N_roberta_imdb_padding100model
This model is a fine-tuned version of roberta-base on the imdb dataset. It achieves the following results on the evaluation set:
- Loss: 0.4217
- Accuracy: 0.9496
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 |
|---|---|---|---|---|
| 0.2097 | 1.0 | 1563 | 0.1893 | 0.9421 |
| 0.1725 | 2.0 | 3126 | 0.1588 | 0.9470 |
| 0.1091 | 3.0 | 4689 | 0.2349 | 0.9444 |
| 0.0796 | 4.0 | 6252 | 0.2474 | 0.9435 |
| 0.0543 | 5.0 | 7815 | 0.2866 | 0.9453 |
| 0.0387 | 6.0 | 9378 | 0.3219 | 0.9452 |
| 0.0252 | 7.0 | 10941 | 0.3410 | 0.9443 |
| 0.0278 | 8.0 | 12504 | 0.3811 | 0.9447 |
| 0.0234 | 9.0 | 14067 | 0.3518 | 0.9459 |
| 0.0177 | 10.0 | 15630 | 0.3733 | 0.9437 |
| 0.0247 | 11.0 | 17193 | 0.3569 | 0.9481 |
| 0.0118 | 12.0 | 18756 | 0.3711 | 0.9441 |
| 0.0166 | 13.0 | 20319 | 0.3597 | 0.9470 |
| 0.0109 | 14.0 | 21882 | 0.4184 | 0.9498 |
| 0.0046 | 15.0 | 23445 | 0.4363 | 0.9438 |
| 0.0046 | 16.0 | 25008 | 0.4597 | 0.9467 |
| 0.0057 | 17.0 | 26571 | 0.4282 | 0.9481 |
| 0.0045 | 18.0 | 28134 | 0.4345 | 0.9482 |
| 0.0056 | 19.0 | 29697 | 0.4097 | 0.9493 |
| 0.0022 | 20.0 | 31260 | 0.4217 | 0.9496 |
Framework versions
- Transformers 4.33.2
- Pytorch 2.0.1+cu117
- Datasets 2.14.5
- Tokenizers 0.13.3