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---
tags:
- automatic-speech-recognition
- gary109/AI_Light_Dance
- generated_from_trainer
model-index:
- name: ai-light-dance_singing6_ft_wav2vec2-large-xlsr-53-5gram-v4-2
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# ai-light-dance_singing6_ft_wav2vec2-large-xlsr-53-5gram-v4-2
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.
It achieves the following results on the evaluation set:
- Loss: 0.1803
- Wer: 0.0981
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 4e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 100
- num_epochs: 50.0
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 0.6742 | 1.0 | 171 | 0.2202 | 0.1309 |
| 0.6303 | 2.0 | 342 | 0.2230 | 0.1305 |
| 0.6036 | 3.0 | 513 | 0.1992 | 0.1087 |
| 0.6224 | 4.0 | 684 | 0.2169 | 0.1221 |
| 0.5761 | 5.0 | 855 | 0.2380 | 0.1452 |
| 0.5694 | 6.0 | 1026 | 0.2175 | 0.1233 |
| 0.5753 | 7.0 | 1197 | 0.2028 | 0.1085 |
| 0.5503 | 8.0 | 1368 | 0.2122 | 0.1193 |
| 0.5322 | 9.0 | 1539 | 0.2042 | 0.1170 |
| 0.6088 | 10.0 | 1710 | 0.2084 | 0.1157 |
| 0.561 | 11.0 | 1881 | 0.2091 | 0.1137 |
| 0.5319 | 12.0 | 2052 | 0.1959 | 0.1091 |
| 0.5272 | 13.0 | 2223 | 0.2109 | 0.1176 |
| 0.5102 | 14.0 | 2394 | 0.2037 | 0.1131 |
| 0.5401 | 15.0 | 2565 | 0.2039 | 0.1151 |
| 0.5146 | 16.0 | 2736 | 0.2046 | 0.1132 |
| 0.5316 | 17.0 | 2907 | 0.2135 | 0.1197 |
| 0.5099 | 18.0 | 3078 | 0.2059 | 0.1109 |
| 0.5391 | 19.0 | 3249 | 0.2007 | 0.1118 |
| 0.5323 | 20.0 | 3420 | 0.1973 | 0.1049 |
| 0.5253 | 21.0 | 3591 | 0.1938 | 0.1058 |
| 0.5016 | 22.0 | 3762 | 0.2034 | 0.1126 |
| 0.4687 | 23.0 | 3933 | 0.2016 | 0.1127 |
| 0.4843 | 24.0 | 4104 | 0.2009 | 0.1119 |
| 0.4889 | 25.0 | 4275 | 0.1903 | 0.1025 |
| 0.5106 | 26.0 | 4446 | 0.1940 | 0.1072 |
| 0.4861 | 27.0 | 4617 | 0.1854 | 0.1012 |
| 0.4883 | 28.0 | 4788 | 0.1880 | 0.1018 |
| 0.4805 | 29.0 | 4959 | 0.1956 | 0.1052 |
| 0.4905 | 30.0 | 5130 | 0.1964 | 0.1055 |
| 0.4776 | 31.0 | 5301 | 0.1865 | 0.1000 |
| 0.496 | 32.0 | 5472 | 0.1900 | 0.1029 |
| 0.4634 | 33.0 | 5643 | 0.1886 | 0.1005 |
| 0.4596 | 34.0 | 5814 | 0.1858 | 0.1014 |
| 0.4709 | 35.0 | 5985 | 0.1877 | 0.1033 |
| 0.4576 | 36.0 | 6156 | 0.1910 | 0.1045 |
| 0.4928 | 37.0 | 6327 | 0.1835 | 0.1018 |
| 0.4585 | 38.0 | 6498 | 0.1857 | 0.0999 |
| 0.4613 | 39.0 | 6669 | 0.1874 | 0.1036 |
| 0.4759 | 40.0 | 6840 | 0.1858 | 0.1019 |
| 0.4681 | 41.0 | 7011 | 0.1830 | 0.0991 |
| 0.4603 | 42.0 | 7182 | 0.1869 | 0.1003 |
| 0.456 | 43.0 | 7353 | 0.1809 | 0.0980 |
| 0.4628 | 44.0 | 7524 | 0.1840 | 0.0996 |
| 0.4391 | 45.0 | 7695 | 0.1814 | 0.0960 |
| 0.4372 | 46.0 | 7866 | 0.1817 | 0.0976 |
| 0.4542 | 47.0 | 8037 | 0.1816 | 0.0994 |
| 0.4495 | 48.0 | 8208 | 0.1819 | 0.0988 |
| 0.4182 | 49.0 | 8379 | 0.1803 | 0.0981 |
| 0.454 | 50.0 | 8550 | 0.1803 | 0.0993 |
### Framework versions
- Transformers 4.21.0.dev0
- Pytorch 1.9.1+cu102
- Datasets 2.3.3.dev0
- Tokenizers 0.12.1
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