pitangent-ds/GPT2-genre-detection

<!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. -->

GPT2-genre-detection

This model is a fine-tuned version of 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 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:

{
    "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
• —trainbatchsize: 8
• —evalbatchsize: 32
• —seed: 85855289
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: cosine
• —lrschedulerwarmup_ratio: 0.05
• —num_epochs: 2

Training results

Framework versions

• —Transformers 4.36.2
• —Pytorch 2.1.0+cu121
• —Datasets 2.16.0
• —Tokenizers 0.15.0