---
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-v3
  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-v3

This model is a fine-tuned version of [gary109/ai-light-dance_stepmania_ft_wav2vec2-large-xlsr-53-v2](https://huggingface.co/gary109/ai-light-dance_stepmania_ft_wav2vec2-large-xlsr-53-v2) on the GARY109/AI_LIGHT_DANCE - ONSET-STEPMANIA2 dataset.
It achieves the following results on the evaluation set:
- Loss: 1.0734
- Wer: 0.6928

## 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: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 16
- total_train_batch_size: 128
- 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    |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 0.9189        | 1.0   | 188  | 1.0770          | 0.7002 |
| 0.9172        | 2.0   | 376  | 1.0780          | 0.6955 |
| 0.9177        | 3.0   | 564  | 1.0824          | 0.6916 |
| 0.9184        | 4.0   | 752  | 1.0734          | 0.6928 |
| 0.9072        | 5.0   | 940  | 1.0841          | 0.6897 |
| 0.9089        | 6.0   | 1128 | 1.0788          | 0.6870 |
| 0.9174        | 7.0   | 1316 | 1.0761          | 0.6856 |
| 0.9072        | 8.0   | 1504 | 1.0776          | 0.6850 |
| 0.9079        | 9.0   | 1692 | 1.0795          | 0.6852 |
| 0.9016        | 10.0  | 1880 | 1.0817          | 0.6850 |


### Framework versions

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