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RoBERTa-CSIC
This model is a fine-tuned version of roberta-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.5288
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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.683 | 1.0 | 7247 | 0.5837 |
| 0.5867 | 2.0 | 14494 | 0.5533 |
| 0.5646 | 3.0 | 21741 | 0.5399 |
| 0.5498 | 4.0 | 28988 | 0.5380 |
| 0.5334 | 5.0 | 36235 | 0.5305 |
Framework versions
- Transformers 4.32.1
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3
