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# arabert-sentiment-classification

This model is a fine-tuned version of [aubmindlab/bert-large-arabertv02](https://huggingface.co/aubmindlab/bert-large-arabertv02) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5784
- Macro F1: 0.6315
- Accuracy: 0.7864

## 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: 128
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2

### Training results

| Training Loss | Epoch | Step | Validation Loss | Macro F1 | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:|
| No log        | 1.0   | 497  | 0.6109          | 0.5975   | 0.7807   |
| 0.8202        | 2.0   | 994  | 0.5784          | 0.6315   | 0.7864   |


### Framework versions

- Transformers 4.34.0
- Pytorch 2.0.1+cu118
- Tokenizers 0.14.1

{"tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "aubmindlab/bert-large-arabertv02", "model-index": [{"name": "arabert-sentiment-classification", "results": []}]}
transformers pytorch bert text-classification generated_from_trainer base_model:aubmindlab/bert-large-arabertv02 autotrain_compatible endpoints_compatible region:us