---
language: ar
license: apache-2.0
library_name: peft
base_model: CAMeL-Lab/bert-base-arabic-camelbert-mix
tags:
- arabic
- dialect-classification
- lora
---

# HammaLoRACAMeLBert

Advanced Arabic Dialect Classification Model with Complete Training Metrics

![Training Metrics](training_metrics.png)

## Full Training History

|   epoch |   train_loss |   eval_loss |   train_accuracy |   eval_accuracy |       f1 |   precision |   recall |
|--------:|-------------:|------------:|-----------------:|----------------:|---------:|------------:|---------:|
|       1 |       2.0154 |    1.87199  |         0.315684 |        0.314607 | 0.278725 |    0.273851 | 0.315684 |
|       2 |       1.4809 |    1.09191  |         0.617445 |        0.629775 | 0.595584 |    0.620764 | 0.617445 |
|       3 |       1.0622 |    0.928158 |         0.679133 |        0.687079 | 0.676854 |    0.687955 | 0.679133 |
|       4 |       0.9443 |    0.82644  |         0.714286 |        0.711236 | 0.710725 |    0.716035 | 0.714286 |
|       5 |       0.8663 |    0.753623 |         0.745754 |        0.740449 | 0.746578 |    0.751243 | 0.745754 |
|       6 |       0.811  |    0.710841 |         0.763299 |        0.751685 | 0.764064 |    0.771564 | 0.763299 |
|       7 |       0.7637 |    0.661208 |         0.77741  |        0.76573  | 0.778244 |    0.782777 | 0.77741  |
|       8 |       0.7277 |    0.636298 |         0.783904 |        0.770225 | 0.785828 |    0.794191 | 0.783904 |
|       9 |       0.7061 |    0.616007 |         0.789461 |        0.769101 | 0.791083 |    0.797592 | 0.789461 |
|      10 |       0.6889 |    0.594658 |         0.798264 |        0.775843 | 0.799    |    0.802585 | 0.798264 |
|      11 |       0.6729 |    0.58317  |         0.801823 |        0.783146 | 0.802991 |    0.807269 | 0.801823 |
|      12 |       0.6591 |    0.58294  |         0.801886 |        0.780337 | 0.803151 |    0.809606 | 0.801886 |
|      13 |       0.6515 |    0.570984 |         0.807255 |        0.782022 | 0.808294 |    0.812656 | 0.807255 |
|      14 |       0.6435 |    0.563709 |         0.809441 |        0.783146 | 0.81018  |    0.813134 | 0.809441 |
|      15 |       0.64   |    0.562957 |         0.808816 |        0.783708 | 0.809795 |    0.813538 | 0.808816 |

## Label Mapping:

{0: 'Egypt', 1: 'Iraq', 2: 'Lebanon', 3: 'Morocco', 4: 'Saudi_Arabia', 5: 'Sudan', 6: 'Tunisia'}

## USAGE Example:
```python
from transformers import pipeline

classifier = pipeline(
    "text-classification",
    model="Hamma-16/HammaLoRACAMeLBert",
    device="cuda" if torch.cuda.is_available() else "cpu"
)

sample_text = "شلونك اليوم؟"
result = classifier(sample_text)
print(f"Text: {sample_text}")
print(f"Predicted: {result[0]['label']} (confidence: {result[0]['score']:.1%})")