ai-light-dance_singing_ft_wav2vec2-large-xlsr-53-5gram-v1
This model is a fine-tuned version of gary109/ai-light-dance_singing_ft_wav2vec2-large-xlsr-53-5gram on the GARY109/AI_LIGHT_DANCE - ONSET-SINGING dataset. It achieves the following results on the evaluation set:
- Loss: 0.4123
- Wer: 0.1668
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: 2
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 16
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 500
- num_epochs: 10.0
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.2696 | 1.0 | 552 | 0.4421 | 0.2013 |
| 0.2498 | 2.0 | 1104 | 0.4389 | 0.1887 |
| 0.2387 | 3.0 | 1656 | 0.4154 | 0.1788 |
| 0.1902 | 4.0 | 2208 | 0.4143 | 0.1753 |
| 0.1896 | 5.0 | 2760 | 0.4123 | 0.1668 |
| 0.1658 | 6.0 | 3312 | 0.4366 | 0.1651 |
| 0.1312 | 7.0 | 3864 | 0.4309 | 0.1594 |
| 0.1186 | 8.0 | 4416 | 0.4432 | 0.1561 |
| 0.1476 | 9.0 | 4968 | 0.4400 | 0.1569 |
| 0.1027 | 10.0 | 5520 | 0.4389 | 0.1554 |
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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