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# GPT2-genre-detection

This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on the datadrivenscience/movie-genre-prediction dataset.
It achieves the following results on the evaluation set:
- Loss: 1.5267
- Accuracy: 0.4593
- Matthews Correlation: 0.1010

##  description

[Data-Driven Science](https://huggingface.co/datadrivenscience) organized a competition where in the goal was to fine tune a model that can predict the genre of a movie from a given synopsis. There were a total of 10 genres as follows:
```json
{
    "0": "horror",
    "1": "adventure",
    "2": "action",
    "3": "crime",
    "4": "mystery",
    "5": "family",
    "6": "scifi",
    "7": "thriller",
    "8": "fantasy",
    "9": "romance"
  }
```


### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 8
- eval_batch_size: 32
- seed: 85855289
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.05
- num_epochs: 2

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Accuracy | Matthews Correlation |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|:--------------------:|
| 1.5765        | 1.0   | 10125 | 1.5562          | 0.4589   | 0.0899               |
| 1.5058        | 2.0   | 20250 | 1.5267          | 0.4593   | 0.1010               |


### Framework versions

- Transformers 4.36.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.0
- Tokenizers 0.15.0
{"language": ["en"], "license": "mit", "library_name": "transformers", "tags": ["pytorch", "GPT2ForSequenceClassification", "generated_from_trainer"], "datasets": ["datadrivenscience/movie-genre-prediction"], "metrics": ["accuracy", "matthews_correlation"], "base_model": "gpt2", "pipeline_tag": "text-classification", "model-index": [{"name": "GPT2-genre-detection", "results": []}]}
transformers tensorboard safetensors gpt2 text-classification pytorch GPT2ForSequenceClassification generated_from_trainer en dataset:datadrivenscience/movie-genre-prediction base_model:gpt2 license:mit autotrain_compatible endpoints_compatible text-generation-inference region:us