---
base_model: aubmindlab/bert-base-arabertv02
tags:
- generated_from_trainer
model-index:
- name: arabert_baseline_development_task6_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_task6_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: 0.7890
- Qwk: 0.4503
- Mse: 0.7890

## 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    | 1.5011          | 0.2195 | 1.5011 |
| No log        | 1.0   | 4    | 1.0235          | 0.3558 | 1.0235 |
| No log        | 1.5   | 6    | 1.1605          | 0.3913 | 1.1605 |
| No log        | 2.0   | 8    | 1.0269          | 0.3558 | 1.0269 |
| No log        | 2.5   | 10   | 0.9070          | 0.3558 | 0.9070 |
| No log        | 3.0   | 12   | 0.8423          | 0.3913 | 0.8423 |
| No log        | 3.5   | 14   | 0.7993          | 0.3558 | 0.7993 |
| No log        | 4.0   | 16   | 0.7964          | 0.4740 | 0.7964 |
| No log        | 4.5   | 18   | 0.8073          | 0.4740 | 0.8073 |
| No log        | 5.0   | 20   | 0.8740          | 0.6091 | 0.8740 |
| No log        | 5.5   | 22   | 0.8159          | 0.6056 | 0.8159 |
| No log        | 6.0   | 24   | 0.8260          | 0.6056 | 0.8260 |
| No log        | 6.5   | 26   | 0.8604          | 0.6056 | 0.8604 |
| No log        | 7.0   | 28   | 0.8853          | 0.6056 | 0.8853 |
| No log        | 7.5   | 30   | 0.8139          | 0.5172 | 0.8139 |
| No log        | 8.0   | 32   | 0.7491          | 0.4503 | 0.7491 |
| No log        | 8.5   | 34   | 0.7564          | 0.4503 | 0.7564 |
| No log        | 9.0   | 36   | 0.7842          | 0.4503 | 0.7842 |
| No log        | 9.5   | 38   | 0.7831          | 0.4503 | 0.7831 |
| No log        | 10.0  | 40   | 0.7890          | 0.4503 | 0.7890 |


### Framework versions

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