---
base_model: aubmindlab/bert-base-arabertv02
tags:
- generated_from_trainer
model-index:
- name: arabert_baseline_development_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_development_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: 0.4958
- Qwk: 0.5513
- Mse: 0.4958

## 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    | 0.8754          | 0.1390 | 0.8754 |
| No log        | 1.0   | 4    | 0.7157          | 0.5039 | 0.7157 |
| No log        | 1.5   | 6    | 0.6589          | 0.3713 | 0.6589 |
| No log        | 2.0   | 8    | 0.8933          | 0.2857 | 0.8933 |
| No log        | 2.5   | 10   | 0.4415          | 0.5679 | 0.4415 |
| No log        | 3.0   | 12   | 0.7544          | 0.5532 | 0.7544 |
| No log        | 3.5   | 14   | 0.6791          | 0.4380 | 0.6791 |
| No log        | 4.0   | 16   | 0.5398          | 0.4762 | 0.5398 |
| No log        | 4.5   | 18   | 0.5209          | 0.5096 | 0.5209 |
| No log        | 5.0   | 20   | 0.5172          | 0.5395 | 0.5172 |
| No log        | 5.5   | 22   | 0.6042          | 0.4085 | 0.6042 |
| No log        | 6.0   | 24   | 0.6539          | 0.5205 | 0.6539 |
| No log        | 6.5   | 26   | 0.6064          | 0.4901 | 0.6064 |
| No log        | 7.0   | 28   | 0.5186          | 0.4762 | 0.5186 |
| No log        | 7.5   | 30   | 0.4734          | 0.5395 | 0.4734 |
| No log        | 8.0   | 32   | 0.4610          | 0.5395 | 0.4610 |
| No log        | 8.5   | 34   | 0.4597          | 0.5395 | 0.4597 |
| No log        | 9.0   | 36   | 0.4714          | 0.5395 | 0.4714 |
| No log        | 9.5   | 38   | 0.4877          | 0.5513 | 0.4877 |
| No log        | 10.0  | 40   | 0.4958          | 0.5513 | 0.4958 |


### Framework versions

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