results
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: 0.1194
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: 1e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.1428 | 1.0 | 510 | 0.1347 |
| 0.0985 | 2.0 | 1020 | 0.1189 |
| 0.0763 | 3.0 | 1530 | 0.1172 |
| 0.0646 | 4.0 | 2040 | 0.1194 |
Framework versions
- Transformers 4.18.0
- Pytorch 1.10.0+cu102
- Datasets 2.2.2
- Tokenizers 0.12.1
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