End of training
Browse files- README.md +1 -1
- all_results.json +5 -5
- model.safetensors +1 -1
- train_results.json +5 -5
- trainer_state.json +203 -203
- training_args.bin +1 -1
README.md
CHANGED
|
@@ -30,7 +30,7 @@ print(output["generated_text"])
|
|
| 30 |
|
| 31 |
## Training procedure
|
| 32 |
|
| 33 |
-
[<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/corobov-mitya-individual/huggingface/runs/
|
| 34 |
|
| 35 |
|
| 36 |
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).
|
|
|
|
| 30 |
|
| 31 |
## Training procedure
|
| 32 |
|
| 33 |
+
[<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/corobov-mitya-individual/huggingface/runs/zcdsijaj)
|
| 34 |
|
| 35 |
|
| 36 |
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
|
@@ -1,8 +1,8 @@
|
|
| 1 |
{
|
| 2 |
"total_flos": 0.0,
|
| 3 |
-
"train_loss": 0.
|
| 4 |
-
"train_runtime":
|
| 5 |
-
"train_samples":
|
| 6 |
-
"train_samples_per_second": 0.
|
| 7 |
-
"train_steps_per_second": 0.
|
| 8 |
}
|
|
|
|
| 1 |
{
|
| 2 |
"total_flos": 0.0,
|
| 3 |
+
"train_loss": -0.03877150900661945,
|
| 4 |
+
"train_runtime": 4996.2526,
|
| 5 |
+
"train_samples": 3,
|
| 6 |
+
"train_samples_per_second": 0.016,
|
| 7 |
+
"train_steps_per_second": 0.004
|
| 8 |
}
|
model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 1976163472
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:cdb70c227c8abf2dab49c2c098a88d98e158211501b71354a6d982fdb85fc70c
|
| 3 |
size 1976163472
|
train_results.json
CHANGED
|
@@ -1,8 +1,8 @@
|
|
| 1 |
{
|
| 2 |
"total_flos": 0.0,
|
| 3 |
-
"train_loss": 0.
|
| 4 |
-
"train_runtime":
|
| 5 |
-
"train_samples":
|
| 6 |
-
"train_samples_per_second": 0.
|
| 7 |
-
"train_steps_per_second": 0.
|
| 8 |
}
|
|
|
|
| 1 |
{
|
| 2 |
"total_flos": 0.0,
|
| 3 |
+
"train_loss": -0.03877150900661945,
|
| 4 |
+
"train_runtime": 4996.2526,
|
| 5 |
+
"train_samples": 3,
|
| 6 |
+
"train_samples_per_second": 0.016,
|
| 7 |
+
"train_steps_per_second": 0.004
|
| 8 |
}
|
trainer_state.json
CHANGED
|
@@ -2,7 +2,7 @@
|
|
| 2 |
"best_global_step": null,
|
| 3 |
"best_metric": null,
|
| 4 |
"best_model_checkpoint": null,
|
| 5 |
-
"epoch":
|
| 6 |
"eval_steps": 500,
|
| 7 |
"global_step": 20,
|
| 8 |
"is_hyper_param_search": false,
|
|
@@ -15,37 +15,37 @@
|
|
| 15 |
"clip_ratio/low_mean": 0.0,
|
| 16 |
"clip_ratio/low_min": 0.0,
|
| 17 |
"clip_ratio/region_mean": 0.0,
|
| 18 |
-
"completions/clipped_ratio": 0.
|
| 19 |
-
"completions/max_length":
|
| 20 |
-
"completions/max_terminated_length":
|
| 21 |
-
"completions/mean_length":
|
| 22 |
-
"completions/mean_terminated_length":
|
| 23 |
-
"completions/min_length":
|
| 24 |
-
"completions/min_terminated_length":
|
| 25 |
-
"epoch":
|
| 26 |
-
"grad_norm":
|
| 27 |
"kl": 0.0,
|
| 28 |
"learning_rate": 5e-07,
|
| 29 |
-
"loss": -0.
|
| 30 |
-
"num_tokens":
|
| 31 |
-
"reward": 0.
|
| 32 |
-
"reward_std": 0.
|
| 33 |
-
"rewards/concensus_correctness_reward_func/mean": 0.
|
| 34 |
-
"rewards/concensus_correctness_reward_func/std": 0.
|
| 35 |
-
"rewards/consensus_reward_func/mean": 0.
|
| 36 |
-
"rewards/consensus_reward_func/std": 0.
|
| 37 |
"rewards/cumulative_reward_2/mean": 0.0,
|
| 38 |
"rewards/cumulative_reward_2/std": 0.0,
|
| 39 |
"rewards/final_correctness_reward_func/mean": 0.0,
|
| 40 |
"rewards/final_correctness_reward_func/std": 0.0,
|
| 41 |
-
"rewards/question_recreation_reward_func/mean": 0.
|
| 42 |
-
"rewards/question_recreation_reward_func/std": 0.
|
| 43 |
"rewards/soft_format_reward_func/mean": 0.0,
|
| 44 |
"rewards/soft_format_reward_func/std": 0.0,
|
| 45 |
"rewards/strict_format_reward_func/mean": 0.0,
|
| 46 |
"rewards/strict_format_reward_func/std": 0.0,
|
| 47 |
-
"rewards/xmlcount_reward_func/mean":
|
| 48 |
-
"rewards/xmlcount_reward_func/std": 0.
|
| 49 |
"step": 2
|
| 50 |
},
|
| 51 |
{
|
|
@@ -54,37 +54,37 @@
|
|
| 54 |
"clip_ratio/low_mean": 0.0,
|
| 55 |
"clip_ratio/low_min": 0.0,
|
| 56 |
"clip_ratio/region_mean": 0.0,
|
| 57 |
-
"completions/clipped_ratio": 0.
|
| 58 |
-
"completions/max_length":
|
| 59 |
-
"completions/max_terminated_length":
|
| 60 |
-
"completions/mean_length":
|
| 61 |
-
"completions/mean_terminated_length":
|
| 62 |
-
"completions/min_length":
|
| 63 |
-
"completions/min_terminated_length":
|
| 64 |
-
"epoch":
|
| 65 |
-
"grad_norm":
|
| 66 |
-
"kl": 0.
|
| 67 |
"learning_rate": 4.864543104251586e-07,
|
| 68 |
-
"loss": 0.
|
| 69 |
-
"num_tokens":
|
| 70 |
-
"reward": 0.
|
| 71 |
-
"reward_std": 0.
|
| 72 |
-
"rewards/concensus_correctness_reward_func/mean": 0.
|
| 73 |
-
"rewards/concensus_correctness_reward_func/std": 0.
|
| 74 |
-
"rewards/consensus_reward_func/mean": 0.
|
| 75 |
-
"rewards/consensus_reward_func/std": 0.
|
| 76 |
"rewards/cumulative_reward_2/mean": 0.0,
|
| 77 |
"rewards/cumulative_reward_2/std": 0.0,
|
| 78 |
"rewards/final_correctness_reward_func/mean": 0.0,
|
| 79 |
"rewards/final_correctness_reward_func/std": 0.0,
|
| 80 |
-
"rewards/question_recreation_reward_func/mean": 0.
|
| 81 |
-
"rewards/question_recreation_reward_func/std": 0.
|
| 82 |
"rewards/soft_format_reward_func/mean": 0.0,
|
| 83 |
"rewards/soft_format_reward_func/std": 0.0,
|
| 84 |
"rewards/strict_format_reward_func/mean": 0.0,
|
| 85 |
"rewards/strict_format_reward_func/std": 0.0,
|
| 86 |
-
"rewards/xmlcount_reward_func/mean": 0.
|
| 87 |
-
"rewards/xmlcount_reward_func/std": 0.
|
| 88 |
"step": 4
|
| 89 |
},
|
| 90 |
{
|
|
@@ -93,21 +93,21 @@
|
|
| 93 |
"clip_ratio/low_mean": 0.0,
|
| 94 |
"clip_ratio/low_min": 0.0,
|
| 95 |
"clip_ratio/region_mean": 0.0,
|
| 96 |
-
"completions/clipped_ratio": 0.
|
| 97 |
-
"completions/max_length":
|
| 98 |
-
"completions/max_terminated_length":
|
| 99 |
-
"completions/mean_length":
|
| 100 |
-
"completions/mean_terminated_length":
|
| 101 |
-
"completions/min_length":
|
| 102 |
-
"completions/min_terminated_length":
|
| 103 |
-
"epoch":
|
| 104 |
-
"grad_norm":
|
| 105 |
-
"kl": 0.
|
| 106 |
"learning_rate": 4.472851273490984e-07,
|
| 107 |
-
"loss": 0.
|
| 108 |
-
"num_tokens":
|
| 109 |
-
"reward": 0.
|
| 110 |
-
"reward_std": 0.
|
| 111 |
"rewards/concensus_correctness_reward_func/mean": 0.0,
|
| 112 |
"rewards/concensus_correctness_reward_func/std": 0.0,
|
| 113 |
"rewards/consensus_reward_func/mean": 0.0,
|
|
@@ -116,14 +116,14 @@
|
|
| 116 |
"rewards/cumulative_reward_2/std": 0.0,
|
| 117 |
"rewards/final_correctness_reward_func/mean": 0.0,
|
| 118 |
"rewards/final_correctness_reward_func/std": 0.0,
|
| 119 |
-
"rewards/question_recreation_reward_func/mean": 0.
|
| 120 |
-
"rewards/question_recreation_reward_func/std": 0.
|
| 121 |
"rewards/soft_format_reward_func/mean": 0.0,
|
| 122 |
"rewards/soft_format_reward_func/std": 0.0,
|
| 123 |
"rewards/strict_format_reward_func/mean": 0.0,
|
| 124 |
"rewards/strict_format_reward_func/std": 0.0,
|
| 125 |
-
"rewards/xmlcount_reward_func/mean": 0.
|
| 126 |
-
"rewards/xmlcount_reward_func/std": 0.
|
| 127 |
"step": 6
|
| 128 |
},
|
| 129 |
{
|
|
@@ -132,21 +132,21 @@
|
|
| 132 |
"clip_ratio/low_mean": 0.0,
|
| 133 |
"clip_ratio/low_min": 0.0,
|
| 134 |
"clip_ratio/region_mean": 0.0,
|
| 135 |
-
"completions/clipped_ratio": 0.
|
| 136 |
-
"completions/max_length":
|
| 137 |
-
"completions/max_terminated_length":
|
| 138 |
-
"completions/mean_length":
|
| 139 |
-
"completions/mean_terminated_length":
|
| 140 |
-
"completions/min_length":
|
| 141 |
-
"completions/min_terminated_length":
|
| 142 |
-
"epoch":
|
| 143 |
-
"grad_norm":
|
| 144 |
-
"kl": 0.
|
| 145 |
"learning_rate": 3.867370395306068e-07,
|
| 146 |
-
"loss": -0.
|
| 147 |
-
"num_tokens":
|
| 148 |
-
"reward": 0.
|
| 149 |
-
"reward_std": 0.
|
| 150 |
"rewards/concensus_correctness_reward_func/mean": 0.0,
|
| 151 |
"rewards/concensus_correctness_reward_func/std": 0.0,
|
| 152 |
"rewards/consensus_reward_func/mean": 0.0,
|
|
@@ -155,14 +155,14 @@
|
|
| 155 |
"rewards/cumulative_reward_2/std": 0.0,
|
| 156 |
"rewards/final_correctness_reward_func/mean": 0.0,
|
| 157 |
"rewards/final_correctness_reward_func/std": 0.0,
|
| 158 |
-
"rewards/question_recreation_reward_func/mean": 0.
|
| 159 |
-
"rewards/question_recreation_reward_func/std": 0.
|
| 160 |
"rewards/soft_format_reward_func/mean": 0.0,
|
| 161 |
"rewards/soft_format_reward_func/std": 0.0,
|
| 162 |
"rewards/strict_format_reward_func/mean": 0.0,
|
| 163 |
"rewards/strict_format_reward_func/std": 0.0,
|
| 164 |
-
"rewards/xmlcount_reward_func/mean": 0.
|
| 165 |
-
"rewards/xmlcount_reward_func/std": 0.
|
| 166 |
"step": 8
|
| 167 |
},
|
| 168 |
{
|
|
@@ -172,36 +172,36 @@
|
|
| 172 |
"clip_ratio/low_min": 0.0,
|
| 173 |
"clip_ratio/region_mean": 0.0,
|
| 174 |
"completions/clipped_ratio": 0.0,
|
| 175 |
-
"completions/max_length":
|
| 176 |
-
"completions/max_terminated_length":
|
| 177 |
-
"completions/mean_length":
|
| 178 |
-
"completions/mean_terminated_length":
|
| 179 |
-
"completions/min_length":
|
| 180 |
-
"completions/min_terminated_length":
|
| 181 |
-
"epoch":
|
| 182 |
-
"grad_norm":
|
| 183 |
-
"kl": 0.
|
| 184 |
"learning_rate": 3.1137137178519977e-07,
|
| 185 |
-
"loss": 0.
|
| 186 |
-
"num_tokens":
|
| 187 |
-
"reward": 0.
|
| 188 |
-
"reward_std": 0.
|
| 189 |
"rewards/concensus_correctness_reward_func/mean": 0.0,
|
| 190 |
"rewards/concensus_correctness_reward_func/std": 0.0,
|
| 191 |
"rewards/consensus_reward_func/mean": 0.0,
|
| 192 |
"rewards/consensus_reward_func/std": 0.0,
|
| 193 |
"rewards/cumulative_reward_2/mean": 0.0,
|
| 194 |
"rewards/cumulative_reward_2/std": 0.0,
|
| 195 |
-
"rewards/final_correctness_reward_func/mean": 0.
|
| 196 |
-
"rewards/final_correctness_reward_func/std": 0.
|
| 197 |
-
"rewards/question_recreation_reward_func/mean": 0.
|
| 198 |
-
"rewards/question_recreation_reward_func/std": 0.
|
| 199 |
"rewards/soft_format_reward_func/mean": 0.0,
|
| 200 |
"rewards/soft_format_reward_func/std": 0.0,
|
| 201 |
"rewards/strict_format_reward_func/mean": 0.0,
|
| 202 |
"rewards/strict_format_reward_func/std": 0.0,
|
| 203 |
-
"rewards/xmlcount_reward_func/mean":
|
| 204 |
-
"rewards/xmlcount_reward_func/std": 0.
|
| 205 |
"step": 10
|
| 206 |
},
|
| 207 |
{
|
|
@@ -210,21 +210,21 @@
|
|
| 210 |
"clip_ratio/low_mean": 0.0,
|
| 211 |
"clip_ratio/low_min": 0.0,
|
| 212 |
"clip_ratio/region_mean": 0.0,
|
| 213 |
-
"completions/clipped_ratio": 0.
|
| 214 |
-
"completions/max_length":
|
| 215 |
-
"completions/max_terminated_length":
|
| 216 |
-
"completions/mean_length":
|
| 217 |
-
"completions/mean_terminated_length":
|
| 218 |
-
"completions/min_length":
|
| 219 |
-
"completions/min_terminated_length":
|
| 220 |
-
"epoch":
|
| 221 |
-
"grad_norm":
|
| 222 |
-
"kl": 0.
|
| 223 |
"learning_rate": 2.2935516363191693e-07,
|
| 224 |
-
"loss": 0.
|
| 225 |
-
"num_tokens":
|
| 226 |
-
"reward":
|
| 227 |
-
"reward_std": 0.
|
| 228 |
"rewards/concensus_correctness_reward_func/mean": 0.0,
|
| 229 |
"rewards/concensus_correctness_reward_func/std": 0.0,
|
| 230 |
"rewards/consensus_reward_func/mean": 0.0,
|
|
@@ -233,14 +233,14 @@
|
|
| 233 |
"rewards/cumulative_reward_2/std": 0.0,
|
| 234 |
"rewards/final_correctness_reward_func/mean": 0.0,
|
| 235 |
"rewards/final_correctness_reward_func/std": 0.0,
|
| 236 |
-
"rewards/question_recreation_reward_func/mean": 0.
|
| 237 |
-
"rewards/question_recreation_reward_func/std": 0.
|
| 238 |
"rewards/soft_format_reward_func/mean": 0.0,
|
| 239 |
"rewards/soft_format_reward_func/std": 0.0,
|
| 240 |
"rewards/strict_format_reward_func/mean": 0.0,
|
| 241 |
"rewards/strict_format_reward_func/std": 0.0,
|
| 242 |
-
"rewards/xmlcount_reward_func/mean":
|
| 243 |
-
"rewards/xmlcount_reward_func/std": 0.
|
| 244 |
"step": 12
|
| 245 |
},
|
| 246 |
{
|
|
@@ -250,36 +250,36 @@
|
|
| 250 |
"clip_ratio/low_min": 0.0,
|
| 251 |
"clip_ratio/region_mean": 0.0,
|
| 252 |
"completions/clipped_ratio": 0.0,
|
| 253 |
-
"completions/max_length":
|
| 254 |
-
"completions/max_terminated_length":
|
| 255 |
-
"completions/mean_length":
|
| 256 |
-
"completions/mean_terminated_length":
|
| 257 |
-
"completions/min_length":
|
| 258 |
-
"completions/min_terminated_length":
|
| 259 |
-
"epoch":
|
| 260 |
-
"grad_norm":
|
| 261 |
-
"kl": 0.
|
| 262 |
"learning_rate": 1.4957614383675767e-07,
|
| 263 |
-
"loss": -0.
|
| 264 |
-
"num_tokens":
|
| 265 |
-
"reward": 0.
|
| 266 |
-
"reward_std": 0.
|
| 267 |
-
"rewards/concensus_correctness_reward_func/mean": 0.
|
| 268 |
-
"rewards/concensus_correctness_reward_func/std": 0.
|
| 269 |
-
"rewards/consensus_reward_func/mean": 0.
|
| 270 |
-
"rewards/consensus_reward_func/std": 0.
|
| 271 |
"rewards/cumulative_reward_2/mean": 0.0,
|
| 272 |
"rewards/cumulative_reward_2/std": 0.0,
|
| 273 |
"rewards/final_correctness_reward_func/mean": 0.0,
|
| 274 |
"rewards/final_correctness_reward_func/std": 0.0,
|
| 275 |
-
"rewards/question_recreation_reward_func/mean": 0.
|
| 276 |
-
"rewards/question_recreation_reward_func/std": 0.
|
| 277 |
"rewards/soft_format_reward_func/mean": 0.0,
|
| 278 |
"rewards/soft_format_reward_func/std": 0.0,
|
| 279 |
"rewards/strict_format_reward_func/mean": 0.0,
|
| 280 |
"rewards/strict_format_reward_func/std": 0.0,
|
| 281 |
-
"rewards/xmlcount_reward_func/mean": 0.
|
| 282 |
-
"rewards/xmlcount_reward_func/std": 0.
|
| 283 |
"step": 14
|
| 284 |
},
|
| 285 |
{
|
|
@@ -288,21 +288,21 @@
|
|
| 288 |
"clip_ratio/low_mean": 0.0,
|
| 289 |
"clip_ratio/low_min": 0.0,
|
| 290 |
"clip_ratio/region_mean": 0.0,
|
| 291 |
-
"completions/clipped_ratio": 0.
|
| 292 |
-
"completions/max_length":
|
| 293 |
-
"completions/max_terminated_length":
|
| 294 |
-
"completions/mean_length":
|
| 295 |
-
"completions/mean_terminated_length":
|
| 296 |
-
"completions/min_length":
|
| 297 |
-
"completions/min_terminated_length":
|
| 298 |
-
"epoch":
|
| 299 |
-
"grad_norm":
|
| 300 |
-
"kl": 0.
|
| 301 |
"learning_rate": 8.067960709356478e-08,
|
| 302 |
-
"loss":
|
| 303 |
-
"num_tokens":
|
| 304 |
-
"reward":
|
| 305 |
-
"reward_std": 0.
|
| 306 |
"rewards/concensus_correctness_reward_func/mean": 0.0,
|
| 307 |
"rewards/concensus_correctness_reward_func/std": 0.0,
|
| 308 |
"rewards/consensus_reward_func/mean": 0.0,
|
|
@@ -311,14 +311,14 @@
|
|
| 311 |
"rewards/cumulative_reward_2/std": 0.0,
|
| 312 |
"rewards/final_correctness_reward_func/mean": 0.0,
|
| 313 |
"rewards/final_correctness_reward_func/std": 0.0,
|
| 314 |
-
"rewards/question_recreation_reward_func/mean": 0.
|
| 315 |
-
"rewards/question_recreation_reward_func/std": 0.
|
| 316 |
"rewards/soft_format_reward_func/mean": 0.0,
|
| 317 |
"rewards/soft_format_reward_func/std": 0.0,
|
| 318 |
"rewards/strict_format_reward_func/mean": 0.0,
|
| 319 |
"rewards/strict_format_reward_func/std": 0.0,
|
| 320 |
-
"rewards/xmlcount_reward_func/mean":
|
| 321 |
-
"rewards/xmlcount_reward_func/std": 0.
|
| 322 |
"step": 16
|
| 323 |
},
|
| 324 |
{
|
|
@@ -327,37 +327,37 @@
|
|
| 327 |
"clip_ratio/low_mean": 0.0,
|
| 328 |
"clip_ratio/low_min": 0.0,
|
| 329 |
"clip_ratio/region_mean": 0.0,
|
| 330 |
-
"completions/clipped_ratio": 0.
|
| 331 |
-
"completions/max_length":
|
| 332 |
-
"completions/max_terminated_length":
|
| 333 |
-
"completions/mean_length":
|
| 334 |
-
"completions/mean_terminated_length":
|
| 335 |
-
"completions/min_length":
|
| 336 |
-
"completions/min_terminated_length":
|
| 337 |
-
"epoch":
|
| 338 |
-
"grad_norm":
|
| 339 |
-
"kl": 0.
|
| 340 |
"learning_rate": 3.013156219837776e-08,
|
| 341 |
-
"loss":
|
| 342 |
-
"num_tokens":
|
| 343 |
-
"reward":
|
| 344 |
-
"reward_std":
|
| 345 |
-
"rewards/concensus_correctness_reward_func/mean": 0.
|
| 346 |
-
"rewards/concensus_correctness_reward_func/std": 0.
|
| 347 |
-
"rewards/consensus_reward_func/mean": 0.
|
| 348 |
-
"rewards/consensus_reward_func/std": 0.
|
| 349 |
"rewards/cumulative_reward_2/mean": 0.0,
|
| 350 |
"rewards/cumulative_reward_2/std": 0.0,
|
| 351 |
"rewards/final_correctness_reward_func/mean": 0.0,
|
| 352 |
"rewards/final_correctness_reward_func/std": 0.0,
|
| 353 |
-
"rewards/question_recreation_reward_func/mean": 0.
|
| 354 |
-
"rewards/question_recreation_reward_func/std": 0.
|
| 355 |
"rewards/soft_format_reward_func/mean": 0.0,
|
| 356 |
"rewards/soft_format_reward_func/std": 0.0,
|
| 357 |
"rewards/strict_format_reward_func/mean": 0.0,
|
| 358 |
"rewards/strict_format_reward_func/std": 0.0,
|
| 359 |
-
"rewards/xmlcount_reward_func/mean":
|
| 360 |
-
"rewards/xmlcount_reward_func/std": 0.
|
| 361 |
"step": 18
|
| 362 |
},
|
| 363 |
{
|
|
@@ -366,21 +366,21 @@
|
|
| 366 |
"clip_ratio/low_mean": 0.0,
|
| 367 |
"clip_ratio/low_min": 0.0,
|
| 368 |
"clip_ratio/region_mean": 0.0,
|
| 369 |
-
"completions/clipped_ratio": 0.
|
| 370 |
-
"completions/max_length":
|
| 371 |
-
"completions/max_terminated_length":
|
| 372 |
-
"completions/mean_length":
|
| 373 |
-
"completions/mean_terminated_length":
|
| 374 |
-
"completions/min_length":
|
| 375 |
-
"completions/min_terminated_length":
|
| 376 |
-
"epoch":
|
| 377 |
-
"grad_norm":
|
| 378 |
-
"kl": 0.
|
| 379 |
"learning_rate": 3.4096741493194193e-09,
|
| 380 |
-
"loss": 0.
|
| 381 |
-
"num_tokens":
|
| 382 |
-
"reward":
|
| 383 |
-
"reward_std": 0.
|
| 384 |
"rewards/concensus_correctness_reward_func/mean": 0.0,
|
| 385 |
"rewards/concensus_correctness_reward_func/std": 0.0,
|
| 386 |
"rewards/consensus_reward_func/mean": 0.0,
|
|
@@ -389,30 +389,30 @@
|
|
| 389 |
"rewards/cumulative_reward_2/std": 0.0,
|
| 390 |
"rewards/final_correctness_reward_func/mean": 0.0,
|
| 391 |
"rewards/final_correctness_reward_func/std": 0.0,
|
| 392 |
-
"rewards/question_recreation_reward_func/mean": 0.
|
| 393 |
-
"rewards/question_recreation_reward_func/std": 0.
|
| 394 |
"rewards/soft_format_reward_func/mean": 0.0,
|
| 395 |
"rewards/soft_format_reward_func/std": 0.0,
|
| 396 |
"rewards/strict_format_reward_func/mean": 0.0,
|
| 397 |
"rewards/strict_format_reward_func/std": 0.0,
|
| 398 |
-
"rewards/xmlcount_reward_func/mean":
|
| 399 |
-
"rewards/xmlcount_reward_func/std": 0.
|
| 400 |
"step": 20
|
| 401 |
},
|
| 402 |
{
|
| 403 |
-
"epoch":
|
| 404 |
"step": 20,
|
| 405 |
"total_flos": 0.0,
|
| 406 |
-
"train_loss": 0.
|
| 407 |
-
"train_runtime":
|
| 408 |
-
"train_samples_per_second": 0.
|
| 409 |
-
"train_steps_per_second": 0.
|
| 410 |
}
|
| 411 |
],
|
| 412 |
"logging_steps": 2,
|
| 413 |
"max_steps": 20,
|
| 414 |
-
"num_input_tokens_seen":
|
| 415 |
-
"num_train_epochs":
|
| 416 |
"save_steps": 25,
|
| 417 |
"stateful_callbacks": {
|
| 418 |
"TrainerControl": {
|
|
|
|
| 2 |
"best_global_step": null,
|
| 3 |
"best_metric": null,
|
| 4 |
"best_model_checkpoint": null,
|
| 5 |
+
"epoch": 19.666666666666668,
|
| 6 |
"eval_steps": 500,
|
| 7 |
"global_step": 20,
|
| 8 |
"is_hyper_param_search": false,
|
|
|
|
| 15 |
"clip_ratio/low_mean": 0.0,
|
| 16 |
"clip_ratio/low_min": 0.0,
|
| 17 |
"clip_ratio/region_mean": 0.0,
|
| 18 |
+
"completions/clipped_ratio": 0.0,
|
| 19 |
+
"completions/max_length": 353.5,
|
| 20 |
+
"completions/max_terminated_length": 353.5,
|
| 21 |
+
"completions/mean_length": 172.83333587646484,
|
| 22 |
+
"completions/mean_terminated_length": 172.83333587646484,
|
| 23 |
+
"completions/min_length": 56.5,
|
| 24 |
+
"completions/min_terminated_length": 56.5,
|
| 25 |
+
"epoch": 1.6666666666666665,
|
| 26 |
+
"grad_norm": 24.607608795166016,
|
| 27 |
"kl": 0.0,
|
| 28 |
"learning_rate": 5e-07,
|
| 29 |
+
"loss": -0.161,
|
| 30 |
+
"num_tokens": 3192.0,
|
| 31 |
+
"reward": 0.7391411811113358,
|
| 32 |
+
"reward_std": 0.8254430899396539,
|
| 33 |
+
"rewards/concensus_correctness_reward_func/mean": 0.23999999463558197,
|
| 34 |
+
"rewards/concensus_correctness_reward_func/std": 0.47999998927116394,
|
| 35 |
+
"rewards/consensus_reward_func/mean": 0.25,
|
| 36 |
+
"rewards/consensus_reward_func/std": 0.5,
|
| 37 |
"rewards/cumulative_reward_2/mean": 0.0,
|
| 38 |
"rewards/cumulative_reward_2/std": 0.0,
|
| 39 |
"rewards/final_correctness_reward_func/mean": 0.0,
|
| 40 |
"rewards/final_correctness_reward_func/std": 0.0,
|
| 41 |
+
"rewards/question_recreation_reward_func/mean": 0.08939116820693016,
|
| 42 |
+
"rewards/question_recreation_reward_func/std": 0.09541699755936861,
|
| 43 |
"rewards/soft_format_reward_func/mean": 0.0,
|
| 44 |
"rewards/soft_format_reward_func/std": 0.0,
|
| 45 |
"rewards/strict_format_reward_func/mean": 0.0,
|
| 46 |
"rewards/strict_format_reward_func/std": 0.0,
|
| 47 |
+
"rewards/xmlcount_reward_func/mean": 0.15974999964237213,
|
| 48 |
+
"rewards/xmlcount_reward_func/std": 0.2241138368844986,
|
| 49 |
"step": 2
|
| 50 |
},
|
| 51 |
{
|
|
|
|
| 54 |
"clip_ratio/low_mean": 0.0,
|
| 55 |
"clip_ratio/low_min": 0.0,
|
| 56 |
"clip_ratio/region_mean": 0.0,
|
| 57 |
+
"completions/clipped_ratio": 0.16666666666666669,
|
| 58 |
+
"completions/max_length": 346.0,
|
| 59 |
+
"completions/max_terminated_length": 189.5,
|
| 60 |
+
"completions/mean_length": 198.8333282470703,
|
| 61 |
+
"completions/mean_terminated_length": 141.5,
|
| 62 |
+
"completions/min_length": 77.0,
|
| 63 |
+
"completions/min_terminated_length": 77.0,
|
| 64 |
+
"epoch": 3.6666666666666665,
|
| 65 |
+
"grad_norm": 8.281935691833496,
|
| 66 |
+
"kl": 0.0013531837284972426,
|
| 67 |
"learning_rate": 4.864543104251586e-07,
|
| 68 |
+
"loss": 0.0243,
|
| 69 |
+
"num_tokens": 6675.0,
|
| 70 |
+
"reward": 0.7484749890863895,
|
| 71 |
+
"reward_std": 0.9315725984051824,
|
| 72 |
+
"rewards/concensus_correctness_reward_func/mean": 0.23999999463558197,
|
| 73 |
+
"rewards/concensus_correctness_reward_func/std": 0.47999998927116394,
|
| 74 |
+
"rewards/consensus_reward_func/mean": 0.25,
|
| 75 |
+
"rewards/consensus_reward_func/std": 0.5,
|
| 76 |
"rewards/cumulative_reward_2/mean": 0.0,
|
| 77 |
"rewards/cumulative_reward_2/std": 0.0,
|
| 78 |
"rewards/final_correctness_reward_func/mean": 0.0,
|
| 79 |
"rewards/final_correctness_reward_func/std": 0.0,
|
| 80 |
+
"rewards/question_recreation_reward_func/mean": 0.040849958546459675,
|
| 81 |
+
"rewards/question_recreation_reward_func/std": 0.02256392315030098,
|
| 82 |
"rewards/soft_format_reward_func/mean": 0.0,
|
| 83 |
"rewards/soft_format_reward_func/std": 0.0,
|
| 84 |
"rewards/strict_format_reward_func/mean": 0.0,
|
| 85 |
"rewards/strict_format_reward_func/std": 0.0,
|
| 86 |
+
"rewards/xmlcount_reward_func/mean": 0.21762500703334808,
|
| 87 |
+
"rewards/xmlcount_reward_func/std": 0.28903544694185257,
|
| 88 |
"step": 4
|
| 89 |
},
|
| 90 |
{
|
|
|
|
| 93 |
"clip_ratio/low_mean": 0.0,
|
| 94 |
"clip_ratio/low_min": 0.0,
|
| 95 |
"clip_ratio/region_mean": 0.0,
|
| 96 |
+
"completions/clipped_ratio": 0.0,
|
| 97 |
+
"completions/max_length": 230.5,
|
| 98 |
+
"completions/max_terminated_length": 230.5,
|
| 99 |
+
"completions/mean_length": 104.0,
|
| 100 |
+
"completions/mean_terminated_length": 104.0,
|
| 101 |
+
"completions/min_length": 13.5,
|
| 102 |
+
"completions/min_terminated_length": 13.5,
|
| 103 |
+
"epoch": 5.666666666666667,
|
| 104 |
+
"grad_norm": 19.817241668701172,
|
| 105 |
+
"kl": 0.005833291725139134,
|
| 106 |
"learning_rate": 4.472851273490984e-07,
|
| 107 |
+
"loss": 0.1028,
|
| 108 |
+
"num_tokens": 9569.0,
|
| 109 |
+
"reward": 0.15289875864982605,
|
| 110 |
+
"reward_std": 0.13462494127452374,
|
| 111 |
"rewards/concensus_correctness_reward_func/mean": 0.0,
|
| 112 |
"rewards/concensus_correctness_reward_func/std": 0.0,
|
| 113 |
"rewards/consensus_reward_func/mean": 0.0,
|
|
|
|
| 116 |
"rewards/cumulative_reward_2/std": 0.0,
|
| 117 |
"rewards/final_correctness_reward_func/mean": 0.0,
|
| 118 |
"rewards/final_correctness_reward_func/std": 0.0,
|
| 119 |
+
"rewards/question_recreation_reward_func/mean": 0.052898744121193886,
|
| 120 |
+
"rewards/question_recreation_reward_func/std": 0.050960212014615536,
|
| 121 |
"rewards/soft_format_reward_func/mean": 0.0,
|
| 122 |
"rewards/soft_format_reward_func/std": 0.0,
|
| 123 |
"rewards/strict_format_reward_func/mean": 0.0,
|
| 124 |
"rewards/strict_format_reward_func/std": 0.0,
|
| 125 |
+
"rewards/xmlcount_reward_func/mean": 0.10000000149011612,
|
| 126 |
+
"rewards/xmlcount_reward_func/std": 0.16105124354362488,
|
| 127 |
"step": 6
|
| 128 |
},
|
| 129 |
{
|
|
|
|
| 132 |
"clip_ratio/low_mean": 0.0,
|
| 133 |
"clip_ratio/low_min": 0.0,
|
| 134 |
"clip_ratio/region_mean": 0.0,
|
| 135 |
+
"completions/clipped_ratio": 0.0,
|
| 136 |
+
"completions/max_length": 214.5,
|
| 137 |
+
"completions/max_terminated_length": 214.5,
|
| 138 |
+
"completions/mean_length": 101.66666412353516,
|
| 139 |
+
"completions/mean_terminated_length": 101.66666412353516,
|
| 140 |
+
"completions/min_length": 24.0,
|
| 141 |
+
"completions/min_terminated_length": 24.0,
|
| 142 |
+
"epoch": 7.666666666666667,
|
| 143 |
+
"grad_norm": 16.099365234375,
|
| 144 |
+
"kl": 0.006465533399023116,
|
| 145 |
"learning_rate": 3.867370395306068e-07,
|
| 146 |
+
"loss": -0.2668,
|
| 147 |
+
"num_tokens": 12403.0,
|
| 148 |
+
"reward": 0.16425441950559616,
|
| 149 |
+
"reward_std": 0.13405008241534233,
|
| 150 |
"rewards/concensus_correctness_reward_func/mean": 0.0,
|
| 151 |
"rewards/concensus_correctness_reward_func/std": 0.0,
|
| 152 |
"rewards/consensus_reward_func/mean": 0.0,
|
|
|
|
| 155 |
"rewards/cumulative_reward_2/std": 0.0,
|
| 156 |
"rewards/final_correctness_reward_func/mean": 0.0,
|
| 157 |
"rewards/final_correctness_reward_func/std": 0.0,
|
| 158 |
+
"rewards/question_recreation_reward_func/mean": 0.12725441344082355,
|
| 159 |
+
"rewards/question_recreation_reward_func/std": 0.17341968975961208,
|
| 160 |
"rewards/soft_format_reward_func/mean": 0.0,
|
| 161 |
"rewards/soft_format_reward_func/std": 0.0,
|
| 162 |
"rewards/strict_format_reward_func/mean": 0.0,
|
| 163 |
"rewards/strict_format_reward_func/std": 0.0,
|
| 164 |
+
"rewards/xmlcount_reward_func/mean": 0.03700000001117587,
|
| 165 |
+
"rewards/xmlcount_reward_func/std": 0.047584391199052334,
|
| 166 |
"step": 8
|
| 167 |
},
|
| 168 |
{
|
|
|
|
| 172 |
"clip_ratio/low_min": 0.0,
|
| 173 |
"clip_ratio/region_mean": 0.0,
|
| 174 |
"completions/clipped_ratio": 0.0,
|
| 175 |
+
"completions/max_length": 181.0,
|
| 176 |
+
"completions/max_terminated_length": 181.0,
|
| 177 |
+
"completions/mean_length": 126.33333206176758,
|
| 178 |
+
"completions/mean_terminated_length": 126.33333206176758,
|
| 179 |
+
"completions/min_length": 77.5,
|
| 180 |
+
"completions/min_terminated_length": 77.5,
|
| 181 |
+
"epoch": 9.666666666666666,
|
| 182 |
+
"grad_norm": 12.087945938110352,
|
| 183 |
+
"kl": 0.010334744409192353,
|
| 184 |
"learning_rate": 3.1137137178519977e-07,
|
| 185 |
+
"loss": 0.0072,
|
| 186 |
+
"num_tokens": 15403.0,
|
| 187 |
+
"reward": 0.12861808016896248,
|
| 188 |
+
"reward_std": 0.07254930585622787,
|
| 189 |
"rewards/concensus_correctness_reward_func/mean": 0.0,
|
| 190 |
"rewards/concensus_correctness_reward_func/std": 0.0,
|
| 191 |
"rewards/consensus_reward_func/mean": 0.0,
|
| 192 |
"rewards/consensus_reward_func/std": 0.0,
|
| 193 |
"rewards/cumulative_reward_2/mean": 0.0,
|
| 194 |
"rewards/cumulative_reward_2/std": 0.0,
|
| 195 |
+
"rewards/final_correctness_reward_func/mean": 0.0,
|
| 196 |
+
"rewards/final_correctness_reward_func/std": 0.0,
|
| 197 |
+
"rewards/question_recreation_reward_func/mean": 0.05049308016896248,
|
| 198 |
+
"rewards/question_recreation_reward_func/std": 0.03305052034556866,
|
| 199 |
"rewards/soft_format_reward_func/mean": 0.0,
|
| 200 |
"rewards/soft_format_reward_func/std": 0.0,
|
| 201 |
"rewards/strict_format_reward_func/mean": 0.0,
|
| 202 |
"rewards/strict_format_reward_func/std": 0.0,
|
| 203 |
+
"rewards/xmlcount_reward_func/mean": 0.078125,
|
| 204 |
+
"rewards/xmlcount_reward_func/std": 0.1196383461356163,
|
| 205 |
"step": 10
|
| 206 |
},
|
| 207 |
{
|
|
|
|
| 210 |
"clip_ratio/low_mean": 0.0,
|
| 211 |
"clip_ratio/low_min": 0.0,
|
| 212 |
"clip_ratio/region_mean": 0.0,
|
| 213 |
+
"completions/clipped_ratio": 0.0,
|
| 214 |
+
"completions/max_length": 208.0,
|
| 215 |
+
"completions/max_terminated_length": 208.0,
|
| 216 |
+
"completions/mean_length": 105.5,
|
| 217 |
+
"completions/mean_terminated_length": 105.5,
|
| 218 |
+
"completions/min_length": 32.0,
|
| 219 |
+
"completions/min_terminated_length": 32.0,
|
| 220 |
+
"epoch": 11.666666666666666,
|
| 221 |
+
"grad_norm": 25.62042808532715,
|
| 222 |
+
"kl": 0.014036847351235338,
|
| 223 |
"learning_rate": 2.2935516363191693e-07,
|
| 224 |
+
"loss": -0.1005,
|
| 225 |
+
"num_tokens": 18146.0,
|
| 226 |
+
"reward": 0.07443425804376602,
|
| 227 |
+
"reward_std": 0.025631051044911146,
|
| 228 |
"rewards/concensus_correctness_reward_func/mean": 0.0,
|
| 229 |
"rewards/concensus_correctness_reward_func/std": 0.0,
|
| 230 |
"rewards/consensus_reward_func/mean": 0.0,
|
|
|
|
| 233 |
"rewards/cumulative_reward_2/std": 0.0,
|
| 234 |
"rewards/final_correctness_reward_func/mean": 0.0,
|
| 235 |
"rewards/final_correctness_reward_func/std": 0.0,
|
| 236 |
+
"rewards/question_recreation_reward_func/mean": 0.02743426151573658,
|
| 237 |
+
"rewards/question_recreation_reward_func/std": 0.011736967135220766,
|
| 238 |
"rewards/soft_format_reward_func/mean": 0.0,
|
| 239 |
"rewards/soft_format_reward_func/std": 0.0,
|
| 240 |
"rewards/strict_format_reward_func/mean": 0.0,
|
| 241 |
"rewards/strict_format_reward_func/std": 0.0,
|
| 242 |
+
"rewards/xmlcount_reward_func/mean": 0.04700000025331974,
|
| 243 |
+
"rewards/xmlcount_reward_func/std": 0.06758439540863037,
|
| 244 |
"step": 12
|
| 245 |
},
|
| 246 |
{
|
|
|
|
| 250 |
"clip_ratio/low_min": 0.0,
|
| 251 |
"clip_ratio/region_mean": 0.0,
|
| 252 |
"completions/clipped_ratio": 0.0,
|
| 253 |
+
"completions/max_length": 115.0,
|
| 254 |
+
"completions/max_terminated_length": 115.0,
|
| 255 |
+
"completions/mean_length": 93.5,
|
| 256 |
+
"completions/mean_terminated_length": 93.5,
|
| 257 |
+
"completions/min_length": 69.5,
|
| 258 |
+
"completions/min_terminated_length": 69.5,
|
| 259 |
+
"epoch": 13.666666666666666,
|
| 260 |
+
"grad_norm": 9.609339714050293,
|
| 261 |
+
"kl": 0.02532817842438817,
|
| 262 |
"learning_rate": 1.4957614383675767e-07,
|
| 263 |
+
"loss": -0.0654,
|
| 264 |
+
"num_tokens": 21002.0,
|
| 265 |
+
"reward": 0.8926658928394318,
|
| 266 |
+
"reward_std": 0.7070434279739857,
|
| 267 |
+
"rewards/concensus_correctness_reward_func/mean": 0.24050000309944153,
|
| 268 |
+
"rewards/concensus_correctness_reward_func/std": 0.48100000619888306,
|
| 269 |
+
"rewards/consensus_reward_func/mean": 0.25,
|
| 270 |
+
"rewards/consensus_reward_func/std": 0.5,
|
| 271 |
"rewards/cumulative_reward_2/mean": 0.0,
|
| 272 |
"rewards/cumulative_reward_2/std": 0.0,
|
| 273 |
"rewards/final_correctness_reward_func/mean": 0.0,
|
| 274 |
"rewards/final_correctness_reward_func/std": 0.0,
|
| 275 |
+
"rewards/question_recreation_reward_func/mean": 0.10116582456976175,
|
| 276 |
+
"rewards/question_recreation_reward_func/std": 0.11067926976829767,
|
| 277 |
"rewards/soft_format_reward_func/mean": 0.0,
|
| 278 |
"rewards/soft_format_reward_func/std": 0.0,
|
| 279 |
"rewards/strict_format_reward_func/mean": 0.0,
|
| 280 |
"rewards/strict_format_reward_func/std": 0.0,
|
| 281 |
+
"rewards/xmlcount_reward_func/mean": 0.3009999990463257,
|
| 282 |
+
"rewards/xmlcount_reward_func/std": 0.2542915344238281,
|
| 283 |
"step": 14
|
| 284 |
},
|
| 285 |
{
|
|
|
|
| 288 |
"clip_ratio/low_mean": 0.0,
|
| 289 |
"clip_ratio/low_min": 0.0,
|
| 290 |
"clip_ratio/region_mean": 0.0,
|
| 291 |
+
"completions/clipped_ratio": 0.16666666666666669,
|
| 292 |
+
"completions/max_length": 378.0,
|
| 293 |
+
"completions/max_terminated_length": 206.0,
|
| 294 |
+
"completions/mean_length": 197.33333587646484,
|
| 295 |
+
"completions/mean_terminated_length": 134.91666412353516,
|
| 296 |
+
"completions/min_length": 78.5,
|
| 297 |
+
"completions/min_terminated_length": 78.5,
|
| 298 |
+
"epoch": 15.666666666666666,
|
| 299 |
+
"grad_norm": 16.777217864990234,
|
| 300 |
+
"kl": 0.016524533144547604,
|
| 301 |
"learning_rate": 8.067960709356478e-08,
|
| 302 |
+
"loss": 0.0725,
|
| 303 |
+
"num_tokens": 24589.0,
|
| 304 |
+
"reward": 0.14827939122915268,
|
| 305 |
+
"reward_std": 0.14140347205102444,
|
| 306 |
"rewards/concensus_correctness_reward_func/mean": 0.0,
|
| 307 |
"rewards/concensus_correctness_reward_func/std": 0.0,
|
| 308 |
"rewards/consensus_reward_func/mean": 0.0,
|
|
|
|
| 311 |
"rewards/cumulative_reward_2/std": 0.0,
|
| 312 |
"rewards/final_correctness_reward_func/mean": 0.0,
|
| 313 |
"rewards/final_correctness_reward_func/std": 0.0,
|
| 314 |
+
"rewards/question_recreation_reward_func/mean": 0.13127939216792583,
|
| 315 |
+
"rewards/question_recreation_reward_func/std": 0.19441921077668667,
|
| 316 |
"rewards/soft_format_reward_func/mean": 0.0,
|
| 317 |
"rewards/soft_format_reward_func/std": 0.0,
|
| 318 |
"rewards/strict_format_reward_func/mean": 0.0,
|
| 319 |
"rewards/strict_format_reward_func/std": 0.0,
|
| 320 |
+
"rewards/xmlcount_reward_func/mean": 0.017000000923871994,
|
| 321 |
+
"rewards/xmlcount_reward_func/std": 0.08594898879528046,
|
| 322 |
"step": 16
|
| 323 |
},
|
| 324 |
{
|
|
|
|
| 327 |
"clip_ratio/low_mean": 0.0,
|
| 328 |
"clip_ratio/low_min": 0.0,
|
| 329 |
"clip_ratio/region_mean": 0.0,
|
| 330 |
+
"completions/clipped_ratio": 0.0,
|
| 331 |
+
"completions/max_length": 245.0,
|
| 332 |
+
"completions/max_terminated_length": 245.0,
|
| 333 |
+
"completions/mean_length": 169.33333587646484,
|
| 334 |
+
"completions/mean_terminated_length": 169.33333587646484,
|
| 335 |
+
"completions/min_length": 98.5,
|
| 336 |
+
"completions/min_terminated_length": 98.5,
|
| 337 |
+
"epoch": 17.666666666666668,
|
| 338 |
+
"grad_norm": 12.084244728088379,
|
| 339 |
+
"kl": 0.013836602825904265,
|
| 340 |
"learning_rate": 3.013156219837776e-08,
|
| 341 |
+
"loss": 0.1236,
|
| 342 |
+
"num_tokens": 27785.0,
|
| 343 |
+
"reward": 0.7921578735113144,
|
| 344 |
+
"reward_std": 1.0020692646503448,
|
| 345 |
+
"rewards/concensus_correctness_reward_func/mean": 0.24050000309944153,
|
| 346 |
+
"rewards/concensus_correctness_reward_func/std": 0.48100000619888306,
|
| 347 |
+
"rewards/consensus_reward_func/mean": 0.25,
|
| 348 |
+
"rewards/consensus_reward_func/std": 0.5,
|
| 349 |
"rewards/cumulative_reward_2/mean": 0.0,
|
| 350 |
"rewards/cumulative_reward_2/std": 0.0,
|
| 351 |
"rewards/final_correctness_reward_func/mean": 0.0,
|
| 352 |
"rewards/final_correctness_reward_func/std": 0.0,
|
| 353 |
+
"rewards/question_recreation_reward_func/mean": 0.12290793936699629,
|
| 354 |
+
"rewards/question_recreation_reward_func/std": 0.19958087475970387,
|
| 355 |
"rewards/soft_format_reward_func/mean": 0.0,
|
| 356 |
"rewards/soft_format_reward_func/std": 0.0,
|
| 357 |
"rewards/strict_format_reward_func/mean": 0.0,
|
| 358 |
"rewards/strict_format_reward_func/std": 0.0,
|
| 359 |
+
"rewards/xmlcount_reward_func/mean": 0.17875000089406967,
|
| 360 |
+
"rewards/xmlcount_reward_func/std": 0.28059088438749313,
|
| 361 |
"step": 18
|
| 362 |
},
|
| 363 |
{
|
|
|
|
| 366 |
"clip_ratio/low_mean": 0.0,
|
| 367 |
"clip_ratio/low_min": 0.0,
|
| 368 |
"clip_ratio/region_mean": 0.0,
|
| 369 |
+
"completions/clipped_ratio": 0.0,
|
| 370 |
+
"completions/max_length": 341.0,
|
| 371 |
+
"completions/max_terminated_length": 341.0,
|
| 372 |
+
"completions/mean_length": 187.5,
|
| 373 |
+
"completions/mean_terminated_length": 187.5,
|
| 374 |
+
"completions/min_length": 96.0,
|
| 375 |
+
"completions/min_terminated_length": 96.0,
|
| 376 |
+
"epoch": 19.666666666666668,
|
| 377 |
+
"grad_norm": 8.484414100646973,
|
| 378 |
+
"kl": 0.008221860975027084,
|
| 379 |
"learning_rate": 3.4096741493194193e-09,
|
| 380 |
+
"loss": -0.1244,
|
| 381 |
+
"num_tokens": 31386.0,
|
| 382 |
+
"reward": 0.07486644759774208,
|
| 383 |
+
"reward_std": 0.07879441790282726,
|
| 384 |
"rewards/concensus_correctness_reward_func/mean": 0.0,
|
| 385 |
"rewards/concensus_correctness_reward_func/std": 0.0,
|
| 386 |
"rewards/consensus_reward_func/mean": 0.0,
|
|
|
|
| 389 |
"rewards/cumulative_reward_2/std": 0.0,
|
| 390 |
"rewards/final_correctness_reward_func/mean": 0.0,
|
| 391 |
"rewards/final_correctness_reward_func/std": 0.0,
|
| 392 |
+
"rewards/question_recreation_reward_func/mean": 0.0378664480522275,
|
| 393 |
+
"rewards/question_recreation_reward_func/std": 0.04724898235872388,
|
| 394 |
"rewards/soft_format_reward_func/mean": 0.0,
|
| 395 |
"rewards/soft_format_reward_func/std": 0.0,
|
| 396 |
"rewards/strict_format_reward_func/mean": 0.0,
|
| 397 |
"rewards/strict_format_reward_func/std": 0.0,
|
| 398 |
+
"rewards/xmlcount_reward_func/mean": 0.03700000047683716,
|
| 399 |
+
"rewards/xmlcount_reward_func/std": 0.07400000095367432,
|
| 400 |
"step": 20
|
| 401 |
},
|
| 402 |
{
|
| 403 |
+
"epoch": 19.666666666666668,
|
| 404 |
"step": 20,
|
| 405 |
"total_flos": 0.0,
|
| 406 |
+
"train_loss": -0.03877150900661945,
|
| 407 |
+
"train_runtime": 4996.2526,
|
| 408 |
+
"train_samples_per_second": 0.016,
|
| 409 |
+
"train_steps_per_second": 0.004
|
| 410 |
}
|
| 411 |
],
|
| 412 |
"logging_steps": 2,
|
| 413 |
"max_steps": 20,
|
| 414 |
+
"num_input_tokens_seen": 31386,
|
| 415 |
+
"num_train_epochs": 20,
|
| 416 |
"save_steps": 25,
|
| 417 |
"stateful_callbacks": {
|
| 418 |
"TrainerControl": {
|
training_args.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 6929
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:ff8519a297979b81c6f6328bec1149b7a9ae9dac22c186355657d01cde9d0fa5
|
| 3 |
size 6929
|