N_roberta_imdb_padding10model
This model is a fine-tuned version of roberta-base on the imdb dataset. It achieves the following results on the evaluation set:
- Loss: 0.5407
- Accuracy: 0.9524
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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 20
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.2113 | 1.0 | 1563 | 0.2381 | 0.9337 |
| 0.1641 | 2.0 | 3126 | 0.1671 | 0.9498 |
| 0.1084 | 3.0 | 4689 | 0.2624 | 0.9476 |
| 0.0731 | 4.0 | 6252 | 0.2613 | 0.9496 |
| 0.0488 | 5.0 | 7815 | 0.3130 | 0.9481 |
| 0.0398 | 6.0 | 9378 | 0.3571 | 0.9473 |
| 0.0254 | 7.0 | 10941 | 0.3278 | 0.9494 |
| 0.0282 | 8.0 | 12504 | 0.4027 | 0.9466 |
| 0.0214 | 9.0 | 14067 | 0.3643 | 0.9493 |
| 0.0151 | 10.0 | 15630 | 0.4171 | 0.9495 |
| 0.0146 | 11.0 | 17193 | 0.4385 | 0.9505 |
| 0.0075 | 12.0 | 18756 | 0.4331 | 0.9523 |
| 0.0133 | 13.0 | 20319 | 0.3997 | 0.952 |
| 0.0053 | 14.0 | 21882 | 0.4604 | 0.9530 |
| 0.0044 | 15.0 | 23445 | 0.4686 | 0.952 |
| 0.0003 | 16.0 | 25008 | 0.5177 | 0.9508 |
| 0.0028 | 17.0 | 26571 | 0.5353 | 0.9514 |
| 0.0012 | 18.0 | 28134 | 0.5197 | 0.9525 |
| 0.0001 | 19.0 | 29697 | 0.5354 | 0.9519 |
| 0.0006 | 20.0 | 31260 | 0.5407 | 0.9524 |
Framework versions
- Transformers 4.33.2
- Pytorch 2.0.1+cu117
- Datasets 2.14.5
- Tokenizers 0.13.3