---
base_model: aubmindlab/bert-base-arabertv02
tags:
- generated_from_trainer
model-index:
- name: SA-History-NASEEJ-QA
  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. -->

# SA-History-NASEEJ-QA

This model is a fine-tuned version of [aubmindlab/bert-base-arabertv02](https://huggingface.co/aubmindlab/bert-base-arabertv02) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 4.6226

## 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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 9

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 11   | 4.9014          |
| No log        | 2.0   | 22   | 4.7432          |
| No log        | 3.0   | 33   | 4.6212          |
| No log        | 4.0   | 44   | 4.6347          |
| No log        | 5.0   | 55   | 4.6101          |
| No log        | 6.0   | 66   | 4.6209          |
| No log        | 7.0   | 77   | 4.6445          |
| No log        | 8.0   | 88   | 4.6284          |
| No log        | 9.0   | 99   | 4.6226          |


### Framework versions

- Transformers 4.32.0
- Pytorch 2.0.1
- Datasets 2.14.4
- Tokenizers 0.13.3