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# bert-base-arabic-emotion-analysis-v2

This model is a fine-tuned version of [asafaya/bert-base-arabic](https://huggingface.co/asafaya/bert-base-arabic) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.7012
- Accuracy: 0.7983
- F1: 0.7984

## 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: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
| 0.3992        | 1.0   | 102  | 0.6278          | 0.7928   | 0.7943 |
| 0.2281        | 2.0   | 204  | 0.6513          | 0.8011   | 0.8006 |
| 0.1703        | 3.0   | 306  | 0.7012          | 0.7983   | 0.7984 |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0

{"tags": ["generated_from_trainer"], "metrics": ["accuracy", "f1"], "base_model": "asafaya/bert-base-arabic", "model-index": [{"name": "bert-base-arabic-emotion-analysis-v2", "results": []}]}
transformers pytorch tensorboard safetensors bert text-classification generated_from_trainer base_model:asafaya/bert-base-arabic autotrain_compatible endpoints_compatible region:us