---
base_model: aubmindlab/bert-base-arabert
tags:
- generated_from_trainer
model-index:
- name: Labour-Law-SA-QA
  results: []
language:
- ar
library_name: transformers
pipeline_tag: question-answering
---

# Labour-Law-SA-QA

This model is a fine-tuned version of [aubmindlab/bert-base-arabert](https://huggingface.co/aubmindlab/bert-base-arabert) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.1740

## 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: 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: 9

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 34   | 1.6275          |
| No log        | 2.0   | 68   | 1.4822          |
| No log        | 3.0   | 102  | 1.4659          |
| No log        | 4.0   | 136  | 1.3038          |
| No log        | 5.0   | 170  | 1.3173          |
| No log        | 6.0   | 204  | 1.1665          |
| No log        | 7.0   | 238  | 1.1344          |
| No log        | 8.0   | 272  | 1.1346          |
| No log        | 9.0   | 306  | 1.1740          |


### Framework versions

- Transformers 4.31.0
- Pytorch 2.0.1
- Datasets 2.14.4
- Tokenizers 0.13.3