Commit
·
e355cf0
1
Parent(s):
a5353af
huggingartists
Browse files- README.md +3 -3
- evaluation.txt +1 -1
- flax_model.msgpack +1 -1
- optimizer.pt +1 -1
- pytorch_model.bin +1 -1
- rng_state.pth +1 -1
- scheduler.pt +1 -1
- trainer_state.json +1191 -197
- training_args.bin +1 -1
README.md
CHANGED
|
@@ -45,15 +45,15 @@ from datasets import load_dataset
|
|
| 45 |
dataset = load_dataset("huggingartists/egor-letov")
|
| 46 |
```
|
| 47 |
|
| 48 |
-
[Explore the data](https://wandb.ai/huggingartists/huggingartists/runs/
|
| 49 |
|
| 50 |
## Training procedure
|
| 51 |
|
| 52 |
The model is based on a pre-trained [GPT-2](https://huggingface.co/gpt2) which is fine-tuned on Егор Летов (Egor Letov)'s lyrics.
|
| 53 |
|
| 54 |
-
Hyperparameters and metrics are recorded in the [W&B training run](https://wandb.ai/huggingartists/huggingartists/runs/
|
| 55 |
|
| 56 |
-
At the end of training, [the final model](https://wandb.ai/huggingartists/huggingartists/runs/
|
| 57 |
|
| 58 |
## How to use
|
| 59 |
|
|
|
|
| 45 |
dataset = load_dataset("huggingartists/egor-letov")
|
| 46 |
```
|
| 47 |
|
| 48 |
+
[Explore the data](https://wandb.ai/huggingartists/huggingartists/runs/1omrcegx/artifacts), which is tracked with [W&B artifacts](https://docs.wandb.com/artifacts) at every step of the pipeline.
|
| 49 |
|
| 50 |
## Training procedure
|
| 51 |
|
| 52 |
The model is based on a pre-trained [GPT-2](https://huggingface.co/gpt2) which is fine-tuned on Егор Летов (Egor Letov)'s lyrics.
|
| 53 |
|
| 54 |
+
Hyperparameters and metrics are recorded in the [W&B training run](https://wandb.ai/huggingartists/huggingartists/runs/3lk60u9h) for full transparency and reproducibility.
|
| 55 |
|
| 56 |
+
At the end of training, [the final model](https://wandb.ai/huggingartists/huggingartists/runs/3lk60u9h/artifacts) is logged and versioned.
|
| 57 |
|
| 58 |
## How to use
|
| 59 |
|
evaluation.txt
CHANGED
|
@@ -1 +1 @@
|
|
| 1 |
-
{"eval_loss": 1.
|
|
|
|
| 1 |
+
{"eval_loss": 1.4437962770462036, "eval_runtime": 5.737, "eval_samples_per_second": 42.008, "eval_steps_per_second": 5.404, "epoch": 12.0}
|
flax_model.msgpack
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 497764120
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:cd4287d13e5f03dddc3260cec0e0859042d58e9cbc920ca2aab49146c55a692d
|
| 3 |
size 497764120
|
optimizer.pt
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 995604017
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:fc7491d57edddd1344d39bab43ee9ee9d2e1bd19f9a6b5329c7a8b9e898023b3
|
| 3 |
size 995604017
|
pytorch_model.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 510403817
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:c6b20d2ab52b7dcc03710f4a70f0baf6084d166e84c464d12a918de1aec2b876
|
| 3 |
size 510403817
|
rng_state.pth
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 14503
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:1378376a42ff39fe4d328320073157ca77cc617aabb73778fdb86c5108bf91ca
|
| 3 |
size 14503
|
scheduler.pt
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 623
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:5ea2789b1fe1320c872e3caeb49da788995e1cf09ec8ae9708f4b5a577f7ff68
|
| 3 |
size 623
|
trainer_state.json
CHANGED
|
@@ -1,410 +1,1404 @@
|
|
| 1 |
{
|
| 2 |
-
"best_metric": 1.
|
| 3 |
-
"best_model_checkpoint": "output/egor-letov/checkpoint-
|
| 4 |
-
"epoch":
|
| 5 |
-
"global_step":
|
| 6 |
"is_hyper_param_search": false,
|
| 7 |
"is_local_process_zero": true,
|
| 8 |
"is_world_process_zero": true,
|
| 9 |
"log_history": [
|
| 10 |
{
|
| 11 |
"epoch": 0.03,
|
| 12 |
-
"learning_rate": 0.
|
| 13 |
-
"loss":
|
| 14 |
"step": 5
|
| 15 |
},
|
| 16 |
{
|
| 17 |
"epoch": 0.06,
|
| 18 |
-
"learning_rate": 0.
|
| 19 |
-
"loss":
|
| 20 |
"step": 10
|
| 21 |
},
|
| 22 |
{
|
| 23 |
"epoch": 0.09,
|
| 24 |
-
"learning_rate": 0.
|
| 25 |
-
"loss":
|
| 26 |
"step": 15
|
| 27 |
},
|
| 28 |
{
|
| 29 |
-
"epoch": 0.
|
| 30 |
-
"learning_rate": 0.
|
| 31 |
-
"loss":
|
| 32 |
"step": 20
|
| 33 |
},
|
| 34 |
{
|
| 35 |
-
"epoch": 0.
|
| 36 |
-
"learning_rate": 0.
|
| 37 |
-
"loss":
|
| 38 |
"step": 25
|
| 39 |
},
|
| 40 |
{
|
| 41 |
"epoch": 0.19,
|
| 42 |
-
"learning_rate": 0.
|
| 43 |
-
"loss": 1.
|
| 44 |
"step": 30
|
| 45 |
},
|
| 46 |
{
|
| 47 |
"epoch": 0.22,
|
| 48 |
-
"learning_rate": 0.
|
| 49 |
-
"loss": 1.
|
| 50 |
"step": 35
|
| 51 |
},
|
| 52 |
{
|
| 53 |
"epoch": 0.25,
|
| 54 |
-
"learning_rate": 0.
|
| 55 |
-
"loss": 1.
|
| 56 |
"step": 40
|
| 57 |
},
|
| 58 |
{
|
| 59 |
"epoch": 0.28,
|
| 60 |
-
"learning_rate": 0.
|
| 61 |
-
"loss": 1.
|
| 62 |
"step": 45
|
| 63 |
},
|
| 64 |
{
|
| 65 |
"epoch": 0.31,
|
| 66 |
-
"learning_rate": 0.
|
| 67 |
-
"loss": 1.
|
| 68 |
"step": 50
|
| 69 |
},
|
| 70 |
{
|
| 71 |
-
"epoch": 0.
|
| 72 |
-
"learning_rate": 0.
|
| 73 |
-
"loss": 1.
|
| 74 |
"step": 55
|
| 75 |
},
|
| 76 |
{
|
| 77 |
-
"epoch": 0.
|
| 78 |
-
"learning_rate": 9.
|
| 79 |
-
"loss": 1.
|
| 80 |
"step": 60
|
| 81 |
},
|
| 82 |
{
|
| 83 |
-
"epoch": 0.
|
| 84 |
-
"learning_rate": 8.
|
| 85 |
-
"loss": 1.
|
| 86 |
"step": 65
|
| 87 |
},
|
| 88 |
{
|
| 89 |
-
"epoch": 0.
|
| 90 |
-
"learning_rate": 8.
|
| 91 |
-
"loss": 1.
|
| 92 |
"step": 70
|
| 93 |
},
|
| 94 |
{
|
| 95 |
-
"epoch": 0.
|
| 96 |
-
"learning_rate": 7.
|
| 97 |
-
"loss": 1.
|
| 98 |
"step": 75
|
| 99 |
},
|
| 100 |
{
|
| 101 |
-
"epoch": 0.
|
| 102 |
-
"learning_rate": 6.
|
| 103 |
-
"loss": 1.
|
| 104 |
"step": 80
|
| 105 |
},
|
| 106 |
{
|
| 107 |
-
"epoch": 0.
|
| 108 |
-
"learning_rate": 6.
|
| 109 |
-
"loss": 1.
|
| 110 |
"step": 85
|
| 111 |
},
|
| 112 |
{
|
| 113 |
-
"epoch": 0.
|
| 114 |
-
"learning_rate": 5.
|
| 115 |
-
"loss": 1.
|
| 116 |
"step": 90
|
| 117 |
},
|
| 118 |
{
|
| 119 |
-
"epoch": 0.
|
| 120 |
-
"learning_rate":
|
| 121 |
-
"loss": 1.
|
| 122 |
"step": 95
|
| 123 |
},
|
| 124 |
{
|
| 125 |
-
"epoch": 0.
|
| 126 |
-
"learning_rate": 4.
|
| 127 |
-
"loss": 1.
|
| 128 |
"step": 100
|
| 129 |
},
|
| 130 |
{
|
| 131 |
-
"epoch": 0.
|
| 132 |
-
"learning_rate": 3.
|
| 133 |
-
"loss": 1.
|
| 134 |
"step": 105
|
| 135 |
},
|
| 136 |
{
|
| 137 |
-
"epoch": 0.
|
| 138 |
-
"learning_rate":
|
| 139 |
-
"loss": 1.
|
| 140 |
"step": 110
|
| 141 |
},
|
| 142 |
{
|
| 143 |
-
"epoch": 0.
|
| 144 |
-
"learning_rate": 2.
|
| 145 |
-
"loss": 1.
|
| 146 |
"step": 115
|
| 147 |
},
|
| 148 |
{
|
| 149 |
-
"epoch": 0.
|
| 150 |
-
"learning_rate":
|
| 151 |
-
"loss": 1.
|
| 152 |
"step": 120
|
| 153 |
},
|
| 154 |
{
|
| 155 |
-
"epoch": 0.
|
| 156 |
-
"learning_rate": 1.
|
| 157 |
-
"loss": 1.
|
| 158 |
"step": 125
|
| 159 |
},
|
| 160 |
{
|
| 161 |
-
"epoch": 0.
|
| 162 |
-
"learning_rate": 1.
|
| 163 |
-
"loss": 1.
|
| 164 |
"step": 130
|
| 165 |
},
|
| 166 |
{
|
| 167 |
-
"epoch": 0.
|
| 168 |
-
"learning_rate":
|
| 169 |
-
"loss": 1.
|
| 170 |
"step": 135
|
| 171 |
},
|
| 172 |
{
|
| 173 |
-
"epoch": 0.
|
| 174 |
-
"learning_rate":
|
| 175 |
-
"loss": 1.
|
| 176 |
"step": 140
|
| 177 |
},
|
| 178 |
{
|
| 179 |
-
"epoch": 0.
|
| 180 |
-
"learning_rate":
|
| 181 |
-
"loss": 1.
|
| 182 |
"step": 145
|
| 183 |
},
|
| 184 |
{
|
| 185 |
-
"epoch": 0.
|
| 186 |
-
"learning_rate": 1.
|
| 187 |
-
"loss": 1.
|
| 188 |
"step": 150
|
| 189 |
},
|
| 190 |
{
|
| 191 |
-
"epoch": 0.
|
| 192 |
-
"learning_rate":
|
| 193 |
-
"loss": 1.
|
| 194 |
"step": 155
|
| 195 |
},
|
| 196 |
{
|
| 197 |
-
"epoch": 0
|
| 198 |
-
"
|
| 199 |
-
"
|
| 200 |
-
"
|
|
|
|
|
|
|
| 201 |
},
|
| 202 |
{
|
| 203 |
-
"epoch": 1.
|
| 204 |
-
"
|
| 205 |
-
"
|
| 206 |
-
"
|
| 207 |
-
"eval_steps_per_second": 2.872,
|
| 208 |
-
"step": 162
|
| 209 |
},
|
| 210 |
{
|
| 211 |
"epoch": 1.04,
|
| 212 |
-
"learning_rate":
|
| 213 |
-
"loss": 1.
|
| 214 |
"step": 165
|
| 215 |
},
|
| 216 |
{
|
| 217 |
-
"epoch": 1.
|
| 218 |
-
"learning_rate": 1.
|
| 219 |
-
"loss": 1.
|
| 220 |
"step": 170
|
| 221 |
},
|
| 222 |
{
|
| 223 |
-
"epoch": 1.
|
| 224 |
-
"learning_rate": 3.
|
| 225 |
-
"loss": 1.
|
| 226 |
"step": 175
|
| 227 |
},
|
| 228 |
{
|
| 229 |
-
"epoch": 1.
|
| 230 |
-
"learning_rate":
|
| 231 |
-
"loss": 1.
|
| 232 |
"step": 180
|
| 233 |
},
|
| 234 |
{
|
| 235 |
-
"epoch": 1.
|
| 236 |
-
"learning_rate":
|
| 237 |
-
"loss": 1.
|
| 238 |
"step": 185
|
| 239 |
},
|
| 240 |
{
|
| 241 |
-
"epoch": 1.
|
| 242 |
-
"learning_rate": 1.
|
| 243 |
-
"loss": 1.
|
| 244 |
"step": 190
|
| 245 |
},
|
| 246 |
{
|
| 247 |
"epoch": 1.23,
|
| 248 |
-
"learning_rate": 1.
|
| 249 |
-
"loss": 1.
|
| 250 |
"step": 195
|
| 251 |
},
|
| 252 |
{
|
| 253 |
-
"epoch": 1.
|
| 254 |
-
"learning_rate": 2.
|
| 255 |
-
"loss": 1.
|
| 256 |
"step": 200
|
| 257 |
},
|
| 258 |
{
|
| 259 |
-
"epoch": 1.
|
| 260 |
-
"learning_rate": 2.
|
| 261 |
-
"loss": 1.
|
| 262 |
"step": 205
|
| 263 |
},
|
| 264 |
{
|
| 265 |
-
"epoch": 1.
|
| 266 |
-
"learning_rate": 3.
|
| 267 |
-
"loss": 1.
|
| 268 |
"step": 210
|
| 269 |
},
|
| 270 |
{
|
| 271 |
-
"epoch": 1.
|
| 272 |
-
"learning_rate": 3.
|
| 273 |
-
"loss": 1.
|
| 274 |
"step": 215
|
| 275 |
},
|
| 276 |
{
|
| 277 |
-
"epoch": 1.
|
| 278 |
-
"learning_rate": 4.
|
| 279 |
-
"loss": 1.
|
| 280 |
"step": 220
|
| 281 |
},
|
| 282 |
{
|
| 283 |
"epoch": 1.42,
|
| 284 |
-
"learning_rate": 5.
|
| 285 |
-
"loss": 1.
|
| 286 |
"step": 225
|
| 287 |
},
|
| 288 |
{
|
| 289 |
-
"epoch": 1.
|
| 290 |
-
"learning_rate": 5.
|
| 291 |
-
"loss": 1.
|
| 292 |
"step": 230
|
| 293 |
},
|
| 294 |
{
|
| 295 |
-
"epoch": 1.
|
| 296 |
-
"learning_rate": 6.
|
| 297 |
-
"loss": 1.
|
| 298 |
"step": 235
|
| 299 |
},
|
| 300 |
{
|
| 301 |
-
"epoch": 1.
|
| 302 |
-
"learning_rate": 7.
|
| 303 |
-
"loss": 1.
|
| 304 |
"step": 240
|
| 305 |
},
|
| 306 |
{
|
| 307 |
-
"epoch": 1.
|
| 308 |
-
"learning_rate": 7.
|
| 309 |
-
"loss": 1.
|
| 310 |
"step": 245
|
| 311 |
},
|
| 312 |
{
|
| 313 |
-
"epoch": 1.
|
| 314 |
-
"learning_rate": 8.
|
| 315 |
-
"loss": 1.
|
| 316 |
"step": 250
|
| 317 |
},
|
| 318 |
{
|
| 319 |
-
"epoch": 1.
|
| 320 |
-
"learning_rate": 9.
|
| 321 |
-
"loss": 1.
|
| 322 |
"step": 255
|
| 323 |
},
|
| 324 |
{
|
| 325 |
-
"epoch": 1.
|
| 326 |
-
"learning_rate": 9.
|
| 327 |
-
"loss": 1.
|
| 328 |
"step": 260
|
| 329 |
},
|
| 330 |
{
|
| 331 |
-
"epoch": 1.
|
| 332 |
-
"learning_rate": 0.
|
| 333 |
-
"loss": 1.
|
| 334 |
"step": 265
|
| 335 |
},
|
| 336 |
{
|
| 337 |
-
"epoch": 1.
|
| 338 |
-
"learning_rate": 0.
|
| 339 |
-
"loss": 1.
|
| 340 |
"step": 270
|
| 341 |
},
|
| 342 |
{
|
| 343 |
-
"epoch": 1.
|
| 344 |
-
"learning_rate": 0.
|
| 345 |
-
"loss": 1.
|
| 346 |
"step": 275
|
| 347 |
},
|
| 348 |
{
|
| 349 |
-
"epoch": 1.
|
| 350 |
-
"learning_rate": 0.
|
| 351 |
-
"loss": 1.
|
| 352 |
"step": 280
|
| 353 |
},
|
| 354 |
{
|
| 355 |
-
"epoch": 1.
|
| 356 |
-
"learning_rate": 0.
|
| 357 |
-
"loss": 1.
|
| 358 |
"step": 285
|
| 359 |
},
|
| 360 |
{
|
| 361 |
-
"epoch": 1.
|
| 362 |
-
"learning_rate": 0.
|
| 363 |
-
"loss": 1.
|
| 364 |
"step": 290
|
| 365 |
},
|
| 366 |
{
|
| 367 |
-
"epoch": 1.
|
| 368 |
-
"learning_rate": 0.
|
| 369 |
-
"loss": 1.
|
| 370 |
"step": 295
|
| 371 |
},
|
| 372 |
{
|
| 373 |
-
"epoch": 1.
|
| 374 |
-
"learning_rate": 0.
|
| 375 |
-
"loss": 1.
|
| 376 |
"step": 300
|
| 377 |
},
|
| 378 |
{
|
| 379 |
-
"epoch": 1.
|
| 380 |
-
"learning_rate": 0.
|
| 381 |
-
"loss": 1.
|
| 382 |
"step": 305
|
| 383 |
},
|
| 384 |
{
|
| 385 |
-
"epoch": 1.
|
| 386 |
-
"learning_rate": 0.
|
| 387 |
-
"loss": 1.
|
| 388 |
"step": 310
|
| 389 |
},
|
| 390 |
{
|
| 391 |
-
"epoch": 1.
|
| 392 |
-
"learning_rate": 0.
|
| 393 |
-
"loss": 1.
|
| 394 |
"step": 315
|
| 395 |
},
|
| 396 |
{
|
| 397 |
"epoch": 2.0,
|
| 398 |
-
"eval_loss": 1.
|
| 399 |
-
"eval_runtime":
|
| 400 |
-
"eval_samples_per_second":
|
| 401 |
-
"eval_steps_per_second":
|
| 402 |
-
"step":
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 403 |
}
|
| 404 |
],
|
| 405 |
-
"max_steps":
|
| 406 |
-
"num_train_epochs":
|
| 407 |
-
"total_flos":
|
| 408 |
"trial_name": null,
|
| 409 |
"trial_params": null
|
| 410 |
}
|
|
|
|
| 1 |
{
|
| 2 |
+
"best_metric": 1.4437962770462036,
|
| 3 |
+
"best_model_checkpoint": "output/egor-letov/checkpoint-1113",
|
| 4 |
+
"epoch": 7.0,
|
| 5 |
+
"global_step": 1113,
|
| 6 |
"is_hyper_param_search": false,
|
| 7 |
"is_local_process_zero": true,
|
| 8 |
"is_world_process_zero": true,
|
| 9 |
"log_history": [
|
| 10 |
{
|
| 11 |
"epoch": 0.03,
|
| 12 |
+
"learning_rate": 0.00013686550750800417,
|
| 13 |
+
"loss": 1.7651,
|
| 14 |
"step": 5
|
| 15 |
},
|
| 16 |
{
|
| 17 |
"epoch": 0.06,
|
| 18 |
+
"learning_rate": 0.00013586529199199337,
|
| 19 |
+
"loss": 1.744,
|
| 20 |
"step": 10
|
| 21 |
},
|
| 22 |
{
|
| 23 |
"epoch": 0.09,
|
| 24 |
+
"learning_rate": 0.00013420910752136943,
|
| 25 |
+
"loss": 1.6316,
|
| 26 |
"step": 15
|
| 27 |
},
|
| 28 |
{
|
| 29 |
+
"epoch": 0.13,
|
| 30 |
+
"learning_rate": 0.0001319131051535897,
|
| 31 |
+
"loss": 1.6707,
|
| 32 |
"step": 20
|
| 33 |
},
|
| 34 |
{
|
| 35 |
+
"epoch": 0.16,
|
| 36 |
+
"learning_rate": 0.0001289996754295761,
|
| 37 |
+
"loss": 1.6026,
|
| 38 |
"step": 25
|
| 39 |
},
|
| 40 |
{
|
| 41 |
"epoch": 0.19,
|
| 42 |
+
"learning_rate": 0.00012549723002188386,
|
| 43 |
+
"loss": 1.6338,
|
| 44 |
"step": 30
|
| 45 |
},
|
| 46 |
{
|
| 47 |
"epoch": 0.22,
|
| 48 |
+
"learning_rate": 0.00012143992466498807,
|
| 49 |
+
"loss": 1.592,
|
| 50 |
"step": 35
|
| 51 |
},
|
| 52 |
{
|
| 53 |
"epoch": 0.25,
|
| 54 |
+
"learning_rate": 0.00011686732606966479,
|
| 55 |
+
"loss": 1.6485,
|
| 56 |
"step": 40
|
| 57 |
},
|
| 58 |
{
|
| 59 |
"epoch": 0.28,
|
| 60 |
+
"learning_rate": 0.00011182402606970537,
|
| 61 |
+
"loss": 1.5618,
|
| 62 |
"step": 45
|
| 63 |
},
|
| 64 |
{
|
| 65 |
"epoch": 0.31,
|
| 66 |
+
"learning_rate": 0.00010635920676379414,
|
| 67 |
+
"loss": 1.639,
|
| 68 |
"step": 50
|
| 69 |
},
|
| 70 |
{
|
| 71 |
+
"epoch": 0.35,
|
| 72 |
+
"learning_rate": 0.00010052616089327038,
|
| 73 |
+
"loss": 1.616,
|
| 74 |
"step": 55
|
| 75 |
},
|
| 76 |
{
|
| 77 |
+
"epoch": 0.38,
|
| 78 |
+
"learning_rate": 9.438177213303676e-05,
|
| 79 |
+
"loss": 1.6779,
|
| 80 |
"step": 60
|
| 81 |
},
|
| 82 |
{
|
| 83 |
+
"epoch": 0.41,
|
| 84 |
+
"learning_rate": 8.798596036379876e-05,
|
| 85 |
+
"loss": 1.6006,
|
| 86 |
"step": 65
|
| 87 |
},
|
| 88 |
{
|
| 89 |
+
"epoch": 0.44,
|
| 90 |
+
"learning_rate": 8.140109733532407e-05,
|
| 91 |
+
"loss": 1.6413,
|
| 92 |
"step": 70
|
| 93 |
},
|
| 94 |
{
|
| 95 |
+
"epoch": 0.47,
|
| 96 |
+
"learning_rate": 7.469139841915332e-05,
|
| 97 |
+
"loss": 1.6066,
|
| 98 |
"step": 75
|
| 99 |
},
|
| 100 |
{
|
| 101 |
+
"epoch": 0.5,
|
| 102 |
+
"learning_rate": 6.792229638237148e-05,
|
| 103 |
+
"loss": 1.5749,
|
| 104 |
"step": 80
|
| 105 |
},
|
| 106 |
{
|
| 107 |
+
"epoch": 0.53,
|
| 108 |
+
"learning_rate": 6.11598032893766e-05,
|
| 109 |
+
"loss": 1.5668,
|
| 110 |
"step": 85
|
| 111 |
},
|
| 112 |
{
|
| 113 |
+
"epoch": 0.57,
|
| 114 |
+
"learning_rate": 5.446986675436074e-05,
|
| 115 |
+
"loss": 1.6693,
|
| 116 |
"step": 90
|
| 117 |
},
|
| 118 |
{
|
| 119 |
+
"epoch": 0.6,
|
| 120 |
+
"learning_rate": 4.7917726822305834e-05,
|
| 121 |
+
"loss": 1.5177,
|
| 122 |
"step": 95
|
| 123 |
},
|
| 124 |
{
|
| 125 |
+
"epoch": 0.63,
|
| 126 |
+
"learning_rate": 4.156727975017365e-05,
|
| 127 |
+
"loss": 1.5749,
|
| 128 |
"step": 100
|
| 129 |
},
|
| 130 |
{
|
| 131 |
+
"epoch": 0.66,
|
| 132 |
+
"learning_rate": 3.5480454892670955e-05,
|
| 133 |
+
"loss": 1.7175,
|
| 134 |
"step": 105
|
| 135 |
},
|
| 136 |
{
|
| 137 |
+
"epoch": 0.69,
|
| 138 |
+
"learning_rate": 2.9716610769183376e-05,
|
| 139 |
+
"loss": 1.5363,
|
| 140 |
"step": 110
|
| 141 |
},
|
| 142 |
{
|
| 143 |
+
"epoch": 0.72,
|
| 144 |
+
"learning_rate": 2.433195620141175e-05,
|
| 145 |
+
"loss": 1.5101,
|
| 146 |
"step": 115
|
| 147 |
},
|
| 148 |
{
|
| 149 |
+
"epoch": 0.75,
|
| 150 |
+
"learning_rate": 1.9379002166758904e-05,
|
| 151 |
+
"loss": 1.454,
|
| 152 |
"step": 120
|
| 153 |
},
|
| 154 |
{
|
| 155 |
+
"epoch": 0.79,
|
| 156 |
+
"learning_rate": 1.4906049712973773e-05,
|
| 157 |
+
"loss": 1.5586,
|
| 158 |
"step": 125
|
| 159 |
},
|
| 160 |
{
|
| 161 |
+
"epoch": 0.82,
|
| 162 |
+
"learning_rate": 1.0956718927894408e-05,
|
| 163 |
+
"loss": 1.5785,
|
| 164 |
"step": 130
|
| 165 |
},
|
| 166 |
{
|
| 167 |
+
"epoch": 0.85,
|
| 168 |
+
"learning_rate": 7.569523557760334e-06,
|
| 169 |
+
"loss": 1.542,
|
| 170 |
"step": 135
|
| 171 |
},
|
| 172 |
{
|
| 173 |
+
"epoch": 0.88,
|
| 174 |
+
"learning_rate": 4.777495422403531e-06,
|
| 175 |
+
"loss": 1.5961,
|
| 176 |
"step": 140
|
| 177 |
},
|
| 178 |
{
|
| 179 |
+
"epoch": 0.91,
|
| 180 |
+
"learning_rate": 2.607862290008129e-06,
|
| 181 |
+
"loss": 1.5725,
|
| 182 |
"step": 145
|
| 183 |
},
|
| 184 |
{
|
| 185 |
+
"epoch": 0.94,
|
| 186 |
+
"learning_rate": 1.0817823527948728e-06,
|
| 187 |
+
"loss": 1.5678,
|
| 188 |
"step": 150
|
| 189 |
},
|
| 190 |
{
|
| 191 |
+
"epoch": 0.97,
|
| 192 |
+
"learning_rate": 2.1413789301400542e-07,
|
| 193 |
+
"loss": 1.5592,
|
| 194 |
"step": 155
|
| 195 |
},
|
| 196 |
{
|
| 197 |
+
"epoch": 1.0,
|
| 198 |
+
"eval_loss": 1.5221866369247437,
|
| 199 |
+
"eval_runtime": 5.3885,
|
| 200 |
+
"eval_samples_per_second": 44.725,
|
| 201 |
+
"eval_steps_per_second": 5.753,
|
| 202 |
+
"step": 159
|
| 203 |
},
|
| 204 |
{
|
| 205 |
+
"epoch": 1.01,
|
| 206 |
+
"learning_rate": 1.339015140952895e-08,
|
| 207 |
+
"loss": 1.5752,
|
| 208 |
+
"step": 160
|
|
|
|
|
|
|
| 209 |
},
|
| 210 |
{
|
| 211 |
"epoch": 1.04,
|
| 212 |
+
"learning_rate": 4.814968134727319e-07,
|
| 213 |
+
"loss": 1.6004,
|
| 214 |
"step": 165
|
| 215 |
},
|
| 216 |
{
|
| 217 |
+
"epoch": 1.07,
|
| 218 |
+
"learning_rate": 1.6138929181565955e-06,
|
| 219 |
+
"loss": 1.6208,
|
| 220 |
"step": 170
|
| 221 |
},
|
| 222 |
{
|
| 223 |
+
"epoch": 1.1,
|
| 224 |
+
"learning_rate": 3.399535375228382e-06,
|
| 225 |
+
"loss": 1.5048,
|
| 226 |
"step": 175
|
| 227 |
},
|
| 228 |
{
|
| 229 |
+
"epoch": 1.13,
|
| 230 |
+
"learning_rate": 5.821010657128918e-06,
|
| 231 |
+
"loss": 1.5368,
|
| 232 |
"step": 180
|
| 233 |
},
|
| 234 |
{
|
| 235 |
+
"epoch": 1.16,
|
| 236 |
+
"learning_rate": 8.854704615130833e-06,
|
| 237 |
+
"loss": 1.4625,
|
| 238 |
"step": 185
|
| 239 |
},
|
| 240 |
{
|
| 241 |
+
"epoch": 1.19,
|
| 242 |
+
"learning_rate": 1.247103276375417e-05,
|
| 243 |
+
"loss": 1.5028,
|
| 244 |
"step": 190
|
| 245 |
},
|
| 246 |
{
|
| 247 |
"epoch": 1.23,
|
| 248 |
+
"learning_rate": 1.663472878771286e-05,
|
| 249 |
+
"loss": 1.5655,
|
| 250 |
"step": 195
|
| 251 |
},
|
| 252 |
{
|
| 253 |
+
"epoch": 1.26,
|
| 254 |
+
"learning_rate": 2.130518845788256e-05,
|
| 255 |
+
"loss": 1.6462,
|
| 256 |
"step": 200
|
| 257 |
},
|
| 258 |
{
|
| 259 |
+
"epoch": 1.29,
|
| 260 |
+
"learning_rate": 2.6436865602431155e-05,
|
| 261 |
+
"loss": 1.5009,
|
| 262 |
"step": 205
|
| 263 |
},
|
| 264 |
{
|
| 265 |
+
"epoch": 1.32,
|
| 266 |
+
"learning_rate": 3.197971627161538e-05,
|
| 267 |
+
"loss": 1.4222,
|
| 268 |
"step": 210
|
| 269 |
},
|
| 270 |
{
|
| 271 |
+
"epoch": 1.35,
|
| 272 |
+
"learning_rate": 3.7879686764761665e-05,
|
| 273 |
+
"loss": 1.4581,
|
| 274 |
"step": 215
|
| 275 |
},
|
| 276 |
{
|
| 277 |
+
"epoch": 1.38,
|
| 278 |
+
"learning_rate": 4.407924076020964e-05,
|
| 279 |
+
"loss": 1.5815,
|
| 280 |
"step": 220
|
| 281 |
},
|
| 282 |
{
|
| 283 |
"epoch": 1.42,
|
| 284 |
+
"learning_rate": 5.0517920407661895e-05,
|
| 285 |
+
"loss": 1.4586,
|
| 286 |
"step": 225
|
| 287 |
},
|
| 288 |
{
|
| 289 |
+
"epoch": 1.45,
|
| 290 |
+
"learning_rate": 5.713293591118741e-05,
|
| 291 |
+
"loss": 1.6639,
|
| 292 |
"step": 230
|
| 293 |
},
|
| 294 |
{
|
| 295 |
+
"epoch": 1.48,
|
| 296 |
+
"learning_rate": 6.385977785328257e-05,
|
| 297 |
+
"loss": 1.4835,
|
| 298 |
"step": 235
|
| 299 |
},
|
| 300 |
{
|
| 301 |
+
"epoch": 1.51,
|
| 302 |
+
"learning_rate": 7.063284628862755e-05,
|
| 303 |
+
"loss": 1.4511,
|
| 304 |
"step": 240
|
| 305 |
},
|
| 306 |
{
|
| 307 |
+
"epoch": 1.54,
|
| 308 |
+
"learning_rate": 7.738609047263356e-05,
|
| 309 |
+
"loss": 1.5574,
|
| 310 |
"step": 245
|
| 311 |
},
|
| 312 |
{
|
| 313 |
+
"epoch": 1.57,
|
| 314 |
+
"learning_rate": 8.405365298617052e-05,
|
| 315 |
+
"loss": 1.5211,
|
| 316 |
"step": 250
|
| 317 |
},
|
| 318 |
{
|
| 319 |
+
"epoch": 1.6,
|
| 320 |
+
"learning_rate": 9.057051197499065e-05,
|
| 321 |
+
"loss": 1.5923,
|
| 322 |
"step": 255
|
| 323 |
},
|
| 324 |
{
|
| 325 |
+
"epoch": 1.64,
|
| 326 |
+
"learning_rate": 9.687311524075133e-05,
|
| 327 |
+
"loss": 1.4926,
|
| 328 |
"step": 260
|
| 329 |
},
|
| 330 |
{
|
| 331 |
+
"epoch": 1.67,
|
| 332 |
+
"learning_rate": 0.00010289999999999994,
|
| 333 |
+
"loss": 1.5,
|
| 334 |
"step": 265
|
| 335 |
},
|
| 336 |
{
|
| 337 |
+
"epoch": 1.7,
|
| 338 |
+
"learning_rate": 0.00010859239226725281,
|
| 339 |
+
"loss": 1.6531,
|
| 340 |
"step": 270
|
| 341 |
},
|
| 342 |
{
|
| 343 |
+
"epoch": 1.73,
|
| 344 |
+
"learning_rate": 0.00011389478001700268,
|
| 345 |
+
"loss": 1.5839,
|
| 346 |
"step": 275
|
| 347 |
},
|
| 348 |
{
|
| 349 |
+
"epoch": 1.76,
|
| 350 |
+
"learning_rate": 0.0001187554545351989,
|
| 351 |
+
"loss": 1.5527,
|
| 352 |
"step": 280
|
| 353 |
},
|
| 354 |
{
|
| 355 |
+
"epoch": 1.79,
|
| 356 |
+
"learning_rate": 0.00012312701468095597,
|
| 357 |
+
"loss": 1.4811,
|
| 358 |
"step": 285
|
| 359 |
},
|
| 360 |
{
|
| 361 |
+
"epoch": 1.82,
|
| 362 |
+
"learning_rate": 0.0001269668291409485,
|
| 363 |
+
"loss": 1.6154,
|
| 364 |
"step": 290
|
| 365 |
},
|
| 366 |
{
|
| 367 |
+
"epoch": 1.86,
|
| 368 |
+
"learning_rate": 0.0001302374521686013,
|
| 369 |
+
"loss": 1.611,
|
| 370 |
"step": 295
|
| 371 |
},
|
| 372 |
{
|
| 373 |
+
"epoch": 1.89,
|
| 374 |
+
"learning_rate": 0.00013290698875380067,
|
| 375 |
+
"loss": 1.5892,
|
| 376 |
"step": 300
|
| 377 |
},
|
| 378 |
{
|
| 379 |
+
"epoch": 1.92,
|
| 380 |
+
"learning_rate": 0.0001349494056620028,
|
| 381 |
+
"loss": 1.4601,
|
| 382 |
"step": 305
|
| 383 |
},
|
| 384 |
{
|
| 385 |
+
"epoch": 1.95,
|
| 386 |
+
"learning_rate": 0.0001363447853094957,
|
| 387 |
+
"loss": 1.4863,
|
| 388 |
"step": 310
|
| 389 |
},
|
| 390 |
{
|
| 391 |
+
"epoch": 1.98,
|
| 392 |
+
"learning_rate": 0.00013707951999903243,
|
| 393 |
+
"loss": 1.5381,
|
| 394 |
"step": 315
|
| 395 |
},
|
| 396 |
{
|
| 397 |
"epoch": 2.0,
|
| 398 |
+
"eval_loss": 1.5293655395507812,
|
| 399 |
+
"eval_runtime": 5.7302,
|
| 400 |
+
"eval_samples_per_second": 42.058,
|
| 401 |
+
"eval_steps_per_second": 5.41,
|
| 402 |
+
"step": 318
|
| 403 |
+
},
|
| 404 |
+
{
|
| 405 |
+
"epoch": 2.01,
|
| 406 |
+
"learning_rate": 0.00013714644462165502,
|
| 407 |
+
"loss": 1.4756,
|
| 408 |
+
"step": 320
|
| 409 |
+
},
|
| 410 |
+
{
|
| 411 |
+
"epoch": 2.04,
|
| 412 |
+
"learning_rate": 0.00013654490653060552,
|
| 413 |
+
"loss": 1.538,
|
| 414 |
+
"step": 325
|
| 415 |
+
},
|
| 416 |
+
{
|
| 417 |
+
"epoch": 2.08,
|
| 418 |
+
"learning_rate": 0.00013528077190591619,
|
| 419 |
+
"loss": 1.4616,
|
| 420 |
+
"step": 330
|
| 421 |
+
},
|
| 422 |
+
{
|
| 423 |
+
"epoch": 2.11,
|
| 424 |
+
"learning_rate": 0.00013336636854761124,
|
| 425 |
+
"loss": 1.4735,
|
| 426 |
+
"step": 335
|
| 427 |
+
},
|
| 428 |
+
{
|
| 429 |
+
"epoch": 2.14,
|
| 430 |
+
"learning_rate": 0.00013082036565539916,
|
| 431 |
+
"loss": 1.3918,
|
| 432 |
+
"step": 340
|
| 433 |
+
},
|
| 434 |
+
{
|
| 435 |
+
"epoch": 2.17,
|
| 436 |
+
"learning_rate": 0.00012766759176724058,
|
| 437 |
+
"loss": 1.4803,
|
| 438 |
+
"step": 345
|
| 439 |
+
},
|
| 440 |
+
{
|
| 441 |
+
"epoch": 2.2,
|
| 442 |
+
"learning_rate": 0.00012393879263224768,
|
| 443 |
+
"loss": 1.6293,
|
| 444 |
+
"step": 350
|
| 445 |
+
},
|
| 446 |
+
{
|
| 447 |
+
"epoch": 2.23,
|
| 448 |
+
"learning_rate": 0.00011967033137913236,
|
| 449 |
+
"loss": 1.5226,
|
| 450 |
+
"step": 355
|
| 451 |
+
},
|
| 452 |
+
{
|
| 453 |
+
"epoch": 2.26,
|
| 454 |
+
"learning_rate": 0.00011490383390414918,
|
| 455 |
+
"loss": 1.5126,
|
| 456 |
+
"step": 360
|
| 457 |
+
},
|
| 458 |
+
{
|
| 459 |
+
"epoch": 2.3,
|
| 460 |
+
"learning_rate": 0.00010968578293670085,
|
| 461 |
+
"loss": 1.5304,
|
| 462 |
+
"step": 365
|
| 463 |
+
},
|
| 464 |
+
{
|
| 465 |
+
"epoch": 2.33,
|
| 466 |
+
"learning_rate": 0.00010406706474126147,
|
| 467 |
+
"loss": 1.4686,
|
| 468 |
+
"step": 370
|
| 469 |
+
},
|
| 470 |
+
{
|
| 471 |
+
"epoch": 2.36,
|
| 472 |
+
"learning_rate": 9.810247287616943e-05,
|
| 473 |
+
"loss": 1.4261,
|
| 474 |
+
"step": 375
|
| 475 |
+
},
|
| 476 |
+
{
|
| 477 |
+
"epoch": 2.39,
|
| 478 |
+
"learning_rate": 9.185017384861683e-05,
|
| 479 |
+
"loss": 1.4695,
|
| 480 |
+
"step": 380
|
| 481 |
+
},
|
| 482 |
+
{
|
| 483 |
+
"epoch": 2.42,
|
| 484 |
+
"learning_rate": 8.537113987675073e-05,
|
| 485 |
+
"loss": 1.4489,
|
| 486 |
+
"step": 385
|
| 487 |
+
},
|
| 488 |
+
{
|
| 489 |
+
"epoch": 2.45,
|
| 490 |
+
"learning_rate": 7.872855429057032e-05,
|
| 491 |
+
"loss": 1.5209,
|
| 492 |
+
"step": 390
|
| 493 |
+
},
|
| 494 |
+
{
|
| 495 |
+
"epoch": 2.48,
|
| 496 |
+
"learning_rate": 7.198719537013416e-05,
|
| 497 |
+
"loss": 1.4409,
|
| 498 |
+
"step": 395
|
| 499 |
+
},
|
| 500 |
+
{
|
| 501 |
+
"epoch": 2.52,
|
| 502 |
+
"learning_rate": 6.521280462986591e-05,
|
| 503 |
+
"loss": 1.4272,
|
| 504 |
+
"step": 400
|
| 505 |
+
},
|
| 506 |
+
{
|
| 507 |
+
"epoch": 2.55,
|
| 508 |
+
"learning_rate": 5.847144570942975e-05,
|
| 509 |
+
"loss": 1.4187,
|
| 510 |
+
"step": 405
|
| 511 |
+
},
|
| 512 |
+
{
|
| 513 |
+
"epoch": 2.58,
|
| 514 |
+
"learning_rate": 5.1828860123249337e-05,
|
| 515 |
+
"loss": 1.4412,
|
| 516 |
+
"step": 410
|
| 517 |
+
},
|
| 518 |
+
{
|
| 519 |
+
"epoch": 2.61,
|
| 520 |
+
"learning_rate": 4.5349826151383235e-05,
|
| 521 |
+
"loss": 1.536,
|
| 522 |
+
"step": 415
|
| 523 |
+
},
|
| 524 |
+
{
|
| 525 |
+
"epoch": 2.64,
|
| 526 |
+
"learning_rate": 3.909752712383064e-05,
|
| 527 |
+
"loss": 1.468,
|
| 528 |
+
"step": 420
|
| 529 |
+
},
|
| 530 |
+
{
|
| 531 |
+
"epoch": 2.67,
|
| 532 |
+
"learning_rate": 3.31329352587386e-05,
|
| 533 |
+
"loss": 1.4604,
|
| 534 |
+
"step": 425
|
| 535 |
+
},
|
| 536 |
+
{
|
| 537 |
+
"epoch": 2.7,
|
| 538 |
+
"learning_rate": 2.7514217063299194e-05,
|
| 539 |
+
"loss": 1.4515,
|
| 540 |
+
"step": 430
|
| 541 |
+
},
|
| 542 |
+
{
|
| 543 |
+
"epoch": 2.74,
|
| 544 |
+
"learning_rate": 2.229616609585087e-05,
|
| 545 |
+
"loss": 1.4215,
|
| 546 |
+
"step": 435
|
| 547 |
+
},
|
| 548 |
+
{
|
| 549 |
+
"epoch": 2.77,
|
| 550 |
+
"learning_rate": 1.7529668620867685e-05,
|
| 551 |
+
"loss": 1.4177,
|
| 552 |
+
"step": 440
|
| 553 |
+
},
|
| 554 |
+
{
|
| 555 |
+
"epoch": 2.8,
|
| 556 |
+
"learning_rate": 1.3261207367752373e-05,
|
| 557 |
+
"loss": 1.4707,
|
| 558 |
+
"step": 445
|
| 559 |
+
},
|
| 560 |
+
{
|
| 561 |
+
"epoch": 2.83,
|
| 562 |
+
"learning_rate": 9.53240823275947e-06,
|
| 563 |
+
"loss": 1.4591,
|
| 564 |
+
"step": 450
|
| 565 |
+
},
|
| 566 |
+
{
|
| 567 |
+
"epoch": 2.86,
|
| 568 |
+
"learning_rate": 6.379634344600892e-06,
|
| 569 |
+
"loss": 1.5216,
|
| 570 |
+
"step": 455
|
| 571 |
+
},
|
| 572 |
+
{
|
| 573 |
+
"epoch": 2.89,
|
| 574 |
+
"learning_rate": 3.833631452388783e-06,
|
| 575 |
+
"loss": 1.4972,
|
| 576 |
+
"step": 460
|
| 577 |
+
},
|
| 578 |
+
{
|
| 579 |
+
"epoch": 2.92,
|
| 580 |
+
"learning_rate": 1.919228094083838e-06,
|
| 581 |
+
"loss": 1.5209,
|
| 582 |
+
"step": 465
|
| 583 |
+
},
|
| 584 |
+
{
|
| 585 |
+
"epoch": 2.96,
|
| 586 |
+
"learning_rate": 6.550934693944858e-07,
|
| 587 |
+
"loss": 1.45,
|
| 588 |
+
"step": 470
|
| 589 |
+
},
|
| 590 |
+
{
|
| 591 |
+
"epoch": 2.99,
|
| 592 |
+
"learning_rate": 5.35553783449795e-08,
|
| 593 |
+
"loss": 1.4454,
|
| 594 |
+
"step": 475
|
| 595 |
+
},
|
| 596 |
+
{
|
| 597 |
+
"epoch": 3.0,
|
| 598 |
+
"eval_loss": 1.4749490022659302,
|
| 599 |
+
"eval_runtime": 5.7804,
|
| 600 |
+
"eval_samples_per_second": 41.693,
|
| 601 |
+
"eval_steps_per_second": 5.363,
|
| 602 |
+
"step": 477
|
| 603 |
+
},
|
| 604 |
+
{
|
| 605 |
+
"epoch": 3.02,
|
| 606 |
+
"learning_rate": 1.2048000096755528e-07,
|
| 607 |
+
"loss": 1.5049,
|
| 608 |
+
"step": 480
|
| 609 |
+
},
|
| 610 |
+
{
|
| 611 |
+
"epoch": 3.05,
|
| 612 |
+
"learning_rate": 8.552146905042678e-07,
|
| 613 |
+
"loss": 1.4016,
|
| 614 |
+
"step": 485
|
| 615 |
+
},
|
| 616 |
+
{
|
| 617 |
+
"epoch": 3.08,
|
| 618 |
+
"learning_rate": 2.2505943379971545e-06,
|
| 619 |
+
"loss": 1.4147,
|
| 620 |
+
"step": 490
|
| 621 |
+
},
|
| 622 |
+
{
|
| 623 |
+
"epoch": 3.11,
|
| 624 |
+
"learning_rate": 4.293011246199337e-06,
|
| 625 |
+
"loss": 1.3828,
|
| 626 |
+
"step": 495
|
| 627 |
+
},
|
| 628 |
+
{
|
| 629 |
+
"epoch": 3.14,
|
| 630 |
+
"learning_rate": 6.9625478313987545e-06,
|
| 631 |
+
"loss": 1.431,
|
| 632 |
+
"step": 500
|
| 633 |
+
},
|
| 634 |
+
{
|
| 635 |
+
"epoch": 3.18,
|
| 636 |
+
"learning_rate": 1.023317085905152e-05,
|
| 637 |
+
"loss": 1.4227,
|
| 638 |
+
"step": 505
|
| 639 |
+
},
|
| 640 |
+
{
|
| 641 |
+
"epoch": 3.21,
|
| 642 |
+
"learning_rate": 1.4072985319043966e-05,
|
| 643 |
+
"loss": 1.4611,
|
| 644 |
+
"step": 510
|
| 645 |
+
},
|
| 646 |
+
{
|
| 647 |
+
"epoch": 3.24,
|
| 648 |
+
"learning_rate": 1.8444545464801038e-05,
|
| 649 |
+
"loss": 1.3548,
|
| 650 |
+
"step": 515
|
| 651 |
+
},
|
| 652 |
+
{
|
| 653 |
+
"epoch": 3.27,
|
| 654 |
+
"learning_rate": 2.330521998299726e-05,
|
| 655 |
+
"loss": 1.4269,
|
| 656 |
+
"step": 520
|
| 657 |
+
},
|
| 658 |
+
{
|
| 659 |
+
"epoch": 3.3,
|
| 660 |
+
"learning_rate": 2.8607607732747138e-05,
|
| 661 |
+
"loss": 1.4122,
|
| 662 |
+
"step": 525
|
| 663 |
+
},
|
| 664 |
+
{
|
| 665 |
+
"epoch": 3.33,
|
| 666 |
+
"learning_rate": 3.429999999999989e-05,
|
| 667 |
+
"loss": 1.42,
|
| 668 |
+
"step": 530
|
| 669 |
+
},
|
| 670 |
+
{
|
| 671 |
+
"epoch": 3.36,
|
| 672 |
+
"learning_rate": 4.032688475924871e-05,
|
| 673 |
+
"loss": 1.388,
|
| 674 |
+
"step": 535
|
| 675 |
+
},
|
| 676 |
+
{
|
| 677 |
+
"epoch": 3.4,
|
| 678 |
+
"learning_rate": 4.66294880250094e-05,
|
| 679 |
+
"loss": 1.369,
|
| 680 |
+
"step": 540
|
| 681 |
+
},
|
| 682 |
+
{
|
| 683 |
+
"epoch": 3.43,
|
| 684 |
+
"learning_rate": 5.3146347013829526e-05,
|
| 685 |
+
"loss": 1.3512,
|
| 686 |
+
"step": 545
|
| 687 |
+
},
|
| 688 |
+
{
|
| 689 |
+
"epoch": 3.46,
|
| 690 |
+
"learning_rate": 5.981390952736637e-05,
|
| 691 |
+
"loss": 1.3807,
|
| 692 |
+
"step": 550
|
| 693 |
+
},
|
| 694 |
+
{
|
| 695 |
+
"epoch": 3.49,
|
| 696 |
+
"learning_rate": 6.656715371137237e-05,
|
| 697 |
+
"loss": 1.466,
|
| 698 |
+
"step": 555
|
| 699 |
+
},
|
| 700 |
+
{
|
| 701 |
+
"epoch": 3.52,
|
| 702 |
+
"learning_rate": 7.334022214671736e-05,
|
| 703 |
+
"loss": 1.3711,
|
| 704 |
+
"step": 560
|
| 705 |
+
},
|
| 706 |
+
{
|
| 707 |
+
"epoch": 3.55,
|
| 708 |
+
"learning_rate": 8.006706408881251e-05,
|
| 709 |
+
"loss": 1.3797,
|
| 710 |
+
"step": 565
|
| 711 |
+
},
|
| 712 |
+
{
|
| 713 |
+
"epoch": 3.58,
|
| 714 |
+
"learning_rate": 8.668207959233792e-05,
|
| 715 |
+
"loss": 1.413,
|
| 716 |
+
"step": 570
|
| 717 |
+
},
|
| 718 |
+
{
|
| 719 |
+
"epoch": 3.62,
|
| 720 |
+
"learning_rate": 9.312075923979041e-05,
|
| 721 |
+
"loss": 1.3859,
|
| 722 |
+
"step": 575
|
| 723 |
+
},
|
| 724 |
+
{
|
| 725 |
+
"epoch": 3.65,
|
| 726 |
+
"learning_rate": 9.932031323523837e-05,
|
| 727 |
+
"loss": 1.4853,
|
| 728 |
+
"step": 580
|
| 729 |
+
},
|
| 730 |
+
{
|
| 731 |
+
"epoch": 3.68,
|
| 732 |
+
"learning_rate": 0.00010522028372838466,
|
| 733 |
+
"loss": 1.3925,
|
| 734 |
+
"step": 585
|
| 735 |
+
},
|
| 736 |
+
{
|
| 737 |
+
"epoch": 3.71,
|
| 738 |
+
"learning_rate": 0.0001107631343975688,
|
| 739 |
+
"loss": 1.4442,
|
| 740 |
+
"step": 590
|
| 741 |
+
},
|
| 742 |
+
{
|
| 743 |
+
"epoch": 3.74,
|
| 744 |
+
"learning_rate": 0.00011589481154211739,
|
| 745 |
+
"loss": 1.5125,
|
| 746 |
+
"step": 595
|
| 747 |
+
},
|
| 748 |
+
{
|
| 749 |
+
"epoch": 3.77,
|
| 750 |
+
"learning_rate": 0.00012056527121228708,
|
| 751 |
+
"loss": 1.3964,
|
| 752 |
+
"step": 600
|
| 753 |
+
},
|
| 754 |
+
{
|
| 755 |
+
"epoch": 3.81,
|
| 756 |
+
"learning_rate": 0.0001247289672362458,
|
| 757 |
+
"loss": 1.4655,
|
| 758 |
+
"step": 605
|
| 759 |
+
},
|
| 760 |
+
{
|
| 761 |
+
"epoch": 3.84,
|
| 762 |
+
"learning_rate": 0.00012834529538486908,
|
| 763 |
+
"loss": 1.3898,
|
| 764 |
+
"step": 610
|
| 765 |
+
},
|
| 766 |
+
{
|
| 767 |
+
"epoch": 3.87,
|
| 768 |
+
"learning_rate": 0.00013137898934287108,
|
| 769 |
+
"loss": 1.4001,
|
| 770 |
+
"step": 615
|
| 771 |
+
},
|
| 772 |
+
{
|
| 773 |
+
"epoch": 3.9,
|
| 774 |
+
"learning_rate": 0.00013380046462477163,
|
| 775 |
+
"loss": 1.4248,
|
| 776 |
+
"step": 620
|
| 777 |
+
},
|
| 778 |
+
{
|
| 779 |
+
"epoch": 3.93,
|
| 780 |
+
"learning_rate": 0.0001355861070818434,
|
| 781 |
+
"loss": 1.3956,
|
| 782 |
+
"step": 625
|
| 783 |
+
},
|
| 784 |
+
{
|
| 785 |
+
"epoch": 3.96,
|
| 786 |
+
"learning_rate": 0.00013671850318652725,
|
| 787 |
+
"loss": 1.4704,
|
| 788 |
+
"step": 630
|
| 789 |
+
},
|
| 790 |
+
{
|
| 791 |
+
"epoch": 3.99,
|
| 792 |
+
"learning_rate": 0.0001371866098485905,
|
| 793 |
+
"loss": 1.4419,
|
| 794 |
+
"step": 635
|
| 795 |
+
},
|
| 796 |
+
{
|
| 797 |
+
"epoch": 4.0,
|
| 798 |
+
"eval_loss": 1.4980032444000244,
|
| 799 |
+
"eval_runtime": 5.8381,
|
| 800 |
+
"eval_samples_per_second": 41.28,
|
| 801 |
+
"eval_steps_per_second": 5.31,
|
| 802 |
+
"step": 636
|
| 803 |
+
},
|
| 804 |
+
{
|
| 805 |
+
"epoch": 4.03,
|
| 806 |
+
"learning_rate": 0.000136985862106986,
|
| 807 |
+
"loss": 1.3728,
|
| 808 |
+
"step": 640
|
| 809 |
+
},
|
| 810 |
+
{
|
| 811 |
+
"epoch": 4.06,
|
| 812 |
+
"learning_rate": 0.00013611821764720515,
|
| 813 |
+
"loss": 1.3237,
|
| 814 |
+
"step": 645
|
| 815 |
+
},
|
| 816 |
+
{
|
| 817 |
+
"epoch": 4.09,
|
| 818 |
+
"learning_rate": 0.00013459213770999185,
|
| 819 |
+
"loss": 1.3533,
|
| 820 |
+
"step": 650
|
| 821 |
+
},
|
| 822 |
+
{
|
| 823 |
+
"epoch": 4.12,
|
| 824 |
+
"learning_rate": 0.00013242250457759646,
|
| 825 |
+
"loss": 1.4508,
|
| 826 |
+
"step": 655
|
| 827 |
+
},
|
| 828 |
+
{
|
| 829 |
+
"epoch": 4.15,
|
| 830 |
+
"learning_rate": 0.00012963047644223966,
|
| 831 |
+
"loss": 1.4551,
|
| 832 |
+
"step": 660
|
| 833 |
+
},
|
| 834 |
+
{
|
| 835 |
+
"epoch": 4.18,
|
| 836 |
+
"learning_rate": 0.00012624328107210575,
|
| 837 |
+
"loss": 1.3913,
|
| 838 |
+
"step": 665
|
| 839 |
+
},
|
| 840 |
+
{
|
| 841 |
+
"epoch": 4.21,
|
| 842 |
+
"learning_rate": 0.00012229395028702628,
|
| 843 |
+
"loss": 1.3365,
|
| 844 |
+
"step": 670
|
| 845 |
+
},
|
| 846 |
+
{
|
| 847 |
+
"epoch": 4.25,
|
| 848 |
+
"learning_rate": 0.00011782099783324114,
|
| 849 |
+
"loss": 1.4044,
|
| 850 |
+
"step": 675
|
| 851 |
+
},
|
| 852 |
+
{
|
| 853 |
+
"epoch": 4.28,
|
| 854 |
+
"learning_rate": 0.00011286804379858831,
|
| 855 |
+
"loss": 1.3806,
|
| 856 |
+
"step": 680
|
| 857 |
+
},
|
| 858 |
+
{
|
| 859 |
+
"epoch": 4.31,
|
| 860 |
+
"learning_rate": 0.00010748338923081678,
|
| 861 |
+
"loss": 1.3692,
|
| 862 |
+
"step": 685
|
| 863 |
+
},
|
| 864 |
+
{
|
| 865 |
+
"epoch": 4.34,
|
| 866 |
+
"learning_rate": 0.00010171954510732902,
|
| 867 |
+
"loss": 1.3377,
|
| 868 |
+
"step": 690
|
| 869 |
+
},
|
| 870 |
+
{
|
| 871 |
+
"epoch": 4.37,
|
| 872 |
+
"learning_rate": 9.56327202498263e-05,
|
| 873 |
+
"loss": 1.3899,
|
| 874 |
+
"step": 695
|
| 875 |
+
},
|
| 876 |
+
{
|
| 877 |
+
"epoch": 4.4,
|
| 878 |
+
"learning_rate": 8.928227317769412e-05,
|
| 879 |
+
"loss": 1.3824,
|
| 880 |
+
"step": 700
|
| 881 |
+
},
|
| 882 |
+
{
|
| 883 |
+
"epoch": 4.43,
|
| 884 |
+
"learning_rate": 8.273013324563958e-05,
|
| 885 |
+
"loss": 1.3517,
|
| 886 |
+
"step": 705
|
| 887 |
+
},
|
| 888 |
+
{
|
| 889 |
+
"epoch": 4.47,
|
| 890 |
+
"learning_rate": 7.604019671062341e-05,
|
| 891 |
+
"loss": 1.3471,
|
| 892 |
+
"step": 710
|
| 893 |
+
},
|
| 894 |
+
{
|
| 895 |
+
"epoch": 4.5,
|
| 896 |
+
"learning_rate": 6.927770361762859e-05,
|
| 897 |
+
"loss": 1.363,
|
| 898 |
+
"step": 715
|
| 899 |
+
},
|
| 900 |
+
{
|
| 901 |
+
"epoch": 4.53,
|
| 902 |
+
"learning_rate": 6.250860158084675e-05,
|
| 903 |
+
"loss": 1.4238,
|
| 904 |
+
"step": 720
|
| 905 |
+
},
|
| 906 |
+
{
|
| 907 |
+
"epoch": 4.56,
|
| 908 |
+
"learning_rate": 5.5798902664676055e-05,
|
| 909 |
+
"loss": 1.3159,
|
| 910 |
+
"step": 725
|
| 911 |
+
},
|
| 912 |
+
{
|
| 913 |
+
"epoch": 4.59,
|
| 914 |
+
"learning_rate": 4.921403963620114e-05,
|
| 915 |
+
"loss": 1.3496,
|
| 916 |
+
"step": 730
|
| 917 |
+
},
|
| 918 |
+
{
|
| 919 |
+
"epoch": 4.62,
|
| 920 |
+
"learning_rate": 4.2818227866963195e-05,
|
| 921 |
+
"loss": 1.3717,
|
| 922 |
+
"step": 735
|
| 923 |
+
},
|
| 924 |
+
{
|
| 925 |
+
"epoch": 4.65,
|
| 926 |
+
"learning_rate": 3.667383910672979e-05,
|
| 927 |
+
"loss": 1.4263,
|
| 928 |
+
"step": 740
|
| 929 |
+
},
|
| 930 |
+
{
|
| 931 |
+
"epoch": 4.69,
|
| 932 |
+
"learning_rate": 3.084079323620607e-05,
|
| 933 |
+
"loss": 1.4238,
|
| 934 |
+
"step": 745
|
| 935 |
+
},
|
| 936 |
+
{
|
| 937 |
+
"epoch": 4.72,
|
| 938 |
+
"learning_rate": 2.537597393029464e-05,
|
| 939 |
+
"loss": 1.3789,
|
| 940 |
+
"step": 750
|
| 941 |
+
},
|
| 942 |
+
{
|
| 943 |
+
"epoch": 4.75,
|
| 944 |
+
"learning_rate": 2.0332673930335262e-05,
|
| 945 |
+
"loss": 1.2943,
|
| 946 |
+
"step": 755
|
| 947 |
+
},
|
| 948 |
+
{
|
| 949 |
+
"epoch": 4.78,
|
| 950 |
+
"learning_rate": 1.576007533501198e-05,
|
| 951 |
+
"loss": 1.4457,
|
| 952 |
+
"step": 760
|
| 953 |
+
},
|
| 954 |
+
{
|
| 955 |
+
"epoch": 4.81,
|
| 956 |
+
"learning_rate": 1.170276997811622e-05,
|
| 957 |
+
"loss": 1.3882,
|
| 958 |
+
"step": 765
|
| 959 |
+
},
|
| 960 |
+
{
|
| 961 |
+
"epoch": 4.84,
|
| 962 |
+
"learning_rate": 8.200324570423858e-06,
|
| 963 |
+
"loss": 1.3435,
|
| 964 |
+
"step": 770
|
| 965 |
+
},
|
| 966 |
+
{
|
| 967 |
+
"epoch": 4.87,
|
| 968 |
+
"learning_rate": 5.286894846410311e-06,
|
| 969 |
+
"loss": 1.3625,
|
| 970 |
+
"step": 775
|
| 971 |
+
},
|
| 972 |
+
{
|
| 973 |
+
"epoch": 4.91,
|
| 974 |
+
"learning_rate": 2.9908924786306224e-06,
|
| 975 |
+
"loss": 1.3336,
|
| 976 |
+
"step": 780
|
| 977 |
+
},
|
| 978 |
+
{
|
| 979 |
+
"epoch": 4.94,
|
| 980 |
+
"learning_rate": 1.3347080080066949e-06,
|
| 981 |
+
"loss": 1.3698,
|
| 982 |
+
"step": 785
|
| 983 |
+
},
|
| 984 |
+
{
|
| 985 |
+
"epoch": 4.97,
|
| 986 |
+
"learning_rate": 3.34492491995841e-07,
|
| 987 |
+
"loss": 1.3109,
|
| 988 |
+
"step": 790
|
| 989 |
+
},
|
| 990 |
+
{
|
| 991 |
+
"epoch": 5.0,
|
| 992 |
+
"learning_rate": 0.0,
|
| 993 |
+
"loss": 1.3807,
|
| 994 |
+
"step": 795
|
| 995 |
+
},
|
| 996 |
+
{
|
| 997 |
+
"epoch": 5.0,
|
| 998 |
+
"eval_loss": 1.4533822536468506,
|
| 999 |
+
"eval_runtime": 5.8855,
|
| 1000 |
+
"eval_samples_per_second": 40.948,
|
| 1001 |
+
"eval_steps_per_second": 5.267,
|
| 1002 |
+
"step": 795
|
| 1003 |
+
},
|
| 1004 |
+
{
|
| 1005 |
+
"epoch": 5.03,
|
| 1006 |
+
"learning_rate": 3.3449249199583335e-07,
|
| 1007 |
+
"loss": 1.2678,
|
| 1008 |
+
"step": 800
|
| 1009 |
+
},
|
| 1010 |
+
{
|
| 1011 |
+
"epoch": 5.06,
|
| 1012 |
+
"learning_rate": 1.334708008006672e-06,
|
| 1013 |
+
"loss": 1.2155,
|
| 1014 |
+
"step": 805
|
| 1015 |
+
},
|
| 1016 |
+
{
|
| 1017 |
+
"epoch": 5.09,
|
| 1018 |
+
"learning_rate": 2.990892478630592e-06,
|
| 1019 |
+
"loss": 1.265,
|
| 1020 |
+
"step": 810
|
| 1021 |
+
},
|
| 1022 |
+
{
|
| 1023 |
+
"epoch": 5.13,
|
| 1024 |
+
"learning_rate": 5.286894846410265e-06,
|
| 1025 |
+
"loss": 1.2533,
|
| 1026 |
+
"step": 815
|
| 1027 |
+
},
|
| 1028 |
+
{
|
| 1029 |
+
"epoch": 5.16,
|
| 1030 |
+
"learning_rate": 8.200324570423804e-06,
|
| 1031 |
+
"loss": 1.2628,
|
| 1032 |
+
"step": 820
|
| 1033 |
+
},
|
| 1034 |
+
{
|
| 1035 |
+
"epoch": 5.19,
|
| 1036 |
+
"learning_rate": 1.1702769978116159e-05,
|
| 1037 |
+
"loss": 1.321,
|
| 1038 |
+
"step": 825
|
| 1039 |
+
},
|
| 1040 |
+
{
|
| 1041 |
+
"epoch": 5.22,
|
| 1042 |
+
"learning_rate": 1.5760075335011905e-05,
|
| 1043 |
+
"loss": 1.3229,
|
| 1044 |
+
"step": 830
|
| 1045 |
+
},
|
| 1046 |
+
{
|
| 1047 |
+
"epoch": 5.25,
|
| 1048 |
+
"learning_rate": 2.0332673930335177e-05,
|
| 1049 |
+
"loss": 1.3257,
|
| 1050 |
+
"step": 835
|
| 1051 |
+
},
|
| 1052 |
+
{
|
| 1053 |
+
"epoch": 5.28,
|
| 1054 |
+
"learning_rate": 2.537597393029455e-05,
|
| 1055 |
+
"loss": 1.3373,
|
| 1056 |
+
"step": 840
|
| 1057 |
+
},
|
| 1058 |
+
{
|
| 1059 |
+
"epoch": 5.31,
|
| 1060 |
+
"learning_rate": 3.0840793236205985e-05,
|
| 1061 |
+
"loss": 1.2971,
|
| 1062 |
+
"step": 845
|
| 1063 |
+
},
|
| 1064 |
+
{
|
| 1065 |
+
"epoch": 5.35,
|
| 1066 |
+
"learning_rate": 3.667383910672968e-05,
|
| 1067 |
+
"loss": 1.1974,
|
| 1068 |
+
"step": 850
|
| 1069 |
+
},
|
| 1070 |
+
{
|
| 1071 |
+
"epoch": 5.38,
|
| 1072 |
+
"learning_rate": 4.281822786696309e-05,
|
| 1073 |
+
"loss": 1.3887,
|
| 1074 |
+
"step": 855
|
| 1075 |
+
},
|
| 1076 |
+
{
|
| 1077 |
+
"epoch": 5.41,
|
| 1078 |
+
"learning_rate": 4.921403963620103e-05,
|
| 1079 |
+
"loss": 1.3505,
|
| 1080 |
+
"step": 860
|
| 1081 |
+
},
|
| 1082 |
+
{
|
| 1083 |
+
"epoch": 5.44,
|
| 1084 |
+
"learning_rate": 5.579890266467594e-05,
|
| 1085 |
+
"loss": 1.319,
|
| 1086 |
+
"step": 865
|
| 1087 |
+
},
|
| 1088 |
+
{
|
| 1089 |
+
"epoch": 5.47,
|
| 1090 |
+
"learning_rate": 6.250860158084664e-05,
|
| 1091 |
+
"loss": 1.3255,
|
| 1092 |
+
"step": 870
|
| 1093 |
+
},
|
| 1094 |
+
{
|
| 1095 |
+
"epoch": 5.5,
|
| 1096 |
+
"learning_rate": 6.927770361762848e-05,
|
| 1097 |
+
"loss": 1.2311,
|
| 1098 |
+
"step": 875
|
| 1099 |
+
},
|
| 1100 |
+
{
|
| 1101 |
+
"epoch": 5.53,
|
| 1102 |
+
"learning_rate": 7.604019671062329e-05,
|
| 1103 |
+
"loss": 1.3552,
|
| 1104 |
+
"step": 880
|
| 1105 |
+
},
|
| 1106 |
+
{
|
| 1107 |
+
"epoch": 5.57,
|
| 1108 |
+
"learning_rate": 8.273013324563947e-05,
|
| 1109 |
+
"loss": 1.3885,
|
| 1110 |
+
"step": 885
|
| 1111 |
+
},
|
| 1112 |
+
{
|
| 1113 |
+
"epoch": 5.6,
|
| 1114 |
+
"learning_rate": 8.928227317769401e-05,
|
| 1115 |
+
"loss": 1.3314,
|
| 1116 |
+
"step": 890
|
| 1117 |
+
},
|
| 1118 |
+
{
|
| 1119 |
+
"epoch": 5.63,
|
| 1120 |
+
"learning_rate": 9.563272024982619e-05,
|
| 1121 |
+
"loss": 1.3202,
|
| 1122 |
+
"step": 895
|
| 1123 |
+
},
|
| 1124 |
+
{
|
| 1125 |
+
"epoch": 5.66,
|
| 1126 |
+
"learning_rate": 0.00010171954510732891,
|
| 1127 |
+
"loss": 1.3272,
|
| 1128 |
+
"step": 900
|
| 1129 |
+
},
|
| 1130 |
+
{
|
| 1131 |
+
"epoch": 5.69,
|
| 1132 |
+
"learning_rate": 0.00010748338923081667,
|
| 1133 |
+
"loss": 1.2248,
|
| 1134 |
+
"step": 905
|
| 1135 |
+
},
|
| 1136 |
+
{
|
| 1137 |
+
"epoch": 5.72,
|
| 1138 |
+
"learning_rate": 0.00011286804379858823,
|
| 1139 |
+
"loss": 1.3777,
|
| 1140 |
+
"step": 910
|
| 1141 |
+
},
|
| 1142 |
+
{
|
| 1143 |
+
"epoch": 5.75,
|
| 1144 |
+
"learning_rate": 0.00011782099783324106,
|
| 1145 |
+
"loss": 1.3051,
|
| 1146 |
+
"step": 915
|
| 1147 |
+
},
|
| 1148 |
+
{
|
| 1149 |
+
"epoch": 5.79,
|
| 1150 |
+
"learning_rate": 0.0001222939502870262,
|
| 1151 |
+
"loss": 1.3295,
|
| 1152 |
+
"step": 920
|
| 1153 |
+
},
|
| 1154 |
+
{
|
| 1155 |
+
"epoch": 5.82,
|
| 1156 |
+
"learning_rate": 0.0001262432810721057,
|
| 1157 |
+
"loss": 1.3102,
|
| 1158 |
+
"step": 925
|
| 1159 |
+
},
|
| 1160 |
+
{
|
| 1161 |
+
"epoch": 5.85,
|
| 1162 |
+
"learning_rate": 0.00012963047644223957,
|
| 1163 |
+
"loss": 1.409,
|
| 1164 |
+
"step": 930
|
| 1165 |
+
},
|
| 1166 |
+
{
|
| 1167 |
+
"epoch": 5.88,
|
| 1168 |
+
"learning_rate": 0.0001324225045775964,
|
| 1169 |
+
"loss": 1.3435,
|
| 1170 |
+
"step": 935
|
| 1171 |
+
},
|
| 1172 |
+
{
|
| 1173 |
+
"epoch": 5.91,
|
| 1174 |
+
"learning_rate": 0.00013459213770999182,
|
| 1175 |
+
"loss": 1.3775,
|
| 1176 |
+
"step": 940
|
| 1177 |
+
},
|
| 1178 |
+
{
|
| 1179 |
+
"epoch": 5.94,
|
| 1180 |
+
"learning_rate": 0.00013611821764720515,
|
| 1181 |
+
"loss": 1.3406,
|
| 1182 |
+
"step": 945
|
| 1183 |
+
},
|
| 1184 |
+
{
|
| 1185 |
+
"epoch": 5.97,
|
| 1186 |
+
"learning_rate": 0.000136985862106986,
|
| 1187 |
+
"loss": 1.4464,
|
| 1188 |
+
"step": 950
|
| 1189 |
+
},
|
| 1190 |
+
{
|
| 1191 |
+
"epoch": 6.0,
|
| 1192 |
+
"eval_loss": 1.4797894954681396,
|
| 1193 |
+
"eval_runtime": 5.9157,
|
| 1194 |
+
"eval_samples_per_second": 40.739,
|
| 1195 |
+
"eval_steps_per_second": 5.24,
|
| 1196 |
+
"step": 954
|
| 1197 |
+
},
|
| 1198 |
+
{
|
| 1199 |
+
"epoch": 6.01,
|
| 1200 |
+
"learning_rate": 0.0001371866098485905,
|
| 1201 |
+
"loss": 1.2626,
|
| 1202 |
+
"step": 955
|
| 1203 |
+
},
|
| 1204 |
+
{
|
| 1205 |
+
"epoch": 6.04,
|
| 1206 |
+
"learning_rate": 0.00013671850318652725,
|
| 1207 |
+
"loss": 1.2796,
|
| 1208 |
+
"step": 960
|
| 1209 |
+
},
|
| 1210 |
+
{
|
| 1211 |
+
"epoch": 6.07,
|
| 1212 |
+
"learning_rate": 0.00013558610708184343,
|
| 1213 |
+
"loss": 1.1514,
|
| 1214 |
+
"step": 965
|
| 1215 |
+
},
|
| 1216 |
+
{
|
| 1217 |
+
"epoch": 6.1,
|
| 1218 |
+
"learning_rate": 0.00013380046462477168,
|
| 1219 |
+
"loss": 1.3043,
|
| 1220 |
+
"step": 970
|
| 1221 |
+
},
|
| 1222 |
+
{
|
| 1223 |
+
"epoch": 6.13,
|
| 1224 |
+
"learning_rate": 0.00013137898934287106,
|
| 1225 |
+
"loss": 1.327,
|
| 1226 |
+
"step": 975
|
| 1227 |
+
},
|
| 1228 |
+
{
|
| 1229 |
+
"epoch": 6.16,
|
| 1230 |
+
"learning_rate": 0.00012834529538486924,
|
| 1231 |
+
"loss": 1.214,
|
| 1232 |
+
"step": 980
|
| 1233 |
+
},
|
| 1234 |
+
{
|
| 1235 |
+
"epoch": 6.19,
|
| 1236 |
+
"learning_rate": 0.00012472896723624585,
|
| 1237 |
+
"loss": 1.1638,
|
| 1238 |
+
"step": 985
|
| 1239 |
+
},
|
| 1240 |
+
{
|
| 1241 |
+
"epoch": 6.23,
|
| 1242 |
+
"learning_rate": 0.00012056527121228703,
|
| 1243 |
+
"loss": 1.3165,
|
| 1244 |
+
"step": 990
|
| 1245 |
+
},
|
| 1246 |
+
{
|
| 1247 |
+
"epoch": 6.26,
|
| 1248 |
+
"learning_rate": 0.00011589481154211748,
|
| 1249 |
+
"loss": 1.3327,
|
| 1250 |
+
"step": 995
|
| 1251 |
+
},
|
| 1252 |
+
{
|
| 1253 |
+
"epoch": 6.29,
|
| 1254 |
+
"learning_rate": 0.00011076313439756889,
|
| 1255 |
+
"loss": 1.3318,
|
| 1256 |
+
"step": 1000
|
| 1257 |
+
},
|
| 1258 |
+
{
|
| 1259 |
+
"epoch": 6.32,
|
| 1260 |
+
"learning_rate": 0.00010522028372838475,
|
| 1261 |
+
"loss": 1.3088,
|
| 1262 |
+
"step": 1005
|
| 1263 |
+
},
|
| 1264 |
+
{
|
| 1265 |
+
"epoch": 6.35,
|
| 1266 |
+
"learning_rate": 9.932031323523849e-05,
|
| 1267 |
+
"loss": 1.4023,
|
| 1268 |
+
"step": 1010
|
| 1269 |
+
},
|
| 1270 |
+
{
|
| 1271 |
+
"epoch": 6.38,
|
| 1272 |
+
"learning_rate": 9.312075923979029e-05,
|
| 1273 |
+
"loss": 1.2767,
|
| 1274 |
+
"step": 1015
|
| 1275 |
+
},
|
| 1276 |
+
{
|
| 1277 |
+
"epoch": 6.42,
|
| 1278 |
+
"learning_rate": 8.668207959233826e-05,
|
| 1279 |
+
"loss": 1.3357,
|
| 1280 |
+
"step": 1020
|
| 1281 |
+
},
|
| 1282 |
+
{
|
| 1283 |
+
"epoch": 6.45,
|
| 1284 |
+
"learning_rate": 8.006706408881263e-05,
|
| 1285 |
+
"loss": 1.2732,
|
| 1286 |
+
"step": 1025
|
| 1287 |
+
},
|
| 1288 |
+
{
|
| 1289 |
+
"epoch": 6.48,
|
| 1290 |
+
"learning_rate": 7.334022214671723e-05,
|
| 1291 |
+
"loss": 1.2055,
|
| 1292 |
+
"step": 1030
|
| 1293 |
+
},
|
| 1294 |
+
{
|
| 1295 |
+
"epoch": 6.51,
|
| 1296 |
+
"learning_rate": 6.656715371137249e-05,
|
| 1297 |
+
"loss": 1.3083,
|
| 1298 |
+
"step": 1035
|
| 1299 |
+
},
|
| 1300 |
+
{
|
| 1301 |
+
"epoch": 6.54,
|
| 1302 |
+
"learning_rate": 5.981390952736648e-05,
|
| 1303 |
+
"loss": 1.3757,
|
| 1304 |
+
"step": 1040
|
| 1305 |
+
},
|
| 1306 |
+
{
|
| 1307 |
+
"epoch": 6.57,
|
| 1308 |
+
"learning_rate": 5.314634701382964e-05,
|
| 1309 |
+
"loss": 1.2944,
|
| 1310 |
+
"step": 1045
|
| 1311 |
+
},
|
| 1312 |
+
{
|
| 1313 |
+
"epoch": 6.6,
|
| 1314 |
+
"learning_rate": 4.66294880250095e-05,
|
| 1315 |
+
"loss": 1.3276,
|
| 1316 |
+
"step": 1050
|
| 1317 |
+
},
|
| 1318 |
+
{
|
| 1319 |
+
"epoch": 6.64,
|
| 1320 |
+
"learning_rate": 4.032688475924859e-05,
|
| 1321 |
+
"loss": 1.2886,
|
| 1322 |
+
"step": 1055
|
| 1323 |
+
},
|
| 1324 |
+
{
|
| 1325 |
+
"epoch": 6.67,
|
| 1326 |
+
"learning_rate": 3.4300000000000204e-05,
|
| 1327 |
+
"loss": 1.2137,
|
| 1328 |
+
"step": 1060
|
| 1329 |
+
},
|
| 1330 |
+
{
|
| 1331 |
+
"epoch": 6.7,
|
| 1332 |
+
"learning_rate": 2.8607607732747236e-05,
|
| 1333 |
+
"loss": 1.2814,
|
| 1334 |
+
"step": 1065
|
| 1335 |
+
},
|
| 1336 |
+
{
|
| 1337 |
+
"epoch": 6.73,
|
| 1338 |
+
"learning_rate": 2.3305219982997162e-05,
|
| 1339 |
+
"loss": 1.2878,
|
| 1340 |
+
"step": 1070
|
| 1341 |
+
},
|
| 1342 |
+
{
|
| 1343 |
+
"epoch": 6.76,
|
| 1344 |
+
"learning_rate": 1.844454546480112e-05,
|
| 1345 |
+
"loss": 1.2616,
|
| 1346 |
+
"step": 1075
|
| 1347 |
+
},
|
| 1348 |
+
{
|
| 1349 |
+
"epoch": 6.79,
|
| 1350 |
+
"learning_rate": 1.4072985319044034e-05,
|
| 1351 |
+
"loss": 1.2864,
|
| 1352 |
+
"step": 1080
|
| 1353 |
+
},
|
| 1354 |
+
{
|
| 1355 |
+
"epoch": 6.82,
|
| 1356 |
+
"learning_rate": 1.0233170859051581e-05,
|
| 1357 |
+
"loss": 1.3714,
|
| 1358 |
+
"step": 1085
|
| 1359 |
+
},
|
| 1360 |
+
{
|
| 1361 |
+
"epoch": 6.86,
|
| 1362 |
+
"learning_rate": 6.962547831398808e-06,
|
| 1363 |
+
"loss": 1.2827,
|
| 1364 |
+
"step": 1090
|
| 1365 |
+
},
|
| 1366 |
+
{
|
| 1367 |
+
"epoch": 6.89,
|
| 1368 |
+
"learning_rate": 4.293011246199291e-06,
|
| 1369 |
+
"loss": 1.3028,
|
| 1370 |
+
"step": 1095
|
| 1371 |
+
},
|
| 1372 |
+
{
|
| 1373 |
+
"epoch": 6.92,
|
| 1374 |
+
"learning_rate": 2.250594337997246e-06,
|
| 1375 |
+
"loss": 1.2778,
|
| 1376 |
+
"step": 1100
|
| 1377 |
+
},
|
| 1378 |
+
{
|
| 1379 |
+
"epoch": 6.95,
|
| 1380 |
+
"learning_rate": 8.552146905042907e-07,
|
| 1381 |
+
"loss": 1.2184,
|
| 1382 |
+
"step": 1105
|
| 1383 |
+
},
|
| 1384 |
+
{
|
| 1385 |
+
"epoch": 6.98,
|
| 1386 |
+
"learning_rate": 1.2048000096754006e-07,
|
| 1387 |
+
"loss": 1.241,
|
| 1388 |
+
"step": 1110
|
| 1389 |
+
},
|
| 1390 |
+
{
|
| 1391 |
+
"epoch": 7.0,
|
| 1392 |
+
"eval_loss": 1.4437962770462036,
|
| 1393 |
+
"eval_runtime": 5.9385,
|
| 1394 |
+
"eval_samples_per_second": 40.583,
|
| 1395 |
+
"eval_steps_per_second": 5.22,
|
| 1396 |
+
"step": 1113
|
| 1397 |
}
|
| 1398 |
],
|
| 1399 |
+
"max_steps": 1908,
|
| 1400 |
+
"num_train_epochs": 12,
|
| 1401 |
+
"total_flos": 1163272126464000.0,
|
| 1402 |
"trial_name": null,
|
| 1403 |
"trial_params": null
|
| 1404 |
}
|
training_args.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 3055
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:d29a7fadb1f47d3f5370d5b1eccc8a69c510597d58478dd78798440ba68baf96
|
| 3 |
size 3055
|