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vasudevgupta/finetuned-wav2vec2-960h
finetuned-wav2vec2-960h is a machine learning model from vasudevgupta. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers.
This model was trained as a part of my GSoC'21 (Google Summer of Code) project. It is fine-tuned on 960h of LibriSpeech dataset (train-clean-100, train-clean-360, train-other-500) and evaluated on test-clean data.
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From the Hugging Face model README
This model was trained as a part of my GSoC'21 (Google Summer of Code) project. It is fine-tuned on 960h of LibriSpeech dataset (train-clean-100, train-clean-360, train-other-500) and evaluated on test-clean data.
| WER (word error rate) | 5.67 |
|---|
You can find code for training here: https://github.com/vasudevgupta7/gsoc-wav2vec2.