---
base_model: aubmindlab/bert-base-arabertv02
tags:
- generated_from_trainer
model-index:
- name: arabert_baseline_organization_task4_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_organization_task4_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: 0.8940
- Qwk: 0.0
- Mse: 0.8940

## 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        | 1.0   | 2    | 6.5690          | 0.0     | 6.5690 |
| No log        | 2.0   | 4    | 4.8498          | 0.0     | 4.8498 |
| No log        | 3.0   | 6    | 3.8531          | -0.0476 | 3.8531 |
| No log        | 4.0   | 8    | 3.0568          | 0.0     | 3.0568 |
| No log        | 5.0   | 10   | 2.0163          | 0.0     | 2.0163 |
| No log        | 6.0   | 12   | 1.4680          | 0.0     | 1.4680 |
| No log        | 7.0   | 14   | 1.1864          | 0.12    | 1.1864 |
| No log        | 8.0   | 16   | 1.0227          | 0.0     | 1.0227 |
| No log        | 9.0   | 18   | 0.9245          | 0.0     | 0.9245 |
| No log        | 10.0  | 20   | 0.8940          | 0.0     | 0.8940 |


### Framework versions

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