---
library_name: transformers
base_model: aubmindlab/bert-base-arabert
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: punctuator
  results: []
---

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

This model is a fine-tuned version of [aubmindlab/bert-base-arabert](https://huggingface.co/aubmindlab/bert-base-arabert) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4400
- Accuracy: 0.8573

## 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: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 1.0   | 323  | 0.6097          | 0.7804   |
| 0.8105        | 2.0   | 646  | 0.4336          | 0.8510   |
| 0.8105        | 3.0   | 969  | 0.4400          | 0.8573   |


### Framework versions

- Transformers 4.48.3
- Pytorch 2.5.1+cu124
- Datasets 3.4.0
- Tokenizers 0.21.0