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-v4
  results: []
---

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# ai-light-dance_stepmania_ft_wav2vec2-large-xlsr-53-v4

This model is a fine-tuned version of [gary109/ai-light-dance_stepmania_ft_wav2vec2-large-xlsr-53-v3](https://huggingface.co/gary109/ai-light-dance_stepmania_ft_wav2vec2-large-xlsr-53-v3) on the GARY109/AI_LIGHT_DANCE - ONSET-STEPMANIA2 dataset.
It achieves the following results on the evaluation set:
- Loss: 1.0298
- Wer: 0.6642

## 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: 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    |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 0.9218        | 1.0   | 188  | 1.0718          | 0.6958 |
| 0.9194        | 2.0   | 376  | 1.0354          | 0.6937 |
| 0.9077        | 3.0   | 564  | 1.0365          | 0.6730 |
| 0.8956        | 4.0   | 752  | 1.0497          | 0.6727 |
| 0.877         | 5.0   | 940  | 1.0299          | 0.6694 |
| 0.8736        | 6.0   | 1128 | 1.0298          | 0.6642 |
| 0.8769        | 7.0   | 1316 | 1.0348          | 0.6584 |
| 0.8571        | 8.0   | 1504 | 1.0689          | 0.6602 |
| 0.8573        | 9.0   | 1692 | 1.0559          | 0.6549 |
| 0.8458        | 10.0  | 1880 | 1.0706          | 0.6588 |


### Framework versions

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