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--- |
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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_singing6_ft_wav2vec2-large-xlsr-53-5gram-v4-2 |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# ai-light-dance_singing6_ft_wav2vec2-large-xlsr-53-5gram-v4-2 |
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This model is a fine-tuned version of [gary109/ai-light-dance_singing6_ft_wav2vec2-large-xlsr-53-5gram-v4-2](https://huggingface.co/gary109/ai-light-dance_singing6_ft_wav2vec2-large-xlsr-53-5gram-v4-2) on the GARY109/AI_LIGHT_DANCE - ONSET-SINGING6 dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.1731 |
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- Wer: 0.0949 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 4e-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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- 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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| 0.4688 | 1.0 | 171 | 0.1822 | 0.0986 | |
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| 0.4505 | 2.0 | 342 | 0.1822 | 0.0995 | |
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| 0.4418 | 3.0 | 513 | 0.1819 | 0.0996 | |
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| 0.4505 | 4.0 | 684 | 0.1842 | 0.1009 | |
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| 0.4403 | 5.0 | 855 | 0.1817 | 0.0983 | |
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| 0.4362 | 6.0 | 1026 | 0.1820 | 0.1001 | |
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| 0.4546 | 7.0 | 1197 | 0.1795 | 0.0979 | |
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| 0.4283 | 8.0 | 1368 | 0.1841 | 0.1004 | |
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| 0.4289 | 9.0 | 1539 | 0.1783 | 0.0970 | |
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| 0.445 | 10.0 | 1710 | 0.1785 | 0.0969 | |
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| 0.4483 | 11.0 | 1881 | 0.1781 | 0.0990 | |
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| 0.4319 | 12.0 | 2052 | 0.1811 | 0.0995 | |
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| 0.4175 | 13.0 | 2223 | 0.1781 | 0.0979 | |
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| 0.4298 | 14.0 | 2394 | 0.1761 | 0.0969 | |
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| 0.4511 | 15.0 | 2565 | 0.1741 | 0.0950 | |
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| 0.4287 | 16.0 | 2736 | 0.1771 | 0.0976 | |
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| 0.4417 | 17.0 | 2907 | 0.1780 | 0.0979 | |
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| 0.4257 | 18.0 | 3078 | 0.1762 | 0.0963 | |
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| 0.4588 | 19.0 | 3249 | 0.1750 | 0.0957 | |
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| 0.4439 | 20.0 | 3420 | 0.1758 | 0.0968 | |
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| 0.4515 | 21.0 | 3591 | 0.1782 | 0.0966 | |
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| 0.4311 | 22.0 | 3762 | 0.1774 | 0.0975 | |
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| 0.403 | 23.0 | 3933 | 0.1758 | 0.0963 | |
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| 0.4168 | 24.0 | 4104 | 0.1775 | 0.0972 | |
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| 0.425 | 25.0 | 4275 | 0.1742 | 0.0952 | |
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| 0.4493 | 26.0 | 4446 | 0.1749 | 0.0963 | |
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| 0.4232 | 27.0 | 4617 | 0.1749 | 0.0966 | |
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| 0.4331 | 28.0 | 4788 | 0.1754 | 0.0964 | |
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| 0.4306 | 29.0 | 4959 | 0.1756 | 0.0967 | |
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| 0.4261 | 30.0 | 5130 | 0.1753 | 0.0969 | |
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| 0.4284 | 31.0 | 5301 | 0.1749 | 0.0958 | |
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| 0.4322 | 32.0 | 5472 | 0.1748 | 0.0952 | |
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| 0.4225 | 33.0 | 5643 | 0.1747 | 0.0952 | |
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| 0.4179 | 34.0 | 5814 | 0.1749 | 0.0955 | |
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| 0.4264 | 35.0 | 5985 | 0.1757 | 0.0966 | |
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| 0.4217 | 36.0 | 6156 | 0.1753 | 0.0955 | |
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| 0.4556 | 37.0 | 6327 | 0.1749 | 0.0957 | |
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| 0.4181 | 38.0 | 6498 | 0.1756 | 0.0972 | |
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| 0.4286 | 39.0 | 6669 | 0.1747 | 0.0956 | |
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| 0.4427 | 40.0 | 6840 | 0.1747 | 0.0965 | |
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| 0.4292 | 41.0 | 7011 | 0.1742 | 0.0955 | |
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| 0.424 | 42.0 | 7182 | 0.1740 | 0.0952 | |
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| 0.4314 | 43.0 | 7353 | 0.1743 | 0.0963 | |
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| 0.4359 | 44.0 | 7524 | 0.1744 | 0.0952 | |
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| 0.4195 | 45.0 | 7695 | 0.1736 | 0.0949 | |
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| 0.4214 | 46.0 | 7866 | 0.1731 | 0.0949 | |
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| 0.4358 | 47.0 | 8037 | 0.1738 | 0.0952 | |
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| 0.4347 | 48.0 | 8208 | 0.1742 | 0.0956 | |
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| 0.4032 | 49.0 | 8379 | 0.1739 | 0.0956 | |
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| 0.441 | 50.0 | 8550 | 0.1737 | 0.0957 | |
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### Framework versions |
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- Transformers 4.21.0.dev0 |
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- Pytorch 1.9.1+cu102 |
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- Datasets 2.3.3.dev0 |
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- Tokenizers 0.12.1 |
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