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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: 1.7919
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- - Wer: 0.9481
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  ## Model description
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@@ -36,12 +34,12 @@ 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: 5e-06
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  - train_batch_size: 8
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  - eval_batch_size: 8
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  - seed: 42
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- - gradient_accumulation_steps: 8
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- - total_train_batch_size: 64
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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: 100
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  | Training Loss | Epoch | Step | Validation Loss | Wer |
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  |:-------------:|:-----:|:----:|:---------------:|:------:|
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- | 3.4207 | 1.0 | 72 | 3.6825 | 1.0 |
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- | 3.3933 | 2.0 | 144 | 3.5318 | 1.0 |
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- | 3.264 | 3.0 | 216 | 3.4021 | 1.0 |
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- | 3.3299 | 4.0 | 288 | 3.3124 | 1.0 |
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- | 3.1372 | 5.0 | 360 | 3.2214 | 0.9999 |
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- | 3.0451 | 6.0 | 432 | 3.1454 | 0.9909 |
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- | 3.0388 | 7.0 | 504 | 3.0913 | 0.9852 |
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- | 3.0003 | 8.0 | 576 | 3.0518 | 0.9841 |
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- | 3.0065 | 9.0 | 648 | 3.0028 | 0.9836 |
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- | 2.5498 | 10.0 | 720 | 2.6486 | 1.0042 |
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- | 2.3491 | 11.0 | 792 | 2.4783 | 1.0078 |
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- | 2.2059 | 12.0 | 864 | 2.3413 | 1.0095 |
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- | 2.0924 | 13.0 | 936 | 2.2285 | 0.9996 |
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- | 2.0687 | 14.0 | 1008 | 2.1627 | 0.9647 |
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- | 1.9355 | 15.0 | 1080 | 2.0788 | 0.9537 |
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- | 1.81 | 16.0 | 1152 | 2.0223 | 0.9577 |
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- | 1.7844 | 17.0 | 1224 | 1.9904 | 0.9763 |
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- | 1.7869 | 18.0 | 1296 | 1.9460 | 0.9537 |
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- | 1.7988 | 19.0 | 1368 | 1.9028 | 0.9670 |
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- | 1.7244 | 20.0 | 1440 | 1.8952 | 0.9432 |
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- | 1.6821 | 21.0 | 1512 | 1.8738 | 0.9535 |
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- | 1.6702 | 22.0 | 1584 | 1.8537 | 0.9582 |
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- | 1.6689 | 23.0 | 1656 | 1.8401 | 0.9476 |
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- | 1.6919 | 24.0 | 1728 | 1.8320 | 0.9409 |
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- | 1.643 | 25.0 | 1800 | 1.8122 | 0.9478 |
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- | 1.6337 | 26.0 | 1872 | 1.8119 | 0.9489 |
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- | 1.6208 | 27.0 | 1944 | 1.7973 | 0.9441 |
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- | 1.6263 | 28.0 | 2016 | 1.7990 | 0.9546 |
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- | 1.6739 | 29.0 | 2088 | 1.8000 | 0.9538 |
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- | 1.6262 | 30.0 | 2160 | 1.7919 | 0.9481 |
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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: 1.4516
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+ - Wer: 0.9094
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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: 2.5e-06
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  - train_batch_size: 8
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  - eval_batch_size: 8
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  - seed: 42
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+ - gradient_accumulation_steps: 2
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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: 100
 
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  | Training Loss | Epoch | Step | Validation Loss | Wer |
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  |:-------------:|:-----:|:----:|:---------------:|:------:|
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+ | 1.5782 | 1.0 | 289 | 1.7392 | 0.9268 |
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+ | 1.516 | 2.0 | 578 | 1.8778 | 0.9967 |
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+ | 1.4542 | 3.0 | 867 | 1.7856 | 0.9860 |
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+ | 1.4359 | 4.0 | 1156 | 1.6145 | 0.9181 |
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+ | 1.416 | 5.0 | 1445 | 1.6474 | 0.9514 |
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+ | 1.3953 | 6.0 | 1734 | 1.7028 | 0.9767 |
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+ | 1.361 | 7.0 | 2023 | 1.5753 | 0.9281 |
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+ | 1.3778 | 8.0 | 2312 | 1.5564 | 0.9580 |
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+ | 1.3472 | 9.0 | 2601 | 1.5750 | 0.9479 |
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+ | 1.3454 | 10.0 | 2890 | 1.5264 | 0.9274 |
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+ | 1.2984 | 11.0 | 3179 | 1.5087 | 0.9263 |
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+ | 1.2852 | 12.0 | 3468 | 1.5042 | 0.9252 |
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+ | 1.2744 | 13.0 | 3757 | 1.4865 | 0.9207 |
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+ | 1.2874 | 14.0 | 4046 | 1.4923 | 0.9224 |
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+ | 1.2698 | 15.0 | 4335 | 1.5070 | 0.9270 |
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+ | 1.2661 | 16.0 | 4624 | 1.4819 | 0.9218 |
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+ | 1.2572 | 17.0 | 4913 | 1.5565 | 0.9495 |
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+ | 1.256 | 18.0 | 5202 | 1.4995 | 0.9071 |
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+ | 1.216 | 19.0 | 5491 | 1.5129 | 0.9274 |
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+ | 1.286 | 20.0 | 5780 | 1.4750 | 0.9203 |
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+ | 1.2328 | 21.0 | 6069 | 1.4861 | 0.9267 |
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+ | 1.2085 | 22.0 | 6358 | 1.4780 | 0.9109 |
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+ | 1.2207 | 23.0 | 6647 | 1.4626 | 0.9130 |
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+ | 1.1843 | 24.0 | 6936 | 1.4453 | 0.9067 |
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+ | 1.2232 | 25.0 | 7225 | 1.4827 | 0.9186 |
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+ | 1.232 | 26.0 | 7514 | 1.4358 | 0.8973 |
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+ | 1.1891 | 27.0 | 7803 | 1.4377 | 0.8954 |
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+ | 1.1856 | 28.0 | 8092 | 1.4420 | 0.9022 |
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+ | 1.219 | 29.0 | 8381 | 1.4593 | 0.9101 |
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+ | 1.2075 | 30.0 | 8670 | 1.4516 | 0.9094 |
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  ### Framework versions