---
base_model: aubmindlab/bert-base-arabertv02
tags:
- generated_from_trainer
model-index:
- name: arabert_baseline_mechanics_task1_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_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: 0.6765
- Qwk: 0.4590
- Mse: 0.6922

## 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    | 4.5225          | -0.0658 | 4.5651 |
| No log        | 0.6667 | 4    | 1.8523          | 0.1370  | 1.8774 |
| No log        | 1.0    | 6    | 0.9383          | 0.2326  | 0.9611 |
| No log        | 1.3333 | 8    | 0.8679          | 0.3119  | 0.8947 |
| No log        | 1.6667 | 10   | 0.8994          | 0.4015  | 0.9273 |
| No log        | 2.0    | 12   | 1.2109          | 0.0582  | 1.2468 |
| No log        | 2.3333 | 14   | 1.0652          | 0.0783  | 1.0979 |
| No log        | 2.6667 | 16   | 0.8918          | 0.4726  | 0.9192 |
| No log        | 3.0    | 18   | 0.9069          | 0.3931  | 0.9346 |
| No log        | 3.3333 | 20   | 0.8533          | 0.3636  | 0.8812 |
| No log        | 3.6667 | 22   | 0.7332          | 0.4582  | 0.7567 |
| No log        | 4.0    | 24   | 0.7505          | 0.5333  | 0.7733 |
| No log        | 4.3333 | 26   | 0.7390          | 0.475   | 0.7612 |
| No log        | 4.6667 | 28   | 0.7760          | 0.3824  | 0.8000 |
| No log        | 5.0    | 30   | 0.8078          | 0.3913  | 0.8335 |
| No log        | 5.3333 | 32   | 0.7440          | 0.4450  | 0.7671 |
| No log        | 5.6667 | 34   | 0.7175          | 0.4906  | 0.7395 |
| No log        | 6.0    | 36   | 0.7050          | 0.5254  | 0.7261 |
| No log        | 6.3333 | 38   | 0.7088          | 0.4450  | 0.7299 |
| No log        | 6.6667 | 40   | 0.6952          | 0.4727  | 0.7141 |
| No log        | 7.0    | 42   | 0.6847          | 0.4770  | 0.7014 |
| No log        | 7.3333 | 44   | 0.6839          | 0.5054  | 0.7003 |
| No log        | 7.6667 | 46   | 0.6830          | 0.4822  | 0.6983 |
| No log        | 8.0    | 48   | 0.6803          | 0.4822  | 0.6954 |
| No log        | 8.3333 | 50   | 0.6819          | 0.4279  | 0.6979 |
| No log        | 8.6667 | 52   | 0.6851          | 0.4360  | 0.7017 |
| No log        | 9.0    | 54   | 0.6844          | 0.4360  | 0.7010 |
| No log        | 9.3333 | 56   | 0.6804          | 0.4360  | 0.6965 |
| No log        | 9.6667 | 58   | 0.6769          | 0.4590  | 0.6926 |
| No log        | 10.0   | 60   | 0.6765          | 0.4590  | 0.6922 |


### Framework versions

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