---
tags:
- automatic-speech-recognition
- gary109/AI_Light_Dance
- generated_from_trainer
model-index:
- name: ai-light-dance_singing2_ft_wav2vec2-large-xlsr-53-5gram-v4-1
  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_singing2_ft_wav2vec2-large-xlsr-53-5gram-v4-1

This model is a fine-tuned version of [gary109/ai-light-dance_singing_ft_wav2vec2-large-xlsr-53-5gram-v4](https://huggingface.co/gary109/ai-light-dance_singing_ft_wav2vec2-large-xlsr-53-5gram-v4) on the GARY109/AI_LIGHT_DANCE - ONSET-SINGING2 dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2143
- Wer: 0.1211

## 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: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 8
- 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    |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 0.2609        | 1.0   | 280  | 0.2313          | 0.1376 |
| 0.2297        | 2.0   | 560  | 0.2240          | 0.1397 |
| 0.1951        | 3.0   | 840  | 0.2280          | 0.1361 |
| 0.1816        | 4.0   | 1120 | 0.2215          | 0.1282 |
| 0.1634        | 5.0   | 1400 | 0.2180          | 0.1240 |
| 0.1338        | 6.0   | 1680 | 0.2226          | 0.1241 |
| 0.1411        | 7.0   | 1960 | 0.2143          | 0.1211 |
| 0.1143        | 8.0   | 2240 | 0.2181          | 0.1174 |
| 0.1127        | 9.0   | 2520 | 0.2215          | 0.1167 |
| 0.105         | 10.0  | 2800 | 0.2196          | 0.1160 |


### Framework versions

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