N_roberta_agnews_padding10model
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: 0.5342
- Accuracy: 0.9507
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 |
|---|---|---|---|---|
| 0.1973 | 1.0 | 7500 | 0.2025 | 0.9403 |
| 0.1674 | 2.0 | 15000 | 0.1876 | 0.9471 |
| 0.1488 | 3.0 | 22500 | 0.2367 | 0.9446 |
| 0.1213 | 4.0 | 30000 | 0.2451 | 0.9461 |
| 0.0942 | 5.0 | 37500 | 0.2545 | 0.9464 |
| 0.0842 | 6.0 | 45000 | 0.3061 | 0.9446 |
| 0.0718 | 7.0 | 52500 | 0.2821 | 0.9476 |
| 0.0562 | 8.0 | 60000 | 0.4124 | 0.9443 |
| 0.0387 | 9.0 | 67500 | 0.4309 | 0.9409 |
| 0.0299 | 10.0 | 75000 | 0.4162 | 0.9470 |
| 0.028 | 11.0 | 82500 | 0.4086 | 0.9479 |
| 0.026 | 12.0 | 90000 | 0.4091 | 0.9466 |
| 0.0205 | 13.0 | 97500 | 0.4481 | 0.9457 |
| 0.0124 | 14.0 | 105000 | 0.4895 | 0.9453 |
| 0.0093 | 15.0 | 112500 | 0.5086 | 0.9463 |
| 0.0075 | 16.0 | 120000 | 0.4911 | 0.9487 |
| 0.0068 | 17.0 | 127500 | 0.4924 | 0.9496 |
| 0.0023 | 18.0 | 135000 | 0.5008 | 0.9503 |
| 0.0014 | 19.0 | 142500 | 0.5251 | 0.9505 |
| 0.0049 | 20.0 | 150000 | 0.5342 | 0.9507 |
Framework versions
- Transformers 4.33.2
- Pytorch 2.0.1+cu117
- Datasets 2.14.5
- Tokenizers 0.13.3