---
base_model: aubmindlab/bert-base-arabertv02
tags:
- generated_from_trainer
model-index:
- name: arabert_baseline_development_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_development_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: 0.3255
- Qwk: 0.6
- Mse: 0.3255

## 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    | 1.1202          | 0.0777 | 1.1202 |
| No log        | 0.6667 | 4    | 0.6041          | 0.4521 | 0.6041 |
| No log        | 1.0    | 6    | 0.5933          | 0.4048 | 0.5933 |
| No log        | 1.3333 | 8    | 0.6033          | 0.4186 | 0.6033 |
| No log        | 1.6667 | 10   | 0.4045          | 0.5380 | 0.4045 |
| No log        | 2.0    | 12   | 0.4962          | 0.5370 | 0.4962 |
| No log        | 2.3333 | 14   | 0.4729          | 0.5380 | 0.4729 |
| No log        | 2.6667 | 16   | 0.4672          | 0.4643 | 0.4672 |
| No log        | 3.0    | 18   | 0.5466          | 0.4421 | 0.5466 |
| No log        | 3.3333 | 20   | 0.6361          | 0.4508 | 0.6361 |
| No log        | 3.6667 | 22   | 0.4635          | 0.4421 | 0.4635 |
| No log        | 4.0    | 24   | 0.3643          | 0.6    | 0.3643 |
| No log        | 4.3333 | 26   | 0.3664          | 0.6237 | 0.3664 |
| No log        | 4.6667 | 28   | 0.3535          | 0.6    | 0.3535 |
| No log        | 5.0    | 30   | 0.3681          | 0.5545 | 0.3681 |
| No log        | 5.3333 | 32   | 0.3906          | 0.5327 | 0.3906 |
| No log        | 5.6667 | 34   | 0.3676          | 0.5327 | 0.3676 |
| No log        | 6.0    | 36   | 0.3373          | 0.6    | 0.3373 |
| No log        | 6.3333 | 38   | 0.3425          | 0.6324 | 0.3425 |
| No log        | 6.6667 | 40   | 0.3594          | 0.5960 | 0.3594 |
| No log        | 7.0    | 42   | 0.3550          | 0.6    | 0.3550 |
| No log        | 7.3333 | 44   | 0.3547          | 0.5874 | 0.3547 |
| No log        | 7.6667 | 46   | 0.3761          | 0.5726 | 0.3761 |
| No log        | 8.0    | 48   | 0.3915          | 0.5726 | 0.3915 |
| No log        | 8.3333 | 50   | 0.3777          | 0.5726 | 0.3777 |
| No log        | 8.6667 | 52   | 0.3558          | 0.5642 | 0.3558 |
| No log        | 9.0    | 54   | 0.3383          | 0.5874 | 0.3383 |
| No log        | 9.3333 | 56   | 0.3286          | 0.6    | 0.3286 |
| No log        | 9.6667 | 58   | 0.3263          | 0.6    | 0.3263 |
| No log        | 10.0   | 60   | 0.3255          | 0.6    | 0.3255 |


### Framework versions

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