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# google-play-sentiment-analysis

This model is a fine-tuned version of [neuralmind/bert-base-portuguese-cased](https://huggingface.co/neuralmind/bert-base-portuguese-cased) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.1945
- Accuracy: 0.462

## 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: 5e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 1.0   | 288  | 1.3033          | 0.4577   |
| 1.236         | 2.0   | 576  | 1.2997          | 0.468    |
| 1.236         | 3.0   | 864  | 1.5603          | 0.4553   |
| 0.6955        | 4.0   | 1152 | 1.8277          | 0.4773   |
| 0.6955        | 5.0   | 1440 | 2.1945          | 0.462    |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.15.0
- Tokenizers 0.15.0

{"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "neuralmind/bert-base-portuguese-cased", "model-index": [{"name": "google-play-sentiment-analysis", "results": []}]}
transformers tensorboard safetensors bert text-classification generated_from_trainer base_model:neuralmind/bert-base-portuguese-cased license:mit autotrain_compatible endpoints_compatible region:us