---
base_model: aubmindlab/bert-base-arabertv02
tags:
- generated_from_trainer
model-index:
- name: arabert_baseline_mechanics_task3_fold1
  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_task3_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: 0.2956
- Qwk: -0.1647
- Mse: 0.2733

## 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    | 2.9227          | 0.0560  | 2.9630 |
| No log        | 1.3333 | 4    | 0.8415          | 0.0733  | 0.8632 |
| No log        | 2.0    | 6    | 0.1950          | 0.0     | 0.1826 |
| No log        | 2.6667 | 8    | 0.3611          | -0.3200 | 0.3329 |
| No log        | 3.3333 | 10   | 0.4100          | -0.1818 | 0.3921 |
| No log        | 4.0    | 12   | 0.4163          | -0.0312 | 0.4025 |
| No log        | 4.6667 | 14   | 0.2671          | -0.1647 | 0.2475 |
| No log        | 5.3333 | 16   | 0.2529          | -0.2222 | 0.2308 |
| No log        | 6.0    | 18   | 0.2479          | -0.2791 | 0.2261 |
| No log        | 6.6667 | 20   | 0.2690          | 0.1200  | 0.2457 |
| No log        | 7.3333 | 22   | 0.2675          | -0.1647 | 0.2467 |
| No log        | 8.0    | 24   | 0.3012          | -0.1647 | 0.2826 |
| No log        | 8.6667 | 26   | 0.3080          | -0.1647 | 0.2883 |
| No log        | 9.3333 | 28   | 0.2986          | -0.1647 | 0.2773 |
| No log        | 10.0   | 30   | 0.2956          | -0.1647 | 0.2733 |


### Framework versions

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