hilmansw/resnet18-catdog-classifier

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Model description

This model is a fine-tuned version of microsoft/resnet-18 on an custom dataset. This model was built using the "Cats & Dogs Classification" dataset obtained from Kaggle. During the model building process, this was done using the Pytorch framework with pre-trained Resnet-18. The method used during the process of building this classification model is fine-tuning with the dataset.

Training results

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

• —loss_function = CrossEntropyLoss
• —optimizer = AdamW
• —learning_rate: 0.0001
• —batch_size: 16
• —num_epochs: 10

Framework versions

• —Transformers 4.33.2
• —Pytorch 2.0.1+cu118
• —Datasets 2.14.5
• —Tokenizers 0.13.3