---
base_model: aubmindlab/bert-base-arabertv02
tags:
- generated_from_trainer
model-index:
- name: arabert_baseline_grammar_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_grammar_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: 0.7851
- Qwk: 0.7296
- Mse: 0.7851

## 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    | 1.4135          | -0.0678 | 1.4135 |
| No log        | 1.0   | 4    | 0.9828          | 0.5032  | 0.9828 |
| No log        | 1.5   | 6    | 1.1603          | 0.3288  | 1.1603 |
| No log        | 2.0   | 8    | 1.0440          | 0.2036  | 1.0440 |
| No log        | 2.5   | 10   | 0.8854          | 0.2383  | 0.8854 |
| No log        | 3.0   | 12   | 0.7492          | 0.4348  | 0.7492 |
| No log        | 3.5   | 14   | 0.7513          | 0.4348  | 0.7513 |
| No log        | 4.0   | 16   | 0.8038          | 0.6500  | 0.8038 |
| No log        | 4.5   | 18   | 0.8093          | 0.6500  | 0.8093 |
| No log        | 5.0   | 20   | 0.8924          | 0.6847  | 0.8924 |
| No log        | 5.5   | 22   | 1.0282          | 0.6805  | 1.0282 |
| No log        | 6.0   | 24   | 0.9757          | 0.7296  | 0.9757 |
| No log        | 6.5   | 26   | 0.9823          | 0.7296  | 0.9823 |
| No log        | 7.0   | 28   | 0.9823          | 0.6957  | 0.9823 |
| No log        | 7.5   | 30   | 0.8153          | 0.7296  | 0.8153 |
| No log        | 8.0   | 32   | 0.7571          | 0.6192  | 0.7571 |
| No log        | 8.5   | 34   | 0.7411          | 0.7014  | 0.7411 |
| No log        | 9.0   | 36   | 0.7685          | 0.7296  | 0.7685 |
| No log        | 9.5   | 38   | 0.7773          | 0.7296  | 0.7773 |
| No log        | 10.0  | 40   | 0.7851          | 0.7296  | 0.7851 |


### Framework versions

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