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pkr7098
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vit-base-beans

Image Classification
PEFT
Safetensors
vit
vision
Generated from Trainer
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metadata
base_model: google/vit-base-patch16-224-in21k
library_name: peft
license: apache-2.0
metrics:
  - accuracy
tags:
  - image-classification
  - vision
  - generated_from_trainer
model-index:
  - name: vit-base-beans
    results: []

vit-base-beans

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

  • Loss: 0.8530
  • Accuracy: 0.8045

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: 8
  • eval_batch_size: 8
  • seed: 1337
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 5.0

Training results

Training Loss Epoch Step Validation Loss Accuracy
1.0326 1.0 130 1.0319 0.6090
0.9721 2.0 260 0.9699 0.7293
0.8948 3.0 390 0.9060 0.7820
0.8524 4.0 520 0.8661 0.8045
0.866 5.0 650 0.8530 0.8045

Framework versions

  • PEFT 0.12.0
  • Transformers 4.44.2
  • Pytorch 2.0.1+cu117
  • Datasets 3.0.0
  • Tokenizers 0.19.1