---
base_model: aubmindlab/bert-base-arabertv02
tags:
- generated_from_trainer
model-index:
- name: arabert_baseline_grammar_task7_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_task7_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: 0.5050
- Qwk: 0.6844
- Mse: 0.4943

## 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    | 1.0262          | 0.2825 | 1.0304 |
| No log        | 0.6667 | 4    | 0.6994          | 0.6208 | 0.7254 |
| No log        | 1.0    | 6    | 0.8144          | 0.4225 | 0.8374 |
| No log        | 1.3333 | 8    | 0.6492          | 0.5810 | 0.6643 |
| No log        | 1.6667 | 10   | 0.6577          | 0.4    | 0.6679 |
| No log        | 2.0    | 12   | 0.5578          | 0.5957 | 0.5665 |
| No log        | 2.3333 | 14   | 0.5481          | 0.6030 | 0.5532 |
| No log        | 2.6667 | 16   | 0.4901          | 0.6290 | 0.4927 |
| No log        | 3.0    | 18   | 0.4569          | 0.6780 | 0.4570 |
| No log        | 3.3333 | 20   | 0.4974          | 0.6780 | 0.4927 |
| No log        | 3.6667 | 22   | 0.5556          | 0.5326 | 0.5459 |
| No log        | 4.0    | 24   | 0.5207          | 0.6370 | 0.5092 |
| No log        | 4.3333 | 26   | 0.5155          | 0.6370 | 0.5024 |
| No log        | 4.6667 | 28   | 0.5426          | 0.6370 | 0.5277 |
| No log        | 5.0    | 30   | 0.5586          | 0.6416 | 0.5432 |
| No log        | 5.3333 | 32   | 0.5285          | 0.6844 | 0.5150 |
| No log        | 5.6667 | 34   | 0.4857          | 0.6844 | 0.4750 |
| No log        | 6.0    | 36   | 0.4315          | 0.6780 | 0.4244 |
| No log        | 6.3333 | 38   | 0.4483          | 0.6780 | 0.4406 |
| No log        | 6.6667 | 40   | 0.5122          | 0.6844 | 0.5019 |
| No log        | 7.0    | 42   | 0.5586          | 0.6283 | 0.5467 |
| No log        | 7.3333 | 44   | 0.5142          | 0.6844 | 0.5032 |
| No log        | 7.6667 | 46   | 0.4644          | 0.6844 | 0.4552 |
| No log        | 8.0    | 48   | 0.4307          | 0.6780 | 0.4234 |
| No log        | 8.3333 | 50   | 0.4377          | 0.6780 | 0.4300 |
| No log        | 8.6667 | 52   | 0.4662          | 0.6780 | 0.4571 |
| No log        | 9.0    | 54   | 0.4977          | 0.6844 | 0.4873 |
| No log        | 9.3333 | 56   | 0.5069          | 0.6844 | 0.4961 |
| No log        | 9.6667 | 58   | 0.5095          | 0.6844 | 0.4985 |
| No log        | 10.0   | 60   | 0.5050          | 0.6844 | 0.4943 |


### Framework versions

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