---
library_name: transformers
base_model: SI2M-Lab/DarijaBERT
tags:
- generated_from_trainer
model-index:
- name: offres_classification_bert_v1
  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. -->

# offres_classification_bert_v1

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: 0.0010

## 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   | 135  | 0.0265          |
| No log        | 2.0   | 270  | 0.0045          |
| No log        | 3.0   | 405  | 0.0063          |
| 0.1371        | 4.0   | 540  | 0.0023          |
| 0.1371        | 5.0   | 675  | 0.0030          |
| 0.1371        | 6.0   | 810  | 0.0020          |
| 0.1371        | 7.0   | 945  | 0.0013          |
| 0.0009        | 8.0   | 1080 | 0.0011          |
| 0.0009        | 9.0   | 1215 | 0.0010          |
| 0.0009        | 10.0  | 1350 | 0.0010          |


### Framework versions

- Transformers 4.48.3
- Pytorch 2.5.1+cu124
- Datasets 2.21.0
- Tokenizers 0.21.0