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README.md
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## Training procedure
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The model has been finetuned on
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- Learning rate schedule : Double Tri-state schedule
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- Warmup from 1e-5 for 7% of total updates
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## Training procedure
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The model has been finetuned on Commonvoice-v13 (FR) for 14 epochs on a 4x2080 Ti GPUs at Cnam/LMMSC using a ddp strategy and gradient-accumulation procedure (256 audios per update, corresponding roughly to 25 minutes of speech per update -> 2k updates per epoch)
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- Learning rate schedule : Double Tri-state schedule
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- Warmup from 1e-5 for 7% of total updates
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