---
base_model: aubmindlab/bert-base-arabertv02
tags:
- generated_from_trainer
model-index:
- name: arabert_baseline_grammar_task7_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_grammar_task7_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: 0.5572
- Qwk: 0.5704
- Mse: 0.5572

## 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        | 0.3333 | 2    | 1.4661          | 0.0977 | 1.4661 |
| No log        | 0.6667 | 4    | 0.7644          | 0.4444 | 0.7644 |
| No log        | 1.0    | 6    | 0.8832          | 0.4242 | 0.8832 |
| No log        | 1.3333 | 8    | 1.3294          | 0.4231 | 1.3294 |
| No log        | 1.6667 | 10   | 0.7718          | 0.4272 | 0.7718 |
| No log        | 2.0    | 12   | 0.4503          | 0.5679 | 0.4503 |
| No log        | 2.3333 | 14   | 0.5309          | 0.5417 | 0.5309 |
| No log        | 2.6667 | 16   | 0.5822          | 0.5149 | 0.5822 |
| No log        | 3.0    | 18   | 0.9504          | 0.4242 | 0.9504 |
| No log        | 3.3333 | 20   | 1.2071          | 0.4068 | 1.2071 |
| No log        | 3.6667 | 22   | 0.8892          | 0.4242 | 0.8892 |
| No log        | 4.0    | 24   | 0.5812          | 0.5149 | 0.5812 |
| No log        | 4.3333 | 26   | 0.5065          | 0.5149 | 0.5065 |
| No log        | 4.6667 | 28   | 0.5216          | 0.5149 | 0.5216 |
| No log        | 5.0    | 30   | 0.5606          | 0.5091 | 0.5606 |
| No log        | 5.3333 | 32   | 0.6888          | 0.4257 | 0.6888 |
| No log        | 5.6667 | 34   | 0.6926          | 0.4257 | 0.6926 |
| No log        | 6.0    | 36   | 0.5721          | 0.5139 | 0.5721 |
| No log        | 6.3333 | 38   | 0.4835          | 0.6127 | 0.4835 |
| No log        | 6.6667 | 40   | 0.4666          | 0.6127 | 0.4666 |
| No log        | 7.0    | 42   | 0.4944          | 0.6127 | 0.4944 |
| No log        | 7.3333 | 44   | 0.5939          | 0.5704 | 0.5939 |
| No log        | 7.6667 | 46   | 0.7085          | 0.4828 | 0.7085 |
| No log        | 8.0    | 48   | 0.7680          | 0.4620 | 0.7680 |
| No log        | 8.3333 | 50   | 0.7277          | 0.4828 | 0.7277 |
| No log        | 8.6667 | 52   | 0.6480          | 0.4828 | 0.6480 |
| No log        | 9.0    | 54   | 0.6116          | 0.5085 | 0.6116 |
| No log        | 9.3333 | 56   | 0.5764          | 0.5704 | 0.5764 |
| No log        | 9.6667 | 58   | 0.5647          | 0.5704 | 0.5647 |
| No log        | 10.0   | 60   | 0.5572          | 0.5704 | 0.5572 |


### Framework versions

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