---
base_model: aubmindlab/bert-base-arabertv02
tags:
- generated_from_trainer
model-index:
- name: arabert_baseline_style_task6_fold1
  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. -->

# arabert_baseline_style_task6_fold1

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: 0.8646
- Qwk: 0.5642
- Mse: 0.8646

## 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: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | Qwk    | Mse    |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|
| No log        | 0.5   | 2    | 1.9949          | 0.0653 | 1.9949 |
| No log        | 1.0   | 4    | 0.9870          | 0.4463 | 0.9870 |
| No log        | 1.5   | 6    | 1.0110          | 0.3212 | 1.0110 |
| No log        | 2.0   | 8    | 1.2493          | 0.1888 | 1.2493 |
| No log        | 2.5   | 10   | 1.3543          | 0.2877 | 1.3543 |
| No log        | 3.0   | 12   | 0.9301          | 0.3348 | 0.9301 |
| No log        | 3.5   | 14   | 0.8618          | 0.4615 | 0.8618 |
| No log        | 4.0   | 16   | 0.8638          | 0.3275 | 0.8638 |
| No log        | 4.5   | 18   | 0.8955          | 0.4340 | 0.8955 |
| No log        | 5.0   | 20   | 0.9073          | 0.5391 | 0.9073 |
| No log        | 5.5   | 22   | 0.8973          | 0.5817 | 0.8973 |
| No log        | 6.0   | 24   | 0.9007          | 0.5817 | 0.9007 |
| No log        | 6.5   | 26   | 0.8920          | 0.5817 | 0.8920 |
| No log        | 7.0   | 28   | 0.8869          | 0.5817 | 0.8869 |
| No log        | 7.5   | 30   | 0.8758          | 0.5817 | 0.8758 |
| No log        | 8.0   | 32   | 0.8811          | 0.5642 | 0.8811 |
| No log        | 8.5   | 34   | 0.8874          | 0.4943 | 0.8874 |
| No log        | 9.0   | 36   | 0.8749          | 0.5642 | 0.8749 |
| No log        | 9.5   | 38   | 0.8676          | 0.5642 | 0.8676 |
| No log        | 10.0  | 40   | 0.8646          | 0.5642 | 0.8646 |


### Framework versions

- Transformers 4.44.0
- Pytorch 2.4.0
- Datasets 2.21.0
- Tokenizers 0.19.1