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# 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](https://huggingface.co/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

{"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": []}]}
transformers pytorch tensorboard wav2vec2 automatic-speech-recognition gary109/AI_Light_Dance generated_from_trainer endpoints_compatible region:us
TAGS
#transformers #pytorch #tensorboard #wav2vec2 #automatic-speech-recognition #gary109/AI_Light_Dance #generated_from_trainer #endpoints_compatible #region-us 

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



### Framework versions


* Transformers 4.21.0.dev0
* Pytorch 1.9.1+cu102
* Datasets 2.3.3.dev0
* Tokenizers 0.12.1



### 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 ### Framework versions


* Transformers 4.21.0.dev0
* Pytorch 1.9.1+cu102
* Datasets 2.3.3.dev0
* Tokenizers 0.12.1
TAGS
#transformers #pytorch #tensorboard #wav2vec2 #automatic-speech-recognition #gary109/AI_Light_Dance #generated_from_trainer #endpoints_compatible #region-us 
 ### 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 ### Framework versions


* Transformers 4.21.0.dev0
* Pytorch 1.9.1+cu102
* Datasets 2.3.3.dev0
* Tokenizers 0.12.1
passage: TAGS
#transformers #pytorch #tensorboard #wav2vec2 #automatic-speech-recognition #gary109/AI_Light_Dance #generated_from_trainer #endpoints_compatible #region-us 
### 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### Framework versions


* Transformers 4.21.0.dev0
* Pytorch 1.9.1+cu102
* Datasets 2.3.3.dev0
* Tokenizers 0.12.1