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ai-light-dance_singing3_ft_wav2vec2-large-xlsr-53-v1

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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@@ -1,8 +1,6 @@
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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-v1
@@ -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-v1
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- This model is a fine-tuned version of [gary109/ai-light-dance_singing3_ft_wav2vec2-large-xlsr-53-v1](https://huggingface.co/gary109/ai-light-dance_singing3_ft_wav2vec2-large-xlsr-53-v1) 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: 0.5691
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- - Wer: 0.3107
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  ## Model description
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@@ -36,7 +34,7 @@ More information needed
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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- - learning_rate: 1e-05
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  - train_batch_size: 4
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  - eval_batch_size: 4
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  - seed: 42
@@ -44,34 +42,64 @@ The following hyperparameters were used during training:
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  - total_train_batch_size: 16
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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- - lr_scheduler_warmup_steps: 1000
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- - num_epochs: 20.0
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  - mixed_precision_training: Native AMP
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  ### Training results
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- | Training Loss | Epoch | Step | Validation Loss | Wer |
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- |:-------------:|:-----:|:----:|:---------------:|:------:|
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- | 0.5352 | 1.0 | 288 | 0.6025 | 0.3327 |
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- | 0.5365 | 2.0 | 576 | 0.6086 | 0.3480 |
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- | 0.5359 | 3.0 | 864 | 0.6111 | 0.3363 |
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- | 0.5395 | 4.0 | 1152 | 0.6082 | 0.3416 |
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- | 0.5692 | 5.0 | 1440 | 0.5949 | 0.3318 |
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- | 0.5592 | 6.0 | 1728 | 0.6046 | 0.3323 |
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- | 0.5172 | 7.0 | 2016 | 0.5838 | 0.3185 |
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- | 0.5108 | 8.0 | 2304 | 0.6066 | 0.3211 |
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- | 0.4981 | 9.0 | 2592 | 0.5958 | 0.3164 |
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- | 0.5193 | 10.0 | 2880 | 0.5889 | 0.3144 |
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- | 0.4988 | 11.0 | 3168 | 0.5691 | 0.3107 |
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- | 0.4966 | 12.0 | 3456 | 0.5908 | 0.3127 |
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- | 0.4801 | 13.0 | 3744 | 0.5812 | 0.3110 |
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- | 0.5025 | 14.0 | 4032 | 0.5805 | 0.3046 |
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- | 0.5048 | 15.0 | 4320 | 0.5906 | 0.3134 |
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- | 0.4772 | 16.0 | 4608 | 0.5693 | 0.3010 |
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- | 0.4748 | 17.0 | 4896 | 0.5707 | 0.3028 |
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- | 0.4745 | 18.0 | 5184 | 0.5709 | 0.3019 |
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- | 0.4548 | 19.0 | 5472 | 0.5720 | 0.3004 |
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- | 0.4619 | 20.0 | 5760 | 0.5729 | 0.3019 |
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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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-v1
 
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  # ai-light-dance_singing3_ft_wav2vec2-large-xlsr-53-v1
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+ This model is a fine-tuned version of [gary109/ai-light-dance_singing3_ft_wav2vec2-large-xlsr-53-v1](https://huggingface.co/gary109/ai-light-dance_singing3_ft_wav2vec2-large-xlsr-53-v1) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.5592
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+ - Wer: 0.2671
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  ## Model description
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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+ - learning_rate: 8e-06
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  - train_batch_size: 4
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  - eval_batch_size: 4
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  - seed: 42
 
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  - total_train_batch_size: 16
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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+ - lr_scheduler_warmup_steps: 5000
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+ - num_epochs: 50.0
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  - mixed_precision_training: Native AMP
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  ### Training results
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+ | Training Loss | Epoch | Step | Validation Loss | Wer |
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+ |:-------------:|:-----:|:-----:|:---------------:|:------:|
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+ | 0.4853 | 1.0 | 288 | 0.5760 | 0.3098 |
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+ | 0.48 | 2.0 | 576 | 0.5787 | 0.3085 |
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+ | 0.4625 | 3.0 | 864 | 0.5925 | 0.3112 |
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+ | 0.4704 | 4.0 | 1152 | 0.6065 | 0.3108 |
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+ | 0.4854 | 5.0 | 1440 | 0.6036 | 0.3112 |
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+ | 0.4918 | 6.0 | 1728 | 0.6007 | 0.3148 |
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+ | 0.4549 | 7.0 | 2016 | 0.6039 | 0.3073 |
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+ | 0.4546 | 8.0 | 2304 | 0.6129 | 0.3073 |
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+ | 0.4404 | 9.0 | 2592 | 0.6062 | 0.3054 |
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+ | 0.4681 | 10.0 | 2880 | 0.6063 | 0.3075 |
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+ | 0.469 | 11.0 | 3168 | 0.5881 | 0.3031 |
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+ | 0.4903 | 12.0 | 3456 | 0.5913 | 0.3047 |
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+ | 0.4677 | 13.0 | 3744 | 0.5921 | 0.3055 |
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+ | 0.502 | 14.0 | 4032 | 0.5905 | 0.3042 |
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+ | 0.5028 | 15.0 | 4320 | 0.5989 | 0.3088 |
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+ | 0.4706 | 16.0 | 4608 | 0.5665 | 0.3066 |
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+ | 0.4839 | 17.0 | 4896 | 0.6003 | 0.3111 |
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+ | 0.4733 | 18.0 | 5184 | 0.5937 | 0.3039 |
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+ | 0.4544 | 19.0 | 5472 | 0.5903 | 0.3025 |
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+ | 0.4616 | 20.0 | 5760 | 0.6064 | 0.2968 |
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+ | 0.475 | 21.0 | 6048 | 0.5883 | 0.2960 |
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+ | 0.4707 | 22.0 | 6336 | 0.5900 | 0.2888 |
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+ | 0.4562 | 23.0 | 6624 | 0.5642 | 0.2956 |
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+ | 0.455 | 24.0 | 6912 | 0.5732 | 0.2893 |
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+ | 0.5011 | 25.0 | 7200 | 0.5612 | 0.2876 |
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+ | 0.4658 | 26.0 | 7488 | 0.5631 | 0.2915 |
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+ | 0.4423 | 27.0 | 7776 | 0.5668 | 0.2853 |
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+ | 0.4287 | 28.0 | 8064 | 0.5664 | 0.2847 |
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+ | 0.4634 | 29.0 | 8352 | 0.5687 | 0.2875 |
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+ | 0.4413 | 30.0 | 8640 | 0.5684 | 0.2954 |
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+ | 0.4385 | 31.0 | 8928 | 0.5602 | 0.2801 |
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+ | 0.4557 | 32.0 | 9216 | 0.5637 | 0.2747 |
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+ | 0.4344 | 33.0 | 9504 | 0.5690 | 0.2853 |
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+ | 0.4264 | 34.0 | 9792 | 0.5653 | 0.2866 |
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+ | 0.4395 | 35.0 | 10080 | 0.5764 | 0.2808 |
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+ | 0.4278 | 36.0 | 10368 | 0.5758 | 0.2761 |
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+ | 0.44 | 37.0 | 10656 | 0.5816 | 0.2770 |
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+ | 0.4356 | 38.0 | 10944 | 0.5814 | 0.2784 |
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+ | 0.487 | 39.0 | 11232 | 0.5694 | 0.2834 |
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+ | 0.44 | 40.0 | 11520 | 0.5637 | 0.2747 |
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+ | 0.4151 | 41.0 | 11808 | 0.5683 | 0.2763 |
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+ | 0.4208 | 42.0 | 12096 | 0.5720 | 0.2732 |
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+ | 0.4354 | 43.0 | 12384 | 0.5657 | 0.2771 |
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+ | 0.4304 | 44.0 | 12672 | 0.5735 | 0.2724 |
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+ | 0.3991 | 45.0 | 12960 | 0.5638 | 0.2688 |
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+ | 0.4348 | 46.0 | 13248 | 0.5639 | 0.2699 |
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+ | 0.4291 | 47.0 | 13536 | 0.5577 | 0.2682 |
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+ | 0.4252 | 48.0 | 13824 | 0.5611 | 0.2680 |
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+ | 0.4253 | 49.0 | 14112 | 0.5621 | 0.2682 |
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+ | 0.4298 | 50.0 | 14400 | 0.5592 | 0.2671 |
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  ### Framework versions