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huggingpics-package-demo-2

Image Classification Transformers PyTorch TensorBoard vit huggingpics generated_from_trainer Inference Endpoints
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metadata
license: apache-2.0
tags:
  - image-classification
  - huggingpics
  - generated_from_trainer

huggingpics-package-demo-2

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: 0.3761
  • Acc: 0.9403

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: 16
  • eval_batch_size: 16
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 4.0
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Acc
1.0328 1.0 24 0.9442 0.7463
0.8742 2.0 48 0.7099 0.9403
0.6451 3.0 72 0.5050 0.9403
0.508 4.0 96 0.3761 0.9403

Framework versions

  • Transformers 4.12.3
  • Pytorch 1.9.0+cu111
  • Tokenizers 0.10.3