N_bert_twitterfin_padding20model
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: 1.0103
- Accuracy: 0.8920
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 |
|---|---|---|---|---|
| 0.6026 | 1.0 | 597 | 0.3849 | 0.8589 |
| 0.3307 | 2.0 | 1194 | 0.3351 | 0.8832 |
| 0.2306 | 3.0 | 1791 | 0.4305 | 0.8865 |
| 0.1415 | 4.0 | 2388 | 0.5673 | 0.8827 |
| 0.1018 | 5.0 | 2985 | 0.6632 | 0.8794 |
| 0.0396 | 6.0 | 3582 | 0.7322 | 0.8819 |
| 0.0367 | 7.0 | 4179 | 0.7720 | 0.8874 |
| 0.0253 | 8.0 | 4776 | 0.8155 | 0.8836 |
| 0.0281 | 9.0 | 5373 | 0.8304 | 0.8853 |
| 0.0246 | 10.0 | 5970 | 0.8940 | 0.8882 |
| 0.0091 | 11.0 | 6567 | 1.0241 | 0.8823 |
| 0.0102 | 12.0 | 7164 | 0.9821 | 0.8874 |
| 0.0192 | 13.0 | 7761 | 1.0144 | 0.8765 |
| 0.0064 | 14.0 | 8358 | 1.0386 | 0.8861 |
| 0.0033 | 15.0 | 8955 | 0.9737 | 0.8907 |
| 0.0029 | 16.0 | 9552 | 1.0372 | 0.8890 |
| 0.002 | 17.0 | 10149 | 1.0022 | 0.8928 |
| 0.0016 | 18.0 | 10746 | 1.0081 | 0.8894 |
| 0.0017 | 19.0 | 11343 | 1.0171 | 0.8915 |
| 0.0024 | 20.0 | 11940 | 1.0103 | 0.8920 |
Framework versions
- Transformers 4.33.2
- Pytorch 2.0.1+cu117
- Datasets 2.14.5
- Tokenizers 0.13.3