---
base_model: aubmindlab/bert-base-arabertv02
tags:
- generated_from_trainer
model-index:
- name: arabert_baseline_development_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_development_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: 1.0419
- Qwk: 0.5183
- Mse: 1.0419

## 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    | 1.6380          | 0.0929 | 1.6380 |
| No log        | 0.6667 | 4    | 1.5106          | 0.0    | 1.5106 |
| No log        | 1.0    | 6    | 1.3471          | 0.0    | 1.3471 |
| No log        | 1.3333 | 8    | 1.2335          | 0.0    | 1.2335 |
| No log        | 1.6667 | 10   | 1.2261          | 0.1576 | 1.2261 |
| No log        | 2.0    | 12   | 1.2476          | 0.2560 | 1.2476 |
| No log        | 2.3333 | 14   | 1.2739          | 0.2628 | 1.2739 |
| No log        | 2.6667 | 16   | 1.2494          | 0.2628 | 1.2494 |
| No log        | 3.0    | 18   | 1.1857          | 0.4062 | 1.1857 |
| No log        | 3.3333 | 20   | 1.1005          | 0.3598 | 1.1005 |
| No log        | 3.6667 | 22   | 1.1228          | 0.3976 | 1.1228 |
| No log        | 4.0    | 24   | 1.0985          | 0.3976 | 1.0985 |
| No log        | 4.3333 | 26   | 1.0341          | 0.375  | 1.0341 |
| No log        | 4.6667 | 28   | 0.9989          | 0.5789 | 0.9989 |
| No log        | 5.0    | 30   | 0.9963          | 0.5789 | 0.9963 |
| No log        | 5.3333 | 32   | 0.9852          | 0.5361 | 0.9852 |
| No log        | 5.6667 | 34   | 0.9961          | 0.5991 | 0.9961 |
| No log        | 6.0    | 36   | 1.0348          | 0.4725 | 1.0348 |
| No log        | 6.3333 | 38   | 1.0147          | 0.5238 | 1.0147 |
| No log        | 6.6667 | 40   | 1.0123          | 0.5238 | 1.0123 |
| No log        | 7.0    | 42   | 0.9900          | 0.5833 | 0.9900 |
| No log        | 7.3333 | 44   | 0.9764          | 0.4872 | 0.9764 |
| No log        | 7.6667 | 46   | 0.9850          | 0.4872 | 0.9850 |
| No log        | 8.0    | 48   | 0.9775          | 0.5327 | 0.9775 |
| No log        | 8.3333 | 50   | 0.9860          | 0.5047 | 0.9860 |
| No log        | 8.6667 | 52   | 0.9983          | 0.5183 | 0.9983 |
| No log        | 9.0    | 54   | 1.0128          | 0.5183 | 1.0128 |
| No log        | 9.3333 | 56   | 1.0321          | 0.5183 | 1.0321 |
| No log        | 9.6667 | 58   | 1.0407          | 0.5183 | 1.0407 |
| No log        | 10.0   | 60   | 1.0419          | 0.5183 | 1.0419 |


### Framework versions

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