outputs
This model is a fine-tuned version of roberta-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.5411
- Accuracy: 0.5226
- F1: 0.4181
- Precision: 0.4320
- Recall: 0.4102
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 |
|---|---|---|---|---|---|---|---|
| 1.5774 | 1.0 | 638 | 1.3539 | 0.5329 | 0.3936 | 0.4611 | 0.4001 |
| 1.0496 | 2.0 | 1276 | 1.4186 | 0.5226 | 0.3943 | 0.4234 | 0.3883 |
| 0.7299 | 3.0 | 1914 | 1.5411 | 0.5226 | 0.4181 | 0.4320 | 0.4102 |
Framework versions
- Transformers 4.25.1
- Pytorch 1.13.1+cu116
- Datasets 2.8.0
- Tokenizers 0.13.2