---
base_model: aubmindlab/bert-base-arabertv02
tags:
- generated_from_trainer
model-index:
- name: arabert_baseline_vocabulary_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_vocabulary_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: 0.6726
- Qwk: 0.5254
- Mse: 0.6726

## 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    | 2.0038          | 0.1716 | 2.0038 |
| No log        | 1.0   | 4    | 1.1639          | 0.2784 | 1.1639 |
| No log        | 1.5   | 6    | 1.1803          | 0.3913 | 1.1803 |
| No log        | 2.0   | 8    | 1.1071          | 0.3913 | 1.1071 |
| No log        | 2.5   | 10   | 0.9655          | 0.3704 | 0.9655 |
| No log        | 3.0   | 12   | 0.8333          | 0.3913 | 0.8333 |
| No log        | 3.5   | 14   | 0.7862          | 0.5842 | 0.7862 |
| No log        | 4.0   | 16   | 0.8551          | 0.7177 | 0.8551 |
| No log        | 4.5   | 18   | 0.8190          | 0.7287 | 0.8190 |
| No log        | 5.0   | 20   | 0.7070          | 0.6667 | 0.7070 |
| No log        | 5.5   | 22   | 0.7251          | 0.5776 | 0.7251 |
| No log        | 6.0   | 24   | 0.6939          | 0.6667 | 0.6939 |
| No log        | 6.5   | 26   | 0.6876          | 0.7083 | 0.6876 |
| No log        | 7.0   | 28   | 0.7065          | 0.7829 | 0.7065 |
| No log        | 7.5   | 30   | 0.7210          | 0.7829 | 0.7210 |
| No log        | 8.0   | 32   | 0.6907          | 0.7470 | 0.6907 |
| No log        | 8.5   | 34   | 0.6729          | 0.7083 | 0.6729 |
| No log        | 9.0   | 36   | 0.6723          | 0.7083 | 0.6723 |
| No log        | 9.5   | 38   | 0.6740          | 0.5254 | 0.6740 |
| No log        | 10.0  | 40   | 0.6726          | 0.5254 | 0.6726 |


### Framework versions

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