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# ai-light-dance_singing2_ft_wav2vec2-large-xlsr-53-v1

This model is a fine-tuned version of [gary109/ai-light-dance_singing2_ft_wav2vec2-large-xlsr-53](https://huggingface.co/gary109/ai-light-dance_singing2_ft_wav2vec2-large-xlsr-53) on the GARY109/AI_LIGHT_DANCE - ONSET-SINGING2 dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5760
- Wer: 0.2905

## 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: 10
- eval_batch_size: 10
- seed: 42
- gradient_accumulation_steps: 16
- total_train_batch_size: 160
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 100
- num_epochs: 40.0
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer    |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 1.656         | 1.0   | 112  | 1.7625          | 0.9265 |
| 1.3693        | 2.0   | 224  | 1.5135          | 0.9243 |
| 1.2172        | 3.0   | 336  | 1.2657          | 0.8533 |
| 1.0456        | 4.0   | 448  | 1.0893          | 0.7691 |
| 0.9385        | 5.0   | 560  | 1.0110          | 0.7097 |
| 0.8165        | 6.0   | 672  | 0.9243          | 0.6682 |
| 0.7491        | 7.0   | 784  | 0.8948          | 0.6583 |
| 0.6772        | 8.0   | 896  | 0.7894          | 0.6007 |
| 0.6096        | 9.0   | 1008 | 0.7684          | 0.5663 |
| 0.5714        | 10.0  | 1120 | 0.6978          | 0.4826 |
| 0.5213        | 11.0  | 1232 | 0.8433          | 0.4927 |
| 0.4624        | 12.0  | 1344 | 0.6695          | 0.4469 |
| 0.4298        | 13.0  | 1456 | 0.6569          | 0.3868 |
| 0.3939        | 14.0  | 1568 | 0.6633          | 0.3694 |
| 0.3803        | 15.0  | 1680 | 0.6376          | 0.3920 |
| 0.3415        | 16.0  | 1792 | 0.6463          | 0.3414 |
| 0.3239        | 17.0  | 1904 | 0.5841          | 0.3197 |
| 0.2946        | 18.0  | 2016 | 0.5948          | 0.3112 |
| 0.2751        | 19.0  | 2128 | 0.5760          | 0.2905 |
| 0.2834        | 20.0  | 2240 | 0.5884          | 0.2975 |
| 0.2383        | 21.0  | 2352 | 0.5989          | 0.2775 |
| 0.2265        | 22.0  | 2464 | 0.6151          | 0.2853 |
| 0.2158        | 23.0  | 2576 | 0.5843          | 0.2670 |
| 0.2015        | 24.0  | 2688 | 0.6621          | 0.2738 |
| 0.215         | 25.0  | 2800 | 0.6068          | 0.2652 |
| 0.1859        | 26.0  | 2912 | 0.6136          | 0.2570 |
| 0.1745        | 27.0  | 3024 | 0.6191          | 0.2624 |
| 0.1611        | 28.0  | 3136 | 0.6364          | 0.2578 |
| 0.1513        | 29.0  | 3248 | 0.6402          | 0.2535 |
| 0.172         | 30.0  | 3360 | 0.6330          | 0.2500 |
| 0.1488        | 31.0  | 3472 | 0.6275          | 0.2521 |
| 0.1371        | 32.0  | 3584 | 0.6539          | 0.2540 |
| 0.1356        | 33.0  | 3696 | 0.6544          | 0.2491 |
| 0.1319        | 34.0  | 3808 | 0.6545          | 0.2491 |
| 0.1465        | 35.0  | 3920 | 0.6573          | 0.2495 |
| 0.13          | 36.0  | 4032 | 0.6594          | 0.2494 |
| 0.1244        | 37.0  | 4144 | 0.6651          | 0.2476 |
| 0.1228        | 38.0  | 4256 | 0.6754          | 0.2497 |
| 0.1181        | 39.0  | 4368 | 0.6684          | 0.2468 |
| 0.1338        | 40.0  | 4480 | 0.6713          | 0.2471 |


### Framework versions

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

{"license": "apache-2.0", "tags": ["automatic-speech-recognition", "gary109/AI_Light_Dance", "generated_from_trainer"], "model-index": [{"name": "ai-light-dance_singing2_ft_wav2vec2-large-xlsr-53-v1", "results": []}]}
transformers pytorch tensorboard wav2vec2 automatic-speech-recognition gary109/AI_Light_Dance generated_from_trainer license:apache-2.0 endpoints_compatible region:us
TAGS
#transformers #pytorch #tensorboard #wav2vec2 #automatic-speech-recognition #gary109/AI_Light_Dance #generated_from_trainer #license-apache-2.0 #endpoints_compatible #region-us 

ai-light-dance\_singing2\_ft\_wav2vec2-large-xlsr-53-v1
=======================================================


This model is a fine-tuned version of gary109/ai-light-dance\_singing2\_ft\_wav2vec2-large-xlsr-53 on the GARY109/AI\_LIGHT\_DANCE - ONSET-SINGING2 dataset.
It achieves the following results on the evaluation set:


* Loss: 0.5760
* Wer: 0.2905


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: 10
* eval\_batch\_size: 10
* seed: 42
* gradient\_accumulation\_steps: 16
* total\_train\_batch\_size: 160
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* lr\_scheduler\_warmup\_steps: 100
* num\_epochs: 40.0
* 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: 4e-05
* train\_batch\_size: 10
* eval\_batch\_size: 10
* seed: 42
* gradient\_accumulation\_steps: 16
* total\_train\_batch\_size: 160
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* lr\_scheduler\_warmup\_steps: 100
* num\_epochs: 40.0
* 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 #license-apache-2.0 #endpoints_compatible #region-us 
 ### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 4e-05
* train\_batch\_size: 10
* eval\_batch\_size: 10
* seed: 42
* gradient\_accumulation\_steps: 16
* total\_train\_batch\_size: 160
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* lr\_scheduler\_warmup\_steps: 100
* num\_epochs: 40.0
* 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 #license-apache-2.0 #endpoints_compatible #region-us 
### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 4e-05
* train\_batch\_size: 10
* eval\_batch\_size: 10
* seed: 42
* gradient\_accumulation\_steps: 16
* total\_train\_batch\_size: 160
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* lr\_scheduler\_warmup\_steps: 100
* num\_epochs: 40.0
* 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