---
base_model: aubmindlab/bert-base-arabertv02
tags:
- generated_from_trainer
model-index:
- name: arabert_baseline_grammar_task2_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_grammar_task2_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: 0.5805
- Qwk: 0.4573
- Mse: 0.5856

## 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    | 4.5766          | -0.0114 | 4.6757 |
| No log        | 0.6667 | 4    | 1.8451          | 0.0840  | 1.9011 |
| No log        | 1.0    | 6    | 1.0385          | 0.0     | 1.0614 |
| No log        | 1.3333 | 8    | 0.8509          | 0.0     | 0.8474 |
| No log        | 1.6667 | 10   | 0.8477          | 0.0     | 0.8402 |
| No log        | 2.0    | 12   | 0.7153          | 0.2184  | 0.7165 |
| No log        | 2.3333 | 14   | 0.6748          | 0.2687  | 0.6856 |
| No log        | 2.6667 | 16   | 0.7113          | 0.1912  | 0.7272 |
| No log        | 3.0    | 18   | 0.7379          | 0.1902  | 0.7546 |
| No log        | 3.3333 | 20   | 0.6880          | 0.1923  | 0.7014 |
| No log        | 3.6667 | 22   | 0.6478          | 0.3544  | 0.6544 |
| No log        | 4.0    | 24   | 0.6652          | 0.3849  | 0.6682 |
| No log        | 4.3333 | 26   | 0.6717          | 0.4573  | 0.6748 |
| No log        | 4.6667 | 28   | 0.6419          | 0.4304  | 0.6475 |
| No log        | 5.0    | 30   | 0.6314          | 0.4573  | 0.6355 |
| No log        | 5.3333 | 32   | 0.6776          | 0.3849  | 0.6787 |
| No log        | 5.6667 | 34   | 0.6654          | 0.3849  | 0.6671 |
| No log        | 6.0    | 36   | 0.6226          | 0.4573  | 0.6260 |
| No log        | 6.3333 | 38   | 0.5977          | 0.3544  | 0.6024 |
| No log        | 6.6667 | 40   | 0.5953          | 0.1306  | 0.6010 |
| No log        | 7.0    | 42   | 0.5909          | 0.1306  | 0.5966 |
| No log        | 7.3333 | 44   | 0.5860          | 0.1306  | 0.5916 |
| No log        | 7.6667 | 46   | 0.5891          | 0.3544  | 0.5944 |
| No log        | 8.0    | 48   | 0.6067          | 0.4573  | 0.6111 |
| No log        | 8.3333 | 50   | 0.6190          | 0.4573  | 0.6228 |
| No log        | 8.6667 | 52   | 0.6206          | 0.4573  | 0.6243 |
| No log        | 9.0    | 54   | 0.6083          | 0.4573  | 0.6124 |
| No log        | 9.3333 | 56   | 0.5947          | 0.4573  | 0.5993 |
| No log        | 9.6667 | 58   | 0.5850          | 0.4573  | 0.5899 |
| No log        | 10.0   | 60   | 0.5805          | 0.4573  | 0.5856 |


### Framework versions

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