---
base_model: aubmindlab/araelectra-base-generator
tags:
- generated_from_trainer
model-index:
- name: QA_FineTuned_AraElectra
  results: []
language:
- ar
---

<!-- 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. -->

# QA_FineTuned_AraElectra

This model is a fine-tuned version of [aubmindlab/araelectra-base-generator](https://huggingface.co/aubmindlab/araelectra-base-generator) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 3.7412

## 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: 0.0002
- train_batch_size: 12
- eval_batch_size: 12
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 48
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 2.4646        | 0.46  | 10   | 3.6378          |
| 2.3471        | 0.92  | 20   | 3.7147          |
| 2.0415        | 1.38  | 30   | 3.5732          |
| 1.7322        | 1.84  | 40   | 3.6297          |
| 1.5186        | 2.3   | 50   | 3.7015          |
| 1.3975        | 2.76  | 60   | 3.7349          |
| 1.3371        | 3.22  | 70   | 3.6949          |
| 1.1967        | 3.68  | 80   | 3.7225          |
| 1.1798        | 4.14  | 90   | 3.8054          |
| 1.0775        | 4.6   | 100  | 3.7412          |


### Framework versions

- Transformers 4.39.3
- Pytorch 2.1.2+cpu
- Datasets 2.18.0
- Tokenizers 0.15.2