N_roberta_twitterfin_padding90model
This model is a fine-tuned version of roberta-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.8650
- Accuracy: 0.9091
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 |
|---|---|---|---|---|
| 0.6054 | 1.0 | 597 | 0.3184 | 0.8769 |
| 0.3443 | 2.0 | 1194 | 0.2685 | 0.8974 |
| 0.2688 | 3.0 | 1791 | 0.3255 | 0.8974 |
| 0.1973 | 4.0 | 2388 | 0.4801 | 0.9020 |
| 0.1766 | 5.0 | 2985 | 0.4662 | 0.9024 |
| 0.1006 | 6.0 | 3582 | 0.5233 | 0.9020 |
| 0.0952 | 7.0 | 4179 | 0.6466 | 0.8991 |
| 0.059 | 8.0 | 4776 | 0.6995 | 0.8945 |
| 0.0509 | 9.0 | 5373 | 0.7444 | 0.8957 |
| 0.0455 | 10.0 | 5970 | 0.7315 | 0.9070 |
| 0.0373 | 11.0 | 6567 | 0.7778 | 0.8995 |
| 0.03 | 12.0 | 7164 | 0.7502 | 0.9012 |
| 0.0261 | 13.0 | 7761 | 0.7549 | 0.9100 |
| 0.0285 | 14.0 | 8358 | 0.8109 | 0.9028 |
| 0.0167 | 15.0 | 8955 | 0.8091 | 0.9054 |
| 0.009 | 16.0 | 9552 | 0.8166 | 0.9083 |
| 0.0116 | 17.0 | 10149 | 0.8317 | 0.9083 |
| 0.0059 | 18.0 | 10746 | 0.8309 | 0.9116 |
| 0.0031 | 19.0 | 11343 | 0.8648 | 0.9095 |
| 0.0026 | 20.0 | 11940 | 0.8650 | 0.9091 |
Framework versions
- Transformers 4.33.2
- Pytorch 2.0.1+cu117
- Datasets 2.14.5
- Tokenizers 0.13.3