---
base_model: aubmindlab/bert-base-arabertv02
tags:
- generated_from_trainer
model-index:
- name: arabert_baseline_vocabulary_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_vocabulary_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: 0.3528
- Qwk: 0.6935
- Mse: 0.3528

## 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    | 1.5791          | 0.0862 | 1.5791 |
| No log        | 0.6667 | 4    | 0.7772          | 0.4706 | 0.7772 |
| No log        | 1.0    | 6    | 0.7965          | 0.4532 | 0.7965 |
| No log        | 1.3333 | 8    | 0.6398          | 0.4532 | 0.6398 |
| No log        | 1.6667 | 10   | 0.3283          | 0.6814 | 0.3283 |
| No log        | 2.0    | 12   | 0.3264          | 0.6814 | 0.3264 |
| No log        | 2.3333 | 14   | 0.5269          | 0.5702 | 0.5269 |
| No log        | 2.6667 | 16   | 0.5821          | 0.4880 | 0.5821 |
| No log        | 3.0    | 18   | 0.5634          | 0.4918 | 0.5634 |
| No log        | 3.3333 | 20   | 0.3969          | 0.6316 | 0.3969 |
| No log        | 3.6667 | 22   | 0.3136          | 0.6792 | 0.3136 |
| No log        | 4.0    | 24   | 0.3010          | 0.7265 | 0.3010 |
| No log        | 4.3333 | 26   | 0.3722          | 0.6850 | 0.3722 |
| No log        | 4.6667 | 28   | 0.5081          | 0.6769 | 0.5081 |
| No log        | 5.0    | 30   | 0.5267          | 0.6788 | 0.5267 |
| No log        | 5.3333 | 32   | 0.4329          | 0.6935 | 0.4329 |
| No log        | 5.6667 | 34   | 0.2874          | 0.7797 | 0.2874 |
| No log        | 6.0    | 36   | 0.2708          | 0.7797 | 0.2708 |
| No log        | 6.3333 | 38   | 0.2866          | 0.7797 | 0.2866 |
| No log        | 6.6667 | 40   | 0.3412          | 0.7355 | 0.3412 |
| No log        | 7.0    | 42   | 0.4474          | 0.6935 | 0.4474 |
| No log        | 7.3333 | 44   | 0.4536          | 0.6947 | 0.4536 |
| No log        | 7.6667 | 46   | 0.3805          | 0.6935 | 0.3805 |
| No log        | 8.0    | 48   | 0.3311          | 0.7355 | 0.3311 |
| No log        | 8.3333 | 50   | 0.3056          | 0.7797 | 0.3056 |
| No log        | 8.6667 | 52   | 0.3214          | 0.7355 | 0.3214 |
| No log        | 9.0    | 54   | 0.3432          | 0.6935 | 0.3432 |
| No log        | 9.3333 | 56   | 0.3493          | 0.6935 | 0.3493 |
| No log        | 9.6667 | 58   | 0.3560          | 0.6935 | 0.3560 |
| No log        | 10.0   | 60   | 0.3528          | 0.6935 | 0.3528 |


### Framework versions

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