pytorch tensorboard wav2vec2 automatic-speech-recognition transformers gary109/AI_Light_Dance generated_from_trainer license:apache-2.0 model-index
---
license: apache-2.0
tags:
- automatic-speech-recognition
- gary109/AI_Light_Dance
- generated_from_trainer
model-index:
- name: ai-light-dance_stepmania_ft_wav2vec2-large-xlsr-53-v7
  results: []
---

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# ai-light-dance_stepmania_ft_wav2vec2-large-xlsr-53-v7

This model is a fine-tuned version of [gary109/ai-light-dance_stepmania_ft_wav2vec2-large-xlsr-53-v6](https://huggingface.co/gary109/ai-light-dance_stepmania_ft_wav2vec2-large-xlsr-53-v6) on the GARY109/AI_LIGHT_DANCE - ONSET-STEPMANIA2 dataset.
It achieves the following results on the evaluation set:
- Loss: 1.0424
- Wer: 0.6512

## 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: 2
- eval_batch_size: 2
- seed: 42
- 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    |
|:-------------:|:-----:|:------:|:---------------:|:------:|
| 0.9303        | 1.0   | 12031  | 1.1160          | 0.6712 |
| 0.8181        | 2.0   | 24062  | 1.0601          | 0.6608 |
| 0.7861        | 3.0   | 36093  | 1.0478          | 0.6520 |
| 0.767         | 4.0   | 48124  | 1.0617          | 0.6526 |
| 0.797         | 5.0   | 60155  | 1.0424          | 0.6512 |
| 0.834         | 6.0   | 72186  | 1.0519          | 0.6542 |
| 0.7915        | 7.0   | 84217  | 1.0508          | 0.6494 |
| 0.8106        | 8.0   | 96248  | 1.0753          | 0.6449 |
| 0.7512        | 9.0   | 108279 | 1.1223          | 0.6592 |
| 0.777         | 10.0  | 120310 | 1.1201          | 0.6535 |
| 0.7631        | 11.0  | 132341 | 1.0780          | 0.6512 |
| 0.7465        | 12.0  | 144372 | 1.0822          | 0.6499 |
| 0.826         | 13.0  | 156403 | 1.0706          | 0.6445 |
| 0.7552        | 14.0  | 168434 | 1.0862          | 0.6449 |
| 0.8279        | 15.0  | 180465 | 1.1162          | 0.6461 |
| 0.7769        | 16.0  | 192496 | 1.1023          | 0.6420 |
| 0.7918        | 17.0  | 204527 | 1.1085          | 0.6456 |
| 0.6941        | 18.0  | 216558 | 1.1139          | 0.6417 |
| 0.7379        | 19.0  | 228589 | 1.1126          | 0.6410 |
| 0.7467        | 20.0  | 240620 | 1.1102          | 0.6369 |
| 0.8045        | 21.0  | 252651 | 1.1191          | 0.6376 |
| 0.7059        | 22.0  | 264682 | 1.1285          | 0.6381 |
| 0.7008        | 23.0  | 276713 | 1.1328          | 0.6377 |
| 0.7816        | 24.0  | 288744 | 1.1326          | 0.6366 |
| 0.7426        | 25.0  | 300775 | 1.1420          | 0.6362 |
| 0.7226        | 26.0  | 312806 | 1.1326          | 0.6350 |
| 0.665         | 27.0  | 324837 | 1.1419          | 0.6346 |
| 0.7184        | 28.0  | 336868 | 1.1480          | 0.6346 |
| 0.77          | 29.0  | 348899 | 1.1476          | 0.6343 |
| 0.727         | 30.0  | 360930 | 1.1494          | 0.6348 |


### Framework versions

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