ashleyradford
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Create README.md
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README.md
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---
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datasets:
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- cats_vs_dogs
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language:
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- en
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metrics:
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- accuracy
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library_name: transformers
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---
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# Image Classification
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Classifies cat and dog images using a subset of the cats_vs_dogs dataset.<br>
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Uses PyTorch for the preprocessing, training, and inference.
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```
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output_dir="cats_vs_dogs_model"
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remove_unused_columns=False
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evaluation_strategy="epoch"
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save_strategy="epoch"
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learning_rate=5e-5
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per_device_train_batch_size=16
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gradient_accumulation_steps=4
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per_device_eval_batch_size=16
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num_train_epochs=3
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warmup_ratio=0.1
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logging_steps=10
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load_best_model_at_end=True
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metric_for_best_model="accuracy"
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push_to_hub=True
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```
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Note: during the training, I tried adjusting some of the above hyperparameters (like making the learning rate 0.1 as we have seen in class). But then the model could only classify cats and not dogs.
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