bert_twitterfin_padding0model
This model is a fine-tuned version of bert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.0341
- Accuracy: 0.8861
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 |
|---|---|---|---|---|
| 0.5848 | 1.0 | 597 | 0.3765 | 0.8601 |
| 0.339 | 2.0 | 1194 | 0.3377 | 0.8807 |
| 0.2321 | 3.0 | 1791 | 0.4471 | 0.8794 |
| 0.1389 | 4.0 | 2388 | 0.6145 | 0.8807 |
| 0.102 | 5.0 | 2985 | 0.6765 | 0.8807 |
| 0.0398 | 6.0 | 3582 | 0.7212 | 0.8832 |
| 0.0344 | 7.0 | 4179 | 0.7934 | 0.8848 |
| 0.0252 | 8.0 | 4776 | 0.9231 | 0.8660 |
| 0.0248 | 9.0 | 5373 | 0.8171 | 0.8807 |
| 0.0184 | 10.0 | 5970 | 0.8674 | 0.8853 |
| 0.0154 | 11.0 | 6567 | 0.9038 | 0.8861 |
| 0.0102 | 12.0 | 7164 | 0.9355 | 0.8911 |
| 0.0086 | 13.0 | 7761 | 1.0081 | 0.8765 |
| 0.0062 | 14.0 | 8358 | 0.9375 | 0.8886 |
| 0.007 | 15.0 | 8955 | 0.9815 | 0.8874 |
| 0.0038 | 16.0 | 9552 | 1.0139 | 0.8827 |
| 0.0022 | 17.0 | 10149 | 0.9909 | 0.8903 |
| 0.0019 | 18.0 | 10746 | 1.0112 | 0.8886 |
| 0.0004 | 19.0 | 11343 | 1.0231 | 0.8878 |
| 0.0009 | 20.0 | 11940 | 1.0341 | 0.8861 |
Framework versions
- Transformers 4.33.2
- Pytorch 2.0.1+cu117
- Datasets 2.14.5
- Tokenizers 0.13.3