ai-light-dance_drums_ft_pretrain_wav2vec2-base-new-13k_onset-drums_fold_1
This model is a fine-tuned version of gary109/ai-light-dance_drums_pretrain_wav2vec2-base-new-13k on the GARY109/AI_LIGHT_DANCE - ONSET-DRUMS_FOLD_1 dataset. It achieves the following results on the evaluation set:
- Loss: 0.4630
- Wer: 0.2145
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: 0.0003
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 100
- num_epochs: 50.0
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 3.0614 | 0.99 | 69 | 5.1275 | 1.0 |
| 1.8291 | 1.99 | 138 | 2.2008 | 1.0 |
| 1.4664 | 2.99 | 207 | 1.6821 | 1.0 |
| 1.287 | 3.99 | 276 | 1.5681 | 1.0 |
| 1.2642 | 4.99 | 345 | 1.5074 | 1.0 |
| 1.2702 | 5.99 | 414 | 1.4650 | 1.0 |
| 1.2245 | 6.99 | 483 | 1.3027 | 1.0 |
| 1.3461 | 7.99 | 552 | 1.3109 | 1.0 |
| 1.2903 | 8.99 | 621 | 1.3107 | 1.0 |
| 1.2741 | 9.99 | 690 | 1.1842 | 1.0 |
| 1.1446 | 10.99 | 759 | 1.1754 | 1.0 |
| 1.0746 | 11.99 | 828 | 1.1469 | 0.9999 |
| 0.8203 | 12.99 | 897 | 0.9071 | 0.6202 |
| 0.5996 | 13.99 | 966 | 0.7047 | 0.4234 |
| 0.5672 | 14.99 | 1035 | 0.5369 | 0.2567 |
| 0.4965 | 15.99 | 1104 | 0.4644 | 0.2861 |
| 0.5639 | 16.99 | 1173 | 0.4630 | 0.2145 |
| 0.6272 | 17.99 | 1242 | 0.6848 | 0.2667 |
| 0.6764 | 18.99 | 1311 | 0.6074 | 0.2508 |
| 0.7205 | 19.99 | 1380 | 0.6452 | 0.2184 |
| 0.346 | 20.99 | 1449 | 0.5962 | 0.2457 |
| 0.2212 | 21.99 | 1518 | 0.5236 | 0.2068 |
| 0.1646 | 22.99 | 1587 | 0.6130 | 0.2198 |
| 0.3148 | 23.99 | 1656 | 0.5592 | 0.2620 |
| 0.3061 | 24.99 | 1725 | 0.5577 | 0.2560 |
| 0.3137 | 25.99 | 1794 | 0.5247 | 0.2227 |
| 0.389 | 26.99 | 1863 | 0.5799 | 0.2081 |
| 0.4168 | 27.99 | 1932 | 0.5850 | 0.1818 |
| 0.4403 | 28.99 | 2001 | 0.5687 | 0.2053 |
| 0.4936 | 29.99 | 2070 | 0.5511 | 0.2065 |
| 0.2196 | 30.99 | 2139 | 0.5438 | 0.1706 |
| 0.1683 | 31.99 | 2208 | 0.6066 | 0.1855 |
| 0.1552 | 32.99 | 2277 | 0.5248 | 0.1930 |
| 0.1682 | 33.99 | 2346 | 0.5440 | 0.1783 |
| 0.2162 | 34.99 | 2415 | 0.6079 | 0.1778 |
| 0.3041 | 35.99 | 2484 | 0.5608 | 0.1834 |
| 0.3188 | 36.99 | 2553 | 0.6039 | 0.2007 |
| 0.3692 | 37.99 | 2622 | 0.5437 | 0.1769 |
| 0.4446 | 38.99 | 2691 | 0.6475 | 0.1881 |
| 0.386 | 39.99 | 2760 | 0.6468 | 0.1894 |
| 0.1995 | 40.99 | 2829 | 0.6398 | 0.1906 |
| 0.1174 | 41.99 | 2898 | 0.5987 | 0.1936 |
| 0.1288 | 42.99 | 2967 | 0.6133 | 0.1871 |
| 0.1857 | 43.99 | 3036 | 0.6976 | 0.1995 |
| 0.2025 | 44.99 | 3105 | 0.6356 | 0.1902 |
| 0.2922 | 45.99 | 3174 | 0.6324 | 0.2055 |
| 0.3575 | 46.99 | 3243 | 0.6338 | 0.1862 |
| 0.4019 | 47.99 | 3312 | 0.6113 | 0.1898 |
| 0.4211 | 48.99 | 3381 | 0.6320 | 0.1948 |
| 0.4323 | 49.99 | 3450 | 0.6307 | 0.1917 |
Framework versions
- Transformers 4.24.0.dev0
- Pytorch 1.12.1+cu113
- Datasets 2.6.1
- Tokenizers 0.13.1
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