---
library_name: transformers
license: cc-by-nc-4.0
base_model: omarxadel/hubert-large-arabic-egyptian
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: hubert_mosa
  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. -->

# hubert_mosa

This model is a fine-tuned version of [omarxadel/hubert-large-arabic-egyptian](https://huggingface.co/omarxadel/hubert-large-arabic-egyptian) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.7918
- Accuracy: 0.6304

## 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: 2e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.2
- num_epochs: 5

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Accuracy |
|:-------------:|:------:|:----:|:---------------:|:--------:|
| No log        | 1.0    | 104  | 1.0925          | 0.3207   |
| No log        | 2.0    | 208  | 0.8980          | 0.5652   |
| No log        | 3.0    | 312  | 0.8091          | 0.6196   |
| No log        | 4.0    | 416  | 0.7918          | 0.6304   |
| 0.9267        | 4.9565 | 515  | 0.7845          | 0.625    |


### Framework versions

- Transformers 4.47.0.dev0
- Pytorch 2.5.1
- Datasets 3.1.1.dev0
- Tokenizers 0.20.3