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  1. README.md +4 -4
  2. model.safetensors +1 -1
README.md CHANGED
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  # T5-based Audio Transcription Fusion Model
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- This model combines transcriptions from multiple sources to generate an optimal transcription. It is fine-tuned on a dataset where each sample has three candidate transcriptions and a reference transcription.
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  ### Training Details
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  Model trained on 21000 samples for 10 epochs with T5-small as the base model.
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- Training Loss: 0.00022581950179301202
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  ### Evaluation Details
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- Test Loss: 0.011895381462127404
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- Word Error Rate (WER): 0.07370435071957408
 
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  # T5-based Audio Transcription Fusion Model
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+ 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.
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  ### Training Details
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  Model trained on 21000 samples for 10 epochs with T5-small as the base model.
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+ Training Loss: 0.004994123708456755
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  ### Evaluation Details
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+ Test Loss: 0.011637951454891172
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+ Word Error Rate (WER): 0.0726561850095666
model.safetensors CHANGED
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