---
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
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# 

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

מודל זה מקבל כל משפט ומסווג אותו לאחת הקטגוריות הבאות: אורח חיים, חושן משפט או יורה דעה.

## 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