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my-awesome-spammodel2
This model is a fine-tuned version of aubmindlab/bert-base-arabertv2 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.1559
- Accuracy: 0.9667
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: 2
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.1808 | 0.2 | 50 | 0.1473 | 0.96 |
| 0.0845 | 0.41 | 100 | 0.1349 | 0.9733 |
| 0.087 | 0.61 | 150 | 0.1499 | 0.9733 |
| 0.0824 | 0.82 | 200 | 0.1372 | 0.9733 |
| 0.0882 | 1.02 | 250 | 0.1223 | 0.9733 |
| 0.0664 | 1.23 | 300 | 0.1434 | 0.9733 |
| 0.0152 | 1.43 | 350 | 0.1569 | 0.9733 |
| 0.0668 | 1.64 | 400 | 0.1531 | 0.9733 |
| 0.0251 | 1.84 | 450 | 0.1559 | 0.9667 |
Framework versions
- Transformers 4.29.2
- Pytorch 2.0.1+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3
