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ViT_beans

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vit
10_class
multi_labels
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metadata
license: apache-2.0
base_model: google/vit-base-patch16-224-in21k
tags:
  - 10_class
  - multi_labels
  - generated_from_trainer
model-index:
  - name: ViT_beans
    results: []

ViT_beans

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

  • Loss: 0.0327

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: 16
  • 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
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss
0.0672 1.5385 100 0.1739
0.0121 3.0769 200 0.0327

Framework versions

  • Transformers 4.42.4
  • Pytorch 2.4.0+cu121
  • Datasets 2.21.0
  • Tokenizers 0.19.1