cat_or_dogs / README.md
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metadata
license: apache-2.0
base_model: akahana/vit-base-cats-vs-dogs
tags:
  - generated_from_trainer
datasets:
  - cats_vs_dogs
model-index:
  - name: cat_or_dogs
    results: []

cat_or_dogs

This model is a fine-tuned version of akahana/vit-base-cats-vs-dogs on the cats_vs_dogs dataset.

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: 1e-06
  • 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: cosine_with_restarts
  • num_epochs: 3
  • mixed_precision_training: Native AMP

Framework versions

  • Transformers 4.37.2
  • Pytorch 2.1.0+cu121
  • Datasets 2.17.1
  • Tokenizers 0.15.2