---
base_model: aubmindlab/bert-base-arabertv02
tags:
- generated_from_trainer
model-index:
- name: arabert_baseline_organization_task7_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_task7_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: 0.4509
- Qwk: 0.6
- Mse: 0.4509

## 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        | 0.3333 | 2    | 1.2538          | 0.1333 | 1.2538 |
| No log        | 0.6667 | 4    | 0.6732          | 0.5116 | 0.6732 |
| No log        | 1.0    | 6    | 1.0128          | 0.3810 | 1.0128 |
| No log        | 1.3333 | 8    | 0.6424          | 0.5455 | 0.6424 |
| No log        | 1.6667 | 10   | 0.6331          | 0.5455 | 0.6331 |
| No log        | 2.0    | 12   | 0.6841          | 0.5455 | 0.6841 |
| No log        | 2.3333 | 14   | 0.6488          | 0.5306 | 0.6488 |
| No log        | 2.6667 | 16   | 0.7438          | 0.5185 | 0.7438 |
| No log        | 3.0    | 18   | 1.0106          | 0.3636 | 1.0106 |
| No log        | 3.3333 | 20   | 1.0009          | 0.3810 | 1.0009 |
| No log        | 3.6667 | 22   | 0.6870          | 0.5098 | 0.6870 |
| No log        | 4.0    | 24   | 0.5375          | 0.5106 | 0.5375 |
| No log        | 4.3333 | 26   | 0.5197          | 0.55   | 0.5197 |
| No log        | 4.6667 | 28   | 0.5082          | 0.5366 | 0.5082 |
| No log        | 5.0    | 30   | 0.5130          | 0.5652 | 0.5130 |
| No log        | 5.3333 | 32   | 0.5730          | 0.56   | 0.5730 |
| No log        | 5.6667 | 34   | 0.5916          | 0.56   | 0.5916 |
| No log        | 6.0    | 36   | 0.5065          | 0.5306 | 0.5065 |
| No log        | 6.3333 | 38   | 0.4667          | 0.6    | 0.4667 |
| No log        | 6.6667 | 40   | 0.4403          | 0.6    | 0.4403 |
| No log        | 7.0    | 42   | 0.4374          | 0.6    | 0.4374 |
| No log        | 7.3333 | 44   | 0.4427          | 0.6    | 0.4427 |
| No log        | 7.6667 | 46   | 0.4590          | 0.6    | 0.4590 |
| No log        | 8.0    | 48   | 0.4783          | 0.6275 | 0.4783 |
| No log        | 8.3333 | 50   | 0.4751          | 0.6275 | 0.4751 |
| No log        | 8.6667 | 52   | 0.4701          | 0.6275 | 0.4701 |
| No log        | 9.0    | 54   | 0.4678          | 0.6275 | 0.4678 |
| No log        | 9.3333 | 56   | 0.4574          | 0.6275 | 0.4574 |
| No log        | 9.6667 | 58   | 0.4535          | 0.6    | 0.4535 |
| No log        | 10.0   | 60   | 0.4509          | 0.6    | 0.4509 |


### Framework versions

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