---
base_model: aubmindlab/bert-base-arabertv02
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: stepanom_model
  results: []
widget:
- text: "هل يمكنك تتبع بطاقتي من أجلي؟"
---

<!-- 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. -->

# stepanom_model

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: 0.2797
- Accuracy: 0.9348

## 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: 2.937e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 8

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 2.3672        | 1.0   | 539  | 0.7685          | 0.8328   |
| 0.5966        | 2.0   | 1078 | 0.4007          | 0.8982   |
| 0.3074        | 3.0   | 1617 | 0.3301          | 0.9149   |
| 0.1851        | 4.0   | 2156 | 0.3010          | 0.9249   |
| 0.1099        | 5.0   | 2695 | 0.2945          | 0.9274   |
| 0.0758        | 6.0   | 3234 | 0.2832          | 0.9321   |
| 0.044         | 7.0   | 3773 | 0.2797          | 0.9348   |
| 0.0285        | 8.0   | 4312 | 0.2868          | 0.9337   |


### Framework versions

- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2