distilbert_secondtry_model
This model is a fine-tuned version of distilbert-base-uncased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.4593
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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 391 | 0.4336 |
| 0.5475 | 2.0 | 782 | 0.4294 |
| 0.3436 | 3.0 | 1173 | 0.4593 |
Framework versions
- Transformers 4.32.1
- Pytorch 2.3.0.dev20240129
- Datasets 2.14.6
- Tokenizers 0.13.2
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