---
library_name: transformers
base_model: aubmindlab/bert-large-arabertv02
tags:
- generated_from_trainer
model-index:
- name: offres_classification_bert_promo_classification_new_train_data_v3
  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_v3

This model is a fine-tuned version of [aubmindlab/bert-large-arabertv02](https://huggingface.co/aubmindlab/bert-large-arabertv02) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0678

## 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   | 212  | 1.1428          |
| No log        | 2.0   | 424  | 0.1821          |
| 1.0568        | 3.0   | 636  | 0.1044          |
| 1.0568        | 4.0   | 848  | 0.0824          |
| 0.1311        | 5.0   | 1060 | 0.0683          |
| 0.1311        | 6.0   | 1272 | 0.0640          |
| 0.1311        | 7.0   | 1484 | 0.0689          |
| 0.0126        | 8.0   | 1696 | 0.0700          |
| 0.0126        | 9.0   | 1908 | 0.0670          |
| 0.004         | 10.0  | 2120 | 0.0678          |


### Framework versions

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