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DistilRoBERTa-Application_3
This model is a fine-tuned version of EgilKarlsen/DistilRoBERTa-Application_3 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.3891
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 |
|---|---|---|---|
| 0.2291 | 1.0 | 45000 | 0.4305 |
| 0.2225 | 2.0 | 90000 | 0.4067 |
| 0.2194 | 3.0 | 135000 | 0.3950 |
| 0.2033 | 4.0 | 180000 | 0.3910 |
| 0.1887 | 5.0 | 225000 | 0.3892 |
Framework versions
- Transformers 4.31.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3
