chenggong1995 commited on
Commit
38cbaf4
·
verified ·
1 Parent(s): 566d365

Model save

Browse files
README.md ADDED
@@ -0,0 +1,68 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ base_model: allenai/OLMoE-1B-7B-0125-Instruct
3
+ library_name: transformers
4
+ model_name: OLMoE-1B-7B-0125-Instruct-grpo
5
+ tags:
6
+ - generated_from_trainer
7
+ - trl
8
+ - grpo
9
+ licence: license
10
+ ---
11
+
12
+ # Model Card for OLMoE-1B-7B-0125-Instruct-grpo
13
+
14
+ This model is a fine-tuned version of [allenai/OLMoE-1B-7B-0125-Instruct](https://huggingface.co/allenai/OLMoE-1B-7B-0125-Instruct).
15
+ It has been trained using [TRL](https://github.com/huggingface/trl).
16
+
17
+ ## Quick start
18
+
19
+ ```python
20
+ from transformers import pipeline
21
+
22
+ question = "If you had a time machine, but could only go to the past or the future once and never return, which would you choose and why?"
23
+ generator = pipeline("text-generation", model="chenggong1995/OLMoE-1B-7B-0125-Instruct-grpo", device="cuda")
24
+ output = generator([{"role": "user", "content": question}], max_new_tokens=128, return_full_text=False)[0]
25
+ print(output["generated_text"])
26
+ ```
27
+
28
+ ## Training procedure
29
+
30
+ [<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="150" height="24"/>](https://wandb.ai/gongc1995-city-university-of-hong-kong/huggingface/runs/papxj9zr)
31
+
32
+
33
+ This model was trained with GRPO, a method introduced in [DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models](https://huggingface.co/papers/2402.03300).
34
+
35
+ ### Framework versions
36
+
37
+ - TRL: 0.16.0.dev0
38
+ - Transformers: 4.49.0.dev0
39
+ - Pytorch: 2.5.1
40
+ - Datasets: 3.2.0
41
+ - Tokenizers: 0.21.0
42
+
43
+ ## Citations
44
+
45
+ Cite GRPO as:
46
+
47
+ ```bibtex
48
+ @article{zhihong2024deepseekmath,
49
+ title = {{DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models}},
50
+ author = {Zhihong Shao and Peiyi Wang and Qihao Zhu and Runxin Xu and Junxiao Song and Mingchuan Zhang and Y. K. Li and Y. Wu and Daya Guo},
51
+ year = 2024,
52
+ eprint = {arXiv:2402.03300},
53
+ }
54
+
55
+ ```
56
+
57
+ Cite TRL as:
58
+
59
+ ```bibtex
60
+ @misc{vonwerra2022trl,
61
+ title = {{TRL: Transformer Reinforcement Learning}},
62
+ author = {Leandro von Werra and Younes Belkada and Lewis Tunstall and Edward Beeching and Tristan Thrush and Nathan Lambert and Shengyi Huang and Kashif Rasul and Quentin Gallouédec},
63
+ year = 2020,
64
+ journal = {GitHub repository},
65
+ publisher = {GitHub},
66
+ howpublished = {\url{https://github.com/huggingface/trl}}
67
+ }
68
+ ```
all_results.json ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "total_flos": 0.0,
3
+ "train_loss": 0.01271514138510042,
4
+ "train_runtime": 147461.7668,
5
+ "train_samples": 72441,
6
+ "train_samples_per_second": 0.491,
7
+ "train_steps_per_second": 0.004
8
+ }
config.json ADDED
@@ -0,0 +1,33 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_name_or_path": "allenai/OLMoE-1B-7B-0125-Instruct",
3
+ "architectures": [
4
+ "OlmoeForCausalLM"
5
+ ],
6
+ "attention_bias": false,
7
+ "attention_dropout": 0.0,
8
+ "clip_qkv": null,
9
+ "eos_token_id": 50279,
10
+ "hidden_act": "silu",
11
+ "hidden_size": 2048,
12
+ "initializer_range": 0.02,
13
+ "intermediate_size": 1024,
14
+ "max_position_embeddings": 4096,
15
+ "model_type": "olmoe",
16
+ "norm_topk_prob": false,
17
+ "num_attention_heads": 16,
18
+ "num_experts": 64,
19
+ "num_experts_per_tok": 8,
20
+ "num_hidden_layers": 16,
21
+ "num_key_value_heads": 16,
22
+ "output_router_logits": false,
23
+ "pad_token_id": 1,
24
+ "rms_norm_eps": 1e-05,
25
+ "rope_scaling": null,
26
+ "rope_theta": 10000.0,
27
+ "router_aux_loss_coef": 0.01,
28
+ "tie_word_embeddings": false,
29
+ "torch_dtype": "bfloat16",
30
+ "transformers_version": "4.49.0.dev0",
31
+ "use_cache": false,
32
+ "vocab_size": 50304
33
+ }
generation_config.json ADDED
@@ -0,0 +1,6 @@
 
 
 
 
 
 
 
1
+ {
2
+ "_from_model_config": true,
3
+ "eos_token_id": 50279,
4
+ "pad_token_id": 1,
5
+ "transformers_version": "4.49.0.dev0"
6
+ }
model-00001-of-00003.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:f1909a6771bf5f61c6d117bd479d14bc6a180db3ffe32bd2c09746e2d445972e
3
+ size 4997744872
model-00002-of-00003.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:44c276968b28dc5a27fe503f3bc4fdfdfaedc77b7011657a0c1d212b54082e89
3
+ size 4997235176
model-00003-of-00003.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:998814a0196413ffbdd822f2d4beb069f44ef1cf932a3aefd3bf488fa15c3baf
3
+ size 3843741912
model.safetensors.index.json ADDED
The diff for this file is too large to render. See raw diff
 
special_tokens_map.json ADDED
@@ -0,0 +1,23 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "bos_token": {
3
+ "content": "|||IP_ADDRESS|||",
4
+ "lstrip": false,
5
+ "normalized": true,
6
+ "rstrip": false,
7
+ "single_word": false
8
+ },
9
+ "eos_token": {
10
+ "content": "|||IP_ADDRESS|||",
11
+ "lstrip": false,
12
+ "normalized": true,
13
+ "rstrip": false,
14
+ "single_word": false
15
+ },
16
+ "pad_token": {
17
+ "content": "<pad>",
18
+ "lstrip": false,
19
+ "normalized": false,
20
+ "rstrip": false,
21
+ "single_word": false
22
+ }
23
+ }
tokenizer.json ADDED
The diff for this file is too large to render. See raw diff
 
tokenizer_config.json ADDED
@@ -0,0 +1,249 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "add_bos_token": false,
3
+ "add_eos_token": false,
4
+ "add_prefix_space": false,
5
+ "added_tokens_decoder": {
6
+ "0": {
7
+ "content": "<|endoftext|>",
8
+ "lstrip": false,
9
+ "normalized": false,
10
+ "rstrip": false,
11
+ "single_word": false,
12
+ "special": true
13
+ },
14
+ "1": {
15
+ "content": "<|padding|>",
16
+ "lstrip": false,
17
+ "normalized": false,
18
+ "rstrip": false,
19
+ "single_word": false,
20
+ "special": true
21
+ },
22
+ "50254": {
23
+ "content": " ",
24
+ "lstrip": false,
25
+ "normalized": true,
26
+ "rstrip": false,
27
+ "single_word": false,
28
+ "special": false
29
+ },
30
+ "50255": {
31
+ "content": " ",
32
+ "lstrip": false,
33
+ "normalized": true,
34
+ "rstrip": false,
35
+ "single_word": false,
36
+ "special": false
37
+ },
38
+ "50256": {
39
+ "content": " ",
40
+ "lstrip": false,
41
+ "normalized": true,
42
+ "rstrip": false,
43
+ "single_word": false,
44
+ "special": false
45
+ },
46
+ "50257": {
47
+ "content": " ",
48
+ "lstrip": false,
49
+ "normalized": true,
50
+ "rstrip": false,
51
+ "single_word": false,
52
+ "special": false
53
+ },
54
+ "50258": {
55
+ "content": " ",
56
+ "lstrip": false,
57
+ "normalized": true,
58
+ "rstrip": false,
59
+ "single_word": false,
60
+ "special": false
61
+ },
62
+ "50259": {
63
+ "content": " ",
64
+ "lstrip": false,
65
+ "normalized": true,
66
+ "rstrip": false,
67
+ "single_word": false,
68
+ "special": false
69
+ },
70
+ "50260": {
71
+ "content": " ",
72
+ "lstrip": false,
73
+ "normalized": true,
74
+ "rstrip": false,
75
+ "single_word": false,
76
+ "special": false
77
+ },
78
+ "50261": {
79
+ "content": " ",
80
+ "lstrip": false,
81
+ "normalized": true,
82
+ "rstrip": false,
83
+ "single_word": false,
84
+ "special": false
85
+ },
86
+ "50262": {
87
+ "content": " ",
88
+ "lstrip": false,
89
+ "normalized": true,
90
+ "rstrip": false,
91
+ "single_word": false,
92
+ "special": false
93
+ },
94
+ "50263": {
95
+ "content": " ",
96
+ "lstrip": false,
97
+ "normalized": true,
98
+ "rstrip": false,
99
+ "single_word": false,
100
+ "special": false
101
+ },
102
+ "50264": {
103
+ "content": " ",
104
+ "lstrip": false,
105
+ "normalized": true,
106
+ "rstrip": false,
107
+ "single_word": false,
108
+ "special": false
109
+ },
110
+ "50265": {
111
+ "content": " ",
112
+ "lstrip": false,
113
+ "normalized": true,
114
+ "rstrip": false,
115
+ "single_word": false,
116
+ "special": false
117
+ },
118
+ "50266": {
119
+ "content": " ",
120
+ "lstrip": false,
121
+ "normalized": true,
122
+ "rstrip": false,
123
+ "single_word": false,
124
+ "special": false
125
+ },
126
+ "50267": {
127
+ "content": " ",
128
+ "lstrip": false,
129
+ "normalized": true,
130
+ "rstrip": false,
131
+ "single_word": false,
132
+ "special": false
133
+ },
134
+ "50268": {
135
+ "content": " ",
136
+ "lstrip": false,
137
+ "normalized": true,
138
+ "rstrip": false,
139
+ "single_word": false,
140
+ "special": false
141
+ },
142
+ "50269": {
143
+ "content": " ",
144
+ "lstrip": false,
145
+ "normalized": true,
146
+ "rstrip": false,
147
+ "single_word": false,
148
+ "special": false
149
+ },
150
+ "50270": {
151
+ "content": " ",
152
+ "lstrip": false,
153
+ "normalized": true,
154
+ "rstrip": false,
155
+ "single_word": false,
156
+ "special": false
157
+ },
158
+ "50271": {
159
+ "content": " ",
160
+ "lstrip": false,
161
+ "normalized": true,
162
+ "rstrip": false,
163
+ "single_word": false,
164
+ "special": false
165
+ },
166
+ "50272": {
167
+ "content": " ",
168
+ "lstrip": false,
169
+ "normalized": true,
170
+ "rstrip": false,
171
+ "single_word": false,
172
+ "special": false
173
+ },
174
+ "50273": {
175
+ "content": " ",
176
+ "lstrip": false,
177
+ "normalized": true,
178
+ "rstrip": false,
179
+ "single_word": false,
180
+ "special": false
181
+ },
182
+ "50274": {
183
+ "content": " ",
184
+ "lstrip": false,
185
+ "normalized": true,
186
+ "rstrip": false,
187
+ "single_word": false,
188
+ "special": false
189
+ },
190
+ "50275": {
191
+ "content": " ",
192
+ "lstrip": false,
193
+ "normalized": true,
194
+ "rstrip": false,
195
+ "single_word": false,
196
+ "special": false
197
+ },
198
+ "50276": {
199
+ "content": " ",
200
+ "lstrip": false,
201
+ "normalized": true,
202
+ "rstrip": false,
203
+ "single_word": false,
204
+ "special": false
205
+ },
206
+ "50277": {
207
+ "content": "|||EMAIL_ADDRESS|||",
208
+ "lstrip": false,
209
+ "normalized": true,
210
+ "rstrip": false,
211
+ "single_word": false,
212
+ "special": false
213
+ },
214
+ "50278": {
215
+ "content": "|||PHONE_NUMBER|||",
216
+ "lstrip": false,
217
+ "normalized": true,
218
+ "rstrip": false,
219
+ "single_word": false,
220
+ "special": false
221
+ },
222
+ "50279": {
223
+ "content": "|||IP_ADDRESS|||",
224
+ "lstrip": false,
225
+ "normalized": true,
226
+ "rstrip": false,
227
+ "single_word": false,
228
+ "special": true
229
+ },
230
+ "50280": {
231
+ "content": "<pad>",
232
+ "lstrip": false,
233
+ "normalized": false,
234
+ "rstrip": false,
235
+ "single_word": false,
236
+ "special": true
237
+ }
238
+ },
239
+ "bos_token": "|||IP_ADDRESS|||",
240
+ "chat_template": "{{ bos_token }}{% for message in messages %}{% if message['role'] == 'system' %}{{ '<|system|>\n' + message['content'] + '\n' }}{% elif message['role'] == 'user' %}{{ '<|user|>\n' + message['content'] + '\n' }}{% elif message['role'] == 'assistant' %}{% if not loop.last %}{{ '<|assistant|>\n' + message['content'] + eos_token + '\n' }}{% else %}{{ '<|assistant|>\n' + message['content'] + eos_token }}{% endif %}{% endif %}{% if loop.last and add_generation_prompt %}{{ '<|assistant|>\n' }}{% endif %}{% endfor %}",
241
+ "clean_up_tokenization_spaces": false,
242
+ "eos_token": "|||IP_ADDRESS|||",
243
+ "extra_special_tokens": {},
244
+ "model_max_length": 1000000000000000019884624838656,
245
+ "pad_token": "<pad>",
246
+ "padding_side": "left",
247
+ "tokenizer_class": "GPTNeoXTokenizer",
248
+ "unk_token": null
249
+ }
train_results.json ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "total_flos": 0.0,
3
+ "train_loss": 0.01271514138510042,
4
+ "train_runtime": 147461.7668,
5
+ "train_samples": 72441,
6
+ "train_samples_per_second": 0.491,
7
+ "train_steps_per_second": 0.004
8
+ }
trainer_state.json ADDED
@@ -0,0 +1,1809 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": null,
3
+ "best_model_checkpoint": null,
4
+ "epoch": 0.9987438399845395,
5
+ "eval_steps": 100,
6
+ "global_step": 646,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "completion_length": 457.96500358581545,
13
+ "epoch": 0.007730215479756498,
14
+ "grad_norm": 0.7608509038009253,
15
+ "kl": 0.0007220268249511719,
16
+ "learning_rate": 7.692307692307694e-07,
17
+ "loss": 0.0,
18
+ "reward": 0.45107144135981797,
19
+ "reward_std": 0.4365754766389728,
20
+ "rewards/accuracy_reward": 0.04785714372992515,
21
+ "rewards/format_reward": 0.4032142972573638,
22
+ "step": 5
23
+ },
24
+ {
25
+ "completion_length": 445.5060745239258,
26
+ "epoch": 0.015460430959512996,
27
+ "grad_norm": 1.5113540423097132,
28
+ "kl": 0.006823968887329101,
29
+ "learning_rate": 1.5384615384615387e-06,
30
+ "loss": 0.0003,
31
+ "reward": 0.5625000160187483,
32
+ "reward_std": 0.4424866631627083,
33
+ "rewards/accuracy_reward": 0.06107142954133451,
34
+ "rewards/format_reward": 0.5014285854995251,
35
+ "step": 10
36
+ },
37
+ {
38
+ "completion_length": 411.183215713501,
39
+ "epoch": 0.023190646439269495,
40
+ "grad_norm": 1.5933497538626709,
41
+ "kl": 0.029457855224609374,
42
+ "learning_rate": 2.307692307692308e-06,
43
+ "loss": 0.0012,
44
+ "reward": 0.7785714413970709,
45
+ "reward_std": 0.35438590599223974,
46
+ "rewards/accuracy_reward": 0.05464285819325596,
47
+ "rewards/format_reward": 0.7239285875111818,
48
+ "step": 15
49
+ },
50
+ {
51
+ "completion_length": 381.2946424484253,
52
+ "epoch": 0.03092086191902599,
53
+ "grad_norm": 0.4776993449956818,
54
+ "kl": 0.02753753662109375,
55
+ "learning_rate": 3.0769230769230774e-06,
56
+ "loss": 0.0011,
57
+ "reward": 0.8642857238650322,
58
+ "reward_std": 0.29294114708900454,
59
+ "rewards/accuracy_reward": 0.03821428623050451,
60
+ "rewards/format_reward": 0.8260714389383793,
61
+ "step": 20
62
+ },
63
+ {
64
+ "completion_length": 362.5117889404297,
65
+ "epoch": 0.03865107739878249,
66
+ "grad_norm": 0.635286407672086,
67
+ "kl": 0.03197479248046875,
68
+ "learning_rate": 3.846153846153847e-06,
69
+ "loss": 0.0013,
70
+ "reward": 0.9035714380443096,
71
+ "reward_std": 0.23572507686913013,
72
+ "rewards/accuracy_reward": 0.032142857718281445,
73
+ "rewards/format_reward": 0.8714285790920258,
74
+ "step": 25
75
+ },
76
+ {
77
+ "completion_length": 315.9125024795532,
78
+ "epoch": 0.04638129287853899,
79
+ "grad_norm": 0.3737341489393726,
80
+ "kl": 0.042462158203125,
81
+ "learning_rate": 4.615384615384616e-06,
82
+ "loss": 0.0017,
83
+ "reward": 0.9617857217788697,
84
+ "reward_std": 0.1909911316819489,
85
+ "rewards/accuracy_reward": 0.04142857207916677,
86
+ "rewards/format_reward": 0.920357147604227,
87
+ "step": 30
88
+ },
89
+ {
90
+ "completion_length": 303.57821617126467,
91
+ "epoch": 0.054111508358295486,
92
+ "grad_norm": 0.29770380771379046,
93
+ "kl": 0.05437469482421875,
94
+ "learning_rate": 5.384615384615385e-06,
95
+ "loss": 0.0022,
96
+ "reward": 0.975714298337698,
97
+ "reward_std": 0.16020548259839415,
98
+ "rewards/accuracy_reward": 0.03321428613271564,
99
+ "rewards/format_reward": 0.942500003427267,
100
+ "step": 35
101
+ },
102
+ {
103
+ "completion_length": 327.77964363098147,
104
+ "epoch": 0.06184172383805198,
105
+ "grad_norm": 0.4560285277274068,
106
+ "kl": 0.056903076171875,
107
+ "learning_rate": 6.153846153846155e-06,
108
+ "loss": 0.0023,
109
+ "reward": 1.016785728931427,
110
+ "reward_std": 0.1489170640707016,
111
+ "rewards/accuracy_reward": 0.05392857214901596,
112
+ "rewards/format_reward": 0.9628571450710297,
113
+ "step": 40
114
+ },
115
+ {
116
+ "completion_length": 365.1317882537842,
117
+ "epoch": 0.06957193931780849,
118
+ "grad_norm": 0.31719927124196806,
119
+ "kl": 0.0534454345703125,
120
+ "learning_rate": 6.923076923076923e-06,
121
+ "loss": 0.0021,
122
+ "reward": 1.0375000171363353,
123
+ "reward_std": 0.19086767928674817,
124
+ "rewards/accuracy_reward": 0.08285714453086257,
125
+ "rewards/format_reward": 0.9546428598463536,
126
+ "step": 45
127
+ },
128
+ {
129
+ "completion_length": 358.1814300537109,
130
+ "epoch": 0.07730215479756498,
131
+ "grad_norm": 0.38771993742220967,
132
+ "kl": 0.06278076171875,
133
+ "learning_rate": 7.692307692307694e-06,
134
+ "loss": 0.0025,
135
+ "reward": 1.040357157588005,
136
+ "reward_std": 0.21823968663811683,
137
+ "rewards/accuracy_reward": 0.0939285738626495,
138
+ "rewards/format_reward": 0.9464285746216774,
139
+ "step": 50
140
+ },
141
+ {
142
+ "completion_length": 338.32928562164307,
143
+ "epoch": 0.08503237027732148,
144
+ "grad_norm": 0.3009616852428193,
145
+ "kl": 0.07071533203125,
146
+ "learning_rate": 8.461538461538462e-06,
147
+ "loss": 0.0028,
148
+ "reward": 1.0582143023610115,
149
+ "reward_std": 0.1873143390752375,
150
+ "rewards/accuracy_reward": 0.09785714475437998,
151
+ "rewards/format_reward": 0.9603571452200412,
152
+ "step": 55
153
+ },
154
+ {
155
+ "completion_length": 355.8407180786133,
156
+ "epoch": 0.09276258575707798,
157
+ "grad_norm": 0.325964246595786,
158
+ "kl": 0.07974853515625,
159
+ "learning_rate": 9.230769230769232e-06,
160
+ "loss": 0.0032,
161
+ "reward": 1.0664285972714425,
162
+ "reward_std": 0.1719504727050662,
163
+ "rewards/accuracy_reward": 0.09464285941794515,
164
+ "rewards/format_reward": 0.9717857159674168,
165
+ "step": 60
166
+ },
167
+ {
168
+ "completion_length": 385.9732172012329,
169
+ "epoch": 0.10049280123683448,
170
+ "grad_norm": 0.29390759666087973,
171
+ "kl": 0.095562744140625,
172
+ "learning_rate": 1e-05,
173
+ "loss": 0.0038,
174
+ "reward": 1.1042857334017753,
175
+ "reward_std": 0.22559863626956939,
176
+ "rewards/accuracy_reward": 0.14392857477068902,
177
+ "rewards/format_reward": 0.9603571452200412,
178
+ "step": 65
179
+ },
180
+ {
181
+ "completion_length": 361.5596435546875,
182
+ "epoch": 0.10822301671659097,
183
+ "grad_norm": 0.3746410425327759,
184
+ "kl": 0.115264892578125,
185
+ "learning_rate": 9.99817273706943e-06,
186
+ "loss": 0.0046,
187
+ "reward": 1.1235714480280876,
188
+ "reward_std": 0.20448200711980463,
189
+ "rewards/accuracy_reward": 0.1439285755623132,
190
+ "rewards/format_reward": 0.9796428583562374,
191
+ "step": 70
192
+ },
193
+ {
194
+ "completion_length": 348.6992870330811,
195
+ "epoch": 0.11595323219634747,
196
+ "grad_norm": 0.3978179778651091,
197
+ "kl": 0.148199462890625,
198
+ "learning_rate": 9.992692283833639e-06,
199
+ "loss": 0.0059,
200
+ "reward": 1.154285728931427,
201
+ "reward_std": 0.25590373622253537,
202
+ "rewards/accuracy_reward": 0.19571429127827286,
203
+ "rewards/format_reward": 0.9585714310407638,
204
+ "step": 75
205
+ },
206
+ {
207
+ "completion_length": 360.27392997741697,
208
+ "epoch": 0.12368344767610397,
209
+ "grad_norm": 0.3285728265102151,
210
+ "kl": 0.122698974609375,
211
+ "learning_rate": 9.983562645984248e-06,
212
+ "loss": 0.0049,
213
+ "reward": 1.108214306086302,
214
+ "reward_std": 0.207218668051064,
215
+ "rewards/accuracy_reward": 0.1371428606333211,
216
+ "rewards/format_reward": 0.9710714302957058,
217
+ "step": 80
218
+ },
219
+ {
220
+ "completion_length": 326.5525007247925,
221
+ "epoch": 0.13141366315586048,
222
+ "grad_norm": 0.3701658784343864,
223
+ "kl": 0.13370361328125,
224
+ "learning_rate": 9.970790496420781e-06,
225
+ "loss": 0.0053,
226
+ "reward": 1.1421428725123406,
227
+ "reward_std": 0.22562065320089458,
228
+ "rewards/accuracy_reward": 0.17250000457279385,
229
+ "rewards/format_reward": 0.9696428589522839,
230
+ "step": 85
231
+ },
232
+ {
233
+ "completion_length": 340.90464515686034,
234
+ "epoch": 0.13914387863561697,
235
+ "grad_norm": 0.3053892797015973,
236
+ "kl": 0.197650146484375,
237
+ "learning_rate": 9.954385170373415e-06,
238
+ "loss": 0.0079,
239
+ "reward": 1.2007143080234528,
240
+ "reward_std": 0.223483042512089,
241
+ "rewards/accuracy_reward": 0.22071429125498981,
242
+ "rewards/format_reward": 0.9800000011920929,
243
+ "step": 90
244
+ },
245
+ {
246
+ "completion_length": 370.76178760528563,
247
+ "epoch": 0.14687409411537347,
248
+ "grad_norm": 0.26661678402016015,
249
+ "kl": 0.15225830078125,
250
+ "learning_rate": 9.934358658579808e-06,
251
+ "loss": 0.0061,
252
+ "reward": 1.2128571577370166,
253
+ "reward_std": 0.24409643467515707,
254
+ "rewards/accuracy_reward": 0.24714286350645126,
255
+ "rewards/format_reward": 0.9657142877578735,
256
+ "step": 95
257
+ },
258
+ {
259
+ "completion_length": 383.44642810821534,
260
+ "epoch": 0.15460430959512997,
261
+ "grad_norm": 0.24333486200642604,
262
+ "kl": 0.140423583984375,
263
+ "learning_rate": 9.910725598521014e-06,
264
+ "loss": 0.0056,
265
+ "reward": 1.1667857356369495,
266
+ "reward_std": 0.22021743915975095,
267
+ "rewards/accuracy_reward": 0.19857143445406109,
268
+ "rewards/format_reward": 0.968214287608862,
269
+ "step": 100
270
+ },
271
+ {
272
+ "epoch": 0.15460430959512997,
273
+ "eval_completion_length": 356.63817596435547,
274
+ "eval_kl": 0.14697265625,
275
+ "eval_loss": 0.005899494513869286,
276
+ "eval_reward": 1.2053571343421936,
277
+ "eval_reward_std": 0.25127829425036907,
278
+ "eval_rewards/accuracy_reward": 0.23571429401636124,
279
+ "eval_rewards/format_reward": 0.9696428775787354,
280
+ "eval_runtime": 85.1811,
281
+ "eval_samples_per_second": 1.162,
282
+ "eval_steps_per_second": 0.023,
283
+ "step": 100
284
+ },
285
+ {
286
+ "completion_length": 381.14428634643554,
287
+ "epoch": 0.16233452507488647,
288
+ "grad_norm": 0.32426868486126564,
289
+ "kl": 0.153460693359375,
290
+ "learning_rate": 9.883503263722864e-06,
291
+ "loss": 0.0061,
292
+ "reward": 1.2335714444518089,
293
+ "reward_std": 0.23903345353901387,
294
+ "rewards/accuracy_reward": 0.25892857937142255,
295
+ "rewards/format_reward": 0.9746428586542606,
296
+ "step": 105
297
+ },
298
+ {
299
+ "completion_length": 369.8639308929443,
300
+ "epoch": 0.17006474055464296,
301
+ "grad_norm": 0.2662792930753043,
302
+ "kl": 0.16746826171875,
303
+ "learning_rate": 9.852711551130662e-06,
304
+ "loss": 0.0067,
305
+ "reward": 1.2200000181794166,
306
+ "reward_std": 0.21895755929872393,
307
+ "rewards/accuracy_reward": 0.24428572261240333,
308
+ "rewards/format_reward": 0.9757142871618271,
309
+ "step": 110
310
+ },
311
+ {
312
+ "completion_length": 336.4314300537109,
313
+ "epoch": 0.17779495603439946,
314
+ "grad_norm": 0.3050936417250258,
315
+ "kl": 0.1807861328125,
316
+ "learning_rate": 9.818372966566404e-06,
317
+ "loss": 0.0072,
318
+ "reward": 1.201428586244583,
319
+ "reward_std": 0.2133496488444507,
320
+ "rewards/accuracy_reward": 0.22321429231669754,
321
+ "rewards/format_reward": 0.9782142870128154,
322
+ "step": 115
323
+ },
324
+ {
325
+ "completion_length": 350.5678596496582,
326
+ "epoch": 0.18552517151415596,
327
+ "grad_norm": 0.34458458483928667,
328
+ "kl": 0.19677734375,
329
+ "learning_rate": 9.780512608279156e-06,
330
+ "loss": 0.0079,
331
+ "reward": 1.146071445941925,
332
+ "reward_std": 0.2668243307620287,
333
+ "rewards/accuracy_reward": 0.2042857193853706,
334
+ "rewards/format_reward": 0.9417857177555561,
335
+ "step": 120
336
+ },
337
+ {
338
+ "completion_length": 433.7532165527344,
339
+ "epoch": 0.19325538699391245,
340
+ "grad_norm": 0.36013965861594144,
341
+ "kl": 0.220751953125,
342
+ "learning_rate": 9.739158148600609e-06,
343
+ "loss": 0.0088,
344
+ "reward": 1.0971428729593753,
345
+ "reward_std": 0.3263824795372784,
346
+ "rewards/accuracy_reward": 0.21000000613275915,
347
+ "rewards/format_reward": 0.887142863869667,
348
+ "step": 125
349
+ },
350
+ {
351
+ "completion_length": 497.63500156402586,
352
+ "epoch": 0.20098560247366895,
353
+ "grad_norm": 0.34690086218654914,
354
+ "kl": 0.248583984375,
355
+ "learning_rate": 9.694339813719243e-06,
356
+ "loss": 0.0099,
357
+ "reward": 1.1189285896718502,
358
+ "reward_std": 0.2914966750890017,
359
+ "rewards/accuracy_reward": 0.19928571924101562,
360
+ "rewards/format_reward": 0.9196428619325161,
361
+ "step": 130
362
+ },
363
+ {
364
+ "completion_length": 326.64821701049806,
365
+ "epoch": 0.20871581795342545,
366
+ "grad_norm": 0.33711598936424164,
367
+ "kl": 0.22991943359375,
368
+ "learning_rate": 9.646090361587828e-06,
369
+ "loss": 0.0092,
370
+ "reward": 1.2050000175833702,
371
+ "reward_std": 0.23595014372840523,
372
+ "rewards/accuracy_reward": 0.23321429167408497,
373
+ "rewards/format_reward": 0.9717857159674168,
374
+ "step": 135
375
+ },
376
+ {
377
+ "completion_length": 337.5925010681152,
378
+ "epoch": 0.21644603343318194,
379
+ "grad_norm": 19.330410175568485,
380
+ "kl": 0.3224609375,
381
+ "learning_rate": 9.594445057980483e-06,
382
+ "loss": 0.0129,
383
+ "reward": 1.2114285856485367,
384
+ "reward_std": 0.2494897256605327,
385
+ "rewards/accuracy_reward": 0.2425000074552372,
386
+ "rewards/format_reward": 0.9689285732805729,
387
+ "step": 140
388
+ },
389
+ {
390
+ "completion_length": 359.734645652771,
391
+ "epoch": 0.22417624891293844,
392
+ "grad_norm": 1.318993891026559,
393
+ "kl": 0.32476806640625,
394
+ "learning_rate": 9.539441650716744e-06,
395
+ "loss": 0.013,
396
+ "reward": 1.1532142981886864,
397
+ "reward_std": 0.268144457321614,
398
+ "rewards/accuracy_reward": 0.22357143508270383,
399
+ "rewards/format_reward": 0.9296428613364697,
400
+ "step": 145
401
+ },
402
+ {
403
+ "completion_length": 308.5442869186401,
404
+ "epoch": 0.23190646439269494,
405
+ "grad_norm": 5.642497910156749,
406
+ "kl": 0.4279296875,
407
+ "learning_rate": 9.481120342071462e-06,
408
+ "loss": 0.0171,
409
+ "reward": 1.1817857310175897,
410
+ "reward_std": 0.2727494416758418,
411
+ "rewards/accuracy_reward": 0.23892857865430414,
412
+ "rewards/format_reward": 0.9428571462631226,
413
+ "step": 150
414
+ },
415
+ {
416
+ "completion_length": 271.07821559906006,
417
+ "epoch": 0.23963667987245144,
418
+ "grad_norm": 12.266848353099874,
419
+ "kl": 0.36064453125,
420
+ "learning_rate": 9.41952375939078e-06,
421
+ "loss": 0.0144,
422
+ "reward": 1.2067857295274735,
423
+ "reward_std": 0.2593365713953972,
424
+ "rewards/accuracy_reward": 0.24535714988596738,
425
+ "rewards/format_reward": 0.9614285737276077,
426
+ "step": 155
427
+ },
428
+ {
429
+ "completion_length": 275.08464469909666,
430
+ "epoch": 0.24736689535220793,
431
+ "grad_norm": 0.34495859229810133,
432
+ "kl": 0.226123046875,
433
+ "learning_rate": 9.354696923935573e-06,
434
+ "loss": 0.009,
435
+ "reward": 1.2053571574389934,
436
+ "reward_std": 0.25177041683346035,
437
+ "rewards/accuracy_reward": 0.24000000536907465,
438
+ "rewards/format_reward": 0.9653571449220181,
439
+ "step": 160
440
+ },
441
+ {
442
+ "completion_length": 250.24928703308106,
443
+ "epoch": 0.25509711083196446,
444
+ "grad_norm": 0.3975356570351778,
445
+ "kl": 0.30623779296875,
446
+ "learning_rate": 9.28668721797517e-06,
447
+ "loss": 0.0123,
448
+ "reward": 1.2103571623563767,
449
+ "reward_std": 0.2850337457843125,
450
+ "rewards/accuracy_reward": 0.26000000804197043,
451
+ "rewards/format_reward": 0.9503571458160878,
452
+ "step": 165
453
+ },
454
+ {
455
+ "completion_length": 240.8703582763672,
456
+ "epoch": 0.26282732631172095,
457
+ "grad_norm": 15.560140664497903,
458
+ "kl": 0.58157958984375,
459
+ "learning_rate": 9.215544350155423e-06,
460
+ "loss": 0.0233,
461
+ "reward": 1.1975000113248826,
462
+ "reward_std": 0.23778518568724394,
463
+ "rewards/accuracy_reward": 0.23892857872415335,
464
+ "rewards/format_reward": 0.9585714310407638,
465
+ "step": 170
466
+ },
467
+ {
468
+ "completion_length": 244.13857307434083,
469
+ "epoch": 0.27055754179147745,
470
+ "grad_norm": 0.32982217891891835,
471
+ "kl": 0.33167724609375,
472
+ "learning_rate": 9.141320319166387e-06,
473
+ "loss": 0.0133,
474
+ "reward": 1.2264285899698735,
475
+ "reward_std": 0.19883861131966113,
476
+ "rewards/accuracy_reward": 0.24464286372531205,
477
+ "rewards/format_reward": 0.9817857153713703,
478
+ "step": 175
479
+ },
480
+ {
481
+ "completion_length": 250.61321525573732,
482
+ "epoch": 0.27828775727123395,
483
+ "grad_norm": 0.6994861767616407,
484
+ "kl": 0.28465576171875,
485
+ "learning_rate": 9.064069375736216e-06,
486
+ "loss": 0.0114,
487
+ "reward": 1.1882142946124077,
488
+ "reward_std": 0.24957463573664426,
489
+ "rewards/accuracy_reward": 0.23000000652391464,
490
+ "rewards/format_reward": 0.9582142882049084,
491
+ "step": 180
492
+ },
493
+ {
494
+ "completion_length": 172.02142906188965,
495
+ "epoch": 0.28601797275099045,
496
+ "grad_norm": 1.042105326460384,
497
+ "kl": 0.7489013671875,
498
+ "learning_rate": 8.983847982979022e-06,
499
+ "loss": 0.03,
500
+ "reward": 1.0496428698301314,
501
+ "reward_std": 0.3774342490360141,
502
+ "rewards/accuracy_reward": 0.18750000472646206,
503
+ "rewards/format_reward": 0.8621428653597831,
504
+ "step": 185
505
+ },
506
+ {
507
+ "completion_length": 202.3928581237793,
508
+ "epoch": 0.29374818823074694,
509
+ "grad_norm": 0.5558652862204951,
510
+ "kl": 0.478271484375,
511
+ "learning_rate": 8.900714775125696e-06,
512
+ "loss": 0.0191,
513
+ "reward": 1.119642873853445,
514
+ "reward_std": 0.2985226408578455,
515
+ "rewards/accuracy_reward": 0.20392857666593045,
516
+ "rewards/format_reward": 0.9157142907381057,
517
+ "step": 190
518
+ },
519
+ {
520
+ "completion_length": 254.10214443206786,
521
+ "epoch": 0.30147840371050344,
522
+ "grad_norm": 0.37080340908454873,
523
+ "kl": 0.543505859375,
524
+ "learning_rate": 8.814730514667841e-06,
525
+ "loss": 0.0217,
526
+ "reward": 1.193214301019907,
527
+ "reward_std": 0.20587898194789886,
528
+ "rewards/accuracy_reward": 0.22071429206989707,
529
+ "rewards/format_reward": 0.9725000016391278,
530
+ "step": 195
531
+ },
532
+ {
533
+ "completion_length": 239.24893054962158,
534
+ "epoch": 0.30920861919025994,
535
+ "grad_norm": 1.419820098954415,
536
+ "kl": 0.29251708984375,
537
+ "learning_rate": 8.725958047946155e-06,
538
+ "loss": 0.0117,
539
+ "reward": 1.2103571616113187,
540
+ "reward_std": 0.2034143740311265,
541
+ "rewards/accuracy_reward": 0.21821429126430303,
542
+ "rewards/format_reward": 0.9921428576111794,
543
+ "step": 200
544
+ },
545
+ {
546
+ "epoch": 0.30920861919025994,
547
+ "eval_completion_length": 248.33312606811523,
548
+ "eval_kl": 0.275390625,
549
+ "eval_loss": 0.011179111897945404,
550
+ "eval_reward": 1.2339285761117935,
551
+ "eval_reward_std": 0.21089003048837185,
552
+ "eval_rewards/accuracy_reward": 0.24285714887082577,
553
+ "eval_rewards/format_reward": 0.9910714328289032,
554
+ "eval_runtime": 65.1713,
555
+ "eval_samples_per_second": 1.519,
556
+ "eval_steps_per_second": 0.031,
557
+ "step": 200
558
+ },
559
+ {
560
+ "completion_length": 277.3242883682251,
561
+ "epoch": 0.31693883467001643,
562
+ "grad_norm": 0.4847949666125137,
563
+ "kl": 0.28834228515625,
564
+ "learning_rate": 8.634462259215719e-06,
565
+ "loss": 0.0115,
566
+ "reward": 1.224642877280712,
567
+ "reward_std": 0.21538263475522398,
568
+ "rewards/accuracy_reward": 0.2310714353341609,
569
+ "rewards/format_reward": 0.9935714289546013,
570
+ "step": 205
571
+ },
572
+ {
573
+ "completion_length": 312.77535858154295,
574
+ "epoch": 0.32466905014977293,
575
+ "grad_norm": 0.2890010677054343,
576
+ "kl": 0.29903564453125,
577
+ "learning_rate": 8.540310023221751e-06,
578
+ "loss": 0.012,
579
+ "reward": 1.2089285902678966,
580
+ "reward_std": 0.21994048971682786,
581
+ "rewards/accuracy_reward": 0.22392857696395368,
582
+ "rewards/format_reward": 0.9850000008940697,
583
+ "step": 210
584
+ },
585
+ {
586
+ "completion_length": 326.0450016021729,
587
+ "epoch": 0.33239926562952943,
588
+ "grad_norm": 1.5857581308410953,
589
+ "kl": 0.3697021484375,
590
+ "learning_rate": 8.443570156320518e-06,
591
+ "loss": 0.0148,
592
+ "reward": 1.2025000154972076,
593
+ "reward_std": 0.23657457055523992,
594
+ "rewards/accuracy_reward": 0.22392857796512544,
595
+ "rewards/format_reward": 0.978571429848671,
596
+ "step": 215
597
+ },
598
+ {
599
+ "completion_length": 316.9417865753174,
600
+ "epoch": 0.3401294811092859,
601
+ "grad_norm": 0.3354478326906057,
602
+ "kl": 0.335546875,
603
+ "learning_rate": 8.344313366181096e-06,
604
+ "loss": 0.0134,
605
+ "reward": 1.2114285811781884,
606
+ "reward_std": 0.22043001046404243,
607
+ "rewards/accuracy_reward": 0.22142857748549433,
608
+ "rewards/format_reward": 0.9900000005960464,
609
+ "step": 220
610
+ },
611
+ {
612
+ "completion_length": 322.1989326477051,
613
+ "epoch": 0.3478596965890424,
614
+ "grad_norm": 0.3533516561360887,
615
+ "kl": 0.2961669921875,
616
+ "learning_rate": 8.242612200104779e-06,
617
+ "loss": 0.0118,
618
+ "reward": 1.1957143053412438,
619
+ "reward_std": 0.1864888435229659,
620
+ "rewards/accuracy_reward": 0.20000000530853868,
621
+ "rewards/format_reward": 0.9957142859697342,
622
+ "step": 225
623
+ },
624
+ {
625
+ "completion_length": 350.877858543396,
626
+ "epoch": 0.3555899120687989,
627
+ "grad_norm": 0.2820220582755007,
628
+ "kl": 0.29697265625,
629
+ "learning_rate": 8.138540991999871e-06,
630
+ "loss": 0.0119,
631
+ "reward": 1.1785714492201804,
632
+ "reward_std": 0.2050869233906269,
633
+ "rewards/accuracy_reward": 0.18892857611645014,
634
+ "rewards/format_reward": 0.989642857760191,
635
+ "step": 230
636
+ },
637
+ {
638
+ "completion_length": 401.6375032424927,
639
+ "epoch": 0.3633201275485554,
640
+ "grad_norm": 3.0020500774885437,
641
+ "kl": 0.28485107421875,
642
+ "learning_rate": 8.032175808050659e-06,
643
+ "loss": 0.0114,
644
+ "reward": 1.1100000217556953,
645
+ "reward_std": 0.1967215022072196,
646
+ "rewards/accuracy_reward": 0.13000000335741788,
647
+ "rewards/format_reward": 0.9800000011920929,
648
+ "step": 235
649
+ },
650
+ {
651
+ "completion_length": 355.40107440948486,
652
+ "epoch": 0.3710503430283119,
653
+ "grad_norm": 0.28586570118341365,
654
+ "kl": 0.25643310546875,
655
+ "learning_rate": 7.923594391120237e-06,
656
+ "loss": 0.0103,
657
+ "reward": 1.182142873108387,
658
+ "reward_std": 0.25666751638054847,
659
+ "rewards/accuracy_reward": 0.2135714341653511,
660
+ "rewards/format_reward": 0.9685714304447174,
661
+ "step": 240
662
+ },
663
+ {
664
+ "completion_length": 343.7985729217529,
665
+ "epoch": 0.3787805585080684,
666
+ "grad_norm": 0.31296482492061484,
667
+ "kl": 0.2564697265625,
668
+ "learning_rate": 7.812876103927845e-06,
669
+ "loss": 0.0103,
670
+ "reward": 1.2296428754925728,
671
+ "reward_std": 0.24015271971002222,
672
+ "rewards/accuracy_reward": 0.26000000685453417,
673
+ "rewards/format_reward": 0.9696428589522839,
674
+ "step": 245
675
+ },
676
+ {
677
+ "completion_length": 370.3635730743408,
678
+ "epoch": 0.3865107739878249,
679
+ "grad_norm": 0.29554233915571987,
680
+ "kl": 0.308056640625,
681
+ "learning_rate": 7.700101871042254e-06,
682
+ "loss": 0.0123,
683
+ "reward": 1.2103571586310864,
684
+ "reward_std": 0.24133061729371547,
685
+ "rewards/accuracy_reward": 0.24000000657979398,
686
+ "rewards/format_reward": 0.9703571446239948,
687
+ "step": 250
688
+ },
689
+ {
690
+ "completion_length": 360.6953601837158,
691
+ "epoch": 0.3942409894675814,
692
+ "grad_norm": 0.2413456510082092,
693
+ "kl": 0.24384765625,
694
+ "learning_rate": 7.5853541197335716e-06,
695
+ "loss": 0.0098,
696
+ "reward": 1.2132143005728722,
697
+ "reward_std": 0.22292996691539885,
698
+ "rewards/accuracy_reward": 0.23035714915022254,
699
+ "rewards/format_reward": 0.9828571438789367,
700
+ "step": 255
701
+ },
702
+ {
703
+ "completion_length": 350.62500114440917,
704
+ "epoch": 0.4019712049473379,
705
+ "grad_norm": 0.37205800913968085,
706
+ "kl": 0.2304443359375,
707
+ "learning_rate": 7.468716719726733e-06,
708
+ "loss": 0.0092,
709
+ "reward": 1.2350000202655793,
710
+ "reward_std": 0.22238717656582593,
711
+ "rewards/accuracy_reward": 0.25107143486384303,
712
+ "rewards/format_reward": 0.9839285723865032,
713
+ "step": 260
714
+ },
715
+ {
716
+ "completion_length": 345.0939315795898,
717
+ "epoch": 0.4097014204270944,
718
+ "grad_norm": 0.5062737177381504,
719
+ "kl": 0.476416015625,
720
+ "learning_rate": 7.3502749219006795e-06,
721
+ "loss": 0.0191,
722
+ "reward": 1.2007143013179302,
723
+ "reward_std": 0.24597819074988364,
724
+ "rewards/accuracy_reward": 0.23928572090808303,
725
+ "rewards/format_reward": 0.9614285737276077,
726
+ "step": 265
727
+ },
728
+ {
729
+ "completion_length": 352.0803602218628,
730
+ "epoch": 0.4174316359068509,
731
+ "grad_norm": 0.6322459279226639,
732
+ "kl": 0.49012451171875,
733
+ "learning_rate": 7.230115295978048e-06,
734
+ "loss": 0.0196,
735
+ "reward": 1.1835714481770991,
736
+ "reward_std": 0.25889406390488146,
737
+ "rewards/accuracy_reward": 0.23107143563684077,
738
+ "rewards/format_reward": 0.9525000028312206,
739
+ "step": 270
740
+ },
741
+ {
742
+ "completion_length": 329.8617877960205,
743
+ "epoch": 0.4251618513866074,
744
+ "grad_norm": 0.6668664351542097,
745
+ "kl": 0.54197998046875,
746
+ "learning_rate": 7.10832566725092e-06,
747
+ "loss": 0.0217,
748
+ "reward": 1.2160714395344256,
749
+ "reward_std": 0.2636732104234397,
750
+ "rewards/accuracy_reward": 0.25285714818164706,
751
+ "rewards/format_reward": 0.9632142879068851,
752
+ "step": 275
753
+ },
754
+ {
755
+ "completion_length": 332.9325021743774,
756
+ "epoch": 0.4328920668663639,
757
+ "grad_norm": 0.862765307967942,
758
+ "kl": 0.3385986328125,
759
+ "learning_rate": 6.984995052388856e-06,
760
+ "loss": 0.0136,
761
+ "reward": 1.216785727441311,
762
+ "reward_std": 0.22093856362625958,
763
+ "rewards/accuracy_reward": 0.2428571493830532,
764
+ "rewards/format_reward": 0.9739285729825496,
765
+ "step": 280
766
+ },
767
+ {
768
+ "completion_length": 312.248931312561,
769
+ "epoch": 0.4406222823461204,
770
+ "grad_norm": 0.24545660293906987,
771
+ "kl": 0.2172607421875,
772
+ "learning_rate": 6.860213594376153e-06,
773
+ "loss": 0.0087,
774
+ "reward": 1.2532143011689185,
775
+ "reward_std": 0.2206911792047322,
776
+ "rewards/accuracy_reward": 0.2650000074878335,
777
+ "rewards/format_reward": 0.988214286416769,
778
+ "step": 285
779
+ },
780
+ {
781
+ "completion_length": 332.121431350708,
782
+ "epoch": 0.4483524978258769,
783
+ "grad_norm": 0.26547805533093827,
784
+ "kl": 0.21544189453125,
785
+ "learning_rate": 6.734072496625867e-06,
786
+ "loss": 0.0086,
787
+ "reward": 1.2425000101327897,
788
+ "reward_std": 0.22103301845490933,
789
+ "rewards/accuracy_reward": 0.2614285790361464,
790
+ "rewards/format_reward": 0.9810714296996593,
791
+ "step": 290
792
+ },
793
+ {
794
+ "completion_length": 375.60142974853517,
795
+ "epoch": 0.4560827133056334,
796
+ "grad_norm": 0.3864015818375869,
797
+ "kl": 0.29462890625,
798
+ "learning_rate": 6.606663956318782e-06,
799
+ "loss": 0.0118,
800
+ "reward": 1.2335714407265186,
801
+ "reward_std": 0.2652750977315009,
802
+ "rewards/accuracy_reward": 0.27428572135977447,
803
+ "rewards/format_reward": 0.9592857167124749,
804
+ "step": 295
805
+ },
806
+ {
807
+ "completion_length": 374.28750228881836,
808
+ "epoch": 0.4638129287853899,
809
+ "grad_norm": 0.3911583369947814,
810
+ "kl": 0.4628662109375,
811
+ "learning_rate": 6.478081097015985e-06,
812
+ "loss": 0.0185,
813
+ "reward": 1.2142857298254968,
814
+ "reward_std": 0.2580754934810102,
815
+ "rewards/accuracy_reward": 0.26392857884056864,
816
+ "rewards/format_reward": 0.9503571458160878,
817
+ "step": 300
818
+ },
819
+ {
820
+ "epoch": 0.4638129287853899,
821
+ "eval_completion_length": 332.5970458984375,
822
+ "eval_kl": 0.37158203125,
823
+ "eval_loss": 0.015323814935982227,
824
+ "eval_reward": 1.2125000059604645,
825
+ "eval_reward_std": 0.2901066914200783,
826
+ "eval_rewards/accuracy_reward": 0.25000000558793545,
827
+ "eval_rewards/format_reward": 0.9625000134110451,
828
+ "eval_runtime": 79.9,
829
+ "eval_samples_per_second": 1.239,
830
+ "eval_steps_per_second": 0.025,
831
+ "step": 300
832
+ },
833
+ {
834
+ "completion_length": 343.74143199920655,
835
+ "epoch": 0.4715431442651464,
836
+ "grad_norm": 0.38709550861776243,
837
+ "kl": 0.419091796875,
838
+ "learning_rate": 6.348417900594408e-06,
839
+ "loss": 0.0168,
840
+ "reward": 1.2289285875856877,
841
+ "reward_std": 0.24545602239668368,
842
+ "rewards/accuracy_reward": 0.2603571491781622,
843
+ "rewards/format_reward": 0.9685714304447174,
844
+ "step": 305
845
+ },
846
+ {
847
+ "completion_length": 334.96392917633057,
848
+ "epoch": 0.47927335974490287,
849
+ "grad_norm": 0.4392077094147235,
850
+ "kl": 0.39736328125,
851
+ "learning_rate": 6.2177691385549595e-06,
852
+ "loss": 0.0159,
853
+ "reward": 1.2221428737044335,
854
+ "reward_std": 0.21934431809931992,
855
+ "rewards/accuracy_reward": 0.24250000559259205,
856
+ "rewards/format_reward": 0.9796428583562374,
857
+ "step": 310
858
+ },
859
+ {
860
+ "completion_length": 308.76142902374266,
861
+ "epoch": 0.48700357522465937,
862
+ "grad_norm": 0.32886450863598027,
863
+ "kl": 0.333636474609375,
864
+ "learning_rate": 6.086230302753563e-06,
865
+ "loss": 0.0133,
866
+ "reward": 1.2160714440047742,
867
+ "reward_std": 0.19036251278594135,
868
+ "rewards/accuracy_reward": 0.23107143498491495,
869
+ "rewards/format_reward": 0.9850000008940697,
870
+ "step": 315
871
+ },
872
+ {
873
+ "completion_length": 333.30928802490234,
874
+ "epoch": 0.49473379070441587,
875
+ "grad_norm": 1.3946586911147487,
876
+ "kl": 0.37911376953125,
877
+ "learning_rate": 5.95389753560565e-06,
878
+ "loss": 0.0152,
879
+ "reward": 1.218928585201502,
880
+ "reward_std": 0.2294909401796758,
881
+ "rewards/accuracy_reward": 0.24178572059608996,
882
+ "rewards/format_reward": 0.9771428585052491,
883
+ "step": 320
884
+ },
885
+ {
886
+ "completion_length": 340.629288482666,
887
+ "epoch": 0.5024640061841724,
888
+ "grad_norm": 0.46150339120676787,
889
+ "kl": 0.36011962890625,
890
+ "learning_rate": 5.820867559815186e-06,
891
+ "loss": 0.0144,
892
+ "reward": 1.236071441322565,
893
+ "reward_std": 0.21350146597251296,
894
+ "rewards/accuracy_reward": 0.26500000632368026,
895
+ "rewards/format_reward": 0.9710714302957058,
896
+ "step": 325
897
+ },
898
+ {
899
+ "completion_length": 330.6417865753174,
900
+ "epoch": 0.5101942216639289,
901
+ "grad_norm": 0.7086286073905499,
902
+ "kl": 0.37000732421875,
903
+ "learning_rate": 5.68723760767954e-06,
904
+ "loss": 0.0148,
905
+ "reward": 1.2314285844564439,
906
+ "reward_std": 0.24753115382045507,
907
+ "rewards/accuracy_reward": 0.263571435585618,
908
+ "rewards/format_reward": 0.9678571447730064,
909
+ "step": 330
910
+ },
911
+ {
912
+ "completion_length": 306.0692878723145,
913
+ "epoch": 0.5179244371436854,
914
+ "grad_norm": 0.4592159227361041,
915
+ "kl": 0.43155517578125,
916
+ "learning_rate": 5.55310535002189e-06,
917
+ "loss": 0.0173,
918
+ "reward": 1.2125000201165677,
919
+ "reward_std": 0.2561903980560601,
920
+ "rewards/accuracy_reward": 0.24892857796512544,
921
+ "rewards/format_reward": 0.9635714307427407,
922
+ "step": 335
923
+ },
924
+ {
925
+ "completion_length": 301.78607177734375,
926
+ "epoch": 0.5256546526234419,
927
+ "grad_norm": 1.3334554805750072,
928
+ "kl": 0.40533447265625,
929
+ "learning_rate": 5.418568824803121e-06,
930
+ "loss": 0.0162,
931
+ "reward": 1.2046428814530372,
932
+ "reward_std": 0.24458126006647946,
933
+ "rewards/accuracy_reward": 0.23857143591158092,
934
+ "rewards/format_reward": 0.966071430593729,
935
+ "step": 340
936
+ },
937
+ {
938
+ "completion_length": 311.9282154083252,
939
+ "epoch": 0.5333848681031984,
940
+ "grad_norm": 0.49010519701579414,
941
+ "kl": 0.47899169921875,
942
+ "learning_rate": 5.2837263654653715e-06,
943
+ "loss": 0.0192,
944
+ "reward": 1.2089285902678966,
945
+ "reward_std": 0.24385176142677664,
946
+ "rewards/accuracy_reward": 0.24214286329224705,
947
+ "rewards/format_reward": 0.96678571626544,
948
+ "step": 345
949
+ },
950
+ {
951
+ "completion_length": 356.58785762786863,
952
+ "epoch": 0.5411150835829549,
953
+ "grad_norm": 0.40401739909507167,
954
+ "kl": 0.297998046875,
955
+ "learning_rate": 5.148676529059604e-06,
956
+ "loss": 0.0119,
957
+ "reward": 1.2339285902678967,
958
+ "reward_std": 0.2254973877221346,
959
+ "rewards/accuracy_reward": 0.25178572128061205,
960
+ "rewards/format_reward": 0.9821428582072258,
961
+ "step": 350
962
+ },
963
+ {
964
+ "completion_length": 401.15607299804685,
965
+ "epoch": 0.5488452990627114,
966
+ "grad_norm": 0.43919579917421436,
967
+ "kl": 0.467236328125,
968
+ "learning_rate": 5.013518024209757e-06,
969
+ "loss": 0.0187,
970
+ "reward": 1.223928590863943,
971
+ "reward_std": 0.25751951709389687,
972
+ "rewards/accuracy_reward": 0.2525000067660585,
973
+ "rewards/format_reward": 0.9714285731315613,
974
+ "step": 355
975
+ },
976
+ {
977
+ "completion_length": 372.611074256897,
978
+ "epoch": 0.5565755145424679,
979
+ "grad_norm": 0.5922777261314072,
980
+ "kl": 0.43697509765625,
981
+ "learning_rate": 4.878349638966098e-06,
982
+ "loss": 0.0175,
983
+ "reward": 1.2207143008708954,
984
+ "reward_std": 0.2579284094274044,
985
+ "rewards/accuracy_reward": 0.25178572118747977,
986
+ "rewards/format_reward": 0.9689285732805729,
987
+ "step": 360
988
+ },
989
+ {
990
+ "completion_length": 351.6828565597534,
991
+ "epoch": 0.5643057300222244,
992
+ "grad_norm": 0.29650599886416334,
993
+ "kl": 0.3662109375,
994
+ "learning_rate": 4.743270168600523e-06,
995
+ "loss": 0.0146,
996
+ "reward": 1.2132143080234528,
997
+ "reward_std": 0.21272512217983602,
998
+ "rewards/accuracy_reward": 0.23607143440749495,
999
+ "rewards/format_reward": 0.9771428585052491,
1000
+ "step": 365
1001
+ },
1002
+ {
1003
+ "completion_length": 352.63428859710694,
1004
+ "epoch": 0.5720359455019809,
1005
+ "grad_norm": 0.2713235178095771,
1006
+ "kl": 0.32996826171875,
1007
+ "learning_rate": 4.608378343396581e-06,
1008
+ "loss": 0.0132,
1009
+ "reward": 1.2214285895228385,
1010
+ "reward_std": 0.2412548642605543,
1011
+ "rewards/accuracy_reward": 0.24821429257281125,
1012
+ "rewards/format_reward": 0.9732142873108387,
1013
+ "step": 370
1014
+ },
1015
+ {
1016
+ "completion_length": 400.2235725402832,
1017
+ "epoch": 0.5797661609817374,
1018
+ "grad_norm": 0.6530373844158506,
1019
+ "kl": 0.534814453125,
1020
+ "learning_rate": 4.47377275648701e-06,
1021
+ "loss": 0.0214,
1022
+ "reward": 1.1946428716182709,
1023
+ "reward_std": 0.2843459703028202,
1024
+ "rewards/accuracy_reward": 0.24785715015605092,
1025
+ "rewards/format_reward": 0.9467857174575329,
1026
+ "step": 375
1027
+ },
1028
+ {
1029
+ "completion_length": 384.1235717773437,
1030
+ "epoch": 0.5874963764614939,
1031
+ "grad_norm": 0.5620739725200156,
1032
+ "kl": 0.433917236328125,
1033
+ "learning_rate": 4.33955179179149e-06,
1034
+ "loss": 0.0174,
1035
+ "reward": 1.1839285880327224,
1036
+ "reward_std": 0.27014439897611736,
1037
+ "rewards/accuracy_reward": 0.2300000066170469,
1038
+ "rewards/format_reward": 0.9539285741746426,
1039
+ "step": 380
1040
+ },
1041
+ {
1042
+ "completion_length": 367.36893062591554,
1043
+ "epoch": 0.5952265919412504,
1044
+ "grad_norm": 0.3417788309196838,
1045
+ "kl": 0.45970458984375,
1046
+ "learning_rate": 4.205813552107337e-06,
1047
+ "loss": 0.0184,
1048
+ "reward": 1.2242857284843922,
1049
+ "reward_std": 0.2591902747750282,
1050
+ "rewards/accuracy_reward": 0.26214286310132595,
1051
+ "rewards/format_reward": 0.9621428593993187,
1052
+ "step": 385
1053
+ },
1054
+ {
1055
+ "completion_length": 344.9664316177368,
1056
+ "epoch": 0.6029568074210069,
1057
+ "grad_norm": 0.383725508536428,
1058
+ "kl": 0.2947509765625,
1059
+ "learning_rate": 4.0726557874056625e-06,
1060
+ "loss": 0.0118,
1061
+ "reward": 1.1982143066823483,
1062
+ "reward_std": 0.21319182245060803,
1063
+ "rewards/accuracy_reward": 0.21928572067990898,
1064
+ "rewards/format_reward": 0.9789285726845265,
1065
+ "step": 390
1066
+ },
1067
+ {
1068
+ "completion_length": 325.8582160949707,
1069
+ "epoch": 0.6106870229007634,
1070
+ "grad_norm": 0.5862839492831149,
1071
+ "kl": 0.36025390625,
1072
+ "learning_rate": 3.940175823385412e-06,
1073
+ "loss": 0.0144,
1074
+ "reward": 1.2221428655087947,
1075
+ "reward_std": 0.24327749805524945,
1076
+ "rewards/accuracy_reward": 0.24928572128992527,
1077
+ "rewards/format_reward": 0.9728571444749832,
1078
+ "step": 395
1079
+ },
1080
+ {
1081
+ "completion_length": 347.8882158279419,
1082
+ "epoch": 0.6184172383805199,
1083
+ "grad_norm": 0.47993598719208436,
1084
+ "kl": 0.2891845703125,
1085
+ "learning_rate": 3.808470490337502e-06,
1086
+ "loss": 0.0116,
1087
+ "reward": 1.2317857250571251,
1088
+ "reward_std": 0.2260462765581906,
1089
+ "rewards/accuracy_reward": 0.2532142927404493,
1090
+ "rewards/format_reward": 0.978571429848671,
1091
+ "step": 400
1092
+ },
1093
+ {
1094
+ "epoch": 0.6184172383805199,
1095
+ "eval_completion_length": 318.71398162841797,
1096
+ "eval_kl": 0.3338623046875,
1097
+ "eval_loss": 0.013500670902431011,
1098
+ "eval_reward": 1.2374999970197678,
1099
+ "eval_reward_std": 0.24992241524159908,
1100
+ "eval_rewards/accuracy_reward": 0.2607142888009548,
1101
+ "eval_rewards/format_reward": 0.976785734295845,
1102
+ "eval_runtime": 77.5724,
1103
+ "eval_samples_per_second": 1.276,
1104
+ "eval_steps_per_second": 0.026,
1105
+ "step": 400
1106
+ },
1107
+ {
1108
+ "completion_length": 340.0689334869385,
1109
+ "epoch": 0.6261474538602764,
1110
+ "grad_norm": 0.5074418639717388,
1111
+ "kl": 0.3012939453125,
1112
+ "learning_rate": 3.677636052371066e-06,
1113
+ "loss": 0.0121,
1114
+ "reward": 1.2257142968475818,
1115
+ "reward_std": 0.23705143565312028,
1116
+ "rewards/accuracy_reward": 0.2507142927730456,
1117
+ "rewards/format_reward": 0.9750000014901161,
1118
+ "step": 405
1119
+ },
1120
+ {
1121
+ "completion_length": 334.34285869598386,
1122
+ "epoch": 0.6338776693400329,
1123
+ "grad_norm": 0.440989596288644,
1124
+ "kl": 0.5120361328125,
1125
+ "learning_rate": 3.547768137053523e-06,
1126
+ "loss": 0.0205,
1127
+ "reward": 1.2110714435577392,
1128
+ "reward_std": 0.24922448974102734,
1129
+ "rewards/accuracy_reward": 0.24642857799772172,
1130
+ "rewards/format_reward": 0.9646428592503071,
1131
+ "step": 410
1132
+ },
1133
+ {
1134
+ "completion_length": 330.91714363098146,
1135
+ "epoch": 0.6416078848197894,
1136
+ "grad_norm": 0.26694024078543577,
1137
+ "kl": 0.28255615234375,
1138
+ "learning_rate": 3.4189616655158803e-06,
1139
+ "loss": 0.0113,
1140
+ "reward": 1.2403571613132953,
1141
+ "reward_std": 0.2156613773666322,
1142
+ "rewards/accuracy_reward": 0.2560714353807271,
1143
+ "rewards/format_reward": 0.9842857152223587,
1144
+ "step": 415
1145
+ },
1146
+ {
1147
+ "completion_length": 373.41714534759524,
1148
+ "epoch": 0.6493381002995459,
1149
+ "grad_norm": 0.32331429774400394,
1150
+ "kl": 0.262451171875,
1151
+ "learning_rate": 3.291310783074405e-06,
1152
+ "loss": 0.0105,
1153
+ "reward": 1.26178572550416,
1154
+ "reward_std": 0.22110692989081143,
1155
+ "rewards/accuracy_reward": 0.2775000070221722,
1156
+ "rewards/format_reward": 0.9842857152223587,
1157
+ "step": 420
1158
+ },
1159
+ {
1160
+ "completion_length": 410.3825017929077,
1161
+ "epoch": 0.6570683157793024,
1162
+ "grad_norm": 0.36969945354312556,
1163
+ "kl": 0.34056396484375,
1164
+ "learning_rate": 3.1649087904193142e-06,
1165
+ "loss": 0.0136,
1166
+ "reward": 1.2367857284843922,
1167
+ "reward_std": 0.2502147083170712,
1168
+ "rewards/accuracy_reward": 0.2603571502259001,
1169
+ "rewards/format_reward": 0.976428572833538,
1170
+ "step": 425
1171
+ },
1172
+ {
1173
+ "completion_length": 401.2521469116211,
1174
+ "epoch": 0.6647985312590589,
1175
+ "grad_norm": 0.6482466478004806,
1176
+ "kl": 0.38873291015625,
1177
+ "learning_rate": 3.039848075420817e-06,
1178
+ "loss": 0.0156,
1179
+ "reward": 1.2332143016159534,
1180
+ "reward_std": 0.2610732516273856,
1181
+ "rewards/accuracy_reward": 0.2721428648335859,
1182
+ "rewards/format_reward": 0.9610714308917523,
1183
+ "step": 430
1184
+ },
1185
+ {
1186
+ "completion_length": 416.10785961151123,
1187
+ "epoch": 0.6725287467388154,
1188
+ "grad_norm": 1.0368723402917392,
1189
+ "kl": 0.44521484375,
1190
+ "learning_rate": 2.916220045602349e-06,
1191
+ "loss": 0.0178,
1192
+ "reward": 1.2125000186264514,
1193
+ "reward_std": 0.2809831270948052,
1194
+ "rewards/accuracy_reward": 0.25500000710599124,
1195
+ "rewards/format_reward": 0.9575000025331974,
1196
+ "step": 435
1197
+ },
1198
+ {
1199
+ "completion_length": 396.11535835266113,
1200
+ "epoch": 0.6802589622185718,
1201
+ "grad_norm": 0.4245630889591221,
1202
+ "kl": 0.42137451171875,
1203
+ "learning_rate": 2.794115061330336e-06,
1204
+ "loss": 0.0169,
1205
+ "reward": 1.2089285865426063,
1206
+ "reward_std": 0.27289886865764856,
1207
+ "rewards/accuracy_reward": 0.25464286408387127,
1208
+ "rewards/format_reward": 0.954285717010498,
1209
+ "step": 440
1210
+ },
1211
+ {
1212
+ "completion_length": 405.51571731567384,
1213
+ "epoch": 0.6879891776983283,
1214
+ "grad_norm": 0.47571162730800487,
1215
+ "kl": 0.45782470703125,
1216
+ "learning_rate": 2.6736223697693387e-06,
1217
+ "loss": 0.0183,
1218
+ "reward": 1.21464286968112,
1219
+ "reward_std": 0.2741479127667844,
1220
+ "rewards/accuracy_reward": 0.2639285788871348,
1221
+ "rewards/format_reward": 0.9507142886519432,
1222
+ "step": 445
1223
+ },
1224
+ {
1225
+ "completion_length": 378.1635715484619,
1226
+ "epoch": 0.6957193931780848,
1227
+ "grad_norm": 0.43896790616629155,
1228
+ "kl": 0.4071044921875,
1229
+ "learning_rate": 2.554830039650834e-06,
1230
+ "loss": 0.0163,
1231
+ "reward": 1.202500019222498,
1232
+ "reward_std": 0.2554827404208481,
1233
+ "rewards/accuracy_reward": 0.24857143468689175,
1234
+ "rewards/format_reward": 0.9539285741746426,
1235
+ "step": 450
1236
+ },
1237
+ {
1238
+ "completion_length": 376.27357387542725,
1239
+ "epoch": 0.7034496086578413,
1240
+ "grad_norm": 0.6375781082839199,
1241
+ "kl": 0.40799560546875,
1242
+ "learning_rate": 2.4378248969033275e-06,
1243
+ "loss": 0.0163,
1244
+ "reward": 1.2100000150501729,
1245
+ "reward_std": 0.2629528701305389,
1246
+ "rewards/accuracy_reward": 0.24857143517583608,
1247
+ "rewards/format_reward": 0.9614285737276077,
1248
+ "step": 455
1249
+ },
1250
+ {
1251
+ "completion_length": 400.56857414245604,
1252
+ "epoch": 0.7111798241375978,
1253
+ "grad_norm": 0.5893322722521851,
1254
+ "kl": 0.46832275390625,
1255
+ "learning_rate": 2.32269246119083e-06,
1256
+ "loss": 0.0187,
1257
+ "reward": 1.1839285910129547,
1258
+ "reward_std": 0.2871158769354224,
1259
+ "rewards/accuracy_reward": 0.24214286401402205,
1260
+ "rewards/format_reward": 0.9417857177555561,
1261
+ "step": 460
1262
+ },
1263
+ {
1264
+ "completion_length": 426.16643199920657,
1265
+ "epoch": 0.7189100396173543,
1266
+ "grad_norm": 0.7285531480050851,
1267
+ "kl": 0.45289306640625,
1268
+ "learning_rate": 2.2095168834060982e-06,
1269
+ "loss": 0.0181,
1270
+ "reward": 1.213928584754467,
1271
+ "reward_std": 0.27019564192742107,
1272
+ "rewards/accuracy_reward": 0.2635714357485995,
1273
+ "rewards/format_reward": 0.9503571458160878,
1274
+ "step": 465
1275
+ },
1276
+ {
1277
+ "completion_length": 426.24428634643556,
1278
+ "epoch": 0.7266402550971108,
1279
+ "grad_norm": 0.3644894126467112,
1280
+ "kl": 0.44105224609375,
1281
+ "learning_rate": 2.0983808841642996e-06,
1282
+ "loss": 0.0176,
1283
+ "reward": 1.227142871916294,
1284
+ "reward_std": 0.2584091882221401,
1285
+ "rewards/accuracy_reward": 0.2635714358650148,
1286
+ "rewards/format_reward": 0.9635714307427407,
1287
+ "step": 470
1288
+ },
1289
+ {
1290
+ "completion_length": 398.2003578186035,
1291
+ "epoch": 0.7343704705768673,
1292
+ "grad_norm": 0.40238625933610955,
1293
+ "kl": 0.339495849609375,
1294
+ "learning_rate": 1.989365693342103e-06,
1295
+ "loss": 0.0136,
1296
+ "reward": 1.2378571562469005,
1297
+ "reward_std": 0.24942016880959272,
1298
+ "rewards/accuracy_reward": 0.2696428646799177,
1299
+ "rewards/format_reward": 0.968214287608862,
1300
+ "step": 475
1301
+ },
1302
+ {
1303
+ "completion_length": 417.70250301361085,
1304
+ "epoch": 0.7421006860566238,
1305
+ "grad_norm": 0.4343672927770361,
1306
+ "kl": 0.293597412109375,
1307
+ "learning_rate": 1.8825509907063328e-06,
1308
+ "loss": 0.0117,
1309
+ "reward": 1.245714296400547,
1310
+ "reward_std": 0.23920459682121872,
1311
+ "rewards/accuracy_reward": 0.2710714365821332,
1312
+ "rewards/format_reward": 0.9746428586542606,
1313
+ "step": 480
1314
+ },
1315
+ {
1316
+ "completion_length": 402.52250442504885,
1317
+ "epoch": 0.7498309015363803,
1318
+ "grad_norm": 0.5328436426470834,
1319
+ "kl": 0.333837890625,
1320
+ "learning_rate": 1.7780148476756148e-06,
1321
+ "loss": 0.0134,
1322
+ "reward": 1.2360714450478554,
1323
+ "reward_std": 0.2392024408094585,
1324
+ "rewards/accuracy_reward": 0.2632142927031964,
1325
+ "rewards/format_reward": 0.9728571444749832,
1326
+ "step": 485
1327
+ },
1328
+ {
1329
+ "completion_length": 418.83428859710693,
1330
+ "epoch": 0.7575611170161368,
1331
+ "grad_norm": 0.3887859392004243,
1332
+ "kl": 0.3875732421875,
1333
+ "learning_rate": 1.6758336702575773e-06,
1334
+ "loss": 0.0155,
1335
+ "reward": 1.2235714450478554,
1336
+ "reward_std": 0.26047459337860346,
1337
+ "rewards/accuracy_reward": 0.25464286440983414,
1338
+ "rewards/format_reward": 0.9689285732805729,
1339
+ "step": 490
1340
+ },
1341
+ {
1342
+ "completion_length": 418.6089317321777,
1343
+ "epoch": 0.7652913324958933,
1344
+ "grad_norm": 0.5048781836979007,
1345
+ "kl": 0.3671630859375,
1346
+ "learning_rate": 1.5760821432032953e-06,
1347
+ "loss": 0.0147,
1348
+ "reward": 1.2132142998278141,
1349
+ "reward_std": 0.24158032452687622,
1350
+ "rewards/accuracy_reward": 0.24642857771832496,
1351
+ "rewards/format_reward": 0.96678571626544,
1352
+ "step": 495
1353
+ },
1354
+ {
1355
+ "completion_length": 401.3010726928711,
1356
+ "epoch": 0.7730215479756498,
1357
+ "grad_norm": 0.4607265236386812,
1358
+ "kl": 0.4398681640625,
1359
+ "learning_rate": 1.4788331754198316e-06,
1360
+ "loss": 0.0176,
1361
+ "reward": 1.2085714474320413,
1362
+ "reward_std": 0.28208895614370705,
1363
+ "rewards/accuracy_reward": 0.2539285784587264,
1364
+ "rewards/format_reward": 0.9546428598463536,
1365
+ "step": 500
1366
+ },
1367
+ {
1368
+ "epoch": 0.7730215479756498,
1369
+ "eval_completion_length": 354.90320205688477,
1370
+ "eval_kl": 0.45703125,
1371
+ "eval_loss": 0.018093252554535866,
1372
+ "eval_reward": 1.226785734295845,
1373
+ "eval_reward_std": 0.26129008270800114,
1374
+ "eval_rewards/accuracy_reward": 0.2696428634226322,
1375
+ "eval_rewards/format_reward": 0.9571428745985031,
1376
+ "eval_runtime": 110.1034,
1377
+ "eval_samples_per_second": 0.899,
1378
+ "eval_steps_per_second": 0.018,
1379
+ "step": 500
1380
+ },
1381
+ {
1382
+ "completion_length": 402.9871459960938,
1383
+ "epoch": 0.7807517634554063,
1384
+ "grad_norm": 0.520985901336068,
1385
+ "kl": 0.4232177734375,
1386
+ "learning_rate": 1.384157846680737e-06,
1387
+ "loss": 0.0169,
1388
+ "reward": 1.2203571587800979,
1389
+ "reward_std": 0.24645365020260215,
1390
+ "rewards/accuracy_reward": 0.2632142924237996,
1391
+ "rewards/format_reward": 0.9571428596973419,
1392
+ "step": 505
1393
+ },
1394
+ {
1395
+ "completion_length": 407.93928661346433,
1396
+ "epoch": 0.7884819789351628,
1397
+ "grad_norm": 0.3805648616018147,
1398
+ "kl": 0.384832763671875,
1399
+ "learning_rate": 1.2921253556734654e-06,
1400
+ "loss": 0.0154,
1401
+ "reward": 1.217857153713703,
1402
+ "reward_std": 0.26537872953340413,
1403
+ "rewards/accuracy_reward": 0.25535714966244993,
1404
+ "rewards/format_reward": 0.9625000022351742,
1405
+ "step": 510
1406
+ },
1407
+ {
1408
+ "completion_length": 388.97393188476565,
1409
+ "epoch": 0.7962121944149193,
1410
+ "grad_norm": 1.1499390375989664,
1411
+ "kl": 0.318841552734375,
1412
+ "learning_rate": 1.202802969421708e-06,
1413
+ "loss": 0.0128,
1414
+ "reward": 1.198214303702116,
1415
+ "reward_std": 0.23692603250965477,
1416
+ "rewards/accuracy_reward": 0.23464286390226335,
1417
+ "rewards/format_reward": 0.9635714307427407,
1418
+ "step": 515
1419
+ },
1420
+ {
1421
+ "completion_length": 383.35643138885496,
1422
+ "epoch": 0.8039424098946758,
1423
+ "grad_norm": 0.4367989993018896,
1424
+ "kl": 0.34908447265625,
1425
+ "learning_rate": 1.1162559741195733e-06,
1426
+ "loss": 0.014,
1427
+ "reward": 1.245357161015272,
1428
+ "reward_std": 0.2558293900452554,
1429
+ "rewards/accuracy_reward": 0.27678572088479997,
1430
+ "rewards/format_reward": 0.9685714304447174,
1431
+ "step": 520
1432
+ },
1433
+ {
1434
+ "completion_length": 385.04857444763184,
1435
+ "epoch": 0.8116726253744323,
1436
+ "grad_norm": 0.6398289536823912,
1437
+ "kl": 0.329840087890625,
1438
+ "learning_rate": 1.0325476274135665e-06,
1439
+ "loss": 0.0132,
1440
+ "reward": 1.2332143023610116,
1441
+ "reward_std": 0.23316460549831391,
1442
+ "rewards/accuracy_reward": 0.2617857217788696,
1443
+ "rewards/format_reward": 0.9714285731315613,
1444
+ "step": 525
1445
+ },
1446
+ {
1447
+ "completion_length": 385.87678928375243,
1448
+ "epoch": 0.8194028408541888,
1449
+ "grad_norm": 0.3695626628673057,
1450
+ "kl": 0.39681396484375,
1451
+ "learning_rate": 9.517391121672537e-07,
1452
+ "loss": 0.0159,
1453
+ "reward": 1.2292857207357883,
1454
+ "reward_std": 0.2500005507841706,
1455
+ "rewards/accuracy_reward": 0.26821429268457,
1456
+ "rewards/format_reward": 0.9610714308917523,
1457
+ "step": 530
1458
+ },
1459
+ {
1460
+ "completion_length": 370.4653594970703,
1461
+ "epoch": 0.8271330563339453,
1462
+ "grad_norm": 0.6854915615610104,
1463
+ "kl": 0.38438720703125,
1464
+ "learning_rate": 8.738894917423918e-07,
1465
+ "loss": 0.0154,
1466
+ "reward": 1.2175000138580798,
1467
+ "reward_std": 0.24949982650578023,
1468
+ "rewards/accuracy_reward": 0.2521428640931845,
1469
+ "rewards/format_reward": 0.9653571449220181,
1470
+ "step": 535
1471
+ },
1472
+ {
1473
+ "completion_length": 373.39250297546386,
1474
+ "epoch": 0.8348632718137018,
1475
+ "grad_norm": 0.3428641792816048,
1476
+ "kl": 0.3291259765625,
1477
+ "learning_rate": 7.990556668292021e-07,
1478
+ "loss": 0.0132,
1479
+ "reward": 1.2228571593761444,
1480
+ "reward_std": 0.2329377906396985,
1481
+ "rewards/accuracy_reward": 0.2507142930058762,
1482
+ "rewards/format_reward": 0.9721428588032722,
1483
+ "step": 540
1484
+ },
1485
+ {
1486
+ "completion_length": 390.6789312362671,
1487
+ "epoch": 0.8425934872934583,
1488
+ "grad_norm": 0.8781910108571961,
1489
+ "kl": 0.3635009765625,
1490
+ "learning_rate": 7.272923338573723e-07,
1491
+ "loss": 0.0145,
1492
+ "reward": 1.2246428735554218,
1493
+ "reward_std": 0.24744346737861633,
1494
+ "rewards/accuracy_reward": 0.2567857220768929,
1495
+ "rewards/format_reward": 0.9678571447730064,
1496
+ "step": 545
1497
+ },
1498
+ {
1499
+ "completion_length": 386.65393047332765,
1500
+ "epoch": 0.8503237027732148,
1501
+ "grad_norm": 0.374646921874402,
1502
+ "kl": 0.305267333984375,
1503
+ "learning_rate": 6.586519450181488e-07,
1504
+ "loss": 0.0122,
1505
+ "reward": 1.242500015348196,
1506
+ "reward_std": 0.24353330470621587,
1507
+ "rewards/accuracy_reward": 0.26964286335278304,
1508
+ "rewards/format_reward": 0.9728571444749832,
1509
+ "step": 550
1510
+ },
1511
+ {
1512
+ "completion_length": 384.5810733795166,
1513
+ "epoch": 0.8580539182529713,
1514
+ "grad_norm": 0.5549528232027495,
1515
+ "kl": 0.312255859375,
1516
+ "learning_rate": 5.931846699267558e-07,
1517
+ "loss": 0.0125,
1518
+ "reward": 1.247857154905796,
1519
+ "reward_std": 0.25878492267802355,
1520
+ "rewards/accuracy_reward": 0.2767857232829556,
1521
+ "rewards/format_reward": 0.9710714302957058,
1522
+ "step": 555
1523
+ },
1524
+ {
1525
+ "completion_length": 386.3992879867554,
1526
+ "epoch": 0.8657841337327278,
1527
+ "grad_norm": 0.4278411326159335,
1528
+ "kl": 0.34853515625,
1529
+ "learning_rate": 5.309383589531708e-07,
1530
+ "loss": 0.0139,
1531
+ "reward": 1.2271428763866425,
1532
+ "reward_std": 0.23170938733965157,
1533
+ "rewards/accuracy_reward": 0.2575000062817708,
1534
+ "rewards/format_reward": 0.9696428589522839,
1535
+ "step": 560
1536
+ },
1537
+ {
1538
+ "completion_length": 391.38536109924314,
1539
+ "epoch": 0.8735143492124843,
1540
+ "grad_norm": 0.4003970163311169,
1541
+ "kl": 0.37874755859375,
1542
+ "learning_rate": 4.7195850824803823e-07,
1543
+ "loss": 0.0152,
1544
+ "reward": 1.2192857332527638,
1545
+ "reward_std": 0.25189957171678545,
1546
+ "rewards/accuracy_reward": 0.2528571498580277,
1547
+ "rewards/format_reward": 0.9664285734295845,
1548
+ "step": 565
1549
+ },
1550
+ {
1551
+ "completion_length": 384.1317882537842,
1552
+ "epoch": 0.8812445646922408,
1553
+ "grad_norm": 0.4111180386794067,
1554
+ "kl": 0.358599853515625,
1555
+ "learning_rate": 4.1628822648929255e-07,
1556
+ "loss": 0.0143,
1557
+ "reward": 1.2210714399814606,
1558
+ "reward_std": 0.24504473190754653,
1559
+ "rewards/accuracy_reward": 0.25392857876140623,
1560
+ "rewards/format_reward": 0.9671428591012955,
1561
+ "step": 570
1562
+ },
1563
+ {
1564
+ "completion_length": 400.0792875289917,
1565
+ "epoch": 0.8889747801719973,
1566
+ "grad_norm": 0.44019676078400016,
1567
+ "kl": 0.317877197265625,
1568
+ "learning_rate": 3.6396820337381236e-07,
1569
+ "loss": 0.0127,
1570
+ "reward": 1.2107143074274063,
1571
+ "reward_std": 0.23559978352859617,
1572
+ "rewards/accuracy_reward": 0.24178572117816657,
1573
+ "rewards/format_reward": 0.9689285732805729,
1574
+ "step": 575
1575
+ },
1576
+ {
1577
+ "completion_length": 391.342502784729,
1578
+ "epoch": 0.8967049956517538,
1579
+ "grad_norm": 0.46727020273244035,
1580
+ "kl": 0.312957763671875,
1581
+ "learning_rate": 3.150366798771043e-07,
1582
+ "loss": 0.0125,
1583
+ "reward": 1.2439285896718502,
1584
+ "reward_std": 0.2462494120001793,
1585
+ "rewards/accuracy_reward": 0.2714285790920258,
1586
+ "rewards/format_reward": 0.9725000016391278,
1587
+ "step": 580
1588
+ },
1589
+ {
1590
+ "completion_length": 372.30536060333253,
1591
+ "epoch": 0.9044352111315103,
1592
+ "grad_norm": 0.5209042194427927,
1593
+ "kl": 0.319873046875,
1594
+ "learning_rate": 2.6952942030277486e-07,
1595
+ "loss": 0.0128,
1596
+ "reward": 1.2671428687870503,
1597
+ "reward_std": 0.26302206302061676,
1598
+ "rewards/accuracy_reward": 0.2996428650803864,
1599
+ "rewards/format_reward": 0.9675000019371509,
1600
+ "step": 585
1601
+ },
1602
+ {
1603
+ "completion_length": 394.72285861968993,
1604
+ "epoch": 0.9121654266112668,
1605
+ "grad_norm": 0.4137939679586483,
1606
+ "kl": 0.33170166015625,
1607
+ "learning_rate": 2.274796861422246e-07,
1608
+ "loss": 0.0133,
1609
+ "reward": 1.2225000075995922,
1610
+ "reward_std": 0.24834517342969775,
1611
+ "rewards/accuracy_reward": 0.25821429330389944,
1612
+ "rewards/format_reward": 0.9642857164144516,
1613
+ "step": 590
1614
+ },
1615
+ {
1616
+ "completion_length": 402.35428485870364,
1617
+ "epoch": 0.9198956420910233,
1618
+ "grad_norm": 0.412787643650894,
1619
+ "kl": 0.37198486328125,
1620
+ "learning_rate": 1.88918211763639e-07,
1621
+ "loss": 0.0149,
1622
+ "reward": 1.2421428732573987,
1623
+ "reward_std": 0.2519141098484397,
1624
+ "rewards/accuracy_reward": 0.2735714362002909,
1625
+ "rewards/format_reward": 0.9685714304447174,
1626
+ "step": 595
1627
+ },
1628
+ {
1629
+ "completion_length": 381.8421464920044,
1630
+ "epoch": 0.9276258575707798,
1631
+ "grad_norm": 0.4865523678871763,
1632
+ "kl": 0.323974609375,
1633
+ "learning_rate": 1.5387318194809098e-07,
1634
+ "loss": 0.013,
1635
+ "reward": 1.2353571593761443,
1636
+ "reward_std": 0.22969860946759582,
1637
+ "rewards/accuracy_reward": 0.2639285792130977,
1638
+ "rewards/format_reward": 0.9714285731315613,
1639
+ "step": 600
1640
+ },
1641
+ {
1642
+ "epoch": 0.9276258575707798,
1643
+ "eval_completion_length": 353.1224174499512,
1644
+ "eval_kl": 0.30078125,
1645
+ "eval_loss": 0.011807209812104702,
1646
+ "eval_reward": 1.2553571313619614,
1647
+ "eval_reward_std": 0.22612838447093964,
1648
+ "eval_rewards/accuracy_reward": 0.2821428645402193,
1649
+ "eval_rewards/format_reward": 0.973214291036129,
1650
+ "eval_runtime": 111.1459,
1651
+ "eval_samples_per_second": 0.891,
1652
+ "eval_steps_per_second": 0.018,
1653
+ "step": 600
1654
+ },
1655
+ {
1656
+ "completion_length": 404.2853603363037,
1657
+ "epoch": 0.9353560730505363,
1658
+ "grad_norm": 0.5171782261479181,
1659
+ "kl": 0.34097900390625,
1660
+ "learning_rate": 1.223702112891345e-07,
1661
+ "loss": 0.0136,
1662
+ "reward": 1.2089285850524902,
1663
+ "reward_std": 0.24284306410700082,
1664
+ "rewards/accuracy_reward": 0.2428571501513943,
1665
+ "rewards/format_reward": 0.966071430593729,
1666
+ "step": 605
1667
+ },
1668
+ {
1669
+ "completion_length": 397.3825029373169,
1670
+ "epoch": 0.9430862885302927,
1671
+ "grad_norm": 0.7320475164079379,
1672
+ "kl": 0.3185546875,
1673
+ "learning_rate": 9.443232547096448e-08,
1674
+ "loss": 0.0127,
1675
+ "reward": 1.256428588926792,
1676
+ "reward_std": 0.26404928769916297,
1677
+ "rewards/accuracy_reward": 0.2846428649034351,
1678
+ "rewards/format_reward": 0.9717857159674168,
1679
+ "step": 610
1680
+ },
1681
+ {
1682
+ "completion_length": 407.19285888671874,
1683
+ "epoch": 0.9508165040100492,
1684
+ "grad_norm": 1.2171362297470418,
1685
+ "kl": 0.36600341796875,
1686
+ "learning_rate": 7.007994443882616e-08,
1687
+ "loss": 0.0146,
1688
+ "reward": 1.210714304447174,
1689
+ "reward_std": 0.26716623855754734,
1690
+ "rewards/accuracy_reward": 0.24892857847735286,
1691
+ "rewards/format_reward": 0.9617857165634632,
1692
+ "step": 615
1693
+ },
1694
+ {
1695
+ "completion_length": 395.53178749084475,
1696
+ "epoch": 0.9585467194898057,
1697
+ "grad_norm": 0.36444035142958237,
1698
+ "kl": 0.3221923828125,
1699
+ "learning_rate": 4.933086747397231e-08,
1700
+ "loss": 0.0129,
1701
+ "reward": 1.2253571592271328,
1702
+ "reward_std": 0.23916244860738517,
1703
+ "rewards/accuracy_reward": 0.2553571488009766,
1704
+ "rewards/format_reward": 0.9700000017881394,
1705
+ "step": 620
1706
+ },
1707
+ {
1708
+ "completion_length": 393.6335744857788,
1709
+ "epoch": 0.9662769349695622,
1710
+ "grad_norm": 0.3989424097774144,
1711
+ "kl": 0.3381103515625,
1712
+ "learning_rate": 3.220026018407541e-08,
1713
+ "loss": 0.0135,
1714
+ "reward": 1.2310714446008206,
1715
+ "reward_std": 0.23451657630503178,
1716
+ "rewards/accuracy_reward": 0.2621428639627993,
1717
+ "rewards/format_reward": 0.9689285732805729,
1718
+ "step": 625
1719
+ },
1720
+ {
1721
+ "completion_length": 396.7300016403198,
1722
+ "epoch": 0.9740071504493187,
1723
+ "grad_norm": 0.7711804308584844,
1724
+ "kl": 0.33509521484375,
1725
+ "learning_rate": 1.8700643418607112e-08,
1726
+ "loss": 0.0134,
1727
+ "reward": 1.250000011920929,
1728
+ "reward_std": 0.26608177088201046,
1729
+ "rewards/accuracy_reward": 0.2835714362096041,
1730
+ "rewards/format_reward": 0.9664285734295845,
1731
+ "step": 630
1732
+ },
1733
+ {
1734
+ "completion_length": 392.350359916687,
1735
+ "epoch": 0.9817373659290752,
1736
+ "grad_norm": 0.42013697611704715,
1737
+ "kl": 0.327276611328125,
1738
+ "learning_rate": 8.841884117284372e-09,
1739
+ "loss": 0.0131,
1740
+ "reward": 1.241785728931427,
1741
+ "reward_std": 0.24906472209841013,
1742
+ "rewards/accuracy_reward": 0.270714293140918,
1743
+ "rewards/format_reward": 0.9710714302957058,
1744
+ "step": 635
1745
+ },
1746
+ {
1747
+ "completion_length": 379.29678897857667,
1748
+ "epoch": 0.9894675814088317,
1749
+ "grad_norm": 0.39572354868452714,
1750
+ "kl": 0.298919677734375,
1751
+ "learning_rate": 2.6311880982721195e-09,
1752
+ "loss": 0.012,
1753
+ "reward": 1.248571439087391,
1754
+ "reward_std": 0.25294895516708493,
1755
+ "rewards/accuracy_reward": 0.2753571497276425,
1756
+ "rewards/format_reward": 0.9732142873108387,
1757
+ "step": 640
1758
+ },
1759
+ {
1760
+ "completion_length": 391.0450023651123,
1761
+ "epoch": 0.9971977968885882,
1762
+ "grad_norm": 0.4471955331682869,
1763
+ "kl": 0.334100341796875,
1764
+ "learning_rate": 7.30947914140412e-11,
1765
+ "loss": 0.0134,
1766
+ "reward": 1.2375000178813935,
1767
+ "reward_std": 0.24879253581166266,
1768
+ "rewards/accuracy_reward": 0.26464286535046994,
1769
+ "rewards/format_reward": 0.9728571444749832,
1770
+ "step": 645
1771
+ },
1772
+ {
1773
+ "completion_length": 370.5642910003662,
1774
+ "epoch": 0.9987438399845395,
1775
+ "kl": 0.784271240234375,
1776
+ "reward": 1.2250000201165676,
1777
+ "reward_std": 0.259319587610662,
1778
+ "rewards/accuracy_reward": 0.25714286393485963,
1779
+ "rewards/format_reward": 0.9678571447730064,
1780
+ "step": 646,
1781
+ "total_flos": 0.0,
1782
+ "train_loss": 0.01271514138510042,
1783
+ "train_runtime": 147461.7668,
1784
+ "train_samples_per_second": 0.491,
1785
+ "train_steps_per_second": 0.004
1786
+ }
1787
+ ],
1788
+ "logging_steps": 5,
1789
+ "max_steps": 646,
1790
+ "num_input_tokens_seen": 0,
1791
+ "num_train_epochs": 1,
1792
+ "save_steps": 500,
1793
+ "stateful_callbacks": {
1794
+ "TrainerControl": {
1795
+ "args": {
1796
+ "should_epoch_stop": false,
1797
+ "should_evaluate": false,
1798
+ "should_log": false,
1799
+ "should_save": false,
1800
+ "should_training_stop": false
1801
+ },
1802
+ "attributes": {}
1803
+ }
1804
+ },
1805
+ "total_flos": 0.0,
1806
+ "train_batch_size": 5,
1807
+ "trial_name": null,
1808
+ "trial_params": null
1809
+ }
training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:bcb5bdda4f17eb1fd0d6349eced4d9ec471f751107ad5bf83f361ddac1e00393
3
+ size 7544