Edit model card

orchid219_ft_vit-large-patch16-224-in21k-finetuned-eurosat

This model is a fine-tuned version of gary109/orchid219_ft_vit-large-patch16-224-in21k on the image_folder dataset. It achieves the following results on the evaluation set:

  • Loss: 0.9545
  • Accuracy: 0.9231

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: 10
  • eval_batch_size: 10
  • seed: 42
  • gradient_accumulation_steps: 4
  • total_train_batch_size: 40
  • 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
3.5728 0.96 17 2.1936 0.8718
1.6005 1.96 34 1.2044 0.9359
0.9764 2.96 51 0.9545 0.9231

Framework versions

  • Transformers 4.19.2
  • Pytorch 1.11.0+cu113
  • Datasets 2.2.2
  • Tokenizers 0.12.1
Downloads last month
23
Hosted inference API
Drag image file here or click to browse from your device
This model can be loaded on the Inference API on-demand.

Evaluation results