swinv2-small-patch4-window8-256-finetuned-eurosat

This model is a fine-tuned version of microsoft/swinv2-small-patch4-window8-256 on the food101 dataset. It achieves the following results on the evaluation set:

• Loss: 0.4063
• Accuracy: 0.8847

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: 32
• eval_batch_size: 32
• seed: 42
• gradient_accumulation_steps: 4
• total_train_batch_size: 128
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_ratio: 0.1
• num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
1.3521	1.0	592	0.7233	0.7967
0.9887	2.0	1184	0.5211	0.8519
0.845	3.0	1776	0.4063	0.8847

Framework versions

• Transformers 4.32.1
• Pytorch 2.0.1+cu118
• Datasets 2.14.4
• Tokenizers 0.13.3