---
base_model: aubmindlab/bert-base-arabertv02
tags:
- generated_from_trainer
model-index:
- name: arabert_baseline_grammar_task8_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_task8_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: 0.5087
- Qwk: 0.6725
- Mse: 0.5087

## 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    | 2.2317          | 0.0    | 2.2317 |
| No log        | 1.0   | 4    | 1.4866          | 0.2297 | 1.4866 |
| No log        | 1.5   | 6    | 1.0270          | 0.5643 | 1.0270 |
| No log        | 2.0   | 8    | 1.1388          | 0.4074 | 1.1388 |
| No log        | 2.5   | 10   | 1.0946          | 0.4074 | 1.0946 |
| No log        | 3.0   | 12   | 0.5591          | 0.6159 | 0.5591 |
| No log        | 3.5   | 14   | 0.5042          | 0.6216 | 0.5042 |
| No log        | 4.0   | 16   | 0.4874          | 0.6585 | 0.4874 |
| No log        | 4.5   | 18   | 0.5862          | 0.6053 | 0.5862 |
| No log        | 5.0   | 20   | 0.7098          | 0.5549 | 0.7098 |
| No log        | 5.5   | 22   | 0.6879          | 0.5549 | 0.6879 |
| No log        | 6.0   | 24   | 0.5641          | 0.6053 | 0.5641 |
| No log        | 6.5   | 26   | 0.5895          | 0.6725 | 0.5895 |
| No log        | 7.0   | 28   | 0.6417          | 0.6211 | 0.6417 |
| No log        | 7.5   | 30   | 0.7537          | 0.6211 | 0.7537 |
| No log        | 8.0   | 32   | 0.6776          | 0.6211 | 0.6776 |
| No log        | 8.5   | 34   | 0.6081          | 0.6211 | 0.6081 |
| No log        | 9.0   | 36   | 0.5508          | 0.6725 | 0.5508 |
| No log        | 9.5   | 38   | 0.5104          | 0.6725 | 0.5104 |
| No log        | 10.0  | 40   | 0.5087          | 0.6725 | 0.5087 |


### Framework versions

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