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---
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
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