Model save
Browse files- README.md +2 -4
- all_results.json +5 -5
- train_results.json +5 -5
- trainer_state.json +2764 -440
README.md
CHANGED
|
@@ -1,11 +1,9 @@
|
|
| 1 |
---
|
| 2 |
base_model: Qwen/Qwen2.5-1.5B-Instruct
|
| 3 |
-
datasets: open-r1/OpenR1-Math-220k
|
| 4 |
library_name: transformers
|
| 5 |
model_name: Qwen2.5-1.5B-Open-R1-Distill
|
| 6 |
tags:
|
| 7 |
- generated_from_trainer
|
| 8 |
-
- open-r1
|
| 9 |
- trl
|
| 10 |
- sft
|
| 11 |
licence: license
|
|
@@ -13,7 +11,7 @@ licence: license
|
|
| 13 |
|
| 14 |
# Model Card for Qwen2.5-1.5B-Open-R1-Distill
|
| 15 |
|
| 16 |
-
This model is a fine-tuned version of [Qwen/Qwen2.5-1.5B-Instruct](https://huggingface.co/Qwen/Qwen2.5-1.5B-Instruct)
|
| 17 |
It has been trained using [TRL](https://github.com/huggingface/trl).
|
| 18 |
|
| 19 |
## Quick start
|
|
@@ -36,7 +34,7 @@ This model was trained with SFT.
|
|
| 36 |
|
| 37 |
### Framework versions
|
| 38 |
|
| 39 |
-
- TRL: 0.
|
| 40 |
- Transformers: 4.49.0
|
| 41 |
- Pytorch: 2.5.1
|
| 42 |
- Datasets: 3.3.2
|
|
|
|
| 1 |
---
|
| 2 |
base_model: Qwen/Qwen2.5-1.5B-Instruct
|
|
|
|
| 3 |
library_name: transformers
|
| 4 |
model_name: Qwen2.5-1.5B-Open-R1-Distill
|
| 5 |
tags:
|
| 6 |
- generated_from_trainer
|
|
|
|
| 7 |
- trl
|
| 8 |
- sft
|
| 9 |
licence: license
|
|
|
|
| 11 |
|
| 12 |
# Model Card for Qwen2.5-1.5B-Open-R1-Distill
|
| 13 |
|
| 14 |
+
This model is a fine-tuned version of [Qwen/Qwen2.5-1.5B-Instruct](https://huggingface.co/Qwen/Qwen2.5-1.5B-Instruct).
|
| 15 |
It has been trained using [TRL](https://github.com/huggingface/trl).
|
| 16 |
|
| 17 |
## Quick start
|
|
|
|
| 34 |
|
| 35 |
### Framework versions
|
| 36 |
|
| 37 |
+
- TRL: 0.15.0
|
| 38 |
- Transformers: 4.49.0
|
| 39 |
- Pytorch: 2.5.1
|
| 40 |
- Datasets: 3.3.2
|
all_results.json
CHANGED
|
@@ -1,8 +1,8 @@
|
|
| 1 |
{
|
| 2 |
-
"total_flos":
|
| 3 |
-
"train_loss": 0.
|
| 4 |
-
"train_runtime":
|
| 5 |
"train_samples": 93733,
|
| 6 |
-
"train_samples_per_second":
|
| 7 |
-
"train_steps_per_second": 0.
|
| 8 |
}
|
|
|
|
| 1 |
{
|
| 2 |
+
"total_flos": 250577921507328.0,
|
| 3 |
+
"train_loss": 0.49602713585984115,
|
| 4 |
+
"train_runtime": 3019.3082,
|
| 5 |
"train_samples": 93733,
|
| 6 |
+
"train_samples_per_second": 93.134,
|
| 7 |
+
"train_steps_per_second": 0.728
|
| 8 |
}
|
train_results.json
CHANGED
|
@@ -1,8 +1,8 @@
|
|
| 1 |
{
|
| 2 |
-
"total_flos":
|
| 3 |
-
"train_loss": 0.
|
| 4 |
-
"train_runtime":
|
| 5 |
"train_samples": 93733,
|
| 6 |
-
"train_samples_per_second":
|
| 7 |
-
"train_steps_per_second": 0.
|
| 8 |
}
|
|
|
|
| 1 |
{
|
| 2 |
+
"total_flos": 250577921507328.0,
|
| 3 |
+
"train_loss": 0.49602713585984115,
|
| 4 |
+
"train_runtime": 3019.3082,
|
| 5 |
"train_samples": 93733,
|
| 6 |
+
"train_samples_per_second": 93.134,
|
| 7 |
+
"train_steps_per_second": 0.728
|
| 8 |
}
|
trainer_state.json
CHANGED
|
@@ -1,776 +1,3100 @@
|
|
| 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":
|
| 14 |
-
"learning_rate":
|
| 15 |
-
"loss":
|
| 16 |
"step": 5
|
| 17 |
},
|
| 18 |
{
|
| 19 |
-
"epoch": 0.
|
| 20 |
-
"grad_norm":
|
| 21 |
-
"learning_rate":
|
| 22 |
-
"loss":
|
| 23 |
"step": 10
|
| 24 |
},
|
| 25 |
{
|
| 26 |
-
"epoch": 0.
|
| 27 |
-
"grad_norm":
|
| 28 |
-
"learning_rate":
|
| 29 |
-
"loss":
|
| 30 |
"step": 15
|
| 31 |
},
|
| 32 |
{
|
| 33 |
-
"epoch": 0.
|
| 34 |
-
"grad_norm":
|
| 35 |
-
"learning_rate":
|
| 36 |
-
"loss": 0.
|
| 37 |
"step": 20
|
| 38 |
},
|
| 39 |
{
|
| 40 |
-
"epoch": 0.
|
| 41 |
-
"grad_norm":
|
| 42 |
-
"learning_rate":
|
| 43 |
-
"loss": 0.
|
| 44 |
"step": 25
|
| 45 |
},
|
| 46 |
{
|
| 47 |
-
"epoch": 0.
|
| 48 |
-
"grad_norm":
|
| 49 |
-
"learning_rate":
|
| 50 |
-
"loss": 0.
|
| 51 |
"step": 30
|
| 52 |
},
|
| 53 |
{
|
| 54 |
-
"epoch": 0.
|
| 55 |
-
"grad_norm": 0.
|
| 56 |
-
"learning_rate":
|
| 57 |
-
"loss": 0.
|
| 58 |
"step": 35
|
| 59 |
},
|
| 60 |
{
|
| 61 |
-
"epoch": 0.
|
| 62 |
-
"grad_norm": 0.
|
| 63 |
-
"learning_rate":
|
| 64 |
-
"loss": 0.
|
| 65 |
"step": 40
|
| 66 |
},
|
| 67 |
{
|
| 68 |
-
"epoch": 0.
|
| 69 |
-
"grad_norm": 0.
|
| 70 |
-
"learning_rate":
|
| 71 |
-
"loss": 0.
|
| 72 |
"step": 45
|
| 73 |
},
|
| 74 |
{
|
| 75 |
-
"epoch": 0.
|
| 76 |
-
"grad_norm": 0.
|
| 77 |
-
"learning_rate":
|
| 78 |
-
"loss": 0.
|
| 79 |
"step": 50
|
| 80 |
},
|
| 81 |
{
|
| 82 |
-
"epoch": 0.
|
| 83 |
-
"grad_norm": 0.
|
| 84 |
-
"learning_rate":
|
| 85 |
-
"loss": 0.
|
| 86 |
"step": 55
|
| 87 |
},
|
| 88 |
{
|
| 89 |
-
"epoch": 0.
|
| 90 |
-
"grad_norm": 0.
|
| 91 |
-
"learning_rate": 1.
|
| 92 |
-
"loss": 0.
|
| 93 |
"step": 60
|
| 94 |
},
|
| 95 |
{
|
| 96 |
-
"epoch": 0.
|
| 97 |
-
"grad_norm": 0.
|
| 98 |
-
"learning_rate": 1.
|
| 99 |
-
"loss": 0.
|
| 100 |
"step": 65
|
| 101 |
},
|
| 102 |
{
|
| 103 |
-
"epoch": 0.
|
| 104 |
-
"grad_norm": 0.
|
| 105 |
-
"learning_rate": 1.
|
| 106 |
-
"loss": 0.
|
| 107 |
"step": 70
|
| 108 |
},
|
| 109 |
{
|
| 110 |
-
"epoch": 0.
|
| 111 |
-
"grad_norm": 0.
|
| 112 |
-
"learning_rate": 1.
|
| 113 |
-
"loss": 0.
|
| 114 |
"step": 75
|
| 115 |
},
|
| 116 |
{
|
| 117 |
-
"epoch": 0.
|
| 118 |
-
"grad_norm": 0.
|
| 119 |
-
"learning_rate": 1.
|
| 120 |
-
"loss": 0.
|
| 121 |
"step": 80
|
| 122 |
},
|
| 123 |
{
|
| 124 |
-
"epoch": 0.
|
| 125 |
-
"grad_norm": 0.
|
| 126 |
-
"learning_rate": 1.
|
| 127 |
-
"loss": 0.
|
| 128 |
"step": 85
|
| 129 |
},
|
| 130 |
{
|
| 131 |
-
"epoch": 0.
|
| 132 |
-
"grad_norm": 0.
|
| 133 |
-
"learning_rate": 1.
|
| 134 |
-
"loss": 0.
|
| 135 |
"step": 90
|
| 136 |
},
|
| 137 |
{
|
| 138 |
-
"epoch": 0.
|
| 139 |
-
"grad_norm": 0.
|
| 140 |
-
"learning_rate": 1.
|
| 141 |
-
"loss": 0.
|
| 142 |
"step": 95
|
| 143 |
},
|
| 144 |
{
|
| 145 |
-
"epoch": 0.
|
| 146 |
-
"grad_norm": 0.
|
| 147 |
-
"learning_rate": 1.
|
| 148 |
-
"loss": 0.
|
| 149 |
"step": 100
|
| 150 |
},
|
| 151 |
{
|
| 152 |
-
"epoch": 0.
|
| 153 |
-
"grad_norm": 0.
|
| 154 |
-
"learning_rate": 1.
|
| 155 |
-
"loss": 0.
|
| 156 |
"step": 105
|
| 157 |
},
|
| 158 |
{
|
| 159 |
-
"epoch": 0.
|
| 160 |
-
"grad_norm": 0.
|
| 161 |
-
"learning_rate":
|
| 162 |
-
"loss": 0.
|
| 163 |
"step": 110
|
| 164 |
},
|
| 165 |
{
|
| 166 |
-
"epoch": 0.
|
| 167 |
-
"grad_norm": 0.
|
| 168 |
-
"learning_rate": 1.
|
| 169 |
-
"loss": 0.
|
| 170 |
"step": 115
|
| 171 |
},
|
| 172 |
{
|
| 173 |
-
"epoch": 0.
|
| 174 |
-
"grad_norm": 0.
|
| 175 |
-
"learning_rate": 1.
|
| 176 |
-
"loss": 0.
|
| 177 |
"step": 120
|
| 178 |
},
|
| 179 |
{
|
| 180 |
-
"epoch": 0.
|
| 181 |
-
"grad_norm": 0.
|
| 182 |
-
"learning_rate": 1.
|
| 183 |
-
"loss": 0.
|
| 184 |
"step": 125
|
| 185 |
},
|
| 186 |
{
|
| 187 |
-
"epoch": 0.
|
| 188 |
-
"grad_norm": 0.
|
| 189 |
-
"learning_rate": 1.
|
| 190 |
-
"loss": 0.
|
| 191 |
"step": 130
|
| 192 |
},
|
| 193 |
{
|
| 194 |
-
"epoch": 0.
|
| 195 |
-
"grad_norm": 0.
|
| 196 |
-
"learning_rate": 1.
|
| 197 |
-
"loss": 0.
|
| 198 |
"step": 135
|
| 199 |
},
|
| 200 |
{
|
| 201 |
-
"epoch": 0.
|
| 202 |
-
"grad_norm": 0.
|
| 203 |
-
"learning_rate": 1.
|
| 204 |
-
"loss": 0.
|
| 205 |
"step": 140
|
| 206 |
},
|
| 207 |
{
|
| 208 |
-
"epoch": 0.
|
| 209 |
-
"grad_norm": 0.
|
| 210 |
-
"learning_rate": 1.
|
| 211 |
-
"loss": 0.
|
| 212 |
"step": 145
|
| 213 |
},
|
| 214 |
{
|
| 215 |
-
"epoch": 0.
|
| 216 |
-
"grad_norm": 0.
|
| 217 |
-
"learning_rate": 1.
|
| 218 |
-
"loss": 0.
|
| 219 |
"step": 150
|
| 220 |
},
|
| 221 |
{
|
| 222 |
-
"epoch": 0.
|
| 223 |
-
"grad_norm": 0.
|
| 224 |
-
"learning_rate": 1.
|
| 225 |
-
"loss": 0.
|
| 226 |
"step": 155
|
| 227 |
},
|
| 228 |
{
|
| 229 |
-
"epoch": 0.
|
| 230 |
-
"grad_norm": 0.
|
| 231 |
-
"learning_rate": 1.
|
| 232 |
-
"loss": 0.
|
| 233 |
"step": 160
|
| 234 |
},
|
| 235 |
{
|
| 236 |
-
"epoch": 0.
|
| 237 |
-
"grad_norm": 0.
|
| 238 |
-
"learning_rate": 1.
|
| 239 |
-
"loss": 0.
|
| 240 |
"step": 165
|
| 241 |
},
|
| 242 |
{
|
| 243 |
-
"epoch": 0.
|
| 244 |
-
"grad_norm": 0.
|
| 245 |
-
"learning_rate": 1.
|
| 246 |
-
"loss": 0.
|
| 247 |
"step": 170
|
| 248 |
},
|
| 249 |
{
|
| 250 |
-
"epoch": 0.
|
| 251 |
-
"grad_norm": 0.
|
| 252 |
-
"learning_rate": 1.
|
| 253 |
-
"loss": 0.
|
| 254 |
"step": 175
|
| 255 |
},
|
| 256 |
{
|
| 257 |
-
"epoch": 0.
|
| 258 |
-
"grad_norm": 0.
|
| 259 |
-
"learning_rate": 1.
|
| 260 |
-
"loss": 0.
|
| 261 |
"step": 180
|
| 262 |
},
|
| 263 |
{
|
| 264 |
-
"epoch": 0.
|
| 265 |
-
"grad_norm": 0.
|
| 266 |
-
"learning_rate": 1.
|
| 267 |
-
"loss": 0.
|
| 268 |
"step": 185
|
| 269 |
},
|
| 270 |
{
|
| 271 |
-
"epoch": 0.
|
| 272 |
-
"grad_norm": 0.
|
| 273 |
-
"learning_rate": 1.
|
| 274 |
-
"loss": 0.
|
| 275 |
"step": 190
|
| 276 |
},
|
| 277 |
{
|
| 278 |
-
"epoch": 0.
|
| 279 |
-
"grad_norm": 0.
|
| 280 |
-
"learning_rate": 1.
|
| 281 |
-
"loss": 0.
|
| 282 |
"step": 195
|
| 283 |
},
|
| 284 |
{
|
| 285 |
-
"epoch": 0.
|
| 286 |
-
"grad_norm": 0.
|
| 287 |
-
"learning_rate": 1.
|
| 288 |
-
"loss": 0.
|
| 289 |
"step": 200
|
| 290 |
},
|
| 291 |
{
|
| 292 |
-
"epoch": 0.
|
| 293 |
-
"grad_norm": 0.
|
| 294 |
-
"learning_rate": 1.
|
| 295 |
-
"loss": 0.
|
| 296 |
"step": 205
|
| 297 |
},
|
| 298 |
{
|
| 299 |
-
"epoch": 0.
|
| 300 |
-
"grad_norm": 0.
|
| 301 |
-
"learning_rate": 1.
|
| 302 |
-
"loss": 0.
|
| 303 |
"step": 210
|
| 304 |
},
|
| 305 |
{
|
| 306 |
-
"epoch": 0.
|
| 307 |
-
"grad_norm": 0.
|
| 308 |
-
"learning_rate": 1.
|
| 309 |
-
"loss": 0.
|
| 310 |
"step": 215
|
| 311 |
},
|
| 312 |
{
|
| 313 |
-
"epoch": 0.
|
| 314 |
-
"grad_norm": 0.
|
| 315 |
-
"learning_rate": 1.
|
| 316 |
-
"loss": 0.
|
| 317 |
"step": 220
|
| 318 |
},
|
| 319 |
{
|
| 320 |
-
"epoch": 0.
|
| 321 |
-
"grad_norm": 0.
|
| 322 |
-
"learning_rate": 1.
|
| 323 |
-
"loss": 0.
|
| 324 |
"step": 225
|
| 325 |
},
|
| 326 |
{
|
| 327 |
-
"epoch": 0.
|
| 328 |
-
"grad_norm": 0.
|
| 329 |
-
"learning_rate": 1.
|
| 330 |
-
"loss": 0.
|
| 331 |
"step": 230
|
| 332 |
},
|
| 333 |
{
|
| 334 |
-
"epoch": 0.
|
| 335 |
-
"grad_norm": 0.
|
| 336 |
-
"learning_rate": 1.
|
| 337 |
-
"loss": 0.
|
| 338 |
"step": 235
|
| 339 |
},
|
| 340 |
{
|
| 341 |
-
"epoch": 0.
|
| 342 |
-
"grad_norm": 0.
|
| 343 |
-
"learning_rate": 1.
|
| 344 |
-
"loss": 0.
|
| 345 |
"step": 240
|
| 346 |
},
|
| 347 |
{
|
| 348 |
-
"epoch": 0.
|
| 349 |
-
"grad_norm": 0.
|
| 350 |
-
"learning_rate": 1.
|
| 351 |
-
"loss": 0.
|
| 352 |
"step": 245
|
| 353 |
},
|
| 354 |
{
|
| 355 |
-
"epoch": 0.
|
| 356 |
-
"grad_norm": 0.
|
| 357 |
-
"learning_rate": 1.
|
| 358 |
-
"loss": 0.
|
| 359 |
"step": 250
|
| 360 |
},
|
| 361 |
{
|
| 362 |
-
"epoch": 0.
|
| 363 |
-
"grad_norm": 0.
|
| 364 |
-
"learning_rate": 1.
|
| 365 |
-
"loss": 0.
|
| 366 |
"step": 255
|
| 367 |
},
|
| 368 |
{
|
| 369 |
-
"epoch": 0.
|
| 370 |
-
"grad_norm": 0.
|
| 371 |
-
"learning_rate": 1.
|
| 372 |
-
"loss": 0.
|
| 373 |
"step": 260
|
| 374 |
},
|
| 375 |
{
|
| 376 |
-
"epoch": 0.
|
| 377 |
-
"grad_norm": 0.
|
| 378 |
-
"learning_rate": 1.
|
| 379 |
-
"loss": 0.
|
| 380 |
"step": 265
|
| 381 |
},
|
| 382 |
{
|
| 383 |
-
"epoch": 0.
|
| 384 |
-
"grad_norm": 0.
|
| 385 |
-
"learning_rate": 1.
|
| 386 |
-
"loss": 0.
|
| 387 |
"step": 270
|
| 388 |
},
|
| 389 |
{
|
| 390 |
-
"epoch": 0.
|
| 391 |
-
"grad_norm": 0.
|
| 392 |
-
"learning_rate": 1.
|
| 393 |
-
"loss": 0.
|
| 394 |
"step": 275
|
| 395 |
},
|
| 396 |
{
|
| 397 |
-
"epoch": 0.
|
| 398 |
-
"grad_norm": 0.
|
| 399 |
-
"learning_rate": 1.
|
| 400 |
-
"loss": 0.
|
| 401 |
"step": 280
|
| 402 |
},
|
| 403 |
{
|
| 404 |
-
"epoch": 0.
|
| 405 |
-
"grad_norm": 0.
|
| 406 |
-
"learning_rate": 1.
|
| 407 |
-
"loss": 0.
|
| 408 |
"step": 285
|
| 409 |
},
|
| 410 |
{
|
| 411 |
-
"epoch": 0.
|
| 412 |
-
"grad_norm": 0.
|
| 413 |
-
"learning_rate": 1.
|
| 414 |
-
"loss": 0.
|
| 415 |
"step": 290
|
| 416 |
},
|
| 417 |
{
|
| 418 |
-
"epoch": 0.
|
| 419 |
-
"grad_norm": 0.
|
| 420 |
-
"learning_rate": 1.
|
| 421 |
-
"loss": 0.
|
| 422 |
"step": 295
|
| 423 |
},
|
| 424 |
{
|
| 425 |
-
"epoch": 0.
|
| 426 |
-
"grad_norm": 0.
|
| 427 |
-
"learning_rate":
|
| 428 |
-
"loss": 0.
|
| 429 |
"step": 300
|
| 430 |
},
|
| 431 |
{
|
| 432 |
-
"epoch": 0.
|
| 433 |
-
"grad_norm": 0.
|
| 434 |
-
"learning_rate":
|
| 435 |
-
"loss": 0.
|
| 436 |
"step": 305
|
| 437 |
},
|
| 438 |
{
|
| 439 |
-
"epoch": 0.
|
| 440 |
-
"grad_norm": 0.
|
| 441 |
-
"learning_rate":
|
| 442 |
-
"loss": 0.
|
| 443 |
"step": 310
|
| 444 |
},
|
| 445 |
{
|
| 446 |
-
"epoch": 0.
|
| 447 |
-
"grad_norm": 0.
|
| 448 |
-
"learning_rate":
|
| 449 |
-
"loss": 0.
|
| 450 |
"step": 315
|
| 451 |
},
|
| 452 |
{
|
| 453 |
-
"epoch": 0.
|
| 454 |
-
"grad_norm": 0.
|
| 455 |
-
"learning_rate":
|
| 456 |
-
"loss": 0.
|
| 457 |
"step": 320
|
| 458 |
},
|
| 459 |
{
|
| 460 |
-
"epoch": 0.
|
| 461 |
-
"grad_norm": 0.
|
| 462 |
-
"learning_rate":
|
| 463 |
-
"loss": 0.
|
| 464 |
"step": 325
|
| 465 |
},
|
| 466 |
{
|
| 467 |
-
"epoch": 0.
|
| 468 |
-
"grad_norm": 0.
|
| 469 |
-
"learning_rate":
|
| 470 |
-
"loss": 0.
|
| 471 |
"step": 330
|
| 472 |
},
|
| 473 |
{
|
| 474 |
-
"epoch": 0.
|
| 475 |
-
"grad_norm": 0.
|
| 476 |
-
"learning_rate":
|
| 477 |
-
"loss": 0.
|
| 478 |
"step": 335
|
| 479 |
},
|
| 480 |
{
|
| 481 |
-
"epoch": 0.
|
| 482 |
-
"grad_norm": 0.
|
| 483 |
-
"learning_rate":
|
| 484 |
-
"loss": 0.
|
| 485 |
"step": 340
|
| 486 |
},
|
| 487 |
{
|
| 488 |
-
"epoch": 0.
|
| 489 |
-
"grad_norm": 0.
|
| 490 |
-
"learning_rate":
|
| 491 |
-
"loss": 0.
|
| 492 |
"step": 345
|
| 493 |
},
|
| 494 |
{
|
| 495 |
-
"epoch": 0.
|
| 496 |
-
"grad_norm": 0.
|
| 497 |
-
"learning_rate":
|
| 498 |
-
"loss": 0.
|
| 499 |
"step": 350
|
| 500 |
},
|
| 501 |
{
|
| 502 |
-
"epoch": 0.
|
| 503 |
-
"grad_norm": 0.
|
| 504 |
-
"learning_rate":
|
| 505 |
-
"loss": 0.
|
| 506 |
"step": 355
|
| 507 |
},
|
| 508 |
{
|
| 509 |
-
"epoch": 0.
|
| 510 |
-
"grad_norm": 0.
|
| 511 |
-
"learning_rate":
|
| 512 |
-
"loss": 0.
|
| 513 |
"step": 360
|
| 514 |
},
|
| 515 |
{
|
| 516 |
-
"epoch": 0.
|
| 517 |
-
"grad_norm": 0.
|
| 518 |
-
"learning_rate":
|
| 519 |
-
"loss": 0.
|
| 520 |
"step": 365
|
| 521 |
},
|
| 522 |
{
|
| 523 |
-
"epoch": 0.
|
| 524 |
-
"grad_norm": 0.
|
| 525 |
-
"learning_rate":
|
| 526 |
-
"loss": 0.
|
| 527 |
"step": 370
|
| 528 |
},
|
| 529 |
{
|
| 530 |
-
"epoch": 0.
|
| 531 |
-
"grad_norm": 0.
|
| 532 |
-
"learning_rate":
|
| 533 |
-
"loss": 0.
|
| 534 |
"step": 375
|
| 535 |
},
|
| 536 |
{
|
| 537 |
-
"epoch": 0.
|
| 538 |
-
"grad_norm": 0.
|
| 539 |
-
"learning_rate":
|
| 540 |
-
"loss": 0.
|
| 541 |
"step": 380
|
| 542 |
},
|
| 543 |
{
|
| 544 |
-
"epoch": 0.
|
| 545 |
-
"grad_norm": 0.
|
| 546 |
-
"learning_rate":
|
| 547 |
-
"loss": 0.
|
| 548 |
"step": 385
|
| 549 |
},
|
| 550 |
{
|
| 551 |
-
"epoch": 0.
|
| 552 |
-
"grad_norm": 0.
|
| 553 |
-
"learning_rate":
|
| 554 |
-
"loss": 0.
|
| 555 |
"step": 390
|
| 556 |
},
|
| 557 |
{
|
| 558 |
-
"epoch": 0.
|
| 559 |
-
"grad_norm": 0.
|
| 560 |
-
"learning_rate":
|
| 561 |
-
"loss": 0.
|
| 562 |
"step": 395
|
| 563 |
},
|
| 564 |
{
|
| 565 |
-
"epoch": 0.
|
| 566 |
-
"grad_norm": 0.
|
| 567 |
-
"learning_rate":
|
| 568 |
-
"loss": 0.
|
| 569 |
"step": 400
|
| 570 |
},
|
| 571 |
{
|
| 572 |
-
"epoch": 0.
|
| 573 |
-
"grad_norm": 0.
|
| 574 |
-
"learning_rate":
|
| 575 |
-
"loss": 0.
|
| 576 |
"step": 405
|
| 577 |
},
|
| 578 |
{
|
| 579 |
-
"epoch": 0.
|
| 580 |
-
"grad_norm": 0.
|
| 581 |
-
"learning_rate":
|
| 582 |
-
"loss": 0.
|
| 583 |
"step": 410
|
| 584 |
},
|
| 585 |
{
|
| 586 |
-
"epoch": 0.
|
| 587 |
-
"grad_norm": 0.
|
| 588 |
-
"learning_rate":
|
| 589 |
-
"loss": 0.
|
| 590 |
"step": 415
|
| 591 |
},
|
| 592 |
{
|
| 593 |
-
"epoch": 0.
|
| 594 |
-
"grad_norm": 0.
|
| 595 |
-
"learning_rate":
|
| 596 |
-
"loss": 0.
|
| 597 |
"step": 420
|
| 598 |
},
|
| 599 |
{
|
| 600 |
-
"epoch": 0.
|
| 601 |
-
"grad_norm": 0.
|
| 602 |
-
"learning_rate":
|
| 603 |
-
"loss": 0.
|
| 604 |
"step": 425
|
| 605 |
},
|
| 606 |
{
|
| 607 |
-
"epoch": 0.
|
| 608 |
-
"grad_norm": 0.
|
| 609 |
-
"learning_rate":
|
| 610 |
-
"loss": 0.
|
| 611 |
"step": 430
|
| 612 |
},
|
| 613 |
{
|
| 614 |
-
"epoch": 0.
|
| 615 |
-
"grad_norm": 0.
|
| 616 |
-
"learning_rate":
|
| 617 |
-
"loss": 0.
|
| 618 |
"step": 435
|
| 619 |
},
|
| 620 |
{
|
| 621 |
-
"epoch": 0.
|
| 622 |
-
"grad_norm": 0.
|
| 623 |
-
"learning_rate":
|
| 624 |
-
"loss": 0.
|
| 625 |
"step": 440
|
| 626 |
},
|
| 627 |
{
|
| 628 |
-
"epoch": 0.
|
| 629 |
-
"grad_norm": 0.
|
| 630 |
-
"learning_rate":
|
| 631 |
-
"loss": 0.
|
| 632 |
"step": 445
|
| 633 |
},
|
| 634 |
{
|
| 635 |
-
"epoch": 0.
|
| 636 |
-
"grad_norm": 0.
|
| 637 |
-
"learning_rate":
|
| 638 |
-
"loss": 0.
|
| 639 |
"step": 450
|
| 640 |
},
|
| 641 |
{
|
| 642 |
-
"epoch": 0.
|
| 643 |
-
"grad_norm": 0.
|
| 644 |
-
"learning_rate":
|
| 645 |
-
"loss": 0.
|
| 646 |
"step": 455
|
| 647 |
},
|
| 648 |
{
|
| 649 |
-
"epoch": 0.
|
| 650 |
-
"grad_norm": 0.
|
| 651 |
-
"learning_rate":
|
| 652 |
-
"loss": 0.
|
| 653 |
"step": 460
|
| 654 |
},
|
| 655 |
{
|
| 656 |
-
"epoch": 0.
|
| 657 |
-
"grad_norm": 0.
|
| 658 |
-
"learning_rate":
|
| 659 |
-
"loss": 0.
|
| 660 |
"step": 465
|
| 661 |
},
|
| 662 |
{
|
| 663 |
-
"epoch": 0.
|
| 664 |
-
"grad_norm": 0.
|
| 665 |
-
"learning_rate":
|
| 666 |
-
"loss": 0.
|
| 667 |
"step": 470
|
| 668 |
},
|
| 669 |
{
|
| 670 |
-
"epoch": 0.
|
| 671 |
-
"grad_norm": 0.
|
| 672 |
-
"learning_rate":
|
| 673 |
-
"loss": 0.
|
| 674 |
"step": 475
|
| 675 |
},
|
| 676 |
{
|
| 677 |
-
"epoch": 0.
|
| 678 |
-
"grad_norm": 0.
|
| 679 |
-
"learning_rate":
|
| 680 |
-
"loss": 0.
|
| 681 |
"step": 480
|
| 682 |
},
|
| 683 |
{
|
| 684 |
-
"epoch": 0.
|
| 685 |
-
"grad_norm": 0.
|
| 686 |
-
"learning_rate":
|
| 687 |
-
"loss": 0.
|
| 688 |
"step": 485
|
| 689 |
},
|
| 690 |
{
|
| 691 |
-
"epoch": 0.
|
| 692 |
-
"grad_norm": 0.
|
| 693 |
-
"learning_rate":
|
| 694 |
-
"loss": 0.
|
| 695 |
"step": 490
|
| 696 |
},
|
| 697 |
{
|
| 698 |
-
"epoch": 0.
|
| 699 |
-
"grad_norm": 0.
|
| 700 |
-
"learning_rate":
|
| 701 |
-
"loss": 0.
|
| 702 |
"step": 495
|
| 703 |
},
|
| 704 |
{
|
| 705 |
-
"epoch": 0.
|
| 706 |
-
"grad_norm": 0.
|
| 707 |
-
"learning_rate":
|
| 708 |
-
"loss": 0.
|
| 709 |
"step": 500
|
| 710 |
},
|
| 711 |
{
|
| 712 |
-
"epoch": 0.
|
| 713 |
-
"grad_norm": 0.
|
| 714 |
-
"learning_rate":
|
| 715 |
-
"loss": 0.
|
| 716 |
"step": 505
|
| 717 |
},
|
| 718 |
{
|
| 719 |
-
"epoch": 0.
|
| 720 |
-
"grad_norm": 0.
|
| 721 |
-
"learning_rate":
|
| 722 |
-
"loss": 0.
|
| 723 |
"step": 510
|
| 724 |
},
|
| 725 |
{
|
| 726 |
-
"epoch": 0.
|
| 727 |
-
"grad_norm": 0.
|
| 728 |
-
"learning_rate":
|
| 729 |
-
"loss": 0.
|
| 730 |
"step": 515
|
| 731 |
},
|
| 732 |
{
|
| 733 |
-
"epoch": 0.
|
| 734 |
-
"grad_norm": 0.
|
| 735 |
-
"learning_rate":
|
| 736 |
-
"loss": 0.
|
| 737 |
"step": 520
|
| 738 |
},
|
| 739 |
{
|
| 740 |
-
"epoch": 0.
|
| 741 |
-
"grad_norm": 0.
|
| 742 |
-
"learning_rate":
|
| 743 |
-
"loss": 0.
|
| 744 |
"step": 525
|
| 745 |
},
|
| 746 |
{
|
| 747 |
-
"epoch": 0.
|
| 748 |
-
"grad_norm": 0.
|
| 749 |
-
"learning_rate":
|
| 750 |
-
"loss": 0.
|
| 751 |
"step": 530
|
| 752 |
},
|
| 753 |
{
|
| 754 |
-
"epoch": 0.
|
| 755 |
-
"grad_norm": 0.
|
| 756 |
-
"learning_rate":
|
| 757 |
-
"loss": 0.
|
| 758 |
"step": 535
|
| 759 |
},
|
| 760 |
{
|
| 761 |
-
"epoch":
|
| 762 |
-
"
|
| 763 |
-
"
|
| 764 |
-
"
|
| 765 |
-
"
|
| 766 |
-
|
| 767 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 768 |
}
|
| 769 |
],
|
| 770 |
"logging_steps": 5,
|
| 771 |
-
"max_steps":
|
| 772 |
"num_input_tokens_seen": 0,
|
| 773 |
-
"num_train_epochs":
|
| 774 |
"save_steps": 100,
|
| 775 |
"stateful_callbacks": {
|
| 776 |
"TrainerControl": {
|
|
@@ -784,7 +3108,7 @@
|
|
| 784 |
"attributes": {}
|
| 785 |
}
|
| 786 |
},
|
| 787 |
-
"total_flos":
|
| 788 |
"train_batch_size": 16,
|
| 789 |
"trial_name": null,
|
| 790 |
"trial_params": null
|
|
|
|
| 1 |
{
|
| 2 |
"best_metric": null,
|
| 3 |
"best_model_checkpoint": null,
|
| 4 |
+
"epoch": 3.0,
|
| 5 |
"eval_steps": 500,
|
| 6 |
+
"global_step": 2199,
|
| 7 |
"is_hyper_param_search": false,
|
| 8 |
"is_local_process_zero": true,
|
| 9 |
"is_world_process_zero": true,
|
| 10 |
"log_history": [
|
| 11 |
{
|
| 12 |
+
"epoch": 0.0068212824010914054,
|
| 13 |
+
"grad_norm": 18.465126450848995,
|
| 14 |
+
"learning_rate": 9.090909090909091e-07,
|
| 15 |
+
"loss": 1.2862,
|
| 16 |
"step": 5
|
| 17 |
},
|
| 18 |
{
|
| 19 |
+
"epoch": 0.013642564802182811,
|
| 20 |
+
"grad_norm": 9.620521609167104,
|
| 21 |
+
"learning_rate": 1.8181818181818183e-06,
|
| 22 |
+
"loss": 1.2471,
|
| 23 |
"step": 10
|
| 24 |
},
|
| 25 |
{
|
| 26 |
+
"epoch": 0.020463847203274217,
|
| 27 |
+
"grad_norm": 5.6700954908479115,
|
| 28 |
+
"learning_rate": 2.7272727272727272e-06,
|
| 29 |
+
"loss": 1.1088,
|
| 30 |
"step": 15
|
| 31 |
},
|
| 32 |
{
|
| 33 |
+
"epoch": 0.027285129604365622,
|
| 34 |
+
"grad_norm": 4.396294181846934,
|
| 35 |
+
"learning_rate": 3.6363636363636366e-06,
|
| 36 |
+
"loss": 0.9952,
|
| 37 |
"step": 20
|
| 38 |
},
|
| 39 |
{
|
| 40 |
+
"epoch": 0.034106412005457026,
|
| 41 |
+
"grad_norm": 1.9531017991370636,
|
| 42 |
+
"learning_rate": 4.5454545454545455e-06,
|
| 43 |
+
"loss": 0.8603,
|
| 44 |
"step": 25
|
| 45 |
},
|
| 46 |
{
|
| 47 |
+
"epoch": 0.040927694406548434,
|
| 48 |
+
"grad_norm": 1.0277693546437923,
|
| 49 |
+
"learning_rate": 5.4545454545454545e-06,
|
| 50 |
+
"loss": 0.7665,
|
| 51 |
"step": 30
|
| 52 |
},
|
| 53 |
{
|
| 54 |
+
"epoch": 0.047748976807639835,
|
| 55 |
+
"grad_norm": 0.6910089460223975,
|
| 56 |
+
"learning_rate": 6.363636363636364e-06,
|
| 57 |
+
"loss": 0.7234,
|
| 58 |
"step": 35
|
| 59 |
},
|
| 60 |
{
|
| 61 |
+
"epoch": 0.054570259208731244,
|
| 62 |
+
"grad_norm": 0.6835108712614276,
|
| 63 |
+
"learning_rate": 7.272727272727273e-06,
|
| 64 |
+
"loss": 0.6918,
|
| 65 |
"step": 40
|
| 66 |
},
|
| 67 |
{
|
| 68 |
+
"epoch": 0.061391541609822645,
|
| 69 |
+
"grad_norm": 0.5962965736622774,
|
| 70 |
+
"learning_rate": 8.181818181818183e-06,
|
| 71 |
+
"loss": 0.6764,
|
| 72 |
"step": 45
|
| 73 |
},
|
| 74 |
{
|
| 75 |
+
"epoch": 0.06821282401091405,
|
| 76 |
+
"grad_norm": 0.6256141251393179,
|
| 77 |
+
"learning_rate": 9.090909090909091e-06,
|
| 78 |
+
"loss": 0.6703,
|
| 79 |
"step": 50
|
| 80 |
},
|
| 81 |
{
|
| 82 |
+
"epoch": 0.07503410641200546,
|
| 83 |
+
"grad_norm": 0.6342042835021994,
|
| 84 |
+
"learning_rate": 1e-05,
|
| 85 |
+
"loss": 0.6716,
|
| 86 |
"step": 55
|
| 87 |
},
|
| 88 |
{
|
| 89 |
+
"epoch": 0.08185538881309687,
|
| 90 |
+
"grad_norm": 0.5891899162044236,
|
| 91 |
+
"learning_rate": 1.0909090909090909e-05,
|
| 92 |
+
"loss": 0.6433,
|
| 93 |
"step": 60
|
| 94 |
},
|
| 95 |
{
|
| 96 |
+
"epoch": 0.08867667121418826,
|
| 97 |
+
"grad_norm": 0.5578840971439548,
|
| 98 |
+
"learning_rate": 1.181818181818182e-05,
|
| 99 |
+
"loss": 0.6437,
|
| 100 |
"step": 65
|
| 101 |
},
|
| 102 |
{
|
| 103 |
+
"epoch": 0.09549795361527967,
|
| 104 |
+
"grad_norm": 0.5704118464239262,
|
| 105 |
+
"learning_rate": 1.2727272727272728e-05,
|
| 106 |
+
"loss": 0.634,
|
| 107 |
"step": 70
|
| 108 |
},
|
| 109 |
{
|
| 110 |
+
"epoch": 0.10231923601637108,
|
| 111 |
+
"grad_norm": 0.5450983610009776,
|
| 112 |
+
"learning_rate": 1.3636363636363637e-05,
|
| 113 |
+
"loss": 0.6358,
|
| 114 |
"step": 75
|
| 115 |
},
|
| 116 |
{
|
| 117 |
+
"epoch": 0.10914051841746249,
|
| 118 |
+
"grad_norm": 0.5970474778155904,
|
| 119 |
+
"learning_rate": 1.4545454545454546e-05,
|
| 120 |
+
"loss": 0.6153,
|
| 121 |
"step": 80
|
| 122 |
},
|
| 123 |
{
|
| 124 |
+
"epoch": 0.11596180081855388,
|
| 125 |
+
"grad_norm": 0.6082777501619802,
|
| 126 |
+
"learning_rate": 1.5454545454545454e-05,
|
| 127 |
+
"loss": 0.6005,
|
| 128 |
"step": 85
|
| 129 |
},
|
| 130 |
{
|
| 131 |
+
"epoch": 0.12278308321964529,
|
| 132 |
+
"grad_norm": 0.6267538603338134,
|
| 133 |
+
"learning_rate": 1.6363636363636366e-05,
|
| 134 |
+
"loss": 0.618,
|
| 135 |
"step": 90
|
| 136 |
},
|
| 137 |
{
|
| 138 |
+
"epoch": 0.1296043656207367,
|
| 139 |
+
"grad_norm": 0.6468344635295971,
|
| 140 |
+
"learning_rate": 1.7272727272727274e-05,
|
| 141 |
+
"loss": 0.6142,
|
| 142 |
"step": 95
|
| 143 |
},
|
| 144 |
{
|
| 145 |
+
"epoch": 0.1364256480218281,
|
| 146 |
+
"grad_norm": 0.6177323893910839,
|
| 147 |
+
"learning_rate": 1.8181818181818182e-05,
|
| 148 |
+
"loss": 0.6097,
|
| 149 |
"step": 100
|
| 150 |
},
|
| 151 |
{
|
| 152 |
+
"epoch": 0.1432469304229195,
|
| 153 |
+
"grad_norm": 0.5904826597809681,
|
| 154 |
+
"learning_rate": 1.9090909090909094e-05,
|
| 155 |
+
"loss": 0.6081,
|
| 156 |
"step": 105
|
| 157 |
},
|
| 158 |
{
|
| 159 |
+
"epoch": 0.15006821282401092,
|
| 160 |
+
"grad_norm": 0.6497802879480495,
|
| 161 |
+
"learning_rate": 2e-05,
|
| 162 |
+
"loss": 0.6067,
|
| 163 |
"step": 110
|
| 164 |
},
|
| 165 |
{
|
| 166 |
+
"epoch": 0.15688949522510232,
|
| 167 |
+
"grad_norm": 0.6230122222887485,
|
| 168 |
+
"learning_rate": 1.9999720123762578e-05,
|
| 169 |
+
"loss": 0.6061,
|
| 170 |
"step": 115
|
| 171 |
},
|
| 172 |
{
|
| 173 |
+
"epoch": 0.16371077762619374,
|
| 174 |
+
"grad_norm": 0.7293635666196662,
|
| 175 |
+
"learning_rate": 1.9998880510874693e-05,
|
| 176 |
+
"loss": 0.5971,
|
| 177 |
"step": 120
|
| 178 |
},
|
| 179 |
{
|
| 180 |
+
"epoch": 0.17053206002728513,
|
| 181 |
+
"grad_norm": 0.6952053234528929,
|
| 182 |
+
"learning_rate": 1.9997481208808608e-05,
|
| 183 |
+
"loss": 0.5915,
|
| 184 |
"step": 125
|
| 185 |
},
|
| 186 |
{
|
| 187 |
+
"epoch": 0.17735334242837653,
|
| 188 |
+
"grad_norm": 0.6281217832903768,
|
| 189 |
+
"learning_rate": 1.9995522296681776e-05,
|
| 190 |
+
"loss": 0.6005,
|
| 191 |
"step": 130
|
| 192 |
},
|
| 193 |
{
|
| 194 |
+
"epoch": 0.18417462482946795,
|
| 195 |
+
"grad_norm": 0.6023348866340367,
|
| 196 |
+
"learning_rate": 1.999300388525237e-05,
|
| 197 |
+
"loss": 0.5965,
|
| 198 |
"step": 135
|
| 199 |
},
|
| 200 |
{
|
| 201 |
+
"epoch": 0.19099590723055934,
|
| 202 |
+
"grad_norm": 0.6399678150664048,
|
| 203 |
+
"learning_rate": 1.998992611691302e-05,
|
| 204 |
+
"loss": 0.6061,
|
| 205 |
"step": 140
|
| 206 |
},
|
| 207 |
{
|
| 208 |
+
"epoch": 0.19781718963165076,
|
| 209 |
+
"grad_norm": 0.6509643588209947,
|
| 210 |
+
"learning_rate": 1.9986289165682767e-05,
|
| 211 |
+
"loss": 0.591,
|
| 212 |
"step": 145
|
| 213 |
},
|
| 214 |
{
|
| 215 |
+
"epoch": 0.20463847203274216,
|
| 216 |
+
"grad_norm": 0.5672164251292882,
|
| 217 |
+
"learning_rate": 1.9982093237197198e-05,
|
| 218 |
+
"loss": 0.5953,
|
| 219 |
"step": 150
|
| 220 |
},
|
| 221 |
{
|
| 222 |
+
"epoch": 0.21145975443383355,
|
| 223 |
+
"grad_norm": 0.61442736571869,
|
| 224 |
+
"learning_rate": 1.9977338568696867e-05,
|
| 225 |
+
"loss": 0.583,
|
| 226 |
"step": 155
|
| 227 |
},
|
| 228 |
{
|
| 229 |
+
"epoch": 0.21828103683492497,
|
| 230 |
+
"grad_norm": 0.6163516135212436,
|
| 231 |
+
"learning_rate": 1.9972025429013836e-05,
|
| 232 |
+
"loss": 0.5996,
|
| 233 |
"step": 160
|
| 234 |
},
|
| 235 |
{
|
| 236 |
+
"epoch": 0.22510231923601637,
|
| 237 |
+
"grad_norm": 0.7074468528850713,
|
| 238 |
+
"learning_rate": 1.9966154118556494e-05,
|
| 239 |
+
"loss": 0.587,
|
| 240 |
"step": 165
|
| 241 |
},
|
| 242 |
{
|
| 243 |
+
"epoch": 0.23192360163710776,
|
| 244 |
+
"grad_norm": 0.6437004756190762,
|
| 245 |
+
"learning_rate": 1.995972496929258e-05,
|
| 246 |
+
"loss": 0.5816,
|
| 247 |
"step": 170
|
| 248 |
},
|
| 249 |
{
|
| 250 |
+
"epoch": 0.23874488403819918,
|
| 251 |
+
"grad_norm": 0.6166442107748029,
|
| 252 |
+
"learning_rate": 1.9952738344730395e-05,
|
| 253 |
+
"loss": 0.5945,
|
| 254 |
"step": 175
|
| 255 |
},
|
| 256 |
{
|
| 257 |
+
"epoch": 0.24556616643929058,
|
| 258 |
+
"grad_norm": 0.6226394993981523,
|
| 259 |
+
"learning_rate": 1.994519463989826e-05,
|
| 260 |
+
"loss": 0.5861,
|
| 261 |
"step": 180
|
| 262 |
},
|
| 263 |
{
|
| 264 |
+
"epoch": 0.252387448840382,
|
| 265 |
+
"grad_norm": 0.6352005030903742,
|
| 266 |
+
"learning_rate": 1.9937094281322186e-05,
|
| 267 |
+
"loss": 0.5852,
|
| 268 |
"step": 185
|
| 269 |
},
|
| 270 |
{
|
| 271 |
+
"epoch": 0.2592087312414734,
|
| 272 |
+
"grad_norm": 0.6052650272558217,
|
| 273 |
+
"learning_rate": 1.9928437727001743e-05,
|
| 274 |
+
"loss": 0.5918,
|
| 275 |
"step": 190
|
| 276 |
},
|
| 277 |
{
|
| 278 |
+
"epoch": 0.2660300136425648,
|
| 279 |
+
"grad_norm": 0.6460373146884708,
|
| 280 |
+
"learning_rate": 1.9919225466384163e-05,
|
| 281 |
+
"loss": 0.582,
|
| 282 |
"step": 195
|
| 283 |
},
|
| 284 |
{
|
| 285 |
+
"epoch": 0.2728512960436562,
|
| 286 |
+
"grad_norm": 0.5731142179764637,
|
| 287 |
+
"learning_rate": 1.9909458020336697e-05,
|
| 288 |
+
"loss": 0.5837,
|
| 289 |
"step": 200
|
| 290 |
},
|
| 291 |
{
|
| 292 |
+
"epoch": 0.27967257844474763,
|
| 293 |
+
"grad_norm": 0.5560540050724747,
|
| 294 |
+
"learning_rate": 1.9899135941117135e-05,
|
| 295 |
+
"loss": 0.587,
|
| 296 |
"step": 205
|
| 297 |
},
|
| 298 |
{
|
| 299 |
+
"epoch": 0.286493860845839,
|
| 300 |
+
"grad_norm": 0.5680417036845223,
|
| 301 |
+
"learning_rate": 1.988825981234258e-05,
|
| 302 |
+
"loss": 0.5741,
|
| 303 |
"step": 210
|
| 304 |
},
|
| 305 |
{
|
| 306 |
+
"epoch": 0.2933151432469304,
|
| 307 |
+
"grad_norm": 0.6156811375088975,
|
| 308 |
+
"learning_rate": 1.987683024895647e-05,
|
| 309 |
+
"loss": 0.5842,
|
| 310 |
"step": 215
|
| 311 |
},
|
| 312 |
{
|
| 313 |
+
"epoch": 0.30013642564802184,
|
| 314 |
+
"grad_norm": 0.6561647146790152,
|
| 315 |
+
"learning_rate": 1.986484789719379e-05,
|
| 316 |
+
"loss": 0.5764,
|
| 317 |
"step": 220
|
| 318 |
},
|
| 319 |
{
|
| 320 |
+
"epoch": 0.3069577080491132,
|
| 321 |
+
"grad_norm": 0.6196711771702965,
|
| 322 |
+
"learning_rate": 1.985231343454455e-05,
|
| 323 |
+
"loss": 0.5767,
|
| 324 |
"step": 225
|
| 325 |
},
|
| 326 |
{
|
| 327 |
+
"epoch": 0.31377899045020463,
|
| 328 |
+
"grad_norm": 0.6223261390308151,
|
| 329 |
+
"learning_rate": 1.9839227569715463e-05,
|
| 330 |
+
"loss": 0.5703,
|
| 331 |
"step": 230
|
| 332 |
},
|
| 333 |
{
|
| 334 |
+
"epoch": 0.32060027285129605,
|
| 335 |
+
"grad_norm": 0.6148219036902507,
|
| 336 |
+
"learning_rate": 1.9825591042589888e-05,
|
| 337 |
+
"loss": 0.5644,
|
| 338 |
"step": 235
|
| 339 |
},
|
| 340 |
{
|
| 341 |
+
"epoch": 0.3274215552523875,
|
| 342 |
+
"grad_norm": 0.6109107619627493,
|
| 343 |
+
"learning_rate": 1.9811404624185984e-05,
|
| 344 |
+
"loss": 0.5731,
|
| 345 |
"step": 240
|
| 346 |
},
|
| 347 |
{
|
| 348 |
+
"epoch": 0.33424283765347884,
|
| 349 |
+
"grad_norm": 0.597948954920139,
|
| 350 |
+
"learning_rate": 1.9796669116613128e-05,
|
| 351 |
+
"loss": 0.583,
|
| 352 |
"step": 245
|
| 353 |
},
|
| 354 |
{
|
| 355 |
+
"epoch": 0.34106412005457026,
|
| 356 |
+
"grad_norm": 0.5869886008100728,
|
| 357 |
+
"learning_rate": 1.9781385353026557e-05,
|
| 358 |
+
"loss": 0.5722,
|
| 359 |
"step": 250
|
| 360 |
},
|
| 361 |
{
|
| 362 |
+
"epoch": 0.3478854024556617,
|
| 363 |
+
"grad_norm": 0.6206830241642184,
|
| 364 |
+
"learning_rate": 1.9765554197580257e-05,
|
| 365 |
+
"loss": 0.5663,
|
| 366 |
"step": 255
|
| 367 |
},
|
| 368 |
{
|
| 369 |
+
"epoch": 0.35470668485675305,
|
| 370 |
+
"grad_norm": 0.5964076326071935,
|
| 371 |
+
"learning_rate": 1.974917654537811e-05,
|
| 372 |
+
"loss": 0.5535,
|
| 373 |
"step": 260
|
| 374 |
},
|
| 375 |
{
|
| 376 |
+
"epoch": 0.3615279672578445,
|
| 377 |
+
"grad_norm": 0.5837129031281011,
|
| 378 |
+
"learning_rate": 1.9732253322423283e-05,
|
| 379 |
+
"loss": 0.5714,
|
| 380 |
"step": 265
|
| 381 |
},
|
| 382 |
{
|
| 383 |
+
"epoch": 0.3683492496589359,
|
| 384 |
+
"grad_norm": 0.5668697682461173,
|
| 385 |
+
"learning_rate": 1.9714785485565878e-05,
|
| 386 |
+
"loss": 0.5663,
|
| 387 |
"step": 270
|
| 388 |
},
|
| 389 |
{
|
| 390 |
+
"epoch": 0.37517053206002726,
|
| 391 |
+
"grad_norm": 0.6431513321796068,
|
| 392 |
+
"learning_rate": 1.9696774022448806e-05,
|
| 393 |
+
"loss": 0.571,
|
| 394 |
"step": 275
|
| 395 |
},
|
| 396 |
{
|
| 397 |
+
"epoch": 0.3819918144611187,
|
| 398 |
+
"grad_norm": 0.6550933809459418,
|
| 399 |
+
"learning_rate": 1.9678219951451977e-05,
|
| 400 |
+
"loss": 0.5701,
|
| 401 |
"step": 280
|
| 402 |
},
|
| 403 |
{
|
| 404 |
+
"epoch": 0.3888130968622101,
|
| 405 |
+
"grad_norm": 0.5874407279816264,
|
| 406 |
+
"learning_rate": 1.9659124321634692e-05,
|
| 407 |
+
"loss": 0.5745,
|
| 408 |
"step": 285
|
| 409 |
},
|
| 410 |
{
|
| 411 |
+
"epoch": 0.3956343792633015,
|
| 412 |
+
"grad_norm": 0.5768705911971546,
|
| 413 |
+
"learning_rate": 1.963948821267636e-05,
|
| 414 |
+
"loss": 0.571,
|
| 415 |
"step": 290
|
| 416 |
},
|
| 417 |
{
|
| 418 |
+
"epoch": 0.4024556616643929,
|
| 419 |
+
"grad_norm": 0.6747901801550915,
|
| 420 |
+
"learning_rate": 1.961931273481542e-05,
|
| 421 |
+
"loss": 0.5655,
|
| 422 |
"step": 295
|
| 423 |
},
|
| 424 |
{
|
| 425 |
+
"epoch": 0.4092769440654843,
|
| 426 |
+
"grad_norm": 0.6456186229768464,
|
| 427 |
+
"learning_rate": 1.9598599028786584e-05,
|
| 428 |
+
"loss": 0.558,
|
| 429 |
"step": 300
|
| 430 |
},
|
| 431 |
{
|
| 432 |
+
"epoch": 0.41609822646657574,
|
| 433 |
+
"grad_norm": 0.6161384905122704,
|
| 434 |
+
"learning_rate": 1.9577348265756338e-05,
|
| 435 |
+
"loss": 0.5705,
|
| 436 |
"step": 305
|
| 437 |
},
|
| 438 |
{
|
| 439 |
+
"epoch": 0.4229195088676671,
|
| 440 |
+
"grad_norm": 0.6359310743099941,
|
| 441 |
+
"learning_rate": 1.9555561647256723e-05,
|
| 442 |
+
"loss": 0.5762,
|
| 443 |
"step": 310
|
| 444 |
},
|
| 445 |
{
|
| 446 |
+
"epoch": 0.4297407912687585,
|
| 447 |
+
"grad_norm": 0.7060625563181914,
|
| 448 |
+
"learning_rate": 1.95332404051174e-05,
|
| 449 |
+
"loss": 0.5736,
|
| 450 |
"step": 315
|
| 451 |
},
|
| 452 |
{
|
| 453 |
+
"epoch": 0.43656207366984995,
|
| 454 |
+
"grad_norm": 0.5367387545489988,
|
| 455 |
+
"learning_rate": 1.9510385801396e-05,
|
| 456 |
+
"loss": 0.5581,
|
| 457 |
"step": 320
|
| 458 |
},
|
| 459 |
{
|
| 460 |
+
"epoch": 0.4433833560709413,
|
| 461 |
+
"grad_norm": 0.5927035459206245,
|
| 462 |
+
"learning_rate": 1.9486999128306757e-05,
|
| 463 |
+
"loss": 0.5692,
|
| 464 |
"step": 325
|
| 465 |
},
|
| 466 |
{
|
| 467 |
+
"epoch": 0.45020463847203274,
|
| 468 |
+
"grad_norm": 0.6008067119022888,
|
| 469 |
+
"learning_rate": 1.946308170814747e-05,
|
| 470 |
+
"loss": 0.5617,
|
| 471 |
"step": 330
|
| 472 |
},
|
| 473 |
{
|
| 474 |
+
"epoch": 0.45702592087312416,
|
| 475 |
+
"grad_norm": 0.6171323825640702,
|
| 476 |
+
"learning_rate": 1.9438634893224714e-05,
|
| 477 |
+
"loss": 0.5726,
|
| 478 |
"step": 335
|
| 479 |
},
|
| 480 |
{
|
| 481 |
+
"epoch": 0.4638472032742155,
|
| 482 |
+
"grad_norm": 0.6348087429739124,
|
| 483 |
+
"learning_rate": 1.9413660065777398e-05,
|
| 484 |
+
"loss": 0.5698,
|
| 485 |
"step": 340
|
| 486 |
},
|
| 487 |
{
|
| 488 |
+
"epoch": 0.47066848567530695,
|
| 489 |
+
"grad_norm": 0.6311336601700943,
|
| 490 |
+
"learning_rate": 1.9388158637898592e-05,
|
| 491 |
+
"loss": 0.5673,
|
| 492 |
"step": 345
|
| 493 |
},
|
| 494 |
{
|
| 495 |
+
"epoch": 0.47748976807639837,
|
| 496 |
+
"grad_norm": 0.5754972961666545,
|
| 497 |
+
"learning_rate": 1.9362132051455713e-05,
|
| 498 |
+
"loss": 0.5693,
|
| 499 |
"step": 350
|
| 500 |
},
|
| 501 |
{
|
| 502 |
+
"epoch": 0.4843110504774898,
|
| 503 |
+
"grad_norm": 0.6112403337157682,
|
| 504 |
+
"learning_rate": 1.933558177800898e-05,
|
| 505 |
+
"loss": 0.5726,
|
| 506 |
"step": 355
|
| 507 |
},
|
| 508 |
{
|
| 509 |
+
"epoch": 0.49113233287858116,
|
| 510 |
+
"grad_norm": 0.608579178603472,
|
| 511 |
+
"learning_rate": 1.9308509318728216e-05,
|
| 512 |
+
"loss": 0.5587,
|
| 513 |
"step": 360
|
| 514 |
},
|
| 515 |
{
|
| 516 |
+
"epoch": 0.4979536152796726,
|
| 517 |
+
"grad_norm": 0.5585318192657098,
|
| 518 |
+
"learning_rate": 1.9280916204307976e-05,
|
| 519 |
+
"loss": 0.5599,
|
| 520 |
"step": 365
|
| 521 |
},
|
| 522 |
{
|
| 523 |
+
"epoch": 0.504774897680764,
|
| 524 |
+
"grad_norm": 0.6397266266283088,
|
| 525 |
+
"learning_rate": 1.9252803994880994e-05,
|
| 526 |
+
"loss": 0.5549,
|
| 527 |
"step": 370
|
| 528 |
},
|
| 529 |
{
|
| 530 |
+
"epoch": 0.5115961800818554,
|
| 531 |
+
"grad_norm": 0.5758670924617978,
|
| 532 |
+
"learning_rate": 1.9224174279929983e-05,
|
| 533 |
+
"loss": 0.5631,
|
| 534 |
"step": 375
|
| 535 |
},
|
| 536 |
{
|
| 537 |
+
"epoch": 0.5184174624829468,
|
| 538 |
+
"grad_norm": 0.6118586009405445,
|
| 539 |
+
"learning_rate": 1.9195028678197748e-05,
|
| 540 |
+
"loss": 0.5538,
|
| 541 |
"step": 380
|
| 542 |
},
|
| 543 |
{
|
| 544 |
+
"epoch": 0.5252387448840382,
|
| 545 |
+
"grad_norm": 0.6333491320668606,
|
| 546 |
+
"learning_rate": 1.916536883759567e-05,
|
| 547 |
+
"loss": 0.5589,
|
| 548 |
"step": 385
|
| 549 |
},
|
| 550 |
{
|
| 551 |
+
"epoch": 0.5320600272851296,
|
| 552 |
+
"grad_norm": 0.663075678783174,
|
| 553 |
+
"learning_rate": 1.9135196435110534e-05,
|
| 554 |
+
"loss": 0.5679,
|
| 555 |
"step": 390
|
| 556 |
},
|
| 557 |
{
|
| 558 |
+
"epoch": 0.538881309686221,
|
| 559 |
+
"grad_norm": 0.6476208401862266,
|
| 560 |
+
"learning_rate": 1.9104513176709713e-05,
|
| 561 |
+
"loss": 0.5553,
|
| 562 |
"step": 395
|
| 563 |
},
|
| 564 |
{
|
| 565 |
+
"epoch": 0.5457025920873124,
|
| 566 |
+
"grad_norm": 0.5634361444996904,
|
| 567 |
+
"learning_rate": 1.9073320797244707e-05,
|
| 568 |
+
"loss": 0.5642,
|
| 569 |
"step": 400
|
| 570 |
},
|
| 571 |
{
|
| 572 |
+
"epoch": 0.5525238744884038,
|
| 573 |
+
"grad_norm": 0.5943511261893936,
|
| 574 |
+
"learning_rate": 1.9041621060353047e-05,
|
| 575 |
+
"loss": 0.5638,
|
| 576 |
"step": 405
|
| 577 |
},
|
| 578 |
{
|
| 579 |
+
"epoch": 0.5593451568894953,
|
| 580 |
+
"grad_norm": 0.5692219403482403,
|
| 581 |
+
"learning_rate": 1.9009415758358588e-05,
|
| 582 |
+
"loss": 0.5582,
|
| 583 |
"step": 410
|
| 584 |
},
|
| 585 |
{
|
| 586 |
+
"epoch": 0.5661664392905866,
|
| 587 |
+
"grad_norm": 0.5878247286961229,
|
| 588 |
+
"learning_rate": 1.8976706712170178e-05,
|
| 589 |
+
"loss": 0.5492,
|
| 590 |
"step": 415
|
| 591 |
},
|
| 592 |
{
|
| 593 |
+
"epoch": 0.572987721691678,
|
| 594 |
+
"grad_norm": 0.594118308461736,
|
| 595 |
+
"learning_rate": 1.8943495771178665e-05,
|
| 596 |
+
"loss": 0.5529,
|
| 597 |
"step": 420
|
| 598 |
},
|
| 599 |
{
|
| 600 |
+
"epoch": 0.5798090040927695,
|
| 601 |
+
"grad_norm": 0.5706855416163217,
|
| 602 |
+
"learning_rate": 1.8909784813152388e-05,
|
| 603 |
+
"loss": 0.5582,
|
| 604 |
"step": 425
|
| 605 |
},
|
| 606 |
{
|
| 607 |
+
"epoch": 0.5866302864938608,
|
| 608 |
+
"grad_norm": 0.5988482524277083,
|
| 609 |
+
"learning_rate": 1.8875575744130957e-05,
|
| 610 |
+
"loss": 0.5453,
|
| 611 |
"step": 430
|
| 612 |
},
|
| 613 |
{
|
| 614 |
+
"epoch": 0.5934515688949522,
|
| 615 |
+
"grad_norm": 0.5522453262711926,
|
| 616 |
+
"learning_rate": 1.8840870498317505e-05,
|
| 617 |
+
"loss": 0.5533,
|
| 618 |
"step": 435
|
| 619 |
},
|
| 620 |
{
|
| 621 |
+
"epoch": 0.6002728512960437,
|
| 622 |
+
"grad_norm": 0.5654931208823876,
|
| 623 |
+
"learning_rate": 1.8805671037969332e-05,
|
| 624 |
+
"loss": 0.5453,
|
| 625 |
"step": 440
|
| 626 |
},
|
| 627 |
{
|
| 628 |
+
"epoch": 0.607094133697135,
|
| 629 |
+
"grad_norm": 0.6018236788722027,
|
| 630 |
+
"learning_rate": 1.8769979353286947e-05,
|
| 631 |
+
"loss": 0.5479,
|
| 632 |
"step": 445
|
| 633 |
},
|
| 634 |
{
|
| 635 |
+
"epoch": 0.6139154160982264,
|
| 636 |
+
"grad_norm": 0.6010303061293923,
|
| 637 |
+
"learning_rate": 1.873379746230154e-05,
|
| 638 |
+
"loss": 0.5573,
|
| 639 |
"step": 450
|
| 640 |
},
|
| 641 |
{
|
| 642 |
+
"epoch": 0.6207366984993179,
|
| 643 |
+
"grad_norm": 0.5864635637945892,
|
| 644 |
+
"learning_rate": 1.86971274107609e-05,
|
| 645 |
+
"loss": 0.559,
|
| 646 |
"step": 455
|
| 647 |
},
|
| 648 |
{
|
| 649 |
+
"epoch": 0.6275579809004093,
|
| 650 |
+
"grad_norm": 0.5108412439167901,
|
| 651 |
+
"learning_rate": 1.8659971272013716e-05,
|
| 652 |
+
"loss": 0.5482,
|
| 653 |
"step": 460
|
| 654 |
},
|
| 655 |
{
|
| 656 |
+
"epoch": 0.6343792633015006,
|
| 657 |
+
"grad_norm": 0.5696450573133378,
|
| 658 |
+
"learning_rate": 1.8622331146892377e-05,
|
| 659 |
+
"loss": 0.543,
|
| 660 |
"step": 465
|
| 661 |
},
|
| 662 |
{
|
| 663 |
+
"epoch": 0.6412005457025921,
|
| 664 |
+
"grad_norm": 0.5930551057489514,
|
| 665 |
+
"learning_rate": 1.8584209163594177e-05,
|
| 666 |
+
"loss": 0.5608,
|
| 667 |
"step": 470
|
| 668 |
},
|
| 669 |
{
|
| 670 |
+
"epoch": 0.6480218281036835,
|
| 671 |
+
"grad_norm": 0.5425007208596792,
|
| 672 |
+
"learning_rate": 1.854560747756098e-05,
|
| 673 |
+
"loss": 0.5484,
|
| 674 |
"step": 475
|
| 675 |
},
|
| 676 |
{
|
| 677 |
+
"epoch": 0.654843110504775,
|
| 678 |
+
"grad_norm": 0.5535649664874269,
|
| 679 |
+
"learning_rate": 1.8506528271357365e-05,
|
| 680 |
+
"loss": 0.5407,
|
| 681 |
"step": 480
|
| 682 |
},
|
| 683 |
{
|
| 684 |
+
"epoch": 0.6616643929058663,
|
| 685 |
+
"grad_norm": 0.5678822910354981,
|
| 686 |
+
"learning_rate": 1.846697375454721e-05,
|
| 687 |
+
"loss": 0.5534,
|
| 688 |
"step": 485
|
| 689 |
},
|
| 690 |
{
|
| 691 |
+
"epoch": 0.6684856753069577,
|
| 692 |
+
"grad_norm": 0.5531176845799359,
|
| 693 |
+
"learning_rate": 1.8426946163568764e-05,
|
| 694 |
+
"loss": 0.5543,
|
| 695 |
"step": 490
|
| 696 |
},
|
| 697 |
{
|
| 698 |
+
"epoch": 0.6753069577080492,
|
| 699 |
+
"grad_norm": 0.545737056928321,
|
| 700 |
+
"learning_rate": 1.8386447761608197e-05,
|
| 701 |
+
"loss": 0.5452,
|
| 702 |
"step": 495
|
| 703 |
},
|
| 704 |
{
|
| 705 |
+
"epoch": 0.6821282401091405,
|
| 706 |
+
"grad_norm": 0.5548974682360532,
|
| 707 |
+
"learning_rate": 1.834548083847164e-05,
|
| 708 |
+
"loss": 0.5451,
|
| 709 |
"step": 500
|
| 710 |
},
|
| 711 |
{
|
| 712 |
+
"epoch": 0.6889495225102319,
|
| 713 |
+
"grad_norm": 0.6041267515319638,
|
| 714 |
+
"learning_rate": 1.830404771045573e-05,
|
| 715 |
+
"loss": 0.5516,
|
| 716 |
"step": 505
|
| 717 |
},
|
| 718 |
{
|
| 719 |
+
"epoch": 0.6957708049113234,
|
| 720 |
+
"grad_norm": 0.5535683940400501,
|
| 721 |
+
"learning_rate": 1.826215072021662e-05,
|
| 722 |
+
"loss": 0.5492,
|
| 723 |
"step": 510
|
| 724 |
},
|
| 725 |
{
|
| 726 |
+
"epoch": 0.7025920873124147,
|
| 727 |
+
"grad_norm": 0.5608852748171831,
|
| 728 |
+
"learning_rate": 1.821979223663754e-05,
|
| 729 |
+
"loss": 0.5488,
|
| 730 |
"step": 515
|
| 731 |
},
|
| 732 |
{
|
| 733 |
+
"epoch": 0.7094133697135061,
|
| 734 |
+
"grad_norm": 0.6408084203178623,
|
| 735 |
+
"learning_rate": 1.817697465469485e-05,
|
| 736 |
+
"loss": 0.5602,
|
| 737 |
"step": 520
|
| 738 |
},
|
| 739 |
{
|
| 740 |
+
"epoch": 0.7162346521145976,
|
| 741 |
+
"grad_norm": 0.5932168436922046,
|
| 742 |
+
"learning_rate": 1.813370039532264e-05,
|
| 743 |
+
"loss": 0.5493,
|
| 744 |
"step": 525
|
| 745 |
},
|
| 746 |
{
|
| 747 |
+
"epoch": 0.723055934515689,
|
| 748 |
+
"grad_norm": 0.5842574049113836,
|
| 749 |
+
"learning_rate": 1.808997190527584e-05,
|
| 750 |
+
"loss": 0.5476,
|
| 751 |
"step": 530
|
| 752 |
},
|
| 753 |
{
|
| 754 |
+
"epoch": 0.7298772169167803,
|
| 755 |
+
"grad_norm": 0.5437121097077668,
|
| 756 |
+
"learning_rate": 1.804579165699187e-05,
|
| 757 |
+
"loss": 0.5467,
|
| 758 |
"step": 535
|
| 759 |
},
|
| 760 |
{
|
| 761 |
+
"epoch": 0.7366984993178718,
|
| 762 |
+
"grad_norm": 0.6303163851086648,
|
| 763 |
+
"learning_rate": 1.800116214845087e-05,
|
| 764 |
+
"loss": 0.5461,
|
| 765 |
+
"step": 540
|
| 766 |
+
},
|
| 767 |
+
{
|
| 768 |
+
"epoch": 0.7435197817189632,
|
| 769 |
+
"grad_norm": 0.5335832562666002,
|
| 770 |
+
"learning_rate": 1.795608590303444e-05,
|
| 771 |
+
"loss": 0.5558,
|
| 772 |
+
"step": 545
|
| 773 |
+
},
|
| 774 |
+
{
|
| 775 |
+
"epoch": 0.7503410641200545,
|
| 776 |
+
"grad_norm": 0.6721936398991404,
|
| 777 |
+
"learning_rate": 1.7910565469382974e-05,
|
| 778 |
+
"loss": 0.5483,
|
| 779 |
+
"step": 550
|
| 780 |
+
},
|
| 781 |
+
{
|
| 782 |
+
"epoch": 0.757162346521146,
|
| 783 |
+
"grad_norm": 0.5687080013947179,
|
| 784 |
+
"learning_rate": 1.786460342125157e-05,
|
| 785 |
+
"loss": 0.5335,
|
| 786 |
+
"step": 555
|
| 787 |
+
},
|
| 788 |
+
{
|
| 789 |
+
"epoch": 0.7639836289222374,
|
| 790 |
+
"grad_norm": 0.7069597062861273,
|
| 791 |
+
"learning_rate": 1.7818202357364478e-05,
|
| 792 |
+
"loss": 0.5423,
|
| 793 |
+
"step": 560
|
| 794 |
+
},
|
| 795 |
+
{
|
| 796 |
+
"epoch": 0.7708049113233287,
|
| 797 |
+
"grad_norm": 0.5824735587256229,
|
| 798 |
+
"learning_rate": 1.7771364901268205e-05,
|
| 799 |
+
"loss": 0.5337,
|
| 800 |
+
"step": 565
|
| 801 |
+
},
|
| 802 |
+
{
|
| 803 |
+
"epoch": 0.7776261937244202,
|
| 804 |
+
"grad_norm": 0.6959844177948984,
|
| 805 |
+
"learning_rate": 1.772409370118315e-05,
|
| 806 |
+
"loss": 0.5444,
|
| 807 |
+
"step": 570
|
| 808 |
+
},
|
| 809 |
+
{
|
| 810 |
+
"epoch": 0.7844474761255116,
|
| 811 |
+
"grad_norm": 0.6873130749235091,
|
| 812 |
+
"learning_rate": 1.767639142985388e-05,
|
| 813 |
+
"loss": 0.5429,
|
| 814 |
+
"step": 575
|
| 815 |
+
},
|
| 816 |
+
{
|
| 817 |
+
"epoch": 0.791268758526603,
|
| 818 |
+
"grad_norm": 0.5767437929893657,
|
| 819 |
+
"learning_rate": 1.762826078439802e-05,
|
| 820 |
+
"loss": 0.5416,
|
| 821 |
+
"step": 580
|
| 822 |
+
},
|
| 823 |
+
{
|
| 824 |
+
"epoch": 0.7980900409276944,
|
| 825 |
+
"grad_norm": 0.5441214283588395,
|
| 826 |
+
"learning_rate": 1.7579704486153738e-05,
|
| 827 |
+
"loss": 0.5485,
|
| 828 |
+
"step": 585
|
| 829 |
+
},
|
| 830 |
+
{
|
| 831 |
+
"epoch": 0.8049113233287858,
|
| 832 |
+
"grad_norm": 0.5993079641441991,
|
| 833 |
+
"learning_rate": 1.75307252805259e-05,
|
| 834 |
+
"loss": 0.5534,
|
| 835 |
+
"step": 590
|
| 836 |
+
},
|
| 837 |
+
{
|
| 838 |
+
"epoch": 0.8117326057298773,
|
| 839 |
+
"grad_norm": 0.5308939722920609,
|
| 840 |
+
"learning_rate": 1.7481325936830816e-05,
|
| 841 |
+
"loss": 0.5433,
|
| 842 |
+
"step": 595
|
| 843 |
+
},
|
| 844 |
+
{
|
| 845 |
+
"epoch": 0.8185538881309686,
|
| 846 |
+
"grad_norm": 0.5805766641945108,
|
| 847 |
+
"learning_rate": 1.7431509248139693e-05,
|
| 848 |
+
"loss": 0.5334,
|
| 849 |
+
"step": 600
|
| 850 |
+
},
|
| 851 |
+
{
|
| 852 |
+
"epoch": 0.82537517053206,
|
| 853 |
+
"grad_norm": 0.5536344487365091,
|
| 854 |
+
"learning_rate": 1.738127803112069e-05,
|
| 855 |
+
"loss": 0.5432,
|
| 856 |
+
"step": 605
|
| 857 |
+
},
|
| 858 |
+
{
|
| 859 |
+
"epoch": 0.8321964529331515,
|
| 860 |
+
"grad_norm": 0.6323856480342268,
|
| 861 |
+
"learning_rate": 1.733063512587967e-05,
|
| 862 |
+
"loss": 0.5442,
|
| 863 |
+
"step": 610
|
| 864 |
+
},
|
| 865 |
+
{
|
| 866 |
+
"epoch": 0.8390177353342428,
|
| 867 |
+
"grad_norm": 0.6559245786686516,
|
| 868 |
+
"learning_rate": 1.7279583395799617e-05,
|
| 869 |
+
"loss": 0.5402,
|
| 870 |
+
"step": 615
|
| 871 |
+
},
|
| 872 |
+
{
|
| 873 |
+
"epoch": 0.8458390177353342,
|
| 874 |
+
"grad_norm": 0.5851284475852746,
|
| 875 |
+
"learning_rate": 1.7228125727378736e-05,
|
| 876 |
+
"loss": 0.5393,
|
| 877 |
+
"step": 620
|
| 878 |
+
},
|
| 879 |
+
{
|
| 880 |
+
"epoch": 0.8526603001364257,
|
| 881 |
+
"grad_norm": 0.5597777332221687,
|
| 882 |
+
"learning_rate": 1.7176265030067262e-05,
|
| 883 |
+
"loss": 0.5375,
|
| 884 |
+
"step": 625
|
| 885 |
+
},
|
| 886 |
+
{
|
| 887 |
+
"epoch": 0.859481582537517,
|
| 888 |
+
"grad_norm": 0.5895269122186833,
|
| 889 |
+
"learning_rate": 1.7124004236102928e-05,
|
| 890 |
+
"loss": 0.5472,
|
| 891 |
+
"step": 630
|
| 892 |
+
},
|
| 893 |
+
{
|
| 894 |
+
"epoch": 0.8663028649386084,
|
| 895 |
+
"grad_norm": 0.5796038353372596,
|
| 896 |
+
"learning_rate": 1.7071346300345214e-05,
|
| 897 |
+
"loss": 0.5419,
|
| 898 |
+
"step": 635
|
| 899 |
+
},
|
| 900 |
+
{
|
| 901 |
+
"epoch": 0.8731241473396999,
|
| 902 |
+
"grad_norm": 0.5660780180688785,
|
| 903 |
+
"learning_rate": 1.7018294200108244e-05,
|
| 904 |
+
"loss": 0.535,
|
| 905 |
+
"step": 640
|
| 906 |
+
},
|
| 907 |
+
{
|
| 908 |
+
"epoch": 0.8799454297407913,
|
| 909 |
+
"grad_norm": 0.5364650044963768,
|
| 910 |
+
"learning_rate": 1.696485093499246e-05,
|
| 911 |
+
"loss": 0.5339,
|
| 912 |
+
"step": 645
|
| 913 |
+
},
|
| 914 |
+
{
|
| 915 |
+
"epoch": 0.8867667121418826,
|
| 916 |
+
"grad_norm": 0.5342927826503541,
|
| 917 |
+
"learning_rate": 1.6911019526715034e-05,
|
| 918 |
+
"loss": 0.5345,
|
| 919 |
+
"step": 650
|
| 920 |
+
},
|
| 921 |
+
{
|
| 922 |
+
"epoch": 0.8935879945429741,
|
| 923 |
+
"grad_norm": 0.5430545153952824,
|
| 924 |
+
"learning_rate": 1.6856803018938985e-05,
|
| 925 |
+
"loss": 0.5359,
|
| 926 |
+
"step": 655
|
| 927 |
+
},
|
| 928 |
+
{
|
| 929 |
+
"epoch": 0.9004092769440655,
|
| 930 |
+
"grad_norm": 0.557430477072381,
|
| 931 |
+
"learning_rate": 1.680220447710113e-05,
|
| 932 |
+
"loss": 0.5419,
|
| 933 |
+
"step": 660
|
| 934 |
+
},
|
| 935 |
+
{
|
| 936 |
+
"epoch": 0.9072305593451568,
|
| 937 |
+
"grad_norm": 0.542713559965484,
|
| 938 |
+
"learning_rate": 1.6747226988238726e-05,
|
| 939 |
+
"loss": 0.525,
|
| 940 |
+
"step": 665
|
| 941 |
+
},
|
| 942 |
+
{
|
| 943 |
+
"epoch": 0.9140518417462483,
|
| 944 |
+
"grad_norm": 0.5853720489252487,
|
| 945 |
+
"learning_rate": 1.6691873660814957e-05,
|
| 946 |
+
"loss": 0.5419,
|
| 947 |
+
"step": 670
|
| 948 |
+
},
|
| 949 |
+
{
|
| 950 |
+
"epoch": 0.9208731241473397,
|
| 951 |
+
"grad_norm": 0.5815003789876279,
|
| 952 |
+
"learning_rate": 1.663614762454316e-05,
|
| 953 |
+
"loss": 0.5334,
|
| 954 |
+
"step": 675
|
| 955 |
+
},
|
| 956 |
+
{
|
| 957 |
+
"epoch": 0.927694406548431,
|
| 958 |
+
"grad_norm": 0.5751964067857557,
|
| 959 |
+
"learning_rate": 1.658005203020986e-05,
|
| 960 |
+
"loss": 0.5424,
|
| 961 |
+
"step": 680
|
| 962 |
+
},
|
| 963 |
+
{
|
| 964 |
+
"epoch": 0.9345156889495225,
|
| 965 |
+
"grad_norm": 0.5788952727225173,
|
| 966 |
+
"learning_rate": 1.652359004949666e-05,
|
| 967 |
+
"loss": 0.5371,
|
| 968 |
+
"step": 685
|
| 969 |
+
},
|
| 970 |
+
{
|
| 971 |
+
"epoch": 0.9413369713506139,
|
| 972 |
+
"grad_norm": 0.6331625206720841,
|
| 973 |
+
"learning_rate": 1.6466764874800874e-05,
|
| 974 |
+
"loss": 0.5378,
|
| 975 |
+
"step": 690
|
| 976 |
+
},
|
| 977 |
+
{
|
| 978 |
+
"epoch": 0.9481582537517054,
|
| 979 |
+
"grad_norm": 0.5668796713248969,
|
| 980 |
+
"learning_rate": 1.640957971905504e-05,
|
| 981 |
+
"loss": 0.5429,
|
| 982 |
+
"step": 695
|
| 983 |
+
},
|
| 984 |
+
{
|
| 985 |
+
"epoch": 0.9549795361527967,
|
| 986 |
+
"grad_norm": 0.5377074944991675,
|
| 987 |
+
"learning_rate": 1.635203781554527e-05,
|
| 988 |
+
"loss": 0.5424,
|
| 989 |
+
"step": 700
|
| 990 |
+
},
|
| 991 |
+
{
|
| 992 |
+
"epoch": 0.9618008185538881,
|
| 993 |
+
"grad_norm": 0.5484681746224047,
|
| 994 |
+
"learning_rate": 1.629414241772842e-05,
|
| 995 |
+
"loss": 0.5287,
|
| 996 |
+
"step": 705
|
| 997 |
+
},
|
| 998 |
+
{
|
| 999 |
+
"epoch": 0.9686221009549796,
|
| 1000 |
+
"grad_norm": 0.5991504387787833,
|
| 1001 |
+
"learning_rate": 1.6235896799048145e-05,
|
| 1002 |
+
"loss": 0.5345,
|
| 1003 |
+
"step": 710
|
| 1004 |
+
},
|
| 1005 |
+
{
|
| 1006 |
+
"epoch": 0.975443383356071,
|
| 1007 |
+
"grad_norm": 0.5578925025937715,
|
| 1008 |
+
"learning_rate": 1.6177304252749826e-05,
|
| 1009 |
+
"loss": 0.5422,
|
| 1010 |
+
"step": 715
|
| 1011 |
+
},
|
| 1012 |
+
{
|
| 1013 |
+
"epoch": 0.9822646657571623,
|
| 1014 |
+
"grad_norm": 0.585777983796673,
|
| 1015 |
+
"learning_rate": 1.611836809169435e-05,
|
| 1016 |
+
"loss": 0.5378,
|
| 1017 |
+
"step": 720
|
| 1018 |
+
},
|
| 1019 |
+
{
|
| 1020 |
+
"epoch": 0.9890859481582538,
|
| 1021 |
+
"grad_norm": 0.5557445054519161,
|
| 1022 |
+
"learning_rate": 1.6059091648170803e-05,
|
| 1023 |
+
"loss": 0.5371,
|
| 1024 |
+
"step": 725
|
| 1025 |
+
},
|
| 1026 |
+
{
|
| 1027 |
+
"epoch": 0.9959072305593452,
|
| 1028 |
+
"grad_norm": 0.5937106051672906,
|
| 1029 |
+
"learning_rate": 1.599947827370807e-05,
|
| 1030 |
+
"loss": 0.537,
|
| 1031 |
+
"step": 730
|
| 1032 |
+
},
|
| 1033 |
+
{
|
| 1034 |
+
"epoch": 1.0027285129604366,
|
| 1035 |
+
"grad_norm": 0.6017563200393091,
|
| 1036 |
+
"learning_rate": 1.593953133888534e-05,
|
| 1037 |
+
"loss": 0.5097,
|
| 1038 |
+
"step": 735
|
| 1039 |
+
},
|
| 1040 |
+
{
|
| 1041 |
+
"epoch": 1.009549795361528,
|
| 1042 |
+
"grad_norm": 0.5789953133346527,
|
| 1043 |
+
"learning_rate": 1.587925423314151e-05,
|
| 1044 |
+
"loss": 0.4832,
|
| 1045 |
+
"step": 740
|
| 1046 |
+
},
|
| 1047 |
+
{
|
| 1048 |
+
"epoch": 1.0163710777626194,
|
| 1049 |
+
"grad_norm": 0.5848419672480973,
|
| 1050 |
+
"learning_rate": 1.5818650364583558e-05,
|
| 1051 |
+
"loss": 0.4869,
|
| 1052 |
+
"step": 745
|
| 1053 |
+
},
|
| 1054 |
+
{
|
| 1055 |
+
"epoch": 1.0231923601637107,
|
| 1056 |
+
"grad_norm": 0.578364888371545,
|
| 1057 |
+
"learning_rate": 1.5757723159793856e-05,
|
| 1058 |
+
"loss": 0.4896,
|
| 1059 |
+
"step": 750
|
| 1060 |
+
},
|
| 1061 |
+
{
|
| 1062 |
+
"epoch": 1.030013642564802,
|
| 1063 |
+
"grad_norm": 0.594731084476994,
|
| 1064 |
+
"learning_rate": 1.569647606363641e-05,
|
| 1065 |
+
"loss": 0.4907,
|
| 1066 |
+
"step": 755
|
| 1067 |
+
},
|
| 1068 |
+
{
|
| 1069 |
+
"epoch": 1.0368349249658937,
|
| 1070 |
+
"grad_norm": 0.5564767523675749,
|
| 1071 |
+
"learning_rate": 1.5634912539062082e-05,
|
| 1072 |
+
"loss": 0.4876,
|
| 1073 |
+
"step": 760
|
| 1074 |
+
},
|
| 1075 |
+
{
|
| 1076 |
+
"epoch": 1.043656207366985,
|
| 1077 |
+
"grad_norm": 0.5327928111213208,
|
| 1078 |
+
"learning_rate": 1.5573036066912828e-05,
|
| 1079 |
+
"loss": 0.4837,
|
| 1080 |
+
"step": 765
|
| 1081 |
+
},
|
| 1082 |
+
{
|
| 1083 |
+
"epoch": 1.0504774897680764,
|
| 1084 |
+
"grad_norm": 0.592472989786851,
|
| 1085 |
+
"learning_rate": 1.551085014572485e-05,
|
| 1086 |
+
"loss": 0.4912,
|
| 1087 |
+
"step": 770
|
| 1088 |
+
},
|
| 1089 |
+
{
|
| 1090 |
+
"epoch": 1.0572987721691678,
|
| 1091 |
+
"grad_norm": 0.5227283978305189,
|
| 1092 |
+
"learning_rate": 1.54483582915308e-05,
|
| 1093 |
+
"loss": 0.4771,
|
| 1094 |
+
"step": 775
|
| 1095 |
+
},
|
| 1096 |
+
{
|
| 1097 |
+
"epoch": 1.0641200545702592,
|
| 1098 |
+
"grad_norm": 0.5379678465775848,
|
| 1099 |
+
"learning_rate": 1.538556403766099e-05,
|
| 1100 |
+
"loss": 0.4851,
|
| 1101 |
+
"step": 780
|
| 1102 |
+
},
|
| 1103 |
+
{
|
| 1104 |
+
"epoch": 1.0709413369713505,
|
| 1105 |
+
"grad_norm": 0.5474394476151215,
|
| 1106 |
+
"learning_rate": 1.53224709345436e-05,
|
| 1107 |
+
"loss": 0.4808,
|
| 1108 |
+
"step": 785
|
| 1109 |
+
},
|
| 1110 |
+
{
|
| 1111 |
+
"epoch": 1.077762619372442,
|
| 1112 |
+
"grad_norm": 0.5710971261744433,
|
| 1113 |
+
"learning_rate": 1.525908254950394e-05,
|
| 1114 |
+
"loss": 0.4937,
|
| 1115 |
+
"step": 790
|
| 1116 |
+
},
|
| 1117 |
+
{
|
| 1118 |
+
"epoch": 1.0845839017735335,
|
| 1119 |
+
"grad_norm": 0.5610883325946029,
|
| 1120 |
+
"learning_rate": 1.5195402466562763e-05,
|
| 1121 |
+
"loss": 0.4786,
|
| 1122 |
+
"step": 795
|
| 1123 |
+
},
|
| 1124 |
+
{
|
| 1125 |
+
"epoch": 1.0914051841746248,
|
| 1126 |
+
"grad_norm": 0.5421423204699313,
|
| 1127 |
+
"learning_rate": 1.5131434286233609e-05,
|
| 1128 |
+
"loss": 0.485,
|
| 1129 |
+
"step": 800
|
| 1130 |
+
},
|
| 1131 |
+
{
|
| 1132 |
+
"epoch": 1.0982264665757162,
|
| 1133 |
+
"grad_norm": 0.5609906221418015,
|
| 1134 |
+
"learning_rate": 1.5067181625319226e-05,
|
| 1135 |
+
"loss": 0.4816,
|
| 1136 |
+
"step": 805
|
| 1137 |
+
},
|
| 1138 |
+
{
|
| 1139 |
+
"epoch": 1.1050477489768076,
|
| 1140 |
+
"grad_norm": 0.5566971437091169,
|
| 1141 |
+
"learning_rate": 1.5002648116707088e-05,
|
| 1142 |
+
"loss": 0.4835,
|
| 1143 |
+
"step": 810
|
| 1144 |
+
},
|
| 1145 |
+
{
|
| 1146 |
+
"epoch": 1.111869031377899,
|
| 1147 |
+
"grad_norm": 0.5887214075043982,
|
| 1148 |
+
"learning_rate": 1.4937837409163974e-05,
|
| 1149 |
+
"loss": 0.4815,
|
| 1150 |
+
"step": 815
|
| 1151 |
+
},
|
| 1152 |
+
{
|
| 1153 |
+
"epoch": 1.1186903137789905,
|
| 1154 |
+
"grad_norm": 0.5271592242391223,
|
| 1155 |
+
"learning_rate": 1.4872753167129681e-05,
|
| 1156 |
+
"loss": 0.4877,
|
| 1157 |
+
"step": 820
|
| 1158 |
+
},
|
| 1159 |
+
{
|
| 1160 |
+
"epoch": 1.125511596180082,
|
| 1161 |
+
"grad_norm": 0.5316500397899709,
|
| 1162 |
+
"learning_rate": 1.480739907050982e-05,
|
| 1163 |
+
"loss": 0.4801,
|
| 1164 |
+
"step": 825
|
| 1165 |
+
},
|
| 1166 |
+
{
|
| 1167 |
+
"epoch": 1.1323328785811733,
|
| 1168 |
+
"grad_norm": 0.5377073263146588,
|
| 1169 |
+
"learning_rate": 1.4741778814467752e-05,
|
| 1170 |
+
"loss": 0.4701,
|
| 1171 |
+
"step": 830
|
| 1172 |
+
},
|
| 1173 |
+
{
|
| 1174 |
+
"epoch": 1.1391541609822646,
|
| 1175 |
+
"grad_norm": 0.5624072894347254,
|
| 1176 |
+
"learning_rate": 1.467589610921568e-05,
|
| 1177 |
+
"loss": 0.4788,
|
| 1178 |
+
"step": 835
|
| 1179 |
+
},
|
| 1180 |
+
{
|
| 1181 |
+
"epoch": 1.145975443383356,
|
| 1182 |
+
"grad_norm": 0.5906743104838152,
|
| 1183 |
+
"learning_rate": 1.460975467980484e-05,
|
| 1184 |
+
"loss": 0.4876,
|
| 1185 |
+
"step": 840
|
| 1186 |
+
},
|
| 1187 |
+
{
|
| 1188 |
+
"epoch": 1.1527967257844476,
|
| 1189 |
+
"grad_norm": 0.5718421588816008,
|
| 1190 |
+
"learning_rate": 1.4543358265914908e-05,
|
| 1191 |
+
"loss": 0.493,
|
| 1192 |
+
"step": 845
|
| 1193 |
+
},
|
| 1194 |
+
{
|
| 1195 |
+
"epoch": 1.159618008185539,
|
| 1196 |
+
"grad_norm": 0.5631554530445114,
|
| 1197 |
+
"learning_rate": 1.4476710621642558e-05,
|
| 1198 |
+
"loss": 0.4739,
|
| 1199 |
+
"step": 850
|
| 1200 |
+
},
|
| 1201 |
+
{
|
| 1202 |
+
"epoch": 1.1664392905866303,
|
| 1203 |
+
"grad_norm": 0.6070569685998446,
|
| 1204 |
+
"learning_rate": 1.440981551528918e-05,
|
| 1205 |
+
"loss": 0.4902,
|
| 1206 |
+
"step": 855
|
| 1207 |
+
},
|
| 1208 |
+
{
|
| 1209 |
+
"epoch": 1.1732605729877217,
|
| 1210 |
+
"grad_norm": 0.5658464706783969,
|
| 1211 |
+
"learning_rate": 1.4342676729147843e-05,
|
| 1212 |
+
"loss": 0.4908,
|
| 1213 |
+
"step": 860
|
| 1214 |
+
},
|
| 1215 |
+
{
|
| 1216 |
+
"epoch": 1.180081855388813,
|
| 1217 |
+
"grad_norm": 0.5416876036701612,
|
| 1218 |
+
"learning_rate": 1.4275298059289425e-05,
|
| 1219 |
+
"loss": 0.4831,
|
| 1220 |
+
"step": 865
|
| 1221 |
+
},
|
| 1222 |
+
{
|
| 1223 |
+
"epoch": 1.1869031377899044,
|
| 1224 |
+
"grad_norm": 0.560469117786521,
|
| 1225 |
+
"learning_rate": 1.4207683315347982e-05,
|
| 1226 |
+
"loss": 0.4844,
|
| 1227 |
+
"step": 870
|
| 1228 |
+
},
|
| 1229 |
+
{
|
| 1230 |
+
"epoch": 1.1937244201909958,
|
| 1231 |
+
"grad_norm": 0.5481177877539514,
|
| 1232 |
+
"learning_rate": 1.413983632030536e-05,
|
| 1233 |
+
"loss": 0.4795,
|
| 1234 |
+
"step": 875
|
| 1235 |
+
},
|
| 1236 |
+
{
|
| 1237 |
+
"epoch": 1.2005457025920874,
|
| 1238 |
+
"grad_norm": 0.5681558280441125,
|
| 1239 |
+
"learning_rate": 1.4071760910275038e-05,
|
| 1240 |
+
"loss": 0.4784,
|
| 1241 |
+
"step": 880
|
| 1242 |
+
},
|
| 1243 |
+
{
|
| 1244 |
+
"epoch": 1.2073669849931787,
|
| 1245 |
+
"grad_norm": 0.5318718671934336,
|
| 1246 |
+
"learning_rate": 1.4003460934285218e-05,
|
| 1247 |
+
"loss": 0.4787,
|
| 1248 |
+
"step": 885
|
| 1249 |
+
},
|
| 1250 |
+
{
|
| 1251 |
+
"epoch": 1.21418826739427,
|
| 1252 |
+
"grad_norm": 0.5718755695129025,
|
| 1253 |
+
"learning_rate": 1.393494025406121e-05,
|
| 1254 |
+
"loss": 0.495,
|
| 1255 |
+
"step": 890
|
| 1256 |
+
},
|
| 1257 |
+
{
|
| 1258 |
+
"epoch": 1.2210095497953615,
|
| 1259 |
+
"grad_norm": 0.5599038488798523,
|
| 1260 |
+
"learning_rate": 1.3866202743807093e-05,
|
| 1261 |
+
"loss": 0.4791,
|
| 1262 |
+
"step": 895
|
| 1263 |
+
},
|
| 1264 |
+
{
|
| 1265 |
+
"epoch": 1.2278308321964528,
|
| 1266 |
+
"grad_norm": 0.521420144525357,
|
| 1267 |
+
"learning_rate": 1.3797252289986652e-05,
|
| 1268 |
+
"loss": 0.4878,
|
| 1269 |
+
"step": 900
|
| 1270 |
+
},
|
| 1271 |
+
{
|
| 1272 |
+
"epoch": 1.2346521145975444,
|
| 1273 |
+
"grad_norm": 0.5502016562716098,
|
| 1274 |
+
"learning_rate": 1.3728092791103636e-05,
|
| 1275 |
+
"loss": 0.4747,
|
| 1276 |
+
"step": 905
|
| 1277 |
+
},
|
| 1278 |
+
{
|
| 1279 |
+
"epoch": 1.2414733969986358,
|
| 1280 |
+
"grad_norm": 0.5622573206127941,
|
| 1281 |
+
"learning_rate": 1.3658728157481348e-05,
|
| 1282 |
+
"loss": 0.4835,
|
| 1283 |
+
"step": 910
|
| 1284 |
+
},
|
| 1285 |
+
{
|
| 1286 |
+
"epoch": 1.2482946793997272,
|
| 1287 |
+
"grad_norm": 0.5263982972376154,
|
| 1288 |
+
"learning_rate": 1.3589162311041541e-05,
|
| 1289 |
+
"loss": 0.469,
|
| 1290 |
+
"step": 915
|
| 1291 |
+
},
|
| 1292 |
+
{
|
| 1293 |
+
"epoch": 1.2551159618008185,
|
| 1294 |
+
"grad_norm": 0.5500878868160901,
|
| 1295 |
+
"learning_rate": 1.3519399185082667e-05,
|
| 1296 |
+
"loss": 0.4739,
|
| 1297 |
+
"step": 920
|
| 1298 |
+
},
|
| 1299 |
+
{
|
| 1300 |
+
"epoch": 1.26193724420191,
|
| 1301 |
+
"grad_norm": 0.6026056698282768,
|
| 1302 |
+
"learning_rate": 1.3449442724057497e-05,
|
| 1303 |
+
"loss": 0.4924,
|
| 1304 |
+
"step": 925
|
| 1305 |
+
},
|
| 1306 |
+
{
|
| 1307 |
+
"epoch": 1.2687585266030013,
|
| 1308 |
+
"grad_norm": 0.5431124968837951,
|
| 1309 |
+
"learning_rate": 1.3379296883350088e-05,
|
| 1310 |
+
"loss": 0.4892,
|
| 1311 |
+
"step": 930
|
| 1312 |
+
},
|
| 1313 |
+
{
|
| 1314 |
+
"epoch": 1.2755798090040928,
|
| 1315 |
+
"grad_norm": 0.580656703476472,
|
| 1316 |
+
"learning_rate": 1.3308965629052152e-05,
|
| 1317 |
+
"loss": 0.4727,
|
| 1318 |
+
"step": 935
|
| 1319 |
+
},
|
| 1320 |
+
{
|
| 1321 |
+
"epoch": 1.2824010914051842,
|
| 1322 |
+
"grad_norm": 0.5565788524737827,
|
| 1323 |
+
"learning_rate": 1.3238452937738808e-05,
|
| 1324 |
+
"loss": 0.4801,
|
| 1325 |
+
"step": 940
|
| 1326 |
+
},
|
| 1327 |
+
{
|
| 1328 |
+
"epoch": 1.2892223738062756,
|
| 1329 |
+
"grad_norm": 0.555006125503962,
|
| 1330 |
+
"learning_rate": 1.316776279624374e-05,
|
| 1331 |
+
"loss": 0.4767,
|
| 1332 |
+
"step": 945
|
| 1333 |
+
},
|
| 1334 |
+
{
|
| 1335 |
+
"epoch": 1.296043656207367,
|
| 1336 |
+
"grad_norm": 0.5134647139179601,
|
| 1337 |
+
"learning_rate": 1.3096899201433773e-05,
|
| 1338 |
+
"loss": 0.4884,
|
| 1339 |
+
"step": 950
|
| 1340 |
+
},
|
| 1341 |
+
{
|
| 1342 |
+
"epoch": 1.3028649386084583,
|
| 1343 |
+
"grad_norm": 0.5348048148302267,
|
| 1344 |
+
"learning_rate": 1.3025866159982911e-05,
|
| 1345 |
+
"loss": 0.4861,
|
| 1346 |
+
"step": 955
|
| 1347 |
+
},
|
| 1348 |
+
{
|
| 1349 |
+
"epoch": 1.30968622100955,
|
| 1350 |
+
"grad_norm": 0.49693099647843164,
|
| 1351 |
+
"learning_rate": 1.2954667688145776e-05,
|
| 1352 |
+
"loss": 0.4786,
|
| 1353 |
+
"step": 960
|
| 1354 |
+
},
|
| 1355 |
+
{
|
| 1356 |
+
"epoch": 1.3165075034106413,
|
| 1357 |
+
"grad_norm": 0.5577481647212771,
|
| 1358 |
+
"learning_rate": 1.288330781153053e-05,
|
| 1359 |
+
"loss": 0.4868,
|
| 1360 |
+
"step": 965
|
| 1361 |
+
},
|
| 1362 |
+
{
|
| 1363 |
+
"epoch": 1.3233287858117326,
|
| 1364 |
+
"grad_norm": 0.5399989818626563,
|
| 1365 |
+
"learning_rate": 1.2811790564871267e-05,
|
| 1366 |
+
"loss": 0.4806,
|
| 1367 |
+
"step": 970
|
| 1368 |
+
},
|
| 1369 |
+
{
|
| 1370 |
+
"epoch": 1.330150068212824,
|
| 1371 |
+
"grad_norm": 0.5575148329842877,
|
| 1372 |
+
"learning_rate": 1.2740119991799886e-05,
|
| 1373 |
+
"loss": 0.476,
|
| 1374 |
+
"step": 975
|
| 1375 |
+
},
|
| 1376 |
+
{
|
| 1377 |
+
"epoch": 1.3369713506139154,
|
| 1378 |
+
"grad_norm": 0.5547901315683899,
|
| 1379 |
+
"learning_rate": 1.2668300144617462e-05,
|
| 1380 |
+
"loss": 0.4863,
|
| 1381 |
+
"step": 980
|
| 1382 |
+
},
|
| 1383 |
+
{
|
| 1384 |
+
"epoch": 1.3437926330150067,
|
| 1385 |
+
"grad_norm": 0.5949235354356381,
|
| 1386 |
+
"learning_rate": 1.2596335084065132e-05,
|
| 1387 |
+
"loss": 0.4853,
|
| 1388 |
+
"step": 985
|
| 1389 |
+
},
|
| 1390 |
+
{
|
| 1391 |
+
"epoch": 1.350613915416098,
|
| 1392 |
+
"grad_norm": 0.5964373026015896,
|
| 1393 |
+
"learning_rate": 1.2524228879094482e-05,
|
| 1394 |
+
"loss": 0.484,
|
| 1395 |
+
"step": 990
|
| 1396 |
+
},
|
| 1397 |
+
{
|
| 1398 |
+
"epoch": 1.3574351978171897,
|
| 1399 |
+
"grad_norm": 0.5370227190774329,
|
| 1400 |
+
"learning_rate": 1.2451985606637507e-05,
|
| 1401 |
+
"loss": 0.4746,
|
| 1402 |
+
"step": 995
|
| 1403 |
+
},
|
| 1404 |
+
{
|
| 1405 |
+
"epoch": 1.364256480218281,
|
| 1406 |
+
"grad_norm": 0.5369132356481505,
|
| 1407 |
+
"learning_rate": 1.2379609351376069e-05,
|
| 1408 |
+
"loss": 0.4836,
|
| 1409 |
+
"step": 1000
|
| 1410 |
+
},
|
| 1411 |
+
{
|
| 1412 |
+
"epoch": 1.3710777626193724,
|
| 1413 |
+
"grad_norm": 0.547761037213123,
|
| 1414 |
+
"learning_rate": 1.2307104205510983e-05,
|
| 1415 |
+
"loss": 0.49,
|
| 1416 |
+
"step": 1005
|
| 1417 |
+
},
|
| 1418 |
+
{
|
| 1419 |
+
"epoch": 1.3778990450204638,
|
| 1420 |
+
"grad_norm": 0.5883424816418631,
|
| 1421 |
+
"learning_rate": 1.2234474268530617e-05,
|
| 1422 |
+
"loss": 0.4846,
|
| 1423 |
+
"step": 1010
|
| 1424 |
+
},
|
| 1425 |
+
{
|
| 1426 |
+
"epoch": 1.3847203274215554,
|
| 1427 |
+
"grad_norm": 0.5246360871622825,
|
| 1428 |
+
"learning_rate": 1.2161723646979114e-05,
|
| 1429 |
+
"loss": 0.4841,
|
| 1430 |
+
"step": 1015
|
| 1431 |
+
},
|
| 1432 |
+
{
|
| 1433 |
+
"epoch": 1.3915416098226467,
|
| 1434 |
+
"grad_norm": 0.5749156554017738,
|
| 1435 |
+
"learning_rate": 1.2088856454224184e-05,
|
| 1436 |
+
"loss": 0.4814,
|
| 1437 |
+
"step": 1020
|
| 1438 |
+
},
|
| 1439 |
+
{
|
| 1440 |
+
"epoch": 1.398362892223738,
|
| 1441 |
+
"grad_norm": 0.6039253797362124,
|
| 1442 |
+
"learning_rate": 1.2015876810224576e-05,
|
| 1443 |
+
"loss": 0.4808,
|
| 1444 |
+
"step": 1025
|
| 1445 |
+
},
|
| 1446 |
+
{
|
| 1447 |
+
"epoch": 1.4051841746248295,
|
| 1448 |
+
"grad_norm": 0.5497121870941617,
|
| 1449 |
+
"learning_rate": 1.1942788841297081e-05,
|
| 1450 |
+
"loss": 0.4862,
|
| 1451 |
+
"step": 1030
|
| 1452 |
+
},
|
| 1453 |
+
{
|
| 1454 |
+
"epoch": 1.4120054570259208,
|
| 1455 |
+
"grad_norm": 0.5672274153305226,
|
| 1456 |
+
"learning_rate": 1.1869596679883273e-05,
|
| 1457 |
+
"loss": 0.4836,
|
| 1458 |
+
"step": 1035
|
| 1459 |
+
},
|
| 1460 |
+
{
|
| 1461 |
+
"epoch": 1.4188267394270122,
|
| 1462 |
+
"grad_norm": 0.5415049021394123,
|
| 1463 |
+
"learning_rate": 1.1796304464315827e-05,
|
| 1464 |
+
"loss": 0.4721,
|
| 1465 |
+
"step": 1040
|
| 1466 |
+
},
|
| 1467 |
+
{
|
| 1468 |
+
"epoch": 1.4256480218281036,
|
| 1469 |
+
"grad_norm": 0.5483284640349972,
|
| 1470 |
+
"learning_rate": 1.172291633858454e-05,
|
| 1471 |
+
"loss": 0.4783,
|
| 1472 |
+
"step": 1045
|
| 1473 |
+
},
|
| 1474 |
+
{
|
| 1475 |
+
"epoch": 1.4324693042291952,
|
| 1476 |
+
"grad_norm": 0.5395763465174175,
|
| 1477 |
+
"learning_rate": 1.164943645210204e-05,
|
| 1478 |
+
"loss": 0.4742,
|
| 1479 |
+
"step": 1050
|
| 1480 |
+
},
|
| 1481 |
+
{
|
| 1482 |
+
"epoch": 1.4392905866302865,
|
| 1483 |
+
"grad_norm": 0.5536500830425668,
|
| 1484 |
+
"learning_rate": 1.157586895946917e-05,
|
| 1485 |
+
"loss": 0.4777,
|
| 1486 |
+
"step": 1055
|
| 1487 |
+
},
|
| 1488 |
+
{
|
| 1489 |
+
"epoch": 1.446111869031378,
|
| 1490 |
+
"grad_norm": 0.5744294294074994,
|
| 1491 |
+
"learning_rate": 1.1502218020240075e-05,
|
| 1492 |
+
"loss": 0.4797,
|
| 1493 |
+
"step": 1060
|
| 1494 |
+
},
|
| 1495 |
+
{
|
| 1496 |
+
"epoch": 1.4529331514324693,
|
| 1497 |
+
"grad_norm": 0.5568183996723581,
|
| 1498 |
+
"learning_rate": 1.1428487798687034e-05,
|
| 1499 |
+
"loss": 0.4796,
|
| 1500 |
+
"step": 1065
|
| 1501 |
+
},
|
| 1502 |
+
{
|
| 1503 |
+
"epoch": 1.4597544338335606,
|
| 1504 |
+
"grad_norm": 0.566358557717989,
|
| 1505 |
+
"learning_rate": 1.1354682463564985e-05,
|
| 1506 |
+
"loss": 0.4811,
|
| 1507 |
+
"step": 1070
|
| 1508 |
+
},
|
| 1509 |
+
{
|
| 1510 |
+
"epoch": 1.4665757162346522,
|
| 1511 |
+
"grad_norm": 0.5779108434063646,
|
| 1512 |
+
"learning_rate": 1.1280806187875855e-05,
|
| 1513 |
+
"loss": 0.4779,
|
| 1514 |
+
"step": 1075
|
| 1515 |
+
},
|
| 1516 |
+
{
|
| 1517 |
+
"epoch": 1.4733969986357436,
|
| 1518 |
+
"grad_norm": 0.5743272903122454,
|
| 1519 |
+
"learning_rate": 1.1206863148632588e-05,
|
| 1520 |
+
"loss": 0.4714,
|
| 1521 |
+
"step": 1080
|
| 1522 |
+
},
|
| 1523 |
+
{
|
| 1524 |
+
"epoch": 1.480218281036835,
|
| 1525 |
+
"grad_norm": 0.5406195644541576,
|
| 1526 |
+
"learning_rate": 1.1132857526622978e-05,
|
| 1527 |
+
"loss": 0.4763,
|
| 1528 |
+
"step": 1085
|
| 1529 |
+
},
|
| 1530 |
+
{
|
| 1531 |
+
"epoch": 1.4870395634379263,
|
| 1532 |
+
"grad_norm": 0.5214541285752015,
|
| 1533 |
+
"learning_rate": 1.10587935061733e-05,
|
| 1534 |
+
"loss": 0.475,
|
| 1535 |
+
"step": 1090
|
| 1536 |
+
},
|
| 1537 |
+
{
|
| 1538 |
+
"epoch": 1.4938608458390177,
|
| 1539 |
+
"grad_norm": 0.5173465487655502,
|
| 1540 |
+
"learning_rate": 1.0984675274911707e-05,
|
| 1541 |
+
"loss": 0.4844,
|
| 1542 |
+
"step": 1095
|
| 1543 |
+
},
|
| 1544 |
+
{
|
| 1545 |
+
"epoch": 1.500682128240109,
|
| 1546 |
+
"grad_norm": 0.5752958457077928,
|
| 1547 |
+
"learning_rate": 1.0910507023531472e-05,
|
| 1548 |
+
"loss": 0.4804,
|
| 1549 |
+
"step": 1100
|
| 1550 |
+
},
|
| 1551 |
+
{
|
| 1552 |
+
"epoch": 1.5075034106412004,
|
| 1553 |
+
"grad_norm": 0.5211397629386293,
|
| 1554 |
+
"learning_rate": 1.0836292945554032e-05,
|
| 1555 |
+
"loss": 0.4748,
|
| 1556 |
+
"step": 1105
|
| 1557 |
+
},
|
| 1558 |
+
{
|
| 1559 |
+
"epoch": 1.514324693042292,
|
| 1560 |
+
"grad_norm": 0.547130320582026,
|
| 1561 |
+
"learning_rate": 1.0762037237091899e-05,
|
| 1562 |
+
"loss": 0.4766,
|
| 1563 |
+
"step": 1110
|
| 1564 |
+
},
|
| 1565 |
+
{
|
| 1566 |
+
"epoch": 1.5211459754433834,
|
| 1567 |
+
"grad_norm": 0.5038548664760011,
|
| 1568 |
+
"learning_rate": 1.068774409661139e-05,
|
| 1569 |
+
"loss": 0.469,
|
| 1570 |
+
"step": 1115
|
| 1571 |
+
},
|
| 1572 |
+
{
|
| 1573 |
+
"epoch": 1.5279672578444747,
|
| 1574 |
+
"grad_norm": 0.5656095933677551,
|
| 1575 |
+
"learning_rate": 1.0613417724695261e-05,
|
| 1576 |
+
"loss": 0.4794,
|
| 1577 |
+
"step": 1120
|
| 1578 |
+
},
|
| 1579 |
+
{
|
| 1580 |
+
"epoch": 1.5347885402455663,
|
| 1581 |
+
"grad_norm": 0.5581357926336143,
|
| 1582 |
+
"learning_rate": 1.053906232380519e-05,
|
| 1583 |
+
"loss": 0.4823,
|
| 1584 |
+
"step": 1125
|
| 1585 |
+
},
|
| 1586 |
+
{
|
| 1587 |
+
"epoch": 1.5416098226466577,
|
| 1588 |
+
"grad_norm": 0.5263311155085898,
|
| 1589 |
+
"learning_rate": 1.0464682098044173e-05,
|
| 1590 |
+
"loss": 0.4681,
|
| 1591 |
+
"step": 1130
|
| 1592 |
+
},
|
| 1593 |
+
{
|
| 1594 |
+
"epoch": 1.548431105047749,
|
| 1595 |
+
"grad_norm": 0.5286624501454517,
|
| 1596 |
+
"learning_rate": 1.039028125291882e-05,
|
| 1597 |
+
"loss": 0.4728,
|
| 1598 |
+
"step": 1135
|
| 1599 |
+
},
|
| 1600 |
+
{
|
| 1601 |
+
"epoch": 1.5552523874488404,
|
| 1602 |
+
"grad_norm": 0.5141887196812334,
|
| 1603 |
+
"learning_rate": 1.0315863995101577e-05,
|
| 1604 |
+
"loss": 0.482,
|
| 1605 |
+
"step": 1140
|
| 1606 |
+
},
|
| 1607 |
+
{
|
| 1608 |
+
"epoch": 1.5620736698499318,
|
| 1609 |
+
"grad_norm": 0.541557132690286,
|
| 1610 |
+
"learning_rate": 1.0241434532192869e-05,
|
| 1611 |
+
"loss": 0.4811,
|
| 1612 |
+
"step": 1145
|
| 1613 |
+
},
|
| 1614 |
+
{
|
| 1615 |
+
"epoch": 1.5688949522510232,
|
| 1616 |
+
"grad_norm": 0.5483345732529048,
|
| 1617 |
+
"learning_rate": 1.016699707248321e-05,
|
| 1618 |
+
"loss": 0.4764,
|
| 1619 |
+
"step": 1150
|
| 1620 |
+
},
|
| 1621 |
+
{
|
| 1622 |
+
"epoch": 1.5757162346521145,
|
| 1623 |
+
"grad_norm": 0.5080094592113272,
|
| 1624 |
+
"learning_rate": 1.0092555824715253e-05,
|
| 1625 |
+
"loss": 0.4769,
|
| 1626 |
+
"step": 1155
|
| 1627 |
+
},
|
| 1628 |
+
{
|
| 1629 |
+
"epoch": 1.5825375170532059,
|
| 1630 |
+
"grad_norm": 0.5443585549154739,
|
| 1631 |
+
"learning_rate": 1.001811499784584e-05,
|
| 1632 |
+
"loss": 0.4851,
|
| 1633 |
+
"step": 1160
|
| 1634 |
+
},
|
| 1635 |
+
{
|
| 1636 |
+
"epoch": 1.5893587994542973,
|
| 1637 |
+
"grad_norm": 0.5235939718294041,
|
| 1638 |
+
"learning_rate": 9.943678800808e-06,
|
| 1639 |
+
"loss": 0.479,
|
| 1640 |
+
"step": 1165
|
| 1641 |
+
},
|
| 1642 |
+
{
|
| 1643 |
+
"epoch": 1.5961800818553888,
|
| 1644 |
+
"grad_norm": 0.5192995671803651,
|
| 1645 |
+
"learning_rate": 9.869251442273002e-06,
|
| 1646 |
+
"loss": 0.4792,
|
| 1647 |
+
"step": 1170
|
| 1648 |
+
},
|
| 1649 |
+
{
|
| 1650 |
+
"epoch": 1.6030013642564802,
|
| 1651 |
+
"grad_norm": 0.5220734079896934,
|
| 1652 |
+
"learning_rate": 9.794837130412373e-06,
|
| 1653 |
+
"loss": 0.4748,
|
| 1654 |
+
"step": 1175
|
| 1655 |
+
},
|
| 1656 |
+
{
|
| 1657 |
+
"epoch": 1.6098226466575716,
|
| 1658 |
+
"grad_norm": 0.5564541153796387,
|
| 1659 |
+
"learning_rate": 9.720440072659974e-06,
|
| 1660 |
+
"loss": 0.4791,
|
| 1661 |
+
"step": 1180
|
| 1662 |
+
},
|
| 1663 |
+
{
|
| 1664 |
+
"epoch": 1.6166439290586632,
|
| 1665 |
+
"grad_norm": 0.5577158118879879,
|
| 1666 |
+
"learning_rate": 9.646064475474109e-06,
|
| 1667 |
+
"loss": 0.48,
|
| 1668 |
+
"step": 1185
|
| 1669 |
+
},
|
| 1670 |
+
{
|
| 1671 |
+
"epoch": 1.6234652114597545,
|
| 1672 |
+
"grad_norm": 0.5224801618763832,
|
| 1673 |
+
"learning_rate": 9.571714544099688e-06,
|
| 1674 |
+
"loss": 0.4791,
|
| 1675 |
+
"step": 1190
|
| 1676 |
+
},
|
| 1677 |
+
{
|
| 1678 |
+
"epoch": 1.630286493860846,
|
| 1679 |
+
"grad_norm": 0.5031867236711891,
|
| 1680 |
+
"learning_rate": 9.497394482330454e-06,
|
| 1681 |
+
"loss": 0.4762,
|
| 1682 |
+
"step": 1195
|
| 1683 |
+
},
|
| 1684 |
+
{
|
| 1685 |
+
"epoch": 1.6371077762619373,
|
| 1686 |
+
"grad_norm": 0.5239289401796862,
|
| 1687 |
+
"learning_rate": 9.423108492271307e-06,
|
| 1688 |
+
"loss": 0.4671,
|
| 1689 |
+
"step": 1200
|
| 1690 |
+
},
|
| 1691 |
+
{
|
| 1692 |
+
"epoch": 1.6439290586630286,
|
| 1693 |
+
"grad_norm": 0.533734708582627,
|
| 1694 |
+
"learning_rate": 9.348860774100707e-06,
|
| 1695 |
+
"loss": 0.4664,
|
| 1696 |
+
"step": 1205
|
| 1697 |
+
},
|
| 1698 |
+
{
|
| 1699 |
+
"epoch": 1.65075034106412,
|
| 1700 |
+
"grad_norm": 0.5274801312649562,
|
| 1701 |
+
"learning_rate": 9.274655525833208e-06,
|
| 1702 |
+
"loss": 0.4762,
|
| 1703 |
+
"step": 1210
|
| 1704 |
+
},
|
| 1705 |
+
{
|
| 1706 |
+
"epoch": 1.6575716234652114,
|
| 1707 |
+
"grad_norm": 0.5521396681696468,
|
| 1708 |
+
"learning_rate": 9.200496943082074e-06,
|
| 1709 |
+
"loss": 0.4746,
|
| 1710 |
+
"step": 1215
|
| 1711 |
+
},
|
| 1712 |
+
{
|
| 1713 |
+
"epoch": 1.6643929058663027,
|
| 1714 |
+
"grad_norm": 0.5495546262058293,
|
| 1715 |
+
"learning_rate": 9.126389218822074e-06,
|
| 1716 |
+
"loss": 0.4712,
|
| 1717 |
+
"step": 1220
|
| 1718 |
+
},
|
| 1719 |
+
{
|
| 1720 |
+
"epoch": 1.6712141882673943,
|
| 1721 |
+
"grad_norm": 0.5336658639008486,
|
| 1722 |
+
"learning_rate": 9.05233654315241e-06,
|
| 1723 |
+
"loss": 0.4805,
|
| 1724 |
+
"step": 1225
|
| 1725 |
+
},
|
| 1726 |
+
{
|
| 1727 |
+
"epoch": 1.6780354706684857,
|
| 1728 |
+
"grad_norm": 0.5160783443020055,
|
| 1729 |
+
"learning_rate": 8.978343103059792e-06,
|
| 1730 |
+
"loss": 0.4807,
|
| 1731 |
+
"step": 1230
|
| 1732 |
+
},
|
| 1733 |
+
{
|
| 1734 |
+
"epoch": 1.684856753069577,
|
| 1735 |
+
"grad_norm": 0.5495255465692145,
|
| 1736 |
+
"learning_rate": 8.904413082181721e-06,
|
| 1737 |
+
"loss": 0.4786,
|
| 1738 |
+
"step": 1235
|
| 1739 |
+
},
|
| 1740 |
+
{
|
| 1741 |
+
"epoch": 1.6916780354706686,
|
| 1742 |
+
"grad_norm": 0.5454256388360902,
|
| 1743 |
+
"learning_rate": 8.830550660569928e-06,
|
| 1744 |
+
"loss": 0.4741,
|
| 1745 |
+
"step": 1240
|
| 1746 |
+
},
|
| 1747 |
+
{
|
| 1748 |
+
"epoch": 1.69849931787176,
|
| 1749 |
+
"grad_norm": 0.544395530290513,
|
| 1750 |
+
"learning_rate": 8.756760014454036e-06,
|
| 1751 |
+
"loss": 0.4712,
|
| 1752 |
+
"step": 1245
|
| 1753 |
+
},
|
| 1754 |
+
{
|
| 1755 |
+
"epoch": 1.7053206002728514,
|
| 1756 |
+
"grad_norm": 0.526798744015,
|
| 1757 |
+
"learning_rate": 8.683045316005439e-06,
|
| 1758 |
+
"loss": 0.4799,
|
| 1759 |
+
"step": 1250
|
| 1760 |
+
},
|
| 1761 |
+
{
|
| 1762 |
+
"epoch": 1.7121418826739427,
|
| 1763 |
+
"grad_norm": 0.5479215362022039,
|
| 1764 |
+
"learning_rate": 8.609410733101398e-06,
|
| 1765 |
+
"loss": 0.466,
|
| 1766 |
+
"step": 1255
|
| 1767 |
+
},
|
| 1768 |
+
{
|
| 1769 |
+
"epoch": 1.718963165075034,
|
| 1770 |
+
"grad_norm": 0.5454292018927241,
|
| 1771 |
+
"learning_rate": 8.53586042908939e-06,
|
| 1772 |
+
"loss": 0.476,
|
| 1773 |
+
"step": 1260
|
| 1774 |
+
},
|
| 1775 |
+
{
|
| 1776 |
+
"epoch": 1.7257844474761255,
|
| 1777 |
+
"grad_norm": 0.5438400943234664,
|
| 1778 |
+
"learning_rate": 8.462398562551707e-06,
|
| 1779 |
+
"loss": 0.4692,
|
| 1780 |
+
"step": 1265
|
| 1781 |
+
},
|
| 1782 |
+
{
|
| 1783 |
+
"epoch": 1.7326057298772168,
|
| 1784 |
+
"grad_norm": 0.5079296040398578,
|
| 1785 |
+
"learning_rate": 8.389029287070331e-06,
|
| 1786 |
+
"loss": 0.4543,
|
| 1787 |
+
"step": 1270
|
| 1788 |
+
},
|
| 1789 |
+
{
|
| 1790 |
+
"epoch": 1.7394270122783082,
|
| 1791 |
+
"grad_norm": 0.5213514483175884,
|
| 1792 |
+
"learning_rate": 8.315756750992082e-06,
|
| 1793 |
+
"loss": 0.4755,
|
| 1794 |
+
"step": 1275
|
| 1795 |
+
},
|
| 1796 |
+
{
|
| 1797 |
+
"epoch": 1.7462482946793996,
|
| 1798 |
+
"grad_norm": 0.5497937661522996,
|
| 1799 |
+
"learning_rate": 8.242585097194073e-06,
|
| 1800 |
+
"loss": 0.4792,
|
| 1801 |
+
"step": 1280
|
| 1802 |
+
},
|
| 1803 |
+
{
|
| 1804 |
+
"epoch": 1.7530695770804912,
|
| 1805 |
+
"grad_norm": 0.5092044188417733,
|
| 1806 |
+
"learning_rate": 8.169518462849465e-06,
|
| 1807 |
+
"loss": 0.4713,
|
| 1808 |
+
"step": 1285
|
| 1809 |
+
},
|
| 1810 |
+
{
|
| 1811 |
+
"epoch": 1.7598908594815825,
|
| 1812 |
+
"grad_norm": 0.546378739229266,
|
| 1813 |
+
"learning_rate": 8.096560979193547e-06,
|
| 1814 |
+
"loss": 0.475,
|
| 1815 |
+
"step": 1290
|
| 1816 |
+
},
|
| 1817 |
+
{
|
| 1818 |
+
"epoch": 1.766712141882674,
|
| 1819 |
+
"grad_norm": 0.5527538137574878,
|
| 1820 |
+
"learning_rate": 8.023716771290165e-06,
|
| 1821 |
+
"loss": 0.4744,
|
| 1822 |
+
"step": 1295
|
| 1823 |
+
},
|
| 1824 |
+
{
|
| 1825 |
+
"epoch": 1.7735334242837655,
|
| 1826 |
+
"grad_norm": 0.4973152890197007,
|
| 1827 |
+
"learning_rate": 7.950989957798477e-06,
|
| 1828 |
+
"loss": 0.4703,
|
| 1829 |
+
"step": 1300
|
| 1830 |
+
},
|
| 1831 |
+
{
|
| 1832 |
+
"epoch": 1.7803547066848568,
|
| 1833 |
+
"grad_norm": 0.5220611124048806,
|
| 1834 |
+
"learning_rate": 7.87838465074008e-06,
|
| 1835 |
+
"loss": 0.4643,
|
| 1836 |
+
"step": 1305
|
| 1837 |
+
},
|
| 1838 |
+
{
|
| 1839 |
+
"epoch": 1.7871759890859482,
|
| 1840 |
+
"grad_norm": 0.5019643870616508,
|
| 1841 |
+
"learning_rate": 7.805904955266521e-06,
|
| 1842 |
+
"loss": 0.4727,
|
| 1843 |
+
"step": 1310
|
| 1844 |
+
},
|
| 1845 |
+
{
|
| 1846 |
+
"epoch": 1.7939972714870396,
|
| 1847 |
+
"grad_norm": 0.49177653695536644,
|
| 1848 |
+
"learning_rate": 7.733554969427188e-06,
|
| 1849 |
+
"loss": 0.4783,
|
| 1850 |
+
"step": 1315
|
| 1851 |
+
},
|
| 1852 |
+
{
|
| 1853 |
+
"epoch": 1.800818553888131,
|
| 1854 |
+
"grad_norm": 0.504298617992289,
|
| 1855 |
+
"learning_rate": 7.661338783937598e-06,
|
| 1856 |
+
"loss": 0.4679,
|
| 1857 |
+
"step": 1320
|
| 1858 |
+
},
|
| 1859 |
+
{
|
| 1860 |
+
"epoch": 1.8076398362892223,
|
| 1861 |
+
"grad_norm": 0.5215596545395237,
|
| 1862 |
+
"learning_rate": 7.58926048194811e-06,
|
| 1863 |
+
"loss": 0.4696,
|
| 1864 |
+
"step": 1325
|
| 1865 |
+
},
|
| 1866 |
+
{
|
| 1867 |
+
"epoch": 1.8144611186903137,
|
| 1868 |
+
"grad_norm": 0.5132453847393322,
|
| 1869 |
+
"learning_rate": 7.51732413881306e-06,
|
| 1870 |
+
"loss": 0.4674,
|
| 1871 |
+
"step": 1330
|
| 1872 |
+
},
|
| 1873 |
+
{
|
| 1874 |
+
"epoch": 1.821282401091405,
|
| 1875 |
+
"grad_norm": 0.5446618772064099,
|
| 1876 |
+
"learning_rate": 7.4455338218603355e-06,
|
| 1877 |
+
"loss": 0.471,
|
| 1878 |
+
"step": 1335
|
| 1879 |
+
},
|
| 1880 |
+
{
|
| 1881 |
+
"epoch": 1.8281036834924966,
|
| 1882 |
+
"grad_norm": 0.5207518211396172,
|
| 1883 |
+
"learning_rate": 7.3738935901614086e-06,
|
| 1884 |
+
"loss": 0.4675,
|
| 1885 |
+
"step": 1340
|
| 1886 |
+
},
|
| 1887 |
+
{
|
| 1888 |
+
"epoch": 1.834924965893588,
|
| 1889 |
+
"grad_norm": 0.5224235181988153,
|
| 1890 |
+
"learning_rate": 7.302407494301838e-06,
|
| 1891 |
+
"loss": 0.4871,
|
| 1892 |
+
"step": 1345
|
| 1893 |
+
},
|
| 1894 |
+
{
|
| 1895 |
+
"epoch": 1.8417462482946794,
|
| 1896 |
+
"grad_norm": 0.5162392641826139,
|
| 1897 |
+
"learning_rate": 7.231079576152233e-06,
|
| 1898 |
+
"loss": 0.4721,
|
| 1899 |
+
"step": 1350
|
| 1900 |
+
},
|
| 1901 |
+
{
|
| 1902 |
+
"epoch": 1.848567530695771,
|
| 1903 |
+
"grad_norm": 0.5144000331528833,
|
| 1904 |
+
"learning_rate": 7.1599138686397375e-06,
|
| 1905 |
+
"loss": 0.4652,
|
| 1906 |
+
"step": 1355
|
| 1907 |
+
},
|
| 1908 |
+
{
|
| 1909 |
+
"epoch": 1.8553888130968623,
|
| 1910 |
+
"grad_norm": 0.5124395398662621,
|
| 1911 |
+
"learning_rate": 7.088914395520003e-06,
|
| 1912 |
+
"loss": 0.4759,
|
| 1913 |
+
"step": 1360
|
| 1914 |
+
},
|
| 1915 |
+
{
|
| 1916 |
+
"epoch": 1.8622100954979537,
|
| 1917 |
+
"grad_norm": 0.4886410778434008,
|
| 1918 |
+
"learning_rate": 7.0180851711496625e-06,
|
| 1919 |
+
"loss": 0.4666,
|
| 1920 |
+
"step": 1365
|
| 1921 |
+
},
|
| 1922 |
+
{
|
| 1923 |
+
"epoch": 1.869031377899045,
|
| 1924 |
+
"grad_norm": 0.5015465903206748,
|
| 1925 |
+
"learning_rate": 6.9474302002594e-06,
|
| 1926 |
+
"loss": 0.4757,
|
| 1927 |
+
"step": 1370
|
| 1928 |
+
},
|
| 1929 |
+
{
|
| 1930 |
+
"epoch": 1.8758526603001364,
|
| 1931 |
+
"grad_norm": 0.5299208502083286,
|
| 1932 |
+
"learning_rate": 6.876953477727476e-06,
|
| 1933 |
+
"loss": 0.4811,
|
| 1934 |
+
"step": 1375
|
| 1935 |
+
},
|
| 1936 |
+
{
|
| 1937 |
+
"epoch": 1.8826739427012278,
|
| 1938 |
+
"grad_norm": 0.5042038155237952,
|
| 1939 |
+
"learning_rate": 6.806658988353873e-06,
|
| 1940 |
+
"loss": 0.4744,
|
| 1941 |
+
"step": 1380
|
| 1942 |
+
},
|
| 1943 |
+
{
|
| 1944 |
+
"epoch": 1.8894952251023192,
|
| 1945 |
+
"grad_norm": 0.5112099000483086,
|
| 1946 |
+
"learning_rate": 6.736550706634994e-06,
|
| 1947 |
+
"loss": 0.4758,
|
| 1948 |
+
"step": 1385
|
| 1949 |
+
},
|
| 1950 |
+
{
|
| 1951 |
+
"epoch": 1.8963165075034105,
|
| 1952 |
+
"grad_norm": 0.4905834706956801,
|
| 1953 |
+
"learning_rate": 6.666632596538943e-06,
|
| 1954 |
+
"loss": 0.4661,
|
| 1955 |
+
"step": 1390
|
| 1956 |
+
},
|
| 1957 |
+
{
|
| 1958 |
+
"epoch": 1.9031377899045019,
|
| 1959 |
+
"grad_norm": 0.5212386889650834,
|
| 1960 |
+
"learning_rate": 6.5969086112813914e-06,
|
| 1961 |
+
"loss": 0.48,
|
| 1962 |
+
"step": 1395
|
| 1963 |
+
},
|
| 1964 |
+
{
|
| 1965 |
+
"epoch": 1.9099590723055935,
|
| 1966 |
+
"grad_norm": 0.5123640864018402,
|
| 1967 |
+
"learning_rate": 6.527382693102068e-06,
|
| 1968 |
+
"loss": 0.47,
|
| 1969 |
+
"step": 1400
|
| 1970 |
+
},
|
| 1971 |
+
{
|
| 1972 |
+
"epoch": 1.9167803547066848,
|
| 1973 |
+
"grad_norm": 0.4981927898415894,
|
| 1974 |
+
"learning_rate": 6.458058773041857e-06,
|
| 1975 |
+
"loss": 0.481,
|
| 1976 |
+
"step": 1405
|
| 1977 |
+
},
|
| 1978 |
+
{
|
| 1979 |
+
"epoch": 1.9236016371077762,
|
| 1980 |
+
"grad_norm": 0.5146201615715856,
|
| 1981 |
+
"learning_rate": 6.38894077072054e-06,
|
| 1982 |
+
"loss": 0.4763,
|
| 1983 |
+
"step": 1410
|
| 1984 |
+
},
|
| 1985 |
+
{
|
| 1986 |
+
"epoch": 1.9304229195088678,
|
| 1987 |
+
"grad_norm": 0.5059290660714733,
|
| 1988 |
+
"learning_rate": 6.320032594115169e-06,
|
| 1989 |
+
"loss": 0.4612,
|
| 1990 |
+
"step": 1415
|
| 1991 |
+
},
|
| 1992 |
+
{
|
| 1993 |
+
"epoch": 1.9372442019099592,
|
| 1994 |
+
"grad_norm": 0.5154624574991551,
|
| 1995 |
+
"learning_rate": 6.251338139339119e-06,
|
| 1996 |
+
"loss": 0.4779,
|
| 1997 |
+
"step": 1420
|
| 1998 |
+
},
|
| 1999 |
+
{
|
| 2000 |
+
"epoch": 1.9440654843110505,
|
| 2001 |
+
"grad_norm": 0.520065682019996,
|
| 2002 |
+
"learning_rate": 6.182861290421796e-06,
|
| 2003 |
+
"loss": 0.4758,
|
| 2004 |
+
"step": 1425
|
| 2005 |
+
},
|
| 2006 |
+
{
|
| 2007 |
+
"epoch": 1.950886766712142,
|
| 2008 |
+
"grad_norm": 0.5041820103599076,
|
| 2009 |
+
"learning_rate": 6.114605919089017e-06,
|
| 2010 |
+
"loss": 0.4771,
|
| 2011 |
+
"step": 1430
|
| 2012 |
+
},
|
| 2013 |
+
{
|
| 2014 |
+
"epoch": 1.9577080491132333,
|
| 2015 |
+
"grad_norm": 0.5103932850618732,
|
| 2016 |
+
"learning_rate": 6.0465758845441204e-06,
|
| 2017 |
+
"loss": 0.4767,
|
| 2018 |
+
"step": 1435
|
| 2019 |
+
},
|
| 2020 |
+
{
|
| 2021 |
+
"epoch": 1.9645293315143246,
|
| 2022 |
+
"grad_norm": 0.4939939604899659,
|
| 2023 |
+
"learning_rate": 5.978775033249754e-06,
|
| 2024 |
+
"loss": 0.4745,
|
| 2025 |
+
"step": 1440
|
| 2026 |
+
},
|
| 2027 |
+
{
|
| 2028 |
+
"epoch": 1.971350613915416,
|
| 2029 |
+
"grad_norm": 0.5134387665081097,
|
| 2030 |
+
"learning_rate": 5.911207198710388e-06,
|
| 2031 |
+
"loss": 0.4654,
|
| 2032 |
+
"step": 1445
|
| 2033 |
+
},
|
| 2034 |
+
{
|
| 2035 |
+
"epoch": 1.9781718963165074,
|
| 2036 |
+
"grad_norm": 0.5268322175857719,
|
| 2037 |
+
"learning_rate": 5.843876201255586e-06,
|
| 2038 |
+
"loss": 0.4756,
|
| 2039 |
+
"step": 1450
|
| 2040 |
+
},
|
| 2041 |
+
{
|
| 2042 |
+
"epoch": 1.984993178717599,
|
| 2043 |
+
"grad_norm": 0.5317341013740563,
|
| 2044 |
+
"learning_rate": 5.776785847823971e-06,
|
| 2045 |
+
"loss": 0.4829,
|
| 2046 |
+
"step": 1455
|
| 2047 |
+
},
|
| 2048 |
+
{
|
| 2049 |
+
"epoch": 1.9918144611186903,
|
| 2050 |
+
"grad_norm": 0.5348011864192631,
|
| 2051 |
+
"learning_rate": 5.709939931748017e-06,
|
| 2052 |
+
"loss": 0.4777,
|
| 2053 |
+
"step": 1460
|
| 2054 |
+
},
|
| 2055 |
+
{
|
| 2056 |
+
"epoch": 1.9986357435197817,
|
| 2057 |
+
"grad_norm": 0.48497212839055176,
|
| 2058 |
+
"learning_rate": 5.643342232539524e-06,
|
| 2059 |
+
"loss": 0.4675,
|
| 2060 |
+
"step": 1465
|
| 2061 |
+
},
|
| 2062 |
+
{
|
| 2063 |
+
"epoch": 2.0054570259208733,
|
| 2064 |
+
"grad_norm": 0.5048513009902976,
|
| 2065 |
+
"learning_rate": 5.57699651567597e-06,
|
| 2066 |
+
"loss": 0.4293,
|
| 2067 |
+
"step": 1470
|
| 2068 |
+
},
|
| 2069 |
+
{
|
| 2070 |
+
"epoch": 2.0122783083219646,
|
| 2071 |
+
"grad_norm": 0.5741103214956879,
|
| 2072 |
+
"learning_rate": 5.510906532387582e-06,
|
| 2073 |
+
"loss": 0.4209,
|
| 2074 |
+
"step": 1475
|
| 2075 |
+
},
|
| 2076 |
+
{
|
| 2077 |
+
"epoch": 2.019099590723056,
|
| 2078 |
+
"grad_norm": 0.5130214085529198,
|
| 2079 |
+
"learning_rate": 5.445076019445228e-06,
|
| 2080 |
+
"loss": 0.4209,
|
| 2081 |
+
"step": 1480
|
| 2082 |
+
},
|
| 2083 |
+
{
|
| 2084 |
+
"epoch": 2.0259208731241474,
|
| 2085 |
+
"grad_norm": 0.520457444842433,
|
| 2086 |
+
"learning_rate": 5.379508698949177e-06,
|
| 2087 |
+
"loss": 0.4239,
|
| 2088 |
+
"step": 1485
|
| 2089 |
+
},
|
| 2090 |
+
{
|
| 2091 |
+
"epoch": 2.0327421555252387,
|
| 2092 |
+
"grad_norm": 0.5127234405027133,
|
| 2093 |
+
"learning_rate": 5.314208278118605e-06,
|
| 2094 |
+
"loss": 0.4297,
|
| 2095 |
+
"step": 1490
|
| 2096 |
+
},
|
| 2097 |
+
{
|
| 2098 |
+
"epoch": 2.03956343792633,
|
| 2099 |
+
"grad_norm": 0.519641634043921,
|
| 2100 |
+
"learning_rate": 5.249178449082015e-06,
|
| 2101 |
+
"loss": 0.4172,
|
| 2102 |
+
"step": 1495
|
| 2103 |
+
},
|
| 2104 |
+
{
|
| 2105 |
+
"epoch": 2.0463847203274215,
|
| 2106 |
+
"grad_norm": 0.49773115879028945,
|
| 2107 |
+
"learning_rate": 5.184422888668473e-06,
|
| 2108 |
+
"loss": 0.4082,
|
| 2109 |
+
"step": 1500
|
| 2110 |
+
},
|
| 2111 |
+
{
|
| 2112 |
+
"epoch": 2.053206002728513,
|
| 2113 |
+
"grad_norm": 0.4994269378088386,
|
| 2114 |
+
"learning_rate": 5.119945258199712e-06,
|
| 2115 |
+
"loss": 0.4201,
|
| 2116 |
+
"step": 1505
|
| 2117 |
+
},
|
| 2118 |
+
{
|
| 2119 |
+
"epoch": 2.060027285129604,
|
| 2120 |
+
"grad_norm": 0.5102610726202969,
|
| 2121 |
+
"learning_rate": 5.055749203283138e-06,
|
| 2122 |
+
"loss": 0.4184,
|
| 2123 |
+
"step": 1510
|
| 2124 |
+
},
|
| 2125 |
+
{
|
| 2126 |
+
"epoch": 2.0668485675306956,
|
| 2127 |
+
"grad_norm": 0.5179420279961003,
|
| 2128 |
+
"learning_rate": 4.991838353605678e-06,
|
| 2129 |
+
"loss": 0.4291,
|
| 2130 |
+
"step": 1515
|
| 2131 |
+
},
|
| 2132 |
+
{
|
| 2133 |
+
"epoch": 2.0736698499317874,
|
| 2134 |
+
"grad_norm": 0.5107427875348688,
|
| 2135 |
+
"learning_rate": 4.928216322728564e-06,
|
| 2136 |
+
"loss": 0.4148,
|
| 2137 |
+
"step": 1520
|
| 2138 |
+
},
|
| 2139 |
+
{
|
| 2140 |
+
"epoch": 2.0804911323328787,
|
| 2141 |
+
"grad_norm": 0.5416051556874933,
|
| 2142 |
+
"learning_rate": 4.864886707883039e-06,
|
| 2143 |
+
"loss": 0.4241,
|
| 2144 |
+
"step": 1525
|
| 2145 |
+
},
|
| 2146 |
+
{
|
| 2147 |
+
"epoch": 2.08731241473397,
|
| 2148 |
+
"grad_norm": 0.5165355592944862,
|
| 2149 |
+
"learning_rate": 4.8018530897669495e-06,
|
| 2150 |
+
"loss": 0.43,
|
| 2151 |
+
"step": 1530
|
| 2152 |
+
},
|
| 2153 |
+
{
|
| 2154 |
+
"epoch": 2.0941336971350615,
|
| 2155 |
+
"grad_norm": 0.5321827607278135,
|
| 2156 |
+
"learning_rate": 4.739119032342281e-06,
|
| 2157 |
+
"loss": 0.4273,
|
| 2158 |
+
"step": 1535
|
| 2159 |
+
},
|
| 2160 |
+
{
|
| 2161 |
+
"epoch": 2.100954979536153,
|
| 2162 |
+
"grad_norm": 0.5323598331118466,
|
| 2163 |
+
"learning_rate": 4.676688082633677e-06,
|
| 2164 |
+
"loss": 0.425,
|
| 2165 |
+
"step": 1540
|
| 2166 |
+
},
|
| 2167 |
+
{
|
| 2168 |
+
"epoch": 2.107776261937244,
|
| 2169 |
+
"grad_norm": 0.505907638881496,
|
| 2170 |
+
"learning_rate": 4.6145637705278586e-06,
|
| 2171 |
+
"loss": 0.4219,
|
| 2172 |
+
"step": 1545
|
| 2173 |
+
},
|
| 2174 |
+
{
|
| 2175 |
+
"epoch": 2.1145975443383356,
|
| 2176 |
+
"grad_norm": 0.5077386983402395,
|
| 2177 |
+
"learning_rate": 4.5527496085740715e-06,
|
| 2178 |
+
"loss": 0.4296,
|
| 2179 |
+
"step": 1550
|
| 2180 |
+
},
|
| 2181 |
+
{
|
| 2182 |
+
"epoch": 2.121418826739427,
|
| 2183 |
+
"grad_norm": 0.5140822781413095,
|
| 2184 |
+
"learning_rate": 4.4912490917854526e-06,
|
| 2185 |
+
"loss": 0.4296,
|
| 2186 |
+
"step": 1555
|
| 2187 |
+
},
|
| 2188 |
+
{
|
| 2189 |
+
"epoch": 2.1282401091405183,
|
| 2190 |
+
"grad_norm": 0.5019011818755275,
|
| 2191 |
+
"learning_rate": 4.43006569744145e-06,
|
| 2192 |
+
"loss": 0.4122,
|
| 2193 |
+
"step": 1560
|
| 2194 |
+
},
|
| 2195 |
+
{
|
| 2196 |
+
"epoch": 2.1350613915416097,
|
| 2197 |
+
"grad_norm": 0.5281323996139589,
|
| 2198 |
+
"learning_rate": 4.369202884891194e-06,
|
| 2199 |
+
"loss": 0.4216,
|
| 2200 |
+
"step": 1565
|
| 2201 |
+
},
|
| 2202 |
+
{
|
| 2203 |
+
"epoch": 2.141882673942701,
|
| 2204 |
+
"grad_norm": 0.5112203302750289,
|
| 2205 |
+
"learning_rate": 4.308664095357906e-06,
|
| 2206 |
+
"loss": 0.4287,
|
| 2207 |
+
"step": 1570
|
| 2208 |
+
},
|
| 2209 |
+
{
|
| 2210 |
+
"epoch": 2.148703956343793,
|
| 2211 |
+
"grad_norm": 0.5005308937211395,
|
| 2212 |
+
"learning_rate": 4.248452751744348e-06,
|
| 2213 |
+
"loss": 0.4191,
|
| 2214 |
+
"step": 1575
|
| 2215 |
+
},
|
| 2216 |
+
{
|
| 2217 |
+
"epoch": 2.155525238744884,
|
| 2218 |
+
"grad_norm": 0.5171516047636492,
|
| 2219 |
+
"learning_rate": 4.188572258439263e-06,
|
| 2220 |
+
"loss": 0.4246,
|
| 2221 |
+
"step": 1580
|
| 2222 |
+
},
|
| 2223 |
+
{
|
| 2224 |
+
"epoch": 2.1623465211459756,
|
| 2225 |
+
"grad_norm": 0.5060884195233146,
|
| 2226 |
+
"learning_rate": 4.129026001124905e-06,
|
| 2227 |
+
"loss": 0.4226,
|
| 2228 |
+
"step": 1585
|
| 2229 |
+
},
|
| 2230 |
+
{
|
| 2231 |
+
"epoch": 2.169167803547067,
|
| 2232 |
+
"grad_norm": 0.49964343776405634,
|
| 2233 |
+
"learning_rate": 4.069817346585614e-06,
|
| 2234 |
+
"loss": 0.4203,
|
| 2235 |
+
"step": 1590
|
| 2236 |
+
},
|
| 2237 |
+
{
|
| 2238 |
+
"epoch": 2.1759890859481583,
|
| 2239 |
+
"grad_norm": 0.503696770859411,
|
| 2240 |
+
"learning_rate": 4.010949642517433e-06,
|
| 2241 |
+
"loss": 0.4298,
|
| 2242 |
+
"step": 1595
|
| 2243 |
+
},
|
| 2244 |
+
{
|
| 2245 |
+
"epoch": 2.1828103683492497,
|
| 2246 |
+
"grad_norm": 0.49161182387090824,
|
| 2247 |
+
"learning_rate": 3.952426217338859e-06,
|
| 2248 |
+
"loss": 0.4301,
|
| 2249 |
+
"step": 1600
|
| 2250 |
+
},
|
| 2251 |
+
{
|
| 2252 |
+
"epoch": 2.189631650750341,
|
| 2253 |
+
"grad_norm": 0.5160224829314862,
|
| 2254 |
+
"learning_rate": 3.89425038000262e-06,
|
| 2255 |
+
"loss": 0.4152,
|
| 2256 |
+
"step": 1605
|
| 2257 |
+
},
|
| 2258 |
+
{
|
| 2259 |
+
"epoch": 2.1964529331514324,
|
| 2260 |
+
"grad_norm": 0.5197468302526228,
|
| 2261 |
+
"learning_rate": 3.836425419808615e-06,
|
| 2262 |
+
"loss": 0.4222,
|
| 2263 |
+
"step": 1610
|
| 2264 |
+
},
|
| 2265 |
+
{
|
| 2266 |
+
"epoch": 2.203274215552524,
|
| 2267 |
+
"grad_norm": 0.5256478132720807,
|
| 2268 |
+
"learning_rate": 3.7789546062179073e-06,
|
| 2269 |
+
"loss": 0.4294,
|
| 2270 |
+
"step": 1615
|
| 2271 |
+
},
|
| 2272 |
+
{
|
| 2273 |
+
"epoch": 2.210095497953615,
|
| 2274 |
+
"grad_norm": 0.49468837343517935,
|
| 2275 |
+
"learning_rate": 3.721841188667883e-06,
|
| 2276 |
+
"loss": 0.4288,
|
| 2277 |
+
"step": 1620
|
| 2278 |
+
},
|
| 2279 |
+
{
|
| 2280 |
+
"epoch": 2.2169167803547065,
|
| 2281 |
+
"grad_norm": 0.5288153592830379,
|
| 2282 |
+
"learning_rate": 3.66508839638853e-06,
|
| 2283 |
+
"loss": 0.4259,
|
| 2284 |
+
"step": 1625
|
| 2285 |
+
},
|
| 2286 |
+
{
|
| 2287 |
+
"epoch": 2.223738062755798,
|
| 2288 |
+
"grad_norm": 0.5197337908496411,
|
| 2289 |
+
"learning_rate": 3.608699438219835e-06,
|
| 2290 |
+
"loss": 0.4189,
|
| 2291 |
+
"step": 1630
|
| 2292 |
+
},
|
| 2293 |
+
{
|
| 2294 |
+
"epoch": 2.2305593451568897,
|
| 2295 |
+
"grad_norm": 0.503686422687,
|
| 2296 |
+
"learning_rate": 3.5526775024303743e-06,
|
| 2297 |
+
"loss": 0.4339,
|
| 2298 |
+
"step": 1635
|
| 2299 |
+
},
|
| 2300 |
+
{
|
| 2301 |
+
"epoch": 2.237380627557981,
|
| 2302 |
+
"grad_norm": 0.5056806299150596,
|
| 2303 |
+
"learning_rate": 3.4970257565370426e-06,
|
| 2304 |
+
"loss": 0.42,
|
| 2305 |
+
"step": 1640
|
| 2306 |
+
},
|
| 2307 |
+
{
|
| 2308 |
+
"epoch": 2.2442019099590724,
|
| 2309 |
+
"grad_norm": 0.5284748263602718,
|
| 2310 |
+
"learning_rate": 3.441747347125944e-06,
|
| 2311 |
+
"loss": 0.4239,
|
| 2312 |
+
"step": 1645
|
| 2313 |
+
},
|
| 2314 |
+
{
|
| 2315 |
+
"epoch": 2.251023192360164,
|
| 2316 |
+
"grad_norm": 0.5304486815572842,
|
| 2317 |
+
"learning_rate": 3.386845399674505e-06,
|
| 2318 |
+
"loss": 0.4283,
|
| 2319 |
+
"step": 1650
|
| 2320 |
+
},
|
| 2321 |
+
{
|
| 2322 |
+
"epoch": 2.257844474761255,
|
| 2323 |
+
"grad_norm": 0.5162041364746609,
|
| 2324 |
+
"learning_rate": 3.332323018374739e-06,
|
| 2325 |
+
"loss": 0.4231,
|
| 2326 |
+
"step": 1655
|
| 2327 |
+
},
|
| 2328 |
+
{
|
| 2329 |
+
"epoch": 2.2646657571623465,
|
| 2330 |
+
"grad_norm": 0.5172072565381528,
|
| 2331 |
+
"learning_rate": 3.278183285957741e-06,
|
| 2332 |
+
"loss": 0.4299,
|
| 2333 |
+
"step": 1660
|
| 2334 |
+
},
|
| 2335 |
+
{
|
| 2336 |
+
"epoch": 2.271487039563438,
|
| 2337 |
+
"grad_norm": 0.5070978563723317,
|
| 2338 |
+
"learning_rate": 3.2244292635193967e-06,
|
| 2339 |
+
"loss": 0.4161,
|
| 2340 |
+
"step": 1665
|
| 2341 |
+
},
|
| 2342 |
+
{
|
| 2343 |
+
"epoch": 2.2783083219645293,
|
| 2344 |
+
"grad_norm": 0.5025104999699348,
|
| 2345 |
+
"learning_rate": 3.1710639903472857e-06,
|
| 2346 |
+
"loss": 0.4191,
|
| 2347 |
+
"step": 1670
|
| 2348 |
+
},
|
| 2349 |
+
{
|
| 2350 |
+
"epoch": 2.2851296043656206,
|
| 2351 |
+
"grad_norm": 0.5301696910477306,
|
| 2352 |
+
"learning_rate": 3.1180904837488603e-06,
|
| 2353 |
+
"loss": 0.4269,
|
| 2354 |
+
"step": 1675
|
| 2355 |
+
},
|
| 2356 |
+
{
|
| 2357 |
+
"epoch": 2.291950886766712,
|
| 2358 |
+
"grad_norm": 0.5043851490911145,
|
| 2359 |
+
"learning_rate": 3.0655117388808225e-06,
|
| 2360 |
+
"loss": 0.4222,
|
| 2361 |
+
"step": 1680
|
| 2362 |
+
},
|
| 2363 |
+
{
|
| 2364 |
+
"epoch": 2.2987721691678034,
|
| 2365 |
+
"grad_norm": 0.5168822676176625,
|
| 2366 |
+
"learning_rate": 3.0133307285798013e-06,
|
| 2367 |
+
"loss": 0.4251,
|
| 2368 |
+
"step": 1685
|
| 2369 |
+
},
|
| 2370 |
+
{
|
| 2371 |
+
"epoch": 2.305593451568895,
|
| 2372 |
+
"grad_norm": 0.49344869094402655,
|
| 2373 |
+
"learning_rate": 2.961550403194247e-06,
|
| 2374 |
+
"loss": 0.4267,
|
| 2375 |
+
"step": 1690
|
| 2376 |
+
},
|
| 2377 |
+
{
|
| 2378 |
+
"epoch": 2.3124147339699865,
|
| 2379 |
+
"grad_norm": 0.4945480487576485,
|
| 2380 |
+
"learning_rate": 2.910173690417618e-06,
|
| 2381 |
+
"loss": 0.4198,
|
| 2382 |
+
"step": 1695
|
| 2383 |
+
},
|
| 2384 |
+
{
|
| 2385 |
+
"epoch": 2.319236016371078,
|
| 2386 |
+
"grad_norm": 0.4996549457910774,
|
| 2387 |
+
"learning_rate": 2.859203495122861e-06,
|
| 2388 |
+
"loss": 0.4172,
|
| 2389 |
+
"step": 1700
|
| 2390 |
+
},
|
| 2391 |
+
{
|
| 2392 |
+
"epoch": 2.3260572987721693,
|
| 2393 |
+
"grad_norm": 0.5080873281642481,
|
| 2394 |
+
"learning_rate": 2.8086426991981524e-06,
|
| 2395 |
+
"loss": 0.4341,
|
| 2396 |
+
"step": 1705
|
| 2397 |
+
},
|
| 2398 |
+
{
|
| 2399 |
+
"epoch": 2.3328785811732606,
|
| 2400 |
+
"grad_norm": 0.518725406601656,
|
| 2401 |
+
"learning_rate": 2.7584941613839577e-06,
|
| 2402 |
+
"loss": 0.4243,
|
| 2403 |
+
"step": 1710
|
| 2404 |
+
},
|
| 2405 |
+
{
|
| 2406 |
+
"epoch": 2.339699863574352,
|
| 2407 |
+
"grad_norm": 0.5005709253340304,
|
| 2408 |
+
"learning_rate": 2.708760717111409e-06,
|
| 2409 |
+
"loss": 0.4183,
|
| 2410 |
+
"step": 1715
|
| 2411 |
+
},
|
| 2412 |
+
{
|
| 2413 |
+
"epoch": 2.3465211459754434,
|
| 2414 |
+
"grad_norm": 0.5025661764368299,
|
| 2415 |
+
"learning_rate": 2.659445178341967e-06,
|
| 2416 |
+
"loss": 0.4124,
|
| 2417 |
+
"step": 1720
|
| 2418 |
+
},
|
| 2419 |
+
{
|
| 2420 |
+
"epoch": 2.3533424283765347,
|
| 2421 |
+
"grad_norm": 0.526802256910979,
|
| 2422 |
+
"learning_rate": 2.6105503334084543e-06,
|
| 2423 |
+
"loss": 0.4131,
|
| 2424 |
+
"step": 1725
|
| 2425 |
+
},
|
| 2426 |
+
{
|
| 2427 |
+
"epoch": 2.360163710777626,
|
| 2428 |
+
"grad_norm": 0.49232219642558783,
|
| 2429 |
+
"learning_rate": 2.5620789468573736e-06,
|
| 2430 |
+
"loss": 0.4189,
|
| 2431 |
+
"step": 1730
|
| 2432 |
+
},
|
| 2433 |
+
{
|
| 2434 |
+
"epoch": 2.3669849931787175,
|
| 2435 |
+
"grad_norm": 0.5031403656147391,
|
| 2436 |
+
"learning_rate": 2.51403375929263e-06,
|
| 2437 |
+
"loss": 0.4271,
|
| 2438 |
+
"step": 1735
|
| 2439 |
+
},
|
| 2440 |
+
{
|
| 2441 |
+
"epoch": 2.373806275579809,
|
| 2442 |
+
"grad_norm": 0.47932913781175096,
|
| 2443 |
+
"learning_rate": 2.4664174872205447e-06,
|
| 2444 |
+
"loss": 0.4131,
|
| 2445 |
+
"step": 1740
|
| 2446 |
+
},
|
| 2447 |
+
{
|
| 2448 |
+
"epoch": 2.3806275579809,
|
| 2449 |
+
"grad_norm": 0.5000820600467547,
|
| 2450 |
+
"learning_rate": 2.4192328228962844e-06,
|
| 2451 |
+
"loss": 0.4137,
|
| 2452 |
+
"step": 1745
|
| 2453 |
+
},
|
| 2454 |
+
{
|
| 2455 |
+
"epoch": 2.3874488403819916,
|
| 2456 |
+
"grad_norm": 0.5424591208082046,
|
| 2457 |
+
"learning_rate": 2.372482434171635e-06,
|
| 2458 |
+
"loss": 0.4261,
|
| 2459 |
+
"step": 1750
|
| 2460 |
+
},
|
| 2461 |
+
{
|
| 2462 |
+
"epoch": 2.3942701227830834,
|
| 2463 |
+
"grad_norm": 0.4861046037404662,
|
| 2464 |
+
"learning_rate": 2.326168964344147e-06,
|
| 2465 |
+
"loss": 0.4168,
|
| 2466 |
+
"step": 1755
|
| 2467 |
+
},
|
| 2468 |
+
{
|
| 2469 |
+
"epoch": 2.4010914051841747,
|
| 2470 |
+
"grad_norm": 0.496354816091883,
|
| 2471 |
+
"learning_rate": 2.2802950320076925e-06,
|
| 2472 |
+
"loss": 0.4276,
|
| 2473 |
+
"step": 1760
|
| 2474 |
+
},
|
| 2475 |
+
{
|
| 2476 |
+
"epoch": 2.407912687585266,
|
| 2477 |
+
"grad_norm": 0.5114949143831609,
|
| 2478 |
+
"learning_rate": 2.2348632309044124e-06,
|
| 2479 |
+
"loss": 0.421,
|
| 2480 |
+
"step": 1765
|
| 2481 |
+
},
|
| 2482 |
+
{
|
| 2483 |
+
"epoch": 2.4147339699863575,
|
| 2484 |
+
"grad_norm": 0.492463054273807,
|
| 2485 |
+
"learning_rate": 2.18987612977805e-06,
|
| 2486 |
+
"loss": 0.4191,
|
| 2487 |
+
"step": 1770
|
| 2488 |
+
},
|
| 2489 |
+
{
|
| 2490 |
+
"epoch": 2.421555252387449,
|
| 2491 |
+
"grad_norm": 0.5151725907315208,
|
| 2492 |
+
"learning_rate": 2.1453362722287322e-06,
|
| 2493 |
+
"loss": 0.4258,
|
| 2494 |
+
"step": 1775
|
| 2495 |
+
},
|
| 2496 |
+
{
|
| 2497 |
+
"epoch": 2.42837653478854,
|
| 2498 |
+
"grad_norm": 0.5089343428748886,
|
| 2499 |
+
"learning_rate": 2.1012461765691304e-06,
|
| 2500 |
+
"loss": 0.4233,
|
| 2501 |
+
"step": 1780
|
| 2502 |
+
},
|
| 2503 |
+
{
|
| 2504 |
+
"epoch": 2.4351978171896316,
|
| 2505 |
+
"grad_norm": 0.5093727780183989,
|
| 2506 |
+
"learning_rate": 2.057608335682089e-06,
|
| 2507 |
+
"loss": 0.4241,
|
| 2508 |
+
"step": 1785
|
| 2509 |
+
},
|
| 2510 |
+
{
|
| 2511 |
+
"epoch": 2.442019099590723,
|
| 2512 |
+
"grad_norm": 0.49745508628055146,
|
| 2513 |
+
"learning_rate": 2.014425216879672e-06,
|
| 2514 |
+
"loss": 0.4212,
|
| 2515 |
+
"step": 1790
|
| 2516 |
+
},
|
| 2517 |
+
{
|
| 2518 |
+
"epoch": 2.4488403819918143,
|
| 2519 |
+
"grad_norm": 0.487004125589352,
|
| 2520 |
+
"learning_rate": 1.9716992617636627e-06,
|
| 2521 |
+
"loss": 0.42,
|
| 2522 |
+
"step": 1795
|
| 2523 |
+
},
|
| 2524 |
+
{
|
| 2525 |
+
"epoch": 2.4556616643929057,
|
| 2526 |
+
"grad_norm": 0.4961490394906471,
|
| 2527 |
+
"learning_rate": 1.9294328860875033e-06,
|
| 2528 |
+
"loss": 0.4256,
|
| 2529 |
+
"step": 1800
|
| 2530 |
+
},
|
| 2531 |
+
{
|
| 2532 |
+
"epoch": 2.4624829467939975,
|
| 2533 |
+
"grad_norm": 0.47821507063944224,
|
| 2534 |
+
"learning_rate": 1.8876284796197221e-06,
|
| 2535 |
+
"loss": 0.4162,
|
| 2536 |
+
"step": 1805
|
| 2537 |
+
},
|
| 2538 |
+
{
|
| 2539 |
+
"epoch": 2.469304229195089,
|
| 2540 |
+
"grad_norm": 0.5163338399882206,
|
| 2541 |
+
"learning_rate": 1.8462884060087963e-06,
|
| 2542 |
+
"loss": 0.422,
|
| 2543 |
+
"step": 1810
|
| 2544 |
+
},
|
| 2545 |
+
{
|
| 2546 |
+
"epoch": 2.47612551159618,
|
| 2547 |
+
"grad_norm": 0.5295705164637108,
|
| 2548 |
+
"learning_rate": 1.8054150026495306e-06,
|
| 2549 |
+
"loss": 0.4142,
|
| 2550 |
+
"step": 1815
|
| 2551 |
+
},
|
| 2552 |
+
{
|
| 2553 |
+
"epoch": 2.4829467939972716,
|
| 2554 |
+
"grad_norm": 0.5009709028251212,
|
| 2555 |
+
"learning_rate": 1.7650105805508798e-06,
|
| 2556 |
+
"loss": 0.4268,
|
| 2557 |
+
"step": 1820
|
| 2558 |
+
},
|
| 2559 |
+
{
|
| 2560 |
+
"epoch": 2.489768076398363,
|
| 2561 |
+
"grad_norm": 0.4838767553323068,
|
| 2562 |
+
"learning_rate": 1.7250774242052967e-06,
|
| 2563 |
+
"loss": 0.4152,
|
| 2564 |
+
"step": 1825
|
| 2565 |
+
},
|
| 2566 |
+
{
|
| 2567 |
+
"epoch": 2.4965893587994543,
|
| 2568 |
+
"grad_norm": 0.49748189595154224,
|
| 2569 |
+
"learning_rate": 1.6856177914595588e-06,
|
| 2570 |
+
"loss": 0.4188,
|
| 2571 |
+
"step": 1830
|
| 2572 |
+
},
|
| 2573 |
+
{
|
| 2574 |
+
"epoch": 2.5034106412005457,
|
| 2575 |
+
"grad_norm": 0.5004689758885488,
|
| 2576 |
+
"learning_rate": 1.6466339133871056e-06,
|
| 2577 |
+
"loss": 0.4166,
|
| 2578 |
+
"step": 1835
|
| 2579 |
+
},
|
| 2580 |
+
{
|
| 2581 |
+
"epoch": 2.510231923601637,
|
| 2582 |
+
"grad_norm": 0.5040308226552292,
|
| 2583 |
+
"learning_rate": 1.6081279941619036e-06,
|
| 2584 |
+
"loss": 0.4279,
|
| 2585 |
+
"step": 1840
|
| 2586 |
+
},
|
| 2587 |
+
{
|
| 2588 |
+
"epoch": 2.5170532060027284,
|
| 2589 |
+
"grad_norm": 0.5041171513103451,
|
| 2590 |
+
"learning_rate": 1.570102210933806e-06,
|
| 2591 |
+
"loss": 0.4198,
|
| 2592 |
+
"step": 1845
|
| 2593 |
+
},
|
| 2594 |
+
{
|
| 2595 |
+
"epoch": 2.52387448840382,
|
| 2596 |
+
"grad_norm": 0.5422732550913443,
|
| 2597 |
+
"learning_rate": 1.5325587137054692e-06,
|
| 2598 |
+
"loss": 0.4255,
|
| 2599 |
+
"step": 1850
|
| 2600 |
+
},
|
| 2601 |
+
{
|
| 2602 |
+
"epoch": 2.530695770804911,
|
| 2603 |
+
"grad_norm": 0.5214024951095575,
|
| 2604 |
+
"learning_rate": 1.495499625210782e-06,
|
| 2605 |
+
"loss": 0.4363,
|
| 2606 |
+
"step": 1855
|
| 2607 |
+
},
|
| 2608 |
+
{
|
| 2609 |
+
"epoch": 2.5375170532060025,
|
| 2610 |
+
"grad_norm": 0.52314445884365,
|
| 2611 |
+
"learning_rate": 1.4589270407948413e-06,
|
| 2612 |
+
"loss": 0.4234,
|
| 2613 |
+
"step": 1860
|
| 2614 |
+
},
|
| 2615 |
+
{
|
| 2616 |
+
"epoch": 2.544338335607094,
|
| 2617 |
+
"grad_norm": 0.5140411799960605,
|
| 2618 |
+
"learning_rate": 1.4228430282954936e-06,
|
| 2619 |
+
"loss": 0.4251,
|
| 2620 |
+
"step": 1865
|
| 2621 |
+
},
|
| 2622 |
+
{
|
| 2623 |
+
"epoch": 2.5511596180081857,
|
| 2624 |
+
"grad_norm": 0.49968313162179895,
|
| 2625 |
+
"learning_rate": 1.3872496279264012e-06,
|
| 2626 |
+
"loss": 0.42,
|
| 2627 |
+
"step": 1870
|
| 2628 |
+
},
|
| 2629 |
+
{
|
| 2630 |
+
"epoch": 2.557980900409277,
|
| 2631 |
+
"grad_norm": 0.4952154436629377,
|
| 2632 |
+
"learning_rate": 1.352148852161704e-06,
|
| 2633 |
+
"loss": 0.4193,
|
| 2634 |
+
"step": 1875
|
| 2635 |
+
},
|
| 2636 |
+
{
|
| 2637 |
+
"epoch": 2.5648021828103684,
|
| 2638 |
+
"grad_norm": 0.5024039679399355,
|
| 2639 |
+
"learning_rate": 1.3175426856222196e-06,
|
| 2640 |
+
"loss": 0.4201,
|
| 2641 |
+
"step": 1880
|
| 2642 |
+
},
|
| 2643 |
+
{
|
| 2644 |
+
"epoch": 2.57162346521146,
|
| 2645 |
+
"grad_norm": 0.5090323431432741,
|
| 2646 |
+
"learning_rate": 1.2834330849632344e-06,
|
| 2647 |
+
"loss": 0.4248,
|
| 2648 |
+
"step": 1885
|
| 2649 |
+
},
|
| 2650 |
+
{
|
| 2651 |
+
"epoch": 2.578444747612551,
|
| 2652 |
+
"grad_norm": 0.5083201849990721,
|
| 2653 |
+
"learning_rate": 1.249821978763882e-06,
|
| 2654 |
+
"loss": 0.4192,
|
| 2655 |
+
"step": 1890
|
| 2656 |
+
},
|
| 2657 |
+
{
|
| 2658 |
+
"epoch": 2.5852660300136425,
|
| 2659 |
+
"grad_norm": 0.49117019077982144,
|
| 2660 |
+
"learning_rate": 1.2167112674180868e-06,
|
| 2661 |
+
"loss": 0.4172,
|
| 2662 |
+
"step": 1895
|
| 2663 |
+
},
|
| 2664 |
+
{
|
| 2665 |
+
"epoch": 2.592087312414734,
|
| 2666 |
+
"grad_norm": 0.4927717554184724,
|
| 2667 |
+
"learning_rate": 1.184102823027123e-06,
|
| 2668 |
+
"loss": 0.417,
|
| 2669 |
+
"step": 1900
|
| 2670 |
+
},
|
| 2671 |
+
{
|
| 2672 |
+
"epoch": 2.5989085948158253,
|
| 2673 |
+
"grad_norm": 0.5005358781417781,
|
| 2674 |
+
"learning_rate": 1.1519984892937682e-06,
|
| 2675 |
+
"loss": 0.4185,
|
| 2676 |
+
"step": 1905
|
| 2677 |
+
},
|
| 2678 |
+
{
|
| 2679 |
+
"epoch": 2.6057298772169166,
|
| 2680 |
+
"grad_norm": 0.5405574472133523,
|
| 2681 |
+
"learning_rate": 1.1204000814180418e-06,
|
| 2682 |
+
"loss": 0.4272,
|
| 2683 |
+
"step": 1910
|
| 2684 |
+
},
|
| 2685 |
+
{
|
| 2686 |
+
"epoch": 2.6125511596180084,
|
| 2687 |
+
"grad_norm": 0.49133740899149486,
|
| 2688 |
+
"learning_rate": 1.0893093859945979e-06,
|
| 2689 |
+
"loss": 0.4145,
|
| 2690 |
+
"step": 1915
|
| 2691 |
+
},
|
| 2692 |
+
{
|
| 2693 |
+
"epoch": 2.6193724420191,
|
| 2694 |
+
"grad_norm": 0.509067826909446,
|
| 2695 |
+
"learning_rate": 1.058728160911686e-06,
|
| 2696 |
+
"loss": 0.4145,
|
| 2697 |
+
"step": 1920
|
| 2698 |
+
},
|
| 2699 |
+
{
|
| 2700 |
+
"epoch": 2.626193724420191,
|
| 2701 |
+
"grad_norm": 0.5086329096510834,
|
| 2702 |
+
"learning_rate": 1.028658135251772e-06,
|
| 2703 |
+
"loss": 0.4318,
|
| 2704 |
+
"step": 1925
|
| 2705 |
+
},
|
| 2706 |
+
{
|
| 2707 |
+
"epoch": 2.6330150068212825,
|
| 2708 |
+
"grad_norm": 0.48990925278828223,
|
| 2709 |
+
"learning_rate": 9.99101009193777e-07,
|
| 2710 |
+
"loss": 0.4231,
|
| 2711 |
+
"step": 1930
|
| 2712 |
+
},
|
| 2713 |
+
{
|
| 2714 |
+
"epoch": 2.639836289222374,
|
| 2715 |
+
"grad_norm": 0.5132773338699153,
|
| 2716 |
+
"learning_rate": 9.70058453916936e-07,
|
| 2717 |
+
"loss": 0.4277,
|
| 2718 |
+
"step": 1935
|
| 2719 |
+
},
|
| 2720 |
+
{
|
| 2721 |
+
"epoch": 2.6466575716234653,
|
| 2722 |
+
"grad_norm": 0.49623523079302395,
|
| 2723 |
+
"learning_rate": 9.415321115063212e-07,
|
| 2724 |
+
"loss": 0.4265,
|
| 2725 |
+
"step": 1940
|
| 2726 |
+
},
|
| 2727 |
+
{
|
| 2728 |
+
"epoch": 2.6534788540245566,
|
| 2729 |
+
"grad_norm": 0.4997209001664598,
|
| 2730 |
+
"learning_rate": 9.135235948599877e-07,
|
| 2731 |
+
"loss": 0.4251,
|
| 2732 |
+
"step": 1945
|
| 2733 |
+
},
|
| 2734 |
+
{
|
| 2735 |
+
"epoch": 2.660300136425648,
|
| 2736 |
+
"grad_norm": 0.49789202327580734,
|
| 2737 |
+
"learning_rate": 8.860344875977853e-07,
|
| 2738 |
+
"loss": 0.4099,
|
| 2739 |
+
"step": 1950
|
| 2740 |
+
},
|
| 2741 |
+
{
|
| 2742 |
+
"epoch": 2.6671214188267394,
|
| 2743 |
+
"grad_norm": 0.49962306285337266,
|
| 2744 |
+
"learning_rate": 8.590663439718198e-07,
|
| 2745 |
+
"loss": 0.4283,
|
| 2746 |
+
"step": 1955
|
| 2747 |
+
},
|
| 2748 |
+
{
|
| 2749 |
+
"epoch": 2.6739427012278307,
|
| 2750 |
+
"grad_norm": 0.49059761628317505,
|
| 2751 |
+
"learning_rate": 8.326206887785666e-07,
|
| 2752 |
+
"loss": 0.4196,
|
| 2753 |
+
"step": 1960
|
| 2754 |
+
},
|
| 2755 |
+
{
|
| 2756 |
+
"epoch": 2.680763983628922,
|
| 2757 |
+
"grad_norm": 0.4878700198807422,
|
| 2758 |
+
"learning_rate": 8.066990172726674e-07,
|
| 2759 |
+
"loss": 0.4259,
|
| 2760 |
+
"step": 1965
|
| 2761 |
+
},
|
| 2762 |
+
{
|
| 2763 |
+
"epoch": 2.6875852660300135,
|
| 2764 |
+
"grad_norm": 0.4818193357568829,
|
| 2765 |
+
"learning_rate": 7.813027950823838e-07,
|
| 2766 |
+
"loss": 0.4229,
|
| 2767 |
+
"step": 1970
|
| 2768 |
+
},
|
| 2769 |
+
{
|
| 2770 |
+
"epoch": 2.694406548431105,
|
| 2771 |
+
"grad_norm": 0.4863471329457305,
|
| 2772 |
+
"learning_rate": 7.564334581267252e-07,
|
| 2773 |
+
"loss": 0.4169,
|
| 2774 |
+
"step": 1975
|
| 2775 |
+
},
|
| 2776 |
+
{
|
| 2777 |
+
"epoch": 2.701227830832196,
|
| 2778 |
+
"grad_norm": 0.49923983484265055,
|
| 2779 |
+
"learning_rate": 7.320924125342713e-07,
|
| 2780 |
+
"loss": 0.4187,
|
| 2781 |
+
"step": 1980
|
| 2782 |
+
},
|
| 2783 |
+
{
|
| 2784 |
+
"epoch": 2.708049113233288,
|
| 2785 |
+
"grad_norm": 0.5018790036089281,
|
| 2786 |
+
"learning_rate": 7.082810345636574e-07,
|
| 2787 |
+
"loss": 0.4207,
|
| 2788 |
+
"step": 1985
|
| 2789 |
+
},
|
| 2790 |
+
{
|
| 2791 |
+
"epoch": 2.7148703956343794,
|
| 2792 |
+
"grad_norm": 0.500405512783932,
|
| 2793 |
+
"learning_rate": 6.850006705257689e-07,
|
| 2794 |
+
"loss": 0.4247,
|
| 2795 |
+
"step": 1990
|
| 2796 |
+
},
|
| 2797 |
+
{
|
| 2798 |
+
"epoch": 2.7216916780354707,
|
| 2799 |
+
"grad_norm": 0.5025182540120037,
|
| 2800 |
+
"learning_rate": 6.622526367076129e-07,
|
| 2801 |
+
"loss": 0.4276,
|
| 2802 |
+
"step": 1995
|
| 2803 |
+
},
|
| 2804 |
+
{
|
| 2805 |
+
"epoch": 2.728512960436562,
|
| 2806 |
+
"grad_norm": 0.5026425276086048,
|
| 2807 |
+
"learning_rate": 6.400382192979011e-07,
|
| 2808 |
+
"loss": 0.4247,
|
| 2809 |
+
"step": 2000
|
| 2810 |
+
},
|
| 2811 |
+
{
|
| 2812 |
+
"epoch": 2.7353342428376535,
|
| 2813 |
+
"grad_norm": 0.5050638447625582,
|
| 2814 |
+
"learning_rate": 6.183586743143195e-07,
|
| 2815 |
+
"loss": 0.4317,
|
| 2816 |
+
"step": 2005
|
| 2817 |
+
},
|
| 2818 |
+
{
|
| 2819 |
+
"epoch": 2.742155525238745,
|
| 2820 |
+
"grad_norm": 0.49008521019733564,
|
| 2821 |
+
"learning_rate": 5.972152275325236e-07,
|
| 2822 |
+
"loss": 0.4152,
|
| 2823 |
+
"step": 2010
|
| 2824 |
+
},
|
| 2825 |
+
{
|
| 2826 |
+
"epoch": 2.748976807639836,
|
| 2827 |
+
"grad_norm": 0.4845822249557805,
|
| 2828 |
+
"learning_rate": 5.766090744168215e-07,
|
| 2829 |
+
"loss": 0.4097,
|
| 2830 |
+
"step": 2015
|
| 2831 |
+
},
|
| 2832 |
+
{
|
| 2833 |
+
"epoch": 2.7557980900409276,
|
| 2834 |
+
"grad_norm": 0.49381205885998286,
|
| 2835 |
+
"learning_rate": 5.565413800525883e-07,
|
| 2836 |
+
"loss": 0.428,
|
| 2837 |
+
"step": 2020
|
| 2838 |
+
},
|
| 2839 |
+
{
|
| 2840 |
+
"epoch": 2.762619372442019,
|
| 2841 |
+
"grad_norm": 0.4928613780812328,
|
| 2842 |
+
"learning_rate": 5.370132790803862e-07,
|
| 2843 |
+
"loss": 0.4258,
|
| 2844 |
+
"step": 2025
|
| 2845 |
+
},
|
| 2846 |
+
{
|
| 2847 |
+
"epoch": 2.7694406548431107,
|
| 2848 |
+
"grad_norm": 0.5121246868411271,
|
| 2849 |
+
"learning_rate": 5.180258756318177e-07,
|
| 2850 |
+
"loss": 0.4312,
|
| 2851 |
+
"step": 2030
|
| 2852 |
+
},
|
| 2853 |
+
{
|
| 2854 |
+
"epoch": 2.776261937244202,
|
| 2855 |
+
"grad_norm": 0.5054202294126638,
|
| 2856 |
+
"learning_rate": 4.995802432670913e-07,
|
| 2857 |
+
"loss": 0.4228,
|
| 2858 |
+
"step": 2035
|
| 2859 |
+
},
|
| 2860 |
+
{
|
| 2861 |
+
"epoch": 2.7830832196452935,
|
| 2862 |
+
"grad_norm": 0.5032311759948168,
|
| 2863 |
+
"learning_rate": 4.816774249143254e-07,
|
| 2864 |
+
"loss": 0.4224,
|
| 2865 |
+
"step": 2040
|
| 2866 |
+
},
|
| 2867 |
+
{
|
| 2868 |
+
"epoch": 2.789904502046385,
|
| 2869 |
+
"grad_norm": 0.4892276973817304,
|
| 2870 |
+
"learning_rate": 4.643184328105774e-07,
|
| 2871 |
+
"loss": 0.4172,
|
| 2872 |
+
"step": 2045
|
| 2873 |
+
},
|
| 2874 |
+
{
|
| 2875 |
+
"epoch": 2.796725784447476,
|
| 2876 |
+
"grad_norm": 0.5331616596228133,
|
| 2877 |
+
"learning_rate": 4.4750424844461485e-07,
|
| 2878 |
+
"loss": 0.4282,
|
| 2879 |
+
"step": 2050
|
| 2880 |
+
},
|
| 2881 |
+
{
|
| 2882 |
+
"epoch": 2.8035470668485676,
|
| 2883 |
+
"grad_norm": 0.48337446719708316,
|
| 2884 |
+
"learning_rate": 4.3123582250141833e-07,
|
| 2885 |
+
"loss": 0.4324,
|
| 2886 |
+
"step": 2055
|
| 2887 |
+
},
|
| 2888 |
+
{
|
| 2889 |
+
"epoch": 2.810368349249659,
|
| 2890 |
+
"grad_norm": 0.5113503747508404,
|
| 2891 |
+
"learning_rate": 4.1551407480843143e-07,
|
| 2892 |
+
"loss": 0.4145,
|
| 2893 |
+
"step": 2060
|
| 2894 |
+
},
|
| 2895 |
+
{
|
| 2896 |
+
"epoch": 2.8171896316507503,
|
| 2897 |
+
"grad_norm": 0.5152840097770183,
|
| 2898 |
+
"learning_rate": 4.0033989428354903e-07,
|
| 2899 |
+
"loss": 0.4187,
|
| 2900 |
+
"step": 2065
|
| 2901 |
+
},
|
| 2902 |
+
{
|
| 2903 |
+
"epoch": 2.8240109140518417,
|
| 2904 |
+
"grad_norm": 0.4978525864335864,
|
| 2905 |
+
"learning_rate": 3.857141388848656e-07,
|
| 2906 |
+
"loss": 0.4259,
|
| 2907 |
+
"step": 2070
|
| 2908 |
+
},
|
| 2909 |
+
{
|
| 2910 |
+
"epoch": 2.830832196452933,
|
| 2911 |
+
"grad_norm": 0.4928747536539546,
|
| 2912 |
+
"learning_rate": 3.716376355621544e-07,
|
| 2913 |
+
"loss": 0.4137,
|
| 2914 |
+
"step": 2075
|
| 2915 |
+
},
|
| 2916 |
+
{
|
| 2917 |
+
"epoch": 2.8376534788540244,
|
| 2918 |
+
"grad_norm": 0.4909595295192369,
|
| 2919 |
+
"learning_rate": 3.581111802101221e-07,
|
| 2920 |
+
"loss": 0.4209,
|
| 2921 |
+
"step": 2080
|
| 2922 |
+
},
|
| 2923 |
+
{
|
| 2924 |
+
"epoch": 2.844474761255116,
|
| 2925 |
+
"grad_norm": 0.47984589511153064,
|
| 2926 |
+
"learning_rate": 3.451355376233975e-07,
|
| 2927 |
+
"loss": 0.4218,
|
| 2928 |
+
"step": 2085
|
| 2929 |
+
},
|
| 2930 |
+
{
|
| 2931 |
+
"epoch": 2.851296043656207,
|
| 2932 |
+
"grad_norm": 0.5105759387938567,
|
| 2933 |
+
"learning_rate": 3.327114414533018e-07,
|
| 2934 |
+
"loss": 0.4218,
|
| 2935 |
+
"step": 2090
|
| 2936 |
+
},
|
| 2937 |
+
{
|
| 2938 |
+
"epoch": 2.8581173260572985,
|
| 2939 |
+
"grad_norm": 0.49939209059879885,
|
| 2940 |
+
"learning_rate": 3.2083959416635723e-07,
|
| 2941 |
+
"loss": 0.4245,
|
| 2942 |
+
"step": 2095
|
| 2943 |
+
},
|
| 2944 |
+
{
|
| 2945 |
+
"epoch": 2.8649386084583903,
|
| 2946 |
+
"grad_norm": 0.47798891953751205,
|
| 2947 |
+
"learning_rate": 3.095206670045719e-07,
|
| 2948 |
+
"loss": 0.4231,
|
| 2949 |
+
"step": 2100
|
| 2950 |
+
},
|
| 2951 |
+
{
|
| 2952 |
+
"epoch": 2.8717598908594817,
|
| 2953 |
+
"grad_norm": 0.4945209972567527,
|
| 2954 |
+
"learning_rate": 2.9875529994749423e-07,
|
| 2955 |
+
"loss": 0.4266,
|
| 2956 |
+
"step": 2105
|
| 2957 |
+
},
|
| 2958 |
+
{
|
| 2959 |
+
"epoch": 2.878581173260573,
|
| 2960 |
+
"grad_norm": 0.4988874560151567,
|
| 2961 |
+
"learning_rate": 2.885441016760146e-07,
|
| 2962 |
+
"loss": 0.4231,
|
| 2963 |
+
"step": 2110
|
| 2964 |
+
},
|
| 2965 |
+
{
|
| 2966 |
+
"epoch": 2.8854024556616644,
|
| 2967 |
+
"grad_norm": 0.4911745856432128,
|
| 2968 |
+
"learning_rate": 2.788876495379644e-07,
|
| 2969 |
+
"loss": 0.416,
|
| 2970 |
+
"step": 2115
|
| 2971 |
+
},
|
| 2972 |
+
{
|
| 2973 |
+
"epoch": 2.892223738062756,
|
| 2974 |
+
"grad_norm": 0.48889972081861915,
|
| 2975 |
+
"learning_rate": 2.697864895154621e-07,
|
| 2976 |
+
"loss": 0.4194,
|
| 2977 |
+
"step": 2120
|
| 2978 |
+
},
|
| 2979 |
+
{
|
| 2980 |
+
"epoch": 2.899045020463847,
|
| 2981 |
+
"grad_norm": 0.4971330108179286,
|
| 2982 |
+
"learning_rate": 2.6124113619404796e-07,
|
| 2983 |
+
"loss": 0.4199,
|
| 2984 |
+
"step": 2125
|
| 2985 |
+
},
|
| 2986 |
+
{
|
| 2987 |
+
"epoch": 2.9058663028649385,
|
| 2988 |
+
"grad_norm": 0.48260941084833,
|
| 2989 |
+
"learning_rate": 2.532520727335875e-07,
|
| 2990 |
+
"loss": 0.4223,
|
| 2991 |
+
"step": 2130
|
| 2992 |
+
},
|
| 2993 |
+
{
|
| 2994 |
+
"epoch": 2.91268758526603,
|
| 2995 |
+
"grad_norm": 0.5219836641359544,
|
| 2996 |
+
"learning_rate": 2.4581975084095385e-07,
|
| 2997 |
+
"loss": 0.4236,
|
| 2998 |
+
"step": 2135
|
| 2999 |
+
},
|
| 3000 |
+
{
|
| 3001 |
+
"epoch": 2.9195088676671213,
|
| 3002 |
+
"grad_norm": 0.4823945964798486,
|
| 3003 |
+
"learning_rate": 2.3894459074448735e-07,
|
| 3004 |
+
"loss": 0.4276,
|
| 3005 |
+
"step": 2140
|
| 3006 |
+
},
|
| 3007 |
+
{
|
| 3008 |
+
"epoch": 2.926330150068213,
|
| 3009 |
+
"grad_norm": 0.48925917113417233,
|
| 3010 |
+
"learning_rate": 2.3262698117023728e-07,
|
| 3011 |
+
"loss": 0.4147,
|
| 3012 |
+
"step": 2145
|
| 3013 |
+
},
|
| 3014 |
+
{
|
| 3015 |
+
"epoch": 2.9331514324693044,
|
| 3016 |
+
"grad_norm": 0.5007654215500961,
|
| 3017 |
+
"learning_rate": 2.26867279319979e-07,
|
| 3018 |
+
"loss": 0.4307,
|
| 3019 |
+
"step": 2150
|
| 3020 |
+
},
|
| 3021 |
+
{
|
| 3022 |
+
"epoch": 2.939972714870396,
|
| 3023 |
+
"grad_norm": 0.5009786173466161,
|
| 3024 |
+
"learning_rate": 2.2166581085102458e-07,
|
| 3025 |
+
"loss": 0.4203,
|
| 3026 |
+
"step": 2155
|
| 3027 |
+
},
|
| 3028 |
+
{
|
| 3029 |
+
"epoch": 2.946793997271487,
|
| 3030 |
+
"grad_norm": 0.4791013138028541,
|
| 3031 |
+
"learning_rate": 2.170228698578013e-07,
|
| 3032 |
+
"loss": 0.4207,
|
| 3033 |
+
"step": 2160
|
| 3034 |
+
},
|
| 3035 |
+
{
|
| 3036 |
+
"epoch": 2.9536152796725785,
|
| 3037 |
+
"grad_norm": 0.48997170955684427,
|
| 3038 |
+
"learning_rate": 2.1293871885523088e-07,
|
| 3039 |
+
"loss": 0.4174,
|
| 3040 |
+
"step": 2165
|
| 3041 |
+
},
|
| 3042 |
+
{
|
| 3043 |
+
"epoch": 2.96043656207367,
|
| 3044 |
+
"grad_norm": 0.48195875107231834,
|
| 3045 |
+
"learning_rate": 2.0941358876388138e-07,
|
| 3046 |
+
"loss": 0.4194,
|
| 3047 |
+
"step": 2170
|
| 3048 |
+
},
|
| 3049 |
+
{
|
| 3050 |
+
"epoch": 2.9672578444747613,
|
| 3051 |
+
"grad_norm": 0.4938777138358861,
|
| 3052 |
+
"learning_rate": 2.06447678896913e-07,
|
| 3053 |
+
"loss": 0.4241,
|
| 3054 |
+
"step": 2175
|
| 3055 |
+
},
|
| 3056 |
+
{
|
| 3057 |
+
"epoch": 2.9740791268758526,
|
| 3058 |
+
"grad_norm": 0.4779185403122718,
|
| 3059 |
+
"learning_rate": 2.0404115694881084e-07,
|
| 3060 |
+
"loss": 0.4178,
|
| 3061 |
+
"step": 2180
|
| 3062 |
+
},
|
| 3063 |
+
{
|
| 3064 |
+
"epoch": 2.980900409276944,
|
| 3065 |
+
"grad_norm": 0.48454827866065714,
|
| 3066 |
+
"learning_rate": 2.0219415898589985e-07,
|
| 3067 |
+
"loss": 0.4162,
|
| 3068 |
+
"step": 2185
|
| 3069 |
+
},
|
| 3070 |
+
{
|
| 3071 |
+
"epoch": 2.9877216916780354,
|
| 3072 |
+
"grad_norm": 0.4877667234275044,
|
| 3073 |
+
"learning_rate": 2.009067894386505e-07,
|
| 3074 |
+
"loss": 0.4169,
|
| 3075 |
+
"step": 2190
|
| 3076 |
+
},
|
| 3077 |
+
{
|
| 3078 |
+
"epoch": 2.9945429740791267,
|
| 3079 |
+
"grad_norm": 0.4921925700400261,
|
| 3080 |
+
"learning_rate": 2.001791210957813e-07,
|
| 3081 |
+
"loss": 0.4192,
|
| 3082 |
+
"step": 2195
|
| 3083 |
+
},
|
| 3084 |
+
{
|
| 3085 |
+
"epoch": 3.0,
|
| 3086 |
+
"step": 2199,
|
| 3087 |
+
"total_flos": 250577921507328.0,
|
| 3088 |
+
"train_loss": 0.49602713585984115,
|
| 3089 |
+
"train_runtime": 3019.3082,
|
| 3090 |
+
"train_samples_per_second": 93.134,
|
| 3091 |
+
"train_steps_per_second": 0.728
|
| 3092 |
}
|
| 3093 |
],
|
| 3094 |
"logging_steps": 5,
|
| 3095 |
+
"max_steps": 2199,
|
| 3096 |
"num_input_tokens_seen": 0,
|
| 3097 |
+
"num_train_epochs": 3,
|
| 3098 |
"save_steps": 100,
|
| 3099 |
"stateful_callbacks": {
|
| 3100 |
"TrainerControl": {
|
|
|
|
| 3108 |
"attributes": {}
|
| 3109 |
}
|
| 3110 |
},
|
| 3111 |
+
"total_flos": 250577921507328.0,
|
| 3112 |
"train_batch_size": 16,
|
| 3113 |
"trial_name": null,
|
| 3114 |
"trial_params": null
|