distilroberta-base-wikitextepoch_50
This model is a fine-tuned version of distilroberta-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.6360
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: 8
- eval_batch_size: 8
- seed: 42
- 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 |
|---|---|---|---|
| 1.9729 | 1.0 | 2145 | 1.7725 |
| 1.9158 | 2.0 | 4290 | 1.7521 |
| 1.8479 | 3.0 | 6435 | 1.7376 |
| 1.8081 | 4.0 | 8580 | 1.7272 |
| 1.7966 | 5.0 | 10725 | 1.7018 |
| 1.7284 | 6.0 | 12870 | 1.7010 |
| 1.7198 | 7.0 | 15015 | 1.6868 |
| 1.6985 | 8.0 | 17160 | 1.6879 |
| 1.6712 | 9.0 | 19305 | 1.6930 |
| 1.6489 | 10.0 | 21450 | 1.6594 |
| 1.6643 | 11.0 | 23595 | 1.6856 |
| 1.6215 | 12.0 | 25740 | 1.6816 |
| 1.6125 | 13.0 | 27885 | 1.6714 |
| 1.5936 | 14.0 | 30030 | 1.6760 |
| 1.5745 | 15.0 | 32175 | 1.6660 |
| 1.572 | 16.0 | 34320 | 1.6690 |
| 1.5614 | 17.0 | 36465 | 1.6807 |
| 1.558 | 18.0 | 38610 | 1.6711 |
| 1.5305 | 19.0 | 40755 | 1.6446 |
| 1.5021 | 20.0 | 42900 | 1.6573 |
| 1.4923 | 21.0 | 45045 | 1.6648 |
| 1.5086 | 22.0 | 47190 | 1.6757 |
| 1.4895 | 23.0 | 49335 | 1.6525 |
| 1.4918 | 24.0 | 51480 | 1.6577 |
| 1.4642 | 25.0 | 53625 | 1.6633 |
| 1.4604 | 26.0 | 55770 | 1.6462 |
| 1.4644 | 27.0 | 57915 | 1.6509 |
| 1.4633 | 28.0 | 60060 | 1.6417 |
| 1.4188 | 29.0 | 62205 | 1.6519 |
| 1.4066 | 30.0 | 64350 | 1.6363 |
| 1.409 | 31.0 | 66495 | 1.6419 |
| 1.4029 | 32.0 | 68640 | 1.6510 |
| 1.4013 | 33.0 | 70785 | 1.6522 |
| 1.3939 | 34.0 | 72930 | 1.6498 |
| 1.3648 | 35.0 | 75075 | 1.6423 |
| 1.3682 | 36.0 | 77220 | 1.6504 |
| 1.3603 | 37.0 | 79365 | 1.6511 |
| 1.3621 | 38.0 | 81510 | 1.6533 |
| 1.3783 | 39.0 | 83655 | 1.6426 |
| 1.3707 | 40.0 | 85800 | 1.6542 |
| 1.3628 | 41.0 | 87945 | 1.6671 |
| 1.3359 | 42.0 | 90090 | 1.6394 |
| 1.3433 | 43.0 | 92235 | 1.6409 |
| 1.3525 | 44.0 | 94380 | 1.6366 |
| 1.3312 | 45.0 | 96525 | 1.6408 |
| 1.3389 | 46.0 | 98670 | 1.6225 |
| 1.3323 | 47.0 | 100815 | 1.6309 |
| 1.3294 | 48.0 | 102960 | 1.6151 |
| 1.3356 | 49.0 | 105105 | 1.6374 |
| 1.3285 | 50.0 | 107250 | 1.6360 |
Framework versions
- Transformers 4.21.0
- Pytorch 1.5.0
- Datasets 2.4.0
- Tokenizers 0.12.1
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