---
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: 3.3206

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 5.5622        | 0.46  | 10   | 4.5956          |
| 4.4125        | 0.92  | 20   | 3.9095          |
| 3.9487        | 1.38  | 30   | 3.7421          |
| 3.7229        | 1.84  | 40   | 3.5886          |
| 3.3851        | 2.3   | 50   | 3.5666          |
| 3.1301        | 2.76  | 60   | 3.4475          |
| 2.9588        | 3.22  | 70   | 3.4111          |
| 2.7213        | 3.68  | 80   | 3.3688          |
| 2.5743        | 4.14  | 90   | 3.3205          |
| 2.3191        | 4.6   | 100  | 3.3206          |


### Framework versions

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