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--- |
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language: |
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- en |
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license: mit |
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base_model: gpt2 |
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tags: |
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- pytorch |
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- GPT2ForSequenceClassification |
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- generated_from_trainer |
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metrics: |
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- accuracy |
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- matthews_correlation |
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model-index: |
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- name: GPT2-genre-detection |
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results: [] |
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library_name: transformers |
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pipeline_tag: text-classification |
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datasets: |
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- datadrivenscience/movie-genre-prediction |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# GPT2-genre-detection |
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This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on the datadrivenscience/movie-genre-prediction dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.5267 |
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- Accuracy: 0.4593 |
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- Matthews Correlation: 0.1010 |
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## description |
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[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: |
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```json |
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{ |
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"0": "horror", |
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"1": "adventure", |
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"2": "action", |
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"3": "crime", |
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"4": "mystery", |
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"5": "family", |
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"6": "scifi", |
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"7": "thriller", |
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"8": "fantasy", |
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"9": "romance" |
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} |
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``` |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 2e-05 |
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- train_batch_size: 8 |
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- eval_batch_size: 32 |
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- seed: 85855289 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: cosine |
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- lr_scheduler_warmup_ratio: 0.05 |
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- num_epochs: 2 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | Matthews Correlation | |
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|:-------------:|:-----:|:-----:|:---------------:|:--------:|:--------------------:| |
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| 1.5765 | 1.0 | 10125 | 1.5562 | 0.4589 | 0.0899 | |
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| 1.5058 | 2.0 | 20250 | 1.5267 | 0.4593 | 0.1010 | |
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### Framework versions |
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- Transformers 4.36.2 |
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- Pytorch 2.1.0+cu121 |
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- Datasets 2.16.0 |
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- Tokenizers 0.15.0 |
