priyankloco/resnet-101-finetuned_resnet101-sgd-optimizer-autotags

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resnet-101-finetuned_resnet101-sgd-optimizer-autotags

This model is a fine-tuned version of microsoft/resnet-101 on the imagefolder dataset. It achieves the following results on the evaluation set:

• —Loss: 1.0245
• —Accuracy: 0.6781

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: 0.0005
• —trainbatchsize: 16
• —evalbatchsize: 16
• —seed: 42
• —gradientaccumulationsteps: 4
• —totaltrainbatch_size: 64
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —lrschedulerwarmup_ratio: 0.1
• —num_epochs: 10

Training results

Framework versions

• —Transformers 4.25.1
• —Pytorch 1.13.1+cu117
• —Datasets 2.11.0
• —Tokenizers 0.13.2