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ai-light-dance_stepmania_ft_wav2vec2-large-xlsr-53-v7
This model is a fine-tuned version of gary109/ai-light-dance_stepmania_ft_wav2vec2-large-xlsr-53-v6 on the GARY109/AI_LIGHT_DANCE - ONSET-STEPMANIA2 dataset. It achieves the following results on the evaluation set:
- Loss: 1.0424
- Wer: 0.6512
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: 2
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 100
- num_epochs: 30.0
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.9303 | 1.0 | 12031 | 1.1160 | 0.6712 |
| 0.8181 | 2.0 | 24062 | 1.0601 | 0.6608 |
| 0.7861 | 3.0 | 36093 | 1.0478 | 0.6520 |
| 0.767 | 4.0 | 48124 | 1.0617 | 0.6526 |
| 0.797 | 5.0 | 60155 | 1.0424 | 0.6512 |
| 0.834 | 6.0 | 72186 | 1.0519 | 0.6542 |
| 0.7915 | 7.0 | 84217 | 1.0508 | 0.6494 |
| 0.8106 | 8.0 | 96248 | 1.0753 | 0.6449 |
| 0.7512 | 9.0 | 108279 | 1.1223 | 0.6592 |
| 0.777 | 10.0 | 120310 | 1.1201 | 0.6535 |
| 0.7631 | 11.0 | 132341 | 1.0780 | 0.6512 |
| 0.7465 | 12.0 | 144372 | 1.0822 | 0.6499 |
| 0.826 | 13.0 | 156403 | 1.0706 | 0.6445 |
| 0.7552 | 14.0 | 168434 | 1.0862 | 0.6449 |
| 0.8279 | 15.0 | 180465 | 1.1162 | 0.6461 |
| 0.7769 | 16.0 | 192496 | 1.1023 | 0.6420 |
| 0.7918 | 17.0 | 204527 | 1.1085 | 0.6456 |
| 0.6941 | 18.0 | 216558 | 1.1139 | 0.6417 |
| 0.7379 | 19.0 | 228589 | 1.1126 | 0.6410 |
| 0.7467 | 20.0 | 240620 | 1.1102 | 0.6369 |
| 0.8045 | 21.0 | 252651 | 1.1191 | 0.6376 |
| 0.7059 | 22.0 | 264682 | 1.1285 | 0.6381 |
| 0.7008 | 23.0 | 276713 | 1.1328 | 0.6377 |
| 0.7816 | 24.0 | 288744 | 1.1326 | 0.6366 |
| 0.7426 | 25.0 | 300775 | 1.1420 | 0.6362 |
| 0.7226 | 26.0 | 312806 | 1.1326 | 0.6350 |
| 0.665 | 27.0 | 324837 | 1.1419 | 0.6346 |
| 0.7184 | 28.0 | 336868 | 1.1480 | 0.6346 |
| 0.77 | 29.0 | 348899 | 1.1476 | 0.6343 |
| 0.727 | 30.0 | 360930 | 1.1494 | 0.6348 |
Framework versions
- Transformers 4.21.0.dev0
- Pytorch 1.9.1+cu102
- Datasets 2.3.3.dev0
- Tokenizers 0.12.1
