Upload task output 1
Browse files- loss.txt +1 -1
- model.safetensors +1 -1
- trainer_state.json +396 -185
- training_args.bin +1 -1
loss.txt
CHANGED
|
@@ -1 +1 @@
|
|
| 1 |
-
|
|
|
|
| 1 |
+
438,0.00994242262095213
|
model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 2200119864
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:37a84856799837fe6d91a0c0f26fae5a0ad6c183ae5bd17edf654d66771d55a6
|
| 3 |
size 2200119864
|
trainer_state.json
CHANGED
|
@@ -2,434 +2,645 @@
|
|
| 2 |
"best_global_step": null,
|
| 3 |
"best_metric": null,
|
| 4 |
"best_model_checkpoint": null,
|
| 5 |
-
"epoch":
|
| 6 |
"eval_steps": 500,
|
| 7 |
-
"global_step":
|
| 8 |
"is_hyper_param_search": false,
|
| 9 |
"is_local_process_zero": true,
|
| 10 |
"is_world_process_zero": true,
|
| 11 |
"log_history": [
|
| 12 |
{
|
| 13 |
"epoch": 0.034013605442176874,
|
| 14 |
-
"grad_norm":
|
| 15 |
-
"learning_rate":
|
| 16 |
-
"loss":
|
| 17 |
"step": 5
|
| 18 |
},
|
| 19 |
{
|
| 20 |
"epoch": 0.06802721088435375,
|
| 21 |
-
"grad_norm":
|
| 22 |
-
"learning_rate":
|
| 23 |
-
"loss":
|
| 24 |
"step": 10
|
| 25 |
},
|
| 26 |
{
|
| 27 |
"epoch": 0.10204081632653061,
|
| 28 |
-
"grad_norm":
|
| 29 |
-
"learning_rate":
|
| 30 |
-
"loss":
|
| 31 |
"step": 15
|
| 32 |
},
|
| 33 |
{
|
| 34 |
"epoch": 0.1360544217687075,
|
| 35 |
-
"grad_norm": 0.
|
| 36 |
-
"learning_rate":
|
| 37 |
-
"loss":
|
| 38 |
"step": 20
|
| 39 |
},
|
| 40 |
{
|
| 41 |
"epoch": 0.17006802721088435,
|
| 42 |
-
"grad_norm":
|
| 43 |
-
"learning_rate":
|
| 44 |
-
"loss": 0.
|
| 45 |
"step": 25
|
| 46 |
},
|
| 47 |
{
|
| 48 |
"epoch": 0.20408163265306123,
|
| 49 |
-
"grad_norm": 0.
|
| 50 |
-
"learning_rate":
|
| 51 |
-
"loss": 0.
|
| 52 |
"step": 30
|
| 53 |
},
|
| 54 |
{
|
| 55 |
"epoch": 0.23809523809523808,
|
| 56 |
-
"grad_norm":
|
| 57 |
-
"learning_rate":
|
| 58 |
-
"loss":
|
| 59 |
"step": 35
|
| 60 |
},
|
| 61 |
{
|
| 62 |
"epoch": 0.272108843537415,
|
| 63 |
-
"grad_norm":
|
| 64 |
-
"learning_rate":
|
| 65 |
-
"loss":
|
| 66 |
"step": 40
|
| 67 |
},
|
| 68 |
{
|
| 69 |
"epoch": 0.30612244897959184,
|
| 70 |
-
"grad_norm":
|
| 71 |
-
"learning_rate":
|
| 72 |
-
"loss": 0.
|
| 73 |
"step": 45
|
| 74 |
},
|
| 75 |
{
|
| 76 |
"epoch": 0.3401360544217687,
|
| 77 |
-
"grad_norm":
|
| 78 |
-
"learning_rate":
|
| 79 |
-
"loss": 0.
|
| 80 |
"step": 50
|
| 81 |
},
|
| 82 |
{
|
| 83 |
"epoch": 0.3741496598639456,
|
| 84 |
-
"grad_norm":
|
| 85 |
-
"learning_rate":
|
| 86 |
-
"loss": 0.
|
| 87 |
"step": 55
|
| 88 |
},
|
| 89 |
{
|
| 90 |
"epoch": 0.40816326530612246,
|
| 91 |
-
"grad_norm":
|
| 92 |
-
"learning_rate":
|
| 93 |
-
"loss": 0.
|
| 94 |
"step": 60
|
| 95 |
},
|
| 96 |
{
|
| 97 |
"epoch": 0.4421768707482993,
|
| 98 |
-
"grad_norm":
|
| 99 |
-
"learning_rate":
|
| 100 |
-
"loss": 0.
|
| 101 |
"step": 65
|
| 102 |
},
|
| 103 |
{
|
| 104 |
"epoch": 0.47619047619047616,
|
| 105 |
-
"grad_norm":
|
| 106 |
-
"learning_rate":
|
| 107 |
-
"loss": 0.
|
| 108 |
"step": 70
|
| 109 |
},
|
| 110 |
{
|
| 111 |
"epoch": 0.5102040816326531,
|
| 112 |
-
"grad_norm":
|
| 113 |
-
"learning_rate":
|
| 114 |
-
"loss": 0.
|
| 115 |
"step": 75
|
| 116 |
},
|
| 117 |
{
|
| 118 |
"epoch": 0.54421768707483,
|
| 119 |
-
"grad_norm":
|
| 120 |
-
"learning_rate":
|
| 121 |
-
"loss":
|
| 122 |
"step": 80
|
| 123 |
},
|
| 124 |
{
|
| 125 |
"epoch": 0.5782312925170068,
|
| 126 |
-
"grad_norm":
|
| 127 |
-
"learning_rate":
|
| 128 |
-
"loss": 0.
|
| 129 |
"step": 85
|
| 130 |
},
|
| 131 |
{
|
| 132 |
"epoch": 0.6122448979591837,
|
| 133 |
-
"grad_norm":
|
| 134 |
-
"learning_rate":
|
| 135 |
-
"loss": 0.
|
| 136 |
"step": 90
|
| 137 |
},
|
| 138 |
{
|
| 139 |
"epoch": 0.6462585034013606,
|
| 140 |
-
"grad_norm":
|
| 141 |
-
"learning_rate":
|
| 142 |
-
"loss": 0.
|
| 143 |
"step": 95
|
| 144 |
},
|
| 145 |
{
|
| 146 |
"epoch": 0.6802721088435374,
|
| 147 |
-
"grad_norm":
|
| 148 |
-
"learning_rate":
|
| 149 |
-
"loss": 0.
|
| 150 |
"step": 100
|
| 151 |
},
|
| 152 |
{
|
| 153 |
"epoch": 0.7142857142857143,
|
| 154 |
-
"grad_norm":
|
| 155 |
-
"learning_rate":
|
| 156 |
-
"loss": 0.
|
| 157 |
"step": 105
|
| 158 |
},
|
| 159 |
{
|
| 160 |
"epoch": 0.7482993197278912,
|
| 161 |
-
"grad_norm":
|
| 162 |
-
"learning_rate":
|
| 163 |
-
"loss": 0.
|
| 164 |
"step": 110
|
| 165 |
},
|
| 166 |
{
|
| 167 |
"epoch": 0.782312925170068,
|
| 168 |
-
"grad_norm":
|
| 169 |
-
"learning_rate":
|
| 170 |
-
"loss": 0.
|
| 171 |
"step": 115
|
| 172 |
},
|
| 173 |
{
|
| 174 |
"epoch": 0.8163265306122449,
|
| 175 |
-
"grad_norm":
|
| 176 |
-
"learning_rate":
|
| 177 |
-
"loss": 0.
|
| 178 |
"step": 120
|
| 179 |
},
|
| 180 |
{
|
| 181 |
"epoch": 0.8503401360544217,
|
| 182 |
-
"grad_norm":
|
| 183 |
-
"learning_rate":
|
| 184 |
-
"loss": 0.
|
| 185 |
"step": 125
|
| 186 |
},
|
| 187 |
{
|
| 188 |
"epoch": 0.8843537414965986,
|
| 189 |
-
"grad_norm":
|
| 190 |
-
"learning_rate":
|
| 191 |
-
"loss": 0.
|
| 192 |
"step": 130
|
| 193 |
},
|
| 194 |
{
|
| 195 |
"epoch": 0.9183673469387755,
|
| 196 |
-
"grad_norm":
|
| 197 |
-
"learning_rate":
|
| 198 |
-
"loss": 0.
|
| 199 |
"step": 135
|
| 200 |
},
|
| 201 |
{
|
| 202 |
"epoch": 0.9523809523809523,
|
| 203 |
-
"grad_norm":
|
| 204 |
-
"learning_rate":
|
| 205 |
-
"loss": 0.
|
| 206 |
"step": 140
|
| 207 |
},
|
| 208 |
{
|
| 209 |
"epoch": 0.9863945578231292,
|
| 210 |
-
"grad_norm":
|
| 211 |
-
"learning_rate":
|
| 212 |
-
"loss": 0.
|
| 213 |
"step": 145
|
| 214 |
},
|
| 215 |
{
|
| 216 |
"epoch": 0.9931972789115646,
|
| 217 |
-
"eval_loss": 0.
|
| 218 |
-
"eval_runtime":
|
| 219 |
-
"eval_samples_per_second":
|
| 220 |
-
"eval_steps_per_second":
|
| 221 |
"step": 146
|
| 222 |
},
|
| 223 |
{
|
| 224 |
"epoch": 1.0204081632653061,
|
| 225 |
-
"grad_norm":
|
| 226 |
-
"learning_rate":
|
| 227 |
-
"loss": 0.
|
| 228 |
"step": 150
|
| 229 |
},
|
| 230 |
{
|
| 231 |
"epoch": 1.054421768707483,
|
| 232 |
-
"grad_norm":
|
| 233 |
-
"learning_rate":
|
| 234 |
-
"loss": 0.
|
| 235 |
"step": 155
|
| 236 |
},
|
| 237 |
{
|
| 238 |
"epoch": 1.08843537414966,
|
| 239 |
-
"grad_norm":
|
| 240 |
-
"learning_rate":
|
| 241 |
-
"loss": 0.
|
| 242 |
"step": 160
|
| 243 |
},
|
| 244 |
{
|
| 245 |
"epoch": 1.1224489795918366,
|
| 246 |
-
"grad_norm":
|
| 247 |
-
"learning_rate":
|
| 248 |
-
"loss": 0.
|
| 249 |
"step": 165
|
| 250 |
},
|
| 251 |
{
|
| 252 |
"epoch": 1.1564625850340136,
|
| 253 |
-
"grad_norm":
|
| 254 |
-
"learning_rate":
|
| 255 |
-
"loss": 0.
|
| 256 |
"step": 170
|
| 257 |
},
|
| 258 |
{
|
| 259 |
"epoch": 1.1904761904761905,
|
| 260 |
-
"grad_norm":
|
| 261 |
-
"learning_rate":
|
| 262 |
-
"loss": 0.
|
| 263 |
"step": 175
|
| 264 |
},
|
| 265 |
{
|
| 266 |
"epoch": 1.2244897959183674,
|
| 267 |
-
"grad_norm":
|
| 268 |
-
"learning_rate":
|
| 269 |
-
"loss": 0.
|
| 270 |
"step": 180
|
| 271 |
},
|
| 272 |
{
|
| 273 |
"epoch": 1.2585034013605443,
|
| 274 |
-
"grad_norm":
|
| 275 |
-
"learning_rate":
|
| 276 |
-
"loss": 0.
|
| 277 |
"step": 185
|
| 278 |
},
|
| 279 |
{
|
| 280 |
"epoch": 1.2925170068027212,
|
| 281 |
-
"grad_norm":
|
| 282 |
-
"learning_rate":
|
| 283 |
-
"loss": 0.
|
| 284 |
"step": 190
|
| 285 |
},
|
| 286 |
{
|
| 287 |
"epoch": 1.3265306122448979,
|
| 288 |
-
"grad_norm":
|
| 289 |
-
"learning_rate":
|
| 290 |
-
"loss": 0.
|
| 291 |
"step": 195
|
| 292 |
},
|
| 293 |
{
|
| 294 |
"epoch": 1.3605442176870748,
|
| 295 |
-
"grad_norm":
|
| 296 |
-
"learning_rate":
|
| 297 |
-
"loss": 0.
|
| 298 |
"step": 200
|
| 299 |
},
|
| 300 |
{
|
| 301 |
"epoch": 1.3945578231292517,
|
| 302 |
-
"grad_norm":
|
| 303 |
-
"learning_rate":
|
| 304 |
-
"loss": 0.
|
| 305 |
"step": 205
|
| 306 |
},
|
| 307 |
{
|
| 308 |
"epoch": 1.4285714285714286,
|
| 309 |
-
"grad_norm":
|
| 310 |
-
"learning_rate":
|
| 311 |
-
"loss": 0.
|
| 312 |
"step": 210
|
| 313 |
},
|
| 314 |
{
|
| 315 |
"epoch": 1.4625850340136055,
|
| 316 |
-
"grad_norm":
|
| 317 |
-
"learning_rate":
|
| 318 |
-
"loss": 0.
|
| 319 |
"step": 215
|
| 320 |
},
|
| 321 |
{
|
| 322 |
"epoch": 1.4965986394557822,
|
| 323 |
-
"grad_norm":
|
| 324 |
-
"learning_rate":
|
| 325 |
-
"loss": 0.
|
| 326 |
"step": 220
|
| 327 |
},
|
| 328 |
{
|
| 329 |
"epoch": 1.5306122448979593,
|
| 330 |
-
"grad_norm":
|
| 331 |
-
"learning_rate":
|
| 332 |
-
"loss": 0.
|
| 333 |
"step": 225
|
| 334 |
},
|
| 335 |
{
|
| 336 |
"epoch": 1.564625850340136,
|
| 337 |
-
"grad_norm":
|
| 338 |
-
"learning_rate":
|
| 339 |
-
"loss": 0.
|
| 340 |
"step": 230
|
| 341 |
},
|
| 342 |
{
|
| 343 |
"epoch": 1.598639455782313,
|
| 344 |
-
"grad_norm":
|
| 345 |
-
"learning_rate":
|
| 346 |
-
"loss": 0.
|
| 347 |
"step": 235
|
| 348 |
},
|
| 349 |
{
|
| 350 |
"epoch": 1.6326530612244898,
|
| 351 |
-
"grad_norm":
|
| 352 |
-
"learning_rate":
|
| 353 |
-
"loss": 0.
|
| 354 |
"step": 240
|
| 355 |
},
|
| 356 |
{
|
| 357 |
"epoch": 1.6666666666666665,
|
| 358 |
-
"grad_norm":
|
| 359 |
-
"learning_rate":
|
| 360 |
-
"loss": 0.
|
| 361 |
"step": 245
|
| 362 |
},
|
| 363 |
{
|
| 364 |
"epoch": 1.7006802721088436,
|
| 365 |
-
"grad_norm":
|
| 366 |
-
"learning_rate":
|
| 367 |
-
"loss": 0.
|
| 368 |
"step": 250
|
| 369 |
},
|
| 370 |
{
|
| 371 |
"epoch": 1.7346938775510203,
|
| 372 |
-
"grad_norm":
|
| 373 |
-
"learning_rate":
|
| 374 |
-
"loss": 0.
|
| 375 |
"step": 255
|
| 376 |
},
|
| 377 |
{
|
| 378 |
"epoch": 1.7687074829931972,
|
| 379 |
-
"grad_norm": 0.
|
| 380 |
-
"learning_rate":
|
| 381 |
-
"loss": 0.
|
| 382 |
"step": 260
|
| 383 |
},
|
| 384 |
{
|
| 385 |
"epoch": 1.8027210884353742,
|
| 386 |
-
"grad_norm":
|
| 387 |
-
"learning_rate":
|
| 388 |
-
"loss": 0.
|
| 389 |
"step": 265
|
| 390 |
},
|
| 391 |
{
|
| 392 |
"epoch": 1.836734693877551,
|
| 393 |
-
"grad_norm":
|
| 394 |
-
"learning_rate":
|
| 395 |
-
"loss": 0.
|
| 396 |
"step": 270
|
| 397 |
},
|
| 398 |
{
|
| 399 |
"epoch": 1.870748299319728,
|
| 400 |
-
"grad_norm":
|
| 401 |
-
"learning_rate":
|
| 402 |
-
"loss": 0.
|
| 403 |
"step": 275
|
| 404 |
},
|
| 405 |
{
|
| 406 |
"epoch": 1.9047619047619047,
|
| 407 |
-
"grad_norm":
|
| 408 |
-
"learning_rate":
|
| 409 |
-
"loss": 0.
|
| 410 |
"step": 280
|
| 411 |
},
|
| 412 |
{
|
| 413 |
"epoch": 1.9387755102040818,
|
| 414 |
-
"grad_norm":
|
| 415 |
-
"learning_rate":
|
| 416 |
-
"loss": 0.
|
| 417 |
"step": 285
|
| 418 |
},
|
| 419 |
{
|
| 420 |
"epoch": 1.9727891156462585,
|
| 421 |
-
"grad_norm": 0.
|
| 422 |
-
"learning_rate":
|
| 423 |
-
"loss": 0.
|
| 424 |
"step": 290
|
| 425 |
},
|
| 426 |
{
|
| 427 |
"epoch": 1.9863945578231292,
|
| 428 |
-
"eval_loss": 0.
|
| 429 |
-
"eval_runtime":
|
| 430 |
-
"eval_samples_per_second":
|
| 431 |
-
"eval_steps_per_second":
|
| 432 |
"step": 292
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 433 |
}
|
| 434 |
],
|
| 435 |
"logging_steps": 5,
|
|
@@ -449,7 +660,7 @@
|
|
| 449 |
"attributes": {}
|
| 450 |
}
|
| 451 |
},
|
| 452 |
-
"total_flos":
|
| 453 |
"train_batch_size": 3,
|
| 454 |
"trial_name": null,
|
| 455 |
"trial_params": null
|
|
|
|
| 2 |
"best_global_step": null,
|
| 3 |
"best_metric": null,
|
| 4 |
"best_model_checkpoint": null,
|
| 5 |
+
"epoch": 2.979591836734694,
|
| 6 |
"eval_steps": 500,
|
| 7 |
+
"global_step": 438,
|
| 8 |
"is_hyper_param_search": false,
|
| 9 |
"is_local_process_zero": true,
|
| 10 |
"is_world_process_zero": true,
|
| 11 |
"log_history": [
|
| 12 |
{
|
| 13 |
"epoch": 0.034013605442176874,
|
| 14 |
+
"grad_norm": 28.75,
|
| 15 |
+
"learning_rate": 1.2405214087609793e-05,
|
| 16 |
+
"loss": 3.4643,
|
| 17 |
"step": 5
|
| 18 |
},
|
| 19 |
{
|
| 20 |
"epoch": 0.06802721088435375,
|
| 21 |
+
"grad_norm": 38.25,
|
| 22 |
+
"learning_rate": 2.791173169712203e-05,
|
| 23 |
+
"loss": 4.2336,
|
| 24 |
"step": 10
|
| 25 |
},
|
| 26 |
{
|
| 27 |
"epoch": 0.10204081632653061,
|
| 28 |
+
"grad_norm": 32.0,
|
| 29 |
+
"learning_rate": 4.341824930663428e-05,
|
| 30 |
+
"loss": 2.0587,
|
| 31 |
"step": 15
|
| 32 |
},
|
| 33 |
{
|
| 34 |
"epoch": 0.1360544217687075,
|
| 35 |
+
"grad_norm": 0.84765625,
|
| 36 |
+
"learning_rate": 5.8924766916146515e-05,
|
| 37 |
+
"loss": 1.0773,
|
| 38 |
"step": 20
|
| 39 |
},
|
| 40 |
{
|
| 41 |
"epoch": 0.17006802721088435,
|
| 42 |
+
"grad_norm": 42.75,
|
| 43 |
+
"learning_rate": 7.443128452565876e-05,
|
| 44 |
+
"loss": 0.6339,
|
| 45 |
"step": 25
|
| 46 |
},
|
| 47 |
{
|
| 48 |
"epoch": 0.20408163265306123,
|
| 49 |
+
"grad_norm": 0.1826171875,
|
| 50 |
+
"learning_rate": 8.9937802135171e-05,
|
| 51 |
+
"loss": 0.3862,
|
| 52 |
"step": 30
|
| 53 |
},
|
| 54 |
{
|
| 55 |
"epoch": 0.23809523809523808,
|
| 56 |
+
"grad_norm": 72.5,
|
| 57 |
+
"learning_rate": 0.00010544431974468325,
|
| 58 |
+
"loss": 2.4785,
|
| 59 |
"step": 35
|
| 60 |
},
|
| 61 |
{
|
| 62 |
"epoch": 0.272108843537415,
|
| 63 |
+
"grad_norm": 35.75,
|
| 64 |
+
"learning_rate": 0.0001085248274824069,
|
| 65 |
+
"loss": 1.4148,
|
| 66 |
"step": 40
|
| 67 |
},
|
| 68 |
{
|
| 69 |
"epoch": 0.30612244897959184,
|
| 70 |
+
"grad_norm": 74.5,
|
| 71 |
+
"learning_rate": 0.0001084403787497468,
|
| 72 |
+
"loss": 0.8793,
|
| 73 |
"step": 45
|
| 74 |
},
|
| 75 |
{
|
| 76 |
"epoch": 0.3401360544217687,
|
| 77 |
+
"grad_norm": 35.5,
|
| 78 |
+
"learning_rate": 0.00010829110362886751,
|
| 79 |
+
"loss": 0.4985,
|
| 80 |
"step": 50
|
| 81 |
},
|
| 82 |
{
|
| 83 |
"epoch": 0.3741496598639456,
|
| 84 |
+
"grad_norm": 2.328125,
|
| 85 |
+
"learning_rate": 0.00010807722553920126,
|
| 86 |
+
"loss": 0.382,
|
| 87 |
"step": 55
|
| 88 |
},
|
| 89 |
{
|
| 90 |
"epoch": 0.40816326530612246,
|
| 91 |
+
"grad_norm": 17.5,
|
| 92 |
+
"learning_rate": 0.00010779906459116616,
|
| 93 |
+
"loss": 0.6253,
|
| 94 |
"step": 60
|
| 95 |
},
|
| 96 |
{
|
| 97 |
"epoch": 0.4421768707482993,
|
| 98 |
+
"grad_norm": 16.375,
|
| 99 |
+
"learning_rate": 0.00010745703710705828,
|
| 100 |
+
"loss": 0.3236,
|
| 101 |
"step": 65
|
| 102 |
},
|
| 103 |
{
|
| 104 |
"epoch": 0.47619047619047616,
|
| 105 |
+
"grad_norm": 55.75,
|
| 106 |
+
"learning_rate": 0.00010705165499794393,
|
| 107 |
+
"loss": 0.3981,
|
| 108 |
"step": 70
|
| 109 |
},
|
| 110 |
{
|
| 111 |
"epoch": 0.5102040816326531,
|
| 112 |
+
"grad_norm": 25.625,
|
| 113 |
+
"learning_rate": 0.00010658352499748452,
|
| 114 |
+
"loss": 0.6889,
|
| 115 |
"step": 75
|
| 116 |
},
|
| 117 |
{
|
| 118 |
"epoch": 0.54421768707483,
|
| 119 |
+
"grad_norm": 235.0,
|
| 120 |
+
"learning_rate": 0.00010605334775384088,
|
| 121 |
+
"loss": 1.3471,
|
| 122 |
"step": 80
|
| 123 |
},
|
| 124 |
{
|
| 125 |
"epoch": 0.5782312925170068,
|
| 126 |
+
"grad_norm": 6.34375,
|
| 127 |
+
"learning_rate": 0.00010546191678101621,
|
| 128 |
+
"loss": 0.7067,
|
| 129 |
"step": 85
|
| 130 |
},
|
| 131 |
{
|
| 132 |
"epoch": 0.6122448979591837,
|
| 133 |
+
"grad_norm": 33.0,
|
| 134 |
+
"learning_rate": 0.00010481011727120708,
|
| 135 |
+
"loss": 0.2755,
|
| 136 |
"step": 90
|
| 137 |
},
|
| 138 |
{
|
| 139 |
"epoch": 0.6462585034013606,
|
| 140 |
+
"grad_norm": 29.875,
|
| 141 |
+
"learning_rate": 0.00010409892476994003,
|
| 142 |
+
"loss": 0.376,
|
| 143 |
"step": 95
|
| 144 |
},
|
| 145 |
{
|
| 146 |
"epoch": 0.6802721088435374,
|
| 147 |
+
"grad_norm": 20.5,
|
| 148 |
+
"learning_rate": 0.0001033294037159768,
|
| 149 |
+
"loss": 0.5199,
|
| 150 |
"step": 100
|
| 151 |
},
|
| 152 |
{
|
| 153 |
"epoch": 0.7142857142857143,
|
| 154 |
+
"grad_norm": 9.0625,
|
| 155 |
+
"learning_rate": 0.00010250270584817341,
|
| 156 |
+
"loss": 0.4744,
|
| 157 |
"step": 105
|
| 158 |
},
|
| 159 |
{
|
| 160 |
"epoch": 0.7482993197278912,
|
| 161 |
+
"grad_norm": 49.25,
|
| 162 |
+
"learning_rate": 0.0001016200684816775,
|
| 163 |
+
"loss": 0.3467,
|
| 164 |
"step": 110
|
| 165 |
},
|
| 166 |
{
|
| 167 |
"epoch": 0.782312925170068,
|
| 168 |
+
"grad_norm": 54.75,
|
| 169 |
+
"learning_rate": 0.00010068281265604425,
|
| 170 |
+
"loss": 0.4323,
|
| 171 |
"step": 115
|
| 172 |
},
|
| 173 |
{
|
| 174 |
"epoch": 0.8163265306122449,
|
| 175 |
+
"grad_norm": 25.75,
|
| 176 |
+
"learning_rate": 9.969234115804185e-05,
|
| 177 |
+
"loss": 0.5117,
|
| 178 |
"step": 120
|
| 179 |
},
|
| 180 |
{
|
| 181 |
"epoch": 0.8503401360544217,
|
| 182 |
+
"grad_norm": 27.375,
|
| 183 |
+
"learning_rate": 9.865013642210685e-05,
|
| 184 |
+
"loss": 0.3461,
|
| 185 |
"step": 125
|
| 186 |
},
|
| 187 |
{
|
| 188 |
"epoch": 0.8843537414965986,
|
| 189 |
+
"grad_norm": 27.0,
|
| 190 |
+
"learning_rate": 9.755775831159075e-05,
|
| 191 |
+
"loss": 0.3838,
|
| 192 |
"step": 130
|
| 193 |
},
|
| 194 |
{
|
| 195 |
"epoch": 0.9183673469387755,
|
| 196 |
+
"grad_norm": 22.0,
|
| 197 |
+
"learning_rate": 9.641684178411933e-05,
|
| 198 |
+
"loss": 0.3031,
|
| 199 |
"step": 135
|
| 200 |
},
|
| 201 |
{
|
| 202 |
"epoch": 0.9523809523809523,
|
| 203 |
+
"grad_norm": 15.25,
|
| 204 |
+
"learning_rate": 9.522909444455842e-05,
|
| 205 |
+
"loss": 0.4872,
|
| 206 |
"step": 140
|
| 207 |
},
|
| 208 |
{
|
| 209 |
"epoch": 0.9863945578231292,
|
| 210 |
+
"grad_norm": 8.375,
|
| 211 |
+
"learning_rate": 9.399629398924927e-05,
|
| 212 |
+
"loss": 0.2626,
|
| 213 |
"step": 145
|
| 214 |
},
|
| 215 |
{
|
| 216 |
"epoch": 0.9931972789115646,
|
| 217 |
+
"eval_loss": 0.21089103817939758,
|
| 218 |
+
"eval_runtime": 1.2585,
|
| 219 |
+
"eval_samples_per_second": 20.66,
|
| 220 |
+
"eval_steps_per_second": 20.66,
|
| 221 |
"step": 146
|
| 222 |
},
|
| 223 |
{
|
| 224 |
"epoch": 1.0204081632653061,
|
| 225 |
+
"grad_norm": 23.75,
|
| 226 |
+
"learning_rate": 9.272028554533782e-05,
|
| 227 |
+
"loss": 0.1617,
|
| 228 |
"step": 150
|
| 229 |
},
|
| 230 |
{
|
| 231 |
"epoch": 1.054421768707483,
|
| 232 |
+
"grad_norm": 3.421875,
|
| 233 |
+
"learning_rate": 9.140297890918105e-05,
|
| 234 |
+
"loss": 0.2647,
|
| 235 |
"step": 155
|
| 236 |
},
|
| 237 |
{
|
| 238 |
"epoch": 1.08843537414966,
|
| 239 |
+
"grad_norm": 7.5625,
|
| 240 |
+
"learning_rate": 9.004634568796285e-05,
|
| 241 |
+
"loss": 0.4115,
|
| 242 |
"step": 160
|
| 243 |
},
|
| 244 |
{
|
| 245 |
"epoch": 1.1224489795918366,
|
| 246 |
+
"grad_norm": 14.1875,
|
| 247 |
+
"learning_rate": 8.865241634879804e-05,
|
| 248 |
+
"loss": 0.2492,
|
| 249 |
"step": 165
|
| 250 |
},
|
| 251 |
{
|
| 252 |
"epoch": 1.1564625850340136,
|
| 253 |
+
"grad_norm": 9.1875,
|
| 254 |
+
"learning_rate": 8.722327717974095e-05,
|
| 255 |
+
"loss": 0.3327,
|
| 256 |
"step": 170
|
| 257 |
},
|
| 258 |
{
|
| 259 |
"epoch": 1.1904761904761905,
|
| 260 |
+
"grad_norm": 9.4375,
|
| 261 |
+
"learning_rate": 8.57610671672471e-05,
|
| 262 |
+
"loss": 0.4109,
|
| 263 |
"step": 175
|
| 264 |
},
|
| 265 |
{
|
| 266 |
"epoch": 1.2244897959183674,
|
| 267 |
+
"grad_norm": 20.25,
|
| 268 |
+
"learning_rate": 8.426797479476129e-05,
|
| 269 |
+
"loss": 0.4426,
|
| 270 |
"step": 180
|
| 271 |
},
|
| 272 |
{
|
| 273 |
"epoch": 1.2585034013605443,
|
| 274 |
+
"grad_norm": 66.0,
|
| 275 |
+
"learning_rate": 8.27462347672239e-05,
|
| 276 |
+
"loss": 0.3577,
|
| 277 |
"step": 185
|
| 278 |
},
|
| 279 |
{
|
| 280 |
"epoch": 1.2925170068027212,
|
| 281 |
+
"grad_norm": 4.75,
|
| 282 |
+
"learning_rate": 8.119812466639757e-05,
|
| 283 |
+
"loss": 0.201,
|
| 284 |
"step": 190
|
| 285 |
},
|
| 286 |
{
|
| 287 |
"epoch": 1.3265306122448979,
|
| 288 |
+
"grad_norm": 5.84375,
|
| 289 |
+
"learning_rate": 7.962596154202029e-05,
|
| 290 |
+
"loss": 0.1453,
|
| 291 |
"step": 195
|
| 292 |
},
|
| 293 |
{
|
| 294 |
"epoch": 1.3605442176870748,
|
| 295 |
+
"grad_norm": 8.4375,
|
| 296 |
+
"learning_rate": 7.80320984438872e-05,
|
| 297 |
+
"loss": 0.072,
|
| 298 |
"step": 200
|
| 299 |
},
|
| 300 |
{
|
| 301 |
"epoch": 1.3945578231292517,
|
| 302 |
+
"grad_norm": 10.75,
|
| 303 |
+
"learning_rate": 7.641892090005088e-05,
|
| 304 |
+
"loss": 0.0673,
|
| 305 |
"step": 205
|
| 306 |
},
|
| 307 |
{
|
| 308 |
"epoch": 1.4285714285714286,
|
| 309 |
+
"grad_norm": 20.5,
|
| 310 |
+
"learning_rate": 7.478884334641178e-05,
|
| 311 |
+
"loss": 0.2137,
|
| 312 |
"step": 210
|
| 313 |
},
|
| 314 |
{
|
| 315 |
"epoch": 1.4625850340136055,
|
| 316 |
+
"grad_norm": 13.875,
|
| 317 |
+
"learning_rate": 7.314430551304253e-05,
|
| 318 |
+
"loss": 0.1786,
|
| 319 |
"step": 215
|
| 320 |
},
|
| 321 |
{
|
| 322 |
"epoch": 1.4965986394557822,
|
| 323 |
+
"grad_norm": 7.65625,
|
| 324 |
+
"learning_rate": 7.148776877265426e-05,
|
| 325 |
+
"loss": 0.0821,
|
| 326 |
"step": 220
|
| 327 |
},
|
| 328 |
{
|
| 329 |
"epoch": 1.5306122448979593,
|
| 330 |
+
"grad_norm": 16.25,
|
| 331 |
+
"learning_rate": 6.982171245667071e-05,
|
| 332 |
+
"loss": 0.1904,
|
| 333 |
"step": 225
|
| 334 |
},
|
| 335 |
{
|
| 336 |
"epoch": 1.564625850340136,
|
| 337 |
+
"grad_norm": 4.46875,
|
| 338 |
+
"learning_rate": 6.81486301444235e-05,
|
| 339 |
+
"loss": 0.0449,
|
| 340 |
"step": 230
|
| 341 |
},
|
| 342 |
{
|
| 343 |
"epoch": 1.598639455782313,
|
| 344 |
+
"grad_norm": 14.5625,
|
| 345 |
+
"learning_rate": 6.64710259310227e-05,
|
| 346 |
+
"loss": 0.1493,
|
| 347 |
"step": 235
|
| 348 |
},
|
| 349 |
{
|
| 350 |
"epoch": 1.6326530612244898,
|
| 351 |
+
"grad_norm": 25.75,
|
| 352 |
+
"learning_rate": 6.479141067948843e-05,
|
| 353 |
+
"loss": 0.1877,
|
| 354 |
"step": 240
|
| 355 |
},
|
| 356 |
{
|
| 357 |
"epoch": 1.6666666666666665,
|
| 358 |
+
"grad_norm": 12.75,
|
| 359 |
+
"learning_rate": 6.311229826275292e-05,
|
| 360 |
+
"loss": 0.1844,
|
| 361 |
"step": 245
|
| 362 |
},
|
| 363 |
{
|
| 364 |
"epoch": 1.7006802721088436,
|
| 365 |
+
"grad_norm": 13.5,
|
| 366 |
+
"learning_rate": 6.143620180115768e-05,
|
| 367 |
+
"loss": 0.2923,
|
| 368 |
"step": 250
|
| 369 |
},
|
| 370 |
{
|
| 371 |
"epoch": 1.7346938775510203,
|
| 372 |
+
"grad_norm": 2.15625,
|
| 373 |
+
"learning_rate": 5.9765629901077215e-05,
|
| 374 |
+
"loss": 0.059,
|
| 375 |
"step": 255
|
| 376 |
},
|
| 377 |
{
|
| 378 |
"epoch": 1.7687074829931972,
|
| 379 |
+
"grad_norm": 0.26953125,
|
| 380 |
+
"learning_rate": 5.8103082900298425e-05,
|
| 381 |
+
"loss": 0.0561,
|
| 382 |
"step": 260
|
| 383 |
},
|
| 384 |
{
|
| 385 |
"epoch": 1.8027210884353742,
|
| 386 |
+
"grad_norm": 8.875,
|
| 387 |
+
"learning_rate": 5.645104912577601e-05,
|
| 388 |
+
"loss": 0.1103,
|
| 389 |
"step": 265
|
| 390 |
},
|
| 391 |
{
|
| 392 |
"epoch": 1.836734693877551,
|
| 393 |
+
"grad_norm": 8.4375,
|
| 394 |
+
"learning_rate": 5.481200116936402e-05,
|
| 395 |
+
"loss": 0.1003,
|
| 396 |
"step": 270
|
| 397 |
},
|
| 398 |
{
|
| 399 |
"epoch": 1.870748299319728,
|
| 400 |
+
"grad_norm": 6.0,
|
| 401 |
+
"learning_rate": 5.31883921870983e-05,
|
| 402 |
+
"loss": 0.0788,
|
| 403 |
"step": 275
|
| 404 |
},
|
| 405 |
{
|
| 406 |
"epoch": 1.9047619047619047,
|
| 407 |
+
"grad_norm": 1.6171875,
|
| 408 |
+
"learning_rate": 5.158265222756847e-05,
|
| 409 |
+
"loss": 0.0819,
|
| 410 |
"step": 280
|
| 411 |
},
|
| 412 |
{
|
| 413 |
"epoch": 1.9387755102040818,
|
| 414 |
+
"grad_norm": 14.1875,
|
| 415 |
+
"learning_rate": 4.999718459487458e-05,
|
| 416 |
+
"loss": 0.0352,
|
| 417 |
"step": 285
|
| 418 |
},
|
| 419 |
{
|
| 420 |
"epoch": 1.9727891156462585,
|
| 421 |
+
"grad_norm": 0.60546875,
|
| 422 |
+
"learning_rate": 4.843436225161211e-05,
|
| 423 |
+
"loss": 0.1354,
|
| 424 |
"step": 290
|
| 425 |
},
|
| 426 |
{
|
| 427 |
"epoch": 1.9863945578231292,
|
| 428 |
+
"eval_loss": 0.17950406670570374,
|
| 429 |
+
"eval_runtime": 1.156,
|
| 430 |
+
"eval_samples_per_second": 22.491,
|
| 431 |
+
"eval_steps_per_second": 22.491,
|
| 432 |
"step": 292
|
| 433 |
+
},
|
| 434 |
+
{
|
| 435 |
+
"epoch": 2.006802721088435,
|
| 436 |
+
"grad_norm": 1.0703125,
|
| 437 |
+
"learning_rate": 4.689652426726917e-05,
|
| 438 |
+
"loss": 0.0795,
|
| 439 |
+
"step": 295
|
| 440 |
+
},
|
| 441 |
+
{
|
| 442 |
+
"epoch": 2.0408163265306123,
|
| 443 |
+
"grad_norm": 0.0264892578125,
|
| 444 |
+
"learning_rate": 4.5385972317351206e-05,
|
| 445 |
+
"loss": 0.1034,
|
| 446 |
+
"step": 300
|
| 447 |
+
},
|
| 448 |
+
{
|
| 449 |
+
"epoch": 2.074829931972789,
|
| 450 |
+
"grad_norm": 0.060791015625,
|
| 451 |
+
"learning_rate": 4.3904967238473124e-05,
|
| 452 |
+
"loss": 0.0467,
|
| 453 |
+
"step": 305
|
| 454 |
+
},
|
| 455 |
+
{
|
| 456 |
+
"epoch": 2.108843537414966,
|
| 457 |
+
"grad_norm": 4.5625,
|
| 458 |
+
"learning_rate": 4.2455725644574884e-05,
|
| 459 |
+
"loss": 0.0525,
|
| 460 |
+
"step": 310
|
| 461 |
+
},
|
| 462 |
+
{
|
| 463 |
+
"epoch": 2.142857142857143,
|
| 464 |
+
"grad_norm": 0.08984375,
|
| 465 |
+
"learning_rate": 4.1040416609324844e-05,
|
| 466 |
+
"loss": 0.0122,
|
| 467 |
+
"step": 315
|
| 468 |
+
},
|
| 469 |
+
{
|
| 470 |
+
"epoch": 2.17687074829932,
|
| 471 |
+
"grad_norm": 17.25,
|
| 472 |
+
"learning_rate": 3.966115841967671e-05,
|
| 473 |
+
"loss": 0.1311,
|
| 474 |
+
"step": 320
|
| 475 |
+
},
|
| 476 |
+
{
|
| 477 |
+
"epoch": 2.2108843537414966,
|
| 478 |
+
"grad_norm": 3.390625,
|
| 479 |
+
"learning_rate": 3.832001540543833e-05,
|
| 480 |
+
"loss": 0.1173,
|
| 481 |
+
"step": 325
|
| 482 |
+
},
|
| 483 |
+
{
|
| 484 |
+
"epoch": 2.2448979591836733,
|
| 485 |
+
"grad_norm": 4.59375,
|
| 486 |
+
"learning_rate": 3.701899484959829e-05,
|
| 487 |
+
"loss": 0.0816,
|
| 488 |
+
"step": 330
|
| 489 |
+
},
|
| 490 |
+
{
|
| 491 |
+
"epoch": 2.2789115646258504,
|
| 492 |
+
"grad_norm": 0.06591796875,
|
| 493 |
+
"learning_rate": 3.5760043984034015e-05,
|
| 494 |
+
"loss": 0.0235,
|
| 495 |
+
"step": 335
|
| 496 |
+
},
|
| 497 |
+
{
|
| 498 |
+
"epoch": 2.312925170068027,
|
| 499 |
+
"grad_norm": 12.375,
|
| 500 |
+
"learning_rate": 3.454504707509821e-05,
|
| 501 |
+
"loss": 0.0807,
|
| 502 |
+
"step": 340
|
| 503 |
+
},
|
| 504 |
+
{
|
| 505 |
+
"epoch": 2.3469387755102042,
|
| 506 |
+
"grad_norm": 0.016357421875,
|
| 507 |
+
"learning_rate": 3.337582260344549e-05,
|
| 508 |
+
"loss": 0.0603,
|
| 509 |
+
"step": 345
|
| 510 |
+
},
|
| 511 |
+
{
|
| 512 |
+
"epoch": 2.380952380952381,
|
| 513 |
+
"grad_norm": 0.06884765625,
|
| 514 |
+
"learning_rate": 3.225412054232022e-05,
|
| 515 |
+
"loss": 0.0107,
|
| 516 |
+
"step": 350
|
| 517 |
+
},
|
| 518 |
+
{
|
| 519 |
+
"epoch": 2.4149659863945576,
|
| 520 |
+
"grad_norm": 0.07080078125,
|
| 521 |
+
"learning_rate": 3.118161973837903e-05,
|
| 522 |
+
"loss": 0.003,
|
| 523 |
+
"step": 355
|
| 524 |
+
},
|
| 525 |
+
{
|
| 526 |
+
"epoch": 2.4489795918367347,
|
| 527 |
+
"grad_norm": 0.55078125,
|
| 528 |
+
"learning_rate": 3.0159925398968314e-05,
|
| 529 |
+
"loss": 0.0248,
|
| 530 |
+
"step": 360
|
| 531 |
+
},
|
| 532 |
+
{
|
| 533 |
+
"epoch": 2.4829931972789114,
|
| 534 |
+
"grad_norm": 1.015625,
|
| 535 |
+
"learning_rate": 2.9190566689617188e-05,
|
| 536 |
+
"loss": 0.0651,
|
| 537 |
+
"step": 365
|
| 538 |
+
},
|
| 539 |
+
{
|
| 540 |
+
"epoch": 2.5170068027210886,
|
| 541 |
+
"grad_norm": 0.0218505859375,
|
| 542 |
+
"learning_rate": 2.8274994445342093e-05,
|
| 543 |
+
"loss": 0.0021,
|
| 544 |
+
"step": 370
|
| 545 |
+
},
|
| 546 |
+
{
|
| 547 |
+
"epoch": 2.5510204081632653,
|
| 548 |
+
"grad_norm": 0.037353515625,
|
| 549 |
+
"learning_rate": 2.741457899918822e-05,
|
| 550 |
+
"loss": 0.0111,
|
| 551 |
+
"step": 375
|
| 552 |
+
},
|
| 553 |
+
{
|
| 554 |
+
"epoch": 2.5850340136054424,
|
| 555 |
+
"grad_norm": 54.75,
|
| 556 |
+
"learning_rate": 2.6610608131257937e-05,
|
| 557 |
+
"loss": 0.0358,
|
| 558 |
+
"step": 380
|
| 559 |
+
},
|
| 560 |
+
{
|
| 561 |
+
"epoch": 2.619047619047619,
|
| 562 |
+
"grad_norm": 0.078125,
|
| 563 |
+
"learning_rate": 2.5864285141295854e-05,
|
| 564 |
+
"loss": 0.0004,
|
| 565 |
+
"step": 385
|
| 566 |
+
},
|
| 567 |
+
{
|
| 568 |
+
"epoch": 2.6530612244897958,
|
| 569 |
+
"grad_norm": 0.005767822265625,
|
| 570 |
+
"learning_rate": 2.517672704771522e-05,
|
| 571 |
+
"loss": 0.0003,
|
| 572 |
+
"step": 390
|
| 573 |
+
},
|
| 574 |
+
{
|
| 575 |
+
"epoch": 2.687074829931973,
|
| 576 |
+
"grad_norm": 2.015625,
|
| 577 |
+
"learning_rate": 2.4548962915761334e-05,
|
| 578 |
+
"loss": 0.0006,
|
| 579 |
+
"step": 395
|
| 580 |
+
},
|
| 581 |
+
{
|
| 582 |
+
"epoch": 2.7210884353741496,
|
| 583 |
+
"grad_norm": 13.875,
|
| 584 |
+
"learning_rate": 2.3981932317313933e-05,
|
| 585 |
+
"loss": 0.0117,
|
| 586 |
+
"step": 400
|
| 587 |
+
},
|
| 588 |
+
{
|
| 589 |
+
"epoch": 2.7551020408163263,
|
| 590 |
+
"grad_norm": 0.2216796875,
|
| 591 |
+
"learning_rate": 2.347648392463406e-05,
|
| 592 |
+
"loss": 0.0074,
|
| 593 |
+
"step": 405
|
| 594 |
+
},
|
| 595 |
+
{
|
| 596 |
+
"epoch": 2.7891156462585034,
|
| 597 |
+
"grad_norm": 11.4375,
|
| 598 |
+
"learning_rate": 2.303337424015989e-05,
|
| 599 |
+
"loss": 0.0291,
|
| 600 |
+
"step": 410
|
| 601 |
+
},
|
| 602 |
+
{
|
| 603 |
+
"epoch": 2.8231292517006805,
|
| 604 |
+
"grad_norm": 18.0,
|
| 605 |
+
"learning_rate": 2.2653266464252818e-05,
|
| 606 |
+
"loss": 0.0245,
|
| 607 |
+
"step": 415
|
| 608 |
+
},
|
| 609 |
+
{
|
| 610 |
+
"epoch": 2.857142857142857,
|
| 611 |
+
"grad_norm": 7.25,
|
| 612 |
+
"learning_rate": 2.2336729502588305e-05,
|
| 613 |
+
"loss": 0.0082,
|
| 614 |
+
"step": 420
|
| 615 |
+
},
|
| 616 |
+
{
|
| 617 |
+
"epoch": 2.891156462585034,
|
| 618 |
+
"grad_norm": 0.09716796875,
|
| 619 |
+
"learning_rate": 2.2084237114677194e-05,
|
| 620 |
+
"loss": 0.0224,
|
| 621 |
+
"step": 425
|
| 622 |
+
},
|
| 623 |
+
{
|
| 624 |
+
"epoch": 2.925170068027211,
|
| 625 |
+
"grad_norm": 0.012451171875,
|
| 626 |
+
"learning_rate": 2.18961672047919e-05,
|
| 627 |
+
"loss": 0.0002,
|
| 628 |
+
"step": 430
|
| 629 |
+
},
|
| 630 |
+
{
|
| 631 |
+
"epoch": 2.9591836734693877,
|
| 632 |
+
"grad_norm": 0.0341796875,
|
| 633 |
+
"learning_rate": 2.1772801256358705e-05,
|
| 634 |
+
"loss": 0.0299,
|
| 635 |
+
"step": 435
|
| 636 |
+
},
|
| 637 |
+
{
|
| 638 |
+
"epoch": 2.979591836734694,
|
| 639 |
+
"eval_loss": 0.00994242262095213,
|
| 640 |
+
"eval_runtime": 1.1603,
|
| 641 |
+
"eval_samples_per_second": 22.408,
|
| 642 |
+
"eval_steps_per_second": 22.408,
|
| 643 |
+
"step": 438
|
| 644 |
}
|
| 645 |
],
|
| 646 |
"logging_steps": 5,
|
|
|
|
| 660 |
"attributes": {}
|
| 661 |
}
|
| 662 |
},
|
| 663 |
+
"total_flos": 3.330567101743104e+16,
|
| 664 |
"train_batch_size": 3,
|
| 665 |
"trial_name": null,
|
| 666 |
"trial_params": null
|
training_args.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 5560
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:73e50ede3fd7e17a3aef1da9b06d58c3cc6693ace5908dc3a74142804df978c3
|
| 3 |
size 5560
|