---
base_model: aubmindlab/bert-base-arabertv02
tags:
- generated_from_trainer
model-index:
- name: arabert_baseline_development_task8_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_development_task8_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: 0.2965
- Qwk: 0.5749
- Mse: 0.2965

## 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    | 0.9461          | 0.2857 | 0.9461 |
| No log        | 1.0   | 4    | 0.6077          | 0.6164 | 0.6077 |
| No log        | 1.5   | 6    | 0.4804          | 0.5646 | 0.4804 |
| No log        | 2.0   | 8    | 1.7805          | 0.1870 | 1.7805 |
| No log        | 2.5   | 10   | 0.8599          | 0.3772 | 0.8599 |
| No log        | 3.0   | 12   | 0.2911          | 0.6316 | 0.2911 |
| No log        | 3.5   | 14   | 0.2592          | 0.6316 | 0.2592 |
| No log        | 4.0   | 16   | 0.2544          | 0.6316 | 0.2544 |
| No log        | 4.5   | 18   | 0.2769          | 0.6316 | 0.2769 |
| No log        | 5.0   | 20   | 0.3520          | 0.5749 | 0.3520 |
| No log        | 5.5   | 22   | 0.4464          | 0.5556 | 0.4464 |
| No log        | 6.0   | 24   | 0.4041          | 0.5749 | 0.4041 |
| No log        | 6.5   | 26   | 0.3621          | 0.6719 | 0.3621 |
| No log        | 7.0   | 28   | 0.3337          | 0.7094 | 0.3337 |
| No log        | 7.5   | 30   | 0.2849          | 0.7094 | 0.2849 |
| No log        | 8.0   | 32   | 0.2691          | 0.7342 | 0.2691 |
| No log        | 8.5   | 34   | 0.2750          | 0.6719 | 0.2750 |
| No log        | 9.0   | 36   | 0.2882          | 0.5749 | 0.2882 |
| No log        | 9.5   | 38   | 0.2930          | 0.5749 | 0.2930 |
| No log        | 10.0  | 40   | 0.2965          | 0.5749 | 0.2965 |


### Framework versions

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