---
library_name: transformers
base_model: SI2M-Lab/DarijaBERT
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: question_classification
  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. -->

# question_classification

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: 0.0856
- Accuracy: 0.9924

## 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: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 8

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 1.0   | 264  | 0.0688          | 0.9905   |
| 0.0366        | 2.0   | 528  | 0.0684          | 0.9924   |
| 0.0366        | 3.0   | 792  | 0.0770          | 0.9924   |
| 0.0           | 4.0   | 1056 | 0.0806          | 0.9924   |
| 0.0           | 5.0   | 1320 | 0.0829          | 0.9924   |
| 0.0           | 6.0   | 1584 | 0.0844          | 0.9924   |
| 0.0           | 7.0   | 1848 | 0.0852          | 0.9924   |
| 0.0           | 8.0   | 2112 | 0.0856          | 0.9924   |


### Framework versions

- Transformers 4.47.1
- Pytorch 2.5.1+cu121
- Datasets 2.21.0
- Tokenizers 0.21.0