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-v5
  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-v5

This model is a fine-tuned version of [gary109/ai-light-dance_stepmania_ft_wav2vec2-large-xlsr-53-v4](https://huggingface.co/gary109/ai-light-dance_stepmania_ft_wav2vec2-large-xlsr-53-v4) on the GARY109/AI_LIGHT_DANCE - ONSET-STEPMANIA2 dataset.
It achieves the following results on the evaluation set:
- Loss: 1.0163
- Wer: 0.6622

## 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: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 16
- 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    |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 0.8867        | 1.0   | 376  | 1.0382          | 0.6821 |
| 0.8861        | 2.0   | 752  | 1.0260          | 0.6686 |
| 0.8682        | 3.0   | 1128 | 1.0358          | 0.6604 |
| 0.8662        | 4.0   | 1504 | 1.0234          | 0.6665 |
| 0.8463        | 5.0   | 1880 | 1.0333          | 0.6666 |
| 0.8573        | 6.0   | 2256 | 1.0163          | 0.6622 |
| 0.8628        | 7.0   | 2632 | 1.0209          | 0.6551 |
| 0.8493        | 8.0   | 3008 | 1.0525          | 0.6582 |
| 0.8371        | 9.0   | 3384 | 1.0409          | 0.6515 |
| 0.8229        | 10.0  | 3760 | 1.0597          | 0.6523 |


### Framework versions

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