---
license: apache-2.0
tags:
- automatic-speech-recognition
- ../AI_Light_Dance.py
- generated_from_trainer
model-index:
- name: ai-light-dance_singing_ft_wav2vec2-large-lv60-v2
  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_singing_ft_wav2vec2-large-lv60-v2

This model is a fine-tuned version of [gary109/ai-light-dance_singing_ft_wav2vec2-large-lv60](https://huggingface.co/gary109/ai-light-dance_singing_ft_wav2vec2-large-lv60) on the ../AI_LIGHT_DANCE.PY - ONSET-SINGING dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4285
- Wer: 0.1858

## 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: 3e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 10.0
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Wer    |
|:-------------:|:-----:|:-----:|:---------------:|:------:|
| 0.2775        | 1.0   | 1106  | 0.4372          | 0.2117 |
| 0.2154        | 2.0   | 2212  | 0.4474          | 0.2044 |
| 0.2023        | 3.0   | 3318  | 0.4372          | 0.1920 |
| 0.186         | 4.0   | 4424  | 0.4285          | 0.1858 |
| 0.1856        | 5.0   | 5530  | 0.4589          | 0.1826 |
| 0.1537        | 6.0   | 6636  | 0.4658          | 0.1774 |
| 0.1337        | 7.0   | 7742  | 0.4769          | 0.1744 |
| 0.108         | 8.0   | 8848  | 0.4604          | 0.1724 |
| 0.1593        | 9.0   | 9954  | 0.4731          | 0.1694 |
| 0.0904        | 10.0  | 11060 | 0.4843          | 0.1683 |


### Framework versions

- Transformers 4.20.0.dev0
- Pytorch 1.11.0+cu102
- Datasets 2.2.2.dev0
- Tokenizers 0.12.1