---
base_model: aubmindlab/bert-base-arabertv02
tags:
- generated_from_trainer
model-index:
- name: arabert_baseline_relevance_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_relevance_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: 0.4526
- Qwk: 0.3226
- Mse: 0.4526

## 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    | 0.6801          | 0.0541 | 0.6801 |
| No log        | 1.0   | 4    | 0.6246          | 0.1127 | 0.6246 |
| No log        | 1.5   | 6    | 0.5719          | 0.2222 | 0.5719 |
| No log        | 2.0   | 8    | 0.4467          | 0.2222 | 0.4467 |
| No log        | 2.5   | 10   | 0.4958          | 0.3288 | 0.4958 |
| No log        | 3.0   | 12   | 0.4784          | 0.4324 | 0.4784 |
| No log        | 3.5   | 14   | 0.4142          | 0.5116 | 0.4142 |
| No log        | 4.0   | 16   | 0.4299          | 0.5977 | 0.4299 |
| No log        | 4.5   | 18   | 0.4577          | 0.58   | 0.4577 |
| No log        | 5.0   | 20   | 0.4773          | 0.5664 | 0.4773 |
| No log        | 5.5   | 22   | 0.4936          | 0.5664 | 0.4936 |
| No log        | 6.0   | 24   | 0.4974          | 0.5000 | 0.4974 |
| No log        | 6.5   | 26   | 0.5038          | 0.5088 | 0.5038 |
| No log        | 7.0   | 28   | 0.5060          | 0.3937 | 0.5060 |
| No log        | 7.5   | 30   | 0.4888          | 0.4444 | 0.4888 |
| No log        | 8.0   | 32   | 0.4685          | 0.4444 | 0.4685 |
| No log        | 8.5   | 34   | 0.4544          | 0.3226 | 0.4544 |
| No log        | 9.0   | 36   | 0.4497          | 0.3226 | 0.4497 |
| No log        | 9.5   | 38   | 0.4507          | 0.3226 | 0.4507 |
| No log        | 10.0  | 40   | 0.4526          | 0.3226 | 0.4526 |


### Framework versions

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