vit-base-patch16-224-Futurama_Image_multilabel_clf

This model is a fine-tuned version of google/vit-base-patch16-224.

It achieves the following results on the evaluation set:

• Loss: 0.0592
• F1: 0.9818
• Roc Auc: 0.9842
• Accuracy: 0.9672

Model description

This is a multilabel classification model of screenshot images from the show Futurama.

For more information on how it was created, check out the following link: https://github.com/DunnBC22/Vision_Audio_and_Multimodal_Projects/blob/main/Computer%20Vision/Image%20Classification/Multilabel%20Classification/Futurama%20Screenshots/Futurama%20-%20ML%20Image%20CLF.ipynb

Intended uses & limitations

This model is intended to demonstrate my ability to solve a complex problem using technology.

Training and evaluation data

Dataset Source: https://www.kaggle.com/datasets/gonzalorecioc/futurama-frames-with-characteronscreen-data

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

• learning_rate: 2e-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: 8

Training results

Framework versions

• Transformers 4.26.1
• Pytorch 1.12.1
• Datasets 2.8.0
• Tokenizers 0.12.1

License Notice

This model is a fine-tuned derivative of a pretrained model. Users must comply with the original model license.

Dataset Notice

This model was fine-tuned on third-party datasets which may have separate licenses or usage restrictions.