---
base_model: aubmindlab/bert-base-arabertv02
tags:
- generated_from_trainer
model-index:
- name: arabert_baseline_organization_task8_fold0
  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_organization_task8_fold0

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: 0.4941
- Qwk: 0.6010
- Mse: 0.4941

## 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    | 1.4026          | 0.0558  | 1.4026 |
| No log        | 1.0   | 4    | 1.1702          | 0.0     | 1.1702 |
| No log        | 1.5   | 6    | 1.0793          | -0.0294 | 1.0793 |
| No log        | 2.0   | 8    | 1.0475          | 0.4031  | 1.0475 |
| No log        | 2.5   | 10   | 0.9473          | 0.5191  | 0.9473 |
| No log        | 3.0   | 12   | 0.8743          | 0.3158  | 0.8743 |
| No log        | 3.5   | 14   | 0.7934          | 0.3158  | 0.7934 |
| No log        | 4.0   | 16   | 0.6914          | 0.4324  | 0.6914 |
| No log        | 4.5   | 18   | 0.6177          | 0.4940  | 0.6177 |
| No log        | 5.0   | 20   | 0.5611          | 0.4940  | 0.5611 |
| No log        | 5.5   | 22   | 0.5294          | 0.5714  | 0.5294 |
| No log        | 6.0   | 24   | 0.5033          | 0.5670  | 0.5033 |
| No log        | 6.5   | 26   | 0.4918          | 0.6010  | 0.4918 |
| No log        | 7.0   | 28   | 0.4919          | 0.6010  | 0.4919 |
| No log        | 7.5   | 30   | 0.4963          | 0.6010  | 0.4963 |
| No log        | 8.0   | 32   | 0.4997          | 0.6010  | 0.4997 |
| No log        | 8.5   | 34   | 0.4990          | 0.6010  | 0.4990 |
| No log        | 9.0   | 36   | 0.4963          | 0.6010  | 0.4963 |
| No log        | 9.5   | 38   | 0.4948          | 0.6010  | 0.4948 |
| No log        | 10.0  | 40   | 0.4941          | 0.6010  | 0.4941 |


### Framework versions

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