checkpoint step 150
Browse files
checkpoint-150/adapter_model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 80792880
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:61441c27c8e2946fac3d6d724768c81e03d3c7152dc542c9aebcc45884960470
|
| 3 |
size 80792880
|
checkpoint-150/optimizer.pt
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 161816251
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:6b761887b9802d820ad2887652d84840fcfc58c451300200d7f80249af86ffa2
|
| 3 |
size 161816251
|
checkpoint-150/rng_state.pth
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 14645
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:e227f117fd587201c8f558fa675e184363377e29997075648dd2577c8c0a5708
|
| 3 |
size 14645
|
checkpoint-150/scheduler.pt
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 1465
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:4f5dd9010deb31119d8d374692c18051d183d660658e91856f8ce0f6358460d6
|
| 3 |
size 1465
|
checkpoint-150/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": 150,
|
| 8 |
"is_hyper_param_search": false,
|
|
@@ -15,26 +15,26 @@
|
|
| 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 |
-
"entropy": 0.
|
| 26 |
-
"epoch":
|
| 27 |
-
"frac_reward_zero_std": 0.
|
| 28 |
-
"grad_norm": 0.
|
| 29 |
"learning_rate": 1.0000000000000002e-06,
|
| 30 |
-
"loss": 0.
|
| 31 |
-
"num_tokens":
|
| 32 |
-
"reward": 0.
|
| 33 |
-
"reward_std": 0.
|
| 34 |
-
"rewards/reward_fn/mean": 0.
|
| 35 |
-
"rewards/reward_fn/std": 0.
|
| 36 |
"step": 5,
|
| 37 |
-
"step_time":
|
| 38 |
},
|
| 39 |
{
|
| 40 |
"clip_ratio/high_max": 0.0,
|
|
@@ -42,26 +42,26 @@
|
|
| 42 |
"clip_ratio/low_mean": 0.0,
|
| 43 |
"clip_ratio/low_min": 0.0,
|
| 44 |
"clip_ratio/region_mean": 0.0,
|
| 45 |
-
"completions/clipped_ratio": 0.
|
| 46 |
-
"completions/max_length":
|
| 47 |
-
"completions/max_terminated_length":
|
| 48 |
-
"completions/mean_length":
|
| 49 |
-
"completions/mean_terminated_length":
|
| 50 |
-
"completions/min_length": 17.
|
| 51 |
-
"completions/min_terminated_length": 17.
|
| 52 |
-
"entropy": 0.
|
| 53 |
-
"epoch":
|
| 54 |
-
"frac_reward_zero_std": 0.
|
| 55 |
-
"grad_norm": 0.
|
| 56 |
"learning_rate": 2.25e-06,
|
| 57 |
-
"loss": 0.
|
| 58 |
-
"num_tokens":
|
| 59 |
-
"reward": 0.
|
| 60 |
-
"reward_std": 0.
|
| 61 |
-
"rewards/reward_fn/mean": 0.
|
| 62 |
-
"rewards/reward_fn/std": 0.
|
| 63 |
"step": 10,
|
| 64 |
-
"step_time":
|
| 65 |
},
|
| 66 |
{
|
| 67 |
"clip_ratio/high_max": 0.0,
|
|
@@ -69,26 +69,26 @@
|
|
| 69 |
"clip_ratio/low_mean": 0.0,
|
| 70 |
"clip_ratio/low_min": 0.0,
|
| 71 |
"clip_ratio/region_mean": 0.0,
|
| 72 |
-
"completions/clipped_ratio": 0.
|
| 73 |
-
"completions/max_length":
|
| 74 |
-
"completions/max_terminated_length":
|
| 75 |
-
"completions/mean_length":
|
| 76 |
-
"completions/mean_terminated_length":
|
| 77 |
-
"completions/min_length":
|
| 78 |
-
"completions/min_terminated_length":
|
| 79 |
-
"entropy": 0.
|
| 80 |
-
"epoch":
|
| 81 |
-
"frac_reward_zero_std": 0.
|
| 82 |
-
"grad_norm": 0.
|
| 83 |
"learning_rate": 3.5e-06,
|
| 84 |
-
"loss":
|
| 85 |
-
"num_tokens":
|
| 86 |
-
"reward": 0.
|
| 87 |
-
"reward_std": 0.
|
| 88 |
-
"rewards/reward_fn/mean": 0.
|
| 89 |
-
"rewards/reward_fn/std": 0.
|
| 90 |
"step": 15,
|
| 91 |
-
"step_time":
|
| 92 |
},
|
| 93 |
{
|
| 94 |
"clip_ratio/high_max": 0.0,
|
|
@@ -96,26 +96,26 @@
|
|
| 96 |
"clip_ratio/low_mean": 0.0,
|
| 97 |
"clip_ratio/low_min": 0.0,
|
| 98 |
"clip_ratio/region_mean": 0.0,
|
| 99 |
-
"completions/clipped_ratio": 0.
|
| 100 |
-
"completions/max_length":
|
| 101 |
-
"completions/max_terminated_length":
|
| 102 |
-
"completions/mean_length":
|
| 103 |
-
"completions/mean_terminated_length":
|
| 104 |
-
"completions/min_length":
|
| 105 |
-
"completions/min_terminated_length":
|
| 106 |
-
"entropy": 0.
|
| 107 |
-
"epoch":
|
| 108 |
-
"frac_reward_zero_std": 0.
|
| 109 |
-
"grad_norm": 0.
|
| 110 |
"learning_rate": 4.75e-06,
|
| 111 |
-
"loss": 0.
|
| 112 |
-
"num_tokens":
|
| 113 |
-
"reward": 0.
|
| 114 |
-
"reward_std": 0.
|
| 115 |
-
"rewards/reward_fn/mean": 0.
|
| 116 |
-
"rewards/reward_fn/std": 0.
|
| 117 |
"step": 20,
|
| 118 |
-
"step_time":
|
| 119 |
},
|
| 120 |
{
|
| 121 |
"clip_ratio/high_max": 0.0,
|
|
@@ -123,26 +123,26 @@
|
|
| 123 |
"clip_ratio/low_mean": 0.0,
|
| 124 |
"clip_ratio/low_min": 0.0,
|
| 125 |
"clip_ratio/region_mean": 0.0,
|
| 126 |
-
"completions/clipped_ratio": 0.
|
| 127 |
-
"completions/max_length":
|
| 128 |
-
"completions/max_terminated_length":
|
| 129 |
-
"completions/mean_length":
|
| 130 |
-
"completions/mean_terminated_length":
|
| 131 |
-
"completions/min_length":
|
| 132 |
-
"completions/min_terminated_length":
|
| 133 |
-
"entropy": 0.
|
| 134 |
-
"epoch":
|
| 135 |
-
"frac_reward_zero_std": 0.
|
| 136 |
-
"grad_norm": 0.
|
| 137 |
-
"learning_rate": 4.
|
| 138 |
-
"loss":
|
| 139 |
-
"num_tokens":
|
| 140 |
-
"reward": 0.
|
| 141 |
-
"reward_std":
|
| 142 |
-
"rewards/reward_fn/mean": 0.
|
| 143 |
-
"rewards/reward_fn/std":
|
| 144 |
"step": 25,
|
| 145 |
-
"step_time":
|
| 146 |
},
|
| 147 |
{
|
| 148 |
"clip_ratio/high_max": 0.0,
|
|
@@ -150,26 +150,26 @@
|
|
| 150 |
"clip_ratio/low_mean": 0.0,
|
| 151 |
"clip_ratio/low_min": 0.0,
|
| 152 |
"clip_ratio/region_mean": 0.0,
|
| 153 |
-
"completions/clipped_ratio": 0.
|
| 154 |
-
"completions/max_length":
|
| 155 |
-
"completions/max_terminated_length":
|
| 156 |
-
"completions/mean_length":
|
| 157 |
-
"completions/mean_terminated_length":
|
| 158 |
-
"completions/min_length":
|
| 159 |
-
"completions/min_terminated_length":
|
| 160 |
-
"entropy": 0.
|
| 161 |
-
"epoch":
|
| 162 |
-
"frac_reward_zero_std": 0.
|
| 163 |
-
"grad_norm": 0.
|
| 164 |
-
"learning_rate": 4.
|
| 165 |
-
"loss": -0.
|
| 166 |
-
"num_tokens":
|
| 167 |
-
"reward": 0.
|
| 168 |
-
"reward_std": 0.
|
| 169 |
-
"rewards/reward_fn/mean": 0.
|
| 170 |
-
"rewards/reward_fn/std": 0.
|
| 171 |
"step": 30,
|
| 172 |
-
"step_time":
|
| 173 |
},
|
| 174 |
{
|
| 175 |
"clip_ratio/high_max": 0.0,
|
|
@@ -177,26 +177,26 @@
|
|
| 177 |
"clip_ratio/low_mean": 0.0,
|
| 178 |
"clip_ratio/low_min": 0.0,
|
| 179 |
"clip_ratio/region_mean": 0.0,
|
| 180 |
-
"completions/clipped_ratio": 0.
|
| 181 |
-
"completions/max_length":
|
| 182 |
-
"completions/max_terminated_length":
|
| 183 |
-
"completions/mean_length":
|
| 184 |
-
"completions/mean_terminated_length":
|
| 185 |
-
"completions/min_length":
|
| 186 |
-
"completions/min_terminated_length":
|
| 187 |
-
"entropy": 0.
|
| 188 |
-
"epoch":
|
| 189 |
-
"frac_reward_zero_std": 0.
|
| 190 |
-
"grad_norm": 0.
|
| 191 |
-
"learning_rate": 4.
|
| 192 |
-
"loss":
|
| 193 |
-
"num_tokens":
|
| 194 |
-
"reward": 0.
|
| 195 |
-
"reward_std": 0.
|
| 196 |
-
"rewards/reward_fn/mean": 0.
|
| 197 |
-
"rewards/reward_fn/std": 0.
|
| 198 |
"step": 35,
|
| 199 |
-
"step_time":
|
| 200 |
},
|
| 201 |
{
|
| 202 |
"clip_ratio/high_max": 0.0,
|
|
@@ -204,26 +204,26 @@
|
|
| 204 |
"clip_ratio/low_mean": 0.0,
|
| 205 |
"clip_ratio/low_min": 0.0,
|
| 206 |
"clip_ratio/region_mean": 0.0,
|
| 207 |
-
"completions/clipped_ratio": 0.
|
| 208 |
-
"completions/max_length":
|
| 209 |
-
"completions/max_terminated_length":
|
| 210 |
-
"completions/mean_length":
|
| 211 |
-
"completions/mean_terminated_length":
|
| 212 |
-
"completions/min_length":
|
| 213 |
-
"completions/min_terminated_length":
|
| 214 |
-
"entropy": 0.
|
| 215 |
-
"epoch":
|
| 216 |
-
"frac_reward_zero_std": 0.
|
| 217 |
-
"grad_norm": 0.
|
| 218 |
-
"learning_rate": 4.
|
| 219 |
-
"loss": 0.
|
| 220 |
-
"num_tokens":
|
| 221 |
-
"reward": 0.
|
| 222 |
-
"reward_std": 0.
|
| 223 |
-
"rewards/reward_fn/mean": 0.
|
| 224 |
-
"rewards/reward_fn/std": 0.
|
| 225 |
"step": 40,
|
| 226 |
-
"step_time":
|
| 227 |
},
|
| 228 |
{
|
| 229 |
"clip_ratio/high_max": 0.0,
|
|
@@ -231,26 +231,26 @@
|
|
| 231 |
"clip_ratio/low_mean": 0.0,
|
| 232 |
"clip_ratio/low_min": 0.0,
|
| 233 |
"clip_ratio/region_mean": 0.0,
|
| 234 |
-
"completions/clipped_ratio": 0.
|
| 235 |
-
"completions/max_length":
|
| 236 |
-
"completions/max_terminated_length":
|
| 237 |
-
"completions/mean_length":
|
| 238 |
-
"completions/mean_terminated_length":
|
| 239 |
-
"completions/min_length":
|
| 240 |
-
"completions/min_terminated_length":
|
| 241 |
-
"entropy": 0.
|
| 242 |
-
"epoch":
|
| 243 |
-
"frac_reward_zero_std": 0.
|
| 244 |
-
"grad_norm":
|
| 245 |
-
"learning_rate": 4.
|
| 246 |
-
"loss": -0.
|
| 247 |
-
"num_tokens":
|
| 248 |
-
"reward": 0.
|
| 249 |
-
"reward_std": 0.
|
| 250 |
-
"rewards/reward_fn/mean": 0.
|
| 251 |
-
"rewards/reward_fn/std": 0.
|
| 252 |
"step": 45,
|
| 253 |
-
"step_time":
|
| 254 |
},
|
| 255 |
{
|
| 256 |
"clip_ratio/high_max": 0.0,
|
|
@@ -258,26 +258,26 @@
|
|
| 258 |
"clip_ratio/low_mean": 0.0,
|
| 259 |
"clip_ratio/low_min": 0.0,
|
| 260 |
"clip_ratio/region_mean": 0.0,
|
| 261 |
-
"completions/clipped_ratio": 0.
|
| 262 |
-
"completions/max_length":
|
| 263 |
-
"completions/max_terminated_length":
|
| 264 |
-
"completions/mean_length":
|
| 265 |
-
"completions/mean_terminated_length":
|
| 266 |
-
"completions/min_length":
|
| 267 |
-
"completions/min_terminated_length":
|
| 268 |
-
"entropy": 0.
|
| 269 |
-
"epoch":
|
| 270 |
-
"frac_reward_zero_std": 0.
|
| 271 |
-
"grad_norm": 0.
|
| 272 |
-
"learning_rate": 4.
|
| 273 |
-
"loss":
|
| 274 |
-
"num_tokens":
|
| 275 |
-
"reward": 0.
|
| 276 |
-
"reward_std": 0.
|
| 277 |
-
"rewards/reward_fn/mean": 0.
|
| 278 |
-
"rewards/reward_fn/std": 0.
|
| 279 |
"step": 50,
|
| 280 |
-
"step_time":
|
| 281 |
},
|
| 282 |
{
|
| 283 |
"clip_ratio/high_max": 0.0,
|
|
@@ -285,26 +285,26 @@
|
|
| 285 |
"clip_ratio/low_mean": 0.0,
|
| 286 |
"clip_ratio/low_min": 0.0,
|
| 287 |
"clip_ratio/region_mean": 0.0,
|
| 288 |
-
"completions/clipped_ratio": 0.
|
| 289 |
-
"completions/max_length":
|
| 290 |
-
"completions/max_terminated_length":
|
| 291 |
-
"completions/mean_length":
|
| 292 |
-
"completions/mean_terminated_length":
|
| 293 |
-
"completions/min_length":
|
| 294 |
-
"completions/min_terminated_length":
|
| 295 |
-
"entropy": 0.
|
| 296 |
-
"epoch":
|
| 297 |
-
"frac_reward_zero_std": 0.
|
| 298 |
-
"grad_norm": 0.
|
| 299 |
-
"learning_rate": 4.
|
| 300 |
-
"loss":
|
| 301 |
-
"num_tokens":
|
| 302 |
-
"reward": 0.
|
| 303 |
-
"reward_std": 0.
|
| 304 |
-
"rewards/reward_fn/mean": 0.
|
| 305 |
-
"rewards/reward_fn/std": 0.
|
| 306 |
"step": 55,
|
| 307 |
-
"step_time":
|
| 308 |
},
|
| 309 |
{
|
| 310 |
"clip_ratio/high_max": 0.0,
|
|
@@ -312,26 +312,26 @@
|
|
| 312 |
"clip_ratio/low_mean": 0.0,
|
| 313 |
"clip_ratio/low_min": 0.0,
|
| 314 |
"clip_ratio/region_mean": 0.0,
|
| 315 |
-
"completions/clipped_ratio": 0.
|
| 316 |
-
"completions/max_length":
|
| 317 |
-
"completions/max_terminated_length":
|
| 318 |
-
"completions/mean_length":
|
| 319 |
-
"completions/mean_terminated_length":
|
| 320 |
-
"completions/min_length":
|
| 321 |
-
"completions/min_terminated_length":
|
| 322 |
-
"entropy": 0.
|
| 323 |
-
"epoch":
|
| 324 |
"frac_reward_zero_std": 0.5,
|
| 325 |
-
"grad_norm": 0.
|
| 326 |
-
"learning_rate": 4.
|
| 327 |
-
"loss":
|
| 328 |
-
"num_tokens":
|
| 329 |
-
"reward": 0.
|
| 330 |
-
"reward_std": 0.
|
| 331 |
-
"rewards/reward_fn/mean": 0.
|
| 332 |
-
"rewards/reward_fn/std": 0.
|
| 333 |
"step": 60,
|
| 334 |
-
"step_time":
|
| 335 |
},
|
| 336 |
{
|
| 337 |
"clip_ratio/high_max": 0.0,
|
|
@@ -339,26 +339,26 @@
|
|
| 339 |
"clip_ratio/low_mean": 0.0,
|
| 340 |
"clip_ratio/low_min": 0.0,
|
| 341 |
"clip_ratio/region_mean": 0.0,
|
| 342 |
-
"completions/clipped_ratio": 0.
|
| 343 |
-
"completions/max_length":
|
| 344 |
-
"completions/max_terminated_length":
|
| 345 |
-
"completions/mean_length":
|
| 346 |
-
"completions/mean_terminated_length":
|
| 347 |
-
"completions/min_length":
|
| 348 |
-
"completions/min_terminated_length":
|
| 349 |
-
"entropy": 0.
|
| 350 |
-
"epoch":
|
| 351 |
-
"frac_reward_zero_std": 0.
|
| 352 |
-
"grad_norm": 0.
|
| 353 |
-
"learning_rate": 4.
|
| 354 |
-
"loss": 0.
|
| 355 |
-
"num_tokens":
|
| 356 |
-
"reward": 0.
|
| 357 |
-
"reward_std": 0.
|
| 358 |
-
"rewards/reward_fn/mean": 0.
|
| 359 |
-
"rewards/reward_fn/std": 0.
|
| 360 |
"step": 65,
|
| 361 |
-
"step_time":
|
| 362 |
},
|
| 363 |
{
|
| 364 |
"clip_ratio/high_max": 0.0,
|
|
@@ -367,25 +367,25 @@
|
|
| 367 |
"clip_ratio/low_min": 0.0,
|
| 368 |
"clip_ratio/region_mean": 0.0,
|
| 369 |
"completions/clipped_ratio": 0.05,
|
| 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 |
-
"entropy": 0.
|
| 377 |
-
"epoch":
|
| 378 |
-
"frac_reward_zero_std": 0.
|
| 379 |
-
"grad_norm": 0.
|
| 380 |
-
"learning_rate": 4.
|
| 381 |
-
"loss":
|
| 382 |
-
"num_tokens":
|
| 383 |
-
"reward": 0.
|
| 384 |
-
"reward_std": 0.
|
| 385 |
-
"rewards/reward_fn/mean": 0.
|
| 386 |
-
"rewards/reward_fn/std": 0.
|
| 387 |
"step": 70,
|
| 388 |
-
"step_time":
|
| 389 |
},
|
| 390 |
{
|
| 391 |
"clip_ratio/high_max": 0.0,
|
|
@@ -393,26 +393,26 @@
|
|
| 393 |
"clip_ratio/low_mean": 0.0,
|
| 394 |
"clip_ratio/low_min": 0.0,
|
| 395 |
"clip_ratio/region_mean": 0.0,
|
| 396 |
-
"completions/clipped_ratio": 0.
|
| 397 |
-
"completions/max_length":
|
| 398 |
-
"completions/max_terminated_length":
|
| 399 |
-
"completions/mean_length":
|
| 400 |
-
"completions/mean_terminated_length":
|
| 401 |
-
"completions/min_length":
|
| 402 |
-
"completions/min_terminated_length":
|
| 403 |
-
"entropy": 0.
|
| 404 |
-
"epoch":
|
| 405 |
-
"frac_reward_zero_std": 0.
|
| 406 |
-
"grad_norm": 0.
|
| 407 |
-
"learning_rate": 4.
|
| 408 |
-
"loss": 0.
|
| 409 |
-
"num_tokens":
|
| 410 |
-
"reward": 0.
|
| 411 |
-
"reward_std": 0.
|
| 412 |
-
"rewards/reward_fn/mean": 0.
|
| 413 |
-
"rewards/reward_fn/std": 0.
|
| 414 |
"step": 75,
|
| 415 |
-
"step_time":
|
| 416 |
},
|
| 417 |
{
|
| 418 |
"clip_ratio/high_max": 0.0,
|
|
@@ -420,26 +420,26 @@
|
|
| 420 |
"clip_ratio/low_mean": 0.0,
|
| 421 |
"clip_ratio/low_min": 0.0,
|
| 422 |
"clip_ratio/region_mean": 0.0,
|
| 423 |
-
"completions/clipped_ratio": 0.
|
| 424 |
-
"completions/max_length":
|
| 425 |
-
"completions/max_terminated_length":
|
| 426 |
-
"completions/mean_length":
|
| 427 |
-
"completions/mean_terminated_length":
|
| 428 |
-
"completions/min_length":
|
| 429 |
-
"completions/min_terminated_length":
|
| 430 |
-
"entropy": 0.
|
| 431 |
-
"epoch":
|
| 432 |
-
"frac_reward_zero_std": 0.
|
| 433 |
-
"grad_norm": 0.
|
| 434 |
-
"learning_rate": 4.
|
| 435 |
-
"loss": 0.
|
| 436 |
-
"num_tokens":
|
| 437 |
-
"reward": 0.
|
| 438 |
-
"reward_std": 0.
|
| 439 |
-
"rewards/reward_fn/mean": 0.
|
| 440 |
-
"rewards/reward_fn/std": 0.
|
| 441 |
"step": 80,
|
| 442 |
-
"step_time":
|
| 443 |
},
|
| 444 |
{
|
| 445 |
"clip_ratio/high_max": 0.0,
|
|
@@ -447,26 +447,26 @@
|
|
| 447 |
"clip_ratio/low_mean": 0.0,
|
| 448 |
"clip_ratio/low_min": 0.0,
|
| 449 |
"clip_ratio/region_mean": 0.0,
|
| 450 |
-
"completions/clipped_ratio": 0.
|
| 451 |
-
"completions/max_length":
|
| 452 |
-
"completions/max_terminated_length":
|
| 453 |
-
"completions/mean_length":
|
| 454 |
-
"completions/mean_terminated_length":
|
| 455 |
-
"completions/min_length":
|
| 456 |
-
"completions/min_terminated_length":
|
| 457 |
-
"entropy": 0.
|
| 458 |
-
"epoch":
|
| 459 |
-
"frac_reward_zero_std": 0.
|
| 460 |
-
"grad_norm": 0.
|
| 461 |
-
"learning_rate": 4.
|
| 462 |
-
"loss":
|
| 463 |
-
"num_tokens":
|
| 464 |
-
"reward": 0.
|
| 465 |
-
"reward_std": 0.
|
| 466 |
-
"rewards/reward_fn/mean": 0.
|
| 467 |
-
"rewards/reward_fn/std": 0.
|
| 468 |
"step": 85,
|
| 469 |
-
"step_time":
|
| 470 |
},
|
| 471 |
{
|
| 472 |
"clip_ratio/high_max": 0.0,
|
|
@@ -474,26 +474,26 @@
|
|
| 474 |
"clip_ratio/low_mean": 0.0,
|
| 475 |
"clip_ratio/low_min": 0.0,
|
| 476 |
"clip_ratio/region_mean": 0.0,
|
| 477 |
-
"completions/clipped_ratio": 0.
|
| 478 |
-
"completions/max_length":
|
| 479 |
-
"completions/max_terminated_length":
|
| 480 |
-
"completions/mean_length":
|
| 481 |
-
"completions/mean_terminated_length":
|
| 482 |
-
"completions/min_length":
|
| 483 |
-
"completions/min_terminated_length":
|
| 484 |
-
"entropy": 0.
|
| 485 |
-
"epoch":
|
| 486 |
-
"frac_reward_zero_std": 0.
|
| 487 |
-
"grad_norm": 0.
|
| 488 |
-
"learning_rate": 4.
|
| 489 |
-
"loss": 0.
|
| 490 |
-
"num_tokens":
|
| 491 |
-
"reward": 0.
|
| 492 |
-
"reward_std": 0.
|
| 493 |
-
"rewards/reward_fn/mean": 0.
|
| 494 |
-
"rewards/reward_fn/std": 0.
|
| 495 |
"step": 90,
|
| 496 |
-
"step_time":
|
| 497 |
},
|
| 498 |
{
|
| 499 |
"clip_ratio/high_max": 0.0,
|
|
@@ -501,26 +501,26 @@
|
|
| 501 |
"clip_ratio/low_mean": 0.0,
|
| 502 |
"clip_ratio/low_min": 0.0,
|
| 503 |
"clip_ratio/region_mean": 0.0,
|
| 504 |
-
"completions/clipped_ratio": 0.
|
| 505 |
-
"completions/max_length":
|
| 506 |
-
"completions/max_terminated_length":
|
| 507 |
-
"completions/mean_length":
|
| 508 |
-
"completions/mean_terminated_length":
|
| 509 |
-
"completions/min_length":
|
| 510 |
-
"completions/min_terminated_length":
|
| 511 |
-
"entropy": 0.
|
| 512 |
-
"epoch":
|
| 513 |
-
"frac_reward_zero_std": 0.
|
| 514 |
-
"grad_norm": 0.
|
| 515 |
-
"learning_rate": 4.
|
| 516 |
-
"loss":
|
| 517 |
-
"num_tokens":
|
| 518 |
-
"reward": 0.
|
| 519 |
-
"reward_std": 0.
|
| 520 |
-
"rewards/reward_fn/mean": 0.
|
| 521 |
-
"rewards/reward_fn/std": 0.
|
| 522 |
"step": 95,
|
| 523 |
-
"step_time":
|
| 524 |
},
|
| 525 |
{
|
| 526 |
"clip_ratio/high_max": 0.0,
|
|
@@ -528,26 +528,26 @@
|
|
| 528 |
"clip_ratio/low_mean": 0.0,
|
| 529 |
"clip_ratio/low_min": 0.0,
|
| 530 |
"clip_ratio/region_mean": 0.0,
|
| 531 |
-
"completions/clipped_ratio": 0.
|
| 532 |
-
"completions/max_length":
|
| 533 |
-
"completions/max_terminated_length":
|
| 534 |
-
"completions/mean_length":
|
| 535 |
-
"completions/mean_terminated_length":
|
| 536 |
-
"completions/min_length":
|
| 537 |
-
"completions/min_terminated_length":
|
| 538 |
-
"entropy": 0.
|
| 539 |
-
"epoch":
|
| 540 |
-
"frac_reward_zero_std": 0.
|
| 541 |
-
"grad_norm": 0.
|
| 542 |
-
"learning_rate": 4.
|
| 543 |
-
"loss": 0.
|
| 544 |
-
"num_tokens":
|
| 545 |
-
"reward": 0.
|
| 546 |
-
"reward_std": 0.
|
| 547 |
-
"rewards/reward_fn/mean": 0.
|
| 548 |
-
"rewards/reward_fn/std": 0.
|
| 549 |
"step": 100,
|
| 550 |
-
"step_time":
|
| 551 |
},
|
| 552 |
{
|
| 553 |
"clip_ratio/high_max": 0.0,
|
|
@@ -555,26 +555,26 @@
|
|
| 555 |
"clip_ratio/low_mean": 0.0,
|
| 556 |
"clip_ratio/low_min": 0.0,
|
| 557 |
"clip_ratio/region_mean": 0.0,
|
| 558 |
-
"completions/clipped_ratio": 0.
|
| 559 |
-
"completions/max_length":
|
| 560 |
-
"completions/max_terminated_length":
|
| 561 |
-
"completions/mean_length":
|
| 562 |
-
"completions/mean_terminated_length":
|
| 563 |
-
"completions/min_length":
|
| 564 |
-
"completions/min_terminated_length":
|
| 565 |
-
"entropy": 0.
|
| 566 |
-
"epoch":
|
| 567 |
"frac_reward_zero_std": 0.6,
|
| 568 |
-
"grad_norm": 0.
|
| 569 |
-
"learning_rate": 4.
|
| 570 |
-
"loss": 0.
|
| 571 |
-
"num_tokens":
|
| 572 |
-
"reward": 0.
|
| 573 |
-
"reward_std": 0.
|
| 574 |
-
"rewards/reward_fn/mean": 0.
|
| 575 |
-
"rewards/reward_fn/std": 0.
|
| 576 |
"step": 105,
|
| 577 |
-
"step_time":
|
| 578 |
},
|
| 579 |
{
|
| 580 |
"clip_ratio/high_max": 0.0,
|
|
@@ -582,26 +582,26 @@
|
|
| 582 |
"clip_ratio/low_mean": 0.0,
|
| 583 |
"clip_ratio/low_min": 0.0,
|
| 584 |
"clip_ratio/region_mean": 0.0,
|
| 585 |
-
"completions/clipped_ratio": 0.
|
| 586 |
-
"completions/max_length":
|
| 587 |
-
"completions/max_terminated_length":
|
| 588 |
-
"completions/mean_length":
|
| 589 |
-
"completions/mean_terminated_length":
|
| 590 |
-
"completions/min_length":
|
| 591 |
-
"completions/min_terminated_length":
|
| 592 |
-
"entropy": 0.
|
| 593 |
-
"epoch":
|
| 594 |
-
"frac_reward_zero_std": 0.
|
| 595 |
-
"grad_norm": 0.
|
| 596 |
-
"learning_rate": 4.
|
| 597 |
-
"loss":
|
| 598 |
-
"num_tokens":
|
| 599 |
-
"reward": 0.
|
| 600 |
-
"reward_std": 0.
|
| 601 |
-
"rewards/reward_fn/mean": 0.
|
| 602 |
-
"rewards/reward_fn/std": 0.
|
| 603 |
"step": 110,
|
| 604 |
-
"step_time":
|
| 605 |
},
|
| 606 |
{
|
| 607 |
"clip_ratio/high_max": 0.0,
|
|
@@ -609,26 +609,26 @@
|
|
| 609 |
"clip_ratio/low_mean": 0.0,
|
| 610 |
"clip_ratio/low_min": 0.0,
|
| 611 |
"clip_ratio/region_mean": 0.0,
|
| 612 |
-
"completions/clipped_ratio": 0.
|
| 613 |
-
"completions/max_length":
|
| 614 |
-
"completions/max_terminated_length":
|
| 615 |
-
"completions/mean_length":
|
| 616 |
-
"completions/mean_terminated_length":
|
| 617 |
-
"completions/min_length":
|
| 618 |
-
"completions/min_terminated_length":
|
| 619 |
-
"entropy": 0.
|
| 620 |
-
"epoch":
|
| 621 |
-
"frac_reward_zero_std": 0.
|
| 622 |
-
"grad_norm": 0.
|
| 623 |
-
"learning_rate": 4.
|
| 624 |
-
"loss":
|
| 625 |
-
"num_tokens":
|
| 626 |
-
"reward": 0.
|
| 627 |
-
"reward_std": 0.
|
| 628 |
-
"rewards/reward_fn/mean": 0.
|
| 629 |
-
"rewards/reward_fn/std": 0.
|
| 630 |
"step": 115,
|
| 631 |
-
"step_time":
|
| 632 |
},
|
| 633 |
{
|
| 634 |
"clip_ratio/high_max": 0.0,
|
|
@@ -636,26 +636,26 @@
|
|
| 636 |
"clip_ratio/low_mean": 0.0,
|
| 637 |
"clip_ratio/low_min": 0.0,
|
| 638 |
"clip_ratio/region_mean": 0.0,
|
| 639 |
-
"completions/clipped_ratio": 0.
|
| 640 |
-
"completions/max_length":
|
| 641 |
-
"completions/max_terminated_length":
|
| 642 |
-
"completions/mean_length":
|
| 643 |
-
"completions/mean_terminated_length":
|
| 644 |
-
"completions/min_length":
|
| 645 |
-
"completions/min_terminated_length":
|
| 646 |
-
"entropy": 0.
|
| 647 |
-
"epoch":
|
| 648 |
-
"frac_reward_zero_std": 0.
|
| 649 |
-
"grad_norm":
|
| 650 |
-
"learning_rate": 4.
|
| 651 |
-
"loss": 0.
|
| 652 |
-
"num_tokens":
|
| 653 |
-
"reward": 0.
|
| 654 |
-
"reward_std": 0.
|
| 655 |
-
"rewards/reward_fn/mean": 0.
|
| 656 |
-
"rewards/reward_fn/std": 0.
|
| 657 |
"step": 120,
|
| 658 |
-
"step_time":
|
| 659 |
},
|
| 660 |
{
|
| 661 |
"clip_ratio/high_max": 0.0,
|
|
@@ -663,26 +663,26 @@
|
|
| 663 |
"clip_ratio/low_mean": 0.0,
|
| 664 |
"clip_ratio/low_min": 0.0,
|
| 665 |
"clip_ratio/region_mean": 0.0,
|
| 666 |
-
"completions/clipped_ratio": 0.
|
| 667 |
-
"completions/max_length":
|
| 668 |
-
"completions/max_terminated_length":
|
| 669 |
-
"completions/mean_length":
|
| 670 |
-
"completions/mean_terminated_length":
|
| 671 |
-
"completions/min_length":
|
| 672 |
-
"completions/min_terminated_length":
|
| 673 |
-
"entropy": 0.
|
| 674 |
-
"epoch":
|
| 675 |
-
"frac_reward_zero_std": 0.
|
| 676 |
-
"grad_norm":
|
| 677 |
-
"learning_rate": 4.
|
| 678 |
-
"loss": 0.
|
| 679 |
-
"num_tokens":
|
| 680 |
-
"reward": 0.
|
| 681 |
-
"reward_std": 0.
|
| 682 |
-
"rewards/reward_fn/mean": 0.
|
| 683 |
-
"rewards/reward_fn/std": 0.
|
| 684 |
"step": 125,
|
| 685 |
-
"step_time":
|
| 686 |
},
|
| 687 |
{
|
| 688 |
"clip_ratio/high_max": 0.0,
|
|
@@ -690,26 +690,26 @@
|
|
| 690 |
"clip_ratio/low_mean": 0.0,
|
| 691 |
"clip_ratio/low_min": 0.0,
|
| 692 |
"clip_ratio/region_mean": 0.0,
|
| 693 |
-
"completions/clipped_ratio": 0.
|
| 694 |
-
"completions/max_length":
|
| 695 |
-
"completions/max_terminated_length":
|
| 696 |
-
"completions/mean_length":
|
| 697 |
-
"completions/mean_terminated_length":
|
| 698 |
-
"completions/min_length":
|
| 699 |
-
"completions/min_terminated_length":
|
| 700 |
-
"entropy": 0.
|
| 701 |
-
"epoch":
|
| 702 |
-
"frac_reward_zero_std": 0.
|
| 703 |
-
"grad_norm": 0.
|
| 704 |
-
"learning_rate": 4.
|
| 705 |
-
"loss": 0.
|
| 706 |
-
"num_tokens":
|
| 707 |
-
"reward": 0.
|
| 708 |
-
"reward_std": 0.
|
| 709 |
-
"rewards/reward_fn/mean": 0.
|
| 710 |
-
"rewards/reward_fn/std": 0.
|
| 711 |
"step": 130,
|
| 712 |
-
"step_time":
|
| 713 |
},
|
| 714 |
{
|
| 715 |
"clip_ratio/high_max": 0.0,
|
|
@@ -718,25 +718,25 @@
|
|
| 718 |
"clip_ratio/low_min": 0.0,
|
| 719 |
"clip_ratio/region_mean": 0.0,
|
| 720 |
"completions/clipped_ratio": 0.0,
|
| 721 |
-
"completions/max_length":
|
| 722 |
-
"completions/max_terminated_length":
|
| 723 |
-
"completions/mean_length":
|
| 724 |
-
"completions/mean_terminated_length":
|
| 725 |
-
"completions/min_length":
|
| 726 |
-
"completions/min_terminated_length":
|
| 727 |
-
"entropy": 0.
|
| 728 |
-
"epoch":
|
| 729 |
-
"frac_reward_zero_std": 0.
|
| 730 |
-
"grad_norm": 0.
|
| 731 |
-
"learning_rate": 4.
|
| 732 |
-
"loss": 0.
|
| 733 |
-
"num_tokens":
|
| 734 |
-
"reward": 0.
|
| 735 |
-
"reward_std": 0.
|
| 736 |
-
"rewards/reward_fn/mean": 0.
|
| 737 |
-
"rewards/reward_fn/std": 0.
|
| 738 |
"step": 135,
|
| 739 |
-
"step_time":
|
| 740 |
},
|
| 741 |
{
|
| 742 |
"clip_ratio/high_max": 0.0,
|
|
@@ -744,26 +744,26 @@
|
|
| 744 |
"clip_ratio/low_mean": 0.0,
|
| 745 |
"clip_ratio/low_min": 0.0,
|
| 746 |
"clip_ratio/region_mean": 0.0,
|
| 747 |
-
"completions/clipped_ratio": 0.
|
| 748 |
-
"completions/max_length":
|
| 749 |
-
"completions/max_terminated_length":
|
| 750 |
-
"completions/mean_length":
|
| 751 |
-
"completions/mean_terminated_length":
|
| 752 |
-
"completions/min_length":
|
| 753 |
-
"completions/min_terminated_length":
|
| 754 |
-
"entropy": 0.
|
| 755 |
-
"epoch":
|
| 756 |
-
"frac_reward_zero_std": 0.
|
| 757 |
-
"grad_norm": 0.
|
| 758 |
-
"learning_rate":
|
| 759 |
-
"loss": 0.
|
| 760 |
-
"num_tokens":
|
| 761 |
-
"reward": 0.
|
| 762 |
-
"reward_std": 0.
|
| 763 |
-
"rewards/reward_fn/mean": 0.
|
| 764 |
-
"rewards/reward_fn/std": 0.
|
| 765 |
"step": 140,
|
| 766 |
-
"step_time":
|
| 767 |
},
|
| 768 |
{
|
| 769 |
"clip_ratio/high_max": 0.0,
|
|
@@ -771,26 +771,26 @@
|
|
| 771 |
"clip_ratio/low_mean": 0.0,
|
| 772 |
"clip_ratio/low_min": 0.0,
|
| 773 |
"clip_ratio/region_mean": 0.0,
|
| 774 |
-
"completions/clipped_ratio": 0.
|
| 775 |
-
"completions/max_length":
|
| 776 |
-
"completions/max_terminated_length":
|
| 777 |
-
"completions/mean_length":
|
| 778 |
-
"completions/mean_terminated_length":
|
| 779 |
-
"completions/min_length":
|
| 780 |
-
"completions/min_terminated_length":
|
| 781 |
-
"entropy": 0.
|
| 782 |
-
"epoch":
|
| 783 |
-
"frac_reward_zero_std": 0.
|
| 784 |
-
"grad_norm": 0.
|
| 785 |
-
"learning_rate":
|
| 786 |
-
"loss":
|
| 787 |
-
"num_tokens":
|
| 788 |
-
"reward": 0.
|
| 789 |
-
"reward_std": 0.
|
| 790 |
-
"rewards/reward_fn/mean": 0.
|
| 791 |
-
"rewards/reward_fn/std": 0.
|
| 792 |
"step": 145,
|
| 793 |
-
"step_time": 27.
|
| 794 |
},
|
| 795 |
{
|
| 796 |
"clip_ratio/high_max": 0.0,
|
|
@@ -799,31 +799,31 @@
|
|
| 799 |
"clip_ratio/low_min": 0.0,
|
| 800 |
"clip_ratio/region_mean": 0.0,
|
| 801 |
"completions/clipped_ratio": 0.05,
|
| 802 |
-
"completions/max_length":
|
| 803 |
-
"completions/max_terminated_length":
|
| 804 |
-
"completions/mean_length":
|
| 805 |
-
"completions/mean_terminated_length":
|
| 806 |
-
"completions/min_length":
|
| 807 |
-
"completions/min_terminated_length":
|
| 808 |
-
"entropy": 0.
|
| 809 |
-
"epoch":
|
| 810 |
-
"frac_reward_zero_std": 0.
|
| 811 |
-
"grad_norm": 0.
|
| 812 |
-
"learning_rate":
|
| 813 |
-
"loss":
|
| 814 |
-
"num_tokens":
|
| 815 |
-
"reward": 0.
|
| 816 |
-
"reward_std": 0.
|
| 817 |
-
"rewards/reward_fn/mean": 0.
|
| 818 |
-
"rewards/reward_fn/std": 0.
|
| 819 |
"step": 150,
|
| 820 |
-
"step_time":
|
| 821 |
}
|
| 822 |
],
|
| 823 |
"logging_steps": 5,
|
| 824 |
-
"max_steps":
|
| 825 |
-
"num_input_tokens_seen":
|
| 826 |
-
"num_train_epochs":
|
| 827 |
"save_steps": 50,
|
| 828 |
"stateful_callbacks": {
|
| 829 |
"TrainerControl": {
|
|
|
|
| 2 |
"best_global_step": null,
|
| 3 |
"best_metric": null,
|
| 4 |
"best_model_checkpoint": null,
|
| 5 |
+
"epoch": 75.0,
|
| 6 |
"eval_steps": 500,
|
| 7 |
"global_step": 150,
|
| 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": 0.1,
|
| 19 |
+
"completions/max_length": 193.0,
|
| 20 |
+
"completions/max_terminated_length": 163.0,
|
| 21 |
+
"completions/mean_length": 103.975,
|
| 22 |
+
"completions/mean_terminated_length": 90.39881134033203,
|
| 23 |
+
"completions/min_length": 17.6,
|
| 24 |
+
"completions/min_terminated_length": 17.6,
|
| 25 |
+
"entropy": 0.1820149033330381,
|
| 26 |
+
"epoch": 2.5,
|
| 27 |
+
"frac_reward_zero_std": 0.5,
|
| 28 |
+
"grad_norm": 0.25,
|
| 29 |
"learning_rate": 1.0000000000000002e-06,
|
| 30 |
+
"loss": 0.0794088900089264,
|
| 31 |
+
"num_tokens": 14355.0,
|
| 32 |
+
"reward": 0.15020800828933717,
|
| 33 |
+
"reward_std": 0.6376187483081595,
|
| 34 |
+
"rewards/reward_fn/mean": 0.15020800828933717,
|
| 35 |
+
"rewards/reward_fn/std": 0.6376187764341011,
|
| 36 |
"step": 5,
|
| 37 |
+
"step_time": 30.522303848797673
|
| 38 |
},
|
| 39 |
{
|
| 40 |
"clip_ratio/high_max": 0.0,
|
|
|
|
| 42 |
"clip_ratio/low_mean": 0.0,
|
| 43 |
"clip_ratio/low_min": 0.0,
|
| 44 |
"clip_ratio/region_mean": 0.0,
|
| 45 |
+
"completions/clipped_ratio": 0.025,
|
| 46 |
+
"completions/max_length": 151.2,
|
| 47 |
+
"completions/max_terminated_length": 141.6,
|
| 48 |
+
"completions/mean_length": 80.075,
|
| 49 |
+
"completions/mean_terminated_length": 77.78928833007812,
|
| 50 |
+
"completions/min_length": 17.8,
|
| 51 |
+
"completions/min_terminated_length": 17.8,
|
| 52 |
+
"entropy": 0.16221200795844198,
|
| 53 |
+
"epoch": 5.0,
|
| 54 |
+
"frac_reward_zero_std": 0.5,
|
| 55 |
+
"grad_norm": 0.228515625,
|
| 56 |
"learning_rate": 2.25e-06,
|
| 57 |
+
"loss": 0.07169516086578369,
|
| 58 |
+
"num_tokens": 27462.0,
|
| 59 |
+
"reward": 0.4012819856405258,
|
| 60 |
+
"reward_std": 0.4128362699819263,
|
| 61 |
+
"rewards/reward_fn/mean": 0.4012819856405258,
|
| 62 |
+
"rewards/reward_fn/std": 0.4128363010211615,
|
| 63 |
"step": 10,
|
| 64 |
+
"step_time": 25.01976956339822
|
| 65 |
},
|
| 66 |
{
|
| 67 |
"clip_ratio/high_max": 0.0,
|
|
|
|
| 69 |
"clip_ratio/low_mean": 0.0,
|
| 70 |
"clip_ratio/low_min": 0.0,
|
| 71 |
"clip_ratio/region_mean": 0.0,
|
| 72 |
+
"completions/clipped_ratio": 0.025,
|
| 73 |
+
"completions/max_length": 185.6,
|
| 74 |
+
"completions/max_terminated_length": 171.6,
|
| 75 |
+
"completions/mean_length": 83.65,
|
| 76 |
+
"completions/mean_terminated_length": 79.14285736083984,
|
| 77 |
+
"completions/min_length": 16.6,
|
| 78 |
+
"completions/min_terminated_length": 16.6,
|
| 79 |
+
"entropy": 0.14225535104051232,
|
| 80 |
+
"epoch": 7.5,
|
| 81 |
+
"frac_reward_zero_std": 0.3,
|
| 82 |
+
"grad_norm": 0.265625,
|
| 83 |
"learning_rate": 3.5e-06,
|
| 84 |
+
"loss": 0.0717179834842682,
|
| 85 |
+
"num_tokens": 40740.0,
|
| 86 |
+
"reward": 0.10207997858524323,
|
| 87 |
+
"reward_std": 0.7454913818277419,
|
| 88 |
+
"rewards/reward_fn/mean": 0.10207997858524323,
|
| 89 |
+
"rewards/reward_fn/std": 0.7454914333298802,
|
| 90 |
"step": 15,
|
| 91 |
+
"step_time": 29.626422570000432
|
| 92 |
},
|
| 93 |
{
|
| 94 |
"clip_ratio/high_max": 0.0,
|
|
|
|
| 96 |
"clip_ratio/low_mean": 0.0,
|
| 97 |
"clip_ratio/low_min": 0.0,
|
| 98 |
"clip_ratio/region_mean": 0.0,
|
| 99 |
+
"completions/clipped_ratio": 0.1,
|
| 100 |
+
"completions/max_length": 202.0,
|
| 101 |
+
"completions/max_terminated_length": 163.0,
|
| 102 |
+
"completions/mean_length": 98.85,
|
| 103 |
+
"completions/mean_terminated_length": 81.79285888671875,
|
| 104 |
+
"completions/min_length": 19.2,
|
| 105 |
+
"completions/min_terminated_length": 19.2,
|
| 106 |
+
"entropy": 0.1534867493668571,
|
| 107 |
+
"epoch": 10.0,
|
| 108 |
+
"frac_reward_zero_std": 0.4,
|
| 109 |
+
"grad_norm": 0.2431640625,
|
| 110 |
"learning_rate": 4.75e-06,
|
| 111 |
+
"loss": 0.09726614952087402,
|
| 112 |
+
"num_tokens": 54862.0,
|
| 113 |
+
"reward": 0.25181599259376525,
|
| 114 |
+
"reward_std": 0.6045640033902601,
|
| 115 |
+
"rewards/reward_fn/mean": 0.25181599259376525,
|
| 116 |
+
"rewards/reward_fn/std": 0.6045640454394743,
|
| 117 |
"step": 20,
|
| 118 |
+
"step_time": 31.625062462999267
|
| 119 |
},
|
| 120 |
{
|
| 121 |
"clip_ratio/high_max": 0.0,
|
|
|
|
| 123 |
"clip_ratio/low_mean": 0.0,
|
| 124 |
"clip_ratio/low_min": 0.0,
|
| 125 |
"clip_ratio/region_mean": 0.0,
|
| 126 |
+
"completions/clipped_ratio": 0.125,
|
| 127 |
+
"completions/max_length": 233.6,
|
| 128 |
+
"completions/max_terminated_length": 194.4,
|
| 129 |
+
"completions/mean_length": 99.525,
|
| 130 |
+
"completions/mean_terminated_length": 77.78690643310547,
|
| 131 |
+
"completions/min_length": 18.8,
|
| 132 |
+
"completions/min_terminated_length": 18.8,
|
| 133 |
+
"entropy": 0.1538564210291952,
|
| 134 |
+
"epoch": 12.5,
|
| 135 |
+
"frac_reward_zero_std": 0.6,
|
| 136 |
+
"grad_norm": 0.0,
|
| 137 |
+
"learning_rate": 4.981481481481482e-06,
|
| 138 |
+
"loss": 0.13929661512374877,
|
| 139 |
+
"num_tokens": 69039.0,
|
| 140 |
+
"reward": 0.0006859898567199707,
|
| 141 |
+
"reward_std": 1.0108385920524596,
|
| 142 |
+
"rewards/reward_fn/mean": 0.0006859898567199707,
|
| 143 |
+
"rewards/reward_fn/std": 1.0108386158943177,
|
| 144 |
"step": 25,
|
| 145 |
+
"step_time": 35.65783783460065
|
| 146 |
},
|
| 147 |
{
|
| 148 |
"clip_ratio/high_max": 0.0,
|
|
|
|
| 150 |
"clip_ratio/low_mean": 0.0,
|
| 151 |
"clip_ratio/low_min": 0.0,
|
| 152 |
"clip_ratio/region_mean": 0.0,
|
| 153 |
+
"completions/clipped_ratio": 0.05,
|
| 154 |
+
"completions/max_length": 181.8,
|
| 155 |
+
"completions/max_terminated_length": 153.0,
|
| 156 |
+
"completions/mean_length": 65.05,
|
| 157 |
+
"completions/mean_terminated_length": 56.03928680419922,
|
| 158 |
+
"completions/min_length": 16.6,
|
| 159 |
+
"completions/min_terminated_length": 16.6,
|
| 160 |
+
"entropy": 0.13224927680566906,
|
| 161 |
+
"epoch": 15.0,
|
| 162 |
+
"frac_reward_zero_std": 0.5,
|
| 163 |
+
"grad_norm": 0.1875,
|
| 164 |
+
"learning_rate": 4.958333333333334e-06,
|
| 165 |
+
"loss": -0.003383058309555054,
|
| 166 |
+
"num_tokens": 81545.0,
|
| 167 |
+
"reward": 0.3994179755449295,
|
| 168 |
+
"reward_std": 0.5622525057464373,
|
| 169 |
+
"rewards/reward_fn/mean": 0.3994179755449295,
|
| 170 |
+
"rewards/reward_fn/std": 0.56225254482124,
|
| 171 |
"step": 30,
|
| 172 |
+
"step_time": 29.112151033400732
|
| 173 |
},
|
| 174 |
{
|
| 175 |
"clip_ratio/high_max": 0.0,
|
|
|
|
| 177 |
"clip_ratio/low_mean": 0.0,
|
| 178 |
"clip_ratio/low_min": 0.0,
|
| 179 |
"clip_ratio/region_mean": 0.0,
|
| 180 |
+
"completions/clipped_ratio": 0.05,
|
| 181 |
+
"completions/max_length": 131.0,
|
| 182 |
+
"completions/max_terminated_length": 128.6,
|
| 183 |
+
"completions/mean_length": 61.075,
|
| 184 |
+
"completions/mean_terminated_length": 53.282144165039064,
|
| 185 |
+
"completions/min_length": 17.6,
|
| 186 |
+
"completions/min_terminated_length": 17.6,
|
| 187 |
+
"entropy": 0.11974610288161784,
|
| 188 |
+
"epoch": 17.5,
|
| 189 |
+
"frac_reward_zero_std": 0.7,
|
| 190 |
+
"grad_norm": 0.220703125,
|
| 191 |
+
"learning_rate": 4.935185185185186e-06,
|
| 192 |
+
"loss": 0.004663025587797165,
|
| 193 |
+
"num_tokens": 93892.0,
|
| 194 |
+
"reward": 0.3469119846820831,
|
| 195 |
+
"reward_std": 0.5775202971824911,
|
| 196 |
+
"rewards/reward_fn/mean": 0.3469119846820831,
|
| 197 |
+
"rewards/reward_fn/std": 0.5775203009106917,
|
| 198 |
"step": 35,
|
| 199 |
+
"step_time": 22.457519923200017
|
| 200 |
},
|
| 201 |
{
|
| 202 |
"clip_ratio/high_max": 0.0,
|
|
|
|
| 204 |
"clip_ratio/low_mean": 0.0,
|
| 205 |
"clip_ratio/low_min": 0.0,
|
| 206 |
"clip_ratio/region_mean": 0.0,
|
| 207 |
+
"completions/clipped_ratio": 0.075,
|
| 208 |
+
"completions/max_length": 179.6,
|
| 209 |
+
"completions/max_terminated_length": 131.2,
|
| 210 |
+
"completions/mean_length": 78.025,
|
| 211 |
+
"completions/mean_terminated_length": 65.70357513427734,
|
| 212 |
+
"completions/min_length": 19.0,
|
| 213 |
+
"completions/min_terminated_length": 19.0,
|
| 214 |
+
"entropy": 0.12550681543070824,
|
| 215 |
+
"epoch": 20.0,
|
| 216 |
+
"frac_reward_zero_std": 0.4,
|
| 217 |
+
"grad_norm": 0.4609375,
|
| 218 |
+
"learning_rate": 4.9120370370370375e-06,
|
| 219 |
+
"loss": 0.036792796850204465,
|
| 220 |
+
"num_tokens": 107209.0,
|
| 221 |
+
"reward": 0.3498039901256561,
|
| 222 |
+
"reward_std": 0.7408117946935817,
|
| 223 |
+
"rewards/reward_fn/mean": 0.3498039901256561,
|
| 224 |
+
"rewards/reward_fn/std": 0.7408118456369266,
|
| 225 |
"step": 40,
|
| 226 |
+
"step_time": 28.692756705999635
|
| 227 |
},
|
| 228 |
{
|
| 229 |
"clip_ratio/high_max": 0.0,
|
|
|
|
| 231 |
"clip_ratio/low_mean": 0.0,
|
| 232 |
"clip_ratio/low_min": 0.0,
|
| 233 |
"clip_ratio/region_mean": 0.0,
|
| 234 |
+
"completions/clipped_ratio": 0.025,
|
| 235 |
+
"completions/max_length": 189.0,
|
| 236 |
+
"completions/max_terminated_length": 178.8,
|
| 237 |
+
"completions/mean_length": 92.675,
|
| 238 |
+
"completions/mean_terminated_length": 89.51071472167969,
|
| 239 |
+
"completions/min_length": 17.8,
|
| 240 |
+
"completions/min_terminated_length": 17.8,
|
| 241 |
+
"entropy": 0.15165529411751777,
|
| 242 |
+
"epoch": 22.5,
|
| 243 |
+
"frac_reward_zero_std": 0.5,
|
| 244 |
+
"grad_norm": 0.232421875,
|
| 245 |
+
"learning_rate": 4.888888888888889e-06,
|
| 246 |
+
"loss": -0.004727205634117127,
|
| 247 |
+
"num_tokens": 120868.0,
|
| 248 |
+
"reward": 0.30072798430919645,
|
| 249 |
+
"reward_std": 0.7614144545921591,
|
| 250 |
+
"rewards/reward_fn/mean": 0.30072798430919645,
|
| 251 |
+
"rewards/reward_fn/std": 0.7614145380415721,
|
| 252 |
"step": 45,
|
| 253 |
+
"step_time": 30.053675796201425
|
| 254 |
},
|
| 255 |
{
|
| 256 |
"clip_ratio/high_max": 0.0,
|
|
|
|
| 258 |
"clip_ratio/low_mean": 0.0,
|
| 259 |
"clip_ratio/low_min": 0.0,
|
| 260 |
"clip_ratio/region_mean": 0.0,
|
| 261 |
+
"completions/clipped_ratio": 0.075,
|
| 262 |
+
"completions/max_length": 208.6,
|
| 263 |
+
"completions/max_terminated_length": 189.6,
|
| 264 |
+
"completions/mean_length": 102.625,
|
| 265 |
+
"completions/mean_terminated_length": 90.11666870117188,
|
| 266 |
+
"completions/min_length": 18.8,
|
| 267 |
+
"completions/min_terminated_length": 18.8,
|
| 268 |
+
"entropy": 0.15195838457439095,
|
| 269 |
+
"epoch": 25.0,
|
| 270 |
+
"frac_reward_zero_std": 0.6,
|
| 271 |
+
"grad_norm": 0.208984375,
|
| 272 |
+
"learning_rate": 4.865740740740741e-06,
|
| 273 |
+
"loss": 0.04500017166137695,
|
| 274 |
+
"num_tokens": 135121.0,
|
| 275 |
+
"reward": 0.5009119868278503,
|
| 276 |
+
"reward_std": 0.5213470441231038,
|
| 277 |
+
"rewards/reward_fn/mean": 0.5009119868278503,
|
| 278 |
+
"rewards/reward_fn/std": 0.5213470560469432,
|
| 279 |
"step": 50,
|
| 280 |
+
"step_time": 32.55890014459801
|
| 281 |
},
|
| 282 |
{
|
| 283 |
"clip_ratio/high_max": 0.0,
|
|
|
|
| 285 |
"clip_ratio/low_mean": 0.0,
|
| 286 |
"clip_ratio/low_min": 0.0,
|
| 287 |
"clip_ratio/region_mean": 0.0,
|
| 288 |
+
"completions/clipped_ratio": 0.025,
|
| 289 |
+
"completions/max_length": 195.4,
|
| 290 |
+
"completions/max_terminated_length": 188.4,
|
| 291 |
+
"completions/mean_length": 110.95,
|
| 292 |
+
"completions/mean_terminated_length": 106.75357208251953,
|
| 293 |
+
"completions/min_length": 51.8,
|
| 294 |
+
"completions/min_terminated_length": 51.8,
|
| 295 |
+
"entropy": 0.1545537636615336,
|
| 296 |
+
"epoch": 27.5,
|
| 297 |
+
"frac_reward_zero_std": 0.5,
|
| 298 |
+
"grad_norm": 0.1201171875,
|
| 299 |
+
"learning_rate": 4.842592592592593e-06,
|
| 300 |
+
"loss": 0.04118683934211731,
|
| 301 |
+
"num_tokens": 149755.0,
|
| 302 |
+
"reward": 0.40073599219322203,
|
| 303 |
+
"reward_std": 0.6958227735885885,
|
| 304 |
+
"rewards/reward_fn/mean": 0.40073599219322203,
|
| 305 |
+
"rewards/reward_fn/std": 0.6958228093542858,
|
| 306 |
"step": 55,
|
| 307 |
+
"step_time": 30.86228356460051
|
| 308 |
},
|
| 309 |
{
|
| 310 |
"clip_ratio/high_max": 0.0,
|
|
|
|
| 312 |
"clip_ratio/low_mean": 0.0,
|
| 313 |
"clip_ratio/low_min": 0.0,
|
| 314 |
"clip_ratio/region_mean": 0.0,
|
| 315 |
+
"completions/clipped_ratio": 0.075,
|
| 316 |
+
"completions/max_length": 172.8,
|
| 317 |
+
"completions/max_terminated_length": 147.2,
|
| 318 |
+
"completions/mean_length": 91.875,
|
| 319 |
+
"completions/mean_terminated_length": 81.20119171142578,
|
| 320 |
+
"completions/min_length": 32.8,
|
| 321 |
+
"completions/min_terminated_length": 32.8,
|
| 322 |
+
"entropy": 0.14326929268427194,
|
| 323 |
+
"epoch": 30.0,
|
| 324 |
"frac_reward_zero_std": 0.5,
|
| 325 |
+
"grad_norm": 0.318359375,
|
| 326 |
+
"learning_rate": 4.819444444444445e-06,
|
| 327 |
+
"loss": 0.06774483323097229,
|
| 328 |
+
"num_tokens": 163334.0,
|
| 329 |
+
"reward": 0.5998779892921448,
|
| 330 |
+
"reward_std": 0.3705297726322897,
|
| 331 |
+
"rewards/reward_fn/mean": 0.5998779892921448,
|
| 332 |
+
"rewards/reward_fn/std": 0.3705297749955207,
|
| 333 |
"step": 60,
|
| 334 |
+
"step_time": 27.902300025800287
|
| 335 |
},
|
| 336 |
{
|
| 337 |
"clip_ratio/high_max": 0.0,
|
|
|
|
| 339 |
"clip_ratio/low_mean": 0.0,
|
| 340 |
"clip_ratio/low_min": 0.0,
|
| 341 |
"clip_ratio/region_mean": 0.0,
|
| 342 |
+
"completions/clipped_ratio": 0.025,
|
| 343 |
+
"completions/max_length": 152.4,
|
| 344 |
+
"completions/max_terminated_length": 147.6,
|
| 345 |
+
"completions/mean_length": 81.625,
|
| 346 |
+
"completions/mean_terminated_length": 78.91071472167968,
|
| 347 |
+
"completions/min_length": 33.0,
|
| 348 |
+
"completions/min_terminated_length": 33.0,
|
| 349 |
+
"entropy": 0.15796504009049386,
|
| 350 |
+
"epoch": 32.5,
|
| 351 |
+
"frac_reward_zero_std": 0.6,
|
| 352 |
+
"grad_norm": 0.0,
|
| 353 |
+
"learning_rate": 4.796296296296297e-06,
|
| 354 |
+
"loss": -0.008640621602535248,
|
| 355 |
+
"num_tokens": 176503.0,
|
| 356 |
+
"reward": 0.45116598904132843,
|
| 357 |
+
"reward_std": 0.4201629768765997,
|
| 358 |
+
"rewards/reward_fn/mean": 0.45116598904132843,
|
| 359 |
+
"rewards/reward_fn/std": 0.42016300329414663,
|
| 360 |
"step": 65,
|
| 361 |
+
"step_time": 25.321657606401278
|
| 362 |
},
|
| 363 |
{
|
| 364 |
"clip_ratio/high_max": 0.0,
|
|
|
|
| 367 |
"clip_ratio/low_min": 0.0,
|
| 368 |
"clip_ratio/region_mean": 0.0,
|
| 369 |
"completions/clipped_ratio": 0.05,
|
| 370 |
+
"completions/max_length": 197.6,
|
| 371 |
+
"completions/max_terminated_length": 183.2,
|
| 372 |
+
"completions/mean_length": 114.3,
|
| 373 |
+
"completions/mean_terminated_length": 109.30833435058594,
|
| 374 |
+
"completions/min_length": 50.0,
|
| 375 |
+
"completions/min_terminated_length": 50.0,
|
| 376 |
+
"entropy": 0.16214836928993465,
|
| 377 |
+
"epoch": 35.0,
|
| 378 |
+
"frac_reward_zero_std": 0.5,
|
| 379 |
+
"grad_norm": 0.0,
|
| 380 |
+
"learning_rate": 4.7731481481481484e-06,
|
| 381 |
+
"loss": 0.007857038080692292,
|
| 382 |
+
"num_tokens": 191271.0,
|
| 383 |
+
"reward": 0.29932799339294436,
|
| 384 |
+
"reward_std": 0.6332858696579933,
|
| 385 |
+
"rewards/reward_fn/mean": 0.29932799339294436,
|
| 386 |
+
"rewards/reward_fn/std": 0.6332858689129353,
|
| 387 |
"step": 70,
|
| 388 |
+
"step_time": 31.062436907000667
|
| 389 |
},
|
| 390 |
{
|
| 391 |
"clip_ratio/high_max": 0.0,
|
|
|
|
| 393 |
"clip_ratio/low_mean": 0.0,
|
| 394 |
"clip_ratio/low_min": 0.0,
|
| 395 |
"clip_ratio/region_mean": 0.0,
|
| 396 |
+
"completions/clipped_ratio": 0.05,
|
| 397 |
+
"completions/max_length": 179.4,
|
| 398 |
+
"completions/max_terminated_length": 173.2,
|
| 399 |
+
"completions/mean_length": 81.875,
|
| 400 |
+
"completions/mean_terminated_length": 72.65,
|
| 401 |
+
"completions/min_length": 16.0,
|
| 402 |
+
"completions/min_terminated_length": 16.0,
|
| 403 |
+
"entropy": 0.1165547446347773,
|
| 404 |
+
"epoch": 37.5,
|
| 405 |
+
"frac_reward_zero_std": 0.5,
|
| 406 |
+
"grad_norm": 0.4609375,
|
| 407 |
+
"learning_rate": 4.75e-06,
|
| 408 |
+
"loss": 0.015596307814121246,
|
| 409 |
+
"num_tokens": 204450.0,
|
| 410 |
+
"reward": 0.5023359954357147,
|
| 411 |
+
"reward_std": 0.39528531452669996,
|
| 412 |
+
"rewards/reward_fn/mean": 0.5023359954357147,
|
| 413 |
+
"rewards/reward_fn/std": 0.3952853078444605,
|
| 414 |
"step": 75,
|
| 415 |
+
"step_time": 28.755046762000347
|
| 416 |
},
|
| 417 |
{
|
| 418 |
"clip_ratio/high_max": 0.0,
|
|
|
|
| 420 |
"clip_ratio/low_mean": 0.0,
|
| 421 |
"clip_ratio/low_min": 0.0,
|
| 422 |
"clip_ratio/region_mean": 0.0,
|
| 423 |
+
"completions/clipped_ratio": 0.05,
|
| 424 |
+
"completions/max_length": 204.4,
|
| 425 |
+
"completions/max_terminated_length": 181.4,
|
| 426 |
+
"completions/mean_length": 111.05,
|
| 427 |
+
"completions/mean_terminated_length": 104.30357208251954,
|
| 428 |
+
"completions/min_length": 44.6,
|
| 429 |
+
"completions/min_terminated_length": 44.6,
|
| 430 |
+
"entropy": 0.13618089363444597,
|
| 431 |
+
"epoch": 40.0,
|
| 432 |
+
"frac_reward_zero_std": 0.6,
|
| 433 |
+
"grad_norm": 0.140625,
|
| 434 |
+
"learning_rate": 4.726851851851852e-06,
|
| 435 |
+
"loss": 0.043748298287391664,
|
| 436 |
+
"num_tokens": 219088.0,
|
| 437 |
+
"reward": 0.3999840050935745,
|
| 438 |
+
"reward_std": 0.5622952695033746,
|
| 439 |
+
"rewards/reward_fn/mean": 0.3999840050935745,
|
| 440 |
+
"rewards/reward_fn/std": 0.5622952873265603,
|
| 441 |
"step": 80,
|
| 442 |
+
"step_time": 31.989889109399883
|
| 443 |
},
|
| 444 |
{
|
| 445 |
"clip_ratio/high_max": 0.0,
|
|
|
|
| 447 |
"clip_ratio/low_mean": 0.0,
|
| 448 |
"clip_ratio/low_min": 0.0,
|
| 449 |
"clip_ratio/region_mean": 0.0,
|
| 450 |
+
"completions/clipped_ratio": 0.025,
|
| 451 |
+
"completions/max_length": 191.4,
|
| 452 |
+
"completions/max_terminated_length": 186.4,
|
| 453 |
+
"completions/mean_length": 104.1,
|
| 454 |
+
"completions/mean_terminated_length": 100.05000152587891,
|
| 455 |
+
"completions/min_length": 39.0,
|
| 456 |
+
"completions/min_terminated_length": 39.0,
|
| 457 |
+
"entropy": 0.17853650995530188,
|
| 458 |
+
"epoch": 42.5,
|
| 459 |
+
"frac_reward_zero_std": 0.5,
|
| 460 |
+
"grad_norm": 0.1875,
|
| 461 |
+
"learning_rate": 4.703703703703704e-06,
|
| 462 |
+
"loss": 0.02743053436279297,
|
| 463 |
+
"num_tokens": 233420.0,
|
| 464 |
+
"reward": 0.44984598755836486,
|
| 465 |
+
"reward_std": 0.5406898662215098,
|
| 466 |
+
"rewards/reward_fn/mean": 0.44984598755836486,
|
| 467 |
+
"rewards/reward_fn/std": 0.5406898936373181,
|
| 468 |
"step": 85,
|
| 469 |
+
"step_time": 30.449153596599718
|
| 470 |
},
|
| 471 |
{
|
| 472 |
"clip_ratio/high_max": 0.0,
|
|
|
|
| 474 |
"clip_ratio/low_mean": 0.0,
|
| 475 |
"clip_ratio/low_min": 0.0,
|
| 476 |
"clip_ratio/region_mean": 0.0,
|
| 477 |
+
"completions/clipped_ratio": 0.075,
|
| 478 |
+
"completions/max_length": 200.6,
|
| 479 |
+
"completions/max_terminated_length": 186.6,
|
| 480 |
+
"completions/mean_length": 103.875,
|
| 481 |
+
"completions/mean_terminated_length": 88.48499984741211,
|
| 482 |
+
"completions/min_length": 31.2,
|
| 483 |
+
"completions/min_terminated_length": 31.2,
|
| 484 |
+
"entropy": 0.12900277911685407,
|
| 485 |
+
"epoch": 45.0,
|
| 486 |
+
"frac_reward_zero_std": 0.6,
|
| 487 |
+
"grad_norm": 0.2314453125,
|
| 488 |
+
"learning_rate": 4.680555555555556e-06,
|
| 489 |
+
"loss": 0.05115030407905578,
|
| 490 |
+
"num_tokens": 247507.0,
|
| 491 |
+
"reward": 0.5499680012464523,
|
| 492 |
+
"reward_std": 0.39219149924028895,
|
| 493 |
+
"rewards/reward_fn/mean": 0.5499680012464523,
|
| 494 |
+
"rewards/reward_fn/std": 0.3921915319937398,
|
| 495 |
"step": 90,
|
| 496 |
+
"step_time": 31.51559891059951
|
| 497 |
},
|
| 498 |
{
|
| 499 |
"clip_ratio/high_max": 0.0,
|
|
|
|
| 501 |
"clip_ratio/low_mean": 0.0,
|
| 502 |
"clip_ratio/low_min": 0.0,
|
| 503 |
"clip_ratio/region_mean": 0.0,
|
| 504 |
+
"completions/clipped_ratio": 0.025,
|
| 505 |
+
"completions/max_length": 180.8,
|
| 506 |
+
"completions/max_terminated_length": 167.4,
|
| 507 |
+
"completions/mean_length": 103.05,
|
| 508 |
+
"completions/mean_terminated_length": 99.05000152587891,
|
| 509 |
+
"completions/min_length": 44.6,
|
| 510 |
+
"completions/min_terminated_length": 44.6,
|
| 511 |
+
"entropy": 0.12843654905445873,
|
| 512 |
+
"epoch": 47.5,
|
| 513 |
+
"frac_reward_zero_std": 0.5,
|
| 514 |
+
"grad_norm": 0.099609375,
|
| 515 |
+
"learning_rate": 4.6574074074074076e-06,
|
| 516 |
+
"loss": 0.043516650795936584,
|
| 517 |
+
"num_tokens": 261825.0,
|
| 518 |
+
"reward": 0.4511160016059875,
|
| 519 |
+
"reward_std": 0.6716319680213928,
|
| 520 |
+
"rewards/reward_fn/mean": 0.4511160016059875,
|
| 521 |
+
"rewards/reward_fn/std": 0.6716320037841796,
|
| 522 |
"step": 95,
|
| 523 |
+
"step_time": 28.928432848399826
|
| 524 |
},
|
| 525 |
{
|
| 526 |
"clip_ratio/high_max": 0.0,
|
|
|
|
| 528 |
"clip_ratio/low_mean": 0.0,
|
| 529 |
"clip_ratio/low_min": 0.0,
|
| 530 |
"clip_ratio/region_mean": 0.0,
|
| 531 |
+
"completions/clipped_ratio": 0.025,
|
| 532 |
+
"completions/max_length": 157.0,
|
| 533 |
+
"completions/max_terminated_length": 151.8,
|
| 534 |
+
"completions/mean_length": 84.425,
|
| 535 |
+
"completions/mean_terminated_length": 80.66428680419922,
|
| 536 |
+
"completions/min_length": 35.8,
|
| 537 |
+
"completions/min_terminated_length": 35.8,
|
| 538 |
+
"entropy": 0.13799221392255276,
|
| 539 |
+
"epoch": 50.0,
|
| 540 |
+
"frac_reward_zero_std": 0.5,
|
| 541 |
+
"grad_norm": 0.154296875,
|
| 542 |
+
"learning_rate": 4.634259259259259e-06,
|
| 543 |
+
"loss": -0.0032827585935592653,
|
| 544 |
+
"num_tokens": 275106.0,
|
| 545 |
+
"reward": 0.5485600084066391,
|
| 546 |
+
"reward_std": 0.39775218120921635,
|
| 547 |
+
"rewards/reward_fn/mean": 0.5485600084066391,
|
| 548 |
+
"rewards/reward_fn/std": 0.3977522020417382,
|
| 549 |
"step": 100,
|
| 550 |
+
"step_time": 25.882849212799556
|
| 551 |
},
|
| 552 |
{
|
| 553 |
"clip_ratio/high_max": 0.0,
|
|
|
|
| 555 |
"clip_ratio/low_mean": 0.0,
|
| 556 |
"clip_ratio/low_min": 0.0,
|
| 557 |
"clip_ratio/region_mean": 0.0,
|
| 558 |
+
"completions/clipped_ratio": 0.025,
|
| 559 |
+
"completions/max_length": 182.2,
|
| 560 |
+
"completions/max_terminated_length": 174.8,
|
| 561 |
+
"completions/mean_length": 100.925,
|
| 562 |
+
"completions/mean_terminated_length": 96.83928680419922,
|
| 563 |
+
"completions/min_length": 40.4,
|
| 564 |
+
"completions/min_terminated_length": 40.4,
|
| 565 |
+
"entropy": 0.12651287836488337,
|
| 566 |
+
"epoch": 52.5,
|
| 567 |
"frac_reward_zero_std": 0.6,
|
| 568 |
+
"grad_norm": 0.0,
|
| 569 |
+
"learning_rate": 4.611111111111112e-06,
|
| 570 |
+
"loss": -0.008606845140457153,
|
| 571 |
+
"num_tokens": 289075.0,
|
| 572 |
+
"reward": 0.5499760001897812,
|
| 573 |
+
"reward_std": 0.3922359466421767,
|
| 574 |
+
"rewards/reward_fn/mean": 0.5499760001897812,
|
| 575 |
+
"rewards/reward_fn/std": 0.39223596563824686,
|
| 576 |
"step": 105,
|
| 577 |
+
"step_time": 29.0759426169996
|
| 578 |
},
|
| 579 |
{
|
| 580 |
"clip_ratio/high_max": 0.0,
|
|
|
|
| 582 |
"clip_ratio/low_mean": 0.0,
|
| 583 |
"clip_ratio/low_min": 0.0,
|
| 584 |
"clip_ratio/region_mean": 0.0,
|
| 585 |
+
"completions/clipped_ratio": 0.05,
|
| 586 |
+
"completions/max_length": 194.0,
|
| 587 |
+
"completions/max_terminated_length": 169.0,
|
| 588 |
+
"completions/mean_length": 104.525,
|
| 589 |
+
"completions/mean_terminated_length": 98.08214416503907,
|
| 590 |
+
"completions/min_length": 43.2,
|
| 591 |
+
"completions/min_terminated_length": 43.2,
|
| 592 |
+
"entropy": 0.16052292285021394,
|
| 593 |
+
"epoch": 55.0,
|
| 594 |
+
"frac_reward_zero_std": 0.6,
|
| 595 |
+
"grad_norm": 0.0,
|
| 596 |
+
"learning_rate": 4.587962962962964e-06,
|
| 597 |
+
"loss": 0.022305211424827574,
|
| 598 |
+
"num_tokens": 303424.0,
|
| 599 |
+
"reward": 0.5999760001897811,
|
| 600 |
+
"reward_std": 0.34845718718279384,
|
| 601 |
+
"rewards/reward_fn/mean": 0.5999760001897811,
|
| 602 |
+
"rewards/reward_fn/std": 0.3484572199362447,
|
| 603 |
"step": 110,
|
| 604 |
+
"step_time": 30.576252812399254
|
| 605 |
},
|
| 606 |
{
|
| 607 |
"clip_ratio/high_max": 0.0,
|
|
|
|
| 609 |
"clip_ratio/low_mean": 0.0,
|
| 610 |
"clip_ratio/low_min": 0.0,
|
| 611 |
"clip_ratio/region_mean": 0.0,
|
| 612 |
+
"completions/clipped_ratio": 0.05,
|
| 613 |
+
"completions/max_length": 186.2,
|
| 614 |
+
"completions/max_terminated_length": 170.0,
|
| 615 |
+
"completions/mean_length": 107.275,
|
| 616 |
+
"completions/mean_terminated_length": 97.70833435058594,
|
| 617 |
+
"completions/min_length": 42.2,
|
| 618 |
+
"completions/min_terminated_length": 42.2,
|
| 619 |
+
"entropy": 0.16247000750154256,
|
| 620 |
+
"epoch": 57.5,
|
| 621 |
+
"frac_reward_zero_std": 0.9,
|
| 622 |
+
"grad_norm": 0.0,
|
| 623 |
+
"learning_rate": 4.564814814814815e-06,
|
| 624 |
+
"loss": 0.036947214603424074,
|
| 625 |
+
"num_tokens": 317863.0,
|
| 626 |
+
"reward": 0.700000011920929,
|
| 627 |
+
"reward_std": 0.1851640224456787,
|
| 628 |
+
"rewards/reward_fn/mean": 0.700000011920929,
|
| 629 |
+
"rewards/reward_fn/std": 0.1851640224456787,
|
| 630 |
"step": 115,
|
| 631 |
+
"step_time": 29.630989668599433
|
| 632 |
},
|
| 633 |
{
|
| 634 |
"clip_ratio/high_max": 0.0,
|
|
|
|
| 636 |
"clip_ratio/low_mean": 0.0,
|
| 637 |
"clip_ratio/low_min": 0.0,
|
| 638 |
"clip_ratio/region_mean": 0.0,
|
| 639 |
+
"completions/clipped_ratio": 0.05,
|
| 640 |
+
"completions/max_length": 202.0,
|
| 641 |
+
"completions/max_terminated_length": 183.2,
|
| 642 |
+
"completions/mean_length": 106.1,
|
| 643 |
+
"completions/mean_terminated_length": 99.70714416503907,
|
| 644 |
+
"completions/min_length": 40.8,
|
| 645 |
+
"completions/min_terminated_length": 40.8,
|
| 646 |
+
"entropy": 0.15718324964400382,
|
| 647 |
+
"epoch": 60.0,
|
| 648 |
+
"frac_reward_zero_std": 0.7,
|
| 649 |
+
"grad_norm": 0.0,
|
| 650 |
+
"learning_rate": 4.541666666666667e-06,
|
| 651 |
+
"loss": 0.04491000473499298,
|
| 652 |
+
"num_tokens": 332059.0,
|
| 653 |
+
"reward": 0.2999920010566711,
|
| 654 |
+
"reward_std": 0.6278709468911984,
|
| 655 |
+
"rewards/reward_fn/mean": 0.2999920010566711,
|
| 656 |
+
"rewards/reward_fn/std": 0.6278709915655781,
|
| 657 |
"step": 120,
|
| 658 |
+
"step_time": 31.635853910601874
|
| 659 |
},
|
| 660 |
{
|
| 661 |
"clip_ratio/high_max": 0.0,
|
|
|
|
| 663 |
"clip_ratio/low_mean": 0.0,
|
| 664 |
"clip_ratio/low_min": 0.0,
|
| 665 |
"clip_ratio/region_mean": 0.0,
|
| 666 |
+
"completions/clipped_ratio": 0.0,
|
| 667 |
+
"completions/max_length": 170.6,
|
| 668 |
+
"completions/max_terminated_length": 170.6,
|
| 669 |
+
"completions/mean_length": 94.575,
|
| 670 |
+
"completions/mean_terminated_length": 94.575,
|
| 671 |
+
"completions/min_length": 42.0,
|
| 672 |
+
"completions/min_terminated_length": 42.0,
|
| 673 |
+
"entropy": 0.10850867056287825,
|
| 674 |
+
"epoch": 62.5,
|
| 675 |
+
"frac_reward_zero_std": 0.8,
|
| 676 |
+
"grad_norm": 0.0,
|
| 677 |
+
"learning_rate": 4.5185185185185185e-06,
|
| 678 |
+
"loss": 0.024337136745452882,
|
| 679 |
+
"num_tokens": 345990.0,
|
| 680 |
+
"reward": 0.6500000119209289,
|
| 681 |
+
"reward_std": 0.3265853762626648,
|
| 682 |
+
"rewards/reward_fn/mean": 0.6500000119209289,
|
| 683 |
+
"rewards/reward_fn/std": 0.3265853762626648,
|
| 684 |
"step": 125,
|
| 685 |
+
"step_time": 27.550983037801416
|
| 686 |
},
|
| 687 |
{
|
| 688 |
"clip_ratio/high_max": 0.0,
|
|
|
|
| 690 |
"clip_ratio/low_mean": 0.0,
|
| 691 |
"clip_ratio/low_min": 0.0,
|
| 692 |
"clip_ratio/region_mean": 0.0,
|
| 693 |
+
"completions/clipped_ratio": 0.075,
|
| 694 |
+
"completions/max_length": 201.8,
|
| 695 |
+
"completions/max_terminated_length": 187.0,
|
| 696 |
+
"completions/mean_length": 99.25,
|
| 697 |
+
"completions/mean_terminated_length": 84.59642944335937,
|
| 698 |
+
"completions/min_length": 18.0,
|
| 699 |
+
"completions/min_terminated_length": 18.0,
|
| 700 |
+
"entropy": 0.12130871089175344,
|
| 701 |
+
"epoch": 65.0,
|
| 702 |
+
"frac_reward_zero_std": 0.8,
|
| 703 |
+
"grad_norm": 0.0,
|
| 704 |
+
"learning_rate": 4.49537037037037e-06,
|
| 705 |
+
"loss": 0.018311865627765656,
|
| 706 |
+
"num_tokens": 359912.0,
|
| 707 |
+
"reward": 0.6000000089406967,
|
| 708 |
+
"reward_std": 0.34844101667404176,
|
| 709 |
+
"rewards/reward_fn/mean": 0.6000000089406967,
|
| 710 |
+
"rewards/reward_fn/std": 0.34844104051589964,
|
| 711 |
"step": 130,
|
| 712 |
+
"step_time": 31.70451795959889
|
| 713 |
},
|
| 714 |
{
|
| 715 |
"clip_ratio/high_max": 0.0,
|
|
|
|
| 718 |
"clip_ratio/low_min": 0.0,
|
| 719 |
"clip_ratio/region_mean": 0.0,
|
| 720 |
"completions/clipped_ratio": 0.0,
|
| 721 |
+
"completions/max_length": 162.6,
|
| 722 |
+
"completions/max_terminated_length": 162.6,
|
| 723 |
+
"completions/mean_length": 89.825,
|
| 724 |
+
"completions/mean_terminated_length": 89.825,
|
| 725 |
+
"completions/min_length": 43.0,
|
| 726 |
+
"completions/min_terminated_length": 43.0,
|
| 727 |
+
"entropy": 0.11614590694662183,
|
| 728 |
+
"epoch": 67.5,
|
| 729 |
+
"frac_reward_zero_std": 0.7,
|
| 730 |
+
"grad_norm": 0.1982421875,
|
| 731 |
+
"learning_rate": 4.472222222222223e-06,
|
| 732 |
+
"loss": 0.019238683581352233,
|
| 733 |
+
"num_tokens": 373457.0,
|
| 734 |
+
"reward": 0.5999920129776001,
|
| 735 |
+
"reward_std": 0.3703506765436032,
|
| 736 |
+
"rewards/reward_fn/mean": 0.5999920129776001,
|
| 737 |
+
"rewards/reward_fn/std": 0.3703506735342671,
|
| 738 |
"step": 135,
|
| 739 |
+
"step_time": 26.545528039799684
|
| 740 |
},
|
| 741 |
{
|
| 742 |
"clip_ratio/high_max": 0.0,
|
|
|
|
| 744 |
"clip_ratio/low_mean": 0.0,
|
| 745 |
"clip_ratio/low_min": 0.0,
|
| 746 |
"clip_ratio/region_mean": 0.0,
|
| 747 |
+
"completions/clipped_ratio": 0.075,
|
| 748 |
+
"completions/max_length": 205.4,
|
| 749 |
+
"completions/max_terminated_length": 165.4,
|
| 750 |
+
"completions/mean_length": 99.4,
|
| 751 |
+
"completions/mean_terminated_length": 87.00476379394532,
|
| 752 |
+
"completions/min_length": 19.4,
|
| 753 |
+
"completions/min_terminated_length": 19.4,
|
| 754 |
+
"entropy": 0.1428308295784518,
|
| 755 |
+
"epoch": 70.0,
|
| 756 |
+
"frac_reward_zero_std": 0.7,
|
| 757 |
+
"grad_norm": 0.0,
|
| 758 |
+
"learning_rate": 4.449074074074075e-06,
|
| 759 |
+
"loss": 0.04644445776939392,
|
| 760 |
+
"num_tokens": 387581.0,
|
| 761 |
+
"reward": 0.5499920099973679,
|
| 762 |
+
"reward_std": 0.39217875003814695,
|
| 763 |
+
"rewards/reward_fn/mean": 0.5499920099973679,
|
| 764 |
+
"rewards/reward_fn/std": 0.39217878580093385,
|
| 765 |
"step": 140,
|
| 766 |
+
"step_time": 32.013767499400274
|
| 767 |
},
|
| 768 |
{
|
| 769 |
"clip_ratio/high_max": 0.0,
|
|
|
|
| 771 |
"clip_ratio/low_mean": 0.0,
|
| 772 |
"clip_ratio/low_min": 0.0,
|
| 773 |
"clip_ratio/region_mean": 0.0,
|
| 774 |
+
"completions/clipped_ratio": 0.0,
|
| 775 |
+
"completions/max_length": 171.8,
|
| 776 |
+
"completions/max_terminated_length": 171.8,
|
| 777 |
+
"completions/mean_length": 97.65,
|
| 778 |
+
"completions/mean_terminated_length": 97.65,
|
| 779 |
+
"completions/min_length": 28.8,
|
| 780 |
+
"completions/min_terminated_length": 28.8,
|
| 781 |
+
"entropy": 0.13889142961706966,
|
| 782 |
+
"epoch": 72.5,
|
| 783 |
+
"frac_reward_zero_std": 0.6,
|
| 784 |
+
"grad_norm": 0.2197265625,
|
| 785 |
+
"learning_rate": 4.425925925925927e-06,
|
| 786 |
+
"loss": 0.021968120336532594,
|
| 787 |
+
"num_tokens": 401439.0,
|
| 788 |
+
"reward": 0.6477920055389405,
|
| 789 |
+
"reward_std": 0.4305092230439186,
|
| 790 |
+
"rewards/reward_fn/mean": 0.6477920055389405,
|
| 791 |
+
"rewards/reward_fn/std": 0.4305092342197895,
|
| 792 |
"step": 145,
|
| 793 |
+
"step_time": 27.826696390995494
|
| 794 |
},
|
| 795 |
{
|
| 796 |
"clip_ratio/high_max": 0.0,
|
|
|
|
| 799 |
"clip_ratio/low_min": 0.0,
|
| 800 |
"clip_ratio/region_mean": 0.0,
|
| 801 |
"completions/clipped_ratio": 0.05,
|
| 802 |
+
"completions/max_length": 211.0,
|
| 803 |
+
"completions/max_terminated_length": 199.4,
|
| 804 |
+
"completions/mean_length": 110.125,
|
| 805 |
+
"completions/mean_terminated_length": 102.15714416503906,
|
| 806 |
+
"completions/min_length": 36.6,
|
| 807 |
+
"completions/min_terminated_length": 36.6,
|
| 808 |
+
"entropy": 0.17309838379733264,
|
| 809 |
+
"epoch": 75.0,
|
| 810 |
+
"frac_reward_zero_std": 0.7,
|
| 811 |
+
"grad_norm": 0.216796875,
|
| 812 |
+
"learning_rate": 4.4027777777777784e-06,
|
| 813 |
+
"loss": 0.0743155837059021,
|
| 814 |
+
"num_tokens": 415992.0,
|
| 815 |
+
"reward": 0.6007840156555175,
|
| 816 |
+
"reward_std": 0.3688644051551819,
|
| 817 |
+
"rewards/reward_fn/mean": 0.6007840156555175,
|
| 818 |
+
"rewards/reward_fn/std": 0.3688644051551819,
|
| 819 |
"step": 150,
|
| 820 |
+
"step_time": 32.79056119860106
|
| 821 |
}
|
| 822 |
],
|
| 823 |
"logging_steps": 5,
|
| 824 |
+
"max_steps": 1100,
|
| 825 |
+
"num_input_tokens_seen": 415992,
|
| 826 |
+
"num_train_epochs": 550,
|
| 827 |
"save_steps": 50,
|
| 828 |
"stateful_callbacks": {
|
| 829 |
"TrainerControl": {
|
checkpoint-150/training_args.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 7185
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:354b92cb3fc579afc26aea1b098796649abd9be8f2b683beb58a14a6bab0c7d4
|
| 3 |
size 7185
|