---
base_model: SI2M-Lab/DarijaBERT
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: darija_test5
  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_test5

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: 1.1195
- Accuracy: 0.8508

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.0554        | 1.0   | 214  | 1.1195          | 0.8508   |
| 0.5871        | 2.0   | 428  | 0.6734          | 0.6131   |
| 0.7418        | 3.0   | 642  | 0.7144          | 0.6131   |
| 0.7406        | 4.0   | 856  | 0.7020          | 0.6131   |
| 0.6984        | 5.0   | 1070 | 0.6787          | 0.6131   |
| 0.7168        | 6.0   | 1284 | 0.6678          | 0.6131   |
| 0.6719        | 7.0   | 1498 | 0.6676          | 0.6131   |
| 0.72          | 8.0   | 1712 | 0.6701          | 0.6131   |
| 0.5586        | 9.0   | 1926 | 0.6686          | 0.6131   |
| 0.7321        | 10.0  | 2140 | 0.6693          | 0.6131   |


### Framework versions

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