results
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: 356.9242
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: 1
- eval_batch_size: 1
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 20
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1033.4562 | 1.0 | 401 | 1658.2954 |
| 297.1692 | 2.0 | 802 | 841.6623 |
| 264.7683 | 3.0 | 1203 | 892.8900 |
| 381.3767 | 4.0 | 1604 | 835.1779 |
| 194.2236 | 5.0 | 2005 | 901.5334 |
| 180.7703 | 6.0 | 2406 | 552.7529 |
| 35.9909 | 7.0 | 2807 | 352.0545 |
| 184.5064 | 8.0 | 3208 | 356.3049 |
| 151.6956 | 9.0 | 3609 | 452.0968 |
| 58.0247 | 10.0 | 4010 | 390.8174 |
| 41.0552 | 11.0 | 4411 | 473.5340 |
| 19.0339 | 12.0 | 4812 | 472.2711 |
| 31.2277 | 13.0 | 5213 | 396.7701 |
| 38.499 | 14.0 | 5614 | 271.9209 |
| 48.1305 | 15.0 | 6015 | 334.2394 |
| 16.8594 | 16.0 | 6416 | 314.0363 |
| 9.0616 | 17.0 | 6817 | 351.6679 |
| 6.1224 | 18.0 | 7218 | 398.0360 |
| 16.5143 | 19.0 | 7619 | 372.0302 |
| 5.5345 | 20.0 | 8020 | 356.9242 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.1.2
- Datasets 2.19.2
- Tokenizers 0.19.1
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