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ja_classification_brl
This model is a fine-tuned version of dicta-il/BEREL_2.0 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0712
- Precision: 0.9846
- Recall: 0.9846
- F1: 0.9846
- Accuracy: 0.9846
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: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
|---|---|---|---|---|---|---|---|
| No log | 1.0 | 1125 | 0.0522 | 0.9819 | 0.9819 | 0.9819 | 0.9819 |
| No log | 2.0 | 2250 | 0.0490 | 0.9837 | 0.9837 | 0.9837 | 0.9837 |
| No log | 3.0 | 3375 | 0.0481 | 0.9843 | 0.9843 | 0.9843 | 0.9843 |
| No log | 4.0 | 4500 | 0.0514 | 0.9844 | 0.9844 | 0.9844 | 0.9844 |
| No log | 5.0 | 5625 | 0.0548 | 0.9848 | 0.9848 | 0.9848 | 0.9848 |
| No log | 6.0 | 6750 | 0.0587 | 0.9846 | 0.9846 | 0.9846 | 0.9846 |
| No log | 7.0 | 7875 | 0.0636 | 0.9844 | 0.9844 | 0.9844 | 0.9844 |
| No log | 8.0 | 9000 | 0.0669 | 0.9846 | 0.9846 | 0.9846 | 0.9846 |
| No log | 9.0 | 10125 | 0.0685 | 0.9844 | 0.9844 | 0.9844 | 0.9844 |
| No log | 10.0 | 11250 | 0.0712 | 0.9846 | 0.9846 | 0.9846 | 0.9846 |
Framework versions
- Transformers 4.28.1
- Pytorch 1.13.0+cu117
- Datasets 2.11.0
- Tokenizers 0.11.6
