---
library_name: transformers
base_model: asafaya/bert-large-arabic
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: darija_test8
  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. -->

# darija_test8

This model is a fine-tuned version of [asafaya/bert-large-arabic](https://huggingface.co/asafaya/bert-large-arabic) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0000
- Accuracy: 1.0

## 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: 5e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 6

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 1.0   | 281  | 0.0390          | 0.9929   |
| 0.0967        | 2.0   | 562  | 0.0139          | 0.9982   |
| 0.0967        | 3.0   | 843  | 0.0008          | 1.0      |
| 0.0216        | 4.0   | 1124 | 0.0000          | 1.0      |
| 0.0216        | 5.0   | 1405 | 0.0000          | 1.0      |
| 0.0032        | 6.0   | 1686 | 0.0000          | 1.0      |


### Framework versions

- Transformers 4.44.2
- Pytorch 2.4.0+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1