End of training
Browse files- README.md +353 -353
- config.json +5 -5
- model.safetensors +2 -2
- training_args.bin +2 -2
README.md
CHANGED
|
@@ -10,12 +10,12 @@ model-index:
|
|
| 10 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
| 11 |
should probably proofread and complete it, then remove this comment. -->
|
| 12 |
|
| 13 |
-
[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/iscteiul/CVTT/runs/
|
| 14 |
# monolang_roberta
|
| 15 |
|
| 16 |
This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
|
| 17 |
It achieves the following results on the evaluation set:
|
| 18 |
-
- Loss:
|
| 19 |
|
| 20 |
## Model description
|
| 21 |
|
|
@@ -40,7 +40,7 @@ The following hyperparameters were used during training:
|
|
| 40 |
- seed: 42
|
| 41 |
- gradient_accumulation_steps: 8
|
| 42 |
- total_train_batch_size: 1024
|
| 43 |
-
- optimizer: Use OptimizerNames.
|
| 44 |
- lr_scheduler_type: linear
|
| 45 |
- num_epochs: 200
|
| 46 |
- mixed_precision_training: Native AMP
|
|
@@ -49,359 +49,359 @@ The following hyperparameters were used during training:
|
|
| 49 |
|
| 50 |
| Training Loss | Epoch | Step | Validation Loss |
|
| 51 |
|:-------------:|:--------:|:-----:|:---------------:|
|
| 52 |
-
|
|
| 53 |
-
|
|
| 54 |
-
|
|
| 55 |
-
|
|
| 56 |
-
|
|
| 57 |
-
|
|
| 58 |
-
| 2.
|
| 59 |
-
| 2.
|
| 60 |
-
| 2.
|
| 61 |
-
| 2.
|
| 62 |
-
| 2.
|
| 63 |
-
| 2.
|
| 64 |
-
| 2.
|
| 65 |
-
|
|
| 66 |
-
|
|
| 67 |
-
|
|
| 68 |
-
|
|
| 69 |
-
|
|
| 70 |
-
|
|
| 71 |
-
|
|
| 72 |
-
|
|
| 73 |
-
|
|
| 74 |
-
|
|
| 75 |
-
|
|
| 76 |
-
|
|
| 77 |
-
|
|
| 78 |
-
|
|
| 79 |
-
| 1.
|
| 80 |
-
|
|
| 81 |
-
|
|
| 82 |
-
|
|
| 83 |
-
| 1.
|
| 84 |
-
| 1.
|
| 85 |
-
| 1.
|
| 86 |
-
| 1.
|
| 87 |
-
| 1.
|
| 88 |
-
| 1.
|
| 89 |
-
| 1.
|
| 90 |
-
| 1.
|
| 91 |
-
| 1.
|
| 92 |
-
| 1.
|
| 93 |
-
| 1.
|
| 94 |
-
| 1.
|
| 95 |
-
| 1.
|
| 96 |
-
| 1.
|
| 97 |
-
| 1.
|
| 98 |
-
| 1.
|
| 99 |
-
| 1.
|
| 100 |
-
| 1.
|
| 101 |
-
| 1.
|
| 102 |
-
| 1.
|
| 103 |
-
| 1.
|
| 104 |
-
| 1.
|
| 105 |
-
| 1.
|
| 106 |
-
| 1.
|
| 107 |
-
| 1.
|
| 108 |
-
| 1.
|
| 109 |
-
| 1.
|
| 110 |
-
| 1.
|
| 111 |
-
| 1.
|
| 112 |
-
| 1.
|
| 113 |
-
| 1.
|
| 114 |
-
| 1.
|
| 115 |
-
| 1.
|
| 116 |
-
| 1.
|
| 117 |
-
| 1.
|
| 118 |
-
| 1.
|
| 119 |
-
| 1.
|
| 120 |
-
| 1.
|
| 121 |
-
| 1.
|
| 122 |
-
| 1.
|
| 123 |
-
| 1.
|
| 124 |
-
| 1.
|
| 125 |
-
| 1.
|
| 126 |
-
| 1.
|
| 127 |
-
| 1.
|
| 128 |
-
| 1.
|
| 129 |
-
| 1.
|
| 130 |
-
| 1.
|
| 131 |
-
| 1.
|
| 132 |
-
| 1.
|
| 133 |
-
| 1.
|
| 134 |
-
| 1.
|
| 135 |
-
| 1.
|
| 136 |
-
| 1.
|
| 137 |
-
| 1.
|
| 138 |
-
| 1.
|
| 139 |
-
| 1.
|
| 140 |
-
| 1.
|
| 141 |
-
| 1.
|
| 142 |
-
| 1.
|
| 143 |
-
| 1.
|
| 144 |
-
| 1.
|
| 145 |
-
| 1.
|
| 146 |
-
| 1.
|
| 147 |
-
| 1.
|
| 148 |
-
| 1.
|
| 149 |
-
| 1.
|
| 150 |
-
| 1.
|
| 151 |
-
| 1.
|
| 152 |
-
| 1.
|
| 153 |
-
| 1.
|
| 154 |
-
| 1.
|
| 155 |
-
| 1.
|
| 156 |
-
| 1.
|
| 157 |
-
| 1.
|
| 158 |
-
| 1.
|
| 159 |
-
| 1.
|
| 160 |
-
| 1.
|
| 161 |
-
| 1.
|
| 162 |
-
| 1.
|
| 163 |
-
|
|
| 164 |
-
| 1.
|
| 165 |
-
| 1.
|
| 166 |
-
| 1.
|
| 167 |
-
| 1.
|
| 168 |
-
| 1.
|
| 169 |
-
| 1.
|
| 170 |
-
|
|
| 171 |
-
| 1.
|
| 172 |
-
| 1.
|
| 173 |
-
| 1.
|
| 174 |
-
| 1.
|
| 175 |
-
| 1.
|
| 176 |
-
|
|
| 177 |
-
|
|
| 178 |
-
| 1.
|
| 179 |
-
|
|
| 180 |
-
| 1.
|
| 181 |
-
|
|
| 182 |
-
|
|
| 183 |
-
|
|
| 184 |
-
|
|
| 185 |
-
|
|
| 186 |
-
|
|
| 187 |
-
|
|
| 188 |
-
|
|
| 189 |
-
|
|
| 190 |
-
|
|
| 191 |
-
|
|
| 192 |
-
|
|
| 193 |
-
| 1.
|
| 194 |
-
|
|
| 195 |
-
|
|
| 196 |
-
|
|
| 197 |
-
|
|
| 198 |
-
|
|
| 199 |
-
|
|
| 200 |
-
|
|
| 201 |
-
|
|
| 202 |
-
|
|
| 203 |
-
|
|
| 204 |
-
|
|
| 205 |
-
|
|
| 206 |
-
|
|
| 207 |
-
|
|
| 208 |
-
|
|
| 209 |
-
|
|
| 210 |
-
|
|
| 211 |
-
|
|
| 212 |
-
|
|
| 213 |
-
|
|
| 214 |
-
|
|
| 215 |
-
|
|
| 216 |
-
|
|
| 217 |
-
|
|
| 218 |
-
|
|
| 219 |
-
|
|
| 220 |
-
|
|
| 221 |
-
|
|
| 222 |
-
|
|
| 223 |
-
|
|
| 224 |
-
|
|
| 225 |
-
|
|
| 226 |
-
|
|
| 227 |
-
|
|
| 228 |
-
|
|
| 229 |
-
|
|
| 230 |
-
|
|
| 231 |
-
|
|
| 232 |
-
|
|
| 233 |
-
|
|
| 234 |
-
|
|
| 235 |
-
|
|
| 236 |
-
|
|
| 237 |
-
|
|
| 238 |
-
|
|
| 239 |
-
|
|
| 240 |
-
|
|
| 241 |
-
|
|
| 242 |
-
|
|
| 243 |
-
|
|
| 244 |
-
|
|
| 245 |
-
|
|
| 246 |
-
|
|
| 247 |
-
|
|
| 248 |
-
|
|
| 249 |
-
|
|
| 250 |
-
|
|
| 251 |
-
|
|
| 252 |
-
|
|
| 253 |
-
|
|
| 254 |
-
|
|
| 255 |
-
|
|
| 256 |
-
|
|
| 257 |
-
|
|
| 258 |
-
|
|
| 259 |
-
|
|
| 260 |
-
|
|
| 261 |
-
|
|
| 262 |
-
|
|
| 263 |
-
|
|
| 264 |
-
|
|
| 265 |
-
|
|
| 266 |
-
|
|
| 267 |
-
|
|
| 268 |
-
|
|
| 269 |
-
|
|
| 270 |
-
|
|
| 271 |
-
|
|
| 272 |
-
|
|
| 273 |
-
|
|
| 274 |
-
|
|
| 275 |
-
|
|
| 276 |
-
|
|
| 277 |
-
|
|
| 278 |
-
|
|
| 279 |
-
|
|
| 280 |
-
|
|
| 281 |
-
|
|
| 282 |
-
|
|
| 283 |
-
|
|
| 284 |
-
|
|
| 285 |
-
|
|
| 286 |
-
|
|
| 287 |
-
|
|
| 288 |
-
|
|
| 289 |
-
|
|
| 290 |
-
|
|
| 291 |
-
|
|
| 292 |
-
|
|
| 293 |
-
|
|
| 294 |
-
|
|
| 295 |
-
|
|
| 296 |
-
|
|
| 297 |
-
|
|
| 298 |
-
|
|
| 299 |
-
|
|
| 300 |
-
|
|
| 301 |
-
|
|
| 302 |
-
|
|
| 303 |
-
|
|
| 304 |
-
|
|
| 305 |
-
|
|
| 306 |
-
|
|
| 307 |
-
|
|
| 308 |
-
|
|
| 309 |
-
|
|
| 310 |
-
|
|
| 311 |
-
|
|
| 312 |
-
|
|
| 313 |
-
|
|
| 314 |
-
|
|
| 315 |
-
|
|
| 316 |
-
|
|
| 317 |
-
|
|
| 318 |
-
|
|
| 319 |
-
|
|
| 320 |
-
|
|
| 321 |
-
|
|
| 322 |
-
|
|
| 323 |
-
|
|
| 324 |
-
|
|
| 325 |
-
|
|
| 326 |
-
|
|
| 327 |
-
|
|
| 328 |
-
|
|
| 329 |
-
|
|
| 330 |
-
|
|
| 331 |
-
|
|
| 332 |
-
|
|
| 333 |
-
|
|
| 334 |
-
|
|
| 335 |
-
|
|
| 336 |
-
|
|
| 337 |
-
|
|
| 338 |
-
|
|
| 339 |
-
|
|
| 340 |
-
|
|
| 341 |
-
|
|
| 342 |
-
|
|
| 343 |
-
|
|
| 344 |
-
|
|
| 345 |
-
|
|
| 346 |
-
|
|
| 347 |
-
|
|
| 348 |
-
|
|
| 349 |
-
|
|
| 350 |
-
|
|
| 351 |
-
|
|
| 352 |
-
|
|
| 353 |
-
|
|
| 354 |
-
|
|
| 355 |
-
|
|
| 356 |
-
|
|
| 357 |
-
|
|
| 358 |
-
|
|
| 359 |
-
|
|
| 360 |
-
|
|
| 361 |
-
|
|
| 362 |
-
|
|
| 363 |
-
|
|
| 364 |
-
|
|
| 365 |
-
|
|
| 366 |
-
|
|
| 367 |
-
|
|
| 368 |
-
|
|
| 369 |
-
|
|
| 370 |
-
|
|
| 371 |
-
|
|
| 372 |
-
|
|
| 373 |
-
|
|
| 374 |
-
|
|
| 375 |
-
|
|
| 376 |
-
|
|
| 377 |
-
|
|
| 378 |
-
|
|
| 379 |
-
|
|
| 380 |
-
|
|
| 381 |
-
|
|
| 382 |
-
|
|
| 383 |
-
|
|
| 384 |
-
|
|
| 385 |
-
|
|
| 386 |
-
|
|
| 387 |
-
|
|
| 388 |
-
|
|
| 389 |
-
|
|
| 390 |
-
|
|
| 391 |
-
|
|
| 392 |
-
|
|
| 393 |
-
|
|
| 394 |
-
|
|
| 395 |
-
|
|
| 396 |
-
|
|
| 397 |
-
|
|
| 398 |
-
|
|
| 399 |
-
|
|
| 400 |
|
| 401 |
|
| 402 |
### Framework versions
|
| 403 |
|
| 404 |
-
- Transformers 4.
|
| 405 |
-
- Pytorch 2.
|
| 406 |
- Datasets 3.5.0
|
| 407 |
- Tokenizers 0.21.1
|
|
|
|
| 10 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
| 11 |
should probably proofread and complete it, then remove this comment. -->
|
| 12 |
|
| 13 |
+
[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/iscteiul/CVTT/runs/fdifrfwx)
|
| 14 |
# monolang_roberta
|
| 15 |
|
| 16 |
This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
|
| 17 |
It achieves the following results on the evaluation set:
|
| 18 |
+
- Loss: 0.9385
|
| 19 |
|
| 20 |
## Model description
|
| 21 |
|
|
|
|
| 40 |
- seed: 42
|
| 41 |
- gradient_accumulation_steps: 8
|
| 42 |
- total_train_batch_size: 1024
|
| 43 |
+
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
|
| 44 |
- lr_scheduler_type: linear
|
| 45 |
- num_epochs: 200
|
| 46 |
- mixed_precision_training: Native AMP
|
|
|
|
| 49 |
|
| 50 |
| Training Loss | Epoch | Step | Validation Loss |
|
| 51 |
|:-------------:|:--------:|:-----:|:---------------:|
|
| 52 |
+
| 4.4349 | 0.5735 | 100 | 4.3381 |
|
| 53 |
+
| 3.8735 | 1.1434 | 200 | 3.7823 |
|
| 54 |
+
| 3.3911 | 1.7168 | 300 | 3.2961 |
|
| 55 |
+
| 2.9697 | 2.2867 | 400 | 2.8922 |
|
| 56 |
+
| 2.7205 | 2.8602 | 500 | 2.6339 |
|
| 57 |
+
| 2.5559 | 3.4301 | 600 | 2.5141 |
|
| 58 |
+
| 2.3181 | 4.0 | 700 | 2.4083 |
|
| 59 |
+
| 2.3552 | 4.5735 | 800 | 2.3259 |
|
| 60 |
+
| 2.3103 | 5.1434 | 900 | 2.2369 |
|
| 61 |
+
| 2.2467 | 5.7168 | 1000 | 2.1760 |
|
| 62 |
+
| 2.1783 | 6.2867 | 1100 | 2.1176 |
|
| 63 |
+
| 2.0986 | 6.8602 | 1200 | 2.0375 |
|
| 64 |
+
| 2.054 | 7.4301 | 1300 | 1.9929 |
|
| 65 |
+
| 1.9001 | 8.0 | 1400 | 1.9407 |
|
| 66 |
+
| 1.932 | 8.5735 | 1500 | 1.8962 |
|
| 67 |
+
| 1.8773 | 9.1434 | 1600 | 1.8646 |
|
| 68 |
+
| 1.8432 | 9.7168 | 1700 | 1.8133 |
|
| 69 |
+
| 1.8199 | 10.2867 | 1800 | 1.7744 |
|
| 70 |
+
| 1.8058 | 10.8602 | 1900 | 1.7552 |
|
| 71 |
+
| 1.7913 | 11.4301 | 2000 | 1.7226 |
|
| 72 |
+
| 1.6241 | 12.0 | 2100 | 1.6863 |
|
| 73 |
+
| 1.7169 | 12.5735 | 2200 | 1.6825 |
|
| 74 |
+
| 1.6967 | 13.1434 | 2300 | 1.6728 |
|
| 75 |
+
| 1.6789 | 13.7168 | 2400 | 1.6493 |
|
| 76 |
+
| 1.6691 | 14.2867 | 2500 | 1.6019 |
|
| 77 |
+
| 1.638 | 14.8602 | 2600 | 1.5940 |
|
| 78 |
+
| 1.6197 | 15.4301 | 2700 | 1.5844 |
|
| 79 |
+
| 1.528 | 16.0 | 2800 | 1.5601 |
|
| 80 |
+
| 1.5798 | 16.5735 | 2900 | 1.5408 |
|
| 81 |
+
| 1.5826 | 17.1434 | 3000 | 1.5242 |
|
| 82 |
+
| 1.574 | 17.7168 | 3100 | 1.5151 |
|
| 83 |
+
| 1.5232 | 18.2867 | 3200 | 1.5143 |
|
| 84 |
+
| 1.5085 | 18.8602 | 3300 | 1.4782 |
|
| 85 |
+
| 1.5067 | 19.4301 | 3400 | 1.4793 |
|
| 86 |
+
| 1.4037 | 20.0 | 3500 | 1.4630 |
|
| 87 |
+
| 1.5054 | 20.5735 | 3600 | 1.4492 |
|
| 88 |
+
| 1.4767 | 21.1434 | 3700 | 1.4357 |
|
| 89 |
+
| 1.4615 | 21.7168 | 3800 | 1.4333 |
|
| 90 |
+
| 1.447 | 22.2867 | 3900 | 1.4259 |
|
| 91 |
+
| 1.4334 | 22.8602 | 4000 | 1.4144 |
|
| 92 |
+
| 1.4239 | 23.4301 | 4100 | 1.3902 |
|
| 93 |
+
| 1.3283 | 24.0 | 4200 | 1.4107 |
|
| 94 |
+
| 1.4295 | 24.5735 | 4300 | 1.3801 |
|
| 95 |
+
| 1.404 | 25.1434 | 4400 | 1.3885 |
|
| 96 |
+
| 1.4077 | 25.7168 | 4500 | 1.3706 |
|
| 97 |
+
| 1.3713 | 26.2867 | 4600 | 1.3643 |
|
| 98 |
+
| 1.3882 | 26.8602 | 4700 | 1.3502 |
|
| 99 |
+
| 1.3754 | 27.4301 | 4800 | 1.3437 |
|
| 100 |
+
| 1.28 | 28.0 | 4900 | 1.3424 |
|
| 101 |
+
| 1.3213 | 28.5735 | 5000 | 1.3255 |
|
| 102 |
+
| 1.3425 | 29.1434 | 5100 | 1.3205 |
|
| 103 |
+
| 1.3316 | 29.7168 | 5200 | 1.3156 |
|
| 104 |
+
| 1.3469 | 30.2867 | 5300 | 1.3292 |
|
| 105 |
+
| 1.3317 | 30.8602 | 5400 | 1.3060 |
|
| 106 |
+
| 1.289 | 31.4301 | 5500 | 1.2807 |
|
| 107 |
+
| 1.2013 | 32.0 | 5600 | 1.2901 |
|
| 108 |
+
| 1.268 | 32.5735 | 5700 | 1.3025 |
|
| 109 |
+
| 1.2641 | 33.1434 | 5800 | 1.2911 |
|
| 110 |
+
| 1.2773 | 33.7168 | 5900 | 1.2806 |
|
| 111 |
+
| 1.2659 | 34.2867 | 6000 | 1.2823 |
|
| 112 |
+
| 1.2711 | 34.8602 | 6100 | 1.2575 |
|
| 113 |
+
| 1.2672 | 35.4301 | 6200 | 1.2429 |
|
| 114 |
+
| 1.1686 | 36.0 | 6300 | 1.2619 |
|
| 115 |
+
| 1.2516 | 36.5735 | 6400 | 1.2541 |
|
| 116 |
+
| 1.2495 | 37.1434 | 6500 | 1.2460 |
|
| 117 |
+
| 1.2433 | 37.7168 | 6600 | 1.2363 |
|
| 118 |
+
| 1.2424 | 38.2867 | 6700 | 1.2429 |
|
| 119 |
+
| 1.2296 | 38.8602 | 6800 | 1.2263 |
|
| 120 |
+
| 1.2223 | 39.4301 | 6900 | 1.2115 |
|
| 121 |
+
| 1.149 | 40.0 | 7000 | 1.2165 |
|
| 122 |
+
| 1.2039 | 40.5735 | 7100 | 1.2288 |
|
| 123 |
+
| 1.2211 | 41.1434 | 7200 | 1.2218 |
|
| 124 |
+
| 1.2239 | 41.7168 | 7300 | 1.2066 |
|
| 125 |
+
| 1.2097 | 42.2867 | 7400 | 1.2113 |
|
| 126 |
+
| 1.2168 | 42.8602 | 7500 | 1.2109 |
|
| 127 |
+
| 1.2011 | 43.4301 | 7600 | 1.2005 |
|
| 128 |
+
| 1.0971 | 44.0 | 7700 | 1.2019 |
|
| 129 |
+
| 1.1709 | 44.5735 | 7800 | 1.1876 |
|
| 130 |
+
| 1.1769 | 45.1434 | 7900 | 1.1876 |
|
| 131 |
+
| 1.1601 | 45.7168 | 8000 | 1.1867 |
|
| 132 |
+
| 1.1685 | 46.2867 | 8100 | 1.1769 |
|
| 133 |
+
| 1.1612 | 46.8602 | 8200 | 1.1758 |
|
| 134 |
+
| 1.1749 | 47.4301 | 8300 | 1.1669 |
|
| 135 |
+
| 1.079 | 48.0 | 8400 | 1.1683 |
|
| 136 |
+
| 1.1464 | 48.5735 | 8500 | 1.1847 |
|
| 137 |
+
| 1.1288 | 49.1434 | 8600 | 1.1688 |
|
| 138 |
+
| 1.1479 | 49.7168 | 8700 | 1.1528 |
|
| 139 |
+
| 1.1341 | 50.2867 | 8800 | 1.1695 |
|
| 140 |
+
| 1.1128 | 50.8602 | 8900 | 1.1527 |
|
| 141 |
+
| 1.1444 | 51.4301 | 9000 | 1.1471 |
|
| 142 |
+
| 1.0549 | 52.0 | 9100 | 1.1336 |
|
| 143 |
+
| 1.1243 | 52.5735 | 9200 | 1.1400 |
|
| 144 |
+
| 1.1237 | 53.1434 | 9300 | 1.1362 |
|
| 145 |
+
| 1.125 | 53.7168 | 9400 | 1.1354 |
|
| 146 |
+
| 1.1348 | 54.2867 | 9500 | 1.1416 |
|
| 147 |
+
| 1.1149 | 54.8602 | 9600 | 1.1408 |
|
| 148 |
+
| 1.1002 | 55.4301 | 9700 | 1.1345 |
|
| 149 |
+
| 1.0333 | 56.0 | 9800 | 1.1320 |
|
| 150 |
+
| 1.094 | 56.5735 | 9900 | 1.1419 |
|
| 151 |
+
| 1.0872 | 57.1434 | 10000 | 1.1166 |
|
| 152 |
+
| 1.1046 | 57.7168 | 10100 | 1.1216 |
|
| 153 |
+
| 1.0848 | 58.2867 | 10200 | 1.1197 |
|
| 154 |
+
| 1.0839 | 58.8602 | 10300 | 1.1256 |
|
| 155 |
+
| 1.0813 | 59.4301 | 10400 | 1.1081 |
|
| 156 |
+
| 1.0056 | 60.0 | 10500 | 1.1031 |
|
| 157 |
+
| 1.0708 | 60.5735 | 10600 | 1.1059 |
|
| 158 |
+
| 1.0634 | 61.1434 | 10700 | 1.0942 |
|
| 159 |
+
| 1.0846 | 61.7168 | 10800 | 1.1255 |
|
| 160 |
+
| 1.0706 | 62.2867 | 10900 | 1.1029 |
|
| 161 |
+
| 1.0797 | 62.8602 | 11000 | 1.0944 |
|
| 162 |
+
| 1.0465 | 63.4301 | 11100 | 1.0905 |
|
| 163 |
+
| 0.9935 | 64.0 | 11200 | 1.0973 |
|
| 164 |
+
| 1.0591 | 64.5735 | 11300 | 1.0888 |
|
| 165 |
+
| 1.0622 | 65.1434 | 11400 | 1.0852 |
|
| 166 |
+
| 1.0632 | 65.7168 | 11500 | 1.0906 |
|
| 167 |
+
| 1.0261 | 66.2867 | 11600 | 1.0933 |
|
| 168 |
+
| 1.0483 | 66.8602 | 11700 | 1.0784 |
|
| 169 |
+
| 1.0419 | 67.4301 | 11800 | 1.0906 |
|
| 170 |
+
| 0.9676 | 68.0 | 11900 | 1.0807 |
|
| 171 |
+
| 1.0123 | 68.5735 | 12000 | 1.0855 |
|
| 172 |
+
| 1.0199 | 69.1434 | 12100 | 1.0635 |
|
| 173 |
+
| 1.0273 | 69.7168 | 12200 | 1.0753 |
|
| 174 |
+
| 1.0189 | 70.2867 | 12300 | 1.0641 |
|
| 175 |
+
| 1.05 | 70.8602 | 12400 | 1.0702 |
|
| 176 |
+
| 0.9961 | 71.4301 | 12500 | 1.0482 |
|
| 177 |
+
| 0.9469 | 72.0 | 12600 | 1.0612 |
|
| 178 |
+
| 1.0102 | 72.5735 | 12700 | 1.0671 |
|
| 179 |
+
| 0.9892 | 73.1434 | 12800 | 1.0649 |
|
| 180 |
+
| 1.0044 | 73.7168 | 12900 | 1.0453 |
|
| 181 |
+
| 0.9904 | 74.2867 | 13000 | 1.0556 |
|
| 182 |
+
| 0.9921 | 74.8602 | 13100 | 1.0574 |
|
| 183 |
+
| 0.9873 | 75.4301 | 13200 | 1.0585 |
|
| 184 |
+
| 0.9256 | 76.0 | 13300 | 1.0623 |
|
| 185 |
+
| 0.9993 | 76.5735 | 13400 | 1.0588 |
|
| 186 |
+
| 0.9956 | 77.1434 | 13500 | 1.0665 |
|
| 187 |
+
| 0.98 | 77.7168 | 13600 | 1.0510 |
|
| 188 |
+
| 0.9861 | 78.2867 | 13700 | 1.0490 |
|
| 189 |
+
| 0.9909 | 78.8602 | 13800 | 1.0399 |
|
| 190 |
+
| 0.9912 | 79.4301 | 13900 | 1.0396 |
|
| 191 |
+
| 0.9196 | 80.0 | 14000 | 1.0446 |
|
| 192 |
+
| 0.9807 | 80.5735 | 14100 | 1.0398 |
|
| 193 |
+
| 1.0053 | 81.1434 | 14200 | 1.0461 |
|
| 194 |
+
| 0.987 | 81.7168 | 14300 | 1.0310 |
|
| 195 |
+
| 0.9815 | 82.2867 | 14400 | 1.0556 |
|
| 196 |
+
| 0.9745 | 82.8602 | 14500 | 1.0379 |
|
| 197 |
+
| 0.9646 | 83.4301 | 14600 | 1.0345 |
|
| 198 |
+
| 0.8884 | 84.0 | 14700 | 1.0459 |
|
| 199 |
+
| 0.966 | 84.5735 | 14800 | 1.0437 |
|
| 200 |
+
| 0.9723 | 85.1434 | 14900 | 1.0314 |
|
| 201 |
+
| 0.9487 | 85.7168 | 15000 | 1.0242 |
|
| 202 |
+
| 0.9256 | 86.2867 | 15100 | 1.0338 |
|
| 203 |
+
| 0.9476 | 86.8602 | 15200 | 1.0340 |
|
| 204 |
+
| 0.9751 | 87.4301 | 15300 | 1.0233 |
|
| 205 |
+
| 0.8792 | 88.0 | 15400 | 1.0313 |
|
| 206 |
+
| 0.9371 | 88.5735 | 15500 | 1.0227 |
|
| 207 |
+
| 0.9445 | 89.1434 | 15600 | 1.0335 |
|
| 208 |
+
| 0.9349 | 89.7168 | 15700 | 1.0200 |
|
| 209 |
+
| 0.9259 | 90.2867 | 15800 | 1.0332 |
|
| 210 |
+
| 0.9355 | 90.8602 | 15900 | 1.0219 |
|
| 211 |
+
| 0.9466 | 91.4301 | 16000 | 1.0174 |
|
| 212 |
+
| 0.8758 | 92.0 | 16100 | 1.0180 |
|
| 213 |
+
| 0.9326 | 92.5735 | 16200 | 1.0189 |
|
| 214 |
+
| 0.9348 | 93.1434 | 16300 | 1.0153 |
|
| 215 |
+
| 0.9434 | 93.7168 | 16400 | 1.0201 |
|
| 216 |
+
| 0.9234 | 94.2867 | 16500 | 1.0132 |
|
| 217 |
+
| 0.9171 | 94.8602 | 16600 | 1.0177 |
|
| 218 |
+
| 0.9312 | 95.4301 | 16700 | 1.0037 |
|
| 219 |
+
| 0.8601 | 96.0 | 16800 | 1.0049 |
|
| 220 |
+
| 0.9309 | 96.5735 | 16900 | 1.0085 |
|
| 221 |
+
| 0.9269 | 97.1434 | 17000 | 1.0074 |
|
| 222 |
+
| 0.9222 | 97.7168 | 17100 | 1.0074 |
|
| 223 |
+
| 0.9094 | 98.2867 | 17200 | 1.0111 |
|
| 224 |
+
| 0.9211 | 98.8602 | 17300 | 1.0040 |
|
| 225 |
+
| 0.9048 | 99.4301 | 17400 | 0.9986 |
|
| 226 |
+
| 0.8684 | 100.0 | 17500 | 1.0012 |
|
| 227 |
+
| 0.9042 | 100.5735 | 17600 | 1.0030 |
|
| 228 |
+
| 0.8999 | 101.1434 | 17700 | 0.9970 |
|
| 229 |
+
| 0.8976 | 101.7168 | 17800 | 1.0005 |
|
| 230 |
+
| 0.908 | 102.2867 | 17900 | 1.0153 |
|
| 231 |
+
| 0.9273 | 102.8602 | 18000 | 1.0007 |
|
| 232 |
+
| 0.9099 | 103.4301 | 18100 | 1.0155 |
|
| 233 |
+
| 0.8366 | 104.0 | 18200 | 0.9928 |
|
| 234 |
+
| 0.9035 | 104.5735 | 18300 | 1.0013 |
|
| 235 |
+
| 0.9022 | 105.1434 | 18400 | 0.9823 |
|
| 236 |
+
| 0.8787 | 105.7168 | 18500 | 0.9900 |
|
| 237 |
+
| 0.8967 | 106.2867 | 18600 | 0.9967 |
|
| 238 |
+
| 0.8997 | 106.8602 | 18700 | 0.9810 |
|
| 239 |
+
| 0.8792 | 107.4301 | 18800 | 0.9892 |
|
| 240 |
+
| 0.8417 | 108.0 | 18900 | 0.9939 |
|
| 241 |
+
| 0.9096 | 108.5735 | 19000 | 0.9919 |
|
| 242 |
+
| 0.893 | 109.1434 | 19100 | 0.9800 |
|
| 243 |
+
| 0.8918 | 109.7168 | 19200 | 0.9872 |
|
| 244 |
+
| 0.8842 | 110.2867 | 19300 | 0.9781 |
|
| 245 |
+
| 0.8829 | 110.8602 | 19400 | 0.9727 |
|
| 246 |
+
| 0.877 | 111.4301 | 19500 | 0.9789 |
|
| 247 |
+
| 0.8189 | 112.0 | 19600 | 0.9725 |
|
| 248 |
+
| 0.8775 | 112.5735 | 19700 | 0.9719 |
|
| 249 |
+
| 0.8948 | 113.1434 | 19800 | 0.9760 |
|
| 250 |
+
| 0.8737 | 113.7168 | 19900 | 0.9764 |
|
| 251 |
+
| 0.8912 | 114.2867 | 20000 | 0.9862 |
|
| 252 |
+
| 0.8566 | 114.8602 | 20100 | 0.9792 |
|
| 253 |
+
| 0.8736 | 115.4301 | 20200 | 0.9734 |
|
| 254 |
+
| 0.8329 | 116.0 | 20300 | 0.9783 |
|
| 255 |
+
| 0.8681 | 116.5735 | 20400 | 0.9779 |
|
| 256 |
+
| 0.8698 | 117.1434 | 20500 | 0.9787 |
|
| 257 |
+
| 0.8773 | 117.7168 | 20600 | 0.9831 |
|
| 258 |
+
| 0.8449 | 118.2867 | 20700 | 0.9831 |
|
| 259 |
+
| 0.8678 | 118.8602 | 20800 | 0.9805 |
|
| 260 |
+
| 0.8723 | 119.4301 | 20900 | 0.9700 |
|
| 261 |
+
| 0.81 | 120.0 | 21000 | 0.9756 |
|
| 262 |
+
| 0.862 | 120.5735 | 21100 | 0.9636 |
|
| 263 |
+
| 0.8809 | 121.1434 | 21200 | 0.9656 |
|
| 264 |
+
| 0.8667 | 121.7168 | 21300 | 0.9775 |
|
| 265 |
+
| 0.8621 | 122.2867 | 21400 | 0.9783 |
|
| 266 |
+
| 0.8462 | 122.8602 | 21500 | 0.9835 |
|
| 267 |
+
| 0.8683 | 123.4301 | 21600 | 0.9563 |
|
| 268 |
+
| 0.81 | 124.0 | 21700 | 0.9677 |
|
| 269 |
+
| 0.8653 | 124.5735 | 21800 | 0.9667 |
|
| 270 |
+
| 0.8493 | 125.1434 | 21900 | 0.9736 |
|
| 271 |
+
| 0.8487 | 125.7168 | 22000 | 0.9720 |
|
| 272 |
+
| 0.8503 | 126.2867 | 22100 | 0.9608 |
|
| 273 |
+
| 0.8489 | 126.8602 | 22200 | 0.9589 |
|
| 274 |
+
| 0.854 | 127.4301 | 22300 | 0.9677 |
|
| 275 |
+
| 0.7963 | 128.0 | 22400 | 0.9673 |
|
| 276 |
+
| 0.8413 | 128.5735 | 22500 | 0.9698 |
|
| 277 |
+
| 0.85 | 129.1434 | 22600 | 0.9618 |
|
| 278 |
+
| 0.854 | 129.7168 | 22700 | 0.9586 |
|
| 279 |
+
| 0.8281 | 130.2867 | 22800 | 0.9559 |
|
| 280 |
+
| 0.842 | 130.8602 | 22900 | 0.9647 |
|
| 281 |
+
| 0.8478 | 131.4301 | 23000 | 0.9571 |
|
| 282 |
+
| 0.7832 | 132.0 | 23100 | 0.9537 |
|
| 283 |
+
| 0.8273 | 132.5735 | 23200 | 0.9626 |
|
| 284 |
+
| 0.8444 | 133.1434 | 23300 | 0.9494 |
|
| 285 |
+
| 0.84 | 133.7168 | 23400 | 0.9626 |
|
| 286 |
+
| 0.8286 | 134.2867 | 23500 | 0.9703 |
|
| 287 |
+
| 0.8217 | 134.8602 | 23600 | 0.9563 |
|
| 288 |
+
| 0.8219 | 135.4301 | 23700 | 0.9604 |
|
| 289 |
+
| 0.7711 | 136.0 | 23800 | 0.9500 |
|
| 290 |
+
| 0.8367 | 136.5735 | 23900 | 0.9629 |
|
| 291 |
+
| 0.8372 | 137.1434 | 24000 | 0.9467 |
|
| 292 |
+
| 0.8189 | 137.7168 | 24100 | 0.9539 |
|
| 293 |
+
| 0.8292 | 138.2867 | 24200 | 0.9647 |
|
| 294 |
+
| 0.8318 | 138.8602 | 24300 | 0.9468 |
|
| 295 |
+
| 0.822 | 139.4301 | 24400 | 0.9606 |
|
| 296 |
+
| 0.782 | 140.0 | 24500 | 0.9558 |
|
| 297 |
+
| 0.8351 | 140.5735 | 24600 | 0.9548 |
|
| 298 |
+
| 0.8216 | 141.1434 | 24700 | 0.9392 |
|
| 299 |
+
| 0.821 | 141.7168 | 24800 | 0.9453 |
|
| 300 |
+
| 0.8253 | 142.2867 | 24900 | 0.9532 |
|
| 301 |
+
| 0.8162 | 142.8602 | 25000 | 0.9546 |
|
| 302 |
+
| 0.8241 | 143.4301 | 25100 | 0.9574 |
|
| 303 |
+
| 0.7874 | 144.0 | 25200 | 0.9341 |
|
| 304 |
+
| 0.819 | 144.5735 | 25300 | 0.9518 |
|
| 305 |
+
| 0.8229 | 145.1434 | 25400 | 0.9488 |
|
| 306 |
+
| 0.8217 | 145.7168 | 25500 | 0.9504 |
|
| 307 |
+
| 0.8258 | 146.2867 | 25600 | 0.9554 |
|
| 308 |
+
| 0.8151 | 146.8602 | 25700 | 0.9482 |
|
| 309 |
+
| 0.8142 | 147.4301 | 25800 | 0.9434 |
|
| 310 |
+
| 0.7571 | 148.0 | 25900 | 0.9497 |
|
| 311 |
+
| 0.8056 | 148.5735 | 26000 | 0.9519 |
|
| 312 |
+
| 0.8057 | 149.1434 | 26100 | 0.9618 |
|
| 313 |
+
| 0.8075 | 149.7168 | 26200 | 0.9451 |
|
| 314 |
+
| 0.8191 | 150.2867 | 26300 | 0.9347 |
|
| 315 |
+
| 0.8331 | 150.8602 | 26400 | 0.9492 |
|
| 316 |
+
| 0.8131 | 151.4301 | 26500 | 0.9430 |
|
| 317 |
+
| 0.7747 | 152.0 | 26600 | 0.9537 |
|
| 318 |
+
| 0.8027 | 152.5735 | 26700 | 0.9401 |
|
| 319 |
+
| 0.7892 | 153.1434 | 26800 | 0.9487 |
|
| 320 |
+
| 0.8059 | 153.7168 | 26900 | 0.9479 |
|
| 321 |
+
| 0.812 | 154.2867 | 27000 | 0.9470 |
|
| 322 |
+
| 0.8134 | 154.8602 | 27100 | 0.9448 |
|
| 323 |
+
| 0.8058 | 155.4301 | 27200 | 0.9476 |
|
| 324 |
+
| 0.7451 | 156.0 | 27300 | 0.9610 |
|
| 325 |
+
| 0.804 | 156.5735 | 27400 | 0.9518 |
|
| 326 |
+
| 0.8057 | 157.1434 | 27500 | 0.9434 |
|
| 327 |
+
| 0.7978 | 157.7168 | 27600 | 0.9413 |
|
| 328 |
+
| 0.8098 | 158.2867 | 27700 | 0.9449 |
|
| 329 |
+
| 0.8145 | 158.8602 | 27800 | 0.9413 |
|
| 330 |
+
| 0.8133 | 159.4301 | 27900 | 0.9355 |
|
| 331 |
+
| 0.7452 | 160.0 | 28000 | 0.9395 |
|
| 332 |
+
| 0.7987 | 160.5735 | 28100 | 0.9441 |
|
| 333 |
+
| 0.8035 | 161.1434 | 28200 | 0.9230 |
|
| 334 |
+
| 0.7959 | 161.7168 | 28300 | 0.9393 |
|
| 335 |
+
| 0.8012 | 162.2867 | 28400 | 0.9363 |
|
| 336 |
+
| 0.7949 | 162.8602 | 28500 | 0.9481 |
|
| 337 |
+
| 0.7891 | 163.4301 | 28600 | 0.9365 |
|
| 338 |
+
| 0.7491 | 164.0 | 28700 | 0.9327 |
|
| 339 |
+
| 0.7905 | 164.5735 | 28800 | 0.9407 |
|
| 340 |
+
| 0.8002 | 165.1434 | 28900 | 0.9376 |
|
| 341 |
+
| 0.7994 | 165.7168 | 29000 | 0.9368 |
|
| 342 |
+
| 0.7922 | 166.2867 | 29100 | 0.9261 |
|
| 343 |
+
| 0.7948 | 166.8602 | 29200 | 0.9472 |
|
| 344 |
+
| 0.784 | 167.4301 | 29300 | 0.9341 |
|
| 345 |
+
| 0.7446 | 168.0 | 29400 | 0.9335 |
|
| 346 |
+
| 0.7749 | 168.5735 | 29500 | 0.9355 |
|
| 347 |
+
| 0.7947 | 169.1434 | 29600 | 0.9289 |
|
| 348 |
+
| 0.7871 | 169.7168 | 29700 | 0.9283 |
|
| 349 |
+
| 0.7895 | 170.2867 | 29800 | 0.9319 |
|
| 350 |
+
| 0.7923 | 170.8602 | 29900 | 0.9397 |
|
| 351 |
+
| 0.797 | 171.4301 | 30000 | 0.9403 |
|
| 352 |
+
| 0.7431 | 172.0 | 30100 | 0.9384 |
|
| 353 |
+
| 0.7844 | 172.5735 | 30200 | 0.9321 |
|
| 354 |
+
| 0.8013 | 173.1434 | 30300 | 0.9340 |
|
| 355 |
+
| 0.7918 | 173.7168 | 30400 | 0.9306 |
|
| 356 |
+
| 0.7927 | 174.2867 | 30500 | 0.9282 |
|
| 357 |
+
| 0.7903 | 174.8602 | 30600 | 0.9332 |
|
| 358 |
+
| 0.7842 | 175.4301 | 30700 | 0.9376 |
|
| 359 |
+
| 0.7352 | 176.0 | 30800 | 0.9210 |
|
| 360 |
+
| 0.7861 | 176.5735 | 30900 | 0.9437 |
|
| 361 |
+
| 0.7711 | 177.1434 | 31000 | 0.9321 |
|
| 362 |
+
| 0.7751 | 177.7168 | 31100 | 0.9344 |
|
| 363 |
+
| 0.7845 | 178.2867 | 31200 | 0.9367 |
|
| 364 |
+
| 0.7945 | 178.8602 | 31300 | 0.9243 |
|
| 365 |
+
| 0.7851 | 179.4301 | 31400 | 0.9300 |
|
| 366 |
+
| 0.7442 | 180.0 | 31500 | 0.9381 |
|
| 367 |
+
| 0.793 | 180.5735 | 31600 | 0.9348 |
|
| 368 |
+
| 0.7811 | 181.1434 | 31700 | 0.9358 |
|
| 369 |
+
| 0.7918 | 181.7168 | 31800 | 0.9429 |
|
| 370 |
+
| 0.7726 | 182.2867 | 31900 | 0.9383 |
|
| 371 |
+
| 0.7792 | 182.8602 | 32000 | 0.9199 |
|
| 372 |
+
| 0.7801 | 183.4301 | 32100 | 0.9292 |
|
| 373 |
+
| 0.7362 | 184.0 | 32200 | 0.9236 |
|
| 374 |
+
| 0.7828 | 184.5735 | 32300 | 0.9363 |
|
| 375 |
+
| 0.7822 | 185.1434 | 32400 | 0.9270 |
|
| 376 |
+
| 0.7694 | 185.7168 | 32500 | 0.9301 |
|
| 377 |
+
| 0.7655 | 186.2867 | 32600 | 0.9319 |
|
| 378 |
+
| 0.7812 | 186.8602 | 32700 | 0.9238 |
|
| 379 |
+
| 0.7854 | 187.4301 | 32800 | 0.9343 |
|
| 380 |
+
| 0.7198 | 188.0 | 32900 | 0.9266 |
|
| 381 |
+
| 0.791 | 188.5735 | 33000 | 0.9298 |
|
| 382 |
+
| 0.7711 | 189.1434 | 33100 | 0.9257 |
|
| 383 |
+
| 0.7841 | 189.7168 | 33200 | 0.9358 |
|
| 384 |
+
| 0.7806 | 190.2867 | 33300 | 0.9350 |
|
| 385 |
+
| 0.7759 | 190.8602 | 33400 | 0.9311 |
|
| 386 |
+
| 0.7789 | 191.4301 | 33500 | 0.9366 |
|
| 387 |
+
| 0.7227 | 192.0 | 33600 | 0.9307 |
|
| 388 |
+
| 0.7702 | 192.5735 | 33700 | 0.9264 |
|
| 389 |
+
| 0.7742 | 193.1434 | 33800 | 0.9202 |
|
| 390 |
+
| 0.7521 | 193.7168 | 33900 | 0.9279 |
|
| 391 |
+
| 0.7662 | 194.2867 | 34000 | 0.9226 |
|
| 392 |
+
| 0.7701 | 194.8602 | 34100 | 0.9370 |
|
| 393 |
+
| 0.7745 | 195.4301 | 34200 | 0.9351 |
|
| 394 |
+
| 0.7243 | 196.0 | 34300 | 0.9123 |
|
| 395 |
+
| 0.7681 | 196.5735 | 34400 | 0.9286 |
|
| 396 |
+
| 0.7897 | 197.1434 | 34500 | 0.9271 |
|
| 397 |
+
| 0.7809 | 197.7168 | 34600 | 0.9109 |
|
| 398 |
+
| 0.7897 | 198.2867 | 34700 | 0.9388 |
|
| 399 |
+
| 0.7786 | 198.8602 | 34800 | 0.9385 |
|
| 400 |
|
| 401 |
|
| 402 |
### Framework versions
|
| 403 |
|
| 404 |
+
- Transformers 4.51.3
|
| 405 |
+
- Pytorch 2.7.0+cu126
|
| 406 |
- Datasets 3.5.0
|
| 407 |
- Tokenizers 0.21.1
|
config.json
CHANGED
|
@@ -8,19 +8,19 @@
|
|
| 8 |
"eos_token_id": 2,
|
| 9 |
"hidden_act": "gelu",
|
| 10 |
"hidden_dropout_prob": 0.1,
|
| 11 |
-
"hidden_size":
|
| 12 |
"initializer_range": 0.02,
|
| 13 |
"intermediate_size": 3072,
|
| 14 |
"layer_norm_eps": 1e-12,
|
| 15 |
"max_position_embeddings": 514,
|
| 16 |
"model_type": "roberta",
|
| 17 |
-
"num_attention_heads":
|
| 18 |
-
"num_hidden_layers":
|
| 19 |
"pad_token_id": 1,
|
| 20 |
"position_embedding_type": "absolute",
|
| 21 |
"torch_dtype": "float32",
|
| 22 |
-
"transformers_version": "4.
|
| 23 |
"type_vocab_size": 1,
|
| 24 |
"use_cache": true,
|
| 25 |
-
"vocab_size":
|
| 26 |
}
|
|
|
|
| 8 |
"eos_token_id": 2,
|
| 9 |
"hidden_act": "gelu",
|
| 10 |
"hidden_dropout_prob": 0.1,
|
| 11 |
+
"hidden_size": 768,
|
| 12 |
"initializer_range": 0.02,
|
| 13 |
"intermediate_size": 3072,
|
| 14 |
"layer_norm_eps": 1e-12,
|
| 15 |
"max_position_embeddings": 514,
|
| 16 |
"model_type": "roberta",
|
| 17 |
+
"num_attention_heads": 12,
|
| 18 |
+
"num_hidden_layers": 6,
|
| 19 |
"pad_token_id": 1,
|
| 20 |
"position_embedding_type": "absolute",
|
| 21 |
"torch_dtype": "float32",
|
| 22 |
+
"transformers_version": "4.51.3",
|
| 23 |
"type_vocab_size": 1,
|
| 24 |
"use_cache": true,
|
| 25 |
+
"vocab_size": 52000
|
| 26 |
}
|
model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
-
size
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:69c04623d3a73b5516507a5cc75851da532d06a226b18944ba7e83e251cef096
|
| 3 |
+
size 334030264
|
training_args.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
-
size
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:6028cc41a7efd85a7240e6cc37441cc0de92cf225003da4c39c3751487539732
|
| 3 |
+
size 5777
|