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# bert-base-arabic-emotion-analysis

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: 0.6663
- Accuracy: 0.7735
- F1: 0.7743

## 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     |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
| 0.9659        | 1.0   | 102  | 0.6925          | 0.7610   | 0.7632 |
| 0.5509        | 2.0   | 204  | 0.6851          | 0.7652   | 0.7652 |
| 0.4321        | 3.0   | 306  | 0.6663          | 0.7735   | 0.7743 |


### Framework versions

- Transformers 4.35.1
- Pytorch 2.1.0+cu118
- Datasets 2.14.7
- Tokenizers 0.14.1

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