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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_singing4_ft_wav2vec2-large-xlsr-53-5gram-v4-2](https://huggingface.co/gary109/ai-light-dance_singing4_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: 0.1803 |
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- Wer: 0.0981 |
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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-05 |
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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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| 0.6742 | 1.0 | 171 | 0.2202 | 0.1309 | |
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| 0.6303 | 2.0 | 342 | 0.2230 | 0.1305 | |
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| 0.6036 | 3.0 | 513 | 0.1992 | 0.1087 | |
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| 0.6224 | 4.0 | 684 | 0.2169 | 0.1221 | |
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| 0.5761 | 5.0 | 855 | 0.2380 | 0.1452 | |
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| 0.5694 | 6.0 | 1026 | 0.2175 | 0.1233 | |
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| 0.5753 | 7.0 | 1197 | 0.2028 | 0.1085 | |
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| 0.5503 | 8.0 | 1368 | 0.2122 | 0.1193 | |
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| 0.5322 | 9.0 | 1539 | 0.2042 | 0.1170 | |
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| 0.6088 | 10.0 | 1710 | 0.2084 | 0.1157 | |
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| 0.561 | 11.0 | 1881 | 0.2091 | 0.1137 | |
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| 0.5319 | 12.0 | 2052 | 0.1959 | 0.1091 | |
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| 0.5272 | 13.0 | 2223 | 0.2109 | 0.1176 | |
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| 0.5102 | 14.0 | 2394 | 0.2037 | 0.1131 | |
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| 0.5401 | 15.0 | 2565 | 0.2039 | 0.1151 | |
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| 0.5146 | 16.0 | 2736 | 0.2046 | 0.1132 | |
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| 0.5316 | 17.0 | 2907 | 0.2135 | 0.1197 | |
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| 0.5099 | 18.0 | 3078 | 0.2059 | 0.1109 | |
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| 0.5391 | 19.0 | 3249 | 0.2007 | 0.1118 | |
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| 0.5323 | 20.0 | 3420 | 0.1973 | 0.1049 | |
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| 0.5253 | 21.0 | 3591 | 0.1938 | 0.1058 | |
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| 0.5016 | 22.0 | 3762 | 0.2034 | 0.1126 | |
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| 0.4687 | 23.0 | 3933 | 0.2016 | 0.1127 | |
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| 0.4843 | 24.0 | 4104 | 0.2009 | 0.1119 | |
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| 0.4889 | 25.0 | 4275 | 0.1903 | 0.1025 | |
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| 0.5106 | 26.0 | 4446 | 0.1940 | 0.1072 | |
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| 0.4861 | 27.0 | 4617 | 0.1854 | 0.1012 | |
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| 0.4883 | 28.0 | 4788 | 0.1880 | 0.1018 | |
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| 0.4805 | 29.0 | 4959 | 0.1956 | 0.1052 | |
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| 0.4905 | 30.0 | 5130 | 0.1964 | 0.1055 | |
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| 0.4776 | 31.0 | 5301 | 0.1865 | 0.1000 | |
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| 0.496 | 32.0 | 5472 | 0.1900 | 0.1029 | |
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| 0.4634 | 33.0 | 5643 | 0.1886 | 0.1005 | |
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| 0.4596 | 34.0 | 5814 | 0.1858 | 0.1014 | |
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| 0.4709 | 35.0 | 5985 | 0.1877 | 0.1033 | |
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| 0.4576 | 36.0 | 6156 | 0.1910 | 0.1045 | |
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| 0.4928 | 37.0 | 6327 | 0.1835 | 0.1018 | |
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| 0.4585 | 38.0 | 6498 | 0.1857 | 0.0999 | |
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| 0.4613 | 39.0 | 6669 | 0.1874 | 0.1036 | |
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| 0.4759 | 40.0 | 6840 | 0.1858 | 0.1019 | |
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| 0.4681 | 41.0 | 7011 | 0.1830 | 0.0991 | |
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| 0.4603 | 42.0 | 7182 | 0.1869 | 0.1003 | |
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| 0.456 | 43.0 | 7353 | 0.1809 | 0.0980 | |
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| 0.4628 | 44.0 | 7524 | 0.1840 | 0.0996 | |
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| 0.4391 | 45.0 | 7695 | 0.1814 | 0.0960 | |
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| 0.4372 | 46.0 | 7866 | 0.1817 | 0.0976 | |
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| 0.4542 | 47.0 | 8037 | 0.1816 | 0.0994 | |
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| 0.4495 | 48.0 | 8208 | 0.1819 | 0.0988 | |
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| 0.4182 | 49.0 | 8379 | 0.1803 | 0.0981 | |
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| 0.454 | 50.0 | 8550 | 0.1803 | 0.0993 | |
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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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