---
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: 0.0256

## 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   | 132  | 0.0484          |
| No log        | 2.0   | 264  | 0.0225          |
| No log        | 3.0   | 396  | 0.0269          |
| 0.1331        | 4.0   | 528  | 0.0217          |
| 0.1331        | 5.0   | 660  | 0.0240          |
| 0.1331        | 6.0   | 792  | 0.0248          |
| 0.1331        | 7.0   | 924  | 0.0250          |
| 0.0014        | 8.0   | 1056 | 0.0253          |
| 0.0014        | 9.0   | 1188 | 0.0256          |
| 0.0014        | 10.0  | 1320 | 0.0256          |


### Framework versions

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