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# ai-light-dance_chord_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 GARY109/AI_LIGHT_DANCE - ONSET-CHORD2 dataset.
It achieves the following results on the evaluation set:
- Loss: 1.8722
- Wer: 0.9590

## 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: 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: 50.0
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer    |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 5.1857        | 1.0   | 126  | 4.5913          | 1.0    |
| 3.0939        | 2.0   | 252  | 3.0160          | 1.0    |
| 2.8403        | 3.0   | 378  | 2.7337          | 1.0    |
| 2.2525        | 4.0   | 504  | 2.5588          | 0.9825 |
| 2.0291        | 5.0   | 630  | 2.5216          | 0.9701 |
| 1.9083        | 6.0   | 756  | 2.3990          | 0.9514 |
| 1.8745        | 7.0   | 882  | 2.2781          | 0.9474 |
| 1.8222        | 8.0   | 1008 | 2.2360          | 0.9471 |
| 1.7871        | 9.0   | 1134 | 2.1960          | 0.9463 |
| 1.7225        | 10.0  | 1260 | 2.0775          | 0.9464 |
| 1.6856        | 11.0  | 1386 | 2.0817          | 0.9518 |
| 1.6903        | 12.0  | 1512 | 2.0607          | 0.9534 |
| 1.6034        | 13.0  | 1638 | 1.9956          | 0.9504 |
| 1.6171        | 14.0  | 1764 | 2.0099          | 0.9490 |
| 1.5508        | 15.0  | 1890 | 2.0424          | 0.9591 |
| 1.539         | 16.0  | 2016 | 1.9728          | 0.9600 |
| 1.5176        | 17.0  | 2142 | 2.0421          | 0.9628 |
| 1.5088        | 18.0  | 2268 | 1.9428          | 0.9598 |
| 1.4739        | 19.0  | 2394 | 1.9886          | 0.9591 |
| 1.4228        | 20.0  | 2520 | 2.0164          | 0.9670 |
| 1.4277        | 21.0  | 2646 | 1.9968          | 0.9704 |
| 1.3834        | 22.0  | 2772 | 1.9882          | 0.9669 |
| 1.3768        | 23.0  | 2898 | 1.9519          | 0.9606 |
| 1.3747        | 24.0  | 3024 | 1.8923          | 0.9580 |
| 1.3533        | 25.0  | 3150 | 1.9767          | 0.9707 |
| 1.3312        | 26.0  | 3276 | 1.8993          | 0.9609 |
| 1.2743        | 27.0  | 3402 | 1.9494          | 0.9705 |
| 1.2924        | 28.0  | 3528 | 1.9019          | 0.9631 |
| 1.2621        | 29.0  | 3654 | 1.9110          | 0.9596 |
| 1.2387        | 30.0  | 3780 | 1.9118          | 0.9627 |
| 1.228         | 31.0  | 3906 | 1.8722          | 0.9590 |
| 1.1938        | 32.0  | 4032 | 1.8890          | 0.9599 |
| 1.1887        | 33.0  | 4158 | 1.9175          | 0.9653 |
| 1.1807        | 34.0  | 4284 | 1.8983          | 0.9649 |
| 1.1553        | 35.0  | 4410 | 1.9246          | 0.9703 |
| 1.1448        | 36.0  | 4536 | 1.9248          | 0.9705 |
| 1.1146        | 37.0  | 4662 | 1.9747          | 0.9804 |
| 1.1394        | 38.0  | 4788 | 1.9119          | 0.9723 |
| 1.1206        | 39.0  | 4914 | 1.8931          | 0.9630 |
| 1.0892        | 40.0  | 5040 | 1.9243          | 0.9668 |
| 1.104         | 41.0  | 5166 | 1.8965          | 0.9671 |
| 1.054         | 42.0  | 5292 | 1.9477          | 0.9755 |
| 1.0922        | 43.0  | 5418 | 1.8969          | 0.9699 |
| 1.0484        | 44.0  | 5544 | 1.9423          | 0.9733 |
| 1.0567        | 45.0  | 5670 | 1.9412          | 0.9745 |
| 1.0615        | 46.0  | 5796 | 1.9076          | 0.9674 |
| 1.0201        | 47.0  | 5922 | 1.9384          | 0.9743 |
| 1.0664        | 48.0  | 6048 | 1.9509          | 0.9816 |
| 1.0498        | 49.0  | 6174 | 1.9426          | 0.9757 |
| 1.0303        | 50.0  | 6300 | 1.9477          | 0.9781 |


### 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_chord_ft_wav2vec2-large-xlsr-53", "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\_chord\_ft\_wav2vec2-large-xlsr-53
=================================================


This model is a fine-tuned version of facebook/wav2vec2-large-xlsr-53 on the GARY109/AI\_LIGHT\_DANCE - ONSET-CHORD2 dataset.
It achieves the following results on the evaluation set:


* Loss: 1.8722
* Wer: 0.9590


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: 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: 50.0
* 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: 3e-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: 50.0
* 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: 3e-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: 50.0
* 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: 3e-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: 50.0
* 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