---
base_model: aubmindlab/bert-base-arabertv02
tags:
- generated_from_trainer
model-index:
- name: arabert_baseline_development_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_development_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: 0.5447
- Qwk: 0.4714
- Mse: 0.5518

## 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    | 3.5280          | -0.0028 | 3.6293 |
| No log        | 0.6667 | 4    | 1.1366          | 0.0251  | 1.1880 |
| No log        | 1.0    | 6    | 0.4107          | 0.0     | 0.4259 |
| No log        | 1.3333 | 8    | 0.4662          | 0.1765  | 0.4494 |
| No log        | 1.6667 | 10   | 0.3079          | 0.2075  | 0.3114 |
| No log        | 2.0    | 12   | 0.2932          | 0.4101  | 0.2962 |
| No log        | 2.3333 | 14   | 0.3202          | 0.1525  | 0.3155 |
| No log        | 2.6667 | 16   | 0.4604          | 0.2410  | 0.4445 |
| No log        | 3.0    | 18   | 0.3972          | 0.1765  | 0.3866 |
| No log        | 3.3333 | 20   | 0.2887          | 0.1356  | 0.2966 |
| No log        | 3.6667 | 22   | 0.3203          | 0.1907  | 0.3343 |
| No log        | 4.0    | 24   | 0.3286          | 0.3453  | 0.3381 |
| No log        | 4.3333 | 26   | 0.4544          | 0.1674  | 0.4506 |
| No log        | 4.6667 | 28   | 0.5203          | 0.1674  | 0.5108 |
| No log        | 5.0    | 30   | 0.4560          | 0.4453  | 0.4535 |
| No log        | 5.3333 | 32   | 0.4023          | 0.4457  | 0.4083 |
| No log        | 5.6667 | 34   | 0.3835          | 0.3453  | 0.3956 |
| No log        | 6.0    | 36   | 0.4165          | 0.4231  | 0.4249 |
| No log        | 6.3333 | 38   | 0.5295          | 0.4152  | 0.5286 |
| No log        | 6.6667 | 40   | 0.6129          | 0.2759  | 0.6063 |
| No log        | 7.0    | 42   | 0.6169          | 0.2759  | 0.6109 |
| No log        | 7.3333 | 44   | 0.5387          | 0.3971  | 0.5393 |
| No log        | 7.6667 | 46   | 0.4830          | 0.3913  | 0.4895 |
| No log        | 8.0    | 48   | 0.4890          | 0.3695  | 0.4962 |
| No log        | 8.3333 | 50   | 0.5286          | 0.4714  | 0.5334 |
| No log        | 8.6667 | 52   | 0.5656          | 0.3971  | 0.5690 |
| No log        | 9.0    | 54   | 0.5673          | 0.4714  | 0.5716 |
| No log        | 9.3333 | 56   | 0.5533          | 0.4714  | 0.5593 |
| No log        | 9.6667 | 58   | 0.5477          | 0.4714  | 0.5545 |
| No log        | 10.0   | 60   | 0.5447          | 0.4714  | 0.5518 |


### Framework versions

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