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ai-light-dance_singing3_ft_wav2vec2-large-xlsr-53

Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
wav2vec2
gary109/AI_Light_Dance
Generated from Trainer
Inference Endpoints
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update model card README.md

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  ---
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  license: apache-2.0
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  tags:
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- - automatic-speech-recognition
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- - gary109/AI_Light_Dance
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  - generated_from_trainer
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  model-index:
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  - name: ai-light-dance_singing3_ft_wav2vec2-large-xlsr-53
@@ -14,10 +12,10 @@ should probably proofread and complete it, then remove this comment. -->
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  # ai-light-dance_singing3_ft_wav2vec2-large-xlsr-53
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- This model is a fine-tuned version of [gary109/ai-light-dance_singing3_ft_wav2vec2-large-xlsr-53](https://huggingface.co/gary109/ai-light-dance_singing3_ft_wav2vec2-large-xlsr-53) on the GARY109/AI_LIGHT_DANCE - ONSET-SINGING3 dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 1.1353
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- - Wer: 0.7663
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  ## Model description
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@@ -52,36 +50,36 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Wer |
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  |:-------------:|:-----:|:-----:|:---------------:|:------:|
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- | 1.3231 | 1.0 | 1154 | 1.4942 | 0.9010 |
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- | 1.1895 | 2.0 | 2308 | 1.3865 | 0.8682 |
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- | 1.2573 | 3.0 | 3462 | 1.3598 | 0.8826 |
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- | 1.3198 | 4.0 | 4616 | 1.3458 | 0.8572 |
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- | 1.1908 | 5.0 | 5770 | 1.3865 | 0.8782 |
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- | 1.2234 | 6.0 | 6924 | 1.3010 | 0.8481 |
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- | 1.1463 | 7.0 | 8078 | 1.2966 | 0.8469 |
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- | 1.0843 | 8.0 | 9232 | 1.2522 | 0.8286 |
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- | 1.0635 | 9.0 | 10386 | 1.2851 | 0.8315 |
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- | 1.05 | 10.0 | 11540 | 1.2566 | 0.8318 |
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- | 1.023 | 11.0 | 12694 | 1.2548 | 0.8348 |
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- | 0.9521 | 12.0 | 13848 | 1.2115 | 0.8058 |
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- | 0.9883 | 13.0 | 15002 | 1.1967 | 0.8048 |
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- | 0.946 | 14.0 | 16156 | 1.2341 | 0.8364 |
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- | 0.9802 | 15.0 | 17310 | 1.1873 | 0.7967 |
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- | 0.9286 | 16.0 | 18464 | 1.2341 | 0.8286 |
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- | 0.9262 | 17.0 | 19618 | 1.2042 | 0.8187 |
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- | 0.9436 | 18.0 | 20772 | 1.1683 | 0.7919 |
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- | 0.8974 | 19.0 | 21926 | 1.1567 | 0.7837 |
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- | 0.8718 | 20.0 | 23080 | 1.1517 | 0.7853 |
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- | 0.8892 | 21.0 | 24234 | 1.1575 | 0.7922 |
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- | 0.9378 | 22.0 | 25388 | 1.1563 | 0.7724 |
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- | 0.8736 | 23.0 | 26542 | 1.1381 | 0.7687 |
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- | 0.814 | 24.0 | 27696 | 1.1353 | 0.7663 |
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- | 0.8456 | 25.0 | 28850 | 1.1518 | 0.7742 |
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- | 0.9203 | 26.0 | 30004 | 1.1480 | 0.7756 |
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- | 0.7857 | 27.0 | 31158 | 1.1426 | 0.7721 |
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- | 0.8461 | 28.0 | 32312 | 1.1409 | 0.7722 |
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- | 0.818 | 29.0 | 33466 | 1.1380 | 0.7674 |
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- | 0.9184 | 30.0 | 34620 | 1.1429 | 0.7762 |
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  ### Framework versions
 
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  ---
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  license: apache-2.0
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  tags:
 
 
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  - generated_from_trainer
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  model-index:
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  - name: ai-light-dance_singing3_ft_wav2vec2-large-xlsr-53
 
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  # ai-light-dance_singing3_ft_wav2vec2-large-xlsr-53
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+ This model is a fine-tuned version of [gary109/ai-light-dance_singing3_ft_wav2vec2-large-xlsr-53](https://huggingface.co/gary109/ai-light-dance_singing3_ft_wav2vec2-large-xlsr-53) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 1.0278
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+ - Wer: 0.6756
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Wer |
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  |:-------------:|:-----:|:-----:|:---------------:|:------:|
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+ | 0.9731 | 1.0 | 1154 | 1.1499 | 0.7921 |
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+ | 0.8422 | 2.0 | 2308 | 1.1470 | 0.7660 |
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+ | 0.8401 | 3.0 | 3462 | 1.1128 | 0.7647 |
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+ | 0.9094 | 4.0 | 4616 | 1.1060 | 0.7371 |
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+ | 0.8339 | 5.0 | 5770 | 1.0808 | 0.7513 |
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+ | 0.8394 | 6.0 | 6924 | 1.0556 | 0.7367 |
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+ | 0.8187 | 7.0 | 8078 | 1.0714 | 0.7257 |
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+ | 0.7501 | 8.0 | 9232 | 1.0586 | 0.7339 |
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+ | 0.7654 | 9.0 | 10386 | 1.0541 | 0.7168 |
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+ | 0.7902 | 10.0 | 11540 | 1.0216 | 0.7172 |
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+ | 0.7572 | 11.0 | 12694 | 1.0404 | 0.7159 |
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+ | 0.6609 | 12.0 | 13848 | 1.0318 | 0.7205 |
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+ | 0.6602 | 13.0 | 15002 | 1.0353 | 0.7008 |
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+ | 0.6401 | 14.0 | 16156 | 1.0307 | 0.7161 |
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+ | 0.7059 | 15.0 | 17310 | 1.0093 | 0.6919 |
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+ | 0.6832 | 16.0 | 18464 | 1.0379 | 0.7006 |
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+ | 0.6653 | 17.0 | 19618 | 1.0230 | 0.6979 |
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+ | 0.6931 | 18.0 | 20772 | 1.0222 | 0.6869 |
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+ | 0.6438 | 19.0 | 21926 | 1.0265 | 0.6954 |
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+ | 0.6072 | 20.0 | 23080 | 1.0189 | 0.6839 |
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+ | 0.6643 | 21.0 | 24234 | 1.0244 | 0.6821 |
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+ | 0.6858 | 22.0 | 25388 | 1.0180 | 0.6903 |
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+ | 0.6395 | 23.0 | 26542 | 1.0225 | 0.6788 |
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+ | 0.566 | 24.0 | 27696 | 1.0225 | 0.6716 |
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+ | 0.6353 | 25.0 | 28850 | 1.0324 | 0.6792 |
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+ | 0.7075 | 26.0 | 30004 | 1.0266 | 0.6829 |
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+ | 0.5473 | 27.0 | 31158 | 1.0232 | 0.6742 |
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+ | 0.6265 | 28.0 | 32312 | 1.0253 | 0.6747 |
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+ | 0.5805 | 29.0 | 33466 | 1.0262 | 0.6724 |
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+ | 0.6567 | 30.0 | 34620 | 1.0278 | 0.6756 |
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  ### Framework versions