swinv2-tiny-patch4-window8-256-finetuned-THFOOD-50

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swinv2-tiny-patch4-window8-256-finetuned-THFOOD-50

This model is a fine-tuned version of microsoft/swinv2-tiny-patch4-window8-256 on the THFOOD-50 dataset. It achieves the following results on the:
Train set

• Loss: 0.1669
• Accuracy: 0.9557

Validation set

• Loss: 0.2535
• Accuracy: 0.9344

Test set

• Loss: 0.2669
• Accuracy: 0.9292

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: 5e-05
• train_batch_size: 64
• eval_batch_size: 64
• seed: 42
• gradient_accumulation_steps: 4
• total_train_batch_size: 256
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_ratio: 0.1
• num_epochs: 20

Training results

Framework versions

• Transformers 4.28.1
• Pytorch 2.0.0+cu118
• Datasets 2.11.0
• Tokenizers 0.13.3