eugenecamus/resnet-50-base-beans-demo

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resnet-50-base-beans-demo

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

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

• —learning_rate: 0.002
• —trainbatchsize: 8
• —evalbatchsize: 8
• —seed: 1337
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: cosine
• —lrschedulerwarmup_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