Edit model card

Image Classification

Classifies food images using a subset of the food101 dataset.
Uses PyTorch for the preprocessing, training, and inference.

  output_dir="cats_vs_dogs_model"
  remove_unused_columns=False
  evaluation_strategy="epoch"
  save_strategy="epoch"
  learning_rate=5e-5
  per_device_train_batch_size=16
  gradient_accumulation_steps=4
  per_device_eval_batch_size=16
  num_train_epochs=3
  warmup_ratio=0.1
  logging_steps=10
  load_best_model_at_end=True
  metric_for_best_model="accuracy"
  push_to_hub=True
Downloads last month
2
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social visibility and check back later, or deploy to Inference Endpoints (dedicated) instead.

Dataset used to train ashleyradford/my_awesome_food_model