479, "percentage": 41.95, "elapsed_time": "0:10:02", "remaining_time": "0:13:54"}
74
+ {"current_steps": 74, "total_steps": 174, "loss": 0.4899, "accuracy": 0.828125, "lr": 7.14346280701527e-08, "epoch": 1.264957264957265, "percentage": 42.53, "elapsed_time": "0:10:10", "remaining_time": "0:13:44"}
75
+ {"current_steps": 75, "total_steps": 174, "loss": 0.4669, "accuracy": 0.828125, "lr": 7.052064027263785e-08, "epoch": 1.282051282051282, "percentage": 43.1, "elapsed_time": "0:10:21", "remaining_time": "0:13:40"}
76
+ {"current_steps": 76, "total_steps": 174, "loss": 0.4772, "accuracy": 0.8125, "lr": 6.959833049300375e-08, "epoch": 1.2991452991452992, "percentage": 43.68, "elapsed_time": "0:10:29", "remaining_time": "0:13:31"}
77
+ {"current_steps": 77, "total_steps": 174, "loss": 0.5274, "accuracy": 0.796875, "lr": 6.866807276663104e-08, "epoch": 1.3162393162393162, "percentage": 44.25, "elapsed_time": "0:10:36", "remaining_time": "0:13:21"}
78
+ {"current_steps": 78, "total_steps": 174, "loss": 0.4919, "accuracy": 0.796875, "lr": 6.773024435212677e-08, "epoch": 1.3333333333333333, "percentage": 44.83, "elapsed_time": "0:10:44", "remaining_time": "0:13:12"}
79
+ {"current_steps": 79, "total_steps": 174, "loss": 0.4997, "accuracy": 0.78125, "lr": 6.678522557833024e-08, "epoch": 1.3504273504273505, "percentage": 45.4, "elapsed_time": "0:10:51", "remaining_time": "0:13:03"}
80
+ {"current_steps": 80, "total_steps": 174, "loss": 0.4502, "accuracy": 0.796875, "lr": 6.583339969007364e-08, "epoch": 1.3675213675213675, "percentage": 45.98, "elapsed_time": "0:10:59", "remaining_time": "0:12:55"}
81
+ {"current_steps": 81, "total_steps": 174, "loss": 0.5661, "accuracy": 0.734375, "lr": 6.487515269276015e-08, "epoch": 1.3846153846153846, "percentage": 46.55, "elapsed_time": "0:11:06", "remaining_time": "0:12:45"}
82
+ {"current_steps": 82, "total_steps": 174, "loss": 0.564, "accuracy": 0.734375, "lr": 6.391087319582263e-08, "epoch": 1.4017094017094016, "percentage": 47.13, "elapsed_time": "0:11:14", "remaining_time": "0:12:36"}
83
+ {"current_steps": 83, "total_steps": 174, "loss": 0.4041, "accuracy": 0.84375, "lr": 6.294095225512604e-08, "epoch": 1.4188034188034189, "percentage": 47.7, "elapsed_time": "0:11:21", "remaining_time": "0:12:27"}
84
+ {"current_steps": 84, "total_steps": 174, "loss": 0.5778, "accuracy": 0.703125, "lr": 6.196578321437789e-08, "epoch": 1.435897435897436, "percentage": 48.28, "elapsed_time": "0:11:28", "remaining_time": "0:12:18"}
85
+ {"current_steps": 85, "total_steps": 174, "loss": 0.5416, "accuracy": 0.78125, "lr": 6.098576154561085e-08, "epoch": 1.452991452991453, "percentage": 48.85, "elapsed_time": "0:11:36", "remaining_time": "0:12:08"}
86
+ {"current_steps": 86, "total_steps": 174, "loss": 0.4437, "accuracy": 0.8125, "lr": 6.000128468880222e-08, "epoch": 1.4700854700854702, "percentage": 49.43, "elapsed_time": "0:11:44", "remaining_time": "0:12:01"}
87
+ {"current_steps": 87, "total_steps": 174, "loss": 0.5174, "accuracy": 0.78125, "lr": 5.901275189069529e-08, "epoch": 1.4871794871794872, "percentage": 50.0, "elapsed_time": "0:11:52", "remaining_time": "0:11:52"}
88
+ {"current_steps": 88, "total_steps": 174, "loss": 0.6121, "accuracy": 0.671875, "lr": 5.802056404288801e-08, "epoch": 1.5042735042735043, "percentage": 50.57, "elapsed_time": "0:11:59", "remaining_time": "0:11:43"}
89
+ {"current_steps": 89, "total_steps": 174, "loss": 0.5004, "accuracy": 0.8125, "lr": 5.7025123519254635e-08, "epoch": 1.5213675213675213, "percentage": 51.15, "elapsed_time": "0:12:07", "remaining_time": "0:11:34"}
90
+ {"current_steps": 90, "total_steps": 174, "loss": 0.436, "accuracy": 0.8125, "lr": 5.6026834012766146e-08, "epoch": 1.5384615384615383, "percentage": 51.72, "elapsed_time": "0:12:14", "remaining_time": "0:11:25"}
91
+ {"current_steps": 91, "total_steps": 174, "loss": 0.5704, "accuracy": 0.734375, "lr": 5.5026100371775854e-08, "epoch": 1.5555555555555556, "percentage": 52.3, "elapsed_time": "0:12:22", "remaining_time": "0:11:16"}
92
+ {"current_steps": 92, "total_steps": 174, "loss": 0.477, "accuracy": 0.78125, "lr": 5.40233284358363e-08, "epoch": 1.5726495726495726, "percentage": 52.87, "elapsed_time": "0:12:30", "remaining_time": "0:11:08"}
93
+ {"current_steps": 93, "total_steps": 174, "loss": 0.4359, "accuracy": 0.828125, "lr": 5.30189248711143e-08, "epoch": 1.5897435897435899, "percentage": 53.45, "elapsed_time": "0:12:38", "remaining_time": "0:11:00"}
94
+ {"current_steps": 94, "total_steps": 174, "loss": 0.61, "accuracy": 0.703125, "lr": 5.201329700547076e-08, "epoch": 1.606837606837607, "percentage": 54.02, "elapsed_time": "0:12:45", "remaining_time": "0:10:51"}
95
+ {"current_steps": 95, "total_steps": 174, "loss": 0.6205, "accuracy": 0.71875, "lr": 5.1006852663272015e-08, "epoch": 1.623931623931624, "percentage": 54.6, "elapsed_time": "0:12:52", "remaining_time": "0:10:42"}
96
+ {"current_steps": 96, "total_steps": 174, "loss": 0.5625, "accuracy": 0.75, "lr": 5e-08, "epoch": 1.641025641025641, "percentage": 55.17, "elapsed_time": "0:13:00", "remaining_time": "0:10:34"}
97
+ {"current_steps": 97, "total_steps": 174, "loss": 0.5828, "accuracy": 0.75, "lr": 4.8993147336727993e-08, "epoch": 1.658119658119658, "percentage": 55.75, "elapsed_time": "0:13:07", "remaining_time": "0:10:25"}
98
+ {"current_steps": 98, "total_steps": 174, "loss": 0.5717, "accuracy": 0.75, "lr": 4.798670299452925e-08, "epoch": 1.6752136752136753, "percentage": 56.32, "elapsed_time": "0:13:15", "remaining_time": "0:10:16"}
99
+ {"current_steps": 99, "total_steps": 174, "loss": 0.5265, "accuracy": 0.78125, "lr": 4.698107512888569e-08, "epoch": 1.6923076923076923, "percentage": 56.9, "elapsed_time": "0:13:22", "remaining_time": "0:10:08"}
100
+ {"current_steps": 100, "total_steps": 174, "loss": 0.538, "accuracy": 0.75, "lr": 4.597667156416371e-08, "epoch": 1.7094017094017095, "percentage": 57.47, "elapsed_time": "0:13:29", "remaining_time": "0:09:59"}
101
+ {"current_steps": 101, "total_steps": 174, "loss": 0.5863, "accuracy": 0.703125, "lr": 4.497389962822415e-08, "epoch": 1.7264957264957266, "percentage": 58.05, "elapsed_time": "0:13:37", "remaining_time": "0:09:50"}
102
+ {"current_steps": 102, "total_steps": 174, "loss": 0.6163, "accuracy": 0.75, "lr": 4.397316598723385e-08, "epoch": 1.7435897435897436, "percentage": 58.62, "elapsed_time": "0:13:44", "remaining_time": "0:09:42"}
103
+ {"current_steps": 103, "total_steps": 174, "loss": 0.3891, "accuracy": 0.890625, "lr": 4.2974876480745374e-08, "epoch": 1.7606837606837606, "percentage": 59.2, "elapsed_time": "0:13:51", "remaining_time": "0:09:33"}
104
+ {"current_steps": 104, "total_steps": 174, "loss": 0.5422, "accuracy": 0.734375, "lr": 4.197943595711198e-08, "epoch": 1.7777777777777777, "percentage": 59.77, "elapsed_time": "0:13:59", "remaining_time": "0:09:24"}
105
+ {"current_steps": 105, "total_steps": 174, "loss": 0.5554, "accuracy": 0.71875, "lr": 4.098724810930471e-08, "epoch": 1.7948717948717947, "percentage": 60.34, "elapsed_time": "0:14:06", "remaining_time": "0:09:16"}
106
+ {"current_steps": 106, "total_steps": 174, "loss": 0.4611, "accuracy": 0.78125, "lr": 3.9998715311197785e-08, "epoch": 1.811965811965812, "percentage": 60.92, "elapsed_time": "0:14:13", "remaining_time": "0:09:07"}
107
+ {"current_steps": 107, "total_steps": 174, "loss": 0.6069, "accuracy": 0.734375, "lr": 3.9014238454389155e-08, "epoch": 1.8290598290598292, "percentage": 61.49, "elapsed_time": "0:14:21", "remaining_time": "0:08:59"}
108
+ {"current_steps": 108, "total_steps": 174, "loss": 0.5635, "accuracy": 0.734375, "lr": 3.803421678562212e-08, "epoch": 1.8461538461538463, "percentage": 62.07, "elapsed_time": "0:14:28", "remaining_time": "0:08:51"}
109
+ {"current_steps": 109, "total_steps": 174, "loss": 0.5805, "accuracy": 0.703125, "lr": 3.705904774487396e-08, "epoch": 1.8632478632478633, "percentage": 62.64, "elapsed_time": "0:14:36", "remaining_time": "0:08:42"}
110
+ {"current_steps": 110, "total_steps": 174, "loss": 0.558, "accuracy": 0.734375, "lr": 3.608912680417737e-08, "epoch": 1.8803418803418803, "percentage": 63.22, "elapsed_time": "0:14:44", "remaining_time": "0:08:34"}
111
+ {"current_steps": 111, "total_steps": 174, "loss": 0.4606, "accuracy": 0.796875, "lr": 3.512484730723986e-08, "epoch": 1.8974358974358974, "percentage": 63.79, "elapsed_time": "0:14:52", "remaining_time": "0:08:26"}
112
+ {"current_steps": 112, "total_steps": 174, "loss": 0.5231, "accuracy": 0.78125, "lr": 3.4166600309926387e-08, "epoch": 1.9145299145299144, "percentage": 64.37, "elapsed_time": "0:14:59", "remaining_time": "0:08:18"}
113
+ {"current_steps": 113, "total_steps": 174, "loss": 0.6231, "accuracy": 0.65625, "lr": 3.3214774421669774e-08, "epoch": 1.9316239316239316, "percentage": 64.94, "elapsed_time": "0:15:07", "remaining_time": "0:08:09"}
114
+ {"current_steps": 114, "total_steps": 174, "loss": 0.4405, "accuracy": 0.8125, "lr": 3.2269755647873216e-08, "epoch": 1.9487179487179487, "percentage": 65.52, "elapsed_time": "0:15:14", "remaining_time": "0:08:01"}
115
+ {"current_steps": 115, "total_steps": 174, "loss": 0.4944, "accuracy": 0.78125, "lr": 3.133192723336895e-08, "epoch": 1.965811965811966, "percentage": 66.09, "elapsed_time": "0:15:21", "remaining_time": "0:07:52"}
116
+ {"current_steps": 116, "total_steps": 174, "loss": 0.5974, "accuracy": 0.703125, "lr": 3.040166950699625e-08, "epoch": 1.982905982905983, "percentage": 66.67, "elapsed_time": "0:15:29", "remaining_time": "0:07:44"}
117
+ {"current_steps": 117, "total_steps": 174, "loss": 0.3727, "accuracy": 0.875, "lr": 2.9479359727362168e-08, "epoch": 2.0, "percentage": 67.24, "elapsed_time": "0:15:36", "remaining_time": "0:07:36"}
118
+ {"current_steps": 118, "total_steps": 174, "loss": 0.559, "accuracy": 0.734375, "lr": 2.8565371929847283e-08, "epoch": 2.017094017094017, "percentage": 67.82, "elapsed_time": "0:16:38", "remaining_time": "0:07:54"}
119
+ {"current_steps": 119, "total_steps": 174, "loss": 0.5766, "accuracy": 0.71875, "lr": 2.7660076774918705e-08, "epoch": 2.034188034188034, "percentage": 68.39, "elapsed_time": "0:16:47", "remaining_time": "0:07:45"}
120
+ {"current_steps": 120, "total_steps": 174, "loss": 0.4953, "accuracy": 0.765625, "lr": 2.676384139781157e-08, "epoch": 2.051282051282051, "percentage": 68.97, "elapsed_time": "0:16:54", "remaining_time": "0:07:36"}
121
+ {"current_steps": 121, "total_steps": 174, "loss": 0.583, "accuracy": 0.703125, "lr": 2.5877029259640338e-08, "epoch": 2.0683760683760686, "percentage": 69.54, "elapsed_time": "0:17:02", "remaining_time": "0:07:27"}
122
+ {"current_steps": 122, "total_steps": 174, "loss": 0.549, "accuracy": 0.734375, "lr": 2.500000000000001e-08, "epoch": 2.0854700854700856, "percentage": 70.11, "elapsed_time": "0:17:10", "remaining_time": "0:07:19"}
123
+ {"current_steps": 123, "total_steps": 174, "loss": 0.544, "accuracy": 0.765625, "lr": 2.4133109291117154e-08, "epoch": 2.1025641025641026, "percentage": 70.69, "elapsed_time": "0:17:18", "remaining_time": "0:07:10"}
124
+ {"current_steps": 124, "total_steps": 174, "loss": 0.4755, "accuracy": 0.78125, "lr": 2.3276708693609942e-08, "epoch": 2.1196581196581197, "percentage": 71.26, "elapsed_time": "0:17:25", "remaining_time": "0:07:01"}
125
+ {"current_steps": 125, "total_steps": 174, "loss": 0.4427, "accuracy": 0.84375, "lr": 2.2431145513915417e-08, "epoch": 2.1367521367521367, "percentage": 71.84, "elapsed_time": "0:17:33", "remaining_time": "0:06:52"}
126
+ {"current_steps": 126, "total_steps": 174, "loss": 0.4697, "accuracy": 0.8125, "lr": 2.1596762663442214e-08, "epoch": 2.1538461538461537, "percentage": 72.41, "elapsed_time": "0:17:40", "remaining_time": "0:06:44"}
127
+ {"current_steps": 127, "total_steps": 174, "loss": 0.4773, "accuracy": 0.8125, "lr": 2.0773898519505568e-08, "epoch": 2.1709401709401708, "percentage": 72.99, "elapsed_time": "0:17:47", "remaining_time": "0:06:35"}
128
+ {"current_steps": 128, "total_steps": 174, "loss": 0.4208, "accuracy": 0.859375, "lr": 1.9962886788101045e-08, "epoch": 2.1880341880341883, "percentage": 73.56, "elapsed_time": "0:17:55", "remaining_time": "0:06:26"}
129
+ {"current_steps": 129, "total_steps": 174, "loss": 0.637, "accuracy": 0.6875, "lr": 1.9164056368572844e-08, "epoch": 2.2051282051282053, "percentage": 74.14, "elapsed_time": "0:18:02", "remaining_time": "0:06:17"}
130
+ {"current_steps": 130, "total_steps": 174, "loss": 0.5228, "accuracy": 0.6875, "lr": 1.837773122023114e-08, "epoch": 2.2222222222222223, "percentage": 74.71, "elapsed_time": "0:18:10", "remaining_time": "0:06:08"}
131
+ {"current_steps": 131, "total_steps": 174, "loss": 0.6138, "accuracy": 0.6875, "lr": 1.7604230230973067e-08, "epoch": 2.2393162393162394, "percentage": 75.29, "elapsed_time": "0:18:17", "remaining_time": "0:06:00"}
132
+ {"current_steps": 132, "total_steps": 174, "loss": 0.4958, "accuracy": 0.78125, "lr": 1.684386708796025e-08, "epoch": 2.2564102564102564, "percentage": 75.86, "elapsed_time": "0:18:24", "remaining_time": "0:05:51"}
133
+ {"current_steps": 133, "total_steps": 174, "loss": 0.5091, "accuracy": 0.796875, "lr": 1.6096950150405452e-08, "epoch": 2.2735042735042734, "percentage": 76.44, "elapsed_time": "0:18:32", "remaining_time": "0:05:42"}
134
+ {"current_steps": 134, "total_steps": 174, "loss": 0.572, "accuracy": 0.734375, "lr": 1.5363782324520032e-08, "epoch": 2.2905982905982905, "percentage": 77.01, "elapsed_time": "0:18:39", "remaining_time": "0:05:34"}
135
+ {"current_steps": 135, "total_steps": 174, "loss": 0.6887, "accuracy": 0.625, "lr": 1.4644660940672625e-08, "epoch": 2.3076923076923075, "percentage": 77.59, "elapsed_time": "0:18:46", "remaining_time": "0:05:25"}
136
+ {"current_steps": 136, "total_steps": 174, "loss": 0.5297, "accuracy": 0.796875, "lr": 1.3939877632809277e-08, "epoch": 2.324786324786325, "percentage": 78.16, "elapsed_time": "0:18:54", "remaining_time": "0:05:16"}
137
+ {"current_steps": 137, "total_steps": 174, "loss": 0.4756, "accuracy": 0.8125, "lr": 1.3249718220183582e-08, "epoch": 2.341880341880342, "percentage": 78.74, "elapsed_time": "0:19:01", "remaining_time": "0:05:08"}
138
+ {"current_steps": 138, "total_steps": 174, "loss": 0.6103, "accuracy": 0.71875, "lr": 1.257446259144494e-08, "epoch": 2.358974358974359, "percentage": 79.31, "elapsed_time": "0:19:08", "remaining_time": "0:04:59"}
139
+ {"current_steps": 139, "total_steps": 174, "loss": 0.4931, "accuracy": 0.765625, "lr": 1.1914384591132043e-08, "epoch": 2.376068376068376, "percentage": 79.89, "elapsed_time": "0:19:16", "remaining_time": "0:04:51"}
140
+ {"current_steps": 140, "total_steps": 174, "loss": 0.3967, "accuracy": 0.859375, "lr": 1.1269751908617276e-08, "epoch": 2.393162393162393, "percentage": 80.46, "elapsed_time": "0:19:23", "remaining_time": "0:04:42"}
141
+ {"current_steps": 141, "total_steps": 174, "loss": 0.4894, "accuracy": 0.765625, "lr": 1.0640825969547496e-08, "epoch": 2.41025641025641, "percentage": 81.03, "elapsed_time": "0:19:30", "remaining_time": "0:04:34"}
142
+ {"current_steps": 142, "total_steps": 174, "loss": 0.4604, "accuracy": 0.828125, "lr": 1.0027861829824951e-08, "epoch": 2.427350427350427, "percentage": 81.61, "elapsed_time": "0:19:38", "remaining_time": "0:04:25"}
143
+ {"current_steps": 143, "total_steps": 174, "loss": 0.4628, "accuracy": 0.828125, "lr": 9.431108072171346e-09, "epoch": 2.4444444444444446, "percentage": 82.18, "elapsed_time": "0:19:45", "remaining_time": "0:04:17"}
144
+ {"current_steps": 144, "total_steps": 174, "loss": 0.4426, "accuracy": 0.84375, "lr": 8.850806705317182e-09, "epoch": 2.4615384615384617, "percentage": 82.76, "elapsed_time": "0:19:53", "remaining_time": "0:04:08"}
145
+ {"current_steps": 145, "total_steps": 174, "loss": 0.5474, "accuracy": 0.734375, "lr": 8.287193065856934e-09, "epoch": 2.4786324786324787, "percentage": 83.33, "elapsed_time": "0:20:00", "remaining_time": "0:04:00"}
146
+ {"current_steps": 146, "total_steps": 174, "loss": 0.5553, "accuracy": 0.703125, "lr": 7.740495722810269e-09, "epoch": 2.4957264957264957, "percentage": 83.91, "elapsed_time": "0:20:07", "remaining_time": "0:03:51"}
147
+ {"current_steps": 147, "total_steps": 174, "loss": 0.5605, "accuracy": 0.71875, "lr": 7.21093638492763e-09, "epoch": 2.5128205128205128, "percentage": 84.48, "elapsed_time": "0:20:15", "remaining_time": "0:03:43"}
148
+ {"current_steps": 148, "total_steps": 174, "loss": 0.4722, "accuracy": 0.765625, "lr": 6.698729810778064e-09, "epoch": 2.52991452991453, "percentage": 85.06, "elapsed_time": "0:20:22", "remaining_time": "0:03:34"}
149
+ {"current_steps": 149, "total_steps": 174, "loss": 0.547, "accuracy": 0.75, "lr": 6.2040837216556065e-09, "epoch": 2.547008547008547, "percentage": 85.63, "elapsed_time": "0:20:29", "remaining_time": "0:03:26"}
150
+ {"current_steps": 150, "total_steps": 174, "loss": 0.5032, "accuracy": 0.78125, "lr": 5.72719871733951e-09, "epoch": 2.564102564102564, "percentage": 86.21, "elapsed_time": "0:20:37", "remaining_time": "0:03:17"}
151
+ {"current_steps": 151, "total_steps": 174, "loss": 0.4866, "accuracy": 0.796875, "lr": 5.268268194742637e-09, "epoch": 2.5811965811965814, "percentage": 86.78, "elapsed_time": "0:20:45", "remaining_time": "0:03:09"}
152
+ {"current_steps": 152, "total_steps": 174, "loss": 0.602, "accuracy": 0.6875, "lr": 4.8274782694808944e-09, "epoch": 2.5982905982905984, "percentage": 87.36, "elapsed_time": "0:20:52", "remaining_time": "0:03:01"}
153
+ {"current_steps": 153, "total_steps": 174, "loss": 0.5602, "accuracy": 0.734375, "lr": 4.405007700395497e-09, "epoch": 2.6153846153846154, "percentage": 87.93, "elapsed_time": "0:21:00", "remaining_time": "0:02:52"}
154
+ {"current_steps": 154, "total_steps": 174, "loss": 0.5369, "accuracy": 0.734375, "lr": 4.001027817058789e-09, "epoch": 2.6324786324786325, "percentage": 88.51, "elapsed_time": "0:21:07", "remaining_time": "0:02:44"}
155
+ {"current_steps": 155, "total_steps": 174, "loss": 0.5635, "accuracy": 0.71875, "lr": 3.615702450292857e-09, "epoch": 2.6495726495726495, "percentage": 89.08, "elapsed_time": "0:21:14", "remaining_time": "0:02:36"}
156
+ {"current_steps": 156, "total_steps": 174, "loss": 0.6465, "accuracy": 0.640625, "lr": 3.249187865729264e-09, "epoch": 2.6666666666666665, "percentage": 89.66, "elapsed_time": "0:21:22", "remaining_time": "0:02:27"}
157
+ {"current_steps": 157, "total_steps": 174, "loss": 0.4945, "accuracy": 0.8125, "lr": 2.901632700436757e-09, "epoch": 2.683760683760684, "percentage": 90.23, "elapsed_time": "0:21:29", "remaining_time": "0:02:19"}
158
+ {"current_steps": 158, "total_steps": 174, "loss": 0.5943, "accuracy": 0.734375, "lr": 2.573177902642726e-09, "epoch": 2.700854700854701, "percentage": 90.8, "elapsed_time": "0:21:37", "remaining_time": "0:02:11"}
159
+ {"current_steps": 159, "total_steps": 174, "loss": 0.5558, "accuracy": 0.71875, "lr": 2.26395667457272e-09, "epoch": 2.717948717948718, "percentage": 91.38, "elapsed_time": "0:21:44", "remaining_time": "0:02:03"}
160
+ {"current_steps": 160, "total_steps": 174, "loss": 0.5348, "accuracy": 0.78125, "lr": 1.974094418431388e-09, "epoch": 2.735042735042735, "percentage": 91.95, "elapsed_time": "0:21:52", "remaining_time": "0:01:54"}
161
+ {"current_steps": 161, "total_steps": 174, "loss": 0.5016, "accuracy": 0.765625, "lr": 1.70370868554659e-09, "epoch": 2.752136752136752, "percentage": 92.53, "elapsed_time": "0:21:59", "remaining_time": "0:01:46"}
162
+ {"current_steps": 162, "total_steps": 174, "loss": 0.4562, "accuracy": 0.8125, "lr": 1.4529091286973993e-09, "epoch": 2.769230769230769, "percentage": 93.1, "elapsed_time": "0:22:07", "remaining_time": "0:01:38"}
163
+ {"current_steps": 163, "total_steps": 174, "loss": 0.505, "accuracy": 0.765625, "lr": 1.2217974576453073e-09, "epoch": 2.786324786324786, "percentage": 93.68, "elapsed_time": "0:22:15", "remaining_time": "0:01:30"}
164
+ {"current_steps": 164, "total_steps": 174, "loss": 0.4662, "accuracy": 0.828125, "lr": 1.0104673978866163e-09, "epoch": 2.8034188034188032, "percentage": 94.25, "elapsed_time": "0:22:22", "remaining_time": "0:01:21"}
165
+ {"current_steps": 165, "total_steps": 174, "loss": 0.5988, "accuracy": 0.671875, "lr": 8.190046526428241e-10, "epoch": 2.8205128205128203, "percentage": 94.83, "elapsed_time": "0:22:30", "remaining_time": "0:01:13"}
166
+ {"current_steps": 166, "total_steps": 174, "loss": 0.4907, "accuracy": 0.8125, "lr": 6.474868681043578e-10, "epoch": 2.8376068376068377, "percentage": 95.4, "elapsed_time": "0:22:37", "remaining_time": "0:01:05"}
167
+ {"current_steps": 167, "total_steps": 174, "loss": 0.4925, "accuracy": 0.796875, "lr": 4.959836019417962e-10, "epoch": 2.8547008547008548, "percentage": 95.98, "elapsed_time": "0:22:45", "remaining_time": "0:00:57"}
168
+ {"current_steps": 168, "total_steps": 174, "loss": 0.4599, "accuracy": 0.78125, "lr": 3.6455629509730133e-10, "epoch": 2.871794871794872, "percentage": 96.55, "elapsed_time": "0:22:52", "remaining_time": "0:00:49"}
169
+ {"current_steps": 169, "total_steps": 174, "loss": 0.4399, "accuracy": 0.84375, "lr": 2.5325824686772135e-10, "epoch": 2.888888888888889, "percentage": 97.13, "elapsed_time": "0:23:00", "remaining_time": "0:00:40"}
170
+ {"current_steps": 170, "total_steps": 174, "loss": 0.5311, "accuracy": 0.78125, "lr": 1.6213459328950352e-10, "epoch": 2.905982905982906, "percentage": 97.7, "elapsed_time": "0:23:07", "remaining_time": "0:00:32"}
171
+ {"current_steps": 171, "total_steps": 174, "loss": 0.4288, "accuracy": 0.84375, "lr": 9.122228883412519e-11, "epoch": 2.9230769230769234, "percentage": 98.28, "elapsed_time": "0:23:15", "remaining_time": "0:00:24"}
172
+ {"current_steps": 172, "total_steps": 174, "loss": 0.4494, "accuracy": 0.828125, "lr": 4.055009142152066e-11, "epoch": 2.9401709401709404, "percentage": 98.85, "elapsed_time": "0:23:22", "remaining_time": "0:00:16"}
173
+ {"current_steps": 173, "total_steps": 174, "loss": 0.5679, "accuracy": 0.71875, "lr": 1.0138550757493591e-11, "epoch": 2.9572649572649574, "percentage": 99.43, "elapsed_time": "0:23:30", "remaining_time": "0:00:08"}
174
+ {"current_steps": 174, "total_steps": 174, "loss": 0.5039, "accuracy": 0.78125, "lr": 0.0, "epoch": 2.9743589743589745, "percentage": 100.0, "elapsed_time": "0:23:37", "remaining_time": "0:00:00"}
175
+ {"current_steps": 174, "total_steps": 174, "epoch": 2.9743589743589745, "percentage": 100.0, "elapsed_time": "0:25:32", "remaining_time": "0:00:00"}
trainer_state.json ADDED
@@ -0,0 +1,2652 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": null,
3
+ "best_model_checkpoint": null,
4
+ "epoch": 2.9743589743589745,
5
+ "eval_steps": 500.0,
6
+ "global_step": 174,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.017094017094017096,
13
+ "grad_norm": 32.72266435662914,
14
+ "learning_rate": 5.555555555555555e-09,
15
+ "logits/chosen": -1.271484136581421,
16
+ "logits/rejected": -1.2775769233703613,
17
+ "logps/chosen": -194.09913635253906,
18
+ "logps/rejected": -197.96678161621094,
19
+ "loss": 0.6931,
20
+ "rewards/accuracies": 0.0,
21
+ "rewards/chosen": 0.0,
22
+ "rewards/margins": 0.0,
23
+ "rewards/rejected": 0.0,
24
+ "step": 1
25
+ },
26
+ {
27
+ "epoch": 0.03418803418803419,
28
+ "grad_norm": 42.309256625149,
29
+ "learning_rate": 1.111111111111111e-08,
30
+ "logits/chosen": -1.2563865184783936,
31
+ "logits/rejected": -1.2718961238861084,
32
+ "logps/chosen": -207.83432006835938,
33
+ "logps/rejected": -213.69451904296875,
34
+ "loss": 0.6931,
35
+ "rewards/accuracies": 0.0,
36
+ "rewards/chosen": 0.0,
37
+ "rewards/margins": 0.0,
38
+ "rewards/rejected": 0.0,
39
+ "step": 2
40
+ },
41
+ {
42
+ "epoch": 0.05128205128205128,
43
+ "grad_norm": 39.90048875348032,
44
+ "learning_rate": 1.6666666666666664e-08,
45
+ "logits/chosen": -1.258278489112854,
46
+ "logits/rejected": -1.2770569324493408,
47
+ "logps/chosen": -192.50698852539062,
48
+ "logps/rejected": -197.84161376953125,
49
+ "loss": 0.691,
50
+ "rewards/accuracies": 0.515625,
51
+ "rewards/chosen": -0.005324030760675669,
52
+ "rewards/margins": 0.00852043554186821,
53
+ "rewards/rejected": -0.013844465836882591,
54
+ "step": 3
55
+ },
56
+ {
57
+ "epoch": 0.06837606837606838,
58
+ "grad_norm": 36.67229574146607,
59
+ "learning_rate": 2.222222222222222e-08,
60
+ "logits/chosen": -1.2445483207702637,
61
+ "logits/rejected": -1.2640323638916016,
62
+ "logps/chosen": -200.81478881835938,
63
+ "logps/rejected": -204.47238159179688,
64
+ "loss": 0.692,
65
+ "rewards/accuracies": 0.609375,
66
+ "rewards/chosen": 0.01228327862918377,
67
+ "rewards/margins": 0.008384181186556816,
68
+ "rewards/rejected": 0.003899095579981804,
69
+ "step": 4
70
+ },
71
+ {
72
+ "epoch": 0.08547008547008547,
73
+ "grad_norm": 47.29323636599435,
74
+ "learning_rate": 2.7777777777777777e-08,
75
+ "logits/chosen": -1.2750601768493652,
76
+ "logits/rejected": -1.2918953895568848,
77
+ "logps/chosen": -197.94931030273438,
78
+ "logps/rejected": -203.09048461914062,
79
+ "loss": 0.6824,
80
+ "rewards/accuracies": 0.59375,
81
+ "rewards/chosen": 0.01601552963256836,
82
+ "rewards/margins": 0.02726929262280464,
83
+ "rewards/rejected": -0.011253763921558857,
84
+ "step": 5
85
+ },
86
+ {
87
+ "epoch": 0.10256410256410256,
88
+ "grad_norm": 35.98075151772399,
89
+ "learning_rate": 3.333333333333333e-08,
90
+ "logits/chosen": -1.2638707160949707,
91
+ "logits/rejected": -1.2815051078796387,
92
+ "logps/chosen": -205.60736083984375,
93
+ "logps/rejected": -211.85845947265625,
94
+ "loss": 0.7075,
95
+ "rewards/accuracies": 0.453125,
96
+ "rewards/chosen": -0.004270028322935104,
97
+ "rewards/margins": -0.02442183531820774,
98
+ "rewards/rejected": 0.020151805132627487,
99
+ "step": 6
100
+ },
101
+ {
102
+ "epoch": 0.11965811965811966,
103
+ "grad_norm": 40.92580167903319,
104
+ "learning_rate": 3.888888888888889e-08,
105
+ "logits/chosen": -1.249726414680481,
106
+ "logits/rejected": -1.2673637866973877,
107
+ "logps/chosen": -218.39849853515625,
108
+ "logps/rejected": -224.96292114257812,
109
+ "loss": 0.6936,
110
+ "rewards/accuracies": 0.453125,
111
+ "rewards/chosen": 0.00038888584822416306,
112
+ "rewards/margins": 0.005653404630720615,
113
+ "rewards/rejected": -0.0052645206451416016,
114
+ "step": 7
115
+ },
116
+ {
117
+ "epoch": 0.13675213675213677,
118
+ "grad_norm": 37.9748029413064,
119
+ "learning_rate": 4.444444444444444e-08,
120
+ "logits/chosen": -1.2654469013214111,
121
+ "logits/rejected": -1.2819194793701172,
122
+ "logps/chosen": -220.58584594726562,
123
+ "logps/rejected": -227.43045043945312,
124
+ "loss": 0.7032,
125
+ "rewards/accuracies": 0.46875,
126
+ "rewards/chosen": 0.005627701990306377,
127
+ "rewards/margins": -0.010562442243099213,
128
+ "rewards/rejected": 0.016190147027373314,
129
+ "step": 8
130
+ },
131
+ {
132
+ "epoch": 0.15384615384615385,
133
+ "grad_norm": 41.34663944859154,
134
+ "learning_rate": 5e-08,
135
+ "logits/chosen": -1.250257968902588,
136
+ "logits/rejected": -1.2703938484191895,
137
+ "logps/chosen": -220.8994598388672,
138
+ "logps/rejected": -227.8162078857422,
139
+ "loss": 0.6841,
140
+ "rewards/accuracies": 0.53125,
141
+ "rewards/chosen": 0.015356017276644707,
142
+ "rewards/margins": 0.024300813674926758,
143
+ "rewards/rejected": -0.008944796398282051,
144
+ "step": 9
145
+ },
146
+ {
147
+ "epoch": 0.17094017094017094,
148
+ "grad_norm": 35.69231155214302,
149
+ "learning_rate": 5.5555555555555555e-08,
150
+ "logits/chosen": -1.2636659145355225,
151
+ "logits/rejected": -1.273425579071045,
152
+ "logps/chosen": -227.5428466796875,
153
+ "logps/rejected": -233.6376495361328,
154
+ "loss": 0.6866,
155
+ "rewards/accuracies": 0.5625,
156
+ "rewards/chosen": 0.02854321151971817,
157
+ "rewards/margins": 0.020651960745453835,
158
+ "rewards/rejected": 0.00789125170558691,
159
+ "step": 10
160
+ },
161
+ {
162
+ "epoch": 0.18803418803418803,
163
+ "grad_norm": 38.78239166583489,
164
+ "learning_rate": 6.111111111111111e-08,
165
+ "logits/chosen": -1.254310131072998,
166
+ "logits/rejected": -1.2717337608337402,
167
+ "logps/chosen": -207.8887481689453,
168
+ "logps/rejected": -212.49581909179688,
169
+ "loss": 0.6977,
170
+ "rewards/accuracies": 0.453125,
171
+ "rewards/chosen": -0.0033245082013309,
172
+ "rewards/margins": 0.0004119626246392727,
173
+ "rewards/rejected": -0.00373647129163146,
174
+ "step": 11
175
+ },
176
+ {
177
+ "epoch": 0.20512820512820512,
178
+ "grad_norm": 50.45280761477155,
179
+ "learning_rate": 6.666666666666665e-08,
180
+ "logits/chosen": -1.2598143815994263,
181
+ "logits/rejected": -1.2827789783477783,
182
+ "logps/chosen": -189.29043579101562,
183
+ "logps/rejected": -196.80128479003906,
184
+ "loss": 0.6923,
185
+ "rewards/accuracies": 0.578125,
186
+ "rewards/chosen": 0.02015209197998047,
187
+ "rewards/margins": 0.01102750189602375,
188
+ "rewards/rejected": 0.00912458822131157,
189
+ "step": 12
190
+ },
191
+ {
192
+ "epoch": 0.2222222222222222,
193
+ "grad_norm": 41.75741587665495,
194
+ "learning_rate": 7.222222222222221e-08,
195
+ "logits/chosen": -1.2853286266326904,
196
+ "logits/rejected": -1.3010997772216797,
197
+ "logps/chosen": -198.49937438964844,
198
+ "logps/rejected": -202.17367553710938,
199
+ "loss": 0.6932,
200
+ "rewards/accuracies": 0.640625,
201
+ "rewards/chosen": 0.026771117001771927,
202
+ "rewards/margins": 0.007892560213804245,
203
+ "rewards/rejected": 0.018878554925322533,
204
+ "step": 13
205
+ },
206
+ {
207
+ "epoch": 0.23931623931623933,
208
+ "grad_norm": 39.724733024339834,
209
+ "learning_rate": 7.777777777777778e-08,
210
+ "logits/chosen": -1.2937126159667969,
211
+ "logits/rejected": -1.3142616748809814,
212
+ "logps/chosen": -222.3750762939453,
213
+ "logps/rejected": -229.72769165039062,
214
+ "loss": 0.7059,
215
+ "rewards/accuracies": 0.578125,
216
+ "rewards/chosen": -0.012777568772435188,
217
+ "rewards/margins": -0.01655273512005806,
218
+ "rewards/rejected": 0.0037751691415905952,
219
+ "step": 14
220
+ },
221
+ {
222
+ "epoch": 0.2564102564102564,
223
+ "grad_norm": 29.517227746270596,
224
+ "learning_rate": 8.333333333333334e-08,
225
+ "logits/chosen": -1.264232873916626,
226
+ "logits/rejected": -1.2751024961471558,
227
+ "logps/chosen": -227.28794860839844,
228
+ "logps/rejected": -232.51588439941406,
229
+ "loss": 0.686,
230
+ "rewards/accuracies": 0.5,
231
+ "rewards/chosen": 0.008283494971692562,
232
+ "rewards/margins": 0.02821039780974388,
233
+ "rewards/rejected": -0.01992690935730934,
234
+ "step": 15
235
+ },
236
+ {
237
+ "epoch": 0.27350427350427353,
238
+ "grad_norm": 45.087139669522024,
239
+ "learning_rate": 8.888888888888888e-08,
240
+ "logits/chosen": -1.2679555416107178,
241
+ "logits/rejected": -1.2887213230133057,
242
+ "logps/chosen": -199.248779296875,
243
+ "logps/rejected": -205.2248077392578,
244
+ "loss": 0.6733,
245
+ "rewards/accuracies": 0.625,
246
+ "rewards/chosen": 0.02975328266620636,
247
+ "rewards/margins": 0.0451999194920063,
248
+ "rewards/rejected": -0.015446638688445091,
249
+ "step": 16
250
+ },
251
+ {
252
+ "epoch": 0.2905982905982906,
253
+ "grad_norm": 30.890431631676456,
254
+ "learning_rate": 9.444444444444444e-08,
255
+ "logits/chosen": -1.2544583082199097,
256
+ "logits/rejected": -1.27157461643219,
257
+ "logps/chosen": -196.59767150878906,
258
+ "logps/rejected": -202.0189208984375,
259
+ "loss": 0.7008,
260
+ "rewards/accuracies": 0.453125,
261
+ "rewards/chosen": -0.0064844368025660515,
262
+ "rewards/margins": -0.005097508430480957,
263
+ "rewards/rejected": -0.001386929303407669,
264
+ "step": 17
265
+ },
266
+ {
267
+ "epoch": 0.3076923076923077,
268
+ "grad_norm": 36.969529635446534,
269
+ "learning_rate": 1e-07,
270
+ "logits/chosen": -1.239701271057129,
271
+ "logits/rejected": -1.2593967914581299,
272
+ "logps/chosen": -201.69735717773438,
273
+ "logps/rejected": -207.7852783203125,
274
+ "loss": 0.6918,
275
+ "rewards/accuracies": 0.546875,
276
+ "rewards/chosen": 0.007044908590614796,
277
+ "rewards/margins": 0.010294247418642044,
278
+ "rewards/rejected": -0.0032493355683982372,
279
+ "step": 18
280
+ },
281
+ {
282
+ "epoch": 0.3247863247863248,
283
+ "grad_norm": 35.87746909247798,
284
+ "learning_rate": 9.99898614492425e-08,
285
+ "logits/chosen": -1.2804267406463623,
286
+ "logits/rejected": -1.300959825515747,
287
+ "logps/chosen": -244.39572143554688,
288
+ "logps/rejected": -249.00576782226562,
289
+ "loss": 0.6822,
290
+ "rewards/accuracies": 0.484375,
291
+ "rewards/chosen": 0.027583029121160507,
292
+ "rewards/margins": 0.034470826387405396,
293
+ "rewards/rejected": -0.00688779354095459,
294
+ "step": 19
295
+ },
296
+ {
297
+ "epoch": 0.3418803418803419,
298
+ "grad_norm": 39.80607529411843,
299
+ "learning_rate": 9.995944990857847e-08,
300
+ "logits/chosen": -1.2674369812011719,
301
+ "logits/rejected": -1.2892487049102783,
302
+ "logps/chosen": -195.09527587890625,
303
+ "logps/rejected": -200.03048706054688,
304
+ "loss": 0.6705,
305
+ "rewards/accuracies": 0.640625,
306
+ "rewards/chosen": 0.04508776590228081,
307
+ "rewards/margins": 0.05399542301893234,
308
+ "rewards/rejected": -0.008907651528716087,
309
+ "step": 20
310
+ },
311
+ {
312
+ "epoch": 0.358974358974359,
313
+ "grad_norm": 34.76525289614989,
314
+ "learning_rate": 9.990877771116587e-08,
315
+ "logits/chosen": -1.2724337577819824,
316
+ "logits/rejected": -1.2915544509887695,
317
+ "logps/chosen": -223.3970184326172,
318
+ "logps/rejected": -229.56161499023438,
319
+ "loss": 0.6651,
320
+ "rewards/accuracies": 0.625,
321
+ "rewards/chosen": 0.024257495999336243,
322
+ "rewards/margins": 0.06636013835668564,
323
+ "rewards/rejected": -0.04210264980792999,
324
+ "step": 21
325
+ },
326
+ {
327
+ "epoch": 0.37606837606837606,
328
+ "grad_norm": 36.272414566658256,
329
+ "learning_rate": 9.98378654067105e-08,
330
+ "logits/chosen": -1.0981558561325073,
331
+ "logits/rejected": -1.1171340942382812,
332
+ "logps/chosen": -178.88412475585938,
333
+ "logps/rejected": -183.5172119140625,
334
+ "loss": 0.6631,
335
+ "rewards/accuracies": 0.6875,
336
+ "rewards/chosen": 0.0411938913166523,
337
+ "rewards/margins": 0.07107527554035187,
338
+ "rewards/rejected": -0.02988138049840927,
339
+ "step": 22
340
+ },
341
+ {
342
+ "epoch": 0.39316239316239315,
343
+ "grad_norm": 30.099163509307015,
344
+ "learning_rate": 9.974674175313226e-08,
345
+ "logits/chosen": -1.1262412071228027,
346
+ "logits/rejected": -1.1371285915374756,
347
+ "logps/chosen": -208.44659423828125,
348
+ "logps/rejected": -214.96762084960938,
349
+ "loss": 0.6833,
350
+ "rewards/accuracies": 0.59375,
351
+ "rewards/chosen": -0.01529483962804079,
352
+ "rewards/margins": 0.028606699779629707,
353
+ "rewards/rejected": -0.04390154033899307,
354
+ "step": 23
355
+ },
356
+ {
357
+ "epoch": 0.41025641025641024,
358
+ "grad_norm": 31.33901972271606,
359
+ "learning_rate": 9.963544370490268e-08,
360
+ "logits/chosen": -1.1412584781646729,
361
+ "logits/rejected": -1.1536424160003662,
362
+ "logps/chosen": -202.59756469726562,
363
+ "logps/rejected": -208.01771545410156,
364
+ "loss": 0.6579,
365
+ "rewards/accuracies": 0.640625,
366
+ "rewards/chosen": 0.02415022999048233,
367
+ "rewards/margins": 0.09160473942756653,
368
+ "rewards/rejected": -0.0674545094370842,
369
+ "step": 24
370
+ },
371
+ {
372
+ "epoch": 0.42735042735042733,
373
+ "grad_norm": 36.635398344744516,
374
+ "learning_rate": 9.95040163980582e-08,
375
+ "logits/chosen": -1.1588658094406128,
376
+ "logits/rejected": -1.1526269912719727,
377
+ "logps/chosen": -214.04232788085938,
378
+ "logps/rejected": -220.22341918945312,
379
+ "loss": 0.6913,
380
+ "rewards/accuracies": 0.6875,
381
+ "rewards/chosen": 0.012563370168209076,
382
+ "rewards/margins": 0.02270527370274067,
383
+ "rewards/rejected": -0.010141899809241295,
384
+ "step": 25
385
+ },
386
+ {
387
+ "epoch": 0.4444444444444444,
388
+ "grad_norm": 38.35412916374687,
389
+ "learning_rate": 9.935251313189563e-08,
390
+ "logits/chosen": -1.173980712890625,
391
+ "logits/rejected": -1.1868159770965576,
392
+ "logps/chosen": -219.8594970703125,
393
+ "logps/rejected": -226.081787109375,
394
+ "loss": 0.647,
395
+ "rewards/accuracies": 0.765625,
396
+ "rewards/chosen": 0.03779206424951553,
397
+ "rewards/margins": 0.10382296144962311,
398
+ "rewards/rejected": -0.06603090465068817,
399
+ "step": 26
400
+ },
401
+ {
402
+ "epoch": 0.46153846153846156,
403
+ "grad_norm": 43.88497768831158,
404
+ "learning_rate": 9.918099534735718e-08,
405
+ "logits/chosen": -1.25485098361969,
406
+ "logits/rejected": -1.279860496520996,
407
+ "logps/chosen": -199.5153350830078,
408
+ "logps/rejected": -205.39694213867188,
409
+ "loss": 0.6412,
410
+ "rewards/accuracies": 0.6875,
411
+ "rewards/chosen": 0.04045698791742325,
412
+ "rewards/margins": 0.11912800371646881,
413
+ "rewards/rejected": -0.07867100834846497,
414
+ "step": 27
415
+ },
416
+ {
417
+ "epoch": 0.47863247863247865,
418
+ "grad_norm": 28.54947680302498,
419
+ "learning_rate": 9.898953260211338e-08,
420
+ "logits/chosen": -1.1610426902770996,
421
+ "logits/rejected": -1.1724255084991455,
422
+ "logps/chosen": -234.458740234375,
423
+ "logps/rejected": -242.35955810546875,
424
+ "loss": 0.6588,
425
+ "rewards/accuracies": 0.625,
426
+ "rewards/chosen": 0.046372510492801666,
427
+ "rewards/margins": 0.08581171929836273,
428
+ "rewards/rejected": -0.03943920508027077,
429
+ "step": 28
430
+ },
431
+ {
432
+ "epoch": 0.49572649572649574,
433
+ "grad_norm": 38.575379284361844,
434
+ "learning_rate": 9.87782025423547e-08,
435
+ "logits/chosen": -1.1348447799682617,
436
+ "logits/rejected": -1.1553406715393066,
437
+ "logps/chosen": -227.30609130859375,
438
+ "logps/rejected": -233.3455047607422,
439
+ "loss": 0.6792,
440
+ "rewards/accuracies": 0.65625,
441
+ "rewards/chosen": 0.007504343055188656,
442
+ "rewards/margins": 0.04490330442786217,
443
+ "rewards/rejected": -0.03739895671606064,
444
+ "step": 29
445
+ },
446
+ {
447
+ "epoch": 0.5128205128205128,
448
+ "grad_norm": 28.8649579355048,
449
+ "learning_rate": 9.85470908713026e-08,
450
+ "logits/chosen": -1.2707566022872925,
451
+ "logits/rejected": -1.2946914434432983,
452
+ "logps/chosen": -193.622314453125,
453
+ "logps/rejected": -200.07647705078125,
454
+ "loss": 0.6541,
455
+ "rewards/accuracies": 0.6875,
456
+ "rewards/chosen": 0.00899035856127739,
457
+ "rewards/margins": 0.09786257892847061,
458
+ "rewards/rejected": -0.08887222409248352,
459
+ "step": 30
460
+ },
461
+ {
462
+ "epoch": 0.5299145299145299,
463
+ "grad_norm": 36.766076852410656,
464
+ "learning_rate": 9.82962913144534e-08,
465
+ "logits/chosen": -1.25348699092865,
466
+ "logits/rejected": -1.2663018703460693,
467
+ "logps/chosen": -217.2073211669922,
468
+ "logps/rejected": -225.44215393066406,
469
+ "loss": 0.5934,
470
+ "rewards/accuracies": 0.8125,
471
+ "rewards/chosen": 0.057059720158576965,
472
+ "rewards/margins": 0.23510321974754333,
473
+ "rewards/rejected": -0.17804351449012756,
474
+ "step": 31
475
+ },
476
+ {
477
+ "epoch": 0.5470085470085471,
478
+ "grad_norm": 27.088844747625835,
479
+ "learning_rate": 9.802590558156862e-08,
480
+ "logits/chosen": -1.1737737655639648,
481
+ "logits/rejected": -1.1880066394805908,
482
+ "logps/chosen": -218.86679077148438,
483
+ "logps/rejected": -224.62490844726562,
484
+ "loss": 0.623,
485
+ "rewards/accuracies": 0.703125,
486
+ "rewards/chosen": 0.07086749374866486,
487
+ "rewards/margins": 0.18128487467765808,
488
+ "rewards/rejected": -0.11041736602783203,
489
+ "step": 32
490
+ },
491
+ {
492
+ "epoch": 0.5641025641025641,
493
+ "grad_norm": 22.371870360791593,
494
+ "learning_rate": 9.773604332542727e-08,
495
+ "logits/chosen": -1.131829023361206,
496
+ "logits/rejected": -1.14661705493927,
497
+ "logps/chosen": -207.24508666992188,
498
+ "logps/rejected": -215.26809692382812,
499
+ "loss": 0.6147,
500
+ "rewards/accuracies": 0.75,
501
+ "rewards/chosen": 0.07428524643182755,
502
+ "rewards/margins": 0.21523785591125488,
503
+ "rewards/rejected": -0.14095261693000793,
504
+ "step": 33
505
+ },
506
+ {
507
+ "epoch": 0.5811965811965812,
508
+ "grad_norm": 25.530691097543485,
509
+ "learning_rate": 9.742682209735726e-08,
510
+ "logits/chosen": -1.389977216720581,
511
+ "logits/rejected": -1.4088430404663086,
512
+ "logps/chosen": -218.48521423339844,
513
+ "logps/rejected": -225.37310791015625,
514
+ "loss": 0.6078,
515
+ "rewards/accuracies": 0.765625,
516
+ "rewards/chosen": 0.07247429341077805,
517
+ "rewards/margins": 0.21293310821056366,
518
+ "rewards/rejected": -0.1404588222503662,
519
+ "step": 34
520
+ },
521
+ {
522
+ "epoch": 0.5982905982905983,
523
+ "grad_norm": 29.281349306131553,
524
+ "learning_rate": 9.709836729956324e-08,
525
+ "logits/chosen": -1.235858678817749,
526
+ "logits/rejected": -1.2584373950958252,
527
+ "logps/chosen": -205.7969970703125,
528
+ "logps/rejected": -214.7664794921875,
529
+ "loss": 0.578,
530
+ "rewards/accuracies": 0.796875,
531
+ "rewards/chosen": 0.09870214760303497,
532
+ "rewards/margins": 0.2879001796245575,
533
+ "rewards/rejected": -0.18919800221920013,
534
+ "step": 35
535
+ },
536
+ {
537
+ "epoch": 0.6153846153846154,
538
+ "grad_norm": 24.884404577347613,
539
+ "learning_rate": 9.675081213427075e-08,
540
+ "logits/chosen": -1.1437745094299316,
541
+ "logits/rejected": -1.156705379486084,
542
+ "logps/chosen": -201.69158935546875,
543
+ "logps/rejected": -208.39410400390625,
544
+ "loss": 0.6051,
545
+ "rewards/accuracies": 0.765625,
546
+ "rewards/chosen": 0.08246290683746338,
547
+ "rewards/margins": 0.22834189236164093,
548
+ "rewards/rejected": -0.14587900042533875,
549
+ "step": 36
550
+ },
551
+ {
552
+ "epoch": 0.6324786324786325,
553
+ "grad_norm": 26.023769772211192,
554
+ "learning_rate": 9.638429754970714e-08,
555
+ "logits/chosen": -1.2717422246932983,
556
+ "logits/rejected": -1.2911996841430664,
557
+ "logps/chosen": -220.0479736328125,
558
+ "logps/rejected": -226.65805053710938,
559
+ "loss": 0.6227,
560
+ "rewards/accuracies": 0.671875,
561
+ "rewards/chosen": 0.061918213963508606,
562
+ "rewards/margins": 0.1876792311668396,
563
+ "rewards/rejected": -0.1257610023021698,
564
+ "step": 37
565
+ },
566
+ {
567
+ "epoch": 0.6495726495726496,
568
+ "grad_norm": 21.285930283436088,
569
+ "learning_rate": 9.599897218294121e-08,
570
+ "logits/chosen": -1.149625539779663,
571
+ "logits/rejected": -1.1627771854400635,
572
+ "logps/chosen": -188.13546752929688,
573
+ "logps/rejected": -193.8762664794922,
574
+ "loss": 0.5902,
575
+ "rewards/accuracies": 0.71875,
576
+ "rewards/chosen": 0.06823387742042542,
577
+ "rewards/margins": 0.2635769248008728,
578
+ "rewards/rejected": -0.1953430473804474,
579
+ "step": 38
580
+ },
581
+ {
582
+ "epoch": 0.6666666666666666,
583
+ "grad_norm": 28.594807074763626,
584
+ "learning_rate": 9.55949922996045e-08,
585
+ "logits/chosen": -1.292288899421692,
586
+ "logits/rejected": -1.3035439252853394,
587
+ "logps/chosen": -190.9369354248047,
588
+ "logps/rejected": -199.70602416992188,
589
+ "loss": 0.5737,
590
+ "rewards/accuracies": 0.78125,
591
+ "rewards/chosen": 0.12498907744884491,
592
+ "rewards/margins": 0.3038545250892639,
593
+ "rewards/rejected": -0.1788654327392578,
594
+ "step": 39
595
+ },
596
+ {
597
+ "epoch": 0.6837606837606838,
598
+ "grad_norm": 16.39416824622444,
599
+ "learning_rate": 9.51725217305191e-08,
600
+ "logits/chosen": -1.1363672018051147,
601
+ "logits/rejected": -1.1635665893554688,
602
+ "logps/chosen": -178.391845703125,
603
+ "logps/rejected": -182.48060607910156,
604
+ "loss": 0.6205,
605
+ "rewards/accuracies": 0.703125,
606
+ "rewards/chosen": 0.040899015963077545,
607
+ "rewards/margins": 0.20198173820972443,
608
+ "rewards/rejected": -0.16108272969722748,
609
+ "step": 40
610
+ },
611
+ {
612
+ "epoch": 0.7008547008547008,
613
+ "grad_norm": 20.593478148927982,
614
+ "learning_rate": 9.473173180525737e-08,
615
+ "logits/chosen": -1.4217990636825562,
616
+ "logits/rejected": -1.44111967086792,
617
+ "logps/chosen": -237.90884399414062,
618
+ "logps/rejected": -243.34982299804688,
619
+ "loss": 0.6035,
620
+ "rewards/accuracies": 0.71875,
621
+ "rewards/chosen": 0.06040377914905548,
622
+ "rewards/margins": 0.25076523423194885,
623
+ "rewards/rejected": -0.19036142528057098,
624
+ "step": 41
625
+ },
626
+ {
627
+ "epoch": 0.717948717948718,
628
+ "grad_norm": 12.070721421212927,
629
+ "learning_rate": 9.427280128266049e-08,
630
+ "logits/chosen": -1.3305528163909912,
631
+ "logits/rejected": -1.3600330352783203,
632
+ "logps/chosen": -205.0777130126953,
633
+ "logps/rejected": -208.82928466796875,
634
+ "loss": 0.6593,
635
+ "rewards/accuracies": 0.625,
636
+ "rewards/chosen": 0.013054514303803444,
637
+ "rewards/margins": 0.12817412614822388,
638
+ "rewards/rejected": -0.11511962115764618,
639
+ "step": 42
640
+ },
641
+ {
642
+ "epoch": 0.7350427350427351,
643
+ "grad_norm": 29.86743046569186,
644
+ "learning_rate": 9.379591627834438e-08,
645
+ "logits/chosen": -1.2910648584365845,
646
+ "logits/rejected": -1.307443618774414,
647
+ "logps/chosen": -208.11524963378906,
648
+ "logps/rejected": -217.86795043945312,
649
+ "loss": 0.5557,
650
+ "rewards/accuracies": 0.796875,
651
+ "rewards/chosen": 0.1203712746500969,
652
+ "rewards/margins": 0.34922224283218384,
653
+ "rewards/rejected": -0.22885093092918396,
654
+ "step": 43
655
+ },
656
+ {
657
+ "epoch": 0.7521367521367521,
658
+ "grad_norm": 23.573955160846516,
659
+ "learning_rate": 9.330127018922194e-08,
660
+ "logits/chosen": -1.2389857769012451,
661
+ "logits/rejected": -1.2511794567108154,
662
+ "logps/chosen": -170.03176879882812,
663
+ "logps/rejected": -174.43905639648438,
664
+ "loss": 0.5776,
665
+ "rewards/accuracies": 0.796875,
666
+ "rewards/chosen": 0.0804770439863205,
667
+ "rewards/margins": 0.30069464445114136,
668
+ "rewards/rejected": -0.22021761536598206,
669
+ "step": 44
670
+ },
671
+ {
672
+ "epoch": 0.7692307692307693,
673
+ "grad_norm": 18.335686890799686,
674
+ "learning_rate": 9.278906361507237e-08,
675
+ "logits/chosen": -1.2846009731292725,
676
+ "logits/rejected": -1.2945314645767212,
677
+ "logps/chosen": -188.7731475830078,
678
+ "logps/rejected": -193.93692016601562,
679
+ "loss": 0.5877,
680
+ "rewards/accuracies": 0.75,
681
+ "rewards/chosen": 0.06845403462648392,
682
+ "rewards/margins": 0.29993581771850586,
683
+ "rewards/rejected": -0.23148177564144135,
684
+ "step": 45
685
+ },
686
+ {
687
+ "epoch": 0.7863247863247863,
688
+ "grad_norm": 23.02286550318084,
689
+ "learning_rate": 9.225950427718974e-08,
690
+ "logits/chosen": -1.1295859813690186,
691
+ "logits/rejected": -1.1521016359329224,
692
+ "logps/chosen": -187.48049926757812,
693
+ "logps/rejected": -195.07693481445312,
694
+ "loss": 0.5786,
695
+ "rewards/accuracies": 0.75,
696
+ "rewards/chosen": 0.07457783073186874,
697
+ "rewards/margins": 0.33135661482810974,
698
+ "rewards/rejected": -0.256778746843338,
699
+ "step": 46
700
+ },
701
+ {
702
+ "epoch": 0.8034188034188035,
703
+ "grad_norm": 24.8096833678269,
704
+ "learning_rate": 9.171280693414307e-08,
705
+ "logits/chosen": -1.2724213600158691,
706
+ "logits/rejected": -1.2893978357315063,
707
+ "logps/chosen": -230.028564453125,
708
+ "logps/rejected": -239.03355407714844,
709
+ "loss": 0.5673,
710
+ "rewards/accuracies": 0.78125,
711
+ "rewards/chosen": 0.06915051490068436,
712
+ "rewards/margins": 0.33102768659591675,
713
+ "rewards/rejected": -0.261877179145813,
714
+ "step": 47
715
+ },
716
+ {
717
+ "epoch": 0.8205128205128205,
718
+ "grad_norm": 26.421496284247674,
719
+ "learning_rate": 9.114919329468282e-08,
720
+ "logits/chosen": -1.285154104232788,
721
+ "logits/rejected": -1.2963755130767822,
722
+ "logps/chosen": -206.5599822998047,
723
+ "logps/rejected": -213.7874298095703,
724
+ "loss": 0.5732,
725
+ "rewards/accuracies": 0.78125,
726
+ "rewards/chosen": 0.0874616876244545,
727
+ "rewards/margins": 0.3100225627422333,
728
+ "rewards/rejected": -0.222560852766037,
729
+ "step": 48
730
+ },
731
+ {
732
+ "epoch": 0.8376068376068376,
733
+ "grad_norm": 21.595989096370406,
734
+ "learning_rate": 9.056889192782865e-08,
735
+ "logits/chosen": -1.5055580139160156,
736
+ "logits/rejected": -1.5245859622955322,
737
+ "logps/chosen": -195.19354248046875,
738
+ "logps/rejected": -201.2977752685547,
739
+ "loss": 0.5833,
740
+ "rewards/accuracies": 0.75,
741
+ "rewards/chosen": 0.023485925048589706,
742
+ "rewards/margins": 0.31261563301086426,
743
+ "rewards/rejected": -0.28912970423698425,
744
+ "step": 49
745
+ },
746
+ {
747
+ "epoch": 0.8547008547008547,
748
+ "grad_norm": 11.625163075241566,
749
+ "learning_rate": 8.997213817017506e-08,
750
+ "logits/chosen": -1.2943952083587646,
751
+ "logits/rejected": -1.3081563711166382,
752
+ "logps/chosen": -216.613525390625,
753
+ "logps/rejected": -225.1342010498047,
754
+ "loss": 0.5724,
755
+ "rewards/accuracies": 0.734375,
756
+ "rewards/chosen": 0.07946266978979111,
757
+ "rewards/margins": 0.40542203187942505,
758
+ "rewards/rejected": -0.32595935463905334,
759
+ "step": 50
760
+ },
761
+ {
762
+ "epoch": 0.8717948717948718,
763
+ "grad_norm": 21.248159283967354,
764
+ "learning_rate": 8.93591740304525e-08,
765
+ "logits/chosen": -1.1591204404830933,
766
+ "logits/rejected": -1.1832079887390137,
767
+ "logps/chosen": -228.90333557128906,
768
+ "logps/rejected": -237.9790496826172,
769
+ "loss": 0.4957,
770
+ "rewards/accuracies": 0.828125,
771
+ "rewards/chosen": 0.18997037410736084,
772
+ "rewards/margins": 0.5835675597190857,
773
+ "rewards/rejected": -0.39359715580940247,
774
+ "step": 51
775
+ },
776
+ {
777
+ "epoch": 0.8888888888888888,
778
+ "grad_norm": 14.185290181315091,
779
+ "learning_rate": 8.873024809138272e-08,
780
+ "logits/chosen": -1.2508485317230225,
781
+ "logits/rejected": -1.2704145908355713,
782
+ "logps/chosen": -216.64334106445312,
783
+ "logps/rejected": -227.10382080078125,
784
+ "loss": 0.531,
785
+ "rewards/accuracies": 0.78125,
786
+ "rewards/chosen": 0.17769969999790192,
787
+ "rewards/margins": 0.5860521197319031,
788
+ "rewards/rejected": -0.40835243463516235,
789
+ "step": 52
790
+ },
791
+ {
792
+ "epoch": 0.905982905982906,
793
+ "grad_norm": 11.16410009299076,
794
+ "learning_rate": 8.808561540886796e-08,
795
+ "logits/chosen": -1.4086058139801025,
796
+ "logits/rejected": -1.431929588317871,
797
+ "logps/chosen": -215.01551818847656,
798
+ "logps/rejected": -224.1956024169922,
799
+ "loss": 0.5262,
800
+ "rewards/accuracies": 0.765625,
801
+ "rewards/chosen": 0.13872653245925903,
802
+ "rewards/margins": 0.6294773817062378,
803
+ "rewards/rejected": -0.490750789642334,
804
+ "step": 53
805
+ },
806
+ {
807
+ "epoch": 0.9230769230769231,
808
+ "grad_norm": 11.390059021113096,
809
+ "learning_rate": 8.742553740855505e-08,
810
+ "logits/chosen": -1.3475840091705322,
811
+ "logits/rejected": -1.3789820671081543,
812
+ "logps/chosen": -188.4554443359375,
813
+ "logps/rejected": -193.24188232421875,
814
+ "loss": 0.581,
815
+ "rewards/accuracies": 0.75,
816
+ "rewards/chosen": 0.012795737013220787,
817
+ "rewards/margins": 0.5359785556793213,
818
+ "rewards/rejected": -0.5231828093528748,
819
+ "step": 54
820
+ },
821
+ {
822
+ "epoch": 0.9401709401709402,
823
+ "grad_norm": 16.090910513851295,
824
+ "learning_rate": 8.675028177981643e-08,
825
+ "logits/chosen": -1.204801321029663,
826
+ "logits/rejected": -1.2171646356582642,
827
+ "logps/chosen": -166.46438598632812,
828
+ "logps/rejected": -172.99508666992188,
829
+ "loss": 0.6129,
830
+ "rewards/accuracies": 0.734375,
831
+ "rewards/chosen": 0.05364501476287842,
832
+ "rewards/margins": 0.5924966335296631,
833
+ "rewards/rejected": -0.5388516187667847,
834
+ "step": 55
835
+ },
836
+ {
837
+ "epoch": 0.9572649572649573,
838
+ "grad_norm": 9.083410086611899,
839
+ "learning_rate": 8.606012236719073e-08,
840
+ "logits/chosen": -1.3830593824386597,
841
+ "logits/rejected": -1.4001038074493408,
842
+ "logps/chosen": -241.22731018066406,
843
+ "logps/rejected": -250.010498046875,
844
+ "loss": 0.5129,
845
+ "rewards/accuracies": 0.796875,
846
+ "rewards/chosen": 0.12049320340156555,
847
+ "rewards/margins": 0.7378091812133789,
848
+ "rewards/rejected": -0.6173160076141357,
849
+ "step": 56
850
+ },
851
+ {
852
+ "epoch": 0.9743589743589743,
853
+ "grad_norm": 14.397726561970627,
854
+ "learning_rate": 8.535533905932736e-08,
855
+ "logits/chosen": -1.3072161674499512,
856
+ "logits/rejected": -1.3176829814910889,
857
+ "logps/chosen": -191.91030883789062,
858
+ "logps/rejected": -198.35617065429688,
859
+ "loss": 0.5967,
860
+ "rewards/accuracies": 0.71875,
861
+ "rewards/chosen": -0.009360641241073608,
862
+ "rewards/margins": 0.5768252015113831,
863
+ "rewards/rejected": -0.5861858129501343,
864
+ "step": 57
865
+ },
866
+ {
867
+ "epoch": 0.9914529914529915,
868
+ "grad_norm": 16.669538787390987,
869
+ "learning_rate": 8.463621767547997e-08,
870
+ "logits/chosen": -1.372280240058899,
871
+ "logits/rejected": -1.4476014375686646,
872
+ "logps/chosen": -206.40927124023438,
873
+ "logps/rejected": -211.49679565429688,
874
+ "loss": 0.6743,
875
+ "rewards/accuracies": 0.6875,
876
+ "rewards/chosen": -0.04053037241101265,
877
+ "rewards/margins": 0.4700264632701874,
878
+ "rewards/rejected": -0.5105568170547485,
879
+ "step": 58
880
+ },
881
+ {
882
+ "epoch": 1.0085470085470085,
883
+ "grad_norm": 19.191610379087507,
884
+ "learning_rate": 8.390304984959455e-08,
885
+ "logits/chosen": -1.3764476776123047,
886
+ "logits/rejected": -1.3746802806854248,
887
+ "logps/chosen": -205.39468383789062,
888
+ "logps/rejected": -209.646484375,
889
+ "loss": 0.6652,
890
+ "rewards/accuracies": 0.671875,
891
+ "rewards/chosen": -0.050203800201416016,
892
+ "rewards/margins": 0.49823546409606934,
893
+ "rewards/rejected": -0.5484392046928406,
894
+ "step": 59
895
+ },
896
+ {
897
+ "epoch": 1.0256410256410255,
898
+ "grad_norm": 9.72583349916199,
899
+ "learning_rate": 8.315613291203976e-08,
900
+ "logits/chosen": -1.1869571208953857,
901
+ "logits/rejected": -1.1985766887664795,
902
+ "logps/chosen": -204.23336791992188,
903
+ "logps/rejected": -214.63931274414062,
904
+ "loss": 0.4542,
905
+ "rewards/accuracies": 0.84375,
906
+ "rewards/chosen": 0.1900985687971115,
907
+ "rewards/margins": 0.9572402834892273,
908
+ "rewards/rejected": -0.7671416997909546,
909
+ "step": 60
910
+ },
911
+ {
912
+ "epoch": 1.0427350427350428,
913
+ "grad_norm": 12.790359070150275,
914
+ "learning_rate": 8.239576976902693e-08,
915
+ "logits/chosen": -1.3644700050354004,
916
+ "logits/rejected": -1.3758866786956787,
917
+ "logps/chosen": -224.89085388183594,
918
+ "logps/rejected": -229.89581298828125,
919
+ "loss": 0.6183,
920
+ "rewards/accuracies": 0.71875,
921
+ "rewards/chosen": 0.02255810797214508,
922
+ "rewards/margins": 0.519614577293396,
923
+ "rewards/rejected": -0.4970565140247345,
924
+ "step": 61
925
+ },
926
+ {
927
+ "epoch": 1.0598290598290598,
928
+ "grad_norm": 9.677544959569486,
929
+ "learning_rate": 8.162226877976885e-08,
930
+ "logits/chosen": -1.154378890991211,
931
+ "logits/rejected": -1.1793490648269653,
932
+ "logps/chosen": -201.64071655273438,
933
+ "logps/rejected": -210.43582153320312,
934
+ "loss": 0.5383,
935
+ "rewards/accuracies": 0.78125,
936
+ "rewards/chosen": 0.1784771978855133,
937
+ "rewards/margins": 0.7319588661193848,
938
+ "rewards/rejected": -0.5534816980361938,
939
+ "step": 62
940
+ },
941
+ {
942
+ "epoch": 1.0769230769230769,
943
+ "grad_norm": 10.699966422645526,
944
+ "learning_rate": 8.083594363142716e-08,
945
+ "logits/chosen": -1.1146466732025146,
946
+ "logits/rejected": -1.1278059482574463,
947
+ "logps/chosen": -219.91403198242188,
948
+ "logps/rejected": -229.20675659179688,
949
+ "loss": 0.5109,
950
+ "rewards/accuracies": 0.796875,
951
+ "rewards/chosen": 0.18338268995285034,
952
+ "rewards/margins": 0.8228441476821899,
953
+ "rewards/rejected": -0.6394613981246948,
954
+ "step": 63
955
+ },
956
+ {
957
+ "epoch": 1.0940170940170941,
958
+ "grad_norm": 11.17387642505744,
959
+ "learning_rate": 8.003711321189894e-08,
960
+ "logits/chosen": -1.1515026092529297,
961
+ "logits/rejected": -1.1702303886413574,
962
+ "logps/chosen": -209.63499450683594,
963
+ "logps/rejected": -219.30508422851562,
964
+ "loss": 0.5058,
965
+ "rewards/accuracies": 0.78125,
966
+ "rewards/chosen": 0.11156587302684784,
967
+ "rewards/margins": 0.7776364088058472,
968
+ "rewards/rejected": -0.6660705804824829,
969
+ "step": 64
970
+ },
971
+ {
972
+ "epoch": 1.1111111111111112,
973
+ "grad_norm": 10.610949564485821,
974
+ "learning_rate": 7.922610148049444e-08,
975
+ "logits/chosen": -1.1395275592803955,
976
+ "logits/rejected": -1.1562132835388184,
977
+ "logps/chosen": -176.68936157226562,
978
+ "logps/rejected": -187.7157440185547,
979
+ "loss": 0.4523,
980
+ "rewards/accuracies": 0.8125,
981
+ "rewards/chosen": 0.18582171201705933,
982
+ "rewards/margins": 0.9305019378662109,
983
+ "rewards/rejected": -0.7446802258491516,
984
+ "step": 65
985
+ },
986
+ {
987
+ "epoch": 1.1282051282051282,
988
+ "grad_norm": 11.498019487488653,
989
+ "learning_rate": 7.840323733655779e-08,
990
+ "logits/chosen": -1.171459674835205,
991
+ "logits/rejected": -1.1901518106460571,
992
+ "logps/chosen": -227.089599609375,
993
+ "logps/rejected": -236.95291137695312,
994
+ "loss": 0.4636,
995
+ "rewards/accuracies": 0.765625,
996
+ "rewards/chosen": 0.159165620803833,
997
+ "rewards/margins": 0.858368456363678,
998
+ "rewards/rejected": -0.6992028951644897,
999
+ "step": 66
1000
+ },
1001
+ {
1002
+ "epoch": 1.1452991452991452,
1003
+ "grad_norm": 21.99005103837405,
1004
+ "learning_rate": 7.756885448608458e-08,
1005
+ "logits/chosen": -1.1363887786865234,
1006
+ "logits/rejected": -1.144567847251892,
1007
+ "logps/chosen": -218.0941925048828,
1008
+ "logps/rejected": -223.96218872070312,
1009
+ "loss": 0.6983,
1010
+ "rewards/accuracies": 0.640625,
1011
+ "rewards/chosen": -0.04397851973772049,
1012
+ "rewards/margins": 0.3955537974834442,
1013
+ "rewards/rejected": -0.4395323395729065,
1014
+ "step": 67
1015
+ },
1016
+ {
1017
+ "epoch": 1.1623931623931625,
1018
+ "grad_norm": 18.16674630877845,
1019
+ "learning_rate": 7.672329130639004e-08,
1020
+ "logits/chosen": -1.1201629638671875,
1021
+ "logits/rejected": -1.133668303489685,
1022
+ "logps/chosen": -192.75445556640625,
1023
+ "logps/rejected": -198.15664672851562,
1024
+ "loss": 0.635,
1025
+ "rewards/accuracies": 0.703125,
1026
+ "rewards/chosen": 0.028316885232925415,
1027
+ "rewards/margins": 0.5192416906356812,
1028
+ "rewards/rejected": -0.4909248352050781,
1029
+ "step": 68
1030
+ },
1031
+ {
1032
+ "epoch": 1.1794871794871795,
1033
+ "grad_norm": 11.16521195172972,
1034
+ "learning_rate": 7.586689070888284e-08,
1035
+ "logits/chosen": -1.1243481636047363,
1036
+ "logits/rejected": -1.1298819780349731,
1037
+ "logps/chosen": -213.1587371826172,
1038
+ "logps/rejected": -224.7759246826172,
1039
+ "loss": 0.4264,
1040
+ "rewards/accuracies": 0.84375,
1041
+ "rewards/chosen": 0.24826806783676147,
1042
+ "rewards/margins": 0.9938527345657349,
1043
+ "rewards/rejected": -0.7455847263336182,
1044
+ "step": 69
1045
+ },
1046
+ {
1047
+ "epoch": 1.1965811965811965,
1048
+ "grad_norm": 8.376289448559815,
1049
+ "learning_rate": 7.5e-08,
1050
+ "logits/chosen": -1.1569201946258545,
1051
+ "logits/rejected": -1.1789790391921997,
1052
+ "logps/chosen": -189.38250732421875,
1053
+ "logps/rejected": -197.4920654296875,
1054
+ "loss": 0.5183,
1055
+ "rewards/accuracies": 0.796875,
1056
+ "rewards/chosen": 0.05915120244026184,
1057
+ "rewards/margins": 0.7882977724075317,
1058
+ "rewards/rejected": -0.7291465401649475,
1059
+ "step": 70
1060
+ },
1061
+ {
1062
+ "epoch": 1.2136752136752136,
1063
+ "grad_norm": 8.723024156809132,
1064
+ "learning_rate": 7.412297074035967e-08,
1065
+ "logits/chosen": -1.1690480709075928,
1066
+ "logits/rejected": -1.1838703155517578,
1067
+ "logps/chosen": -203.88046264648438,
1068
+ "logps/rejected": -212.6457061767578,
1069
+ "loss": 0.5241,
1070
+ "rewards/accuracies": 0.78125,
1071
+ "rewards/chosen": 0.11532782018184662,
1072
+ "rewards/margins": 0.7440451383590698,
1073
+ "rewards/rejected": -0.628717303276062,
1074
+ "step": 71
1075
+ },
1076
+ {
1077
+ "epoch": 1.2307692307692308,
1078
+ "grad_norm": 10.30802045111909,
1079
+ "learning_rate": 7.323615860218842e-08,
1080
+ "logits/chosen": -1.3766613006591797,
1081
+ "logits/rejected": -1.4000604152679443,
1082
+ "logps/chosen": -206.73068237304688,
1083
+ "logps/rejected": -216.36465454101562,
1084
+ "loss": 0.4835,
1085
+ "rewards/accuracies": 0.8125,
1086
+ "rewards/chosen": 0.14475136995315552,
1087
+ "rewards/margins": 0.8415932059288025,
1088
+ "rewards/rejected": -0.696841835975647,
1089
+ "step": 72
1090
+ },
1091
+ {
1092
+ "epoch": 1.2478632478632479,
1093
+ "grad_norm": 12.166677399410396,
1094
+ "learning_rate": 7.23399232250813e-08,
1095
+ "logits/chosen": -1.1819312572479248,
1096
+ "logits/rejected": -1.2087277173995972,
1097
+ "logps/chosen": -224.70420837402344,
1098
+ "logps/rejected": -237.1930389404297,
1099
+ "loss": 0.4613,
1100
+ "rewards/accuracies": 0.78125,
1101
+ "rewards/chosen": 0.12526829540729523,
1102
+ "rewards/margins": 0.8854970932006836,
1103
+ "rewards/rejected": -0.7602287530899048,
1104
+ "step": 73
1105
+ },
1106
+ {
1107
+ "epoch": 1.264957264957265,
1108
+ "grad_norm": 11.192808584993841,
1109
+ "learning_rate": 7.14346280701527e-08,
1110
+ "logits/chosen": -1.150439977645874,
1111
+ "logits/rejected": -1.1626567840576172,
1112
+ "logps/chosen": -194.71417236328125,
1113
+ "logps/rejected": -204.508544921875,
1114
+ "loss": 0.4899,
1115
+ "rewards/accuracies": 0.828125,
1116
+ "rewards/chosen": 0.15481960773468018,
1117
+ "rewards/margins": 0.8400849103927612,
1118
+ "rewards/rejected": -0.685265302658081,
1119
+ "step": 74
1120
+ },
1121
+ {
1122
+ "epoch": 1.282051282051282,
1123
+ "grad_norm": 11.37054884000388,
1124
+ "learning_rate": 7.052064027263785e-08,
1125
+ "logits/chosen": -1.3954964876174927,
1126
+ "logits/rejected": -1.4272505044937134,
1127
+ "logps/chosen": -219.84359741210938,
1128
+ "logps/rejected": -228.41390991210938,
1129
+ "loss": 0.4669,
1130
+ "rewards/accuracies": 0.828125,
1131
+ "rewards/chosen": 0.16620084643363953,
1132
+ "rewards/margins": 0.8515415787696838,
1133
+ "rewards/rejected": -0.6853407621383667,
1134
+ "step": 75
1135
+ },
1136
+ {
1137
+ "epoch": 1.2991452991452992,
1138
+ "grad_norm": 10.49689615108526,
1139
+ "learning_rate": 6.959833049300375e-08,
1140
+ "logits/chosen": -1.3774794340133667,
1141
+ "logits/rejected": -1.4036611318588257,
1142
+ "logps/chosen": -183.67486572265625,
1143
+ "logps/rejected": -192.86981201171875,
1144
+ "loss": 0.4772,
1145
+ "rewards/accuracies": 0.8125,
1146
+ "rewards/chosen": 0.09460197389125824,
1147
+ "rewards/margins": 0.8045063018798828,
1148
+ "rewards/rejected": -0.7099043130874634,
1149
+ "step": 76
1150
+ },
1151
+ {
1152
+ "epoch": 1.3162393162393162,
1153
+ "grad_norm": 10.59941724311733,
1154
+ "learning_rate": 6.866807276663104e-08,
1155
+ "logits/chosen": -1.3278074264526367,
1156
+ "logits/rejected": -1.3401622772216797,
1157
+ "logps/chosen": -229.26708984375,
1158
+ "logps/rejected": -238.91275024414062,
1159
+ "loss": 0.5274,
1160
+ "rewards/accuracies": 0.796875,
1161
+ "rewards/chosen": 0.050873637199401855,
1162
+ "rewards/margins": 0.7076472043991089,
1163
+ "rewards/rejected": -0.656773567199707,
1164
+ "step": 77
1165
+ },
1166
+ {
1167
+ "epoch": 1.3333333333333333,
1168
+ "grad_norm": 13.50860542355102,
1169
+ "learning_rate": 6.773024435212677e-08,
1170
+ "logits/chosen": -1.3056037425994873,
1171
+ "logits/rejected": -1.301482915878296,
1172
+ "logps/chosen": -209.69281005859375,
1173
+ "logps/rejected": -221.02227783203125,
1174
+ "loss": 0.4919,
1175
+ "rewards/accuracies": 0.796875,
1176
+ "rewards/chosen": 0.16626644134521484,
1177
+ "rewards/margins": 0.8823855519294739,
1178
+ "rewards/rejected": -0.716119110584259,
1179
+ "step": 78
1180
+ },
1181
+ {
1182
+ "epoch": 1.3504273504273505,
1183
+ "grad_norm": 10.017114133384686,
1184
+ "learning_rate": 6.678522557833024e-08,
1185
+ "logits/chosen": -1.2932631969451904,
1186
+ "logits/rejected": -1.3511815071105957,
1187
+ "logps/chosen": -194.30477905273438,
1188
+ "logps/rejected": -203.97015380859375,
1189
+ "loss": 0.4997,
1190
+ "rewards/accuracies": 0.78125,
1191
+ "rewards/chosen": 0.23168277740478516,
1192
+ "rewards/margins": 0.8288371562957764,
1193
+ "rewards/rejected": -0.5971543788909912,
1194
+ "step": 79
1195
+ },
1196
+ {
1197
+ "epoch": 1.3675213675213675,
1198
+ "grad_norm": 11.94594457038117,
1199
+ "learning_rate": 6.583339969007364e-08,
1200
+ "logits/chosen": -1.3896009922027588,
1201
+ "logits/rejected": -1.4074513912200928,
1202
+ "logps/chosen": -227.5372772216797,
1203
+ "logps/rejected": -239.33355712890625,
1204
+ "loss": 0.4502,
1205
+ "rewards/accuracies": 0.796875,
1206
+ "rewards/chosen": 0.15596362948417664,
1207
+ "rewards/margins": 0.9029906392097473,
1208
+ "rewards/rejected": -0.7470270395278931,
1209
+ "step": 80
1210
+ },
1211
+ {
1212
+ "epoch": 1.3846153846153846,
1213
+ "grad_norm": 9.543605226550325,
1214
+ "learning_rate": 6.487515269276015e-08,
1215
+ "logits/chosen": -1.227487325668335,
1216
+ "logits/rejected": -1.2438147068023682,
1217
+ "logps/chosen": -191.2093505859375,
1218
+ "logps/rejected": -198.86778259277344,
1219
+ "loss": 0.5661,
1220
+ "rewards/accuracies": 0.734375,
1221
+ "rewards/chosen": 0.02518596686422825,
1222
+ "rewards/margins": 0.6359002590179443,
1223
+ "rewards/rejected": -0.6107142567634583,
1224
+ "step": 81
1225
+ },
1226
+ {
1227
+ "epoch": 1.4017094017094016,
1228
+ "grad_norm": 10.832258318403325,
1229
+ "learning_rate": 6.391087319582263e-08,
1230
+ "logits/chosen": -1.1567550897598267,
1231
+ "logits/rejected": -1.1772217750549316,
1232
+ "logps/chosen": -212.802978515625,
1233
+ "logps/rejected": -220.7560272216797,
1234
+ "loss": 0.564,
1235
+ "rewards/accuracies": 0.734375,
1236
+ "rewards/chosen": 0.043723899871110916,
1237
+ "rewards/margins": 0.6755090951919556,
1238
+ "rewards/rejected": -0.6317851543426514,
1239
+ "step": 82
1240
+ },
1241
+ {
1242
+ "epoch": 1.4188034188034189,
1243
+ "grad_norm": 11.95656894237498,
1244
+ "learning_rate": 6.294095225512604e-08,
1245
+ "logits/chosen": -1.161773443222046,
1246
+ "logits/rejected": -1.1838598251342773,
1247
+ "logps/chosen": -193.63568115234375,
1248
+ "logps/rejected": -207.10800170898438,
1249
+ "loss": 0.4041,
1250
+ "rewards/accuracies": 0.84375,
1251
+ "rewards/chosen": 0.2261269986629486,
1252
+ "rewards/margins": 1.0480878353118896,
1253
+ "rewards/rejected": -0.8219609260559082,
1254
+ "step": 83
1255
+ },
1256
+ {
1257
+ "epoch": 1.435897435897436,
1258
+ "grad_norm": 13.008934082615808,
1259
+ "learning_rate": 6.196578321437789e-08,
1260
+ "logits/chosen": -1.2154319286346436,
1261
+ "logits/rejected": -1.2296960353851318,
1262
+ "logps/chosen": -194.1830596923828,
1263
+ "logps/rejected": -202.663818359375,
1264
+ "loss": 0.5778,
1265
+ "rewards/accuracies": 0.703125,
1266
+ "rewards/chosen": -0.010080687701702118,
1267
+ "rewards/margins": 0.645283043384552,
1268
+ "rewards/rejected": -0.6553637981414795,
1269
+ "step": 84
1270
+ },
1271
+ {
1272
+ "epoch": 1.452991452991453,
1273
+ "grad_norm": 10.057593191806976,
1274
+ "learning_rate": 6.098576154561085e-08,
1275
+ "logits/chosen": -1.2296245098114014,
1276
+ "logits/rejected": -1.2029201984405518,
1277
+ "logps/chosen": -224.36428833007812,
1278
+ "logps/rejected": -232.56393432617188,
1279
+ "loss": 0.5416,
1280
+ "rewards/accuracies": 0.78125,
1281
+ "rewards/chosen": 0.09980681538581848,
1282
+ "rewards/margins": 0.7062771320343018,
1283
+ "rewards/rejected": -0.6064703464508057,
1284
+ "step": 85
1285
+ },
1286
+ {
1287
+ "epoch": 1.4700854700854702,
1288
+ "grad_norm": 9.741398540975316,
1289
+ "learning_rate": 6.000128468880222e-08,
1290
+ "logits/chosen": -1.2417197227478027,
1291
+ "logits/rejected": -1.2633764743804932,
1292
+ "logps/chosen": -191.479248046875,
1293
+ "logps/rejected": -201.85977172851562,
1294
+ "loss": 0.4437,
1295
+ "rewards/accuracies": 0.8125,
1296
+ "rewards/chosen": 0.12965287268161774,
1297
+ "rewards/margins": 0.9167401194572449,
1298
+ "rewards/rejected": -0.7870873212814331,
1299
+ "step": 86
1300
+ },
1301
+ {
1302
+ "epoch": 1.4871794871794872,
1303
+ "grad_norm": 9.028275549835927,
1304
+ "learning_rate": 5.901275189069529e-08,
1305
+ "logits/chosen": -1.2375539541244507,
1306
+ "logits/rejected": -1.259860634803772,
1307
+ "logps/chosen": -203.27615356445312,
1308
+ "logps/rejected": -210.93551635742188,
1309
+ "loss": 0.5174,
1310
+ "rewards/accuracies": 0.78125,
1311
+ "rewards/chosen": 0.04642338678240776,
1312
+ "rewards/margins": 0.7537603378295898,
1313
+ "rewards/rejected": -0.707336962223053,
1314
+ "step": 87
1315
+ },
1316
+ {
1317
+ "epoch": 1.5042735042735043,
1318
+ "grad_norm": 20.79725118421527,
1319
+ "learning_rate": 5.802056404288801e-08,
1320
+ "logits/chosen": -1.2705310583114624,
1321
+ "logits/rejected": -1.285170078277588,
1322
+ "logps/chosen": -195.17697143554688,
1323
+ "logps/rejected": -203.60047912597656,
1324
+ "loss": 0.6121,
1325
+ "rewards/accuracies": 0.671875,
1326
+ "rewards/chosen": -0.031761229038238525,
1327
+ "rewards/margins": 0.5703467130661011,
1328
+ "rewards/rejected": -0.6021079421043396,
1329
+ "step": 88
1330
+ },
1331
+ {
1332
+ "epoch": 1.5213675213675213,
1333
+ "grad_norm": 12.880019514975364,
1334
+ "learning_rate": 5.7025123519254635e-08,
1335
+ "logits/chosen": -1.2466907501220703,
1336
+ "logits/rejected": -1.2613425254821777,
1337
+ "logps/chosen": -235.56301879882812,
1338
+ "logps/rejected": -245.73464965820312,
1339
+ "loss": 0.5004,
1340
+ "rewards/accuracies": 0.8125,
1341
+ "rewards/chosen": 0.1362065076828003,
1342
+ "rewards/margins": 0.7939851880073547,
1343
+ "rewards/rejected": -0.6577786207199097,
1344
+ "step": 89
1345
+ },
1346
+ {
1347
+ "epoch": 1.5384615384615383,
1348
+ "grad_norm": 10.876242860868558,
1349
+ "learning_rate": 5.6026834012766146e-08,
1350
+ "logits/chosen": -1.1789934635162354,
1351
+ "logits/rejected": -1.1866260766983032,
1352
+ "logps/chosen": -202.47201538085938,
1353
+ "logps/rejected": -214.0494842529297,
1354
+ "loss": 0.436,
1355
+ "rewards/accuracies": 0.8125,
1356
+ "rewards/chosen": 0.22105956077575684,
1357
+ "rewards/margins": 0.8981007933616638,
1358
+ "rewards/rejected": -0.6770412921905518,
1359
+ "step": 90
1360
+ },
1361
+ {
1362
+ "epoch": 1.5555555555555556,
1363
+ "grad_norm": 12.053992291241759,
1364
+ "learning_rate": 5.5026100371775854e-08,
1365
+ "logits/chosen": -1.1448007822036743,
1366
+ "logits/rejected": -1.1542439460754395,
1367
+ "logps/chosen": -215.9123077392578,
1368
+ "logps/rejected": -225.4734344482422,
1369
+ "loss": 0.5704,
1370
+ "rewards/accuracies": 0.734375,
1371
+ "rewards/chosen": 0.022347934544086456,
1372
+ "rewards/margins": 0.7042903900146484,
1373
+ "rewards/rejected": -0.6819424629211426,
1374
+ "step": 91
1375
+ },
1376
+ {
1377
+ "epoch": 1.5726495726495726,
1378
+ "grad_norm": 9.880429971310734,
1379
+ "learning_rate": 5.40233284358363e-08,
1380
+ "logits/chosen": -1.1525931358337402,
1381
+ "logits/rejected": -1.1745331287384033,
1382
+ "logps/chosen": -227.42431640625,
1383
+ "logps/rejected": -238.0443115234375,
1384
+ "loss": 0.477,
1385
+ "rewards/accuracies": 0.78125,
1386
+ "rewards/chosen": 0.14314499497413635,
1387
+ "rewards/margins": 0.8894479870796204,
1388
+ "rewards/rejected": -0.7463030219078064,
1389
+ "step": 92
1390
+ },
1391
+ {
1392
+ "epoch": 1.5897435897435899,
1393
+ "grad_norm": 12.896922327508921,
1394
+ "learning_rate": 5.30189248711143e-08,
1395
+ "logits/chosen": -1.2294321060180664,
1396
+ "logits/rejected": -1.2549705505371094,
1397
+ "logps/chosen": -194.19139099121094,
1398
+ "logps/rejected": -204.89419555664062,
1399
+ "loss": 0.4359,
1400
+ "rewards/accuracies": 0.828125,
1401
+ "rewards/chosen": 0.16293135285377502,
1402
+ "rewards/margins": 0.9165316820144653,
1403
+ "rewards/rejected": -0.7536002993583679,
1404
+ "step": 93
1405
+ },
1406
+ {
1407
+ "epoch": 1.606837606837607,
1408
+ "grad_norm": 12.301250167175493,
1409
+ "learning_rate": 5.201329700547076e-08,
1410
+ "logits/chosen": -1.139244794845581,
1411
+ "logits/rejected": -1.1551015377044678,
1412
+ "logps/chosen": -239.79331970214844,
1413
+ "logps/rejected": -245.39788818359375,
1414
+ "loss": 0.61,
1415
+ "rewards/accuracies": 0.703125,
1416
+ "rewards/chosen": -0.05777675658464432,
1417
+ "rewards/margins": 0.4941122233867645,
1418
+ "rewards/rejected": -0.5518889427185059,
1419
+ "step": 94
1420
+ },
1421
+ {
1422
+ "epoch": 1.623931623931624,
1423
+ "grad_norm": 13.892468492913862,
1424
+ "learning_rate": 5.1006852663272015e-08,
1425
+ "logits/chosen": -1.159139633178711,
1426
+ "logits/rejected": -1.1759366989135742,
1427
+ "logps/chosen": -225.52621459960938,
1428
+ "logps/rejected": -232.21029663085938,
1429
+ "loss": 0.6205,
1430
+ "rewards/accuracies": 0.71875,
1431
+ "rewards/chosen": 0.02948746271431446,
1432
+ "rewards/margins": 0.5931065082550049,
1433
+ "rewards/rejected": -0.5636190176010132,
1434
+ "step": 95
1435
+ },
1436
+ {
1437
+ "epoch": 1.641025641025641,
1438
+ "grad_norm": 9.808441210297074,
1439
+ "learning_rate": 5e-08,
1440
+ "logits/chosen": -1.1536024808883667,
1441
+ "logits/rejected": -1.1857885122299194,
1442
+ "logps/chosen": -196.0366973876953,
1443
+ "logps/rejected": -203.52236938476562,
1444
+ "loss": 0.5625,
1445
+ "rewards/accuracies": 0.75,
1446
+ "rewards/chosen": 0.048735711723566055,
1447
+ "rewards/margins": 0.682651162147522,
1448
+ "rewards/rejected": -0.6339154243469238,
1449
+ "step": 96
1450
+ },
1451
+ {
1452
+ "epoch": 1.658119658119658,
1453
+ "grad_norm": 18.56220949873644,
1454
+ "learning_rate": 4.8993147336727993e-08,
1455
+ "logits/chosen": -1.100988507270813,
1456
+ "logits/rejected": -1.115971565246582,
1457
+ "logps/chosen": -195.26605224609375,
1458
+ "logps/rejected": -203.88706970214844,
1459
+ "loss": 0.5828,
1460
+ "rewards/accuracies": 0.75,
1461
+ "rewards/chosen": 0.0577177070081234,
1462
+ "rewards/margins": 0.6403500437736511,
1463
+ "rewards/rejected": -0.582632303237915,
1464
+ "step": 97
1465
+ },
1466
+ {
1467
+ "epoch": 1.6752136752136753,
1468
+ "grad_norm": 11.022655388685179,
1469
+ "learning_rate": 4.798670299452925e-08,
1470
+ "logits/chosen": -1.1421875953674316,
1471
+ "logits/rejected": -1.1606316566467285,
1472
+ "logps/chosen": -196.30630493164062,
1473
+ "logps/rejected": -202.04226684570312,
1474
+ "loss": 0.5717,
1475
+ "rewards/accuracies": 0.75,
1476
+ "rewards/chosen": 0.016672886908054352,
1477
+ "rewards/margins": 0.6236412525177002,
1478
+ "rewards/rejected": -0.6069684028625488,
1479
+ "step": 98
1480
+ },
1481
+ {
1482
+ "epoch": 1.6923076923076923,
1483
+ "grad_norm": 8.871763691618773,
1484
+ "learning_rate": 4.698107512888569e-08,
1485
+ "logits/chosen": -1.2337532043457031,
1486
+ "logits/rejected": -1.240652084350586,
1487
+ "logps/chosen": -218.1448974609375,
1488
+ "logps/rejected": -227.2547607421875,
1489
+ "loss": 0.5265,
1490
+ "rewards/accuracies": 0.78125,
1491
+ "rewards/chosen": 0.11973094940185547,
1492
+ "rewards/margins": 0.7548149824142456,
1493
+ "rewards/rejected": -0.6350841522216797,
1494
+ "step": 99
1495
+ },
1496
+ {
1497
+ "epoch": 1.7094017094017095,
1498
+ "grad_norm": 12.85415721892448,
1499
+ "learning_rate": 4.597667156416371e-08,
1500
+ "logits/chosen": -1.213283896446228,
1501
+ "logits/rejected": -1.22767972946167,
1502
+ "logps/chosen": -181.11399841308594,
1503
+ "logps/rejected": -188.54241943359375,
1504
+ "loss": 0.538,
1505
+ "rewards/accuracies": 0.75,
1506
+ "rewards/chosen": 0.05350890010595322,
1507
+ "rewards/margins": 0.6742588877677917,
1508
+ "rewards/rejected": -0.6207499504089355,
1509
+ "step": 100
1510
+ },
1511
+ {
1512
+ "epoch": 1.7264957264957266,
1513
+ "grad_norm": 13.021440721904707,
1514
+ "learning_rate": 4.497389962822415e-08,
1515
+ "logits/chosen": -1.2420412302017212,
1516
+ "logits/rejected": -1.2504451274871826,
1517
+ "logps/chosen": -203.78953552246094,
1518
+ "logps/rejected": -212.01084899902344,
1519
+ "loss": 0.5863,
1520
+ "rewards/accuracies": 0.703125,
1521
+ "rewards/chosen": -0.038240812718868256,
1522
+ "rewards/margins": 0.5614969730377197,
1523
+ "rewards/rejected": -0.599737823009491,
1524
+ "step": 101
1525
+ },
1526
+ {
1527
+ "epoch": 1.7435897435897436,
1528
+ "grad_norm": 12.04774687416125,
1529
+ "learning_rate": 4.397316598723385e-08,
1530
+ "logits/chosen": -1.1910021305084229,
1531
+ "logits/rejected": -1.2164733409881592,
1532
+ "logps/chosen": -215.11517333984375,
1533
+ "logps/rejected": -220.34439086914062,
1534
+ "loss": 0.6163,
1535
+ "rewards/accuracies": 0.75,
1536
+ "rewards/chosen": -0.03245179355144501,
1537
+ "rewards/margins": 0.50189608335495,
1538
+ "rewards/rejected": -0.5343478918075562,
1539
+ "step": 102
1540
+ },
1541
+ {
1542
+ "epoch": 1.7606837606837606,
1543
+ "grad_norm": 15.288901319906586,
1544
+ "learning_rate": 4.2974876480745374e-08,
1545
+ "logits/chosen": -1.1831953525543213,
1546
+ "logits/rejected": -1.2074761390686035,
1547
+ "logps/chosen": -199.57235717773438,
1548
+ "logps/rejected": -212.2587890625,
1549
+ "loss": 0.3891,
1550
+ "rewards/accuracies": 0.890625,
1551
+ "rewards/chosen": 0.2656897306442261,
1552
+ "rewards/margins": 1.0498855113983154,
1553
+ "rewards/rejected": -0.7841956615447998,
1554
+ "step": 103
1555
+ },
1556
+ {
1557
+ "epoch": 1.7777777777777777,
1558
+ "grad_norm": 9.830007228826831,
1559
+ "learning_rate": 4.197943595711198e-08,
1560
+ "logits/chosen": -1.2034883499145508,
1561
+ "logits/rejected": -1.2180663347244263,
1562
+ "logps/chosen": -203.7565155029297,
1563
+ "logps/rejected": -213.16781616210938,
1564
+ "loss": 0.5422,
1565
+ "rewards/accuracies": 0.734375,
1566
+ "rewards/chosen": 0.02019469439983368,
1567
+ "rewards/margins": 0.6917099952697754,
1568
+ "rewards/rejected": -0.6715153455734253,
1569
+ "step": 104
1570
+ },
1571
+ {
1572
+ "epoch": 1.7948717948717947,
1573
+ "grad_norm": 12.127748094386865,
1574
+ "learning_rate": 4.098724810930471e-08,
1575
+ "logits/chosen": -1.240790843963623,
1576
+ "logits/rejected": -1.255462884902954,
1577
+ "logps/chosen": -234.8768768310547,
1578
+ "logps/rejected": -245.94227600097656,
1579
+ "loss": 0.5554,
1580
+ "rewards/accuracies": 0.71875,
1581
+ "rewards/chosen": 0.12386530637741089,
1582
+ "rewards/margins": 0.7422997951507568,
1583
+ "rewards/rejected": -0.618434488773346,
1584
+ "step": 105
1585
+ },
1586
+ {
1587
+ "epoch": 1.811965811965812,
1588
+ "grad_norm": 8.84300119284711,
1589
+ "learning_rate": 3.9998715311197785e-08,
1590
+ "logits/chosen": -1.20076584815979,
1591
+ "logits/rejected": -1.2230300903320312,
1592
+ "logps/chosen": -188.9539794921875,
1593
+ "logps/rejected": -199.81253051757812,
1594
+ "loss": 0.4611,
1595
+ "rewards/accuracies": 0.78125,
1596
+ "rewards/chosen": 0.17494577169418335,
1597
+ "rewards/margins": 0.8782938718795776,
1598
+ "rewards/rejected": -0.7033481597900391,
1599
+ "step": 106
1600
+ },
1601
+ {
1602
+ "epoch": 1.8290598290598292,
1603
+ "grad_norm": 12.143953391517758,
1604
+ "learning_rate": 3.9014238454389155e-08,
1605
+ "logits/chosen": -1.1750924587249756,
1606
+ "logits/rejected": -1.1927435398101807,
1607
+ "logps/chosen": -220.61715698242188,
1608
+ "logps/rejected": -227.49227905273438,
1609
+ "loss": 0.6069,
1610
+ "rewards/accuracies": 0.734375,
1611
+ "rewards/chosen": 0.008099107071757317,
1612
+ "rewards/margins": 0.5756269693374634,
1613
+ "rewards/rejected": -0.5675278306007385,
1614
+ "step": 107
1615
+ },
1616
+ {
1617
+ "epoch": 1.8461538461538463,
1618
+ "grad_norm": 10.052329427872419,
1619
+ "learning_rate": 3.803421678562212e-08,
1620
+ "logits/chosen": -1.1661193370819092,
1621
+ "logits/rejected": -1.1825528144836426,
1622
+ "logps/chosen": -217.5789337158203,
1623
+ "logps/rejected": -225.34059143066406,
1624
+ "loss": 0.5635,
1625
+ "rewards/accuracies": 0.734375,
1626
+ "rewards/chosen": 0.009209178388118744,
1627
+ "rewards/margins": 0.625337541103363,
1628
+ "rewards/rejected": -0.6161283254623413,
1629
+ "step": 108
1630
+ },
1631
+ {
1632
+ "epoch": 1.8632478632478633,
1633
+ "grad_norm": 8.53812544633681,
1634
+ "learning_rate": 3.705904774487396e-08,
1635
+ "logits/chosen": -1.2159624099731445,
1636
+ "logits/rejected": -1.2333189249038696,
1637
+ "logps/chosen": -162.47088623046875,
1638
+ "logps/rejected": -167.80093383789062,
1639
+ "loss": 0.5805,
1640
+ "rewards/accuracies": 0.703125,
1641
+ "rewards/chosen": -0.03216569870710373,
1642
+ "rewards/margins": 0.5504827499389648,
1643
+ "rewards/rejected": -0.5826483964920044,
1644
+ "step": 109
1645
+ },
1646
+ {
1647
+ "epoch": 1.8803418803418803,
1648
+ "grad_norm": 13.581776681027804,
1649
+ "learning_rate": 3.608912680417737e-08,
1650
+ "logits/chosen": -1.1102283000946045,
1651
+ "logits/rejected": -1.119093418121338,
1652
+ "logps/chosen": -184.8140869140625,
1653
+ "logps/rejected": -191.4400634765625,
1654
+ "loss": 0.558,
1655
+ "rewards/accuracies": 0.734375,
1656
+ "rewards/chosen": 0.024945974349975586,
1657
+ "rewards/margins": 0.5978469848632812,
1658
+ "rewards/rejected": -0.5729010105133057,
1659
+ "step": 110
1660
+ },
1661
+ {
1662
+ "epoch": 1.8974358974358974,
1663
+ "grad_norm": 12.936648401852018,
1664
+ "learning_rate": 3.512484730723986e-08,
1665
+ "logits/chosen": -1.1190906763076782,
1666
+ "logits/rejected": -1.128208875656128,
1667
+ "logps/chosen": -197.11883544921875,
1668
+ "logps/rejected": -209.66224670410156,
1669
+ "loss": 0.4606,
1670
+ "rewards/accuracies": 0.796875,
1671
+ "rewards/chosen": 0.09520569443702698,
1672
+ "rewards/margins": 0.8170603513717651,
1673
+ "rewards/rejected": -0.7218546867370605,
1674
+ "step": 111
1675
+ },
1676
+ {
1677
+ "epoch": 1.9145299145299144,
1678
+ "grad_norm": 9.169654650547267,
1679
+ "learning_rate": 3.4166600309926387e-08,
1680
+ "logits/chosen": -1.1504645347595215,
1681
+ "logits/rejected": -1.1653828620910645,
1682
+ "logps/chosen": -198.95162963867188,
1683
+ "logps/rejected": -207.6500244140625,
1684
+ "loss": 0.5231,
1685
+ "rewards/accuracies": 0.78125,
1686
+ "rewards/chosen": 0.09164178371429443,
1687
+ "rewards/margins": 0.7027959227561951,
1688
+ "rewards/rejected": -0.6111540794372559,
1689
+ "step": 112
1690
+ },
1691
+ {
1692
+ "epoch": 1.9316239316239316,
1693
+ "grad_norm": 17.398775144537346,
1694
+ "learning_rate": 3.3214774421669774e-08,
1695
+ "logits/chosen": -1.1868689060211182,
1696
+ "logits/rejected": -1.1946336030960083,
1697
+ "logps/chosen": -221.0373992919922,
1698
+ "logps/rejected": -229.6405792236328,
1699
+ "loss": 0.6231,
1700
+ "rewards/accuracies": 0.65625,
1701
+ "rewards/chosen": -0.047824956476688385,
1702
+ "rewards/margins": 0.4882330000400543,
1703
+ "rewards/rejected": -0.5360579490661621,
1704
+ "step": 113
1705
+ },
1706
+ {
1707
+ "epoch": 1.9487179487179487,
1708
+ "grad_norm": 12.943629019538873,
1709
+ "learning_rate": 3.2269755647873216e-08,
1710
+ "logits/chosen": -1.1211748123168945,
1711
+ "logits/rejected": -1.1268960237503052,
1712
+ "logps/chosen": -197.11395263671875,
1713
+ "logps/rejected": -209.36065673828125,
1714
+ "loss": 0.4405,
1715
+ "rewards/accuracies": 0.8125,
1716
+ "rewards/chosen": 0.08558256924152374,
1717
+ "rewards/margins": 0.8636702299118042,
1718
+ "rewards/rejected": -0.7780876159667969,
1719
+ "step": 114
1720
+ },
1721
+ {
1722
+ "epoch": 1.965811965811966,
1723
+ "grad_norm": 11.837235638275795,
1724
+ "learning_rate": 3.133192723336895e-08,
1725
+ "logits/chosen": -1.1296658515930176,
1726
+ "logits/rejected": -1.149501085281372,
1727
+ "logps/chosen": -208.91246032714844,
1728
+ "logps/rejected": -219.44065856933594,
1729
+ "loss": 0.4944,
1730
+ "rewards/accuracies": 0.78125,
1731
+ "rewards/chosen": 0.10977594554424286,
1732
+ "rewards/margins": 0.7227219343185425,
1733
+ "rewards/rejected": -0.6129459142684937,
1734
+ "step": 115
1735
+ },
1736
+ {
1737
+ "epoch": 1.982905982905983,
1738
+ "grad_norm": 18.289512057606725,
1739
+ "learning_rate": 3.040166950699625e-08,
1740
+ "logits/chosen": -1.1587321758270264,
1741
+ "logits/rejected": -1.174118161201477,
1742
+ "logps/chosen": -215.89666748046875,
1743
+ "logps/rejected": -225.2597198486328,
1744
+ "loss": 0.5974,
1745
+ "rewards/accuracies": 0.703125,
1746
+ "rewards/chosen": 0.048938799649477005,
1747
+ "rewards/margins": 0.5612896680831909,
1748
+ "rewards/rejected": -0.5123509168624878,
1749
+ "step": 116
1750
+ },
1751
+ {
1752
+ "epoch": 2.0,
1753
+ "grad_norm": 17.673644748781474,
1754
+ "learning_rate": 2.9479359727362168e-08,
1755
+ "logits/chosen": -1.1334757804870605,
1756
+ "logits/rejected": -1.154831886291504,
1757
+ "logps/chosen": -216.36561584472656,
1758
+ "logps/rejected": -230.03196716308594,
1759
+ "loss": 0.3727,
1760
+ "rewards/accuracies": 0.875,
1761
+ "rewards/chosen": 0.25375238060951233,
1762
+ "rewards/margins": 1.027942419052124,
1763
+ "rewards/rejected": -0.7741900682449341,
1764
+ "step": 117
1765
+ },
1766
+ {
1767
+ "epoch": 2.017094017094017,
1768
+ "grad_norm": 11.314101392657788,
1769
+ "learning_rate": 2.8565371929847283e-08,
1770
+ "logits/chosen": -1.1733815670013428,
1771
+ "logits/rejected": -1.1535022258758545,
1772
+ "logps/chosen": -224.04931640625,
1773
+ "logps/rejected": -233.57009887695312,
1774
+ "loss": 0.559,
1775
+ "rewards/accuracies": 0.734375,
1776
+ "rewards/chosen": -0.026624973863363266,
1777
+ "rewards/margins": 0.598927915096283,
1778
+ "rewards/rejected": -0.6255529522895813,
1779
+ "step": 118
1780
+ },
1781
+ {
1782
+ "epoch": 2.034188034188034,
1783
+ "grad_norm": 10.609916364905763,
1784
+ "learning_rate": 2.7660076774918705e-08,
1785
+ "logits/chosen": -1.1591335535049438,
1786
+ "logits/rejected": -1.1719809770584106,
1787
+ "logps/chosen": -213.2213592529297,
1788
+ "logps/rejected": -222.13528442382812,
1789
+ "loss": 0.5766,
1790
+ "rewards/accuracies": 0.71875,
1791
+ "rewards/chosen": -0.022205304354429245,
1792
+ "rewards/margins": 0.5553700923919678,
1793
+ "rewards/rejected": -0.5775754451751709,
1794
+ "step": 119
1795
+ },
1796
+ {
1797
+ "epoch": 2.051282051282051,
1798
+ "grad_norm": 9.277194276107487,
1799
+ "learning_rate": 2.676384139781157e-08,
1800
+ "logits/chosen": -1.13462233543396,
1801
+ "logits/rejected": -1.1551544666290283,
1802
+ "logps/chosen": -205.19595336914062,
1803
+ "logps/rejected": -215.1734161376953,
1804
+ "loss": 0.4953,
1805
+ "rewards/accuracies": 0.765625,
1806
+ "rewards/chosen": 0.06160476431250572,
1807
+ "rewards/margins": 0.7654368281364441,
1808
+ "rewards/rejected": -0.7038320302963257,
1809
+ "step": 120
1810
+ },
1811
+ {
1812
+ "epoch": 2.0683760683760686,
1813
+ "grad_norm": 14.43220059945904,
1814
+ "learning_rate": 2.5877029259640338e-08,
1815
+ "logits/chosen": -1.1385934352874756,
1816
+ "logits/rejected": -1.155543327331543,
1817
+ "logps/chosen": -222.43588256835938,
1818
+ "logps/rejected": -232.3367919921875,
1819
+ "loss": 0.583,
1820
+ "rewards/accuracies": 0.703125,
1821
+ "rewards/chosen": -0.003830529749393463,
1822
+ "rewards/margins": 0.5772326588630676,
1823
+ "rewards/rejected": -0.5810632109642029,
1824
+ "step": 121
1825
+ },
1826
+ {
1827
+ "epoch": 2.0854700854700856,
1828
+ "grad_norm": 9.261960233599536,
1829
+ "learning_rate": 2.500000000000001e-08,
1830
+ "logits/chosen": -1.1753509044647217,
1831
+ "logits/rejected": -1.1910290718078613,
1832
+ "logps/chosen": -239.65756225585938,
1833
+ "logps/rejected": -247.01385498046875,
1834
+ "loss": 0.549,
1835
+ "rewards/accuracies": 0.734375,
1836
+ "rewards/chosen": 0.0026865769177675247,
1837
+ "rewards/margins": 0.6470093727111816,
1838
+ "rewards/rejected": -0.6443228125572205,
1839
+ "step": 122
1840
+ },
1841
+ {
1842
+ "epoch": 2.1025641025641026,
1843
+ "grad_norm": 10.818430657056384,
1844
+ "learning_rate": 2.4133109291117154e-08,
1845
+ "logits/chosen": -1.124866247177124,
1846
+ "logits/rejected": -1.1370550394058228,
1847
+ "logps/chosen": -230.85189819335938,
1848
+ "logps/rejected": -237.9261474609375,
1849
+ "loss": 0.544,
1850
+ "rewards/accuracies": 0.765625,
1851
+ "rewards/chosen": -0.0110344672575593,
1852
+ "rewards/margins": 0.6254103779792786,
1853
+ "rewards/rejected": -0.6364448070526123,
1854
+ "step": 123
1855
+ },
1856
+ {
1857
+ "epoch": 2.1196581196581197,
1858
+ "grad_norm": 13.121980803220527,
1859
+ "learning_rate": 2.3276708693609942e-08,
1860
+ "logits/chosen": -1.0908477306365967,
1861
+ "logits/rejected": -1.1073415279388428,
1862
+ "logps/chosen": -198.06259155273438,
1863
+ "logps/rejected": -209.06802368164062,
1864
+ "loss": 0.4755,
1865
+ "rewards/accuracies": 0.78125,
1866
+ "rewards/chosen": 0.1449955701828003,
1867
+ "rewards/margins": 0.7855964303016663,
1868
+ "rewards/rejected": -0.6406008005142212,
1869
+ "step": 124
1870
+ },
1871
+ {
1872
+ "epoch": 2.1367521367521367,
1873
+ "grad_norm": 15.529225379367618,
1874
+ "learning_rate": 2.2431145513915417e-08,
1875
+ "logits/chosen": -1.108154535293579,
1876
+ "logits/rejected": -1.133366346359253,
1877
+ "logps/chosen": -190.90164184570312,
1878
+ "logps/rejected": -200.23097229003906,
1879
+ "loss": 0.4427,
1880
+ "rewards/accuracies": 0.84375,
1881
+ "rewards/chosen": 0.17452549934387207,
1882
+ "rewards/margins": 0.8946150541305542,
1883
+ "rewards/rejected": -0.7200895547866821,
1884
+ "step": 125
1885
+ },
1886
+ {
1887
+ "epoch": 2.1538461538461537,
1888
+ "grad_norm": 11.332798892704236,
1889
+ "learning_rate": 2.1596762663442214e-08,
1890
+ "logits/chosen": -1.1180146932601929,
1891
+ "logits/rejected": -1.138838768005371,
1892
+ "logps/chosen": -218.9339599609375,
1893
+ "logps/rejected": -228.8380126953125,
1894
+ "loss": 0.4697,
1895
+ "rewards/accuracies": 0.8125,
1896
+ "rewards/chosen": 0.14934074878692627,
1897
+ "rewards/margins": 0.8204643726348877,
1898
+ "rewards/rejected": -0.6711235642433167,
1899
+ "step": 126
1900
+ },
1901
+ {
1902
+ "epoch": 2.1709401709401708,
1903
+ "grad_norm": 10.760405246726098,
1904
+ "learning_rate": 2.0773898519505568e-08,
1905
+ "logits/chosen": -1.1435554027557373,
1906
+ "logits/rejected": -1.1642358303070068,
1907
+ "logps/chosen": -230.4346923828125,
1908
+ "logps/rejected": -241.82122802734375,
1909
+ "loss": 0.4773,
1910
+ "rewards/accuracies": 0.8125,
1911
+ "rewards/chosen": 0.11793582886457443,
1912
+ "rewards/margins": 0.8177317380905151,
1913
+ "rewards/rejected": -0.6997958421707153,
1914
+ "step": 127
1915
+ },
1916
+ {
1917
+ "epoch": 2.1880341880341883,
1918
+ "grad_norm": 15.324247847127602,
1919
+ "learning_rate": 1.9962886788101045e-08,
1920
+ "logits/chosen": -1.1083301305770874,
1921
+ "logits/rejected": -1.1365399360656738,
1922
+ "logps/chosen": -213.3138427734375,
1923
+ "logps/rejected": -225.28939819335938,
1924
+ "loss": 0.4208,
1925
+ "rewards/accuracies": 0.859375,
1926
+ "rewards/chosen": 0.10102148354053497,
1927
+ "rewards/margins": 0.8890993595123291,
1928
+ "rewards/rejected": -0.7880778312683105,
1929
+ "step": 128
1930
+ },
1931
+ {
1932
+ "epoch": 2.2051282051282053,
1933
+ "grad_norm": 15.466191747354994,
1934
+ "learning_rate": 1.9164056368572844e-08,
1935
+ "logits/chosen": -1.1004691123962402,
1936
+ "logits/rejected": -1.1121408939361572,
1937
+ "logps/chosen": -194.04080200195312,
1938
+ "logps/rejected": -199.37283325195312,
1939
+ "loss": 0.637,
1940
+ "rewards/accuracies": 0.6875,
1941
+ "rewards/chosen": -0.01290151197463274,
1942
+ "rewards/margins": 0.5026463270187378,
1943
+ "rewards/rejected": -0.5155478119850159,
1944
+ "step": 129
1945
+ },
1946
+ {
1947
+ "epoch": 2.2222222222222223,
1948
+ "grad_norm": 15.944238341044407,
1949
+ "learning_rate": 1.837773122023114e-08,
1950
+ "logits/chosen": -1.146977186203003,
1951
+ "logits/rejected": -1.1606022119522095,
1952
+ "logps/chosen": -240.349365234375,
1953
+ "logps/rejected": -251.76963806152344,
1954
+ "loss": 0.5228,
1955
+ "rewards/accuracies": 0.6875,
1956
+ "rewards/chosen": 0.0040101055055856705,
1957
+ "rewards/margins": 0.695541262626648,
1958
+ "rewards/rejected": -0.6915311813354492,
1959
+ "step": 130
1960
+ },
1961
+ {
1962
+ "epoch": 2.2393162393162394,
1963
+ "grad_norm": 15.025893466379495,
1964
+ "learning_rate": 1.7604230230973067e-08,
1965
+ "logits/chosen": -1.13142991065979,
1966
+ "logits/rejected": -1.1480824947357178,
1967
+ "logps/chosen": -194.62799072265625,
1968
+ "logps/rejected": -199.05955505371094,
1969
+ "loss": 0.6138,
1970
+ "rewards/accuracies": 0.6875,
1971
+ "rewards/chosen": -0.024984439834952354,
1972
+ "rewards/margins": 0.4939660131931305,
1973
+ "rewards/rejected": -0.5189504027366638,
1974
+ "step": 131
1975
+ },
1976
+ {
1977
+ "epoch": 2.2564102564102564,
1978
+ "grad_norm": 10.423853403324884,
1979
+ "learning_rate": 1.684386708796025e-08,
1980
+ "logits/chosen": -1.1584217548370361,
1981
+ "logits/rejected": -1.1739740371704102,
1982
+ "logps/chosen": -212.08572387695312,
1983
+ "logps/rejected": -221.51220703125,
1984
+ "loss": 0.4958,
1985
+ "rewards/accuracies": 0.78125,
1986
+ "rewards/chosen": 0.07847034931182861,
1987
+ "rewards/margins": 0.7713154554367065,
1988
+ "rewards/rejected": -0.6928451061248779,
1989
+ "step": 132
1990
+ },
1991
+ {
1992
+ "epoch": 2.2735042735042734,
1993
+ "grad_norm": 9.971803033783335,
1994
+ "learning_rate": 1.6096950150405452e-08,
1995
+ "logits/chosen": -1.1436063051223755,
1996
+ "logits/rejected": -1.160508632659912,
1997
+ "logps/chosen": -204.3734893798828,
1998
+ "logps/rejected": -213.5944061279297,
1999
+ "loss": 0.5091,
2000
+ "rewards/accuracies": 0.796875,
2001
+ "rewards/chosen": 0.07435590028762817,
2002
+ "rewards/margins": 0.7634117007255554,
2003
+ "rewards/rejected": -0.6890558004379272,
2004
+ "step": 133
2005
+ },
2006
+ {
2007
+ "epoch": 2.2905982905982905,
2008
+ "grad_norm": 8.987802075772965,
2009
+ "learning_rate": 1.5363782324520032e-08,
2010
+ "logits/chosen": -1.1349424123764038,
2011
+ "logits/rejected": -1.1463358402252197,
2012
+ "logps/chosen": -208.209716796875,
2013
+ "logps/rejected": -216.95404052734375,
2014
+ "loss": 0.572,
2015
+ "rewards/accuracies": 0.734375,
2016
+ "rewards/chosen": -0.015836581587791443,
2017
+ "rewards/margins": 0.5976603627204895,
2018
+ "rewards/rejected": -0.6134969592094421,
2019
+ "step": 134
2020
+ },
2021
+ {
2022
+ "epoch": 2.3076923076923075,
2023
+ "grad_norm": 21.67620857712611,
2024
+ "learning_rate": 1.4644660940672625e-08,
2025
+ "logits/chosen": -1.1195368766784668,
2026
+ "logits/rejected": -1.128150463104248,
2027
+ "logps/chosen": -186.9232940673828,
2028
+ "logps/rejected": -191.544189453125,
2029
+ "loss": 0.6887,
2030
+ "rewards/accuracies": 0.625,
2031
+ "rewards/chosen": -0.10622984915971756,
2032
+ "rewards/margins": 0.3374324440956116,
2033
+ "rewards/rejected": -0.44366228580474854,
2034
+ "step": 135
2035
+ },
2036
+ {
2037
+ "epoch": 2.324786324786325,
2038
+ "grad_norm": 11.54470517673579,
2039
+ "learning_rate": 1.3939877632809277e-08,
2040
+ "logits/chosen": -1.1393911838531494,
2041
+ "logits/rejected": -1.1634023189544678,
2042
+ "logps/chosen": -197.70037841796875,
2043
+ "logps/rejected": -204.5723876953125,
2044
+ "loss": 0.5297,
2045
+ "rewards/accuracies": 0.796875,
2046
+ "rewards/chosen": -0.007616041228175163,
2047
+ "rewards/margins": 0.6849985122680664,
2048
+ "rewards/rejected": -0.6926145553588867,
2049
+ "step": 136
2050
+ },
2051
+ {
2052
+ "epoch": 2.341880341880342,
2053
+ "grad_norm": 10.368711538125641,
2054
+ "learning_rate": 1.3249718220183582e-08,
2055
+ "logits/chosen": -1.121419906616211,
2056
+ "logits/rejected": -1.1439043283462524,
2057
+ "logps/chosen": -181.91073608398438,
2058
+ "logps/rejected": -191.04998779296875,
2059
+ "loss": 0.4756,
2060
+ "rewards/accuracies": 0.8125,
2061
+ "rewards/chosen": 0.0861404687166214,
2062
+ "rewards/margins": 0.8086279630661011,
2063
+ "rewards/rejected": -0.7224874496459961,
2064
+ "step": 137
2065
+ },
2066
+ {
2067
+ "epoch": 2.358974358974359,
2068
+ "grad_norm": 14.365090496657496,
2069
+ "learning_rate": 1.257446259144494e-08,
2070
+ "logits/chosen": -1.1453857421875,
2071
+ "logits/rejected": -1.1547346115112305,
2072
+ "logps/chosen": -231.15866088867188,
2073
+ "logps/rejected": -237.12417602539062,
2074
+ "loss": 0.6103,
2075
+ "rewards/accuracies": 0.71875,
2076
+ "rewards/chosen": -0.041959621012210846,
2077
+ "rewards/margins": 0.5022944808006287,
2078
+ "rewards/rejected": -0.5442540645599365,
2079
+ "step": 138
2080
+ },
2081
+ {
2082
+ "epoch": 2.376068376068376,
2083
+ "grad_norm": 9.656171349325511,
2084
+ "learning_rate": 1.1914384591132043e-08,
2085
+ "logits/chosen": -1.141068696975708,
2086
+ "logits/rejected": -1.1648932695388794,
2087
+ "logps/chosen": -219.26382446289062,
2088
+ "logps/rejected": -230.5452117919922,
2089
+ "loss": 0.4931,
2090
+ "rewards/accuracies": 0.765625,
2091
+ "rewards/chosen": 0.0493345707654953,
2092
+ "rewards/margins": 0.7861582636833191,
2093
+ "rewards/rejected": -0.7368236780166626,
2094
+ "step": 139
2095
+ },
2096
+ {
2097
+ "epoch": 2.393162393162393,
2098
+ "grad_norm": 15.752618156012147,
2099
+ "learning_rate": 1.1269751908617276e-08,
2100
+ "logits/chosen": -1.136232852935791,
2101
+ "logits/rejected": -1.1563072204589844,
2102
+ "logps/chosen": -227.65208435058594,
2103
+ "logps/rejected": -240.42117309570312,
2104
+ "loss": 0.3967,
2105
+ "rewards/accuracies": 0.859375,
2106
+ "rewards/chosen": 0.1949460506439209,
2107
+ "rewards/margins": 0.9552947282791138,
2108
+ "rewards/rejected": -0.7603486180305481,
2109
+ "step": 140
2110
+ },
2111
+ {
2112
+ "epoch": 2.41025641025641,
2113
+ "grad_norm": 11.31223945225425,
2114
+ "learning_rate": 1.0640825969547496e-08,
2115
+ "logits/chosen": -1.1534329652786255,
2116
+ "logits/rejected": -1.1619985103607178,
2117
+ "logps/chosen": -192.60653686523438,
2118
+ "logps/rejected": -201.87152099609375,
2119
+ "loss": 0.4894,
2120
+ "rewards/accuracies": 0.765625,
2121
+ "rewards/chosen": 0.11703934520483017,
2122
+ "rewards/margins": 0.7475524544715881,
2123
+ "rewards/rejected": -0.6305131316184998,
2124
+ "step": 141
2125
+ },
2126
+ {
2127
+ "epoch": 2.427350427350427,
2128
+ "grad_norm": 12.11110778039733,
2129
+ "learning_rate": 1.0027861829824951e-08,
2130
+ "logits/chosen": -1.1429475545883179,
2131
+ "logits/rejected": -1.1553916931152344,
2132
+ "logps/chosen": -182.27755737304688,
2133
+ "logps/rejected": -190.2538604736328,
2134
+ "loss": 0.4604,
2135
+ "rewards/accuracies": 0.828125,
2136
+ "rewards/chosen": 0.1430453062057495,
2137
+ "rewards/margins": 0.8205001950263977,
2138
+ "rewards/rejected": -0.677454948425293,
2139
+ "step": 142
2140
+ },
2141
+ {
2142
+ "epoch": 2.4444444444444446,
2143
+ "grad_norm": 10.073266909222724,
2144
+ "learning_rate": 9.431108072171346e-09,
2145
+ "logits/chosen": -1.1163727045059204,
2146
+ "logits/rejected": -1.1383988857269287,
2147
+ "logps/chosen": -216.525146484375,
2148
+ "logps/rejected": -227.12210083007812,
2149
+ "loss": 0.4628,
2150
+ "rewards/accuracies": 0.828125,
2151
+ "rewards/chosen": 0.14038164913654327,
2152
+ "rewards/margins": 0.8874834775924683,
2153
+ "rewards/rejected": -0.7471017837524414,
2154
+ "step": 143
2155
+ },
2156
+ {
2157
+ "epoch": 2.4615384615384617,
2158
+ "grad_norm": 13.360992194888963,
2159
+ "learning_rate": 8.850806705317182e-09,
2160
+ "logits/chosen": -1.139005422592163,
2161
+ "logits/rejected": -1.1591947078704834,
2162
+ "logps/chosen": -195.65130615234375,
2163
+ "logps/rejected": -206.27609252929688,
2164
+ "loss": 0.4426,
2165
+ "rewards/accuracies": 0.84375,
2166
+ "rewards/chosen": 0.1284395456314087,
2167
+ "rewards/margins": 0.8563048243522644,
2168
+ "rewards/rejected": -0.7278652191162109,
2169
+ "step": 144
2170
+ },
2171
+ {
2172
+ "epoch": 2.4786324786324787,
2173
+ "grad_norm": 10.67304030614597,
2174
+ "learning_rate": 8.287193065856934e-09,
2175
+ "logits/chosen": -1.1437926292419434,
2176
+ "logits/rejected": -1.1602983474731445,
2177
+ "logps/chosen": -228.97036743164062,
2178
+ "logps/rejected": -236.4608917236328,
2179
+ "loss": 0.5474,
2180
+ "rewards/accuracies": 0.734375,
2181
+ "rewards/chosen": -0.014734627678990364,
2182
+ "rewards/margins": 0.632479190826416,
2183
+ "rewards/rejected": -0.6472138166427612,
2184
+ "step": 145
2185
+ },
2186
+ {
2187
+ "epoch": 2.4957264957264957,
2188
+ "grad_norm": 12.58050150959104,
2189
+ "learning_rate": 7.740495722810269e-09,
2190
+ "logits/chosen": -1.1535564661026,
2191
+ "logits/rejected": -1.1711981296539307,
2192
+ "logps/chosen": -236.28009033203125,
2193
+ "logps/rejected": -246.86940002441406,
2194
+ "loss": 0.5553,
2195
+ "rewards/accuracies": 0.703125,
2196
+ "rewards/chosen": 0.05269505828619003,
2197
+ "rewards/margins": 0.651862382888794,
2198
+ "rewards/rejected": -0.5991672873497009,
2199
+ "step": 146
2200
+ },
2201
+ {
2202
+ "epoch": 2.5128205128205128,
2203
+ "grad_norm": 13.68139629513432,
2204
+ "learning_rate": 7.21093638492763e-09,
2205
+ "logits/chosen": -1.1227092742919922,
2206
+ "logits/rejected": -1.1288495063781738,
2207
+ "logps/chosen": -217.27041625976562,
2208
+ "logps/rejected": -226.31106567382812,
2209
+ "loss": 0.5605,
2210
+ "rewards/accuracies": 0.71875,
2211
+ "rewards/chosen": 0.03952491655945778,
2212
+ "rewards/margins": 0.6230200529098511,
2213
+ "rewards/rejected": -0.5834950804710388,
2214
+ "step": 147
2215
+ },
2216
+ {
2217
+ "epoch": 2.52991452991453,
2218
+ "grad_norm": 11.107710048934456,
2219
+ "learning_rate": 6.698729810778064e-09,
2220
+ "logits/chosen": -1.1167018413543701,
2221
+ "logits/rejected": -1.1288390159606934,
2222
+ "logps/chosen": -172.33506774902344,
2223
+ "logps/rejected": -183.2366943359375,
2224
+ "loss": 0.4722,
2225
+ "rewards/accuracies": 0.765625,
2226
+ "rewards/chosen": 0.07862406969070435,
2227
+ "rewards/margins": 0.8088675737380981,
2228
+ "rewards/rejected": -0.730243444442749,
2229
+ "step": 148
2230
+ },
2231
+ {
2232
+ "epoch": 2.547008547008547,
2233
+ "grad_norm": 9.75424219804887,
2234
+ "learning_rate": 6.2040837216556065e-09,
2235
+ "logits/chosen": -1.1220264434814453,
2236
+ "logits/rejected": -1.1383702754974365,
2237
+ "logps/chosen": -173.99307250976562,
2238
+ "logps/rejected": -180.97409057617188,
2239
+ "loss": 0.547,
2240
+ "rewards/accuracies": 0.75,
2241
+ "rewards/chosen": 0.036549799144268036,
2242
+ "rewards/margins": 0.6526806950569153,
2243
+ "rewards/rejected": -0.6161308288574219,
2244
+ "step": 149
2245
+ },
2246
+ {
2247
+ "epoch": 2.564102564102564,
2248
+ "grad_norm": 9.000110410304462,
2249
+ "learning_rate": 5.72719871733951e-09,
2250
+ "logits/chosen": -1.1478543281555176,
2251
+ "logits/rejected": -1.162055492401123,
2252
+ "logps/chosen": -210.30230712890625,
2253
+ "logps/rejected": -219.92025756835938,
2254
+ "loss": 0.5032,
2255
+ "rewards/accuracies": 0.78125,
2256
+ "rewards/chosen": 0.08797699958086014,
2257
+ "rewards/margins": 0.7658952474594116,
2258
+ "rewards/rejected": -0.6779183149337769,
2259
+ "step": 150
2260
+ },
2261
+ {
2262
+ "epoch": 2.5811965811965814,
2263
+ "grad_norm": 10.1415207023501,
2264
+ "learning_rate": 5.268268194742637e-09,
2265
+ "logits/chosen": -1.1291569471359253,
2266
+ "logits/rejected": -1.1531567573547363,
2267
+ "logps/chosen": -203.74197387695312,
2268
+ "logps/rejected": -214.16635131835938,
2269
+ "loss": 0.4866,
2270
+ "rewards/accuracies": 0.796875,
2271
+ "rewards/chosen": 0.09940335154533386,
2272
+ "rewards/margins": 0.8116313219070435,
2273
+ "rewards/rejected": -0.7122279405593872,
2274
+ "step": 151
2275
+ },
2276
+ {
2277
+ "epoch": 2.5982905982905984,
2278
+ "grad_norm": 16.84344261725859,
2279
+ "learning_rate": 4.8274782694808944e-09,
2280
+ "logits/chosen": -1.1761313676834106,
2281
+ "logits/rejected": -1.1889032125473022,
2282
+ "logps/chosen": -182.23313903808594,
2283
+ "logps/rejected": -190.6284942626953,
2284
+ "loss": 0.602,
2285
+ "rewards/accuracies": 0.6875,
2286
+ "rewards/chosen": -0.0021361373364925385,
2287
+ "rewards/margins": 0.5903259515762329,
2288
+ "rewards/rejected": -0.5924620628356934,
2289
+ "step": 152
2290
+ },
2291
+ {
2292
+ "epoch": 2.6153846153846154,
2293
+ "grad_norm": 10.342640560846462,
2294
+ "learning_rate": 4.405007700395497e-09,
2295
+ "logits/chosen": -1.245884656906128,
2296
+ "logits/rejected": -1.2569400072097778,
2297
+ "logps/chosen": -233.83187866210938,
2298
+ "logps/rejected": -241.43829345703125,
2299
+ "loss": 0.5602,
2300
+ "rewards/accuracies": 0.734375,
2301
+ "rewards/chosen": 0.08486086875200272,
2302
+ "rewards/margins": 0.6137546300888062,
2303
+ "rewards/rejected": -0.528893768787384,
2304
+ "step": 153
2305
+ },
2306
+ {
2307
+ "epoch": 2.6324786324786325,
2308
+ "grad_norm": 11.195110544830893,
2309
+ "learning_rate": 4.001027817058789e-09,
2310
+ "logits/chosen": -1.1756093502044678,
2311
+ "logits/rejected": -1.1821260452270508,
2312
+ "logps/chosen": -209.090576171875,
2313
+ "logps/rejected": -217.76544189453125,
2314
+ "loss": 0.5369,
2315
+ "rewards/accuracies": 0.734375,
2316
+ "rewards/chosen": 0.026307465508580208,
2317
+ "rewards/margins": 0.6771571636199951,
2318
+ "rewards/rejected": -0.6508496999740601,
2319
+ "step": 154
2320
+ },
2321
+ {
2322
+ "epoch": 2.6495726495726495,
2323
+ "grad_norm": 11.468843056927497,
2324
+ "learning_rate": 3.615702450292857e-09,
2325
+ "logits/chosen": -1.1457751989364624,
2326
+ "logits/rejected": -1.1615948677062988,
2327
+ "logps/chosen": -200.81849670410156,
2328
+ "logps/rejected": -208.45953369140625,
2329
+ "loss": 0.5635,
2330
+ "rewards/accuracies": 0.71875,
2331
+ "rewards/chosen": 0.04140181466937065,
2332
+ "rewards/margins": 0.6608602404594421,
2333
+ "rewards/rejected": -0.6194584369659424,
2334
+ "step": 155
2335
+ },
2336
+ {
2337
+ "epoch": 2.6666666666666665,
2338
+ "grad_norm": 16.10613082091144,
2339
+ "learning_rate": 3.249187865729264e-09,
2340
+ "logits/chosen": -1.1295171976089478,
2341
+ "logits/rejected": -1.141875147819519,
2342
+ "logps/chosen": -204.73062133789062,
2343
+ "logps/rejected": -210.01327514648438,
2344
+ "loss": 0.6465,
2345
+ "rewards/accuracies": 0.640625,
2346
+ "rewards/chosen": -0.11547264456748962,
2347
+ "rewards/margins": 0.4126802086830139,
2348
+ "rewards/rejected": -0.5281528830528259,
2349
+ "step": 156
2350
+ },
2351
+ {
2352
+ "epoch": 2.683760683760684,
2353
+ "grad_norm": 10.03655045878155,
2354
+ "learning_rate": 2.901632700436757e-09,
2355
+ "logits/chosen": -1.143242597579956,
2356
+ "logits/rejected": -1.160161018371582,
2357
+ "logps/chosen": -174.2664031982422,
2358
+ "logps/rejected": -182.31903076171875,
2359
+ "loss": 0.4945,
2360
+ "rewards/accuracies": 0.8125,
2361
+ "rewards/chosen": 0.08182242512702942,
2362
+ "rewards/margins": 0.7298170328140259,
2363
+ "rewards/rejected": -0.6479946374893188,
2364
+ "step": 157
2365
+ },
2366
+ {
2367
+ "epoch": 2.700854700854701,
2368
+ "grad_norm": 11.305104367611348,
2369
+ "learning_rate": 2.573177902642726e-09,
2370
+ "logits/chosen": -1.1665239334106445,
2371
+ "logits/rejected": -1.182492733001709,
2372
+ "logps/chosen": -229.9663848876953,
2373
+ "logps/rejected": -237.08203125,
2374
+ "loss": 0.5943,
2375
+ "rewards/accuracies": 0.734375,
2376
+ "rewards/chosen": 0.023433707654476166,
2377
+ "rewards/margins": 0.551005482673645,
2378
+ "rewards/rejected": -0.5275717973709106,
2379
+ "step": 158
2380
+ },
2381
+ {
2382
+ "epoch": 2.717948717948718,
2383
+ "grad_norm": 10.504878974042182,
2384
+ "learning_rate": 2.26395667457272e-09,
2385
+ "logits/chosen": -1.1970775127410889,
2386
+ "logits/rejected": -1.2054022550582886,
2387
+ "logps/chosen": -190.76803588867188,
2388
+ "logps/rejected": -199.29653930664062,
2389
+ "loss": 0.5558,
2390
+ "rewards/accuracies": 0.71875,
2391
+ "rewards/chosen": -0.001526951789855957,
2392
+ "rewards/margins": 0.6256418228149414,
2393
+ "rewards/rejected": -0.6271687746047974,
2394
+ "step": 159
2395
+ },
2396
+ {
2397
+ "epoch": 2.735042735042735,
2398
+ "grad_norm": 11.325581828780779,
2399
+ "learning_rate": 1.974094418431388e-09,
2400
+ "logits/chosen": -1.184805154800415,
2401
+ "logits/rejected": -1.1994928121566772,
2402
+ "logps/chosen": -221.29714965820312,
2403
+ "logps/rejected": -229.39114379882812,
2404
+ "loss": 0.5348,
2405
+ "rewards/accuracies": 0.78125,
2406
+ "rewards/chosen": 0.07320481538772583,
2407
+ "rewards/margins": 0.7132403254508972,
2408
+ "rewards/rejected": -0.6400355100631714,
2409
+ "step": 160
2410
+ },
2411
+ {
2412
+ "epoch": 2.752136752136752,
2413
+ "grad_norm": 16.606322072532784,
2414
+ "learning_rate": 1.70370868554659e-09,
2415
+ "logits/chosen": -1.1502766609191895,
2416
+ "logits/rejected": -1.1701258420944214,
2417
+ "logps/chosen": -203.93157958984375,
2418
+ "logps/rejected": -213.386962890625,
2419
+ "loss": 0.5016,
2420
+ "rewards/accuracies": 0.765625,
2421
+ "rewards/chosen": 0.08069507777690887,
2422
+ "rewards/margins": 0.741931676864624,
2423
+ "rewards/rejected": -0.6612365245819092,
2424
+ "step": 161
2425
+ },
2426
+ {
2427
+ "epoch": 2.769230769230769,
2428
+ "grad_norm": 9.332158126942588,
2429
+ "learning_rate": 1.4529091286973993e-09,
2430
+ "logits/chosen": -1.176550269126892,
2431
+ "logits/rejected": -1.1953678131103516,
2432
+ "logps/chosen": -200.64903259277344,
2433
+ "logps/rejected": -209.88601684570312,
2434
+ "loss": 0.4562,
2435
+ "rewards/accuracies": 0.8125,
2436
+ "rewards/chosen": 0.1343638300895691,
2437
+ "rewards/margins": 0.8853030204772949,
2438
+ "rewards/rejected": -0.750939130783081,
2439
+ "step": 162
2440
+ },
2441
+ {
2442
+ "epoch": 2.786324786324786,
2443
+ "grad_norm": 12.305989450270319,
2444
+ "learning_rate": 1.2217974576453073e-09,
2445
+ "logits/chosen": -1.1757240295410156,
2446
+ "logits/rejected": -1.194833517074585,
2447
+ "logps/chosen": -190.90017700195312,
2448
+ "logps/rejected": -198.53961181640625,
2449
+ "loss": 0.505,
2450
+ "rewards/accuracies": 0.765625,
2451
+ "rewards/chosen": 0.09432975947856903,
2452
+ "rewards/margins": 0.7659503221511841,
2453
+ "rewards/rejected": -0.6716204881668091,
2454
+ "step": 163
2455
+ },
2456
+ {
2457
+ "epoch": 2.8034188034188032,
2458
+ "grad_norm": 13.908389521076861,
2459
+ "learning_rate": 1.0104673978866163e-09,
2460
+ "logits/chosen": -1.1564306020736694,
2461
+ "logits/rejected": -1.1730563640594482,
2462
+ "logps/chosen": -194.90380859375,
2463
+ "logps/rejected": -205.46780395507812,
2464
+ "loss": 0.4662,
2465
+ "rewards/accuracies": 0.828125,
2466
+ "rewards/chosen": 0.04942229017615318,
2467
+ "rewards/margins": 0.8170619606971741,
2468
+ "rewards/rejected": -0.767639696598053,
2469
+ "step": 164
2470
+ },
2471
+ {
2472
+ "epoch": 2.8205128205128203,
2473
+ "grad_norm": 12.780769520987649,
2474
+ "learning_rate": 8.190046526428241e-10,
2475
+ "logits/chosen": -1.1861720085144043,
2476
+ "logits/rejected": -1.1941571235656738,
2477
+ "logps/chosen": -183.89785766601562,
2478
+ "logps/rejected": -190.7549591064453,
2479
+ "loss": 0.5988,
2480
+ "rewards/accuracies": 0.671875,
2481
+ "rewards/chosen": -0.07762289047241211,
2482
+ "rewards/margins": 0.5094401836395264,
2483
+ "rewards/rejected": -0.5870630741119385,
2484
+ "step": 165
2485
+ },
2486
+ {
2487
+ "epoch": 2.8376068376068377,
2488
+ "grad_norm": 10.131031386454218,
2489
+ "learning_rate": 6.474868681043578e-10,
2490
+ "logits/chosen": -1.1564173698425293,
2491
+ "logits/rejected": -1.1741199493408203,
2492
+ "logps/chosen": -203.1290283203125,
2493
+ "logps/rejected": -211.66384887695312,
2494
+ "loss": 0.4907,
2495
+ "rewards/accuracies": 0.8125,
2496
+ "rewards/chosen": 0.0838145986199379,
2497
+ "rewards/margins": 0.7962778806686401,
2498
+ "rewards/rejected": -0.7124632596969604,
2499
+ "step": 166
2500
+ },
2501
+ {
2502
+ "epoch": 2.8547008547008548,
2503
+ "grad_norm": 8.399367808780221,
2504
+ "learning_rate": 4.959836019417962e-10,
2505
+ "logits/chosen": -1.1661570072174072,
2506
+ "logits/rejected": -1.1843953132629395,
2507
+ "logps/chosen": -211.7659454345703,
2508
+ "logps/rejected": -222.60427856445312,
2509
+ "loss": 0.4925,
2510
+ "rewards/accuracies": 0.796875,
2511
+ "rewards/chosen": 0.0809076726436615,
2512
+ "rewards/margins": 0.8028526902198792,
2513
+ "rewards/rejected": -0.72194504737854,
2514
+ "step": 167
2515
+ },
2516
+ {
2517
+ "epoch": 2.871794871794872,
2518
+ "grad_norm": 11.616005571882278,
2519
+ "learning_rate": 3.6455629509730133e-10,
2520
+ "logits/chosen": -1.1654963493347168,
2521
+ "logits/rejected": -1.184993028640747,
2522
+ "logps/chosen": -196.7091827392578,
2523
+ "logps/rejected": -209.18038940429688,
2524
+ "loss": 0.4599,
2525
+ "rewards/accuracies": 0.78125,
2526
+ "rewards/chosen": 0.11940186470746994,
2527
+ "rewards/margins": 0.8598418235778809,
2528
+ "rewards/rejected": -0.7404400110244751,
2529
+ "step": 168
2530
+ },
2531
+ {
2532
+ "epoch": 2.888888888888889,
2533
+ "grad_norm": 12.195394944591055,
2534
+ "learning_rate": 2.5325824686772135e-10,
2535
+ "logits/chosen": -1.1688848733901978,
2536
+ "logits/rejected": -1.196124792098999,
2537
+ "logps/chosen": -199.17605590820312,
2538
+ "logps/rejected": -209.53363037109375,
2539
+ "loss": 0.4399,
2540
+ "rewards/accuracies": 0.84375,
2541
+ "rewards/chosen": 0.12242993712425232,
2542
+ "rewards/margins": 0.9102602005004883,
2543
+ "rewards/rejected": -0.7878302931785583,
2544
+ "step": 169
2545
+ },
2546
+ {
2547
+ "epoch": 2.905982905982906,
2548
+ "grad_norm": 9.305104818842697,
2549
+ "learning_rate": 1.6213459328950352e-10,
2550
+ "logits/chosen": -1.173734426498413,
2551
+ "logits/rejected": -1.2014164924621582,
2552
+ "logps/chosen": -220.3543701171875,
2553
+ "logps/rejected": -229.80990600585938,
2554
+ "loss": 0.5311,
2555
+ "rewards/accuracies": 0.78125,
2556
+ "rewards/chosen": 0.02049381658434868,
2557
+ "rewards/margins": 0.716760516166687,
2558
+ "rewards/rejected": -0.6962666511535645,
2559
+ "step": 170
2560
+ },
2561
+ {
2562
+ "epoch": 2.9230769230769234,
2563
+ "grad_norm": 11.737143533763412,
2564
+ "learning_rate": 9.122228883412519e-11,
2565
+ "logits/chosen": -1.1701695919036865,
2566
+ "logits/rejected": -1.1954526901245117,
2567
+ "logps/chosen": -189.93716430664062,
2568
+ "logps/rejected": -201.12091064453125,
2569
+ "loss": 0.4288,
2570
+ "rewards/accuracies": 0.84375,
2571
+ "rewards/chosen": 0.1308666169643402,
2572
+ "rewards/margins": 0.9327261447906494,
2573
+ "rewards/rejected": -0.8018596172332764,
2574
+ "step": 171
2575
+ },
2576
+ {
2577
+ "epoch": 2.9401709401709404,
2578
+ "grad_norm": 10.598228899609609,
2579
+ "learning_rate": 4.055009142152066e-11,
2580
+ "logits/chosen": -1.1600360870361328,
2581
+ "logits/rejected": -1.1835734844207764,
2582
+ "logps/chosen": -206.61842346191406,
2583
+ "logps/rejected": -217.8074951171875,
2584
+ "loss": 0.4494,
2585
+ "rewards/accuracies": 0.828125,
2586
+ "rewards/chosen": 0.20338577032089233,
2587
+ "rewards/margins": 0.8938266038894653,
2588
+ "rewards/rejected": -0.6904407739639282,
2589
+ "step": 172
2590
+ },
2591
+ {
2592
+ "epoch": 2.9572649572649574,
2593
+ "grad_norm": 10.014863605317403,
2594
+ "learning_rate": 1.0138550757493591e-11,
2595
+ "logits/chosen": -1.1498973369598389,
2596
+ "logits/rejected": -1.1670013666152954,
2597
+ "logps/chosen": -202.51608276367188,
2598
+ "logps/rejected": -209.33724975585938,
2599
+ "loss": 0.5679,
2600
+ "rewards/accuracies": 0.71875,
2601
+ "rewards/chosen": -0.014209911227226257,
2602
+ "rewards/margins": 0.590630054473877,
2603
+ "rewards/rejected": -0.6048400402069092,
2604
+ "step": 173
2605
+ },
2606
+ {
2607
+ "epoch": 2.9743589743589745,
2608
+ "grad_norm": 9.75470963806605,
2609
+ "learning_rate": 0.0,
2610
+ "logits/chosen": -1.1818571090698242,
2611
+ "logits/rejected": -1.1973093748092651,
2612
+ "logps/chosen": -228.11502075195312,
2613
+ "logps/rejected": -236.86996459960938,
2614
+ "loss": 0.5039,
2615
+ "rewards/accuracies": 0.78125,
2616
+ "rewards/chosen": 0.055170848965644836,
2617
+ "rewards/margins": 0.7427819967269897,
2618
+ "rewards/rejected": -0.6876111030578613,
2619
+ "step": 174
2620
+ },
2621
+ {
2622
+ "epoch": 2.9743589743589745,
2623
+ "step": 174,
2624
+ "total_flos": 12717170049024.0,
2625
+ "train_loss": 0.5604205996483221,
2626
+ "train_runtime": 1532.2128,
2627
+ "train_samples_per_second": 7.327,
2628
+ "train_steps_per_second": 0.114
2629
+ }
2630
+ ],
2631
+ "logging_steps": 1.0,
2632
+ "max_steps": 174,
2633
+ "num_input_tokens_seen": 0,
2634
+ "num_train_epochs": 3,
2635
+ "save_steps": 500,
2636
+ "stateful_callbacks": {
2637
+ "TrainerControl": {
2638
+ "args": {
2639
+ "should_epoch_stop": false,
2640
+ "should_evaluate": false,
2641
+ "should_log": false,
2642
+ "should_save": true,
2643
+ "should_training_stop": true
2644
+ },
2645
+ "attributes": {}
2646
+ }
2647
+ },
2648
+ "total_flos": 12717170049024.0,
2649
+ "train_batch_size": 1,
2650
+ "trial_name": null,
2651
+ "trial_params": null
2652
+ }
training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:bb8fe677151d5f5478a8d0beae503b45ed3e2ff55ce16a51123a65ce22751129
3
+ size 7480
vocab.json ADDED
The diff for this file is too large to render. See raw diff