davethaler/whale-call-detector

Audio Classification·davethaler· 288

transformers bsd-3-clause Audio Classification 86.2M params base_model:MIT/ast-finetuned-audioset-10-10-0.4593base_model:finetune:MIT/ast-finetuned-audioset-10-10-0.4593license:bsd-3-clauseregion:us

This model is a fine-tuned version of MIT/ast-finetuned-audioset-10-10-0.4593 on the None dataset. It achieves the following results on the evaluation set: - Loss: 0.4111 - Accuracy: 0.8889 - Precision: 0.8947 - Recall: 0.8889 - F1: 0.9300 - F1 Water: 0.8 - F1 Resident: 0.9565 - F1 Transient: 0.9167 - F1 Humpback: 0.9167 - F1 Vessel: 0.75 - F1 Jingle: 0.8333 - F1 Human: 0.9412

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# pull & run locally
pip install mlforge-sdk && mlforge pull davethaler/whale-call-detector

Model details

Task

Audio Classification

Provider

davethaler

Framework

transformers

Parameters

86.2M

Size

94 GB

License

bsd-3-clause

Downloads

288

Updated

2026-06-10

About davethaler/whale-call-detector

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