---
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-v6
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# ai-light-dance_stepmania_ft_wav2vec2-large-xlsr-53-v6

This model is a fine-tuned version of [gary109/ai-light-dance_stepmania_ft_wav2vec2-large-xlsr-53-v5](https://huggingface.co/gary109/ai-light-dance_stepmania_ft_wav2vec2-large-xlsr-53-v5) on the GARY109/AI_LIGHT_DANCE - ONSET-STEPMANIA2 dataset.
It achieves the following results on the evaluation set:
- Loss: 1.0063
- Wer: 0.6580

## 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: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 100
- num_epochs: 10.0
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer    |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 0.8572        | 1.0   | 376  | 1.0508          | 0.6601 |
| 0.8671        | 2.0   | 752  | 1.0755          | 0.6581 |
| 0.8578        | 3.0   | 1128 | 1.0152          | 0.6787 |
| 0.8552        | 4.0   | 1504 | 1.0537          | 0.6557 |
| 0.8354        | 5.0   | 1880 | 1.0386          | 0.6606 |
| 0.8543        | 6.0   | 2256 | 1.0063          | 0.6580 |
| 0.8556        | 7.0   | 2632 | 1.0487          | 0.6499 |
| 0.8356        | 8.0   | 3008 | 1.0407          | 0.6549 |
| 0.8227        | 9.0   | 3384 | 1.0382          | 0.6506 |
| 0.8148        | 10.0  | 3760 | 1.0440          | 0.6500 |


### Framework versions

- Transformers 4.21.0.dev0
- Pytorch 1.11.0+cu113
- Datasets 2.3.3.dev0
- Tokenizers 0.12.1