distilroberta-topic-classification_4
This model is a fine-tuned version of distilroberta-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 3.5428
- Acc: 0.7557
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: 5e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 12345
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 16
- num_epochs: 20
- mixed_precision_training: Native AMP
- label_smoothing_factor: 0.5
Training results
| Training Loss | Epoch | Step | Validation Loss | Acc |
|---|---|---|---|---|
| 3.6261 | 1.0 | 564 | 3.6045 | 0.6610 |
| 3.5223 | 2.0 | 1128 | 3.5326 | 0.7111 |
| 3.4204 | 3.0 | 1692 | 3.5040 | 0.7322 |
| 3.3446 | 4.0 | 2256 | 3.4980 | 0.7400 |
| 3.2737 | 5.0 | 2820 | 3.4872 | 0.7539 |
| 3.2533 | 6.0 | 3384 | 3.4967 | 0.7555 |
| 3.2059 | 7.0 | 3948 | 3.5038 | 0.7613 |
| 3.1697 | 8.0 | 4512 | 3.5258 | 0.7537 |
| 3.1439 | 9.0 | 5076 | 3.5311 | 0.7573 |
| 3.1426 | 10.0 | 5640 | 3.5334 | 0.7544 |
| 3.1325 | 11.0 | 6204 | 3.5311 | 0.7562 |
| 3.1165 | 12.0 | 6768 | 3.5428 | 0.7557 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0