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# ai-light-dance_singing_ft_wav2vec2-large-lv60

This model is a fine-tuned version of [facebook/wav2vec2-large-lv60](https://huggingface.co/facebook/wav2vec2-large-lv60) on the AI_LIGHT_DANCE.PY - ONSET-SINGING dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4542
- Wer: 0.2088

## 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: 3e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 10.0
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Wer    |
|:-------------:|:-----:|:-----:|:---------------:|:------:|
| 0.7432        | 1.0   | 4422  | 0.8939          | 0.6323 |
| 0.5484        | 2.0   | 8844  | 0.6393          | 0.3557 |
| 0.3919        | 3.0   | 13266 | 0.5315          | 0.2833 |
| 0.421         | 4.0   | 17688 | 0.5234          | 0.2522 |
| 0.3957        | 5.0   | 22110 | 0.5125          | 0.2247 |
| 0.3228        | 6.0   | 26532 | 0.4542          | 0.2088 |
| 0.346         | 7.0   | 30954 | 0.4673          | 0.1997 |
| 0.1637        | 8.0   | 35376 | 0.4583          | 0.1910 |
| 0.1508        | 9.0   | 39798 | 0.4623          | 0.1837 |
| 0.1564        | 10.0  | 44220 | 0.4717          | 0.1835 |


### Framework versions

- Transformers 4.20.0.dev0
- Pytorch 1.11.0+cu113
- Datasets 2.2.2.dev0
- Tokenizers 0.12.1

{"license": "apache-2.0", "tags": ["automatic-speech-recognition", "AI_Light_Dance.py", "generated_from_trainer"], "datasets": ["ai_light_dance"], "model-index": [{"name": "ai-light-dance_singing_ft_wav2vec2-large-lv60", "results": []}]}
transformers pytorch tensorboard wav2vec2 automatic-speech-recognition AI_Light_Dance.py generated_from_trainer dataset:ai_light_dance license:apache-2.0 endpoints_compatible region:us
TAGS
#transformers #pytorch #tensorboard #wav2vec2 #automatic-speech-recognition #AI_Light_Dance.py #generated_from_trainer #dataset-ai_light_dance #license-apache-2.0 #endpoints_compatible #region-us 

ai-light-dance\_singing\_ft\_wav2vec2-large-lv60
================================================


This model is a fine-tuned version of facebook/wav2vec2-large-lv60 on the AI\_LIGHT\_DANCE.PY - ONSET-SINGING dataset.
It achieves the following results on the evaluation set:


* Loss: 0.4542
* Wer: 0.2088


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: 3e-05
* train\_batch\_size: 4
* eval\_batch\_size: 4
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* lr\_scheduler\_warmup\_steps: 500
* num\_epochs: 10.0
* mixed\_precision\_training: Native AMP


### Training results



### Framework versions


* Transformers 4.20.0.dev0
* Pytorch 1.11.0+cu113
* Datasets 2.2.2.dev0
* Tokenizers 0.12.1



### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 3e-05
* train\_batch\_size: 4
* eval\_batch\_size: 4
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* lr\_scheduler\_warmup\_steps: 500
* num\_epochs: 10.0
* mixed\_precision\_training: Native AMP ### Training results ### Framework versions


* Transformers 4.20.0.dev0
* Pytorch 1.11.0+cu113
* Datasets 2.2.2.dev0
* Tokenizers 0.12.1
TAGS
#transformers #pytorch #tensorboard #wav2vec2 #automatic-speech-recognition #AI_Light_Dance.py #generated_from_trainer #dataset-ai_light_dance #license-apache-2.0 #endpoints_compatible #region-us 
 ### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 3e-05
* train\_batch\_size: 4
* eval\_batch\_size: 4
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* lr\_scheduler\_warmup\_steps: 500
* num\_epochs: 10.0
* mixed\_precision\_training: Native AMP ### Training results ### Framework versions


* Transformers 4.20.0.dev0
* Pytorch 1.11.0+cu113
* Datasets 2.2.2.dev0
* Tokenizers 0.12.1
passage: TAGS
#transformers #pytorch #tensorboard #wav2vec2 #automatic-speech-recognition #AI_Light_Dance.py #generated_from_trainer #dataset-ai_light_dance #license-apache-2.0 #endpoints_compatible #region-us 
### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 3e-05
* train\_batch\_size: 4
* eval\_batch\_size: 4
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* lr\_scheduler\_warmup\_steps: 500
* num\_epochs: 10.0
* mixed\_precision\_training: Native AMP### Training results### Framework versions


* Transformers 4.20.0.dev0
* Pytorch 1.11.0+cu113
* Datasets 2.2.2.dev0
* Tokenizers 0.12.1