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add vibravox paper on arXiV

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@@ -29,7 +29,7 @@ The primary task for these models is an ASR task in the speech-to-phoneme contex
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  All models are finetuned versions of [facebook/wav2vec2-base-fr-voxpopuli-v2](https://huggingface.co/facebook/wav2vec2-base-fr-voxpopuli-v2) and adapted to different sensor inputs. They are intended to be used at a sample rate of 16kHz.
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  ## Training Procedure
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- The models were each finetuned for 10 epochs with a constant learning rate of 1e-5. Detailed instructions for reproducing the experiments are available on the [jhauret/vibravox](https://github.com/jhauret/vibravox) Github repository.
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  ## Available Models
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  All models are finetuned versions of [facebook/wav2vec2-base-fr-voxpopuli-v2](https://huggingface.co/facebook/wav2vec2-base-fr-voxpopuli-v2) and adapted to different sensor inputs. They are intended to be used at a sample rate of 16kHz.
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  ## Training Procedure
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+ The models were each finetuned for 10 epochs with a constant learning rate of 1e-5. Detailed instructions for reproducing the experiments are available on the [jhauret/vibravox](https://github.com/jhauret/vibravox) Github repository and in the [VibraVox paper on arXiV](https://arxiv.org/abs/2407.11828).
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  ## Available Models
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