---
base_model: aubmindlab/bert-base-arabertv02
tags:
- generated_from_trainer
model-index:
- name: arabert_baseline_vocabulary_task5_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_vocabulary_task5_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: 0.8715
- Qwk: 0.6491
- Mse: 0.8715

## 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    | 2.2168          | 0.1714 | 2.2168 |
| No log        | 0.6667 | 4    | 2.0041          | 0.0    | 2.0041 |
| No log        | 1.0    | 6    | 1.8058          | 0.0    | 1.8058 |
| No log        | 1.3333 | 8    | 1.6307          | 0.0    | 1.6307 |
| No log        | 1.6667 | 10   | 1.5228          | 0.1055 | 1.5228 |
| No log        | 2.0    | 12   | 1.4956          | 0.1325 | 1.4956 |
| No log        | 2.3333 | 14   | 1.4414          | 0.1842 | 1.4414 |
| No log        | 2.6667 | 16   | 1.3583          | 0.3623 | 1.3583 |
| No log        | 3.0    | 18   | 1.2822          | 0.4602 | 1.2822 |
| No log        | 3.3333 | 20   | 1.2058          | 0.4783 | 1.2058 |
| No log        | 3.6667 | 22   | 1.1388          | 0.5430 | 1.1388 |
| No log        | 4.0    | 24   | 1.0848          | 0.5778 | 1.0848 |
| No log        | 4.3333 | 26   | 1.0520          | 0.5161 | 1.0520 |
| No log        | 4.6667 | 28   | 1.0213          | 0.5161 | 1.0213 |
| No log        | 5.0    | 30   | 0.9946          | 0.4866 | 0.9946 |
| No log        | 5.3333 | 32   | 0.9759          | 0.5368 | 0.9759 |
| No log        | 5.6667 | 34   | 0.9511          | 0.5368 | 0.9511 |
| No log        | 6.0    | 36   | 0.9260          | 0.5662 | 0.9260 |
| No log        | 6.3333 | 38   | 0.9142          | 0.5662 | 0.9142 |
| No log        | 6.6667 | 40   | 0.8995          | 0.5662 | 0.8995 |
| No log        | 7.0    | 42   | 0.9024          | 0.5940 | 0.9024 |
| No log        | 7.3333 | 44   | 0.9102          | 0.5368 | 0.9102 |
| No log        | 7.6667 | 46   | 0.9036          | 0.6258 | 0.9036 |
| No log        | 8.0    | 48   | 0.8943          | 0.6304 | 0.8943 |
| No log        | 8.3333 | 50   | 0.8872          | 0.6042 | 0.8872 |
| No log        | 8.6667 | 52   | 0.8828          | 0.6042 | 0.8828 |
| No log        | 9.0    | 54   | 0.8785          | 0.6491 | 0.8785 |
| No log        | 9.3333 | 56   | 0.8747          | 0.6491 | 0.8747 |
| No log        | 9.6667 | 58   | 0.8725          | 0.6491 | 0.8725 |
| No log        | 10.0   | 60   | 0.8715          | 0.6491 | 0.8715 |


### Framework versions

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