---
base_model: aubmindlab/bert-base-arabertv02
tags:
- generated_from_trainer
model-index:
- name: arabert_baseline_mechanics_task6_fold0
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# arabert_baseline_mechanics_task6_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: 1.0047
- Qwk: 0.4859
- Mse: 1.0047

## 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    | 1.3188          | 0.1646 | 1.3188 |
| No log        | 1.0   | 4    | 0.9104          | 0.3453 | 0.9104 |
| No log        | 1.5   | 6    | 0.9681          | 0.3684 | 0.9681 |
| No log        | 2.0   | 8    | 0.9649          | 0.3053 | 0.9649 |
| No log        | 2.5   | 10   | 0.8511          | 0.3684 | 0.8511 |
| No log        | 3.0   | 12   | 0.8161          | 0.3869 | 0.8161 |
| No log        | 3.5   | 14   | 0.8312          | 0.5333 | 0.8312 |
| No log        | 4.0   | 16   | 1.0768          | 0.4129 | 1.0768 |
| No log        | 4.5   | 18   | 1.1227          | 0.4277 | 1.1227 |
| No log        | 5.0   | 20   | 1.0800          | 0.4277 | 1.0800 |
| No log        | 5.5   | 22   | 0.9594          | 0.5648 | 0.9594 |
| No log        | 6.0   | 24   | 0.8494          | 0.4400 | 0.8494 |
| No log        | 6.5   | 26   | 0.8298          | 0.4413 | 0.8298 |
| No log        | 7.0   | 28   | 0.8737          | 0.4400 | 0.8737 |
| No log        | 7.5   | 30   | 0.9941          | 0.6244 | 0.9941 |
| No log        | 8.0   | 32   | 1.0585          | 0.5088 | 1.0585 |
| No log        | 8.5   | 34   | 1.0554          | 0.5088 | 1.0554 |
| No log        | 9.0   | 36   | 1.0367          | 0.4385 | 1.0367 |
| No log        | 9.5   | 38   | 1.0146          | 0.5556 | 1.0146 |
| No log        | 10.0  | 40   | 1.0047          | 0.4859 | 1.0047 |


### Framework versions

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