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