Robust Speech Recognition Event
Collection
The event ran from January 24 to February 7, 2022. Participants used the wav2vec2 model series to develop cutting-edge speech recognition models.
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13 items
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Updated
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1
This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on the common_voice dataset. It achieves the following results on the evaluation set:
The following hyperparameters were used during training:
Training Loss | Epoch | Step | Validation Loss | Wer | Cer |
---|---|---|---|---|---|
6.1097 | 5.49 | 500 | 3.1422 | 1.0 | 1.0 |
2.985 | 10.98 | 1000 | 1.7357 | 0.9876 | 0.4125 |
1.0363 | 16.48 | 1500 | 0.4773 | 0.3510 | 0.1047 |
0.6111 | 21.97 | 2000 | 0.3937 | 0.2998 | 0.0910 |
0.4942 | 27.47 | 2500 | 0.3779 | 0.2776 | 0.0844 |
0.4421 | 32.96 | 3000 | 0.3745 | 0.2630 | 0.0807 |
0.4018 | 38.46 | 3500 | 0.3685 | 0.2553 | 0.0781 |
0.3759 | 43.95 | 4000 | 0.3618 | 0.2488 | 0.0761 |
0.3646 | 49.45 | 4500 | 0.3641 | 0.2473 | 0.0758 |
Base model
facebook/wav2vec2-xls-r-300m