---
base_model: aubmindlab/bert-base-arabertv02
tags:
- generated_from_trainer
model-index:
- name: arabert_baseline_organization_task5_fold1
  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_fold1

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: 0.8569
- Qwk: 0.4778
- Mse: 0.8569

## 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    | 2.4863          | -0.0641 | 2.4863 |
| No log        | 0.6667 | 4    | 1.3863          | 0.0     | 1.3863 |
| No log        | 1.0    | 6    | 1.0547          | 0.1389  | 1.0547 |
| No log        | 1.3333 | 8    | 1.0296          | 0.2049  | 1.0296 |
| No log        | 1.6667 | 10   | 0.9224          | 0.2049  | 0.9224 |
| No log        | 2.0    | 12   | 0.8332          | 0.3787  | 0.8332 |
| No log        | 2.3333 | 14   | 0.8196          | 0.2895  | 0.8196 |
| No log        | 2.6667 | 16   | 0.8152          | 0.2895  | 0.8152 |
| No log        | 3.0    | 18   | 0.8909          | 0.2895  | 0.8909 |
| No log        | 3.3333 | 20   | 0.9518          | 0.2736  | 0.9518 |
| No log        | 3.6667 | 22   | 0.8848          | 0.2895  | 0.8848 |
| No log        | 4.0    | 24   | 0.9478          | 0.4663  | 0.9478 |
| No log        | 4.3333 | 26   | 1.0547          | 0.3316  | 1.0547 |
| No log        | 4.6667 | 28   | 1.0817          | 0.3516  | 1.0817 |
| No log        | 5.0    | 30   | 1.0055          | 0.4643  | 1.0055 |
| No log        | 5.3333 | 32   | 0.8978          | 0.5068  | 0.8978 |
| No log        | 5.6667 | 34   | 0.8372          | 0.5479  | 0.8372 |
| No log        | 6.0    | 36   | 0.8407          | 0.5455  | 0.8407 |
| No log        | 6.3333 | 38   | 0.9061          | 0.4778  | 0.9061 |
| No log        | 6.6667 | 40   | 0.9725          | 0.4643  | 0.9725 |
| No log        | 7.0    | 42   | 0.9463          | 0.4778  | 0.9463 |
| No log        | 7.3333 | 44   | 0.8661          | 0.5455  | 0.8661 |
| No log        | 7.6667 | 46   | 0.8220          | 0.5844  | 0.8220 |
| No log        | 8.0    | 48   | 0.8110          | 0.5844  | 0.8110 |
| No log        | 8.3333 | 50   | 0.8224          | 0.5844  | 0.8224 |
| No log        | 8.6667 | 52   | 0.8540          | 0.4778  | 0.8540 |
| No log        | 9.0    | 54   | 0.8631          | 0.4778  | 0.8631 |
| No log        | 9.3333 | 56   | 0.8567          | 0.4778  | 0.8567 |
| No log        | 9.6667 | 58   | 0.8579          | 0.4778  | 0.8579 |
| No log        | 10.0   | 60   | 0.8569          | 0.4778  | 0.8569 |


### Framework versions

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