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Update README.md
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README.md
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args: ml
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metrics:
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- type: wer
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value:
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name: WER
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- type: cer
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value:
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name: CER
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library_name: transformers
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---
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**In Mozilla CommonVoice 11.0 dataset (Malayalam subset):**
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WER -
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CER -
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**In SMC Malayalam Speech Corpus dataset:**
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WER -
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CER -
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args: ml
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metrics:
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- type: wer
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value: 61.84
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name: WER
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- type: cer
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value: 15.41
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name: CER
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library_name: transformers
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---
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**In Mozilla CommonVoice 11.0 dataset (Malayalam subset):**
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WER - 61.84
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CER - 15.41
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**In SMC Malayalam Speech Corpus dataset:**
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WER - 70.49
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CER - 17.0
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## Training
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[Script Used for training](https://github.com/kurianbenoy/Keyword_generator_project/blob/main/Whisper_IMASC_final_e2eofficerun.ipynb)
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[Training run](https://wandb.ai/hello34/wandb_whisper_e2e/runs/q2xlvbw5)
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[Experiment Tracking with Weights and Biases](https://wandb.ai/hello34/wandb_whisper_e2e)
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- GPUs used: A100 and 80 GB
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- Training Time: 16 hours
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- This project was build with A100 80GB GPU provided by [E2E during their open hack day](https://www.eventbrite.com/e/open-hack-day-tickets-783582435157)
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