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update readme for trainign data

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  1. README.md +3 -0
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@@ -12,8 +12,11 @@ pipeline_tag: automatic-speech-recognition
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  - **Description:** This model is a fine-tuned version of the OpenAI Whisper Large-v2 model, tailored for speech recognition tasks using the LEVI v2 dataset, which consists of classroom audiovisual recording data.
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  - **Model Architecture:** openai/whisper-large-v2
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  - **Dataset:** LEVI_LoFi_v2/TRAIN (per-utterance transcript and 16k WAV audio)
 
 
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  ## Training Details
 
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  - **Training Procedure:**
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  - LoRA Parameter Efficient Fine-tuning technique with the following parameters:
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  - r=32
 
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  - **Description:** This model is a fine-tuned version of the OpenAI Whisper Large-v2 model, tailored for speech recognition tasks using the LEVI v2 dataset, which consists of classroom audiovisual recording data.
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  - **Model Architecture:** openai/whisper-large-v2
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  - **Dataset:** LEVI_LoFi_v2/TRAIN (per-utterance transcript and 16k WAV audio)
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+ - both student and tutor speech were used
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+ - manifest: LEVI_LoFi_v2_TRAIN_punc+cased.csv
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  ## Training Details
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+
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  - **Training Procedure:**
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  - LoRA Parameter Efficient Fine-tuning technique with the following parameters:
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  - r=32