---
base_model: lafifi-24/arbert_arabic_dialect_identification
tags:
- generated_from_trainer
model-index:
- name: arbert_arabic_dialect_identification
  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. -->

# arbert_arabic_dialect_identification

This model is a fine-tuned version of [lafifi-24/arbert_arabic_dialect_identification](https://huggingface.co/lafifi-24/arbert_arabic_dialect_identification) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.7977
- F1-score: 0.5948

## 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: 5e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 20

### Training results

| Training Loss | Epoch | Step | Validation Loss | F1-score |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 1.0   | 290  | 1.4459          | 0.5037   |
| 1.4958        | 2.0   | 580  | 1.5787          | 0.5153   |
| 1.4958        | 3.0   | 870  | 1.4938          | 0.5693   |
| 0.7952        | 4.0   | 1160 | 1.7462          | 0.5504   |
| 0.7952        | 5.0   | 1450 | 1.7977          | 0.5948   |
| 0.4922        | 6.0   | 1740 | 2.1508          | 0.5682   |
| 0.3171        | 7.0   | 2030 | 2.5673          | 0.5335   |
| 0.3171        | 8.0   | 2320 | 2.5563          | 0.5658   |
| 0.2204        | 9.0   | 2610 | 2.8487          | 0.5336   |
| 0.2204        | 10.0  | 2900 | 3.0247          | 0.5422   |
| 0.1511        | 11.0  | 3190 | 2.8925          | 0.5594   |
| 0.1511        | 12.0  | 3480 | 3.2729          | 0.5333   |
| 0.0967        | 13.0  | 3770 | 3.2754          | 0.5531   |
| 0.0615        | 14.0  | 4060 | 3.3330          | 0.5430   |
| 0.0615        | 15.0  | 4350 | 3.3549          | 0.5430   |
| 0.043         | 16.0  | 4640 | 3.3918          | 0.5637   |
| 0.043         | 17.0  | 4930 | 3.5727          | 0.5381   |
| 0.037         | 18.0  | 5220 | 3.5450          | 0.5499   |
| 0.0187        | 19.0  | 5510 | 3.5421          | 0.5394   |
| 0.0187        | 20.0  | 5800 | 3.5514          | 0.5403   |


### Framework versions

- Transformers 4.40.0
- Pytorch 2.2.1+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1