
# Image Classification

Classifies food images using a subset of the food101 dataset.<br>
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
```
{"language": ["en"], "library_name": "transformers", "datasets": ["food101"], "metrics": ["accuracy"]}
transformers pytorch tensorboard vit image-classification en dataset:food101 autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #tensorboard #vit #image-classification #en #dataset-food101 #autotrain_compatible #endpoints_compatible #region-us 


# Image Classification

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


# Image Classification

Classifies food images using a subset of the food101 dataset.<br>
Uses PyTorch for the preprocessing, training, and inference.
TAGS
#transformers #pytorch #tensorboard #vit #image-classification #en #dataset-food101 #autotrain_compatible #endpoints_compatible #region-us 
 # Image Classification

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