metadata
tags:
- automatic-speech-recognition
- gary109/AI_Light_Dance
- generated_from_trainer
model-index:
- name: ai-light-dance_singing3_ft_pretrain2_wav2vec2-large-xlsr-53
results: []
ai-light-dance_singing3_ft_pretrain2_wav2vec2-large-xlsr-53
This model is a fine-tuned version of gary109/ai-light-dance_singing3_ft_pretrain2_wav2vec2-large-xlsr-53 on the GARY109/AI_LIGHT_DANCE - ONSET-SINGING3 dataset. It achieves the following results on the evaluation set:
- Loss: 2.4279
- Wer: 1.0087
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: 5e-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: 100.0
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 1.209 | 1.0 | 72 | 2.5599 | 0.9889 |
| 1.3395 | 2.0 | 144 | 2.7188 | 0.9877 |
| 1.2695 | 3.0 | 216 | 2.9989 | 0.9709 |
| 1.2818 | 4.0 | 288 | 3.2352 | 0.9757 |
| 1.2389 | 5.0 | 360 | 3.6867 | 0.9783 |
| 1.2368 | 6.0 | 432 | 3.3189 | 0.9811 |
| 1.2307 | 7.0 | 504 | 3.0786 | 0.9657 |
| 1.2607 | 8.0 | 576 | 2.9720 | 0.9677 |
| 1.2584 | 9.0 | 648 | 2.5613 | 0.9702 |
| 1.2266 | 10.0 | 720 | 2.6937 | 0.9610 |
| 1.262 | 11.0 | 792 | 3.9060 | 0.9745 |
| 1.2361 | 12.0 | 864 | 3.6138 | 0.9718 |
| 1.2348 | 13.0 | 936 | 3.4838 | 0.9745 |
| 1.2715 | 14.0 | 1008 | 3.3128 | 0.9751 |
| 1.2505 | 15.0 | 1080 | 3.2015 | 0.9710 |
| 1.211 | 16.0 | 1152 | 3.4709 | 0.9709 |
| 1.2067 | 17.0 | 1224 | 3.0566 | 0.9673 |
| 1.2536 | 18.0 | 1296 | 2.5479 | 0.9789 |
| 1.2297 | 19.0 | 1368 | 2.8307 | 0.9710 |
| 1.1949 | 20.0 | 1440 | 3.4112 | 0.9777 |
| 1.2181 | 21.0 | 1512 | 2.6784 | 0.9682 |
| 1.195 | 22.0 | 1584 | 3.0395 | 0.9639 |
| 1.2047 | 23.0 | 1656 | 3.1935 | 0.9726 |
| 1.2306 | 24.0 | 1728 | 3.2649 | 0.9723 |
| 1.199 | 25.0 | 1800 | 3.1378 | 0.9645 |
| 1.1945 | 26.0 | 1872 | 2.8143 | 0.9596 |
| 1.19 | 27.0 | 1944 | 3.5174 | 0.9787 |
| 1.1976 | 28.0 | 2016 | 2.9666 | 0.9594 |
| 1.2229 | 29.0 | 2088 | 2.8672 | 0.9589 |
| 1.1548 | 30.0 | 2160 | 2.6568 | 0.9627 |
| 1.169 | 31.0 | 2232 | 2.8799 | 0.9654 |
| 1.1857 | 32.0 | 2304 | 2.8691 | 0.9625 |
| 1.1862 | 33.0 | 2376 | 2.8251 | 0.9555 |
| 1.1721 | 34.0 | 2448 | 3.5968 | 0.9726 |
| 1.1293 | 35.0 | 2520 | 3.4130 | 0.9651 |
| 1.1513 | 36.0 | 2592 | 2.8804 | 0.9630 |
| 1.1537 | 37.0 | 2664 | 2.5824 | 0.9575 |
| 1.1818 | 38.0 | 2736 | 2.8443 | 0.9613 |
| 1.1835 | 39.0 | 2808 | 2.6431 | 0.9619 |
| 1.1457 | 40.0 | 2880 | 2.9254 | 0.9639 |
| 1.1591 | 41.0 | 2952 | 2.8194 | 0.9561 |
| 1.1284 | 42.0 | 3024 | 2.6432 | 0.9806 |
| 1.1602 | 43.0 | 3096 | 2.4279 | 1.0087 |
| 1.1556 | 44.0 | 3168 | 2.5040 | 1.0030 |
| 1.1256 | 45.0 | 3240 | 3.1641 | 0.9608 |
| 1.1256 | 46.0 | 3312 | 2.9522 | 0.9677 |
| 1.1211 | 47.0 | 3384 | 2.6318 | 0.9580 |
| 1.1142 | 48.0 | 3456 | 2.7298 | 0.9533 |
| 1.1237 | 49.0 | 3528 | 2.5442 | 0.9673 |
| 1.0976 | 50.0 | 3600 | 2.7767 | 0.9610 |
| 1.1154 | 51.0 | 3672 | 2.6849 | 0.9646 |
| 1.1012 | 52.0 | 3744 | 2.5384 | 0.9621 |
| 1.1077 | 53.0 | 3816 | 2.4505 | 1.0067 |
| 1.0936 | 54.0 | 3888 | 2.5847 | 0.9687 |
| 1.0772 | 55.0 | 3960 | 2.4575 | 0.9761 |
| 1.092 | 56.0 | 4032 | 2.4889 | 0.9802 |
| 1.0868 | 57.0 | 4104 | 2.5885 | 0.9664 |
| 1.0979 | 58.0 | 4176 | 2.6370 | 0.9607 |
| 1.094 | 59.0 | 4248 | 2.6195 | 0.9605 |
| 1.0745 | 60.0 | 4320 | 2.5346 | 0.9834 |
| 1.1057 | 61.0 | 4392 | 2.6879 | 0.9603 |
| 1.0722 | 62.0 | 4464 | 2.5426 | 0.9735 |
| 1.0731 | 63.0 | 4536 | 2.8259 | 0.9535 |
| 1.0862 | 64.0 | 4608 | 2.7632 | 0.9559 |
| 1.0396 | 65.0 | 4680 | 2.5401 | 0.9807 |
| 1.0581 | 66.0 | 4752 | 2.6977 | 0.9687 |
| 1.0647 | 67.0 | 4824 | 2.6968 | 0.9694 |
| 1.0549 | 68.0 | 4896 | 2.6439 | 0.9807 |
| 1.0607 | 69.0 | 4968 | 2.6822 | 0.9771 |
| 1.05 | 70.0 | 5040 | 2.7011 | 0.9607 |
| 1.042 | 71.0 | 5112 | 2.5766 | 0.9713 |
| 1.042 | 72.0 | 5184 | 2.5720 | 0.9747 |
| 1.0594 | 73.0 | 5256 | 2.7176 | 0.9704 |
| 1.0425 | 74.0 | 5328 | 2.7458 | 0.9614 |
| 1.0199 | 75.0 | 5400 | 2.5906 | 0.9987 |
| 1.0198 | 76.0 | 5472 | 2.5534 | 1.0087 |
| 1.0193 | 77.0 | 5544 | 2.5421 | 0.9933 |
| 1.0379 | 78.0 | 5616 | 2.5139 | 0.9994 |
| 1.025 | 79.0 | 5688 | 2.4850 | 1.0313 |
| 1.0054 | 80.0 | 5760 | 2.5803 | 0.9814 |
| 1.0218 | 81.0 | 5832 | 2.5696 | 0.9867 |
| 1.0177 | 82.0 | 5904 | 2.6011 | 1.0065 |
| 1.0094 | 83.0 | 5976 | 2.6166 | 0.9855 |
| 1.0202 | 84.0 | 6048 | 2.5557 | 1.0204 |
| 1.0148 | 85.0 | 6120 | 2.6118 | 1.0033 |
| 1.0117 | 86.0 | 6192 | 2.5671 | 1.0120 |
| 1.0195 | 87.0 | 6264 | 2.5443 | 1.0041 |
| 1.0114 | 88.0 | 6336 | 2.5627 | 1.0049 |
| 1.0074 | 89.0 | 6408 | 2.5670 | 1.0255 |
| 0.9883 | 90.0 | 6480 | 2.5338 | 1.0306 |
| 1.0112 | 91.0 | 6552 | 2.5615 | 1.0142 |
| 0.9986 | 92.0 | 6624 | 2.5566 | 1.0415 |
| 0.9939 | 93.0 | 6696 | 2.5728 | 1.0287 |
| 0.9954 | 94.0 | 6768 | 2.5617 | 1.0138 |
| 0.9643 | 95.0 | 6840 | 2.5890 | 1.0145 |
| 0.9892 | 96.0 | 6912 | 2.5918 | 1.0119 |
| 0.983 | 97.0 | 6984 | 2.5862 | 1.0175 |
| 0.988 | 98.0 | 7056 | 2.5873 | 1.0147 |
| 0.9908 | 99.0 | 7128 | 2.5973 | 1.0073 |
| 0.9696 | 100.0 | 7200 | 2.5938 | 1.0156 |
Framework versions
- Transformers 4.21.0.dev0
- Pytorch 1.9.1+cu102
- Datasets 2.3.3.dev0
- Tokenizers 0.12.1