---
base_model: aubmindlab/bert-base-arabertv02
tags:
- generated_from_trainer
model-index:
- name: arabert_baseline_mechanics_task7_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_mechanics_task7_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: 0.3250
- Qwk: 0.7258
- Mse: 0.3234

## 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    | 0.9603          | 0.2687 | 0.9651 |
| No log        | 0.6667 | 4    | 0.6926          | 0.5364 | 0.7202 |
| No log        | 1.0    | 6    | 0.7727          | 0.6067 | 0.8086 |
| No log        | 1.3333 | 8    | 0.7221          | 0.3538 | 0.7310 |
| No log        | 1.6667 | 10   | 0.6375          | 0.4368 | 0.6487 |
| No log        | 2.0    | 12   | 0.5211          | 0.6263 | 0.5378 |
| No log        | 2.3333 | 14   | 0.4993          | 0.5911 | 0.5125 |
| No log        | 2.6667 | 16   | 0.5624          | 0.6433 | 0.5686 |
| No log        | 3.0    | 18   | 0.5828          | 0.6023 | 0.5851 |
| No log        | 3.3333 | 20   | 0.4962          | 0.6576 | 0.4985 |
| No log        | 3.6667 | 22   | 0.4100          | 0.6702 | 0.4135 |
| No log        | 4.0    | 24   | 0.4169          | 0.6702 | 0.4169 |
| No log        | 4.3333 | 26   | 0.4947          | 0.6509 | 0.4883 |
| No log        | 4.6667 | 28   | 0.6006          | 0.5556 | 0.5893 |
| No log        | 5.0    | 30   | 0.5615          | 0.6121 | 0.5504 |
| No log        | 5.3333 | 32   | 0.4063          | 0.6702 | 0.4018 |
| No log        | 5.6667 | 34   | 0.3483          | 0.7083 | 0.3470 |
| No log        | 6.0    | 36   | 0.3490          | 0.7258 | 0.3465 |
| No log        | 6.3333 | 38   | 0.3721          | 0.7258 | 0.3681 |
| No log        | 6.6667 | 40   | 0.3827          | 0.7337 | 0.3782 |
| No log        | 7.0    | 42   | 0.4201          | 0.6757 | 0.4135 |
| No log        | 7.3333 | 44   | 0.4186          | 0.6757 | 0.4120 |
| No log        | 7.6667 | 46   | 0.3821          | 0.7337 | 0.3775 |
| No log        | 8.0    | 48   | 0.3398          | 0.7258 | 0.3377 |
| No log        | 8.3333 | 50   | 0.3148          | 0.7258 | 0.3139 |
| No log        | 8.6667 | 52   | 0.3098          | 0.7258 | 0.3091 |
| No log        | 9.0    | 54   | 0.3110          | 0.7258 | 0.3101 |
| No log        | 9.3333 | 56   | 0.3160          | 0.7258 | 0.3149 |
| No log        | 9.6667 | 58   | 0.3224          | 0.7258 | 0.3209 |
| No log        | 10.0   | 60   | 0.3250          | 0.7258 | 0.3234 |


### Framework versions

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