---
base_model: SI2M-Lab/DarijaBERT
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: darija_test4
  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_test4

This model is a fine-tuned version of [SI2M-Lab/DarijaBERT](https://huggingface.co/SI2M-Lab/DarijaBERT) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2337
- Accuracy: 0.9402

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.691         | 1.0   | 209  | 0.6551          | 0.6388   |
| 0.48          | 2.0   | 418  | 0.5391          | 0.8086   |
| 0.7983        | 3.0   | 627  | 0.6059          | 0.7105   |
| 0.7509        | 4.0   | 836  | 0.5645          | 0.7201   |
| 0.6031        | 5.0   | 1045 | 0.5616          | 0.7249   |
| 0.4155        | 6.0   | 1254 | 0.5425          | 0.8062   |
| 0.5307        | 7.0   | 1463 | 0.5160          | 0.7943   |
| 0.4064        | 8.0   | 1672 | 0.4301          | 0.8469   |
| 0.3983        | 9.0   | 1881 | 0.3789          | 0.8971   |
| 0.4016        | 10.0  | 2090 | 0.2337          | 0.9402   |


### Framework versions

- Transformers 4.42.4
- Pytorch 2.4.0+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1