| | --- |
| | license: apache-2.0 |
| | base_model: dicta-il/BEREL_2.0 |
| | tags: |
| | - generated_from_trainer |
| | metrics: |
| | - accuracy |
| | model-index: |
| | - name: shulchan_aruch_classifier |
| | results: [] |
| | --- |
| | |
| | <!-- 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. --> |
| |
|
| | # |
| |
|
| | This model is a fine-tuned version of [dicta-il/BEREL_2.0](https://huggingface.co/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 |
| |
|
