---
base_model: aubmindlab/bert-base-arabertv02
tags:
- generated_from_trainer
model-index:
- name: arabert_baseline_organization_task5_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_task5_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: 0.5797
- Qwk: 0.6737
- Mse: 0.5797

## 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    | 1.3224          | 0.1029 | 1.3224 |
| No log        | 0.6667 | 4    | 1.1724          | 0.0    | 1.1724 |
| No log        | 1.0    | 6    | 1.0188          | 0.0    | 1.0188 |
| No log        | 1.3333 | 8    | 0.9367          | 0.0    | 0.9367 |
| No log        | 1.6667 | 10   | 0.9707          | 0.0461 | 0.9707 |
| No log        | 2.0    | 12   | 1.0017          | 0.0940 | 1.0017 |
| No log        | 2.3333 | 14   | 1.0101          | 0.3066 | 1.0101 |
| No log        | 2.6667 | 16   | 0.9862          | 0.2453 | 0.9862 |
| No log        | 3.0    | 18   | 0.9340          | 0.3962 | 0.9340 |
| No log        | 3.3333 | 20   | 0.8741          | 0.4096 | 0.8741 |
| No log        | 3.6667 | 22   | 0.8431          | 0.4403 | 0.8431 |
| No log        | 4.0    | 24   | 0.7909          | 0.4898 | 0.7909 |
| No log        | 4.3333 | 26   | 0.7355          | 0.5    | 0.7355 |
| No log        | 4.6667 | 28   | 0.6751          | 0.6084 | 0.6751 |
| No log        | 5.0    | 30   | 0.6350          | 0.5224 | 0.6350 |
| No log        | 5.3333 | 32   | 0.6127          | 0.5224 | 0.6127 |
| No log        | 5.6667 | 34   | 0.6032          | 0.5810 | 0.6032 |
| No log        | 6.0    | 36   | 0.5973          | 0.5810 | 0.5973 |
| No log        | 6.3333 | 38   | 0.5902          | 0.5810 | 0.5902 |
| No log        | 6.6667 | 40   | 0.5956          | 0.7043 | 0.5956 |
| No log        | 7.0    | 42   | 0.5976          | 0.7043 | 0.5976 |
| No log        | 7.3333 | 44   | 0.5970          | 0.6401 | 0.5970 |
| No log        | 7.6667 | 46   | 0.6061          | 0.6114 | 0.6061 |
| No log        | 8.0    | 48   | 0.6064          | 0.6114 | 0.6064 |
| No log        | 8.3333 | 50   | 0.5917          | 0.6401 | 0.5917 |
| No log        | 8.6667 | 52   | 0.5644          | 0.6737 | 0.5644 |
| No log        | 9.0    | 54   | 0.5637          | 0.6737 | 0.5637 |
| No log        | 9.3333 | 56   | 0.5746          | 0.6737 | 0.5746 |
| No log        | 9.6667 | 58   | 0.5782          | 0.6737 | 0.5782 |
| No log        | 10.0   | 60   | 0.5797          | 0.6737 | 0.5797 |


### Framework versions

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