Cinnamon-Plant-Model-Final

This model is a fine-tuned version of google/vit-base-patch16-224-in21k on the imagefolder dataset. It achieves the following results on the evaluation set:

• eval_loss: 0.0348
• eval_accuracy: 0.9796
• eval_runtime: 8.12
• eval_samples_per_second: 6.034
• eval_steps_per_second: 1.601
• epoch: 187.0
• step: 1683

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: 2e-05
• train_batch_size: 32
• eval_batch_size: 4
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 200

Framework versions

• Transformers 4.34.0
• Pytorch 2.1.0
• Datasets 2.14.6
• Tokenizers 0.14.1