---
base_model: aubmindlab/bert-base-arabertv02
tags:
- generated_from_trainer
model-index:
- name: arabert_cross_vocabulary_task6_fold2
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# arabert_cross_vocabulary_task6_fold2

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: 0.7242
- Qwk: 0.0
- Mse: 0.7136

## 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: 1

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Qwk     | Mse    |
|:-------------:|:------:|:----:|:---------------:|:-------:|:------:|
| No log        | 0.0299 | 2    | 3.2898          | -0.0072 | 3.3109 |
| No log        | 0.0597 | 4    | 1.5499          | 0.0064  | 1.5580 |
| No log        | 0.0896 | 6    | 0.8567          | -0.0149 | 0.8591 |
| No log        | 0.1194 | 8    | 0.5737          | -0.0086 | 0.5725 |
| No log        | 0.1493 | 10   | 0.5552          | -0.0146 | 0.5507 |
| No log        | 0.1791 | 12   | 0.5914          | -0.0252 | 0.5849 |
| No log        | 0.2090 | 14   | 0.5900          | 0.0     | 0.5831 |
| No log        | 0.2388 | 16   | 0.5625          | 0.0144  | 0.5568 |
| No log        | 0.2687 | 18   | 0.5553          | 0.0188  | 0.5497 |
| No log        | 0.2985 | 20   | 0.5729          | -0.0264 | 0.5693 |
| No log        | 0.3284 | 22   | 0.5862          | -0.0635 | 0.5833 |
| No log        | 0.3582 | 24   | 0.5679          | 0.0441  | 0.5643 |
| No log        | 0.3881 | 26   | 0.5625          | 0.0732  | 0.5588 |
| No log        | 0.4179 | 28   | 0.5473          | 0.0472  | 0.5424 |
| No log        | 0.4478 | 30   | 0.5608          | 0.0     | 0.5545 |
| No log        | 0.4776 | 32   | 0.6062          | 0.0     | 0.5987 |
| No log        | 0.5075 | 34   | 0.6492          | 0.0     | 0.6414 |
| No log        | 0.5373 | 36   | 0.6805          | 0.0     | 0.6725 |
| No log        | 0.5672 | 38   | 0.7145          | 0.0     | 0.7051 |
| No log        | 0.5970 | 40   | 0.7050          | 0.0     | 0.6949 |
| No log        | 0.6269 | 42   | 0.6899          | 0.0     | 0.6796 |
| No log        | 0.6567 | 44   | 0.7091          | 0.0     | 0.6986 |
| No log        | 0.6866 | 46   | 0.7298          | 0.0     | 0.7190 |
| No log        | 0.7164 | 48   | 0.7558          | 0.0     | 0.7450 |
| No log        | 0.7463 | 50   | 0.7596          | 0.0     | 0.7490 |
| No log        | 0.7761 | 52   | 0.7517          | 0.0     | 0.7414 |
| No log        | 0.8060 | 54   | 0.7385          | 0.0     | 0.7283 |
| No log        | 0.8358 | 56   | 0.7315          | 0.0     | 0.7211 |
| No log        | 0.8657 | 58   | 0.7354          | 0.0     | 0.7250 |
| No log        | 0.8955 | 60   | 0.7334          | 0.0     | 0.7229 |
| No log        | 0.9254 | 62   | 0.7299          | 0.0     | 0.7193 |
| No log        | 0.9552 | 64   | 0.7249          | 0.0     | 0.7143 |
| No log        | 0.9851 | 66   | 0.7242          | 0.0     | 0.7136 |


### Framework versions

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