---
library_name: transformers
base_model: SI2M-Lab/DarijaBERT
tags:
- generated_from_trainer
model-index:
- name: offres_classification_bert_promo_classification_new_train_data_v2
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# offres_classification_bert_promo_classification_new_train_data_v2

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: 0.0711

## 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: 2e-05
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- optimizer: Use OptimizerNames.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: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 211  | 0.1140          |
| No log        | 2.0   | 422  | 0.0729          |
| 0.292         | 3.0   | 633  | 0.0584          |
| 0.292         | 4.0   | 844  | 0.0479          |
| 0.0045        | 5.0   | 1055 | 0.0718          |
| 0.0045        | 6.0   | 1266 | 0.0703          |
| 0.0045        | 7.0   | 1477 | 0.0687          |
| 0.0016        | 8.0   | 1688 | 0.0678          |
| 0.0016        | 9.0   | 1899 | 0.0694          |
| 0.0016        | 10.0  | 2110 | 0.0711          |


### Framework versions

- Transformers 4.50.3
- Pytorch 2.6.0+cu124
- Datasets 2.21.0
- Tokenizers 0.21.1