This model is a fine-tuned version of dicta-il/BEREL_2.0 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.1927
- Accuracy: 0.9507
Model description
诪讜讚诇 讝讛 诪拽讘诇 讻诇 诪砖驻讟 讜诪住讜讜讙 讗讜转讜 诇讗讞转 讛拽讟讙讜专讬讜转 讛讘讗讜转: 讗讜专讞 讞讬讬诐, 讞讜砖谉 诪砖驻讟 讗讜 讬讜专讛 讚注讛.
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 |
|---|---|---|---|---|
| 0.2694 | 1.0 | 537 | 0.1761 | 0.9409 |
| 0.0922 | 2.0 | 1074 | 0.1927 | 0.9507 |
Framework versions
- Transformers 4.33.0
- Pytorch 2.0.0
- Datasets 2.1.0
- Tokenizers 0.13.3
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