<!-- 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
This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.3953
- Precision: 0.5295
- Recall: 0.2861
- F1: 0.3715
- Accuracy: 0.9648
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: 8
- eval_batch_size: 8
- 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 | Precision | Recall | F1 | Accuracy |
|---|---|---|---|---|---|---|---|
| 0.0001 | 1.0 | 7365 | 0.4150 | 0.4892 | 0.1876 | 0.2712 | 0.9603 |
| 0.0 | 2.0 | 14730 | 0.4248 | 0.6005 | 0.2399 | 0.3428 | 0.9638 |
| 0.0 | 3.0 | 22095 | 0.3953 | 0.5295 | 0.2861 | 0.3715 | 0.9648 |
Framework versions
- Transformers 4.23.1
- Pytorch 1.12.1+cu113
- Datasets 2.6.1
- Tokenizers 0.13.1
