---
base_model: aubmindlab/bert-base-arabertv02
tags:
- generated_from_trainer
model-index:
- name: arabert_baseline_organization_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_organization_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: 0.2898
- Qwk: 0.7030
- Mse: 0.2898

## 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    | 0.9213          | 0.0731 | 0.9213 |
| No log        | 1.0   | 4    | 0.6822          | 0.1579 | 0.6822 |
| No log        | 1.5   | 6    | 0.6736          | 0.5214 | 0.6736 |
| No log        | 2.0   | 8    | 0.5063          | 0.5950 | 0.5063 |
| No log        | 2.5   | 10   | 0.4323          | 0.7287 | 0.4323 |
| No log        | 3.0   | 12   | 0.3923          | 0.6028 | 0.3923 |
| No log        | 3.5   | 14   | 0.3540          | 0.5655 | 0.3540 |
| No log        | 4.0   | 16   | 0.3227          | 0.6045 | 0.3227 |
| No log        | 4.5   | 18   | 0.3808          | 0.5971 | 0.3808 |
| No log        | 5.0   | 20   | 0.3736          | 0.5987 | 0.3736 |
| No log        | 5.5   | 22   | 0.3093          | 0.6940 | 0.3093 |
| No log        | 6.0   | 24   | 0.2786          | 0.6335 | 0.2786 |
| No log        | 6.5   | 26   | 0.2805          | 0.6631 | 0.2805 |
| No log        | 7.0   | 28   | 0.2913          | 0.6940 | 0.2913 |
| No log        | 7.5   | 30   | 0.3159          | 0.7030 | 0.3159 |
| No log        | 8.0   | 32   | 0.3198          | 0.76   | 0.3198 |
| No log        | 8.5   | 34   | 0.3167          | 0.76   | 0.3167 |
| No log        | 9.0   | 36   | 0.3027          | 0.7030 | 0.3027 |
| No log        | 9.5   | 38   | 0.2926          | 0.7030 | 0.2926 |
| No log        | 10.0  | 40   | 0.2898          | 0.7030 | 0.2898 |


### Framework versions

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