---
base_model: aubmindlab/bert-base-arabertv02
tags:
- generated_from_trainer
model-index:
- name: arabert_baseline_relevance_task3_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_relevance_task3_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: 0.4533
- Qwk: 0.0
- Mse: 0.4662

## 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        | 0.6667 | 2    | 0.5670          | 0.0237 | 0.5557 |
| No log        | 1.3333 | 4    | 0.2239          | 0.0    | 0.2180 |
| No log        | 2.0    | 6    | 0.2912          | 0.0    | 0.2878 |
| No log        | 2.6667 | 8    | 0.3225          | 0.0    | 0.3205 |
| No log        | 3.3333 | 10   | 0.3274          | 0.0    | 0.3276 |
| No log        | 4.0    | 12   | 0.3260          | 0.0    | 0.3295 |
| No log        | 4.6667 | 14   | 0.3269          | 0.0    | 0.3323 |
| No log        | 5.3333 | 16   | 0.3627          | 0.0    | 0.3697 |
| No log        | 6.0    | 18   | 0.3851          | 0.0    | 0.3932 |
| No log        | 6.6667 | 20   | 0.3452          | 0.0    | 0.3543 |
| No log        | 7.3333 | 22   | 0.3589          | 0.0    | 0.3692 |
| No log        | 8.0    | 24   | 0.3714          | 0.0    | 0.3825 |
| No log        | 8.6667 | 26   | 0.4113          | 0.0    | 0.4233 |
| No log        | 9.3333 | 28   | 0.4400          | 0.0    | 0.4526 |
| No log        | 10.0   | 30   | 0.4533          | 0.0    | 0.4662 |


### Framework versions

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