awindb/swinv2-tiny-patch4-window8-256-finetuned-lora-food101

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swinv2-tiny-patch4-window8-256-finetuned-lora-food101

This model is a fine-tuned version of microsoft/swinv2-tiny-patch4-window8-256 on the catsvsdogs dataset. It achieves the following results on the evaluation set:

• —Loss: 0.0096
• —Accuracy: 1.0

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: 0.005
• —trainbatchsize: 128
• —evalbatchsize: 128
• —seed: 42
• —gradientaccumulationsteps: 4
• —totaltrainbatch_size: 512
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —num_epochs: 5

Training results

Framework versions

• —PEFT 0.7.1
• —Transformers 4.36.2
• —Pytorch 2.1.0+cpu
• —Datasets 2.16.1
• —Tokenizers 0.15.0