---
base_model: aubmindlab/bert-base-arabertv02
tags:
- generated_from_trainer
model-index:
- name: arabert_baseline_organization_task6_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_task6_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: 1.0773
- Qwk: 0.5845
- Mse: 1.0773

## 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    | 1.6373          | 0.1538 | 1.6373 |
| No log        | 1.0   | 4    | 1.2460          | 0.2222 | 1.2460 |
| No log        | 1.5   | 6    | 1.5431          | 0.3000 | 1.5431 |
| No log        | 2.0   | 8    | 1.3210          | 0.2609 | 1.3210 |
| No log        | 2.5   | 10   | 1.0985          | 0.2222 | 1.0985 |
| No log        | 3.0   | 12   | 1.2241          | 0.3000 | 1.2241 |
| No log        | 3.5   | 14   | 1.5282          | 0.4020 | 1.5282 |
| No log        | 4.0   | 16   | 1.3965          | 0.5427 | 1.3965 |
| No log        | 4.5   | 18   | 1.0605          | 0.3636 | 1.0605 |
| No log        | 5.0   | 20   | 1.0157          | 0.3438 | 1.0157 |
| No log        | 5.5   | 22   | 1.1775          | 0.6379 | 1.1775 |
| No log        | 6.0   | 24   | 1.3717          | 0.6638 | 1.3717 |
| No log        | 6.5   | 26   | 1.3937          | 0.6638 | 1.3937 |
| No log        | 7.0   | 28   | 1.2725          | 0.6667 | 1.2725 |
| No log        | 7.5   | 30   | 1.1808          | 0.6379 | 1.1808 |
| No log        | 8.0   | 32   | 1.1076          | 0.4615 | 1.1076 |
| No log        | 8.5   | 34   | 1.0719          | 0.4615 | 1.0719 |
| No log        | 9.0   | 36   | 1.0706          | 0.5845 | 1.0706 |
| No log        | 9.5   | 38   | 1.0719          | 0.5845 | 1.0719 |
| No log        | 10.0  | 40   | 1.0773          | 0.5845 | 1.0773 |


### Framework versions

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