---
base_model: aubmindlab/bert-base-arabertv02
tags:
- generated_from_trainer
model-index:
- name: arabert_baseline_grammar_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_grammar_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: 0.2845
- Qwk: 0.7701
- Mse: 0.2845

## 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    | 1.4505          | 0.2222 | 1.4505 |
| No log        | 1.0   | 4    | 0.9573          | 0.4455 | 0.9573 |
| No log        | 1.5   | 6    | 0.5247          | 0.5852 | 0.5247 |
| No log        | 2.0   | 8    | 0.9251          | 0.5783 | 0.9251 |
| No log        | 2.5   | 10   | 0.3991          | 0.6688 | 0.3991 |
| No log        | 3.0   | 12   | 0.2870          | 0.8323 | 0.2870 |
| No log        | 3.5   | 14   | 0.2995          | 0.8323 | 0.2995 |
| No log        | 4.0   | 16   | 0.3141          | 0.8062 | 0.3141 |
| No log        | 4.5   | 18   | 0.3722          | 0.6994 | 0.3722 |
| No log        | 5.0   | 20   | 0.3507          | 0.6994 | 0.3507 |
| No log        | 5.5   | 22   | 0.3458          | 0.6087 | 0.3458 |
| No log        | 6.0   | 24   | 0.2616          | 0.8146 | 0.2616 |
| No log        | 6.5   | 26   | 0.2314          | 0.8350 | 0.2314 |
| No log        | 7.0   | 28   | 0.2388          | 0.8350 | 0.2388 |
| No log        | 7.5   | 30   | 0.2311          | 0.8627 | 0.2311 |
| No log        | 8.0   | 32   | 0.2383          | 0.8889 | 0.2383 |
| No log        | 8.5   | 34   | 0.2552          | 0.8627 | 0.2552 |
| No log        | 9.0   | 36   | 0.2780          | 0.7785 | 0.2780 |
| No log        | 9.5   | 38   | 0.2870          | 0.7701 | 0.2870 |
| No log        | 10.0  | 40   | 0.2845          | 0.7701 | 0.2845 |


### Framework versions

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