---
base_model: aubmindlab/bert-base-arabertv02
tags:
- generated_from_trainer
model-index:
- name: arabert_baseline_mechanics_task2_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_task2_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: 0.9842
- Qwk: 0.1750
- Mse: 0.9841

## 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    | 4.1574          | 0.0205  | 4.1715 |
| No log        | 0.6667 | 4    | 2.0929          | 0.0123  | 2.1054 |
| No log        | 1.0    | 6    | 1.3194          | -0.1337 | 1.3202 |
| No log        | 1.3333 | 8    | 0.9360          | 0.2588  | 0.9322 |
| No log        | 1.6667 | 10   | 0.9386          | 0.0907  | 0.9344 |
| No log        | 2.0    | 12   | 1.1338          | -0.0221 | 1.1277 |
| No log        | 2.3333 | 14   | 1.0683          | 0.0907  | 1.0627 |
| No log        | 2.6667 | 16   | 0.8193          | 0.2808  | 0.8154 |
| No log        | 3.0    | 18   | 0.7951          | 0.2441  | 0.7912 |
| No log        | 3.3333 | 20   | 0.8524          | 0.2853  | 0.8486 |
| No log        | 3.6667 | 22   | 1.0382          | -0.1210 | 1.0361 |
| No log        | 4.0    | 24   | 1.2097          | -0.1351 | 1.2090 |
| No log        | 4.3333 | 26   | 1.3025          | -0.0355 | 1.3038 |
| No log        | 4.6667 | 28   | 1.1375          | 0.2732  | 1.1373 |
| No log        | 5.0    | 30   | 0.8628          | 0.2455  | 0.8539 |
| No log        | 5.3333 | 32   | 0.8145          | 0.1649  | 0.8046 |
| No log        | 5.6667 | 34   | 0.8765          | 0.2222  | 0.8718 |
| No log        | 6.0    | 36   | 0.9949          | 0.1892  | 0.9951 |
| No log        | 6.3333 | 38   | 1.0164          | 0.1892  | 1.0171 |
| No log        | 6.6667 | 40   | 0.9913          | 0.1892  | 0.9919 |
| No log        | 7.0    | 42   | 0.9485          | 0.1892  | 0.9484 |
| No log        | 7.3333 | 44   | 0.9129          | 0.0667  | 0.9120 |
| No log        | 7.6667 | 46   | 0.8943          | 0.0667  | 0.8925 |
| No log        | 8.0    | 48   | 0.9394          | 0.0667  | 0.9387 |
| No log        | 8.3333 | 50   | 0.9883          | 0.1892  | 0.9886 |
| No log        | 8.6667 | 52   | 0.9904          | 0.1892  | 0.9907 |
| No log        | 9.0    | 54   | 0.9905          | 0.1892  | 0.9908 |
| No log        | 9.3333 | 56   | 0.9842          | 0.1892  | 0.9843 |
| No log        | 9.6667 | 58   | 0.9876          | 0.1664  | 0.9876 |
| No log        | 10.0   | 60   | 0.9842          | 0.1750  | 0.9841 |


### Framework versions

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