N_bert_twitterfin_padding90model
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: 1.0260
- Accuracy: 0.8890
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 |
|---|---|---|---|---|
| 0.635 | 1.0 | 597 | 0.4070 | 0.8539 |
| 0.3588 | 2.0 | 1194 | 0.3219 | 0.8907 |
| 0.2478 | 3.0 | 1791 | 0.4226 | 0.8865 |
| 0.1539 | 4.0 | 2388 | 0.5291 | 0.8811 |
| 0.1226 | 5.0 | 2985 | 0.6593 | 0.8639 |
| 0.0441 | 6.0 | 3582 | 0.6809 | 0.8861 |
| 0.0364 | 7.0 | 4179 | 0.7800 | 0.8882 |
| 0.0343 | 8.0 | 4776 | 0.7629 | 0.8840 |
| 0.0255 | 9.0 | 5373 | 0.7855 | 0.8811 |
| 0.0191 | 10.0 | 5970 | 0.8804 | 0.8790 |
| 0.0101 | 11.0 | 6567 | 0.8909 | 0.8865 |
| 0.0083 | 12.0 | 7164 | 0.8889 | 0.8853 |
| 0.0108 | 13.0 | 7761 | 0.8784 | 0.8936 |
| 0.0122 | 14.0 | 8358 | 0.9470 | 0.8907 |
| 0.0071 | 15.0 | 8955 | 0.9631 | 0.8865 |
| 0.0044 | 16.0 | 9552 | 1.0000 | 0.8915 |
| 0.0039 | 17.0 | 10149 | 1.0128 | 0.8911 |
| 0.002 | 18.0 | 10746 | 1.0107 | 0.8903 |
| 0.0032 | 19.0 | 11343 | 1.0090 | 0.8911 |
| 0.0022 | 20.0 | 11940 | 1.0260 | 0.8890 |
Framework versions
- Transformers 4.33.2
- Pytorch 2.0.1+cu117
- Datasets 2.14.5
- Tokenizers 0.13.3