distilbertfinetuneHS5E8BHLRVHS
This model is a fine-tuned version of distilbert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.6647
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 |
|---|---|---|---|
| 1.7886 | 1.0 | 1000 | 1.5221 |
| 1.1733 | 2.0 | 2000 | 1.3578 |
| 0.8003 | 3.0 | 3000 | 1.3842 |
| 0.5553 | 4.0 | 4000 | 1.5867 |
| 0.4178 | 5.0 | 5000 | 1.6647 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
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