README.md

metadata

library_name: transformers
license: apache-2.0
base_model: google/vit-base-patch16-224-in21k
tags:
  - generated_from_trainer
metrics:
  - accuracy
widget:
  - src: >-
      https://huggingface.co./miguel-organization/vit-model-miguel-gutierrez/resolve/main/bean_rust.jpeg
    example_title: Bean Rust
  - src: >-
      https://huggingface.co./miguel-organization/vit-model-miguel-gutierrez/resolve/main/healthy.jpeg
    example_title: Healthy
model-index:
  - name: vit-model-miguel-gutierrez
    results: []

vit-model-miguel-gutierrez

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

• Loss: 0.0097
• 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: 0.0002
• train_batch_size: 8
• eval_batch_size: 8
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 4

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.1263	3.8462	500	0.0097	1.0

Framework versions

• Transformers 4.44.2
• Pytorch 2.4.1+cu121
• Datasets 3.0.1
• Tokenizers 0.19.1