---
base_model: aubmindlab/bert-base-arabertv02
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: darija_test2
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# darija_test2

This model is a fine-tuned version of [aubmindlab/bert-base-arabertv02](https://huggingface.co/aubmindlab/bert-base-arabertv02) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2769
- Accuracy: 0.9556

## 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: 0.0003
- 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
- lr_scheduler_warmup_ratio: 0.05
- num_epochs: 10
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.123         | 1.0   | 169  | 0.2769          | 0.9556   |
| 0.0724        | 2.0   | 338  | 0.2281          | 0.9556   |
| 0.3313        | 3.0   | 507  | 0.1926          | 0.9556   |
| 0.1882        | 4.0   | 676  | 0.2005          | 0.9556   |
| 0.1326        | 5.0   | 845  | 0.2389          | 0.9556   |
| 0.1743        | 6.0   | 1014 | 0.2091          | 0.9556   |
| 0.4009        | 7.0   | 1183 | 0.1769          | 0.9556   |
| 0.0611        | 8.0   | 1352 | 0.2138          | 0.9556   |
| 0.2488        | 9.0   | 1521 | 0.2089          | 0.9556   |
| 0.0103        | 10.0  | 1690 | 0.2039          | 0.9556   |


### Framework versions

- Transformers 4.42.4
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1