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ai-light-dance_stepmania_ft_wav2vec2-large-xlsr-53-v6
This model is a fine-tuned version of gary109/ai-light-dance_stepmania_ft_wav2vec2-large-xlsr-53-v5 on the GARY109/AI_LIGHT_DANCE - ONSET-STEPMANIA2 dataset. It achieves the following results on the evaluation set:
- Loss: 1.0063
- Wer: 0.6580
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-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 |
|---|---|---|---|---|
| 0.8572 | 1.0 | 376 | 1.0508 | 0.6601 |
| 0.8671 | 2.0 | 752 | 1.0755 | 0.6581 |
| 0.8578 | 3.0 | 1128 | 1.0152 | 0.6787 |
| 0.8552 | 4.0 | 1504 | 1.0537 | 0.6557 |
| 0.8354 | 5.0 | 1880 | 1.0386 | 0.6606 |
| 0.8543 | 6.0 | 2256 | 1.0063 | 0.6580 |
| 0.8556 | 7.0 | 2632 | 1.0487 | 0.6499 |
| 0.8356 | 8.0 | 3008 | 1.0407 | 0.6549 |
| 0.8227 | 9.0 | 3384 | 1.0382 | 0.6506 |
| 0.8148 | 10.0 | 3760 | 1.0440 | 0.6500 |
Framework versions
- Transformers 4.21.0.dev0
- Pytorch 1.11.0+cu113
- Datasets 2.3.3.dev0
- Tokenizers 0.12.1
