---
tags:
- automatic-speech-recognition
- gary109/AI_Light_Dance
- generated_from_trainer
model-index:
- name: ai-light-dance_singing_ft_wav2vec2-large-xlsr-53-5gram-v4
  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-xlsr-53-5gram-v4

This model is a fine-tuned version of [gary109/ai-light-dance_singing_ft_wav2vec2-large-xlsr-53-5gram-v2](https://huggingface.co/gary109/ai-light-dance_singing_ft_wav2vec2-large-xlsr-53-5gram-v2) on the GARY109/AI_LIGHT_DANCE - ONSET-SINGING dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4231
- Wer: 0.1597

## 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: 500
- num_epochs: 10.0
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer    |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 0.1335        | 1.0   | 138  | 0.4256          | 0.1605 |
| 0.1288        | 2.0   | 276  | 0.4234          | 0.1602 |
| 0.1278        | 3.0   | 414  | 0.4243          | 0.1597 |
| 0.1345        | 4.0   | 552  | 0.4231          | 0.1597 |
| 0.1344        | 5.0   | 690  | 0.4246          | 0.1597 |
| 0.1237        | 6.0   | 828  | 0.4279          | 0.1595 |
| 0.1109        | 7.0   | 966  | 0.4354          | 0.1573 |
| 0.1247        | 8.0   | 1104 | 0.4318          | 0.1570 |
| 0.1372        | 9.0   | 1242 | 0.4341          | 0.1573 |
| 0.1256        | 10.0  | 1380 | 0.4328          | 0.1575 |


### Framework versions

- Transformers 4.21.0.dev0
- Pytorch 1.9.1+cu102
- Datasets 2.3.3.dev0
- Tokenizers 0.12.1