This model classifies short English animal descriptions as a mammal, bird, or reptile. The model was created for Homework 2, Problem 3. It fine-tunes distilbert-base-uncased using AutoGluon MultiModal. The published dataset splits were used without repartitioning: The training split contains 70 original descriptions and 1000 augmented descriptions. The validation and test splits contain only original descriptions. Related examples were kept within the same split using the dataset's parentid and animalrow provenance fields. The model was trained for a maximum of five epochs. The checkpoint with the best validation accuracy was retained. Validation accuracy was 0.6000 and validation weighted…
Independent publisher
Can Jin
cannj
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Datasets in Library0
Models on Hugging Face3
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Published tasks: Text classification.
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