---
base_model: aubmindlab/bert-base-arabertv02
tags:
- generated_from_trainer
model-index:
- name: arabert_cross_relevance_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_cross_relevance_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: 0.1791
- Qwk: 0.0281
- Mse: 0.1791

## 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: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Qwk     | Mse    |
|:-------------:|:------:|:----:|:---------------:|:-------:|:------:|
| No log        | 0.0690 | 2    | 1.5191          | -0.0019 | 1.5191 |
| No log        | 0.1379 | 4    | 0.3899          | 0.0231  | 0.3899 |
| No log        | 0.2069 | 6    | 0.1889          | 0.0929  | 0.1889 |
| No log        | 0.2759 | 8    | 0.2118          | 0.0239  | 0.2118 |
| No log        | 0.3448 | 10   | 0.1816          | 0.0394  | 0.1816 |
| No log        | 0.4138 | 12   | 0.1490          | 0.0571  | 0.1490 |
| No log        | 0.4828 | 14   | 0.1823          | 0.0368  | 0.1823 |
| No log        | 0.5517 | 16   | 0.2402          | 0.0300  | 0.2402 |
| No log        | 0.6207 | 18   | 0.2832          | 0.0245  | 0.2832 |
| No log        | 0.6897 | 20   | 0.2599          | 0.0245  | 0.2599 |
| No log        | 0.7586 | 22   | 0.2442          | 0.0281  | 0.2442 |
| No log        | 0.8276 | 24   | 0.2126          | 0.0335  | 0.2126 |
| No log        | 0.8966 | 26   | 0.1901          | 0.0368  | 0.1901 |
| No log        | 0.9655 | 28   | 0.1791          | 0.0281  | 0.1791 |


### Framework versions

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