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roberta-base
This model is a fine-tuned version of roberta-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.1585
- Accuracy: 0.9762
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: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.2838 | 1.0 | 3492 | 0.2001 | 0.9628 |
| 0.1463 | 2.0 | 6984 | 0.1663 | 0.9725 |
| 0.0922 | 3.0 | 10476 | 0.1962 | 0.9728 |
| 0.081 | 4.0 | 13968 | 0.1684 | 0.9725 |
| 0.0487 | 5.0 | 17460 | 0.1585 | 0.9762 |
| 0.0443 | 6.0 | 20952 | 0.1707 | 0.9762 |
| 0.0216 | 7.0 | 24444 | 0.1984 | 0.9765 |
| 0.0341 | 8.0 | 27936 | 0.1892 | 0.9751 |
Framework versions
- Transformers 4.28.0
- Pytorch 2.0.0
- Datasets 2.1.0
- Tokenizers 0.13.3
