---
tags:
- generated_from_trainer
model-index:
- name: result
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# result

This model is a fine-tuned version of [Mahmoud22/AraClassificationModel](https://huggingface.co/Mahmoud22/AraClassificationModel) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0295
- F1-macro: 0.9856

## 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: 8e-05
- train_batch_size: 64
- eval_batch_size: 128
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 3
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | F1-macro |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.1818        | 1.0   | 1630 | 0.0996          | 0.9661   |
| 0.0899        | 2.0   | 3260 | 0.0398          | 0.9837   |
| 0.0326        | 3.0   | 4890 | 0.0218          | 0.9893   |


### Framework versions

- Transformers 4.26.1
- Pytorch 1.13.0
- Datasets 2.1.0
- Tokenizers 0.13.2