Resnet 50 Base Beans Demo

🚀 resnet-50-base-beans-demo

This is a fine - tuned model based on microsoft/resnet-50 for image classification on the beans dataset, achieving high accuracy.

🚀 Quick Start

This model is a fine - tuned version of microsoft/resnet-50 on the beans dataset. It achieves the following results on the evaluation set:

• Loss: 0.2188
• Accuracy: 0.9023

✨ Features

• Fine - tuned: Based on the pre - trained microsoft/resnet-50, fine - tuned on the beans dataset.
• High Accuracy: Achieves an accuracy of 0.9023 on the evaluation set.

🔧 Technical Details

Training hyperparameters

The following hyperparameters were used during training:

• learning_rate: 0.002
• train_batch_size: 8
• eval_batch_size: 8
• seed: 1337
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e - 08
• lr_scheduler_type: cosine
• lr_scheduler_warmup_ratio: 0.1
• num_epochs: 1.0

Training results

Framework versions

• Transformers 4.19.2
• Pytorch 1.11.0+cu102
• Datasets 2.2.1
• Tokenizers 0.12.1

📄 License

No license information provided in the original document.