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

This model is a fine-tuned version of [Mohamedd123321/Arabizi_Checkpoints-large](https://huggingface.co/Mohamedd123321/Arabizi_Checkpoints-large) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.8227
- Accuracy: 0.8735
- F1: 0.8735
- Precision: 0.8738
- Recall: 0.8735

## 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: 1e-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
- lr_scheduler_warmup_ratio: 0.06
- num_epochs: 6

### Training results

| Training Loss | Epoch  | Step  | Accuracy | F1     | Validation Loss | Precision | Recall |
|:-------------:|:------:|:-----:|:--------:|:------:|:---------------:|:---------:|:------:|
| 0.4446        | 1.7247 | 5000  | 0.8677   | 0.8691 | 0.4791          | 0.8724    | 0.8677 |
| 0.3038        | 3.4495 | 10000 | 0.8694   | 0.8720 | 0.6029          | 0.8771    | 0.8694 |
| 0.2221        | 5.1742 | 15000 | 0.8227   | 0.8735 | 0.8735          | 0.8738    | 0.8735 |


### Framework versions

- Transformers 4.40.2
- Pytorch 2.8.0+cu128
- Datasets 5.0.0
- Tokenizers 0.19.1