---
base_model: aubmindlab/bert-base-arabertv02
tags:
- generated_from_trainer
model-index:
- name: arabert_baseline_development_task1_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_task1_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: 0.5902
- Qwk: 0.5813
- Mse: 0.5907

## 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    | 4.3908          | -0.0120 | 4.3758 |
| No log        | 0.6667 | 4    | 1.6600          | 0.1250  | 1.6454 |
| No log        | 1.0    | 6    | 0.7866          | 0.1857  | 0.7857 |
| No log        | 1.3333 | 8    | 0.8027          | 0.3213  | 0.8042 |
| No log        | 1.6667 | 10   | 0.7663          | 0.4436  | 0.7681 |
| No log        | 2.0    | 12   | 0.6285          | 0.5382  | 0.6319 |
| No log        | 2.3333 | 14   | 0.5709          | 0.5522  | 0.5784 |
| No log        | 2.6667 | 16   | 0.6087          | 0.5551  | 0.6118 |
| No log        | 3.0    | 18   | 0.6828          | 0.5551  | 0.6824 |
| No log        | 3.3333 | 20   | 0.7735          | 0.5415  | 0.7740 |
| No log        | 3.6667 | 22   | 0.6982          | 0.5682  | 0.6989 |
| No log        | 4.0    | 24   | 0.7101          | 0.5682  | 0.7116 |
| No log        | 4.3333 | 26   | 0.6932          | 0.5682  | 0.6950 |
| No log        | 4.6667 | 28   | 0.6914          | 0.5682  | 0.6938 |
| No log        | 5.0    | 30   | 0.6162          | 0.5477  | 0.6186 |
| No log        | 5.3333 | 32   | 0.5655          | 0.5477  | 0.5678 |
| No log        | 5.6667 | 34   | 0.5450          | 0.5445  | 0.5471 |
| No log        | 6.0    | 36   | 0.5674          | 0.5477  | 0.5701 |
| No log        | 6.3333 | 38   | 0.6194          | 0.5314  | 0.6234 |
| No log        | 6.6667 | 40   | 0.5904          | 0.5477  | 0.5926 |
| No log        | 7.0    | 42   | 0.5761          | 0.5445  | 0.5768 |
| No log        | 7.3333 | 44   | 0.5947          | 0.5813  | 0.5951 |
| No log        | 7.6667 | 46   | 0.6094          | 0.5825  | 0.6096 |
| No log        | 8.0    | 48   | 0.6288          | 0.5995  | 0.6294 |
| No log        | 8.3333 | 50   | 0.6317          | 0.5269  | 0.6325 |
| No log        | 8.6667 | 52   | 0.6245          | 0.5995  | 0.6251 |
| No log        | 9.0    | 54   | 0.6067          | 0.5825  | 0.6071 |
| No log        | 9.3333 | 56   | 0.5975          | 0.5813  | 0.5979 |
| No log        | 9.6667 | 58   | 0.5916          | 0.5813  | 0.5921 |
| No log        | 10.0   | 60   | 0.5902          | 0.5813  | 0.5907 |


### Framework versions

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