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dog_breeds_vit_largeV1

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metadata
license: apache-2.0
base_model: google/vit-large-patch16-224-in21k
tags:
  - generated_from_trainer
model-index:
  - name: dog_breeds_vit_largeV1
    results: []

dog_breeds_vit_largeV1

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

  • eval_loss: 0.4536
  • eval_accuracy: 0.8701
  • eval_runtime: 30.8691
  • eval_samples_per_second: 200.006
  • eval_steps_per_second: 3.142
  • epoch: 28.0
  • step: 6328

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: 5e-05
  • train_batch_size: 64
  • eval_batch_size: 64
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_ratio: 0.1
  • num_epochs: 40
  • mixed_precision_training: Native AMP

Framework versions

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