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DistilRoBERTa-Application_5
This model is a fine-tuned version of distilroberta-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.5292
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 |
|---|---|---|---|
| 2.3309 | 1.0 | 11250 | 1.3665 |
| 1.172 | 2.0 | 22500 | 0.8067 |
| 0.7711 | 3.0 | 33750 | 0.6126 |
| 0.639 | 4.0 | 45000 | 0.5536 |
| 0.5871 | 5.0 | 56250 | 0.5262 |
Framework versions
- Transformers 4.31.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3
