T5-based Audio Transcription Fusion Model
This model combines transcriptions from multiple sources separated by '/' to generate an optimal transcription. It is fine-tuned on a dataset where each sample has three candidate transcriptions and a reference transcription.
Training Details
Model trained on 21000 samples for 10 epochs with T5-small as the base model.
Training Loss: 0.004994123708456755
Evaluation Details
Test Loss: 0.011637951454891172
Word Error Rate (WER): 0.0726561850095666
