---
license: apache-2.0
base_model: Mohamedd123321/XLMR_Large_Arabizi_MLM
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
- precision
- recall
model-index:
- name: Arabizi_Checkpoints-large
  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. -->

# Arabizi_Checkpoints-large

This model is a fine-tuned version of [Mohamedd123321/XLMR_Large_Arabizi_MLM](https://huggingface.co/Mohamedd123321/XLMR_Large_Arabizi_MLM) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5551
- Accuracy: 0.8976
- F1: 0.8979
- Precision: 0.8983
- Recall: 0.8976

## 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: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 6

### Training results

| Training Loss | Epoch  | Step  | Accuracy | F1     | Validation Loss | Precision | Recall |
|:-------------:|:------:|:-----:|:--------:|:------:|:---------------:|:---------:|:------:|
| 0.2588        | 1.9841 | 10000 | 0.8947   | 0.8948 | 0.2934          | 0.8949    | 0.8947 |
| 0.1349        | 3.9683 | 20000 | 0.3518   | 0.8983 | 0.8981          | 0.8980    | 0.8983 |
| 0.0702        | 5.9524 | 30000 | 0.5551   | 0.8976 | 0.8979          | 0.8983    | 0.8976 |


### Framework versions

- Transformers 4.40.2
- Pytorch 2.8.0+cu129
- Datasets 5.0.0
- Tokenizers 0.19.1