---
base_model: aubmindlab/bert-base-arabertv02
tags:
- generated_from_trainer
model-index:
- name: arabert_baseline_organization_task3_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_task3_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: 0.9015
- Qwk: -0.0421
- Mse: 0.8705

## 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        | 0.6667 | 2    | 4.9483          | -0.0614 | 4.8034 |
| No log        | 1.3333 | 4    | 2.2914          | -0.2094 | 2.1960 |
| No log        | 2.0    | 6    | 1.8214          | -0.0434 | 1.7728 |
| No log        | 2.6667 | 8    | 1.1417          | -0.2754 | 1.1089 |
| No log        | 3.3333 | 10   | 1.0866          | -0.1786 | 1.0561 |
| No log        | 4.0    | 12   | 0.9760          | 0.0320  | 0.9412 |
| No log        | 4.6667 | 14   | 0.9213          | -0.1786 | 0.8945 |
| No log        | 5.3333 | 16   | 0.9094          | -0.1579 | 0.8796 |
| No log        | 6.0    | 18   | 0.9277          | -0.1048 | 0.8935 |
| No log        | 6.6667 | 20   | 0.9357          | -0.1048 | 0.9005 |
| No log        | 7.3333 | 22   | 0.9464          | -0.1048 | 0.9094 |
| No log        | 8.0    | 24   | 0.9330          | -0.1048 | 0.8977 |
| No log        | 8.6667 | 26   | 0.9159          | -0.1048 | 0.8827 |
| No log        | 9.3333 | 28   | 0.9041          | -0.0421 | 0.8723 |
| No log        | 10.0   | 30   | 0.9015          | -0.0421 | 0.8705 |


### Framework versions

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