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results
This model is a fine-tuned version of bert-base-uncased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.2987
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 40
- eval_batch_size: 40
- seed: 177
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 50
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.5905 | 1.0 | 11 | 0.5883 |
| 0.5278 | 2.0 | 22 | 0.5024 |
| 0.4687 | 3.0 | 33 | 0.4576 |
| 0.4869 | 4.0 | 44 | 0.4277 |
| 0.3638 | 5.0 | 55 | 0.4078 |
| 0.4434 | 6.0 | 66 | 0.3916 |
| 0.3955 | 7.0 | 77 | 0.3789 |
| 0.3317 | 8.0 | 88 | 0.3693 |
| 0.4163 | 9.0 | 99 | 0.3624 |
| 0.3599 | 10.0 | 110 | 0.3533 |
| 0.3962 | 11.0 | 121 | 0.3550 |
| 0.3319 | 12.0 | 132 | 0.3445 |
| 0.3444 | 13.0 | 143 | 0.3436 |
| 0.2729 | 14.0 | 154 | 0.3386 |
| 0.2452 | 15.0 | 165 | 0.3327 |
| 0.3195 | 16.0 | 176 | 0.3307 |
| 0.3387 | 17.0 | 187 | 0.3300 |
| 0.319 | 18.0 | 198 | 0.3258 |
| 0.3282 | 19.0 | 209 | 0.3231 |
| 0.2872 | 20.0 | 220 | 0.3225 |
| 0.2926 | 21.0 | 231 | 0.3179 |
| 0.2602 | 22.0 | 242 | 0.3166 |
| 0.3175 | 23.0 | 253 | 0.3144 |
| 0.2452 | 24.0 | 264 | 0.3139 |
| 0.2785 | 25.0 | 275 | 0.3133 |
| 0.2656 | 26.0 | 286 | 0.3100 |
| 0.2774 | 27.0 | 297 | 0.3096 |
| 0.2347 | 28.0 | 308 | 0.3081 |
| 0.2748 | 29.0 | 319 | 0.3086 |
| 0.2724 | 30.0 | 330 | 0.3078 |
| 0.2695 | 31.0 | 341 | 0.3065 |
| 0.1978 | 32.0 | 352 | 0.3065 |
| 0.2492 | 33.0 | 363 | 0.3041 |
| 0.2488 | 34.0 | 374 | 0.3040 |
| 0.2542 | 35.0 | 385 | 0.3035 |
| 0.2166 | 36.0 | 396 | 0.3027 |
| 0.2049 | 37.0 | 407 | 0.3030 |
| 0.2145 | 38.0 | 418 | 0.2997 |
| 0.2222 | 39.0 | 429 | 0.3006 |
| 0.2299 | 40.0 | 440 | 0.2999 |
| 0.2433 | 41.0 | 451 | 0.2992 |
| 0.1837 | 42.0 | 462 | 0.2999 |
| 0.2218 | 43.0 | 473 | 0.2989 |
| 0.2174 | 44.0 | 484 | 0.3001 |
| 0.215 | 45.0 | 495 | 0.2992 |
| 0.208 | 46.0 | 506 | 0.2992 |
| 0.1957 | 47.0 | 517 | 0.2986 |
| 0.2106 | 48.0 | 528 | 0.2989 |
| 0.2311 | 49.0 | 539 | 0.2988 |
| 0.2501 | 50.0 | 550 | 0.2987 |
Framework versions
- Transformers 4.34.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.14.1
