<!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. -->
roberta-base_edos_b
This model is a fine-tuned version of roberta-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.3797
- Accuracy: 0.6337
- F1: 0.6259
- Precision: 0.6395
- Recall: 0.6155
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: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall |
|---|---|---|---|---|---|---|---|
| 0.9275 | 1.0 | 638 | 0.8373 | 0.6502 | 0.6579 | 0.6348 | 0.6989 |
| 0.5744 | 2.0 | 1276 | 1.1104 | 0.6337 | 0.6187 | 0.6332 | 0.6225 |
| 0.334 | 3.0 | 1914 | 1.3797 | 0.6337 | 0.6259 | 0.6395 | 0.6155 |
Framework versions
- Transformers 4.25.1
- Pytorch 1.13.1+cu116
- Datasets 2.8.0
- Tokenizers 0.13.2
