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README.md
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This model is a distilled version of the wav2vec2 model (https://arxiv.org/pdf/2006.11477.pdf). This model is 45% times smaller and 3 times faster than the original wav2vec2 base model.
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# Evaluation results
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This model achieves the following results :
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|Model| Size| WER Librispeech-test-clean |WER Librispeech-test-other|
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|----------| ------------- |-------------|-----------|
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|Distil-wav2vec2| 197.9 Mb | 0.0983 | 0.2266|
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|wav2vec2-base| 360 Mb | 0.0389 | 0.1047|
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# Usage
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notebook (google colab) at https://github.com/OthmaneJ/distil-wav2vec2
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This model is a distilled version of the wav2vec2 model (https://arxiv.org/pdf/2006.11477.pdf). This model is 45% times smaller and 3 times faster than the original wav2vec2 base model.
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# Evaluation results
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This model achieves the following results (speed is mesured for a batch size of 64):
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|Model| Size| WER Librispeech-test-clean |WER Librispeech-test-other|Speed on cpu|speed on gpu|
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|----------| ------------- |-------------|-----------| ------|----|
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|Distil-wav2vec2| 197.9 Mb | 0.0983 | 0.2266|0.4006s| 0.0082s|
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|wav2vec2-base| 360 Mb | 0.0389 | 0.1047| 0.4919s|0.0046s |
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# Usage
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notebook (executes seamlessly on google colab) at https://github.com/OthmaneJ/distil-wav2vec2
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