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DistilRoBERTa-Application
This model is a fine-tuned version of distilroberta-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.3282
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 |
|---|---|---|---|
| 0.5327 | 1.0 | 14950 | 0.3913 |
| 0.3462 | 2.0 | 29900 | 0.3476 |
| 0.2926 | 3.0 | 44850 | 0.3395 |
| 0.2674 | 4.0 | 59800 | 0.3315 |
| 0.2523 | 5.0 | 74750 | 0.3241 |
Framework versions
- Transformers 4.32.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3
