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20split_dataset_version2
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: 2.0626
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: 5e-05
- train_batch_size: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 16
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.7621 | 1.0 | 11851 | 2.5216 |
| 2.5466 | 2.0 | 23702 | 2.4157 |
| 2.4505 | 3.0 | 35553 | 2.3592 |
| 2.3798 | 4.0 | 47404 | 2.3028 |
| 2.3178 | 5.0 | 59255 | 2.2768 |
| 2.272 | 6.0 | 71106 | 2.2366 |
| 2.2323 | 7.0 | 82957 | 2.2128 |
| 2.1928 | 8.0 | 94808 | 2.1797 |
| 2.157 | 9.0 | 106659 | 2.1667 |
| 2.1292 | 10.0 | 118510 | 2.1392 |
| 2.0978 | 11.0 | 130361 | 2.1280 |
| 2.0725 | 12.0 | 142212 | 2.1106 |
| 2.052 | 13.0 | 154063 | 2.0944 |
| 2.0268 | 14.0 | 165914 | 2.0804 |
| 2.0121 | 15.0 | 177765 | 2.0698 |
| 1.9997 | 16.0 | 189616 | 2.0626 |
Framework versions
- Transformers 4.20.1
- Pytorch 1.12.0+cu113
- Datasets 2.4.0
- Tokenizers 0.12.1
