---
base_model: aubmindlab/bert-base-arabertv02
tags:
- generated_from_trainer
model-index:
- name: arabert_baseline_relevance_task1_fold0
  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_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: 0.2514
- Qwk: 0.0808
- Mse: 0.2559

## 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: 5

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Qwk     | Mse    |
|:-------------:|:------:|:----:|:---------------:|:-------:|:------:|
| No log        | 0.3333 | 2    | 1.1076          | -0.0049 | 1.0949 |
| No log        | 0.6667 | 4    | 0.2779          | 0.0     | 0.2800 |
| No log        | 1.0    | 6    | 0.2271          | 0.3467  | 0.2294 |
| No log        | 1.3333 | 8    | 0.2361          | 0.1667  | 0.2359 |
| No log        | 1.6667 | 10   | 0.1985          | 0.1250  | 0.2028 |
| No log        | 2.0    | 12   | 0.2232          | 0.0     | 0.2304 |
| No log        | 2.3333 | 14   | 0.2167          | 0.0     | 0.2237 |
| No log        | 2.6667 | 16   | 0.2206          | 0.0     | 0.2259 |
| No log        | 3.0    | 18   | 0.2075          | 0.0     | 0.2127 |
| No log        | 3.3333 | 20   | 0.2078          | 0.0     | 0.2132 |
| No log        | 3.6667 | 22   | 0.2183          | 0.0     | 0.2235 |
| No log        | 4.0    | 24   | 0.2326          | 0.0     | 0.2375 |
| No log        | 4.3333 | 26   | 0.2498          | 0.0392  | 0.2543 |
| No log        | 4.6667 | 28   | 0.2547          | 0.0392  | 0.2590 |
| No log        | 5.0    | 30   | 0.2514          | 0.0808  | 0.2559 |


### Framework versions

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