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xlm-roberta-base-Balance_Mixed-aug_replace_tfidf
This model is a fine-tuned version of xlm-roberta-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.6632
- Accuracy: 0.76
- F1: 0.7510
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: 8
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|---|---|---|---|---|---|
| 1.1027 | 1.0 | 88 | 1.0877 | 0.48 | 0.4112 |
| 1.0261 | 2.0 | 176 | 0.8165 | 0.65 | 0.5650 |
| 0.8758 | 3.0 | 264 | 0.6831 | 0.7 | 0.6894 |
| 0.7661 | 4.0 | 352 | 0.6533 | 0.72 | 0.6739 |
| 0.616 | 5.0 | 440 | 0.5860 | 0.75 | 0.7320 |
| 0.5005 | 6.0 | 528 | 0.6281 | 0.76 | 0.7478 |
| 0.4197 | 7.0 | 616 | 0.5979 | 0.77 | 0.7668 |
| 0.3669 | 8.0 | 704 | 0.6632 | 0.76 | 0.7510 |
Framework versions
- Transformers 4.32.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3
