distilbert_twitterfin_padding80model
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: 1.2464
- Accuracy: 0.8643
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: 20
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.6875 | 1.0 | 597 | 0.5594 | 0.7714 |
| 0.4358 | 2.0 | 1194 | 0.4065 | 0.8606 |
| 0.3212 | 3.0 | 1791 | 0.4008 | 0.8652 |
| 0.2291 | 4.0 | 2388 | 0.5113 | 0.8589 |
| 0.1828 | 5.0 | 2985 | 0.6224 | 0.8526 |
| 0.0895 | 6.0 | 3582 | 0.7556 | 0.8417 |
| 0.0787 | 7.0 | 4179 | 0.8308 | 0.8539 |
| 0.0562 | 8.0 | 4776 | 0.8072 | 0.8660 |
| 0.0622 | 9.0 | 5373 | 0.8961 | 0.8564 |
| 0.0319 | 10.0 | 5970 | 0.9517 | 0.8626 |
| 0.0301 | 11.0 | 6567 | 1.0274 | 0.8610 |
| 0.0196 | 12.0 | 7164 | 1.0598 | 0.8606 |
| 0.0224 | 13.0 | 7761 | 1.1347 | 0.8673 |
| 0.0164 | 14.0 | 8358 | 1.1203 | 0.8664 |
| 0.0113 | 15.0 | 8955 | 1.1585 | 0.8647 |
| 0.007 | 16.0 | 9552 | 1.2019 | 0.8589 |
| 0.0082 | 17.0 | 10149 | 1.2218 | 0.8656 |
| 0.0043 | 18.0 | 10746 | 1.2438 | 0.8635 |
| 0.0047 | 19.0 | 11343 | 1.2392 | 0.8656 |
| 0.0031 | 20.0 | 11940 | 1.2464 | 0.8643 |
Framework versions
- Transformers 4.33.2
- Pytorch 2.0.1+cu117
- Datasets 2.14.5
- Tokenizers 0.13.3