andrewsiah commited on
Commit
9747d99
·
verified ·
1 Parent(s): 207894c

Model save

Browse files
README.md CHANGED
@@ -1,11 +1,9 @@
1
  ---
2
  base_model: Qwen/Qwen2.5-Math-7B
3
- datasets: DigitalLearningGmbH/MATH-lighteval
4
  library_name: transformers
5
  model_name: Qwen-2.5-7B-Simple-RL
6
  tags:
7
  - generated_from_trainer
8
- - open-r1
9
  - trl
10
  - grpo
11
  licence: license
@@ -13,7 +11,7 @@ licence: license
13
 
14
  # Model Card for Qwen-2.5-7B-Simple-RL
15
 
16
- This model is a fine-tuned version of [Qwen/Qwen2.5-Math-7B](https://huggingface.co/Qwen/Qwen2.5-Math-7B) on the [DigitalLearningGmbH/MATH-lighteval](https://huggingface.co/datasets/DigitalLearningGmbH/MATH-lighteval) dataset.
17
  It has been trained using [TRL](https://github.com/huggingface/trl).
18
 
19
  ## Quick start
@@ -29,7 +27,7 @@ print(output["generated_text"])
29
 
30
  ## Training procedure
31
 
32
- [<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/hong-exploration/openr1/runs/2tj07458)
33
 
34
 
35
  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).
 
1
  ---
2
  base_model: Qwen/Qwen2.5-Math-7B
 
3
  library_name: transformers
4
  model_name: Qwen-2.5-7B-Simple-RL
5
  tags:
6
  - generated_from_trainer
 
7
  - trl
8
  - grpo
9
  licence: license
 
11
 
12
  # Model Card for Qwen-2.5-7B-Simple-RL
13
 
14
+ This model is a fine-tuned version of [Qwen/Qwen2.5-Math-7B](https://huggingface.co/Qwen/Qwen2.5-Math-7B).
15
  It has been trained using [TRL](https://github.com/huggingface/trl).
16
 
17
  ## Quick start
 
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/hong-exploration/openr1/runs/mnu2rqhe)
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).
all_results.json CHANGED
@@ -5,9 +5,9 @@
5
  "eval_samples_per_second": 1.117,
6
  "eval_steps_per_second": 0.01,
7
  "total_flos": 0.0,
8
- "train_loss": -0.0005580486591372454,
9
- "train_runtime": 7733.0464,
10
  "train_samples": 7500,
11
- "train_samples_per_second": 0.97,
12
- "train_steps_per_second": 0.008
13
  }
 
5
  "eval_samples_per_second": 1.117,
6
  "eval_steps_per_second": 0.01,
7
  "total_flos": 0.0,
8
+ "train_loss": 0.0002975721653738533,
9
+ "train_runtime": 28855.0053,
10
  "train_samples": 7500,
11
+ "train_samples_per_second": 0.52,
12
+ "train_steps_per_second": 0.004
13
  }
config.json CHANGED
@@ -23,7 +23,7 @@
23
  "tie_word_embeddings": false,
24
  "torch_dtype": "bfloat16",
25
  "transformers_version": "4.49.0.dev0",
26
- "use_cache": true,
27
  "use_mrope": false,
28
  "use_sliding_window": false,
29
  "vocab_size": 152064
 
23
  "tie_word_embeddings": false,
24
  "torch_dtype": "bfloat16",
25
  "transformers_version": "4.49.0.dev0",
26
+ "use_cache": false,
27
  "use_mrope": false,
28
  "use_sliding_window": false,
29
  "vocab_size": 152064
model-00001-of-00004.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:1c3a3b603b09af6380841e71c4bbeb6367b3b73a1eb8e48aea432e5ed7481080
3
  size 4877660776
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:4fc7728d28ab847ff26d84462b68f9201534dbddb4212a0263658ee3cefa3e4b
3
  size 4877660776
model-00002-of-00004.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:4fe5a8a76534589e305b7244c8016fb5e8e62c927910f9236c4464c20f35a0db
3
  size 4932751008
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:64b2889819fdb5d36993f5a0c687d47c8c6c2ca9b8437ba4473a48fa6e15dfbc
3
  size 4932751008
model-00003-of-00004.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:16fd3464bfdc897ecdd1b21bc00b473536a2a9220f09d2e9440755017ff81249
3
  size 4330865200
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:84a3b102839dbbd28190c1d11454ea4380585e5b392932874f121b03667976fc
3
  size 4330865200
model-00004-of-00004.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:62506b8566435edc32e43185c883eb83ca78188bfc138d8d299b046a821354f2
3
  size 1089994880
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:97fa496342775957a94a7bd44fde2f410a4f3ad2c7e414ec1b949867850cf9be
3
  size 1089994880
train_results.json CHANGED
@@ -1,8 +1,8 @@
1
  {
2
  "total_flos": 0.0,
3
- "train_loss": -0.0005580486591372454,
4
- "train_runtime": 7733.0464,
5
  "train_samples": 7500,
6
- "train_samples_per_second": 0.97,
7
- "train_steps_per_second": 0.008
8
  }
 
1
  {
2
  "total_flos": 0.0,
3
+ "train_loss": 0.0002975721653738533,
4
+ "train_runtime": 28855.0053,
5
  "train_samples": 7500,
6
+ "train_samples_per_second": 0.52,
7
+ "train_steps_per_second": 0.004
8
  }
trainer_state.json CHANGED
@@ -1,176 +1,374 @@
1
  {
2
  "best_metric": null,
3
  "best_model_checkpoint": null,
4
- "epoch": 0.9893390191897654,
5
- "eval_steps": 100,
6
- "global_step": 58,
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": 621.0189994812011,
 
 
 
 
 
 
 
 
 
 
 
 
 
 
13
  "epoch": 0.08528784648187633,
14
- "grad_norm": 1.747524380683899,
15
- "kl": 0.00022215843200683593,
16
- "learning_rate": 2.5e-06,
17
  "loss": 0.0,
18
- "reward": 0.614508954435587,
19
- "reward_std": 0.34517091177403925,
20
- "rewards/accuracy_reward": 0.6138393096625805,
21
- "rewards/format_reward": 0.0006696428870782256,
22
  "step": 5
23
  },
24
  {
25
- "completion_length": 628.56743850708,
26
  "epoch": 0.17057569296375266,
27
- "grad_norm": 0.463044136762619,
28
- "kl": 0.003224754333496094,
29
- "learning_rate": 2.956412726139078e-06,
30
  "loss": 0.0001,
31
- "reward": 0.6892857477068901,
32
- "reward_std": 0.28228127732872965,
33
- "rewards/accuracy_reward": 0.6892857477068901,
34
- "rewards/format_reward": 0.0,
35
  "step": 10
36
  },
37
  {
38
- "completion_length": 629.7674423217774,
39
  "epoch": 0.255863539445629,
40
- "grad_norm": 0.13988655805587769,
41
- "kl": 0.0027944564819335936,
42
- "learning_rate": 2.7836719084521715e-06,
43
- "loss": 0.0001,
44
- "reward": 0.7198661088943481,
45
- "reward_std": 0.2151865204796195,
46
- "rewards/accuracy_reward": 0.7198661088943481,
47
  "rewards/format_reward": 0.0,
48
  "step": 15
49
  },
50
  {
51
- "completion_length": 588.3330619812011,
52
  "epoch": 0.3411513859275053,
53
- "grad_norm": 0.11190886050462723,
54
- "kl": 0.0031805038452148438,
55
- "learning_rate": 2.4946839873611927e-06,
56
- "loss": 0.0001,
57
- "reward": 0.7776786029338837,
58
- "reward_std": 0.19100845558568835,
59
- "rewards/accuracy_reward": 0.7774553894996643,
60
- "rewards/format_reward": 0.00022321429569274187,
61
  "step": 20
62
  },
63
  {
64
- "completion_length": 604.8185546875,
65
  "epoch": 0.42643923240938164,
66
- "grad_norm": 0.23962590098381042,
67
- "kl": 0.003417205810546875,
68
- "learning_rate": 2.1156192081791355e-06,
69
- "loss": 0.0001,
70
- "reward": 0.7651786044239998,
71
- "reward_std": 0.190818705689162,
72
- "rewards/accuracy_reward": 0.7651786044239998,
73
  "rewards/format_reward": 0.0,
74
  "step": 25
75
  },
76
  {
77
- "completion_length": 608.9339538574219,
78
  "epoch": 0.511727078891258,
79
- "grad_norm": 0.18276575207710266,
80
- "kl": 0.0049468994140625,
81
- "learning_rate": 1.6808050203829845e-06,
82
  "loss": 0.0002,
83
- "reward": 0.7654018238186836,
84
- "reward_std": 0.18531882837414743,
85
- "rewards/accuracy_reward": 0.7654018238186836,
86
  "rewards/format_reward": 0.0,
87
  "step": 30
88
  },
89
  {
90
- "completion_length": 602.1547149658203,
91
  "epoch": 0.5970149253731343,
92
- "grad_norm": 0.20332862436771393,
93
- "kl": 0.005048370361328125,
94
- "learning_rate": 1.2296174432791415e-06,
95
  "loss": 0.0002,
96
- "reward": 0.7700893253087997,
97
- "reward_std": 0.19738825485110284,
98
- "rewards/accuracy_reward": 0.7700893253087997,
99
  "rewards/format_reward": 0.0,
100
  "step": 35
101
  },
102
  {
103
- "completion_length": 595.8953392028809,
 
 
 
 
 
 
 
 
 
 
 
 
 
 
104
  "epoch": 0.6823027718550106,
105
- "grad_norm": 0.16811978816986084,
106
- "kl": 0.003607177734375,
107
- "learning_rate": 8.029152419343472e-07,
108
- "loss": 0.0001,
109
- "reward": 0.7645089626312256,
110
- "reward_std": 0.17381814373657106,
111
- "rewards/accuracy_reward": 0.7645089626312256,
112
  "rewards/format_reward": 0.0,
113
  "step": 40
114
  },
115
  {
116
- "completion_length": 589.4821655273438,
117
  "epoch": 0.767590618336887,
118
- "grad_norm": 0.10356087237596512,
119
- "kl": 0.003725433349609375,
120
- "learning_rate": 4.3933982822017883e-07,
121
- "loss": 0.0001,
122
- "reward": 0.7756696790456772,
123
- "reward_std": 0.18397480640560387,
124
- "rewards/accuracy_reward": 0.7756696790456772,
125
  "rewards/format_reward": 0.0,
126
  "step": 45
127
  },
128
  {
129
- "completion_length": 593.6323921203614,
130
  "epoch": 0.8528784648187633,
131
- "grad_norm": 0.21458302438259125,
132
- "kl": 0.003731536865234375,
133
- "learning_rate": 1.718159615201853e-07,
134
- "loss": 0.0001,
135
- "reward": 0.7703125327825546,
136
- "reward_std": 0.17003230415284634,
137
- "rewards/accuracy_reward": 0.7703125327825546,
138
  "rewards/format_reward": 0.0,
139
  "step": 50
140
  },
141
  {
142
- "completion_length": 600.3533706665039,
143
  "epoch": 0.9381663113006397,
144
- "grad_norm": 0.1505906730890274,
145
- "kl": 0.003759002685546875,
146
- "learning_rate": 2.4570139579284723e-08,
147
- "loss": 0.0002,
148
- "reward": 0.781026816368103,
149
- "reward_std": 0.20167170464992523,
150
- "rewards/accuracy_reward": 0.781026816368103,
151
  "rewards/format_reward": 0.0,
152
  "step": 55
153
  },
154
  {
155
- "completion_length": 575.5026321411133,
156
- "epoch": 0.9893390191897654,
157
- "kl": 0.0039323170979817705,
158
- "reward": 0.7875744427243868,
159
- "reward_std": 0.15916253595302501,
160
- "rewards/accuracy_reward": 0.7875744427243868,
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
161
  "rewards/format_reward": 0.0,
162
- "step": 58,
163
  "total_flos": 0.0,
164
- "train_loss": -0.0005580486591372454,
165
- "train_runtime": 7733.0464,
166
- "train_samples_per_second": 0.97,
167
- "train_steps_per_second": 0.008
168
  }
169
  ],
170
  "logging_steps": 5,
171
- "max_steps": 58,
172
  "num_input_tokens_seen": 0,
173
- "num_train_epochs": 1,
174
  "save_steps": 500,
175
  "stateful_callbacks": {
176
  "TrainerControl": {
 
1
  {
2
  "best_metric": null,
3
  "best_model_checkpoint": null,
4
+ "epoch": 1.9893390191897655,
5
+ "eval_steps": 39,
6
+ "global_step": 116,
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,
13
+ "eval_completion_length": 580.933360529403,
14
+ "eval_kl": 0.0,
15
+ "eval_loss": 1.623958087293431e-05,
16
+ "eval_reward": 0.5275844605966878,
17
+ "eval_reward_std": 0.35651993932434545,
18
+ "eval_rewards/accuracy_reward": 0.5264149032080897,
19
+ "eval_rewards/format_reward": 0.0011695573350396782,
20
+ "eval_runtime": 4528.6778,
21
+ "eval_samples_per_second": 1.104,
22
+ "eval_steps_per_second": 0.01,
23
+ "step": 0
24
+ },
25
+ {
26
+ "completion_length": 604.259627532959,
27
  "epoch": 0.08528784648187633,
28
+ "grad_norm": 1.9525558948516846,
29
+ "kl": 0.00012731552124023438,
30
+ "learning_rate": 1.25e-06,
31
  "loss": 0.0,
32
+ "reward": 0.6582589574158192,
33
+ "reward_std": 0.3278909016400576,
34
+ "rewards/accuracy_reward": 0.6573660992085933,
35
+ "rewards/format_reward": 0.0008928571827709675,
36
  "step": 5
37
  },
38
  {
39
+ "completion_length": 616.6596267700195,
40
  "epoch": 0.17057569296375266,
41
+ "grad_norm": 1.6776472330093384,
42
+ "kl": 0.0016300678253173828,
43
+ "learning_rate": 2.5e-06,
44
  "loss": 0.0001,
45
+ "reward": 0.6910714641213417,
46
+ "reward_std": 0.3150623720139265,
47
+ "rewards/accuracy_reward": 0.6908482506871223,
48
+ "rewards/format_reward": 0.00022321429569274187,
49
  "step": 10
50
  },
51
  {
52
+ "completion_length": 640.9160995483398,
53
  "epoch": 0.255863539445629,
54
+ "grad_norm": 0.13862861692905426,
55
+ "kl": 0.004425430297851562,
56
+ "learning_rate": 2.9938448364256362e-06,
57
+ "loss": 0.0002,
58
+ "reward": 0.7236607506871223,
59
+ "reward_std": 0.26740851644426583,
60
+ "rewards/accuracy_reward": 0.7236607506871223,
61
  "rewards/format_reward": 0.0,
62
  "step": 15
63
  },
64
  {
65
+ "completion_length": 631.7879745483399,
66
  "epoch": 0.3411513859275053,
67
+ "grad_norm": 0.13688388466835022,
68
+ "kl": 0.007097053527832031,
69
+ "learning_rate": 2.956412726139078e-06,
70
+ "loss": 0.0003,
71
+ "reward": 0.7348214671015739,
72
+ "reward_std": 0.22995020002126693,
73
+ "rewards/accuracy_reward": 0.7348214671015739,
74
+ "rewards/format_reward": 0.0,
75
  "step": 20
76
  },
77
  {
78
+ "completion_length": 619.988638305664,
79
  "epoch": 0.42643923240938164,
80
+ "grad_norm": 0.8423397541046143,
81
+ "kl": 0.004146957397460937,
82
+ "learning_rate": 2.88581929876693e-06,
83
+ "loss": 0.0002,
84
+ "reward": 0.7430803924798965,
85
+ "reward_std": 0.22932490669190883,
86
+ "rewards/accuracy_reward": 0.7430803924798965,
87
  "rewards/format_reward": 0.0,
88
  "step": 25
89
  },
90
  {
91
+ "completion_length": 606.4966804504395,
92
  "epoch": 0.511727078891258,
93
+ "grad_norm": 0.11532779783010483,
94
+ "kl": 0.00457305908203125,
95
+ "learning_rate": 2.7836719084521715e-06,
96
  "loss": 0.0002,
97
+ "reward": 0.752455385029316,
98
+ "reward_std": 0.206120328605175,
99
+ "rewards/accuracy_reward": 0.752455385029316,
100
  "rewards/format_reward": 0.0,
101
  "step": 30
102
  },
103
  {
104
+ "completion_length": 589.5859703063965,
105
  "epoch": 0.5970149253731343,
106
+ "grad_norm": 0.10156127065420151,
107
+ "kl": 0.004618453979492188,
108
+ "learning_rate": 2.652296367060421e-06,
109
  "loss": 0.0002,
110
+ "reward": 0.783928607404232,
111
+ "reward_std": 0.19030314590781927,
112
+ "rewards/accuracy_reward": 0.783928607404232,
113
  "rewards/format_reward": 0.0,
114
  "step": 35
115
  },
116
  {
117
+ "epoch": 0.6652452025586354,
118
+ "eval_completion_length": 582.3961823836617,
119
+ "eval_kl": 0.005152472896852355,
120
+ "eval_loss": 0.00021490754443220794,
121
+ "eval_reward": 0.6949793272260306,
122
+ "eval_reward_std": 0.20541082589306695,
123
+ "eval_rewards/accuracy_reward": 0.6949793272260306,
124
+ "eval_rewards/format_reward": 0.0,
125
+ "eval_runtime": 4509.8983,
126
+ "eval_samples_per_second": 1.109,
127
+ "eval_steps_per_second": 0.01,
128
+ "step": 39
129
+ },
130
+ {
131
+ "completion_length": 591.9185485839844,
132
  "epoch": 0.6823027718550106,
133
+ "grad_norm": 0.12734617292881012,
134
+ "kl": 0.005767822265625,
135
+ "learning_rate": 2.4946839873611927e-06,
136
+ "loss": 0.0002,
137
+ "reward": 0.7678571790456772,
138
+ "reward_std": 0.2127251597121358,
139
+ "rewards/accuracy_reward": 0.7678571790456772,
140
  "rewards/format_reward": 0.0,
141
  "step": 40
142
  },
143
  {
144
+ "completion_length": 592.6504753112793,
145
  "epoch": 0.767590618336887,
146
+ "grad_norm": 0.08878223598003387,
147
+ "kl": 0.00388336181640625,
148
+ "learning_rate": 2.314423473302218e-06,
149
+ "loss": 0.0002,
150
+ "reward": 0.7566964656114579,
151
+ "reward_std": 0.1911870390176773,
152
+ "rewards/accuracy_reward": 0.7566964656114579,
153
  "rewards/format_reward": 0.0,
154
  "step": 45
155
  },
156
  {
157
+ "completion_length": 579.0308303833008,
158
  "epoch": 0.8528784648187633,
159
+ "grad_norm": 0.10042494535446167,
160
+ "kl": 0.006903076171875,
161
+ "learning_rate": 2.1156192081791355e-06,
162
+ "loss": 0.0003,
163
+ "reward": 0.7850446835160255,
164
+ "reward_std": 0.17857401072978973,
165
+ "rewards/accuracy_reward": 0.7850446835160255,
166
  "rewards/format_reward": 0.0,
167
  "step": 50
168
  },
169
  {
170
+ "completion_length": 574.0143119812012,
171
  "epoch": 0.9381663113006397,
172
+ "grad_norm": 0.10724026709794998,
173
+ "kl": 0.00340118408203125,
174
+ "learning_rate": 1.9027978012115653e-06,
175
+ "loss": 0.0001,
176
+ "reward": 0.7665178909897804,
177
+ "reward_std": 0.16513762380927802,
178
+ "rewards/accuracy_reward": 0.7665178909897804,
179
  "rewards/format_reward": 0.0,
180
  "step": 55
181
  },
182
  {
183
+ "completion_length": 575.9379244717685,
184
+ "epoch": 1.0341151385927505,
185
+ "grad_norm": 0.07216066867113113,
186
+ "kl": 0.0033409812233664775,
187
+ "learning_rate": 1.6808050203829845e-06,
188
+ "loss": 0.0001,
189
+ "reward": 0.7869318506934426,
190
+ "reward_std": 0.18544116904112426,
191
+ "rewards/accuracy_reward": 0.7869318506934426,
192
+ "rewards/format_reward": 0.0,
193
+ "step": 60
194
+ },
195
+ {
196
+ "completion_length": 565.3899772644043,
197
+ "epoch": 1.1194029850746268,
198
+ "grad_norm": 0.09482983499765396,
199
+ "kl": 0.0034759521484375,
200
+ "learning_rate": 1.454695458298667e-06,
201
+ "loss": 0.0001,
202
+ "reward": 0.7991071745753289,
203
+ "reward_std": 0.17083449736237527,
204
+ "rewards/accuracy_reward": 0.7991071745753289,
205
+ "rewards/format_reward": 0.0,
206
+ "step": 65
207
+ },
208
+ {
209
+ "completion_length": 571.7268089294433,
210
+ "epoch": 1.2046908315565032,
211
+ "grad_norm": 0.08009294420480728,
212
+ "kl": 0.00347137451171875,
213
+ "learning_rate": 1.2296174432791415e-06,
214
+ "loss": 0.0001,
215
+ "reward": 0.7839286103844643,
216
+ "reward_std": 0.17667411090806126,
217
+ "rewards/accuracy_reward": 0.7837053954601287,
218
+ "rewards/format_reward": 0.00022321429569274187,
219
+ "step": 70
220
+ },
221
+ {
222
+ "completion_length": 565.4739059448242,
223
+ "epoch": 1.2899786780383795,
224
+ "grad_norm": 0.06680043786764145,
225
+ "kl": 0.00329742431640625,
226
+ "learning_rate": 1.0106958161686963e-06,
227
+ "loss": 0.0001,
228
+ "reward": 0.7879464671015739,
229
+ "reward_std": 0.1701756412163377,
230
+ "rewards/accuracy_reward": 0.7879464671015739,
231
+ "rewards/format_reward": 0.0,
232
+ "step": 75
233
+ },
234
+ {
235
+ "epoch": 1.3411513859275053,
236
+ "eval_completion_length": 560.9655020060101,
237
+ "eval_kl": 0.004444744891158197,
238
+ "eval_loss": 0.00021425970771815628,
239
+ "eval_reward": 0.6994489503012921,
240
+ "eval_reward_std": 0.208146112796903,
241
+ "eval_rewards/accuracy_reward": 0.6994489503012921,
242
+ "eval_rewards/format_reward": 0.0,
243
+ "eval_runtime": 4435.898,
244
+ "eval_samples_per_second": 1.127,
245
+ "eval_steps_per_second": 0.01,
246
+ "step": 78
247
+ },
248
+ {
249
+ "completion_length": 551.9654197692871,
250
+ "epoch": 1.375266524520256,
251
+ "grad_norm": 0.1283424198627472,
252
+ "kl": 0.0043430328369140625,
253
+ "learning_rate": 8.029152419343472e-07,
254
+ "loss": 0.0002,
255
+ "reward": 0.7924107536673546,
256
+ "reward_std": 0.17128037009388208,
257
+ "rewards/accuracy_reward": 0.7924107536673546,
258
+ "rewards/format_reward": 0.0,
259
+ "step": 80
260
+ },
261
+ {
262
+ "completion_length": 541.5716796875,
263
+ "epoch": 1.4605543710021323,
264
+ "grad_norm": 0.3723917603492737,
265
+ "kl": 0.003989791870117188,
266
+ "learning_rate": 6.11006712953975e-07,
267
+ "loss": 0.0002,
268
+ "reward": 0.8220982536673546,
269
+ "reward_std": 0.15211040936410428,
270
+ "rewards/accuracy_reward": 0.8220982536673546,
271
+ "rewards/format_reward": 0.0,
272
+ "step": 85
273
+ },
274
+ {
275
+ "completion_length": 563.2312767028809,
276
+ "epoch": 1.5458422174840085,
277
+ "grad_norm": 0.09019841253757477,
278
+ "kl": 0.0033016204833984375,
279
+ "learning_rate": 4.3933982822017883e-07,
280
+ "loss": 0.0001,
281
+ "reward": 0.7973214641213417,
282
+ "reward_std": 0.17157677421346307,
283
+ "rewards/accuracy_reward": 0.7973214641213417,
284
+ "rewards/format_reward": 0.0,
285
+ "step": 90
286
+ },
287
+ {
288
+ "completion_length": 554.155606842041,
289
+ "epoch": 1.6311300639658848,
290
+ "grad_norm": 0.06605476140975952,
291
+ "kl": 0.0035243988037109374,
292
+ "learning_rate": 2.9182330117358096e-07,
293
+ "loss": 0.0001,
294
+ "reward": 0.799107177555561,
295
+ "reward_std": 0.15023288973607124,
296
+ "rewards/accuracy_reward": 0.799107177555561,
297
+ "rewards/format_reward": 0.0,
298
+ "step": 95
299
+ },
300
+ {
301
+ "completion_length": 562.7194396972657,
302
+ "epoch": 1.716417910447761,
303
+ "grad_norm": 0.09438558667898178,
304
+ "kl": 0.003635406494140625,
305
+ "learning_rate": 1.718159615201853e-07,
306
+ "loss": 0.0001,
307
+ "reward": 0.7908482491970062,
308
+ "reward_std": 0.1763416165485978,
309
+ "rewards/accuracy_reward": 0.7908482491970062,
310
+ "rewards/format_reward": 0.0,
311
+ "step": 100
312
+ },
313
+ {
314
+ "completion_length": 581.4640892028808,
315
+ "epoch": 1.8017057569296375,
316
+ "grad_norm": 0.08443931490182877,
317
+ "kl": 0.003319549560546875,
318
+ "learning_rate": 8.20502774480395e-08,
319
+ "loss": 0.0001,
320
+ "reward": 0.7691964648663998,
321
+ "reward_std": 0.178659126162529,
322
+ "rewards/accuracy_reward": 0.7691964648663998,
323
+ "rewards/format_reward": 0.0,
324
+ "step": 105
325
+ },
326
+ {
327
+ "completion_length": 578.9288177490234,
328
+ "epoch": 1.886993603411514,
329
+ "grad_norm": 0.09037923067808151,
330
+ "kl": 0.0033283233642578125,
331
+ "learning_rate": 2.4570139579284723e-08,
332
+ "loss": 0.0001,
333
+ "reward": 0.7825893223285675,
334
+ "reward_std": 0.16389768896624446,
335
+ "rewards/accuracy_reward": 0.7825893223285675,
336
+ "rewards/format_reward": 0.0,
337
+ "step": 110
338
+ },
339
+ {
340
+ "completion_length": 573.8774856567383,
341
+ "epoch": 1.9722814498933903,
342
+ "grad_norm": 0.06668173521757126,
343
+ "kl": 0.0031665802001953126,
344
+ "learning_rate": 6.843232656998933e-10,
345
+ "loss": 0.0001,
346
+ "reward": 0.7763393208384514,
347
+ "reward_std": 0.15611171433702112,
348
+ "rewards/accuracy_reward": 0.7763393208384514,
349
+ "rewards/format_reward": 0.0,
350
+ "step": 115
351
+ },
352
+ {
353
+ "completion_length": 572.2143058776855,
354
+ "epoch": 1.9893390191897655,
355
+ "kl": 0.00342559814453125,
356
+ "reward": 0.7700893357396126,
357
+ "reward_std": 0.18100517243146896,
358
+ "rewards/accuracy_reward": 0.7700893357396126,
359
  "rewards/format_reward": 0.0,
360
+ "step": 116,
361
  "total_flos": 0.0,
362
+ "train_loss": 0.0002975721653738533,
363
+ "train_runtime": 28855.0053,
364
+ "train_samples_per_second": 0.52,
365
+ "train_steps_per_second": 0.004
366
  }
367
  ],
368
  "logging_steps": 5,
369
+ "max_steps": 116,
370
  "num_input_tokens_seen": 0,
371
+ "num_train_epochs": 2,
372
  "save_steps": 500,
373
  "stateful_callbacks": {
374
  "TrainerControl": {
training_args.bin CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:6fe83cf439fa999af0a2fd93d7b931e23c9657bdc43a674526b6cee7c5f10839
3
  size 7544
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:6537740e58151835a485586f2a6eaa1a299d34fc0dc65230787068aa7f3ab238
3
  size 7544