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

This model is a fine-tuned version of [facebook/wav2vec2-large-xlsr-53](https://huggingface.co/facebook/wav2vec2-large-xlsr-53) on the /WORKSPACE/ASANTE/AI-LIGHT-DANCE_DATASETS/AI_LIGHT_DANCE.PY - ONSET-SINGING2 dataset.
It achieves the following results on the evaluation set:
- Loss: 1.7583
- Wer: 0.9386

## 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-06
- 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: 30.0
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer    |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 27.4755       | 1.0   | 112  | 23.2618         | 1.0    |
| 5.5145        | 2.0   | 224  | 5.2213          | 1.0    |
| 4.2211        | 3.0   | 336  | 4.1673          | 1.0    |
| 3.8386        | 4.0   | 448  | 3.8253          | 1.0    |
| 3.5531        | 5.0   | 560  | 3.6286          | 1.0    |
| 3.5215        | 6.0   | 672  | 3.4762          | 0.9864 |
| 3.3493        | 7.0   | 784  | 3.3549          | 0.9847 |
| 3.1264        | 8.0   | 896  | 3.1797          | 0.9759 |
| 2.7557        | 9.0   | 1008 | 2.8703          | 0.9865 |
| 2.6345        | 10.0  | 1120 | 2.6736          | 0.9970 |
| 2.4297        | 11.0  | 1232 | 2.5638          | 1.0337 |
| 2.3057        | 12.0  | 1344 | 2.3680          | 0.9839 |
| 2.1436        | 13.0  | 1456 | 2.2367          | 0.9648 |
| 2.0856        | 14.0  | 1568 | 2.1635          | 0.9586 |
| 2.0035        | 15.0  | 1680 | 2.0945          | 0.9645 |
| 1.9134        | 16.0  | 1792 | 2.0395          | 0.9630 |
| 1.9443        | 17.0  | 1904 | 2.0017          | 0.9401 |
| 1.8988        | 18.0  | 2016 | 1.9514          | 0.9493 |
| 1.8141        | 19.0  | 2128 | 1.9111          | 0.9475 |
| 1.8344        | 20.0  | 2240 | 1.8790          | 0.9395 |
| 1.7775        | 21.0  | 2352 | 1.8616          | 0.9503 |
| 1.7517        | 22.0  | 2464 | 1.8333          | 0.9433 |
| 1.7037        | 23.0  | 2576 | 1.8156          | 0.9372 |
| 1.7158        | 24.0  | 2688 | 1.7961          | 0.9482 |
| 1.7111        | 25.0  | 2800 | 1.7817          | 0.9422 |
| 1.69          | 26.0  | 2912 | 1.7819          | 0.9430 |
| 1.6889        | 27.0  | 3024 | 1.7721          | 0.9386 |
| 1.6546        | 28.0  | 3136 | 1.7647          | 0.9453 |
| 1.6542        | 29.0  | 3248 | 1.7653          | 0.9375 |
| 1.647         | 30.0  | 3360 | 1.7583          | 0.9386 |


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

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


This model is a fine-tuned version of facebook/wav2vec2-large-xlsr-53 on the /WORKSPACE/ASANTE/AI-LIGHT-DANCE\_DATASETS/AI\_LIGHT\_DANCE.PY - ONSET-SINGING2 dataset.
It achieves the following results on the evaluation set:


* Loss: 1.7583
* Wer: 0.9386


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-06
* 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: 30.0
* 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-06
* 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: 30.0
* 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 #/workspace/asante/ai-light-dance_datasets/AI_Light_Dance.py #generated_from_trainer #license-apache-2.0 #endpoints_compatible #region-us 
 ### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 4e-06
* 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: 30.0
* 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 #/workspace/asante/ai-light-dance_datasets/AI_Light_Dance.py #generated_from_trainer #license-apache-2.0 #endpoints_compatible #region-us 
### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 4e-06
* 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: 30.0
* 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