Training in progress, step 13500, checkpoint
Browse files
checkpoint-13500/model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 1711848436
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:e528f97b69e6f457368417e447376070b467d9e7951855b6a6f0b3ac0c3e6e26
|
| 3 |
size 1711848436
|
checkpoint-13500/optimizer.pt
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 3424043887
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:e21929b799a128bcc164c93bcbc6d98d034d262e7b501268725c49185ed73e06
|
| 3 |
size 3424043887
|
checkpoint-13500/rng_state.pth
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 14503
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:1f9df87d270d2e2562b4f7d05ec0730338815d75ab95fb0a308f455fdc3875de
|
| 3 |
size 14503
|
checkpoint-13500/scheduler.pt
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 623
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:0b4f83a21493b3fbd50dff6eb94efb9ac52f1b0d188ea215a01a2b7bda7c1d55
|
| 3 |
size 623
|
checkpoint-13500/trainer_state.json
CHANGED
|
@@ -1,7 +1,7 @@
|
|
| 1 |
{
|
| 2 |
-
"best_metric": 0.
|
| 3 |
"best_model_checkpoint": "./output/clip-finetuned-csu-p14-336-e3l58-l/checkpoint-13500",
|
| 4 |
-
"epoch":
|
| 5 |
"eval_steps": 500,
|
| 6 |
"global_step": 13500,
|
| 7 |
"is_hyper_param_search": false,
|
|
@@ -9,413 +9,413 @@
|
|
| 9 |
"is_world_process_zero": true,
|
| 10 |
"log_history": [
|
| 11 |
{
|
| 12 |
-
"epoch": 0.
|
| 13 |
-
"grad_norm":
|
| 14 |
-
"learning_rate": 4.
|
| 15 |
-
"loss": 0.
|
| 16 |
"step": 500
|
| 17 |
},
|
| 18 |
{
|
| 19 |
-
"epoch": 0.
|
| 20 |
-
"eval_loss": 1.
|
| 21 |
-
"eval_runtime":
|
| 22 |
-
"eval_samples_per_second": 16.
|
| 23 |
-
"eval_steps_per_second": 2.
|
| 24 |
"step": 500
|
| 25 |
},
|
| 26 |
{
|
| 27 |
-
"epoch": 0.
|
| 28 |
-
"grad_norm":
|
| 29 |
-
"learning_rate": 4.
|
| 30 |
-
"loss": 0.
|
| 31 |
"step": 1000
|
| 32 |
},
|
| 33 |
{
|
| 34 |
-
"epoch": 0.
|
| 35 |
-
"eval_loss": 1.
|
| 36 |
-
"eval_runtime":
|
| 37 |
-
"eval_samples_per_second": 16.
|
| 38 |
-
"eval_steps_per_second": 2.
|
| 39 |
"step": 1000
|
| 40 |
},
|
| 41 |
{
|
| 42 |
-
"epoch": 0.
|
| 43 |
-
"grad_norm":
|
| 44 |
-
"learning_rate": 4.
|
| 45 |
-
"loss": 0.
|
| 46 |
"step": 1500
|
| 47 |
},
|
| 48 |
{
|
| 49 |
-
"epoch": 0.
|
| 50 |
-
"eval_loss": 1.
|
| 51 |
-
"eval_runtime":
|
| 52 |
-
"eval_samples_per_second": 15.
|
| 53 |
-
"eval_steps_per_second": 1.
|
| 54 |
"step": 1500
|
| 55 |
},
|
| 56 |
{
|
| 57 |
-
"epoch": 0.
|
| 58 |
-
"grad_norm":
|
| 59 |
-
"learning_rate": 4.
|
| 60 |
-
"loss": 0.
|
| 61 |
"step": 2000
|
| 62 |
},
|
| 63 |
{
|
| 64 |
-
"epoch": 0.
|
| 65 |
-
"eval_loss": 1.
|
| 66 |
-
"eval_runtime":
|
| 67 |
-
"eval_samples_per_second": 15.
|
| 68 |
"eval_steps_per_second": 1.962,
|
| 69 |
"step": 2000
|
| 70 |
},
|
| 71 |
{
|
| 72 |
-
"epoch": 0.
|
| 73 |
-
"grad_norm":
|
| 74 |
-
"learning_rate": 4.
|
| 75 |
-
"loss": 0.
|
| 76 |
"step": 2500
|
| 77 |
},
|
| 78 |
{
|
| 79 |
-
"epoch": 0.
|
| 80 |
-
"eval_loss": 1.
|
| 81 |
-
"eval_runtime":
|
| 82 |
-
"eval_samples_per_second": 15.
|
| 83 |
-
"eval_steps_per_second": 1.
|
| 84 |
"step": 2500
|
| 85 |
},
|
| 86 |
{
|
| 87 |
-
"epoch": 0.
|
| 88 |
-
"grad_norm":
|
| 89 |
-
"learning_rate": 4.
|
| 90 |
-
"loss": 0.
|
| 91 |
"step": 3000
|
| 92 |
},
|
| 93 |
{
|
| 94 |
-
"epoch": 0.
|
| 95 |
-
"eval_loss": 1.
|
| 96 |
-
"eval_runtime":
|
| 97 |
-
"eval_samples_per_second": 15.
|
| 98 |
-
"eval_steps_per_second": 1.
|
| 99 |
"step": 3000
|
| 100 |
},
|
| 101 |
{
|
| 102 |
-
"epoch": 0.
|
| 103 |
-
"grad_norm":
|
| 104 |
-
"learning_rate":
|
| 105 |
-
"loss": 0.
|
| 106 |
"step": 3500
|
| 107 |
},
|
| 108 |
{
|
| 109 |
-
"epoch": 0.
|
| 110 |
-
"eval_loss": 1.
|
| 111 |
-
"eval_runtime":
|
| 112 |
-
"eval_samples_per_second": 15.
|
| 113 |
-
"eval_steps_per_second": 1.
|
| 114 |
"step": 3500
|
| 115 |
},
|
| 116 |
{
|
| 117 |
-
"epoch": 0.
|
| 118 |
-
"grad_norm":
|
| 119 |
-
"learning_rate":
|
| 120 |
-
"loss": 0.
|
| 121 |
"step": 4000
|
| 122 |
},
|
| 123 |
{
|
| 124 |
-
"epoch": 0.
|
| 125 |
-
"eval_loss": 1.
|
| 126 |
-
"eval_runtime":
|
| 127 |
-
"eval_samples_per_second": 15.
|
| 128 |
-
"eval_steps_per_second": 1.
|
| 129 |
"step": 4000
|
| 130 |
},
|
| 131 |
{
|
| 132 |
-
"epoch": 0.
|
| 133 |
-
"grad_norm":
|
| 134 |
-
"learning_rate":
|
| 135 |
-
"loss": 0.
|
| 136 |
"step": 4500
|
| 137 |
},
|
| 138 |
{
|
| 139 |
-
"epoch": 0.
|
| 140 |
-
"eval_loss": 1.
|
| 141 |
-
"eval_runtime":
|
| 142 |
-
"eval_samples_per_second": 15.
|
| 143 |
-
"eval_steps_per_second": 1.
|
| 144 |
"step": 4500
|
| 145 |
},
|
| 146 |
{
|
| 147 |
-
"epoch": 0.
|
| 148 |
-
"grad_norm":
|
| 149 |
-
"learning_rate":
|
| 150 |
-
"loss": 0.
|
| 151 |
"step": 5000
|
| 152 |
},
|
| 153 |
{
|
| 154 |
-
"epoch": 0.
|
| 155 |
-
"eval_loss": 1.
|
| 156 |
-
"eval_runtime":
|
| 157 |
-
"eval_samples_per_second": 15.
|
| 158 |
-
"eval_steps_per_second": 1.
|
| 159 |
"step": 5000
|
| 160 |
},
|
| 161 |
{
|
| 162 |
-
"epoch":
|
| 163 |
-
"grad_norm": 0.
|
| 164 |
-
"learning_rate":
|
| 165 |
-
"loss": 0.
|
| 166 |
"step": 5500
|
| 167 |
},
|
| 168 |
{
|
| 169 |
-
"epoch":
|
| 170 |
-
"eval_loss": 1.
|
| 171 |
-
"eval_runtime":
|
| 172 |
-
"eval_samples_per_second":
|
| 173 |
-
"eval_steps_per_second":
|
| 174 |
"step": 5500
|
| 175 |
},
|
| 176 |
{
|
| 177 |
-
"epoch":
|
| 178 |
-
"grad_norm":
|
| 179 |
-
"learning_rate": 3.
|
| 180 |
-
"loss": 0.
|
| 181 |
"step": 6000
|
| 182 |
},
|
| 183 |
{
|
| 184 |
-
"epoch":
|
| 185 |
-
"eval_loss": 1.
|
| 186 |
-
"eval_runtime":
|
| 187 |
-
"eval_samples_per_second": 15.
|
| 188 |
-
"eval_steps_per_second": 1.
|
| 189 |
"step": 6000
|
| 190 |
},
|
| 191 |
{
|
| 192 |
-
"epoch":
|
| 193 |
-
"grad_norm":
|
| 194 |
-
"learning_rate": 3.
|
| 195 |
-
"loss": 0.
|
| 196 |
"step": 6500
|
| 197 |
},
|
| 198 |
{
|
| 199 |
-
"epoch":
|
| 200 |
-
"eval_loss": 1.
|
| 201 |
-
"eval_runtime":
|
| 202 |
-
"eval_samples_per_second": 15.
|
| 203 |
-
"eval_steps_per_second": 1.
|
| 204 |
"step": 6500
|
| 205 |
},
|
| 206 |
{
|
| 207 |
-
"epoch":
|
| 208 |
-
"grad_norm": 0.
|
| 209 |
-
"learning_rate":
|
| 210 |
-
"loss": 0.
|
| 211 |
"step": 7000
|
| 212 |
},
|
| 213 |
{
|
| 214 |
-
"epoch":
|
| 215 |
-
"eval_loss": 1.
|
| 216 |
-
"eval_runtime":
|
| 217 |
-
"eval_samples_per_second": 15.
|
| 218 |
-
"eval_steps_per_second": 1.
|
| 219 |
"step": 7000
|
| 220 |
},
|
| 221 |
{
|
| 222 |
-
"epoch":
|
| 223 |
-
"grad_norm":
|
| 224 |
-
"learning_rate":
|
| 225 |
-
"loss": 0.
|
| 226 |
"step": 7500
|
| 227 |
},
|
| 228 |
{
|
| 229 |
-
"epoch":
|
| 230 |
-
"eval_loss":
|
| 231 |
-
"eval_runtime":
|
| 232 |
-
"eval_samples_per_second": 15.
|
| 233 |
-
"eval_steps_per_second": 1.
|
| 234 |
"step": 7500
|
| 235 |
},
|
| 236 |
{
|
| 237 |
-
"epoch":
|
| 238 |
-
"grad_norm":
|
| 239 |
-
"learning_rate":
|
| 240 |
-
"loss": 0.
|
| 241 |
"step": 8000
|
| 242 |
},
|
| 243 |
{
|
| 244 |
-
"epoch":
|
| 245 |
-
"eval_loss":
|
| 246 |
-
"eval_runtime":
|
| 247 |
-
"eval_samples_per_second":
|
| 248 |
-
"eval_steps_per_second":
|
| 249 |
"step": 8000
|
| 250 |
},
|
| 251 |
{
|
| 252 |
-
"epoch":
|
| 253 |
-
"grad_norm":
|
| 254 |
-
"learning_rate":
|
| 255 |
-
"loss": 0.
|
| 256 |
"step": 8500
|
| 257 |
},
|
| 258 |
{
|
| 259 |
-
"epoch":
|
| 260 |
-
"eval_loss":
|
| 261 |
-
"eval_runtime":
|
| 262 |
-
"eval_samples_per_second": 15.
|
| 263 |
-
"eval_steps_per_second": 1.
|
| 264 |
"step": 8500
|
| 265 |
},
|
| 266 |
{
|
| 267 |
-
"epoch":
|
| 268 |
-
"grad_norm":
|
| 269 |
-
"learning_rate":
|
| 270 |
-
"loss": 0.
|
| 271 |
"step": 9000
|
| 272 |
},
|
| 273 |
{
|
| 274 |
-
"epoch":
|
| 275 |
-
"eval_loss":
|
| 276 |
-
"eval_runtime":
|
| 277 |
-
"eval_samples_per_second":
|
| 278 |
-
"eval_steps_per_second":
|
| 279 |
"step": 9000
|
| 280 |
},
|
| 281 |
{
|
| 282 |
-
"epoch": 1.
|
| 283 |
-
"grad_norm":
|
| 284 |
-
"learning_rate":
|
| 285 |
-
"loss": 0.
|
| 286 |
"step": 9500
|
| 287 |
},
|
| 288 |
{
|
| 289 |
-
"epoch": 1.
|
| 290 |
-
"eval_loss": 0.
|
| 291 |
-
"eval_runtime":
|
| 292 |
-
"eval_samples_per_second": 15.
|
| 293 |
-
"eval_steps_per_second":
|
| 294 |
"step": 9500
|
| 295 |
},
|
| 296 |
{
|
| 297 |
-
"epoch": 1.
|
| 298 |
-
"grad_norm":
|
| 299 |
-
"learning_rate":
|
| 300 |
-
"loss": 0.
|
| 301 |
"step": 10000
|
| 302 |
},
|
| 303 |
{
|
| 304 |
-
"epoch": 1.
|
| 305 |
-
"eval_loss": 0.
|
| 306 |
-
"eval_runtime":
|
| 307 |
-
"eval_samples_per_second": 15.
|
| 308 |
-
"eval_steps_per_second": 1.
|
| 309 |
"step": 10000
|
| 310 |
},
|
| 311 |
{
|
| 312 |
-
"epoch": 1.
|
| 313 |
-
"grad_norm":
|
| 314 |
-
"learning_rate":
|
| 315 |
-
"loss": 0.
|
| 316 |
"step": 10500
|
| 317 |
},
|
| 318 |
{
|
| 319 |
-
"epoch": 1.
|
| 320 |
-
"eval_loss": 0.
|
| 321 |
-
"eval_runtime":
|
| 322 |
-
"eval_samples_per_second":
|
| 323 |
-
"eval_steps_per_second":
|
| 324 |
"step": 10500
|
| 325 |
},
|
| 326 |
{
|
| 327 |
-
"epoch":
|
| 328 |
-
"grad_norm":
|
| 329 |
-
"learning_rate":
|
| 330 |
-
"loss": 0.
|
| 331 |
"step": 11000
|
| 332 |
},
|
| 333 |
{
|
| 334 |
-
"epoch":
|
| 335 |
-
"eval_loss": 0.
|
| 336 |
-
"eval_runtime":
|
| 337 |
-
"eval_samples_per_second": 15.
|
| 338 |
-
"eval_steps_per_second":
|
| 339 |
"step": 11000
|
| 340 |
},
|
| 341 |
{
|
| 342 |
-
"epoch":
|
| 343 |
-
"grad_norm":
|
| 344 |
-
"learning_rate":
|
| 345 |
-
"loss": 0.
|
| 346 |
"step": 11500
|
| 347 |
},
|
| 348 |
{
|
| 349 |
-
"epoch":
|
| 350 |
-
"eval_loss": 0.
|
| 351 |
-
"eval_runtime":
|
| 352 |
-
"eval_samples_per_second": 15.
|
| 353 |
-
"eval_steps_per_second": 1.
|
| 354 |
"step": 11500
|
| 355 |
},
|
| 356 |
{
|
| 357 |
-
"epoch":
|
| 358 |
-
"grad_norm":
|
| 359 |
-
"learning_rate":
|
| 360 |
-
"loss": 0.
|
| 361 |
"step": 12000
|
| 362 |
},
|
| 363 |
{
|
| 364 |
-
"epoch":
|
| 365 |
-
"eval_loss": 0.
|
| 366 |
-
"eval_runtime":
|
| 367 |
-
"eval_samples_per_second":
|
| 368 |
-
"eval_steps_per_second":
|
| 369 |
"step": 12000
|
| 370 |
},
|
| 371 |
{
|
| 372 |
-
"epoch":
|
| 373 |
-
"grad_norm":
|
| 374 |
-
"learning_rate":
|
| 375 |
-
"loss": 0.
|
| 376 |
"step": 12500
|
| 377 |
},
|
| 378 |
{
|
| 379 |
-
"epoch":
|
| 380 |
-
"eval_loss": 0.
|
| 381 |
-
"eval_runtime":
|
| 382 |
-
"eval_samples_per_second": 15.
|
| 383 |
-
"eval_steps_per_second": 1.
|
| 384 |
"step": 12500
|
| 385 |
},
|
| 386 |
{
|
| 387 |
-
"epoch":
|
| 388 |
-
"grad_norm": 0.
|
| 389 |
-
"learning_rate":
|
| 390 |
-
"loss": 0.
|
| 391 |
"step": 13000
|
| 392 |
},
|
| 393 |
{
|
| 394 |
-
"epoch":
|
| 395 |
-
"eval_loss": 0.
|
| 396 |
-
"eval_runtime":
|
| 397 |
-
"eval_samples_per_second": 15.
|
| 398 |
-
"eval_steps_per_second": 1.
|
| 399 |
"step": 13000
|
| 400 |
},
|
| 401 |
{
|
| 402 |
-
"epoch":
|
| 403 |
-
"grad_norm":
|
| 404 |
-
"learning_rate":
|
| 405 |
-
"loss": 0.
|
| 406 |
"step": 13500
|
| 407 |
},
|
| 408 |
{
|
| 409 |
-
"epoch":
|
| 410 |
-
"eval_loss": 0.
|
| 411 |
-
"eval_runtime":
|
| 412 |
-
"eval_samples_per_second":
|
| 413 |
-
"eval_steps_per_second":
|
| 414 |
"step": 13500
|
| 415 |
}
|
| 416 |
],
|
| 417 |
"logging_steps": 500,
|
| 418 |
-
"max_steps":
|
| 419 |
"num_input_tokens_seen": 0,
|
| 420 |
"num_train_epochs": 3,
|
| 421 |
"save_steps": 500,
|
|
|
|
| 1 |
{
|
| 2 |
+
"best_metric": 0.9353039860725403,
|
| 3 |
"best_model_checkpoint": "./output/clip-finetuned-csu-p14-336-e3l58-l/checkpoint-13500",
|
| 4 |
+
"epoch": 1.4398464163822526,
|
| 5 |
"eval_steps": 500,
|
| 6 |
"global_step": 13500,
|
| 7 |
"is_hyper_param_search": false,
|
|
|
|
| 9 |
"is_world_process_zero": true,
|
| 10 |
"log_history": [
|
| 11 |
{
|
| 12 |
+
"epoch": 0.05332764505119454,
|
| 13 |
+
"grad_norm": 217.40109252929688,
|
| 14 |
+
"learning_rate": 4.911120591581342e-08,
|
| 15 |
+
"loss": 0.4667,
|
| 16 |
"step": 500
|
| 17 |
},
|
| 18 |
{
|
| 19 |
+
"epoch": 0.05332764505119454,
|
| 20 |
+
"eval_loss": 1.4427576065063477,
|
| 21 |
+
"eval_runtime": 60.328,
|
| 22 |
+
"eval_samples_per_second": 16.361,
|
| 23 |
+
"eval_steps_per_second": 2.055,
|
| 24 |
"step": 500
|
| 25 |
},
|
| 26 |
{
|
| 27 |
+
"epoch": 0.10665529010238908,
|
| 28 |
+
"grad_norm": 70.38941955566406,
|
| 29 |
+
"learning_rate": 4.822241183162685e-08,
|
| 30 |
+
"loss": 0.4534,
|
| 31 |
"step": 1000
|
| 32 |
},
|
| 33 |
{
|
| 34 |
+
"epoch": 0.10665529010238908,
|
| 35 |
+
"eval_loss": 1.3823094367980957,
|
| 36 |
+
"eval_runtime": 61.4884,
|
| 37 |
+
"eval_samples_per_second": 16.052,
|
| 38 |
+
"eval_steps_per_second": 2.017,
|
| 39 |
"step": 1000
|
| 40 |
},
|
| 41 |
{
|
| 42 |
+
"epoch": 0.1599829351535836,
|
| 43 |
+
"grad_norm": 389.9967956542969,
|
| 44 |
+
"learning_rate": 4.733361774744027e-08,
|
| 45 |
+
"loss": 0.3753,
|
| 46 |
"step": 1500
|
| 47 |
},
|
| 48 |
{
|
| 49 |
+
"epoch": 0.1599829351535836,
|
| 50 |
+
"eval_loss": 1.3328827619552612,
|
| 51 |
+
"eval_runtime": 63.0378,
|
| 52 |
+
"eval_samples_per_second": 15.657,
|
| 53 |
+
"eval_steps_per_second": 1.967,
|
| 54 |
"step": 1500
|
| 55 |
},
|
| 56 |
{
|
| 57 |
+
"epoch": 0.21331058020477817,
|
| 58 |
+
"grad_norm": 13.427445411682129,
|
| 59 |
+
"learning_rate": 4.6444823663253694e-08,
|
| 60 |
+
"loss": 0.3361,
|
| 61 |
"step": 2000
|
| 62 |
},
|
| 63 |
{
|
| 64 |
+
"epoch": 0.21331058020477817,
|
| 65 |
+
"eval_loss": 1.2922736406326294,
|
| 66 |
+
"eval_runtime": 63.1958,
|
| 67 |
+
"eval_samples_per_second": 15.618,
|
| 68 |
"eval_steps_per_second": 1.962,
|
| 69 |
"step": 2000
|
| 70 |
},
|
| 71 |
{
|
| 72 |
+
"epoch": 0.2666382252559727,
|
| 73 |
+
"grad_norm": 320.7197265625,
|
| 74 |
+
"learning_rate": 4.555602957906712e-08,
|
| 75 |
+
"loss": 0.3597,
|
| 76 |
"step": 2500
|
| 77 |
},
|
| 78 |
{
|
| 79 |
+
"epoch": 0.2666382252559727,
|
| 80 |
+
"eval_loss": 1.257211685180664,
|
| 81 |
+
"eval_runtime": 63.3241,
|
| 82 |
+
"eval_samples_per_second": 15.586,
|
| 83 |
+
"eval_steps_per_second": 1.958,
|
| 84 |
"step": 2500
|
| 85 |
},
|
| 86 |
{
|
| 87 |
+
"epoch": 0.3199658703071672,
|
| 88 |
+
"grad_norm": 0.0019184721168130636,
|
| 89 |
+
"learning_rate": 4.4667235494880546e-08,
|
| 90 |
+
"loss": 0.3042,
|
| 91 |
"step": 3000
|
| 92 |
},
|
| 93 |
{
|
| 94 |
+
"epoch": 0.3199658703071672,
|
| 95 |
+
"eval_loss": 1.2240594625473022,
|
| 96 |
+
"eval_runtime": 63.5118,
|
| 97 |
+
"eval_samples_per_second": 15.54,
|
| 98 |
+
"eval_steps_per_second": 1.952,
|
| 99 |
"step": 3000
|
| 100 |
},
|
| 101 |
{
|
| 102 |
+
"epoch": 0.37329351535836175,
|
| 103 |
+
"grad_norm": 11.738512992858887,
|
| 104 |
+
"learning_rate": 4.3778441410693965e-08,
|
| 105 |
+
"loss": 0.3252,
|
| 106 |
"step": 3500
|
| 107 |
},
|
| 108 |
{
|
| 109 |
+
"epoch": 0.37329351535836175,
|
| 110 |
+
"eval_loss": 1.1988952159881592,
|
| 111 |
+
"eval_runtime": 63.5384,
|
| 112 |
+
"eval_samples_per_second": 15.534,
|
| 113 |
+
"eval_steps_per_second": 1.952,
|
| 114 |
"step": 3500
|
| 115 |
},
|
| 116 |
{
|
| 117 |
+
"epoch": 0.42662116040955633,
|
| 118 |
+
"grad_norm": 5.839956283569336,
|
| 119 |
+
"learning_rate": 4.28896473265074e-08,
|
| 120 |
+
"loss": 0.2439,
|
| 121 |
"step": 4000
|
| 122 |
},
|
| 123 |
{
|
| 124 |
+
"epoch": 0.42662116040955633,
|
| 125 |
+
"eval_loss": 1.1730674505233765,
|
| 126 |
+
"eval_runtime": 62.3497,
|
| 127 |
+
"eval_samples_per_second": 15.83,
|
| 128 |
+
"eval_steps_per_second": 1.989,
|
| 129 |
"step": 4000
|
| 130 |
},
|
| 131 |
{
|
| 132 |
+
"epoch": 0.47994880546075086,
|
| 133 |
+
"grad_norm": 154.76502990722656,
|
| 134 |
+
"learning_rate": 4.2000853242320816e-08,
|
| 135 |
+
"loss": 0.3004,
|
| 136 |
"step": 4500
|
| 137 |
},
|
| 138 |
{
|
| 139 |
+
"epoch": 0.47994880546075086,
|
| 140 |
+
"eval_loss": 1.1497682332992554,
|
| 141 |
+
"eval_runtime": 63.5491,
|
| 142 |
+
"eval_samples_per_second": 15.531,
|
| 143 |
+
"eval_steps_per_second": 1.951,
|
| 144 |
"step": 4500
|
| 145 |
},
|
| 146 |
{
|
| 147 |
+
"epoch": 0.5332764505119454,
|
| 148 |
+
"grad_norm": 0.13150489330291748,
|
| 149 |
+
"learning_rate": 4.111205915813424e-08,
|
| 150 |
+
"loss": 0.3205,
|
| 151 |
"step": 5000
|
| 152 |
},
|
| 153 |
{
|
| 154 |
+
"epoch": 0.5332764505119454,
|
| 155 |
+
"eval_loss": 1.1258739233016968,
|
| 156 |
+
"eval_runtime": 62.1884,
|
| 157 |
+
"eval_samples_per_second": 15.871,
|
| 158 |
+
"eval_steps_per_second": 1.994,
|
| 159 |
"step": 5000
|
| 160 |
},
|
| 161 |
{
|
| 162 |
+
"epoch": 0.58660409556314,
|
| 163 |
+
"grad_norm": 0.3719326853752136,
|
| 164 |
+
"learning_rate": 4.022326507394767e-08,
|
| 165 |
+
"loss": 0.3091,
|
| 166 |
"step": 5500
|
| 167 |
},
|
| 168 |
{
|
| 169 |
+
"epoch": 0.58660409556314,
|
| 170 |
+
"eval_loss": 1.1053005456924438,
|
| 171 |
+
"eval_runtime": 63.437,
|
| 172 |
+
"eval_samples_per_second": 15.559,
|
| 173 |
+
"eval_steps_per_second": 1.955,
|
| 174 |
"step": 5500
|
| 175 |
},
|
| 176 |
{
|
| 177 |
+
"epoch": 0.6399317406143344,
|
| 178 |
+
"grad_norm": 170.89846801757812,
|
| 179 |
+
"learning_rate": 3.9334470989761093e-08,
|
| 180 |
+
"loss": 0.2657,
|
| 181 |
"step": 6000
|
| 182 |
},
|
| 183 |
{
|
| 184 |
+
"epoch": 0.6399317406143344,
|
| 185 |
+
"eval_loss": 1.0857468843460083,
|
| 186 |
+
"eval_runtime": 62.4055,
|
| 187 |
+
"eval_samples_per_second": 15.816,
|
| 188 |
+
"eval_steps_per_second": 1.987,
|
| 189 |
"step": 6000
|
| 190 |
},
|
| 191 |
{
|
| 192 |
+
"epoch": 0.693259385665529,
|
| 193 |
+
"grad_norm": 323.0997619628906,
|
| 194 |
+
"learning_rate": 3.844567690557451e-08,
|
| 195 |
+
"loss": 0.2251,
|
| 196 |
"step": 6500
|
| 197 |
},
|
| 198 |
{
|
| 199 |
+
"epoch": 0.693259385665529,
|
| 200 |
+
"eval_loss": 1.0695208311080933,
|
| 201 |
+
"eval_runtime": 63.1085,
|
| 202 |
+
"eval_samples_per_second": 15.64,
|
| 203 |
+
"eval_steps_per_second": 1.965,
|
| 204 |
"step": 6500
|
| 205 |
},
|
| 206 |
{
|
| 207 |
+
"epoch": 0.7465870307167235,
|
| 208 |
+
"grad_norm": 0.13254186511039734,
|
| 209 |
+
"learning_rate": 3.7556882821387945e-08,
|
| 210 |
+
"loss": 0.248,
|
| 211 |
"step": 7000
|
| 212 |
},
|
| 213 |
{
|
| 214 |
+
"epoch": 0.7465870307167235,
|
| 215 |
+
"eval_loss": 1.0535719394683838,
|
| 216 |
+
"eval_runtime": 62.3504,
|
| 217 |
+
"eval_samples_per_second": 15.83,
|
| 218 |
+
"eval_steps_per_second": 1.989,
|
| 219 |
"step": 7000
|
| 220 |
},
|
| 221 |
{
|
| 222 |
+
"epoch": 0.7999146757679181,
|
| 223 |
+
"grad_norm": 63.14700698852539,
|
| 224 |
+
"learning_rate": 3.6668088737201364e-08,
|
| 225 |
+
"loss": 0.2745,
|
| 226 |
"step": 7500
|
| 227 |
},
|
| 228 |
{
|
| 229 |
+
"epoch": 0.7999146757679181,
|
| 230 |
+
"eval_loss": 1.0388950109481812,
|
| 231 |
+
"eval_runtime": 62.2311,
|
| 232 |
+
"eval_samples_per_second": 15.86,
|
| 233 |
+
"eval_steps_per_second": 1.993,
|
| 234 |
"step": 7500
|
| 235 |
},
|
| 236 |
{
|
| 237 |
+
"epoch": 0.8532423208191127,
|
| 238 |
+
"grad_norm": 623.6299438476562,
|
| 239 |
+
"learning_rate": 3.577929465301478e-08,
|
| 240 |
+
"loss": 0.2857,
|
| 241 |
"step": 8000
|
| 242 |
},
|
| 243 |
{
|
| 244 |
+
"epoch": 0.8532423208191127,
|
| 245 |
+
"eval_loss": 1.0260424613952637,
|
| 246 |
+
"eval_runtime": 62.2792,
|
| 247 |
+
"eval_samples_per_second": 15.848,
|
| 248 |
+
"eval_steps_per_second": 1.991,
|
| 249 |
"step": 8000
|
| 250 |
},
|
| 251 |
{
|
| 252 |
+
"epoch": 0.9065699658703071,
|
| 253 |
+
"grad_norm": 155.54579162597656,
|
| 254 |
+
"learning_rate": 3.4890500568828216e-08,
|
| 255 |
+
"loss": 0.2365,
|
| 256 |
"step": 8500
|
| 257 |
},
|
| 258 |
{
|
| 259 |
+
"epoch": 0.9065699658703071,
|
| 260 |
+
"eval_loss": 1.0136038064956665,
|
| 261 |
+
"eval_runtime": 62.583,
|
| 262 |
+
"eval_samples_per_second": 15.771,
|
| 263 |
+
"eval_steps_per_second": 1.981,
|
| 264 |
"step": 8500
|
| 265 |
},
|
| 266 |
{
|
| 267 |
+
"epoch": 0.9598976109215017,
|
| 268 |
+
"grad_norm": 76.14079284667969,
|
| 269 |
+
"learning_rate": 3.4001706484641635e-08,
|
| 270 |
+
"loss": 0.2382,
|
| 271 |
"step": 9000
|
| 272 |
},
|
| 273 |
{
|
| 274 |
+
"epoch": 0.9598976109215017,
|
| 275 |
+
"eval_loss": 1.0034172534942627,
|
| 276 |
+
"eval_runtime": 63.5592,
|
| 277 |
+
"eval_samples_per_second": 15.529,
|
| 278 |
+
"eval_steps_per_second": 1.951,
|
| 279 |
"step": 9000
|
| 280 |
},
|
| 281 |
{
|
| 282 |
+
"epoch": 1.0132252559726962,
|
| 283 |
+
"grad_norm": 571.6434936523438,
|
| 284 |
+
"learning_rate": 3.311291240045506e-08,
|
| 285 |
+
"loss": 0.2419,
|
| 286 |
"step": 9500
|
| 287 |
},
|
| 288 |
{
|
| 289 |
+
"epoch": 1.0132252559726962,
|
| 290 |
+
"eval_loss": 0.994463324546814,
|
| 291 |
+
"eval_runtime": 61.8407,
|
| 292 |
+
"eval_samples_per_second": 15.96,
|
| 293 |
+
"eval_steps_per_second": 2.005,
|
| 294 |
"step": 9500
|
| 295 |
},
|
| 296 |
{
|
| 297 |
+
"epoch": 1.0665529010238908,
|
| 298 |
+
"grad_norm": 540.1460571289062,
|
| 299 |
+
"learning_rate": 3.2224118316268486e-08,
|
| 300 |
+
"loss": 0.2047,
|
| 301 |
"step": 10000
|
| 302 |
},
|
| 303 |
{
|
| 304 |
+
"epoch": 1.0665529010238908,
|
| 305 |
+
"eval_loss": 0.9851205348968506,
|
| 306 |
+
"eval_runtime": 62.1686,
|
| 307 |
+
"eval_samples_per_second": 15.876,
|
| 308 |
+
"eval_steps_per_second": 1.995,
|
| 309 |
"step": 10000
|
| 310 |
},
|
| 311 |
{
|
| 312 |
+
"epoch": 1.1198805460750854,
|
| 313 |
+
"grad_norm": 6.2389655113220215,
|
| 314 |
+
"learning_rate": 3.133532423208191e-08,
|
| 315 |
+
"loss": 0.2133,
|
| 316 |
"step": 10500
|
| 317 |
},
|
| 318 |
{
|
| 319 |
+
"epoch": 1.1198805460750854,
|
| 320 |
+
"eval_loss": 0.9759647250175476,
|
| 321 |
+
"eval_runtime": 62.8691,
|
| 322 |
+
"eval_samples_per_second": 15.699,
|
| 323 |
+
"eval_steps_per_second": 1.972,
|
| 324 |
"step": 10500
|
| 325 |
},
|
| 326 |
{
|
| 327 |
+
"epoch": 1.17320819112628,
|
| 328 |
+
"grad_norm": 321.5069885253906,
|
| 329 |
+
"learning_rate": 3.044653014789533e-08,
|
| 330 |
+
"loss": 0.207,
|
| 331 |
"step": 11000
|
| 332 |
},
|
| 333 |
{
|
| 334 |
+
"epoch": 1.17320819112628,
|
| 335 |
+
"eval_loss": 0.9683472514152527,
|
| 336 |
+
"eval_runtime": 61.915,
|
| 337 |
+
"eval_samples_per_second": 15.941,
|
| 338 |
+
"eval_steps_per_second": 2.003,
|
| 339 |
"step": 11000
|
| 340 |
},
|
| 341 |
{
|
| 342 |
+
"epoch": 1.2265358361774745,
|
| 343 |
+
"grad_norm": 0.0028632767498493195,
|
| 344 |
+
"learning_rate": 2.955773606370876e-08,
|
| 345 |
+
"loss": 0.2369,
|
| 346 |
"step": 11500
|
| 347 |
},
|
| 348 |
{
|
| 349 |
+
"epoch": 1.2265358361774745,
|
| 350 |
+
"eval_loss": 0.9597958922386169,
|
| 351 |
+
"eval_runtime": 62.4216,
|
| 352 |
+
"eval_samples_per_second": 15.812,
|
| 353 |
+
"eval_steps_per_second": 1.986,
|
| 354 |
"step": 11500
|
| 355 |
},
|
| 356 |
{
|
| 357 |
+
"epoch": 1.2798634812286689,
|
| 358 |
+
"grad_norm": 1.046075701713562,
|
| 359 |
+
"learning_rate": 2.8668941979522183e-08,
|
| 360 |
+
"loss": 0.1834,
|
| 361 |
"step": 12000
|
| 362 |
},
|
| 363 |
{
|
| 364 |
+
"epoch": 1.2798634812286689,
|
| 365 |
+
"eval_loss": 0.9528058767318726,
|
| 366 |
+
"eval_runtime": 62.9687,
|
| 367 |
+
"eval_samples_per_second": 15.674,
|
| 368 |
+
"eval_steps_per_second": 1.969,
|
| 369 |
"step": 12000
|
| 370 |
},
|
| 371 |
{
|
| 372 |
+
"epoch": 1.3331911262798635,
|
| 373 |
+
"grad_norm": 0.01093329768627882,
|
| 374 |
+
"learning_rate": 2.778014789533561e-08,
|
| 375 |
+
"loss": 0.2002,
|
| 376 |
"step": 12500
|
| 377 |
},
|
| 378 |
{
|
| 379 |
+
"epoch": 1.3331911262798635,
|
| 380 |
+
"eval_loss": 0.9465218782424927,
|
| 381 |
+
"eval_runtime": 62.0222,
|
| 382 |
+
"eval_samples_per_second": 15.914,
|
| 383 |
+
"eval_steps_per_second": 1.999,
|
| 384 |
"step": 12500
|
| 385 |
},
|
| 386 |
{
|
| 387 |
+
"epoch": 1.386518771331058,
|
| 388 |
+
"grad_norm": 0.13472874462604523,
|
| 389 |
+
"learning_rate": 2.689135381114903e-08,
|
| 390 |
+
"loss": 0.1918,
|
| 391 |
"step": 13000
|
| 392 |
},
|
| 393 |
{
|
| 394 |
+
"epoch": 1.386518771331058,
|
| 395 |
+
"eval_loss": 0.9417626857757568,
|
| 396 |
+
"eval_runtime": 62.4603,
|
| 397 |
+
"eval_samples_per_second": 15.802,
|
| 398 |
+
"eval_steps_per_second": 1.985,
|
| 399 |
"step": 13000
|
| 400 |
},
|
| 401 |
{
|
| 402 |
+
"epoch": 1.4398464163822526,
|
| 403 |
+
"grad_norm": 19.54829216003418,
|
| 404 |
+
"learning_rate": 2.600255972696246e-08,
|
| 405 |
+
"loss": 0.2264,
|
| 406 |
"step": 13500
|
| 407 |
},
|
| 408 |
{
|
| 409 |
+
"epoch": 1.4398464163822526,
|
| 410 |
+
"eval_loss": 0.9353039860725403,
|
| 411 |
+
"eval_runtime": 63.2324,
|
| 412 |
+
"eval_samples_per_second": 15.609,
|
| 413 |
+
"eval_steps_per_second": 1.961,
|
| 414 |
"step": 13500
|
| 415 |
}
|
| 416 |
],
|
| 417 |
"logging_steps": 500,
|
| 418 |
+
"max_steps": 28128,
|
| 419 |
"num_input_tokens_seen": 0,
|
| 420 |
"num_train_epochs": 3,
|
| 421 |
"save_steps": 500,
|
checkpoint-13500/training_args.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 4847
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:590a3eed3f4b2ba9fcb0b831d5e4c3f2410a46be8f57155ebf9fdd97c6c96524
|
| 3 |
size 4847
|