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: 0.008486982434988022
Evaluation Details
Test Loss: 0.012162444764789124 Word Error Rate (WER): 0.1033691040678812
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