---
base_model: aubmindlab/bert-base-arabertv02
tags:
- generated_from_trainer
model-index:
- name: arabert_baseline_organization_task4_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_organization_task4_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: 1.2734
- Qwk: -0.1579
- Mse: 1.2734

## 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        | 1.0   | 2    | 3.4925          | 0.0133  | 3.4925 |
| No log        | 2.0   | 4    | 1.6289          | 0.0280  | 1.6289 |
| No log        | 3.0   | 6    | 0.8865          | 0.0943  | 0.8865 |
| No log        | 4.0   | 8    | 0.9705          | 0.2195  | 0.9705 |
| No log        | 5.0   | 10   | 1.2103          | 0.1351  | 1.2103 |
| No log        | 6.0   | 12   | 1.3455          | 0.1351  | 1.3455 |
| No log        | 7.0   | 14   | 1.3806          | 0.1351  | 1.3806 |
| No log        | 8.0   | 16   | 1.3165          | 0.1351  | 1.3165 |
| No log        | 9.0   | 18   | 1.2837          | -0.1579 | 1.2837 |
| No log        | 10.0  | 20   | 1.2734          | -0.1579 | 1.2734 |


### Framework versions

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