---
base_model: aubmindlab/bert-base-arabertv02
tags:
- generated_from_trainer
model-index:
- name: arabert_baseline_vocabulary_task8_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_vocabulary_task8_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: 0.2316
- Qwk: 0.8078
- Mse: 0.2316

## 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        | 0.5   | 2    | 1.2852          | 0.2500 | 1.2852 |
| No log        | 1.0   | 4    | 0.9284          | 0.5172 | 0.9284 |
| No log        | 1.5   | 6    | 0.5474          | 0.6196 | 0.5474 |
| No log        | 2.0   | 8    | 0.4192          | 0.6172 | 0.4192 |
| No log        | 2.5   | 10   | 0.3456          | 0.7627 | 0.3456 |
| No log        | 3.0   | 12   | 0.3051          | 0.832  | 0.3051 |
| No log        | 3.5   | 14   | 0.2935          | 0.7850 | 0.2935 |
| No log        | 4.0   | 16   | 0.2662          | 0.8078 | 0.2662 |
| No log        | 4.5   | 18   | 0.2641          | 0.832  | 0.2641 |
| No log        | 5.0   | 20   | 0.2554          | 0.7956 | 0.2554 |
| No log        | 5.5   | 22   | 0.2536          | 0.7956 | 0.2536 |
| No log        | 6.0   | 24   | 0.2384          | 0.7956 | 0.2384 |
| No log        | 6.5   | 26   | 0.2490          | 0.7956 | 0.2490 |
| No log        | 7.0   | 28   | 0.2542          | 0.7956 | 0.2542 |
| No log        | 7.5   | 30   | 0.2514          | 0.8269 | 0.2514 |
| No log        | 8.0   | 32   | 0.2475          | 0.8409 | 0.2475 |
| No log        | 8.5   | 34   | 0.2401          | 0.8078 | 0.2401 |
| No log        | 9.0   | 36   | 0.2365          | 0.8078 | 0.2365 |
| No log        | 9.5   | 38   | 0.2330          | 0.8078 | 0.2330 |
| No log        | 10.0  | 40   | 0.2316          | 0.8078 | 0.2316 |


### Framework versions

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