N_roberta_agnews_padding0model
This model is a fine-tuned version of roberta-base on the ag_news dataset. It achieves the following results on the evaluation set:
- Loss: 0.5421
- Accuracy: 0.9501
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 |
|---|---|---|---|---|
| 0.1929 | 1.0 | 7500 | 0.2180 | 0.9363 |
| 0.1646 | 2.0 | 15000 | 0.2092 | 0.9455 |
| 0.1502 | 3.0 | 22500 | 0.2136 | 0.9478 |
| 0.1217 | 4.0 | 30000 | 0.2395 | 0.9476 |
| 0.1008 | 5.0 | 37500 | 0.2357 | 0.9501 |
| 0.0789 | 6.0 | 45000 | 0.3286 | 0.9420 |
| 0.0625 | 7.0 | 52500 | 0.3378 | 0.9439 |
| 0.0546 | 8.0 | 60000 | 0.4044 | 0.9443 |
| 0.0434 | 9.0 | 67500 | 0.4361 | 0.9412 |
| 0.0321 | 10.0 | 75000 | 0.4044 | 0.9453 |
| 0.0254 | 11.0 | 82500 | 0.4670 | 0.9455 |
| 0.0302 | 12.0 | 90000 | 0.4657 | 0.9438 |
| 0.0224 | 13.0 | 97500 | 0.4942 | 0.9432 |
| 0.0085 | 14.0 | 105000 | 0.5315 | 0.9449 |
| 0.0053 | 15.0 | 112500 | 0.5283 | 0.9455 |
| 0.01 | 16.0 | 120000 | 0.5004 | 0.9466 |
| 0.0061 | 17.0 | 127500 | 0.5430 | 0.9458 |
| 0.0042 | 18.0 | 135000 | 0.5116 | 0.9486 |
| 0.0034 | 19.0 | 142500 | 0.5379 | 0.9491 |
| 0.0022 | 20.0 | 150000 | 0.5421 | 0.9501 |
Framework versions
- Transformers 4.33.2
- Pytorch 2.0.1+cu117
- Datasets 2.14.5
- Tokenizers 0.13.3