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- First fine-tuning try of `wav2vec2-large-lv60`. Results are a bit worse than those reported in the Appendix in Table 3 of the original [paper](https://arxiv.org/pdf/2006.11477.pdf).
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  Model was trained on *librispeech-clean-train.100* with following hyper-parameters:
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  *Result (WER)* on Librispeech test:
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- | "clean" (% rel difference to results in paper) | "other" (% rel difference to results in paper) |
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  |---|---|
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- | To evaluate | To evaluate |
 
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+ Fine-tuning of `wav2vec2-large-lv60` on 100h of Librispeech training data. Results are a bit worse than those reported in the Appendix in Table 3 of the original [paper](https://arxiv.org/pdf/2006.11477.pdf).
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  Model was trained on *librispeech-clean-train.100* with following hyper-parameters:
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  *Result (WER)* on Librispeech test:
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+ | "clean" | "other" |
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  |---|---|
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+ | 4.0 | 10.3 |