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---
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
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