MWE of fine-tuning a Transformer-based speech embedder (e.g. wav2vec 2.0) on a subset of FSD50K using pytorch_lightning and HuggingFace transformers.
Please refer to this executable Colab notebook importing the code from this repo as well as a 500-element subset of the original FSD50K dataset for a concrete train+test example.
Note: intended as an editable incentive for jumping into FSD50K and the Pytorch-Lightning+HuggingFace framework, and as a showcase for an end-of-studies project -- choices have been made and some logic has been altered to (greatly) reduce the size of the original code.
Attribution and licenses:
- The FSD50K dataset is licensed under CC BY 4.0
- The 500-element subset used here only includes CC0 1.0 audio samples