Commit
·
cbb0219
1
Parent(s):
960d107
Update fine-tuned model
Browse files- adapter_config.json +5 -5
- adapter_model.safetensors +1 -1
- optimizer.pt +1 -1
- rng_state.pth +1 -1
- scheduler.pt +1 -1
- trainer_state.json +405 -755
- training_args.bin +1 -1
adapter_config.json
CHANGED
|
@@ -23,13 +23,13 @@
|
|
| 23 |
"rank_pattern": {},
|
| 24 |
"revision": null,
|
| 25 |
"target_modules": [
|
| 26 |
-
"
|
| 27 |
-
"o_proj",
|
| 28 |
-
"up_proj",
|
| 29 |
-
"v_proj",
|
| 30 |
"down_proj",
|
|
|
|
|
|
|
|
|
|
| 31 |
"q_proj",
|
| 32 |
-
"
|
| 33 |
],
|
| 34 |
"task_type": "CAUSAL_LM",
|
| 35 |
"use_dora": false,
|
|
|
|
| 23 |
"rank_pattern": {},
|
| 24 |
"revision": null,
|
| 25 |
"target_modules": [
|
| 26 |
+
"gate_proj",
|
|
|
|
|
|
|
|
|
|
| 27 |
"down_proj",
|
| 28 |
+
"v_proj",
|
| 29 |
+
"up_proj",
|
| 30 |
+
"o_proj",
|
| 31 |
"q_proj",
|
| 32 |
+
"k_proj"
|
| 33 |
],
|
| 34 |
"task_type": "CAUSAL_LM",
|
| 35 |
"use_dora": false,
|
adapter_model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 159967880
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:dc6a40ff3d37d8bf4cbd39b104eda057f3448f96f9e8547f016be36df6a3e524
|
| 3 |
size 159967880
|
optimizer.pt
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 852876198
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:657628d5d155d79b9aad8789e0951663eaa204fb58bf12b323c023fffe2b0085
|
| 3 |
size 852876198
|
rng_state.pth
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 14244
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:1dbbb3800d4095b7540d07b5bcccd341ea22380b31ae2d3484b7f5c78f026c73
|
| 3 |
size 14244
|
scheduler.pt
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 1064
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:3a60c7d771c1fd156acee762fba03c724cb41829a3f71df370ecd1d20b134982
|
| 3 |
size 1064
|
trainer_state.json
CHANGED
|
@@ -1,1068 +1,718 @@
|
|
| 1 |
{
|
| 2 |
"best_metric": null,
|
| 3 |
"best_model_checkpoint": null,
|
| 4 |
-
"epoch":
|
| 5 |
"eval_steps": 500,
|
| 6 |
-
"global_step":
|
| 7 |
"is_hyper_param_search": false,
|
| 8 |
"is_local_process_zero": true,
|
| 9 |
"is_world_process_zero": true,
|
| 10 |
"log_history": [
|
| 11 |
{
|
| 12 |
-
"epoch": 0.
|
| 13 |
-
"grad_norm": 0.
|
| 14 |
-
"learning_rate":
|
| 15 |
-
"loss": 0.
|
| 16 |
"step": 1
|
| 17 |
},
|
| 18 |
{
|
| 19 |
-
"epoch": 0.
|
| 20 |
-
"grad_norm":
|
| 21 |
-
"learning_rate":
|
| 22 |
-
"loss": 0.
|
| 23 |
"step": 2
|
| 24 |
},
|
| 25 |
{
|
| 26 |
-
"epoch": 0.
|
| 27 |
-
"grad_norm": 0.
|
| 28 |
-
"learning_rate":
|
| 29 |
-
"loss": 0.
|
| 30 |
"step": 3
|
| 31 |
},
|
| 32 |
{
|
| 33 |
-
"epoch": 0.
|
| 34 |
-
"grad_norm": 0.
|
| 35 |
-
"learning_rate": 0.
|
| 36 |
-
"loss": 0.
|
| 37 |
"step": 4
|
| 38 |
},
|
| 39 |
{
|
| 40 |
-
"epoch": 0.
|
| 41 |
-
"grad_norm": 0.
|
| 42 |
-
"learning_rate": 0.
|
| 43 |
-
"loss": 0.
|
| 44 |
"step": 5
|
| 45 |
},
|
| 46 |
{
|
| 47 |
-
"epoch": 0.
|
| 48 |
-
"grad_norm": 0.
|
| 49 |
-
"learning_rate": 0.
|
| 50 |
-
"loss": 0.
|
| 51 |
"step": 6
|
| 52 |
},
|
| 53 |
{
|
| 54 |
-
"epoch": 0.
|
| 55 |
-
"grad_norm": 0.
|
| 56 |
-
"learning_rate": 0.
|
| 57 |
-
"loss": 0.
|
| 58 |
"step": 7
|
| 59 |
},
|
| 60 |
{
|
| 61 |
-
"epoch": 0.
|
| 62 |
-
"grad_norm": 0.
|
| 63 |
-
"learning_rate": 0.
|
| 64 |
-
"loss": 0.
|
| 65 |
"step": 8
|
| 66 |
},
|
| 67 |
{
|
| 68 |
-
"epoch": 0.
|
| 69 |
-
"grad_norm": 0.
|
| 70 |
-
"learning_rate": 0.
|
| 71 |
-
"loss": 0.
|
| 72 |
"step": 9
|
| 73 |
},
|
| 74 |
{
|
| 75 |
-
"epoch": 0.
|
| 76 |
-
"grad_norm": 0.
|
| 77 |
-
"learning_rate": 0.
|
| 78 |
-
"loss": 0.
|
| 79 |
"step": 10
|
| 80 |
},
|
| 81 |
{
|
| 82 |
-
"epoch": 0.
|
| 83 |
-
"grad_norm": 0.
|
| 84 |
-
"learning_rate": 0.
|
| 85 |
-
"loss": 0.
|
| 86 |
"step": 11
|
| 87 |
},
|
| 88 |
{
|
| 89 |
-
"epoch": 0.
|
| 90 |
-
"grad_norm": 0.
|
| 91 |
-
"learning_rate": 0.
|
| 92 |
-
"loss": 0.
|
| 93 |
"step": 12
|
| 94 |
},
|
| 95 |
{
|
| 96 |
-
"epoch": 0.
|
| 97 |
-
"grad_norm": 0.
|
| 98 |
-
"learning_rate": 0.
|
| 99 |
-
"loss": 0.
|
| 100 |
"step": 13
|
| 101 |
},
|
| 102 |
{
|
| 103 |
-
"epoch": 0.
|
| 104 |
-
"grad_norm": 0.
|
| 105 |
-
"learning_rate": 0.
|
| 106 |
-
"loss": 0.
|
| 107 |
"step": 14
|
| 108 |
},
|
| 109 |
{
|
| 110 |
-
"epoch": 0.
|
| 111 |
-
"grad_norm": 0.
|
| 112 |
-
"learning_rate": 0.
|
| 113 |
-
"loss": 0.
|
| 114 |
"step": 15
|
| 115 |
},
|
| 116 |
{
|
| 117 |
-
"epoch": 0.
|
| 118 |
-
"grad_norm": 0.
|
| 119 |
-
"learning_rate": 0.
|
| 120 |
-
"loss": 0.
|
| 121 |
"step": 16
|
| 122 |
},
|
| 123 |
{
|
| 124 |
-
"epoch": 0.
|
| 125 |
-
"grad_norm": 0.
|
| 126 |
-
"learning_rate": 0.
|
| 127 |
-
"loss": 0.
|
| 128 |
"step": 17
|
| 129 |
},
|
| 130 |
{
|
| 131 |
-
"epoch": 0.
|
| 132 |
-
"grad_norm": 0.
|
| 133 |
-
"learning_rate": 0.
|
| 134 |
-
"loss": 0.
|
| 135 |
"step": 18
|
| 136 |
},
|
| 137 |
{
|
| 138 |
-
"epoch": 0.
|
| 139 |
-
"grad_norm": 0.
|
| 140 |
-
"learning_rate": 0.
|
| 141 |
-
"loss": 0.
|
| 142 |
"step": 19
|
| 143 |
},
|
| 144 |
{
|
| 145 |
-
"epoch": 0.
|
| 146 |
-
"grad_norm": 0.
|
| 147 |
-
"learning_rate": 0.
|
| 148 |
-
"loss": 0.
|
| 149 |
"step": 20
|
| 150 |
},
|
| 151 |
{
|
| 152 |
-
"epoch": 0.
|
| 153 |
-
"grad_norm": 0.
|
| 154 |
-
"learning_rate": 0.
|
| 155 |
-
"loss": 0.
|
| 156 |
"step": 21
|
| 157 |
},
|
| 158 |
{
|
| 159 |
-
"epoch": 0.
|
| 160 |
-
"grad_norm": 0.
|
| 161 |
-
"learning_rate": 0.
|
| 162 |
-
"loss": 0.
|
| 163 |
"step": 22
|
| 164 |
},
|
| 165 |
{
|
| 166 |
-
"epoch": 0.
|
| 167 |
-
"grad_norm": 0.
|
| 168 |
-
"learning_rate": 0.
|
| 169 |
-
"loss": 0.
|
| 170 |
"step": 23
|
| 171 |
},
|
| 172 |
{
|
| 173 |
-
"epoch": 0.
|
| 174 |
-
"grad_norm": 0.
|
| 175 |
-
"learning_rate": 0.
|
| 176 |
-
"loss": 0.
|
| 177 |
"step": 24
|
| 178 |
},
|
| 179 |
{
|
| 180 |
-
"epoch": 0.
|
| 181 |
-
"grad_norm": 0.
|
| 182 |
-
"learning_rate": 0.
|
| 183 |
-
"loss": 0.
|
| 184 |
"step": 25
|
| 185 |
},
|
| 186 |
{
|
| 187 |
-
"epoch": 0.
|
| 188 |
-
"grad_norm": 0.
|
| 189 |
-
"learning_rate": 0.
|
| 190 |
-
"loss": 0.
|
| 191 |
"step": 26
|
| 192 |
},
|
| 193 |
{
|
| 194 |
-
"epoch": 0.
|
| 195 |
-
"grad_norm": 0.
|
| 196 |
-
"learning_rate": 0.
|
| 197 |
-
"loss": 0.
|
| 198 |
"step": 27
|
| 199 |
},
|
| 200 |
{
|
| 201 |
-
"epoch": 0.
|
| 202 |
-
"grad_norm": 0.
|
| 203 |
-
"learning_rate": 0.
|
| 204 |
-
"loss": 0.
|
| 205 |
"step": 28
|
| 206 |
},
|
| 207 |
{
|
| 208 |
-
"epoch": 0.
|
| 209 |
-
"grad_norm": 0.
|
| 210 |
-
"learning_rate": 0.
|
| 211 |
-
"loss": 0.
|
| 212 |
"step": 29
|
| 213 |
},
|
| 214 |
{
|
| 215 |
-
"epoch": 0.
|
| 216 |
-
"grad_norm": 0.
|
| 217 |
-
"learning_rate": 0.
|
| 218 |
-
"loss": 0.
|
| 219 |
"step": 30
|
| 220 |
},
|
| 221 |
{
|
| 222 |
-
"epoch": 0.
|
| 223 |
-
"grad_norm": 0.
|
| 224 |
-
"learning_rate": 0.
|
| 225 |
-
"loss": 0.
|
| 226 |
"step": 31
|
| 227 |
},
|
| 228 |
{
|
| 229 |
-
"epoch": 0.
|
| 230 |
-
"grad_norm": 0.
|
| 231 |
-
"learning_rate": 0.
|
| 232 |
-
"loss": 0.
|
| 233 |
"step": 32
|
| 234 |
},
|
| 235 |
{
|
| 236 |
-
"epoch": 0.
|
| 237 |
-
"grad_norm": 0.
|
| 238 |
-
"learning_rate": 0.
|
| 239 |
-
"loss": 0.
|
| 240 |
"step": 33
|
| 241 |
},
|
| 242 |
{
|
| 243 |
-
"epoch": 0.
|
| 244 |
-
"grad_norm": 0.
|
| 245 |
-
"learning_rate": 0.
|
| 246 |
-
"loss": 0.
|
| 247 |
"step": 34
|
| 248 |
},
|
| 249 |
{
|
| 250 |
-
"epoch": 0.
|
| 251 |
-
"grad_norm": 0.
|
| 252 |
-
"learning_rate": 0.
|
| 253 |
-
"loss": 0.
|
| 254 |
"step": 35
|
| 255 |
},
|
| 256 |
{
|
| 257 |
-
"epoch": 0.
|
| 258 |
-
"grad_norm": 0.
|
| 259 |
-
"learning_rate": 0.
|
| 260 |
-
"loss": 0.
|
| 261 |
"step": 36
|
| 262 |
},
|
| 263 |
{
|
| 264 |
-
"epoch": 0.
|
| 265 |
-
"grad_norm": 0.
|
| 266 |
-
"learning_rate": 0.
|
| 267 |
-
"loss": 0.
|
| 268 |
"step": 37
|
| 269 |
},
|
| 270 |
{
|
| 271 |
-
"epoch": 0.
|
| 272 |
-
"grad_norm": 0.
|
| 273 |
-
"learning_rate": 0.
|
| 274 |
-
"loss": 0.
|
| 275 |
"step": 38
|
| 276 |
},
|
| 277 |
{
|
| 278 |
-
"epoch": 0.
|
| 279 |
-
"grad_norm": 0.
|
| 280 |
-
"learning_rate": 0.
|
| 281 |
-
"loss": 0.
|
| 282 |
"step": 39
|
| 283 |
},
|
| 284 |
{
|
| 285 |
-
"epoch": 0.
|
| 286 |
-
"grad_norm": 0.
|
| 287 |
-
"learning_rate": 0.
|
| 288 |
-
"loss": 0.
|
| 289 |
"step": 40
|
| 290 |
},
|
| 291 |
{
|
| 292 |
-
"epoch": 0.
|
| 293 |
-
"grad_norm": 0.
|
| 294 |
-
"learning_rate": 0.
|
| 295 |
-
"loss": 0.
|
| 296 |
"step": 41
|
| 297 |
},
|
| 298 |
{
|
| 299 |
-
"epoch": 0.
|
| 300 |
-
"grad_norm": 0.
|
| 301 |
-
"learning_rate": 0.
|
| 302 |
-
"loss": 0.
|
| 303 |
"step": 42
|
| 304 |
},
|
| 305 |
{
|
| 306 |
-
"epoch": 0.
|
| 307 |
-
"grad_norm": 0.
|
| 308 |
-
"learning_rate": 0.
|
| 309 |
-
"loss": 0.
|
| 310 |
"step": 43
|
| 311 |
},
|
| 312 |
{
|
| 313 |
-
"epoch": 0.
|
| 314 |
-
"grad_norm": 0.
|
| 315 |
-
"learning_rate": 0.
|
| 316 |
-
"loss": 0.
|
| 317 |
"step": 44
|
| 318 |
},
|
| 319 |
{
|
| 320 |
-
"epoch": 0.
|
| 321 |
-
"grad_norm": 0.
|
| 322 |
-
"learning_rate": 0.
|
| 323 |
-
"loss": 0.
|
| 324 |
"step": 45
|
| 325 |
},
|
| 326 |
{
|
| 327 |
-
"epoch": 0.
|
| 328 |
-
"grad_norm": 0.
|
| 329 |
-
"learning_rate": 0.
|
| 330 |
-
"loss": 0.
|
| 331 |
"step": 46
|
| 332 |
},
|
| 333 |
{
|
| 334 |
-
"epoch": 0.
|
| 335 |
-
"grad_norm": 0.
|
| 336 |
-
"learning_rate": 0.
|
| 337 |
-
"loss": 0.
|
| 338 |
"step": 47
|
| 339 |
},
|
| 340 |
{
|
| 341 |
-
"epoch": 0.
|
| 342 |
-
"grad_norm": 0.
|
| 343 |
-
"learning_rate": 0.
|
| 344 |
-
"loss": 0.
|
| 345 |
"step": 48
|
| 346 |
},
|
| 347 |
{
|
| 348 |
-
"epoch": 0.
|
| 349 |
-
"grad_norm": 0.
|
| 350 |
-
"learning_rate": 0.
|
| 351 |
-
"loss": 0.
|
| 352 |
"step": 49
|
| 353 |
},
|
| 354 |
{
|
| 355 |
-
"epoch":
|
| 356 |
-
"grad_norm": 0.
|
| 357 |
-
"learning_rate": 0.
|
| 358 |
-
"loss": 0.
|
| 359 |
"step": 50
|
| 360 |
},
|
| 361 |
{
|
| 362 |
-
"epoch":
|
| 363 |
-
"grad_norm": 0.
|
| 364 |
-
"learning_rate": 0.
|
| 365 |
-
"loss": 0.
|
| 366 |
"step": 51
|
| 367 |
},
|
| 368 |
{
|
| 369 |
-
"epoch":
|
| 370 |
-
"grad_norm": 0.
|
| 371 |
-
"learning_rate": 0.
|
| 372 |
-
"loss": 0.
|
| 373 |
"step": 52
|
| 374 |
},
|
| 375 |
{
|
| 376 |
-
"epoch":
|
| 377 |
-
"grad_norm": 0.
|
| 378 |
-
"learning_rate":
|
| 379 |
-
"loss": 0.
|
| 380 |
"step": 53
|
| 381 |
},
|
| 382 |
{
|
| 383 |
-
"epoch":
|
| 384 |
-
"grad_norm": 0.
|
| 385 |
-
"learning_rate":
|
| 386 |
-
"loss": 0.
|
| 387 |
"step": 54
|
| 388 |
},
|
| 389 |
{
|
| 390 |
-
"epoch":
|
| 391 |
-
"grad_norm": 0.
|
| 392 |
-
"learning_rate":
|
| 393 |
-
"loss": 0.
|
| 394 |
"step": 55
|
| 395 |
},
|
| 396 |
{
|
| 397 |
-
"epoch":
|
| 398 |
-
"grad_norm": 0.
|
| 399 |
-
"learning_rate":
|
| 400 |
-
"loss": 0.
|
| 401 |
"step": 56
|
| 402 |
},
|
| 403 |
{
|
| 404 |
-
"epoch":
|
| 405 |
-
"grad_norm": 0.
|
| 406 |
-
"learning_rate":
|
| 407 |
-
"loss": 0.
|
| 408 |
"step": 57
|
| 409 |
},
|
| 410 |
{
|
| 411 |
-
"epoch":
|
| 412 |
-
"grad_norm": 0.
|
| 413 |
-
"learning_rate":
|
| 414 |
-
"loss": 0.
|
| 415 |
"step": 58
|
| 416 |
},
|
| 417 |
{
|
| 418 |
-
"epoch":
|
| 419 |
-
"grad_norm": 0.
|
| 420 |
-
"learning_rate":
|
| 421 |
-
"loss": 0.
|
| 422 |
"step": 59
|
| 423 |
},
|
| 424 |
{
|
| 425 |
-
"epoch":
|
| 426 |
-
"grad_norm": 0.
|
| 427 |
-
"learning_rate":
|
| 428 |
-
"loss": 0.
|
| 429 |
"step": 60
|
| 430 |
},
|
| 431 |
{
|
| 432 |
-
"epoch":
|
| 433 |
-
"grad_norm": 0.
|
| 434 |
-
"learning_rate":
|
| 435 |
-
"loss": 0.
|
| 436 |
"step": 61
|
| 437 |
},
|
| 438 |
{
|
| 439 |
-
"epoch":
|
| 440 |
-
"grad_norm": 0.
|
| 441 |
-
"learning_rate":
|
| 442 |
-
"loss": 0.
|
| 443 |
"step": 62
|
| 444 |
},
|
| 445 |
{
|
| 446 |
-
"epoch":
|
| 447 |
-
"grad_norm": 0.
|
| 448 |
-
"learning_rate":
|
| 449 |
-
"loss": 0.
|
| 450 |
"step": 63
|
| 451 |
},
|
| 452 |
{
|
| 453 |
-
"epoch":
|
| 454 |
-
"grad_norm": 0.
|
| 455 |
-
"learning_rate":
|
| 456 |
-
"loss": 0.
|
| 457 |
"step": 64
|
| 458 |
},
|
| 459 |
{
|
| 460 |
-
"epoch":
|
| 461 |
-
"grad_norm": 0.
|
| 462 |
-
"learning_rate":
|
| 463 |
-
"loss": 0.
|
| 464 |
"step": 65
|
| 465 |
},
|
| 466 |
{
|
| 467 |
-
"epoch":
|
| 468 |
-
"grad_norm": 0.
|
| 469 |
-
"learning_rate":
|
| 470 |
-
"loss": 0.
|
| 471 |
"step": 66
|
| 472 |
},
|
| 473 |
{
|
| 474 |
-
"epoch":
|
| 475 |
-
"grad_norm": 0.
|
| 476 |
-
"learning_rate":
|
| 477 |
-
"loss": 0.
|
| 478 |
"step": 67
|
| 479 |
},
|
| 480 |
{
|
| 481 |
-
"epoch":
|
| 482 |
-
"grad_norm": 0.
|
| 483 |
-
"learning_rate":
|
| 484 |
-
"loss": 0.
|
| 485 |
"step": 68
|
| 486 |
},
|
| 487 |
{
|
| 488 |
-
"epoch":
|
| 489 |
-
"grad_norm": 0.
|
| 490 |
-
"learning_rate":
|
| 491 |
-
"loss": 0.
|
| 492 |
"step": 69
|
| 493 |
},
|
| 494 |
{
|
| 495 |
-
"epoch":
|
| 496 |
-
"grad_norm": 0.
|
| 497 |
-
"learning_rate":
|
| 498 |
-
"loss": 0.
|
| 499 |
"step": 70
|
| 500 |
},
|
| 501 |
{
|
| 502 |
-
"epoch":
|
| 503 |
-
"grad_norm": 0.
|
| 504 |
-
"learning_rate":
|
| 505 |
-
"loss": 0.
|
| 506 |
"step": 71
|
| 507 |
},
|
| 508 |
{
|
| 509 |
-
"epoch":
|
| 510 |
-
"grad_norm": 0.
|
| 511 |
-
"learning_rate":
|
| 512 |
-
"loss": 0.
|
| 513 |
"step": 72
|
| 514 |
},
|
| 515 |
{
|
| 516 |
-
"epoch":
|
| 517 |
-
"grad_norm": 0.
|
| 518 |
-
"learning_rate":
|
| 519 |
-
"loss": 0.
|
| 520 |
"step": 73
|
| 521 |
},
|
| 522 |
{
|
| 523 |
-
"epoch":
|
| 524 |
-
"grad_norm": 0.
|
| 525 |
-
"learning_rate":
|
| 526 |
-
"loss": 0.
|
| 527 |
"step": 74
|
| 528 |
},
|
| 529 |
{
|
| 530 |
-
"epoch":
|
| 531 |
-
"grad_norm": 0.
|
| 532 |
-
"learning_rate":
|
| 533 |
-
"loss": 0.
|
| 534 |
"step": 75
|
| 535 |
},
|
| 536 |
{
|
| 537 |
-
"epoch":
|
| 538 |
-
"grad_norm": 0.
|
| 539 |
-
"learning_rate":
|
| 540 |
-
"loss": 0.
|
| 541 |
"step": 76
|
| 542 |
},
|
| 543 |
{
|
| 544 |
-
"epoch":
|
| 545 |
-
"grad_norm": 0.
|
| 546 |
-
"learning_rate":
|
| 547 |
-
"loss": 0.
|
| 548 |
"step": 77
|
| 549 |
},
|
| 550 |
{
|
| 551 |
-
"epoch":
|
| 552 |
-
"grad_norm": 0.
|
| 553 |
-
"learning_rate":
|
| 554 |
-
"loss": 0.
|
| 555 |
"step": 78
|
| 556 |
},
|
| 557 |
{
|
| 558 |
-
"epoch":
|
| 559 |
-
"grad_norm": 0.
|
| 560 |
-
"learning_rate":
|
| 561 |
-
"loss": 0.
|
| 562 |
"step": 79
|
| 563 |
},
|
| 564 |
{
|
| 565 |
-
"epoch":
|
| 566 |
-
"grad_norm": 0.
|
| 567 |
-
"learning_rate":
|
| 568 |
-
"loss": 0.
|
| 569 |
"step": 80
|
| 570 |
},
|
| 571 |
{
|
| 572 |
-
"epoch":
|
| 573 |
-
"grad_norm": 0.
|
| 574 |
-
"learning_rate":
|
| 575 |
-
"loss": 0.
|
| 576 |
"step": 81
|
| 577 |
},
|
| 578 |
{
|
| 579 |
-
"epoch":
|
| 580 |
-
"grad_norm": 0.
|
| 581 |
-
"learning_rate":
|
| 582 |
-
"loss": 0.
|
| 583 |
"step": 82
|
| 584 |
},
|
| 585 |
{
|
| 586 |
-
"epoch":
|
| 587 |
-
"grad_norm": 0.
|
| 588 |
-
"learning_rate":
|
| 589 |
-
"loss": 0.
|
| 590 |
"step": 83
|
| 591 |
},
|
| 592 |
{
|
| 593 |
-
"epoch":
|
| 594 |
-
"grad_norm": 0.
|
| 595 |
-
"learning_rate":
|
| 596 |
-
"loss": 0.
|
| 597 |
"step": 84
|
| 598 |
},
|
| 599 |
{
|
| 600 |
-
"epoch":
|
| 601 |
-
"grad_norm": 0.
|
| 602 |
-
"learning_rate":
|
| 603 |
-
"loss": 0.
|
| 604 |
"step": 85
|
| 605 |
},
|
| 606 |
{
|
| 607 |
-
"epoch":
|
| 608 |
-
"grad_norm": 0.
|
| 609 |
-
"learning_rate":
|
| 610 |
-
"loss": 0.
|
| 611 |
"step": 86
|
| 612 |
},
|
| 613 |
{
|
| 614 |
-
"epoch":
|
| 615 |
-
"grad_norm": 0.
|
| 616 |
-
"learning_rate":
|
| 617 |
-
"loss": 0.
|
| 618 |
"step": 87
|
| 619 |
},
|
| 620 |
{
|
| 621 |
-
"epoch":
|
| 622 |
-
"grad_norm": 0.
|
| 623 |
-
"learning_rate":
|
| 624 |
-
"loss": 0.
|
| 625 |
"step": 88
|
| 626 |
},
|
| 627 |
{
|
| 628 |
-
"epoch":
|
| 629 |
-
"grad_norm": 0.
|
| 630 |
-
"learning_rate":
|
| 631 |
-
"loss": 0.
|
| 632 |
"step": 89
|
| 633 |
},
|
| 634 |
{
|
| 635 |
-
"epoch":
|
| 636 |
-
"grad_norm": 0.
|
| 637 |
-
"learning_rate":
|
| 638 |
-
"loss": 0.
|
| 639 |
"step": 90
|
| 640 |
},
|
| 641 |
{
|
| 642 |
-
"epoch":
|
| 643 |
-
"grad_norm": 0.
|
| 644 |
-
"learning_rate":
|
| 645 |
-
"loss": 0.
|
| 646 |
"step": 91
|
| 647 |
},
|
| 648 |
{
|
| 649 |
-
"epoch":
|
| 650 |
-
"grad_norm": 0.
|
| 651 |
-
"learning_rate":
|
| 652 |
-
"loss": 0.
|
| 653 |
"step": 92
|
| 654 |
},
|
| 655 |
{
|
| 656 |
-
"epoch":
|
| 657 |
-
"grad_norm": 0.
|
| 658 |
-
"learning_rate":
|
| 659 |
-
"loss": 0.
|
| 660 |
"step": 93
|
| 661 |
},
|
| 662 |
{
|
| 663 |
-
"epoch":
|
| 664 |
-
"grad_norm": 0.
|
| 665 |
-
"learning_rate":
|
| 666 |
-
"loss": 0.
|
| 667 |
"step": 94
|
| 668 |
},
|
| 669 |
{
|
| 670 |
-
"epoch":
|
| 671 |
-
"grad_norm": 0.
|
| 672 |
-
"learning_rate":
|
| 673 |
-
"loss": 0.
|
| 674 |
"step": 95
|
| 675 |
},
|
| 676 |
{
|
| 677 |
-
"epoch":
|
| 678 |
-
"grad_norm": 0.
|
| 679 |
-
"learning_rate":
|
| 680 |
-
"loss": 0.
|
| 681 |
"step": 96
|
| 682 |
},
|
| 683 |
{
|
| 684 |
-
"epoch":
|
| 685 |
-
"grad_norm": 0.
|
| 686 |
-
"learning_rate":
|
| 687 |
-
"loss": 0.
|
| 688 |
"step": 97
|
| 689 |
},
|
| 690 |
{
|
| 691 |
-
"epoch":
|
| 692 |
-
"grad_norm": 0.
|
| 693 |
-
"learning_rate":
|
| 694 |
-
"loss": 0.
|
| 695 |
"step": 98
|
| 696 |
},
|
| 697 |
{
|
| 698 |
-
"epoch":
|
| 699 |
-
"grad_norm": 0.
|
| 700 |
-
"learning_rate": 5.
|
| 701 |
-
"loss": 0.
|
| 702 |
"step": 99
|
| 703 |
},
|
| 704 |
{
|
| 705 |
-
"epoch":
|
| 706 |
-
"grad_norm": 0.
|
| 707 |
-
"learning_rate": 5.5193321601242156e-05,
|
| 708 |
-
"loss": 0.1874,
|
| 709 |
-
"step": 100
|
| 710 |
-
},
|
| 711 |
-
{
|
| 712 |
-
"epoch": 2.02,
|
| 713 |
-
"grad_norm": 0.35321784019470215,
|
| 714 |
-
"learning_rate": 5.322657205425183e-05,
|
| 715 |
-
"loss": 0.1384,
|
| 716 |
-
"step": 101
|
| 717 |
-
},
|
| 718 |
-
{
|
| 719 |
-
"epoch": 2.04,
|
| 720 |
-
"grad_norm": 0.364757239818573,
|
| 721 |
-
"learning_rate": 5.1282715603920374e-05,
|
| 722 |
-
"loss": 0.1443,
|
| 723 |
-
"step": 102
|
| 724 |
-
},
|
| 725 |
-
{
|
| 726 |
-
"epoch": 2.06,
|
| 727 |
-
"grad_norm": 0.3620398938655853,
|
| 728 |
-
"learning_rate": 4.936270366423563e-05,
|
| 729 |
-
"loss": 0.1378,
|
| 730 |
-
"step": 103
|
| 731 |
-
},
|
| 732 |
-
{
|
| 733 |
-
"epoch": 2.08,
|
| 734 |
-
"grad_norm": 0.3393998444080353,
|
| 735 |
-
"learning_rate": 4.746747597857014e-05,
|
| 736 |
-
"loss": 0.1265,
|
| 737 |
-
"step": 104
|
| 738 |
-
},
|
| 739 |
-
{
|
| 740 |
-
"epoch": 2.1,
|
| 741 |
-
"grad_norm": 0.3330179750919342,
|
| 742 |
-
"learning_rate": 4.559796015972677e-05,
|
| 743 |
-
"loss": 0.12,
|
| 744 |
-
"step": 105
|
| 745 |
-
},
|
| 746 |
-
{
|
| 747 |
-
"epoch": 2.12,
|
| 748 |
-
"grad_norm": 0.3353124260902405,
|
| 749 |
-
"learning_rate": 4.375507123592194e-05,
|
| 750 |
-
"loss": 0.1203,
|
| 751 |
-
"step": 106
|
| 752 |
-
},
|
| 753 |
-
{
|
| 754 |
-
"epoch": 2.14,
|
| 755 |
-
"grad_norm": 0.36515313386917114,
|
| 756 |
-
"learning_rate": 4.1939711202927936e-05,
|
| 757 |
-
"loss": 0.114,
|
| 758 |
-
"step": 107
|
| 759 |
-
},
|
| 760 |
-
{
|
| 761 |
-
"epoch": 2.16,
|
| 762 |
-
"grad_norm": 0.3508182168006897,
|
| 763 |
-
"learning_rate": 4.015276858259427e-05,
|
| 764 |
-
"loss": 0.1231,
|
| 765 |
-
"step": 108
|
| 766 |
-
},
|
| 767 |
-
{
|
| 768 |
-
"epoch": 2.18,
|
| 769 |
-
"grad_norm": 0.37940266728401184,
|
| 770 |
-
"learning_rate": 3.839511798796357e-05,
|
| 771 |
-
"loss": 0.1326,
|
| 772 |
-
"step": 109
|
| 773 |
-
},
|
| 774 |
-
{
|
| 775 |
-
"epoch": 2.2,
|
| 776 |
-
"grad_norm": 0.35219907760620117,
|
| 777 |
-
"learning_rate": 3.6667619695195285e-05,
|
| 778 |
-
"loss": 0.1179,
|
| 779 |
-
"step": 110
|
| 780 |
-
},
|
| 781 |
-
{
|
| 782 |
-
"epoch": 2.22,
|
| 783 |
-
"grad_norm": 0.34503066539764404,
|
| 784 |
-
"learning_rate": 3.49711192225063e-05,
|
| 785 |
-
"loss": 0.121,
|
| 786 |
-
"step": 111
|
| 787 |
-
},
|
| 788 |
-
{
|
| 789 |
-
"epoch": 2.24,
|
| 790 |
-
"grad_norm": 0.36006444692611694,
|
| 791 |
-
"learning_rate": 3.330644691633492e-05,
|
| 792 |
-
"loss": 0.1167,
|
| 793 |
-
"step": 112
|
| 794 |
-
},
|
| 795 |
-
{
|
| 796 |
-
"epoch": 2.26,
|
| 797 |
-
"grad_norm": 0.412020742893219,
|
| 798 |
-
"learning_rate": 3.167441754493066e-05,
|
| 799 |
-
"loss": 0.1367,
|
| 800 |
-
"step": 113
|
| 801 |
-
},
|
| 802 |
-
{
|
| 803 |
-
"epoch": 2.2800000000000002,
|
| 804 |
-
"grad_norm": 0.45470723509788513,
|
| 805 |
-
"learning_rate": 3.0075829899568597e-05,
|
| 806 |
-
"loss": 0.1319,
|
| 807 |
-
"step": 114
|
| 808 |
-
},
|
| 809 |
-
{
|
| 810 |
-
"epoch": 2.3,
|
| 811 |
-
"grad_norm": 0.3515799045562744,
|
| 812 |
-
"learning_rate": 2.8511466403583766e-05,
|
| 813 |
-
"loss": 0.1185,
|
| 814 |
-
"step": 115
|
| 815 |
-
},
|
| 816 |
-
{
|
| 817 |
-
"epoch": 2.32,
|
| 818 |
-
"grad_norm": 0.37341800332069397,
|
| 819 |
-
"learning_rate": 2.6982092729416587e-05,
|
| 820 |
-
"loss": 0.1187,
|
| 821 |
-
"step": 116
|
| 822 |
-
},
|
| 823 |
-
{
|
| 824 |
-
"epoch": 2.34,
|
| 825 |
-
"grad_norm": 0.3499296307563782,
|
| 826 |
-
"learning_rate": 2.548845742385717e-05,
|
| 827 |
-
"loss": 0.1113,
|
| 828 |
-
"step": 117
|
| 829 |
-
},
|
| 830 |
-
{
|
| 831 |
-
"epoch": 2.36,
|
| 832 |
-
"grad_norm": 0.36934876441955566,
|
| 833 |
-
"learning_rate": 2.403129154167153e-05,
|
| 834 |
-
"loss": 0.115,
|
| 835 |
-
"step": 118
|
| 836 |
-
},
|
| 837 |
-
{
|
| 838 |
-
"epoch": 2.38,
|
| 839 |
-
"grad_norm": 0.3478608727455139,
|
| 840 |
-
"learning_rate": 2.2611308287789344e-05,
|
| 841 |
-
"loss": 0.1207,
|
| 842 |
-
"step": 119
|
| 843 |
-
},
|
| 844 |
-
{
|
| 845 |
-
"epoch": 2.4,
|
| 846 |
-
"grad_norm": 0.3456974923610687,
|
| 847 |
-
"learning_rate": 2.1229202668228197e-05,
|
| 848 |
-
"loss": 0.1139,
|
| 849 |
-
"step": 120
|
| 850 |
-
},
|
| 851 |
-
{
|
| 852 |
-
"epoch": 2.42,
|
| 853 |
-
"grad_norm": 0.3334108293056488,
|
| 854 |
-
"learning_rate": 1.988565114992519e-05,
|
| 855 |
-
"loss": 0.1296,
|
| 856 |
-
"step": 121
|
| 857 |
-
},
|
| 858 |
-
{
|
| 859 |
-
"epoch": 2.44,
|
| 860 |
-
"grad_norm": 0.348541259765625,
|
| 861 |
-
"learning_rate": 1.858131132964259e-05,
|
| 862 |
-
"loss": 0.1233,
|
| 863 |
-
"step": 122
|
| 864 |
-
},
|
| 865 |
-
{
|
| 866 |
-
"epoch": 2.46,
|
| 867 |
-
"grad_norm": 0.33513638377189636,
|
| 868 |
-
"learning_rate": 1.7316821612109136e-05,
|
| 869 |
-
"loss": 0.1269,
|
| 870 |
-
"step": 123
|
| 871 |
-
},
|
| 872 |
-
{
|
| 873 |
-
"epoch": 2.48,
|
| 874 |
-
"grad_norm": 0.35099372267723083,
|
| 875 |
-
"learning_rate": 1.609280089755515e-05,
|
| 876 |
-
"loss": 0.1132,
|
| 877 |
-
"step": 124
|
| 878 |
-
},
|
| 879 |
-
{
|
| 880 |
-
"epoch": 2.5,
|
| 881 |
-
"grad_norm": 0.34724029898643494,
|
| 882 |
-
"learning_rate": 1.4909848278793782e-05,
|
| 883 |
-
"loss": 0.1381,
|
| 884 |
-
"step": 125
|
| 885 |
-
},
|
| 886 |
-
{
|
| 887 |
-
"epoch": 2.52,
|
| 888 |
-
"grad_norm": 0.3333680033683777,
|
| 889 |
-
"learning_rate": 1.3768542747997215e-05,
|
| 890 |
-
"loss": 0.119,
|
| 891 |
-
"step": 126
|
| 892 |
-
},
|
| 893 |
-
{
|
| 894 |
-
"epoch": 2.54,
|
| 895 |
-
"grad_norm": 0.35580337047576904,
|
| 896 |
-
"learning_rate": 1.2669442913310725e-05,
|
| 897 |
-
"loss": 0.1196,
|
| 898 |
-
"step": 127
|
| 899 |
-
},
|
| 900 |
-
{
|
| 901 |
-
"epoch": 2.56,
|
| 902 |
-
"grad_norm": 0.35816505551338196,
|
| 903 |
-
"learning_rate": 1.161308672544389e-05,
|
| 904 |
-
"loss": 0.1259,
|
| 905 |
-
"step": 128
|
| 906 |
-
},
|
| 907 |
-
{
|
| 908 |
-
"epoch": 2.58,
|
| 909 |
-
"grad_norm": 0.35583576560020447,
|
| 910 |
-
"learning_rate": 1.059999121437244e-05,
|
| 911 |
-
"loss": 0.1396,
|
| 912 |
-
"step": 129
|
| 913 |
-
},
|
| 914 |
-
{
|
| 915 |
-
"epoch": 2.6,
|
| 916 |
-
"grad_norm": 0.37276527285575867,
|
| 917 |
-
"learning_rate": 9.630652236279625e-06,
|
| 918 |
-
"loss": 0.1369,
|
| 919 |
-
"step": 130
|
| 920 |
-
},
|
| 921 |
-
{
|
| 922 |
-
"epoch": 2.62,
|
| 923 |
-
"grad_norm": 0.34090283513069153,
|
| 924 |
-
"learning_rate": 8.70554423086114e-06,
|
| 925 |
-
"loss": 0.1114,
|
| 926 |
-
"step": 131
|
| 927 |
-
},
|
| 928 |
-
{
|
| 929 |
-
"epoch": 2.64,
|
| 930 |
-
"grad_norm": 0.32982465624809265,
|
| 931 |
-
"learning_rate": 7.825119989112173e-06,
|
| 932 |
-
"loss": 0.1232,
|
| 933 |
-
"step": 132
|
| 934 |
-
},
|
| 935 |
-
{
|
| 936 |
-
"epoch": 2.66,
|
| 937 |
-
"grad_norm": 0.36222097277641296,
|
| 938 |
-
"learning_rate": 6.989810431710375e-06,
|
| 939 |
-
"loss": 0.1193,
|
| 940 |
-
"step": 133
|
| 941 |
-
},
|
| 942 |
-
{
|
| 943 |
-
"epoch": 2.68,
|
| 944 |
-
"grad_norm": 0.33648136258125305,
|
| 945 |
-
"learning_rate": 6.200024398103255e-06,
|
| 946 |
-
"loss": 0.1046,
|
| 947 |
-
"step": 134
|
| 948 |
-
},
|
| 949 |
-
{
|
| 950 |
-
"epoch": 2.7,
|
| 951 |
-
"grad_norm": 0.34745728969573975,
|
| 952 |
-
"learning_rate": 5.456148446402976e-06,
|
| 953 |
-
"loss": 0.1312,
|
| 954 |
-
"step": 135
|
| 955 |
-
},
|
| 956 |
-
{
|
| 957 |
-
"epoch": 2.7199999999999998,
|
| 958 |
-
"grad_norm": 0.3730124235153198,
|
| 959 |
-
"learning_rate": 4.758546664186869e-06,
|
| 960 |
-
"loss": 0.1186,
|
| 961 |
-
"step": 136
|
| 962 |
-
},
|
| 963 |
-
{
|
| 964 |
-
"epoch": 2.74,
|
| 965 |
-
"grad_norm": 0.3411957919597626,
|
| 966 |
-
"learning_rate": 4.107560490295992e-06,
|
| 967 |
-
"loss": 0.1282,
|
| 968 |
-
"step": 137
|
| 969 |
-
},
|
| 970 |
-
{
|
| 971 |
-
"epoch": 2.76,
|
| 972 |
-
"grad_norm": 0.35611581802368164,
|
| 973 |
-
"learning_rate": 3.5035085477190143e-06,
|
| 974 |
-
"loss": 0.1286,
|
| 975 |
-
"step": 138
|
| 976 |
-
},
|
| 977 |
-
{
|
| 978 |
-
"epoch": 2.7800000000000002,
|
| 979 |
-
"grad_norm": 0.37135371565818787,
|
| 980 |
-
"learning_rate": 2.94668648764328e-06,
|
| 981 |
-
"loss": 0.1335,
|
| 982 |
-
"step": 139
|
| 983 |
-
},
|
| 984 |
-
{
|
| 985 |
-
"epoch": 2.8,
|
| 986 |
-
"grad_norm": 0.3284219205379486,
|
| 987 |
-
"learning_rate": 2.4373668447493224e-06,
|
| 988 |
-
"loss": 0.1089,
|
| 989 |
-
"step": 140
|
| 990 |
-
},
|
| 991 |
-
{
|
| 992 |
-
"epoch": 2.82,
|
| 993 |
-
"grad_norm": 0.36662524938583374,
|
| 994 |
-
"learning_rate": 1.9757989038197146e-06,
|
| 995 |
-
"loss": 0.1355,
|
| 996 |
-
"step": 141
|
| 997 |
-
},
|
| 998 |
-
{
|
| 999 |
-
"epoch": 2.84,
|
| 1000 |
-
"grad_norm": 0.36059364676475525,
|
| 1001 |
-
"learning_rate": 1.562208577727442e-06,
|
| 1002 |
-
"loss": 0.1229,
|
| 1003 |
-
"step": 142
|
| 1004 |
-
},
|
| 1005 |
-
{
|
| 1006 |
-
"epoch": 2.86,
|
| 1007 |
-
"grad_norm": 0.3409566283226013,
|
| 1008 |
-
"learning_rate": 1.1967982968635993e-06,
|
| 1009 |
-
"loss": 0.1183,
|
| 1010 |
-
"step": 143
|
| 1011 |
-
},
|
| 1012 |
-
{
|
| 1013 |
-
"epoch": 2.88,
|
| 1014 |
-
"grad_norm": 0.36703115701675415,
|
| 1015 |
-
"learning_rate": 8.797469100585431e-07,
|
| 1016 |
-
"loss": 0.1416,
|
| 1017 |
-
"step": 144
|
| 1018 |
-
},
|
| 1019 |
-
{
|
| 1020 |
-
"epoch": 2.9,
|
| 1021 |
-
"grad_norm": 0.34956759214401245,
|
| 1022 |
-
"learning_rate": 6.11209597044926e-07,
|
| 1023 |
-
"loss": 0.1223,
|
| 1024 |
-
"step": 145
|
| 1025 |
-
},
|
| 1026 |
-
{
|
| 1027 |
-
"epoch": 2.92,
|
| 1028 |
-
"grad_norm": 0.3447030782699585,
|
| 1029 |
-
"learning_rate": 3.913177925055189e-07,
|
| 1030 |
-
"loss": 0.1283,
|
| 1031 |
-
"step": 146
|
| 1032 |
-
},
|
| 1033 |
-
{
|
| 1034 |
-
"epoch": 2.94,
|
| 1035 |
-
"grad_norm": 0.35175061225891113,
|
| 1036 |
-
"learning_rate": 2.201791217428917e-07,
|
| 1037 |
-
"loss": 0.131,
|
| 1038 |
-
"step": 147
|
| 1039 |
-
},
|
| 1040 |
-
{
|
| 1041 |
-
"epoch": 2.96,
|
| 1042 |
-
"grad_norm": 0.335248738527298,
|
| 1043 |
-
"learning_rate": 9.78773480026396e-08,
|
| 1044 |
-
"loss": 0.1141,
|
| 1045 |
-
"step": 148
|
| 1046 |
-
},
|
| 1047 |
-
{
|
| 1048 |
-
"epoch": 2.98,
|
| 1049 |
-
"grad_norm": 0.329517126083374,
|
| 1050 |
-
"learning_rate": 2.447233147570005e-08,
|
| 1051 |
-
"loss": 0.1162,
|
| 1052 |
-
"step": 149
|
| 1053 |
-
},
|
| 1054 |
-
{
|
| 1055 |
-
"epoch": 3.0,
|
| 1056 |
-
"grad_norm": 0.3240882158279419,
|
| 1057 |
"learning_rate": 0.0,
|
| 1058 |
-
"loss": 0.
|
| 1059 |
-
"step":
|
| 1060 |
}
|
| 1061 |
],
|
| 1062 |
"logging_steps": 1,
|
| 1063 |
-
"max_steps":
|
| 1064 |
"num_input_tokens_seen": 0,
|
| 1065 |
-
"num_train_epochs":
|
| 1066 |
"save_steps": 500,
|
| 1067 |
"stateful_callbacks": {
|
| 1068 |
"TrainerControl": {
|
|
@@ -1076,7 +726,7 @@
|
|
| 1076 |
"attributes": {}
|
| 1077 |
}
|
| 1078 |
},
|
| 1079 |
-
"total_flos": 1.
|
| 1080 |
"train_batch_size": 1,
|
| 1081 |
"trial_name": null,
|
| 1082 |
"trial_params": null
|
|
|
|
| 1 |
{
|
| 2 |
"best_metric": null,
|
| 3 |
"best_model_checkpoint": null,
|
| 4 |
+
"epoch": 1.0,
|
| 5 |
"eval_steps": 500,
|
| 6 |
+
"global_step": 100,
|
| 7 |
"is_hyper_param_search": false,
|
| 8 |
"is_local_process_zero": true,
|
| 9 |
"is_world_process_zero": true,
|
| 10 |
"log_history": [
|
| 11 |
{
|
| 12 |
+
"epoch": 0.01,
|
| 13 |
+
"grad_norm": 0.8039671182632446,
|
| 14 |
+
"learning_rate": 4e-05,
|
| 15 |
+
"loss": 0.3593,
|
| 16 |
"step": 1
|
| 17 |
},
|
| 18 |
{
|
| 19 |
+
"epoch": 0.02,
|
| 20 |
+
"grad_norm": 1.0575159788131714,
|
| 21 |
+
"learning_rate": 8e-05,
|
| 22 |
+
"loss": 0.4832,
|
| 23 |
"step": 2
|
| 24 |
},
|
| 25 |
{
|
| 26 |
+
"epoch": 0.03,
|
| 27 |
+
"grad_norm": 0.9031288027763367,
|
| 28 |
+
"learning_rate": 0.00012,
|
| 29 |
+
"loss": 0.4249,
|
| 30 |
"step": 3
|
| 31 |
},
|
| 32 |
{
|
| 33 |
+
"epoch": 0.04,
|
| 34 |
+
"grad_norm": 0.6510717868804932,
|
| 35 |
+
"learning_rate": 0.00016,
|
| 36 |
+
"loss": 0.4258,
|
| 37 |
"step": 4
|
| 38 |
},
|
| 39 |
{
|
| 40 |
+
"epoch": 0.05,
|
| 41 |
+
"grad_norm": 0.577819287776947,
|
| 42 |
+
"learning_rate": 0.0002,
|
| 43 |
+
"loss": 0.3766,
|
| 44 |
"step": 5
|
| 45 |
},
|
| 46 |
{
|
| 47 |
+
"epoch": 0.06,
|
| 48 |
+
"grad_norm": 0.5394201874732971,
|
| 49 |
+
"learning_rate": 0.00019994532573409262,
|
| 50 |
+
"loss": 0.3585,
|
| 51 |
"step": 6
|
| 52 |
},
|
| 53 |
{
|
| 54 |
+
"epoch": 0.07,
|
| 55 |
+
"grad_norm": 0.4903915524482727,
|
| 56 |
+
"learning_rate": 0.00019978136272187747,
|
| 57 |
+
"loss": 0.3804,
|
| 58 |
"step": 7
|
| 59 |
},
|
| 60 |
{
|
| 61 |
+
"epoch": 0.08,
|
| 62 |
+
"grad_norm": 0.48727235198020935,
|
| 63 |
+
"learning_rate": 0.00019950829025450114,
|
| 64 |
+
"loss": 0.4129,
|
| 65 |
"step": 8
|
| 66 |
},
|
| 67 |
{
|
| 68 |
+
"epoch": 0.09,
|
| 69 |
+
"grad_norm": 0.5153201818466187,
|
| 70 |
+
"learning_rate": 0.00019912640693269752,
|
| 71 |
+
"loss": 0.4332,
|
| 72 |
"step": 9
|
| 73 |
},
|
| 74 |
{
|
| 75 |
+
"epoch": 0.1,
|
| 76 |
+
"grad_norm": 0.502315104007721,
|
| 77 |
+
"learning_rate": 0.00019863613034027224,
|
| 78 |
+
"loss": 0.4077,
|
| 79 |
"step": 10
|
| 80 |
},
|
| 81 |
{
|
| 82 |
+
"epoch": 0.11,
|
| 83 |
+
"grad_norm": 0.472267746925354,
|
| 84 |
+
"learning_rate": 0.00019803799658748094,
|
| 85 |
+
"loss": 0.4006,
|
| 86 |
"step": 11
|
| 87 |
},
|
| 88 |
{
|
| 89 |
+
"epoch": 0.12,
|
| 90 |
+
"grad_norm": 0.5331538319587708,
|
| 91 |
+
"learning_rate": 0.0001973326597248006,
|
| 92 |
+
"loss": 0.4175,
|
| 93 |
"step": 12
|
| 94 |
},
|
| 95 |
{
|
| 96 |
+
"epoch": 0.13,
|
| 97 |
+
"grad_norm": 0.5011341571807861,
|
| 98 |
+
"learning_rate": 0.00019652089102773488,
|
| 99 |
+
"loss": 0.4139,
|
| 100 |
"step": 13
|
| 101 |
},
|
| 102 |
{
|
| 103 |
+
"epoch": 0.14,
|
| 104 |
+
"grad_norm": 0.5202248096466064,
|
| 105 |
+
"learning_rate": 0.00019560357815343577,
|
| 106 |
+
"loss": 0.3731,
|
| 107 |
"step": 14
|
| 108 |
},
|
| 109 |
{
|
| 110 |
+
"epoch": 0.15,
|
| 111 |
+
"grad_norm": 0.5288619995117188,
|
| 112 |
+
"learning_rate": 0.00019458172417006347,
|
| 113 |
+
"loss": 0.3912,
|
| 114 |
"step": 15
|
| 115 |
},
|
| 116 |
{
|
| 117 |
+
"epoch": 0.16,
|
| 118 |
+
"grad_norm": 0.5330358743667603,
|
| 119 |
+
"learning_rate": 0.0001934564464599461,
|
| 120 |
+
"loss": 0.4218,
|
| 121 |
"step": 16
|
| 122 |
},
|
| 123 |
{
|
| 124 |
+
"epoch": 0.17,
|
| 125 |
+
"grad_norm": 0.528815507888794,
|
| 126 |
+
"learning_rate": 0.00019222897549773848,
|
| 127 |
+
"loss": 0.4527,
|
| 128 |
"step": 17
|
| 129 |
},
|
| 130 |
{
|
| 131 |
+
"epoch": 0.18,
|
| 132 |
+
"grad_norm": 0.5266752243041992,
|
| 133 |
+
"learning_rate": 0.00019090065350491626,
|
| 134 |
+
"loss": 0.3762,
|
| 135 |
"step": 18
|
| 136 |
},
|
| 137 |
{
|
| 138 |
+
"epoch": 0.19,
|
| 139 |
+
"grad_norm": 0.48899364471435547,
|
| 140 |
+
"learning_rate": 0.00018947293298207635,
|
| 141 |
+
"loss": 0.3838,
|
| 142 |
"step": 19
|
| 143 |
},
|
| 144 |
{
|
| 145 |
+
"epoch": 0.2,
|
| 146 |
+
"grad_norm": 0.4758334159851074,
|
| 147 |
+
"learning_rate": 0.0001879473751206489,
|
| 148 |
+
"loss": 0.3798,
|
| 149 |
"step": 20
|
| 150 |
},
|
| 151 |
{
|
| 152 |
+
"epoch": 0.21,
|
| 153 |
+
"grad_norm": 0.5223532319068909,
|
| 154 |
+
"learning_rate": 0.00018632564809575742,
|
| 155 |
+
"loss": 0.364,
|
| 156 |
"step": 21
|
| 157 |
},
|
| 158 |
{
|
| 159 |
+
"epoch": 0.22,
|
| 160 |
+
"grad_norm": 0.5233363509178162,
|
| 161 |
+
"learning_rate": 0.00018460952524209355,
|
| 162 |
+
"loss": 0.373,
|
| 163 |
"step": 22
|
| 164 |
},
|
| 165 |
{
|
| 166 |
+
"epoch": 0.23,
|
| 167 |
+
"grad_norm": 0.4868537485599518,
|
| 168 |
+
"learning_rate": 0.00018280088311480201,
|
| 169 |
+
"loss": 0.4269,
|
| 170 |
"step": 23
|
| 171 |
},
|
| 172 |
{
|
| 173 |
+
"epoch": 0.24,
|
| 174 |
+
"grad_norm": 0.5180346965789795,
|
| 175 |
+
"learning_rate": 0.00018090169943749476,
|
| 176 |
+
"loss": 0.4044,
|
| 177 |
"step": 24
|
| 178 |
},
|
| 179 |
{
|
| 180 |
+
"epoch": 0.25,
|
| 181 |
+
"grad_norm": 0.5078471899032593,
|
| 182 |
+
"learning_rate": 0.00017891405093963938,
|
| 183 |
+
"loss": 0.353,
|
| 184 |
"step": 25
|
| 185 |
},
|
| 186 |
{
|
| 187 |
+
"epoch": 0.26,
|
| 188 |
+
"grad_norm": 0.4828091859817505,
|
| 189 |
+
"learning_rate": 0.00017684011108568592,
|
| 190 |
+
"loss": 0.373,
|
| 191 |
"step": 26
|
| 192 |
},
|
| 193 |
{
|
| 194 |
+
"epoch": 0.27,
|
| 195 |
+
"grad_norm": 0.49357226490974426,
|
| 196 |
+
"learning_rate": 0.0001746821476984154,
|
| 197 |
+
"loss": 0.4001,
|
| 198 |
"step": 27
|
| 199 |
},
|
| 200 |
{
|
| 201 |
+
"epoch": 0.28,
|
| 202 |
+
"grad_norm": 0.5360887050628662,
|
| 203 |
+
"learning_rate": 0.00017244252047910892,
|
| 204 |
+
"loss": 0.424,
|
| 205 |
"step": 28
|
| 206 |
},
|
| 207 |
{
|
| 208 |
+
"epoch": 0.29,
|
| 209 |
+
"grad_norm": 0.5232270359992981,
|
| 210 |
+
"learning_rate": 0.00017012367842724887,
|
| 211 |
+
"loss": 0.3986,
|
| 212 |
"step": 29
|
| 213 |
},
|
| 214 |
{
|
| 215 |
+
"epoch": 0.3,
|
| 216 |
+
"grad_norm": 0.5093458294868469,
|
| 217 |
+
"learning_rate": 0.00016772815716257412,
|
| 218 |
+
"loss": 0.3909,
|
| 219 |
"step": 30
|
| 220 |
},
|
| 221 |
{
|
| 222 |
+
"epoch": 0.31,
|
| 223 |
+
"grad_norm": 0.49155759811401367,
|
| 224 |
+
"learning_rate": 0.00016525857615241687,
|
| 225 |
+
"loss": 0.409,
|
| 226 |
"step": 31
|
| 227 |
},
|
| 228 |
{
|
| 229 |
+
"epoch": 0.32,
|
| 230 |
+
"grad_norm": 0.47392013669013977,
|
| 231 |
+
"learning_rate": 0.0001627176358473537,
|
| 232 |
+
"loss": 0.3658,
|
| 233 |
"step": 32
|
| 234 |
},
|
| 235 |
{
|
| 236 |
+
"epoch": 0.33,
|
| 237 |
+
"grad_norm": 0.512052595615387,
|
| 238 |
+
"learning_rate": 0.00016010811472830252,
|
| 239 |
+
"loss": 0.3979,
|
| 240 |
"step": 33
|
| 241 |
},
|
| 242 |
{
|
| 243 |
+
"epoch": 0.34,
|
| 244 |
+
"grad_norm": 0.49206939339637756,
|
| 245 |
+
"learning_rate": 0.00015743286626829437,
|
| 246 |
+
"loss": 0.3871,
|
| 247 |
"step": 34
|
| 248 |
},
|
| 249 |
{
|
| 250 |
+
"epoch": 0.35,
|
| 251 |
+
"grad_norm": 0.5002603530883789,
|
| 252 |
+
"learning_rate": 0.00015469481581224272,
|
| 253 |
+
"loss": 0.3668,
|
| 254 |
"step": 35
|
| 255 |
},
|
| 256 |
{
|
| 257 |
+
"epoch": 0.36,
|
| 258 |
+
"grad_norm": 0.5139701962471008,
|
| 259 |
+
"learning_rate": 0.00015189695737812152,
|
| 260 |
+
"loss": 0.4014,
|
| 261 |
"step": 36
|
| 262 |
},
|
| 263 |
{
|
| 264 |
+
"epoch": 0.37,
|
| 265 |
+
"grad_norm": 0.5197802186012268,
|
| 266 |
+
"learning_rate": 0.00014904235038305083,
|
| 267 |
+
"loss": 0.3951,
|
| 268 |
"step": 37
|
| 269 |
},
|
| 270 |
{
|
| 271 |
+
"epoch": 0.38,
|
| 272 |
+
"grad_norm": 0.5155587196350098,
|
| 273 |
+
"learning_rate": 0.0001461341162978688,
|
| 274 |
+
"loss": 0.4161,
|
| 275 |
"step": 38
|
| 276 |
},
|
| 277 |
{
|
| 278 |
+
"epoch": 0.39,
|
| 279 |
+
"grad_norm": 0.49465492367744446,
|
| 280 |
+
"learning_rate": 0.00014317543523384928,
|
| 281 |
+
"loss": 0.3898,
|
| 282 |
"step": 39
|
| 283 |
},
|
| 284 |
{
|
| 285 |
+
"epoch": 0.4,
|
| 286 |
+
"grad_norm": 0.4801078140735626,
|
| 287 |
+
"learning_rate": 0.00014016954246529696,
|
| 288 |
+
"loss": 0.3973,
|
| 289 |
"step": 40
|
| 290 |
},
|
| 291 |
{
|
| 292 |
+
"epoch": 0.41,
|
| 293 |
+
"grad_norm": 0.48596322536468506,
|
| 294 |
+
"learning_rate": 0.00013711972489182208,
|
| 295 |
+
"loss": 0.4097,
|
| 296 |
"step": 41
|
| 297 |
},
|
| 298 |
{
|
| 299 |
+
"epoch": 0.42,
|
| 300 |
+
"grad_norm": 0.5131967663764954,
|
| 301 |
+
"learning_rate": 0.00013402931744416433,
|
| 302 |
+
"loss": 0.3829,
|
| 303 |
"step": 42
|
| 304 |
},
|
| 305 |
{
|
| 306 |
+
"epoch": 0.43,
|
| 307 |
+
"grad_norm": 0.4835667610168457,
|
| 308 |
+
"learning_rate": 0.00013090169943749476,
|
| 309 |
+
"loss": 0.3642,
|
| 310 |
"step": 43
|
| 311 |
},
|
| 312 |
{
|
| 313 |
+
"epoch": 0.44,
|
| 314 |
+
"grad_norm": 0.5013434886932373,
|
| 315 |
+
"learning_rate": 0.00012774029087618446,
|
| 316 |
+
"loss": 0.3675,
|
| 317 |
"step": 44
|
| 318 |
},
|
| 319 |
{
|
| 320 |
+
"epoch": 0.45,
|
| 321 |
+
"grad_norm": 0.4737671911716461,
|
| 322 |
+
"learning_rate": 0.00012454854871407994,
|
| 323 |
+
"loss": 0.4346,
|
| 324 |
"step": 45
|
| 325 |
},
|
| 326 |
{
|
| 327 |
+
"epoch": 0.46,
|
| 328 |
+
"grad_norm": 0.544231116771698,
|
| 329 |
+
"learning_rate": 0.0001213299630743747,
|
| 330 |
+
"loss": 0.3914,
|
| 331 |
"step": 46
|
| 332 |
},
|
| 333 |
{
|
| 334 |
+
"epoch": 0.47,
|
| 335 |
+
"grad_norm": 0.5040849447250366,
|
| 336 |
+
"learning_rate": 0.000118088053433211,
|
| 337 |
+
"loss": 0.3744,
|
| 338 |
"step": 47
|
| 339 |
},
|
| 340 |
{
|
| 341 |
+
"epoch": 0.48,
|
| 342 |
+
"grad_norm": 0.5225382447242737,
|
| 343 |
+
"learning_rate": 0.0001148263647711842,
|
| 344 |
+
"loss": 0.3922,
|
| 345 |
"step": 48
|
| 346 |
},
|
| 347 |
{
|
| 348 |
+
"epoch": 0.49,
|
| 349 |
+
"grad_norm": 0.4771358370780945,
|
| 350 |
+
"learning_rate": 0.00011154846369695863,
|
| 351 |
+
"loss": 0.3552,
|
| 352 |
"step": 49
|
| 353 |
},
|
| 354 |
{
|
| 355 |
+
"epoch": 0.5,
|
| 356 |
+
"grad_norm": 0.4580378532409668,
|
| 357 |
+
"learning_rate": 0.00010825793454723325,
|
| 358 |
+
"loss": 0.3667,
|
| 359 |
"step": 50
|
| 360 |
},
|
| 361 |
{
|
| 362 |
+
"epoch": 0.51,
|
| 363 |
+
"grad_norm": 0.5024124979972839,
|
| 364 |
+
"learning_rate": 0.00010495837546732224,
|
| 365 |
+
"loss": 0.3469,
|
| 366 |
"step": 51
|
| 367 |
},
|
| 368 |
{
|
| 369 |
+
"epoch": 0.52,
|
| 370 |
+
"grad_norm": 0.4725678861141205,
|
| 371 |
+
"learning_rate": 0.00010165339447663587,
|
| 372 |
+
"loss": 0.3717,
|
| 373 |
"step": 52
|
| 374 |
},
|
| 375 |
{
|
| 376 |
+
"epoch": 0.53,
|
| 377 |
+
"grad_norm": 0.47523003816604614,
|
| 378 |
+
"learning_rate": 9.834660552336415e-05,
|
| 379 |
+
"loss": 0.3779,
|
| 380 |
"step": 53
|
| 381 |
},
|
| 382 |
{
|
| 383 |
+
"epoch": 0.54,
|
| 384 |
+
"grad_norm": 0.5019033551216125,
|
| 385 |
+
"learning_rate": 9.504162453267777e-05,
|
| 386 |
+
"loss": 0.3548,
|
| 387 |
"step": 54
|
| 388 |
},
|
| 389 |
{
|
| 390 |
+
"epoch": 0.55,
|
| 391 |
+
"grad_norm": 0.5027766227722168,
|
| 392 |
+
"learning_rate": 9.174206545276677e-05,
|
| 393 |
+
"loss": 0.4236,
|
| 394 |
"step": 55
|
| 395 |
},
|
| 396 |
{
|
| 397 |
+
"epoch": 0.56,
|
| 398 |
+
"grad_norm": 0.512511670589447,
|
| 399 |
+
"learning_rate": 8.845153630304139e-05,
|
| 400 |
+
"loss": 0.3492,
|
| 401 |
"step": 56
|
| 402 |
},
|
| 403 |
{
|
| 404 |
+
"epoch": 0.57,
|
| 405 |
+
"grad_norm": 0.4811123311519623,
|
| 406 |
+
"learning_rate": 8.517363522881579e-05,
|
| 407 |
+
"loss": 0.3627,
|
| 408 |
"step": 57
|
| 409 |
},
|
| 410 |
{
|
| 411 |
+
"epoch": 0.58,
|
| 412 |
+
"grad_norm": 0.5243905782699585,
|
| 413 |
+
"learning_rate": 8.191194656678904e-05,
|
| 414 |
+
"loss": 0.4194,
|
| 415 |
"step": 58
|
| 416 |
},
|
| 417 |
{
|
| 418 |
+
"epoch": 0.59,
|
| 419 |
+
"grad_norm": 0.4740852117538452,
|
| 420 |
+
"learning_rate": 7.867003692562534e-05,
|
| 421 |
+
"loss": 0.3481,
|
| 422 |
"step": 59
|
| 423 |
},
|
| 424 |
{
|
| 425 |
+
"epoch": 0.6,
|
| 426 |
+
"grad_norm": 0.4817480146884918,
|
| 427 |
+
"learning_rate": 7.54514512859201e-05,
|
| 428 |
+
"loss": 0.3156,
|
| 429 |
"step": 60
|
| 430 |
},
|
| 431 |
{
|
| 432 |
+
"epoch": 0.61,
|
| 433 |
+
"grad_norm": 0.5003472566604614,
|
| 434 |
+
"learning_rate": 7.225970912381556e-05,
|
| 435 |
+
"loss": 0.3746,
|
| 436 |
"step": 61
|
| 437 |
},
|
| 438 |
{
|
| 439 |
+
"epoch": 0.62,
|
| 440 |
+
"grad_norm": 0.4828045070171356,
|
| 441 |
+
"learning_rate": 6.909830056250527e-05,
|
| 442 |
+
"loss": 0.3616,
|
| 443 |
"step": 62
|
| 444 |
},
|
| 445 |
{
|
| 446 |
+
"epoch": 0.63,
|
| 447 |
+
"grad_norm": 0.4666941463947296,
|
| 448 |
+
"learning_rate": 6.59706825558357e-05,
|
| 449 |
+
"loss": 0.3411,
|
| 450 |
"step": 63
|
| 451 |
},
|
| 452 |
{
|
| 453 |
+
"epoch": 0.64,
|
| 454 |
+
"grad_norm": 0.5042151808738708,
|
| 455 |
+
"learning_rate": 6.28802751081779e-05,
|
| 456 |
+
"loss": 0.3658,
|
| 457 |
"step": 64
|
| 458 |
},
|
| 459 |
{
|
| 460 |
+
"epoch": 0.65,
|
| 461 |
+
"grad_norm": 0.49939414858818054,
|
| 462 |
+
"learning_rate": 5.983045753470308e-05,
|
| 463 |
+
"loss": 0.3993,
|
| 464 |
"step": 65
|
| 465 |
},
|
| 466 |
{
|
| 467 |
+
"epoch": 0.66,
|
| 468 |
+
"grad_norm": 0.48640677332878113,
|
| 469 |
+
"learning_rate": 5.6824564766150726e-05,
|
| 470 |
+
"loss": 0.3295,
|
| 471 |
"step": 66
|
| 472 |
},
|
| 473 |
{
|
| 474 |
+
"epoch": 0.67,
|
| 475 |
+
"grad_norm": 0.4997316300868988,
|
| 476 |
+
"learning_rate": 5.386588370213124e-05,
|
| 477 |
+
"loss": 0.3571,
|
| 478 |
"step": 67
|
| 479 |
},
|
| 480 |
{
|
| 481 |
+
"epoch": 0.68,
|
| 482 |
+
"grad_norm": 0.508797287940979,
|
| 483 |
+
"learning_rate": 5.095764961694922e-05,
|
| 484 |
+
"loss": 0.3626,
|
| 485 |
"step": 68
|
| 486 |
},
|
| 487 |
{
|
| 488 |
+
"epoch": 0.69,
|
| 489 |
+
"grad_norm": 0.45878127217292786,
|
| 490 |
+
"learning_rate": 4.810304262187852e-05,
|
| 491 |
+
"loss": 0.3726,
|
| 492 |
"step": 69
|
| 493 |
},
|
| 494 |
{
|
| 495 |
+
"epoch": 0.7,
|
| 496 |
+
"grad_norm": 0.49244609475135803,
|
| 497 |
+
"learning_rate": 4.530518418775733e-05,
|
| 498 |
+
"loss": 0.3577,
|
| 499 |
"step": 70
|
| 500 |
},
|
| 501 |
{
|
| 502 |
+
"epoch": 0.71,
|
| 503 |
+
"grad_norm": 0.46602892875671387,
|
| 504 |
+
"learning_rate": 4.256713373170564e-05,
|
| 505 |
+
"loss": 0.3403,
|
| 506 |
"step": 71
|
| 507 |
},
|
| 508 |
{
|
| 509 |
+
"epoch": 0.72,
|
| 510 |
+
"grad_norm": 0.502491295337677,
|
| 511 |
+
"learning_rate": 3.9891885271697496e-05,
|
| 512 |
+
"loss": 0.3662,
|
| 513 |
"step": 72
|
| 514 |
},
|
| 515 |
{
|
| 516 |
+
"epoch": 0.73,
|
| 517 |
+
"grad_norm": 0.47285720705986023,
|
| 518 |
+
"learning_rate": 3.7282364152646297e-05,
|
| 519 |
+
"loss": 0.3187,
|
| 520 |
"step": 73
|
| 521 |
},
|
| 522 |
{
|
| 523 |
+
"epoch": 0.74,
|
| 524 |
+
"grad_norm": 0.4815748333930969,
|
| 525 |
+
"learning_rate": 3.4741423847583134e-05,
|
| 526 |
+
"loss": 0.3742,
|
| 527 |
"step": 74
|
| 528 |
},
|
| 529 |
{
|
| 530 |
+
"epoch": 0.75,
|
| 531 |
+
"grad_norm": 0.5235660672187805,
|
| 532 |
+
"learning_rate": 3.227184283742591e-05,
|
| 533 |
+
"loss": 0.3809,
|
| 534 |
"step": 75
|
| 535 |
},
|
| 536 |
{
|
| 537 |
+
"epoch": 0.76,
|
| 538 |
+
"grad_norm": 0.46197509765625,
|
| 539 |
+
"learning_rate": 2.9876321572751144e-05,
|
| 540 |
+
"loss": 0.3298,
|
| 541 |
"step": 76
|
| 542 |
},
|
| 543 |
{
|
| 544 |
+
"epoch": 0.77,
|
| 545 |
+
"grad_norm": 0.455169141292572,
|
| 546 |
+
"learning_rate": 2.7557479520891104e-05,
|
| 547 |
+
"loss": 0.3544,
|
| 548 |
"step": 77
|
| 549 |
},
|
| 550 |
{
|
| 551 |
+
"epoch": 0.78,
|
| 552 |
+
"grad_norm": 0.4787601828575134,
|
| 553 |
+
"learning_rate": 2.5317852301584643e-05,
|
| 554 |
+
"loss": 0.3466,
|
| 555 |
"step": 78
|
| 556 |
},
|
| 557 |
{
|
| 558 |
+
"epoch": 0.79,
|
| 559 |
+
"grad_norm": 0.47747695446014404,
|
| 560 |
+
"learning_rate": 2.315988891431412e-05,
|
| 561 |
+
"loss": 0.3189,
|
| 562 |
"step": 79
|
| 563 |
},
|
| 564 |
{
|
| 565 |
+
"epoch": 0.8,
|
| 566 |
+
"grad_norm": 0.475917786359787,
|
| 567 |
+
"learning_rate": 2.1085949060360654e-05,
|
| 568 |
+
"loss": 0.3832,
|
| 569 |
"step": 80
|
| 570 |
},
|
| 571 |
{
|
| 572 |
+
"epoch": 0.81,
|
| 573 |
+
"grad_norm": 0.4622023105621338,
|
| 574 |
+
"learning_rate": 1.9098300562505266e-05,
|
| 575 |
+
"loss": 0.3414,
|
| 576 |
"step": 81
|
| 577 |
},
|
| 578 |
{
|
| 579 |
+
"epoch": 0.82,
|
| 580 |
+
"grad_norm": 0.48533836007118225,
|
| 581 |
+
"learning_rate": 1.7199116885197995e-05,
|
| 582 |
+
"loss": 0.3587,
|
| 583 |
"step": 82
|
| 584 |
},
|
| 585 |
{
|
| 586 |
+
"epoch": 0.83,
|
| 587 |
+
"grad_norm": 0.45964503288269043,
|
| 588 |
+
"learning_rate": 1.5390474757906446e-05,
|
| 589 |
+
"loss": 0.3244,
|
| 590 |
"step": 83
|
| 591 |
},
|
| 592 |
{
|
| 593 |
+
"epoch": 0.84,
|
| 594 |
+
"grad_norm": 0.5024991631507874,
|
| 595 |
+
"learning_rate": 1.3674351904242611e-05,
|
| 596 |
+
"loss": 0.4067,
|
| 597 |
"step": 84
|
| 598 |
},
|
| 599 |
{
|
| 600 |
+
"epoch": 0.85,
|
| 601 |
+
"grad_norm": 0.4903584420681,
|
| 602 |
+
"learning_rate": 1.2052624879351104e-05,
|
| 603 |
+
"loss": 0.3641,
|
| 604 |
"step": 85
|
| 605 |
},
|
| 606 |
{
|
| 607 |
+
"epoch": 0.86,
|
| 608 |
+
"grad_norm": 0.44721242785453796,
|
| 609 |
+
"learning_rate": 1.0527067017923654e-05,
|
| 610 |
+
"loss": 0.3121,
|
| 611 |
"step": 86
|
| 612 |
},
|
| 613 |
{
|
| 614 |
+
"epoch": 0.87,
|
| 615 |
+
"grad_norm": 0.48709988594055176,
|
| 616 |
+
"learning_rate": 9.09934649508375e-06,
|
| 617 |
+
"loss": 0.3692,
|
| 618 |
"step": 87
|
| 619 |
},
|
| 620 |
{
|
| 621 |
+
"epoch": 0.88,
|
| 622 |
+
"grad_norm": 0.4607761800289154,
|
| 623 |
+
"learning_rate": 7.771024502261526e-06,
|
| 624 |
+
"loss": 0.3523,
|
| 625 |
"step": 88
|
| 626 |
},
|
| 627 |
{
|
| 628 |
+
"epoch": 0.89,
|
| 629 |
+
"grad_norm": 0.4875771999359131,
|
| 630 |
+
"learning_rate": 6.543553540053926e-06,
|
| 631 |
+
"loss": 0.3445,
|
| 632 |
"step": 89
|
| 633 |
},
|
| 634 |
{
|
| 635 |
+
"epoch": 0.9,
|
| 636 |
+
"grad_norm": 0.4596504271030426,
|
| 637 |
+
"learning_rate": 5.418275829936537e-06,
|
| 638 |
+
"loss": 0.3349,
|
| 639 |
"step": 90
|
| 640 |
},
|
| 641 |
{
|
| 642 |
+
"epoch": 0.91,
|
| 643 |
+
"grad_norm": 0.46433568000793457,
|
| 644 |
+
"learning_rate": 4.3964218465642355e-06,
|
| 645 |
+
"loss": 0.323,
|
| 646 |
"step": 91
|
| 647 |
},
|
| 648 |
{
|
| 649 |
+
"epoch": 0.92,
|
| 650 |
+
"grad_norm": 0.4667503833770752,
|
| 651 |
+
"learning_rate": 3.4791089722651436e-06,
|
| 652 |
+
"loss": 0.3228,
|
| 653 |
"step": 92
|
| 654 |
},
|
| 655 |
{
|
| 656 |
+
"epoch": 0.93,
|
| 657 |
+
"grad_norm": 0.490509033203125,
|
| 658 |
+
"learning_rate": 2.667340275199426e-06,
|
| 659 |
+
"loss": 0.3673,
|
| 660 |
"step": 93
|
| 661 |
},
|
| 662 |
{
|
| 663 |
+
"epoch": 0.94,
|
| 664 |
+
"grad_norm": 0.4769146144390106,
|
| 665 |
+
"learning_rate": 1.9620034125190644e-06,
|
| 666 |
+
"loss": 0.3211,
|
| 667 |
"step": 94
|
| 668 |
},
|
| 669 |
{
|
| 670 |
+
"epoch": 0.95,
|
| 671 |
+
"grad_norm": 0.5546551942825317,
|
| 672 |
+
"learning_rate": 1.3638696597277679e-06,
|
| 673 |
+
"loss": 0.3613,
|
| 674 |
"step": 95
|
| 675 |
},
|
| 676 |
{
|
| 677 |
+
"epoch": 0.96,
|
| 678 |
+
"grad_norm": 0.47154128551483154,
|
| 679 |
+
"learning_rate": 8.735930673024806e-07,
|
| 680 |
+
"loss": 0.35,
|
| 681 |
"step": 96
|
| 682 |
},
|
| 683 |
{
|
| 684 |
+
"epoch": 0.97,
|
| 685 |
+
"grad_norm": 0.48646360635757446,
|
| 686 |
+
"learning_rate": 4.917097454988584e-07,
|
| 687 |
+
"loss": 0.349,
|
| 688 |
"step": 97
|
| 689 |
},
|
| 690 |
{
|
| 691 |
+
"epoch": 0.98,
|
| 692 |
+
"grad_norm": 0.48640263080596924,
|
| 693 |
+
"learning_rate": 2.1863727812254653e-07,
|
| 694 |
+
"loss": 0.3713,
|
| 695 |
"step": 98
|
| 696 |
},
|
| 697 |
{
|
| 698 |
+
"epoch": 0.99,
|
| 699 |
+
"grad_norm": 0.47486788034439087,
|
| 700 |
+
"learning_rate": 5.467426590739511e-08,
|
| 701 |
+
"loss": 0.296,
|
| 702 |
"step": 99
|
| 703 |
},
|
| 704 |
{
|
| 705 |
+
"epoch": 1.0,
|
| 706 |
+
"grad_norm": 0.4658459424972534,
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 707 |
"learning_rate": 0.0,
|
| 708 |
+
"loss": 0.3369,
|
| 709 |
+
"step": 100
|
| 710 |
}
|
| 711 |
],
|
| 712 |
"logging_steps": 1,
|
| 713 |
+
"max_steps": 100,
|
| 714 |
"num_input_tokens_seen": 0,
|
| 715 |
+
"num_train_epochs": 1,
|
| 716 |
"save_steps": 500,
|
| 717 |
"stateful_callbacks": {
|
| 718 |
"TrainerControl": {
|
|
|
|
| 726 |
"attributes": {}
|
| 727 |
}
|
| 728 |
},
|
| 729 |
+
"total_flos": 1.3312303903280333e+17,
|
| 730 |
"train_batch_size": 1,
|
| 731 |
"trial_name": null,
|
| 732 |
"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 5240
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:84840f0c9d05975fb66dbe0df3b9fc3f7f2326fff03a93716d61f75cc3024fc7
|
| 3 |
size 5240
|