N_roberta_twitterfin_padding100model
This model is a fine-tuned version of roberta-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.8729
- Accuracy: 0.9075
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 |
|---|---|---|---|---|
| 0.6304 | 1.0 | 597 | 0.3671 | 0.8719 |
| 0.3345 | 2.0 | 1194 | 0.2625 | 0.9020 |
| 0.2763 | 3.0 | 1791 | 0.4097 | 0.8932 |
| 0.2033 | 4.0 | 2388 | 0.3877 | 0.9020 |
| 0.1785 | 5.0 | 2985 | 0.4475 | 0.9037 |
| 0.1018 | 6.0 | 3582 | 0.4814 | 0.9087 |
| 0.0923 | 7.0 | 4179 | 0.6967 | 0.8907 |
| 0.0676 | 8.0 | 4776 | 0.6585 | 0.8961 |
| 0.0619 | 9.0 | 5373 | 0.7497 | 0.8945 |
| 0.0436 | 10.0 | 5970 | 0.7177 | 0.9049 |
| 0.0301 | 11.0 | 6567 | 0.7729 | 0.9066 |
| 0.0292 | 12.0 | 7164 | 0.7846 | 0.9028 |
| 0.0223 | 13.0 | 7761 | 0.8207 | 0.9041 |
| 0.0242 | 14.0 | 8358 | 0.7909 | 0.9049 |
| 0.0195 | 15.0 | 8955 | 0.8201 | 0.9037 |
| 0.0171 | 16.0 | 9552 | 0.8230 | 0.9070 |
| 0.0097 | 17.0 | 10149 | 0.8850 | 0.8970 |
| 0.0084 | 18.0 | 10746 | 0.8350 | 0.9075 |
| 0.0047 | 19.0 | 11343 | 0.8665 | 0.9075 |
| 0.003 | 20.0 | 11940 | 0.8729 | 0.9075 |
Framework versions
- Transformers 4.33.2
- Pytorch 2.0.1+cu117
- Datasets 2.14.5
- Tokenizers 0.13.3