|
--- |
|
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 |
|
|
