---
base_model: aubmindlab/bert-base-arabertv02
tags:
- generated_from_trainer
model-index:
- name: arabert_baseline_development_task3_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_development_task3_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: 0.8217
- Qwk: -0.0645
- Mse: 0.7668

## 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    | 3.8893          | -0.0248 | 3.7493 |
| No log        | 1.3333 | 4    | 1.6163          | -0.1603 | 1.5205 |
| No log        | 2.0    | 6    | 1.3910          | -0.0522 | 1.3168 |
| No log        | 2.6667 | 8    | 0.9920          | -0.1846 | 0.9528 |
| No log        | 3.3333 | 10   | 0.9604          | -0.5098 | 0.9287 |
| No log        | 4.0    | 12   | 0.7779          | -0.1308 | 0.7306 |
| No log        | 4.6667 | 14   | 0.7914          | 0.0     | 0.7387 |
| No log        | 5.3333 | 16   | 0.8497          | 0.0     | 0.7909 |
| No log        | 6.0    | 18   | 0.8019          | 0.0351  | 0.7466 |
| No log        | 6.6667 | 20   | 0.7900          | 0.0748  | 0.7369 |
| No log        | 7.3333 | 22   | 0.7934          | -0.0645 | 0.7422 |
| No log        | 8.0    | 24   | 0.8050          | -0.0645 | 0.7531 |
| No log        | 8.6667 | 26   | 0.8063          | -0.0645 | 0.7543 |
| No log        | 9.3333 | 28   | 0.8142          | -0.0645 | 0.7607 |
| No log        | 10.0   | 30   | 0.8217          | -0.0645 | 0.7668 |


### Framework versions

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