---
base_model: aubmindlab/bert-base-arabertv02
tags:
- generated_from_trainer
model-index:
- name: arabert_baseline_vocabulary_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_vocabulary_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: 0.4086
- Qwk: 0.7322
- Mse: 0.4086

## 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    | 1.1281          | 0.0558 | 1.1281 |
| No log        | 1.0   | 4    | 0.6605          | 0.4309 | 0.6605 |
| No log        | 1.5   | 6    | 0.8109          | 0.4615 | 0.8109 |
| No log        | 2.0   | 8    | 0.8404          | 0.3450 | 0.8404 |
| No log        | 2.5   | 10   | 0.7598          | 0.3277 | 0.7598 |
| No log        | 3.0   | 12   | 0.4728          | 0.4717 | 0.4728 |
| No log        | 3.5   | 14   | 0.4115          | 0.5238 | 0.4115 |
| No log        | 4.0   | 16   | 0.4736          | 0.7219 | 0.4736 |
| No log        | 4.5   | 18   | 0.4966          | 0.7135 | 0.4966 |
| No log        | 5.0   | 20   | 0.4737          | 0.6595 | 0.4737 |
| No log        | 5.5   | 22   | 0.4965          | 0.6595 | 0.4965 |
| No log        | 6.0   | 24   | 0.4565          | 0.7068 | 0.4565 |
| No log        | 6.5   | 26   | 0.5170          | 0.6595 | 0.5170 |
| No log        | 7.0   | 28   | 0.4977          | 0.6595 | 0.4977 |
| No log        | 7.5   | 30   | 0.4286          | 0.7322 | 0.4286 |
| No log        | 8.0   | 32   | 0.3945          | 0.7778 | 0.3945 |
| No log        | 8.5   | 34   | 0.3857          | 0.7778 | 0.3857 |
| No log        | 9.0   | 36   | 0.3903          | 0.7778 | 0.3903 |
| No log        | 9.5   | 38   | 0.4015          | 0.7778 | 0.4015 |
| No log        | 10.0  | 40   | 0.4086          | 0.7322 | 0.4086 |


### Framework versions

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