---
base_model: aubmindlab/bert-base-arabertv02
tags:
- generated_from_trainer
model-index:
- name: arabert_baseline_mechanics_task7_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_task7_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: 0.3972
- Qwk: 0.6491
- Mse: 0.3972

## 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    | 1.3247          | 0.0816 | 1.3247 |
| No log        | 0.6667 | 4    | 0.6683          | 0.4335 | 0.6683 |
| No log        | 1.0    | 6    | 0.5559          | 0.4980 | 0.5559 |
| No log        | 1.3333 | 8    | 0.6243          | 0.4454 | 0.6243 |
| No log        | 1.6667 | 10   | 0.4715          | 0.6195 | 0.4715 |
| No log        | 2.0    | 12   | 0.5116          | 0.6491 | 0.5116 |
| No log        | 2.3333 | 14   | 0.6116          | 0.5702 | 0.6116 |
| No log        | 2.6667 | 16   | 0.6154          | 0.5631 | 0.6154 |
| No log        | 3.0    | 18   | 0.6351          | 0.4762 | 0.6351 |
| No log        | 3.3333 | 20   | 0.4519          | 0.5248 | 0.4519 |
| No log        | 3.6667 | 22   | 0.2987          | 0.6600 | 0.2987 |
| No log        | 4.0    | 24   | 0.2664          | 0.6715 | 0.2664 |
| No log        | 4.3333 | 26   | 0.3049          | 0.6491 | 0.3049 |
| No log        | 4.6667 | 28   | 0.5042          | 0.5601 | 0.5042 |
| No log        | 5.0    | 30   | 0.7298          | 0.4401 | 0.7298 |
| No log        | 5.3333 | 32   | 0.7112          | 0.4401 | 0.7112 |
| No log        | 5.6667 | 34   | 0.4277          | 0.6780 | 0.4277 |
| No log        | 6.0    | 36   | 0.2880          | 0.7239 | 0.2880 |
| No log        | 6.3333 | 38   | 0.2886          | 0.7239 | 0.2886 |
| No log        | 6.6667 | 40   | 0.3219          | 0.7239 | 0.3219 |
| No log        | 7.0    | 42   | 0.4290          | 0.6329 | 0.4290 |
| No log        | 7.3333 | 44   | 0.5828          | 0.5497 | 0.5828 |
| No log        | 7.6667 | 46   | 0.6367          | 0.5129 | 0.6367 |
| No log        | 8.0    | 48   | 0.5900          | 0.5497 | 0.5900 |
| No log        | 8.3333 | 50   | 0.4796          | 0.5955 | 0.4796 |
| No log        | 8.6667 | 52   | 0.4272          | 0.6491 | 0.4272 |
| No log        | 9.0    | 54   | 0.4126          | 0.6491 | 0.4126 |
| No log        | 9.3333 | 56   | 0.4004          | 0.6491 | 0.4004 |
| No log        | 9.6667 | 58   | 0.3997          | 0.6491 | 0.3997 |
| No log        | 10.0   | 60   | 0.3972          | 0.6491 | 0.3972 |


### Framework versions

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