---
base_model: aubmindlab/bert-base-arabertv02
tags:
- generated_from_trainer
model-index:
- name: arabert_baseline_mechanics_task8_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_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: 0.5999
- Qwk: 0.7490
- Mse: 0.5999

## 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    | 1.4400          | 0.2581 | 1.4400 |
| No log        | 1.0   | 4    | 1.3435          | 0.3959 | 1.3435 |
| No log        | 1.5   | 6    | 0.7948          | 0.6199 | 0.7948 |
| No log        | 2.0   | 8    | 0.8359          | 0.5911 | 0.8359 |
| No log        | 2.5   | 10   | 0.5994          | 0.5641 | 0.5994 |
| No log        | 3.0   | 12   | 0.5724          | 0.7742 | 0.5724 |
| No log        | 3.5   | 14   | 0.5128          | 0.7153 | 0.5128 |
| No log        | 4.0   | 16   | 0.5177          | 0.7153 | 0.5177 |
| No log        | 4.5   | 18   | 0.5100          | 0.7153 | 0.5100 |
| No log        | 5.0   | 20   | 0.5127          | 0.6784 | 0.5127 |
| No log        | 5.5   | 22   | 0.5088          | 0.6854 | 0.5088 |
| No log        | 6.0   | 24   | 0.5211          | 0.7490 | 0.5211 |
| No log        | 6.5   | 26   | 0.5074          | 0.6784 | 0.5074 |
| No log        | 7.0   | 28   | 0.5120          | 0.6784 | 0.5120 |
| No log        | 7.5   | 30   | 0.5312          | 0.7871 | 0.5312 |
| No log        | 8.0   | 32   | 0.5850          | 0.7871 | 0.5850 |
| No log        | 8.5   | 34   | 0.6173          | 0.7586 | 0.6173 |
| No log        | 9.0   | 36   | 0.6118          | 0.7586 | 0.6118 |
| No log        | 9.5   | 38   | 0.6068          | 0.7449 | 0.6068 |
| No log        | 10.0  | 40   | 0.5999          | 0.7490 | 0.5999 |


### Framework versions

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