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---
tags:
- generated_from_trainer
datasets:
- ai_light_dance
model-index:
- name: ai-light-dance_drums_ft_pretrain_wav2vec2-base
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# ai-light-dance_drums_ft_pretrain_wav2vec2-base
This model is a fine-tuned version of [gary109/ai-light-dance_drums_pretrain_wav2vec2-base](https://huggingface.co/gary109/ai-light-dance_drums_pretrain_wav2vec2-base) on the ai_light_dance dataset.
It achieves the following results on the evaluation set:
- Loss: 2.4280
- Wer: 0.7546
## 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: 0.0004
- 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: 20
- num_epochs: 200.0
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| No log | 0.9 | 8 | 129.7304 | 1.0826 |
| 58.4765 | 1.9 | 16 | 92.1020 | 1.3475 |
| 37.6409 | 2.9 | 24 | 23.8801 | 1.0 |
| 6.3535 | 3.9 | 32 | 13.2330 | 1.0 |
| 5.0319 | 4.9 | 40 | 8.3613 | 1.0 |
| 5.0319 | 5.9 | 48 | 5.5184 | 1.0 |
| 4.7733 | 6.9 | 56 | 4.1720 | 1.0 |
| 3.8911 | 7.9 | 64 | 3.9397 | 0.9994 |
| 3.6 | 8.9 | 72 | 4.0742 | 0.9994 |
| 3.1586 | 9.9 | 80 | 3.8396 | 0.9997 |
| 3.1586 | 10.9 | 88 | 3.8821 | 0.9994 |
| 3.3812 | 11.9 | 96 | 3.9755 | 0.9979 |
| 3.0088 | 12.9 | 104 | 4.5299 | 0.9970 |
| 2.7633 | 13.9 | 112 | 4.1392 | 0.9964 |
| 2.6359 | 14.9 | 120 | 3.8528 | 0.9985 |
| 2.6359 | 15.9 | 128 | 3.4156 | 0.9973 |
| 3.1964 | 16.9 | 136 | 3.3741 | 0.9967 |
| 2.4962 | 17.9 | 144 | 3.6132 | 0.9922 |
| 2.4907 | 18.9 | 152 | 3.5363 | 0.9958 |
| 2.413 | 19.9 | 160 | 3.6351 | 0.9928 |
| 2.413 | 20.9 | 168 | 3.6113 | 0.9925 |
| 2.5555 | 21.9 | 176 | 3.7120 | 0.9904 |
| 2.2909 | 22.9 | 184 | 3.4334 | 0.9913 |
| 2.298 | 23.9 | 192 | 3.5458 | 0.9913 |
| 2.2366 | 24.9 | 200 | 3.7105 | 0.9898 |
| 2.2366 | 25.9 | 208 | 4.2298 | 0.9865 |
| 2.3428 | 26.9 | 216 | 3.3207 | 0.9889 |
| 2.2519 | 27.9 | 224 | 3.1548 | 0.9895 |
| 2.0429 | 28.9 | 232 | 3.7694 | 0.9877 |
| 2.1886 | 29.9 | 240 | 3.5341 | 0.9877 |
| 2.1886 | 30.9 | 248 | 3.1388 | 0.9850 |
| 2.2182 | 31.9 | 256 | 2.9390 | 0.9817 |
| 1.9479 | 32.9 | 264 | 3.0060 | 0.9826 |
| 1.9703 | 33.9 | 272 | 3.2571 | 0.9787 |
| 1.9385 | 34.9 | 280 | 3.1086 | 0.9776 |
| 1.9385 | 35.9 | 288 | 2.8231 | 0.9656 |
| 2.0297 | 36.9 | 296 | 2.8961 | 0.9668 |
| 1.8406 | 37.9 | 304 | 2.8829 | 0.9671 |
| 1.8707 | 38.9 | 312 | 3.1194 | 0.9584 |
| 1.7798 | 39.9 | 320 | 3.0686 | 0.9599 |
| 1.7798 | 40.9 | 328 | 2.7280 | 0.9527 |
| 1.9163 | 41.9 | 336 | 2.6321 | 0.9476 |
| 1.7248 | 42.9 | 344 | 2.6813 | 0.9413 |
| 1.7602 | 43.9 | 352 | 2.7252 | 0.9419 |
| 1.7357 | 44.9 | 360 | 3.0335 | 0.9398 |
| 1.7357 | 45.9 | 368 | 2.8732 | 0.9345 |
| 1.7997 | 46.9 | 376 | 2.7709 | 0.9353 |
| 1.6268 | 47.9 | 384 | 2.7681 | 0.9279 |
| 1.6527 | 48.9 | 392 | 2.8259 | 0.9303 |
| 1.5715 | 49.9 | 400 | 2.8841 | 0.9342 |
| 1.5715 | 50.9 | 408 | 2.7944 | 0.9222 |
| 1.6903 | 51.9 | 416 | 3.1597 | 0.9204 |
| 1.5722 | 52.9 | 424 | 2.5595 | 0.9213 |
| 1.539 | 53.9 | 432 | 2.8160 | 0.9117 |
| 1.538 | 54.9 | 440 | 2.5656 | 0.9168 |
| 1.538 | 55.9 | 448 | 2.9077 | 0.9075 |
| 1.624 | 56.9 | 456 | 2.8725 | 0.8985 |
| 1.5052 | 57.9 | 464 | 2.6217 | 0.8902 |
| 1.4367 | 58.9 | 472 | 2.5043 | 0.8976 |
| 1.4814 | 59.9 | 480 | 3.0905 | 0.8949 |
| 1.4814 | 60.9 | 488 | 2.7213 | 0.8991 |
| 1.5696 | 61.9 | 496 | 2.6882 | 0.8913 |
| 1.4408 | 62.9 | 504 | 2.7322 | 0.8737 |
| 1.4065 | 63.9 | 512 | 2.7024 | 0.8827 |
| 1.3989 | 64.9 | 520 | 2.6809 | 0.8806 |
| 1.3989 | 65.9 | 528 | 2.6340 | 0.8866 |
| 1.5102 | 66.9 | 536 | 2.8651 | 0.8851 |
| 1.4158 | 67.9 | 544 | 2.7928 | 0.8758 |
| 1.3322 | 68.9 | 552 | 2.7549 | 0.8800 |
| 1.4226 | 69.9 | 560 | 2.6618 | 0.8776 |
| 1.4226 | 70.9 | 568 | 2.6937 | 0.8650 |
| 1.4735 | 71.9 | 576 | 2.6285 | 0.8668 |
| 1.338 | 72.9 | 584 | 2.5628 | 0.8668 |
| 1.335 | 73.9 | 592 | 2.4783 | 0.8608 |
| 1.3433 | 74.9 | 600 | 2.6549 | 0.8605 |
| 1.3433 | 75.9 | 608 | 2.3851 | 0.8536 |
| 1.4341 | 76.9 | 616 | 2.6057 | 0.8641 |
| 1.3036 | 77.9 | 624 | 2.4144 | 0.8614 |
| 1.2617 | 78.9 | 632 | 2.5002 | 0.8596 |
| 1.308 | 79.9 | 640 | 2.4929 | 0.8575 |
| 1.308 | 80.9 | 648 | 2.6993 | 0.8462 |
| 1.3877 | 81.9 | 656 | 2.5874 | 0.8509 |
| 1.2553 | 82.9 | 664 | 2.6430 | 0.8536 |
| 1.211 | 83.9 | 672 | 3.0369 | 0.8497 |
| 1.2647 | 84.9 | 680 | 2.7012 | 0.8438 |
| 1.2647 | 85.9 | 688 | 2.5129 | 0.8581 |
| 1.3168 | 86.9 | 696 | 2.5123 | 0.8453 |
| 1.1997 | 87.9 | 704 | 2.4592 | 0.8503 |
| 1.1866 | 88.9 | 712 | 2.6306 | 0.8420 |
| 1.2396 | 89.9 | 720 | 2.4730 | 0.8459 |
| 1.2396 | 90.9 | 728 | 2.6146 | 0.8488 |
| 1.3184 | 91.9 | 736 | 2.6204 | 0.8423 |
| 1.1704 | 92.9 | 744 | 2.8896 | 0.8441 |
| 1.1436 | 93.9 | 752 | 2.9971 | 0.8390 |
| 1.1716 | 94.9 | 760 | 2.7293 | 0.8479 |
| 1.1716 | 95.9 | 768 | 2.9620 | 0.8426 |
| 1.2487 | 96.9 | 776 | 2.6880 | 0.8333 |
| 1.118 | 97.9 | 784 | 2.6754 | 0.8321 |
| 1.186 | 98.9 | 792 | 2.6925 | 0.8342 |
| 1.1373 | 99.9 | 800 | 2.9207 | 0.8339 |
| 1.1373 | 100.9 | 808 | 2.8559 | 0.8354 |
| 1.2086 | 101.9 | 816 | 2.9774 | 0.8336 |
| 1.1227 | 102.9 | 824 | 3.0108 | 0.8192 |
| 1.1446 | 103.9 | 832 | 2.8997 | 0.8270 |
| 1.1142 | 104.9 | 840 | 2.6626 | 0.8306 |
| 1.1142 | 105.9 | 848 | 2.7737 | 0.8195 |
| 1.1665 | 106.9 | 856 | 2.5447 | 0.8186 |
| 1.1 | 107.9 | 864 | 2.4472 | 0.8312 |
| 1.0674 | 108.9 | 872 | 2.4062 | 0.8225 |
| 1.0556 | 109.9 | 880 | 2.4098 | 0.8246 |
| 1.0556 | 110.9 | 888 | 2.3447 | 0.8255 |
| 1.1834 | 111.9 | 896 | 2.5571 | 0.8066 |
| 1.0533 | 112.9 | 904 | 2.5983 | 0.8150 |
| 1.101 | 113.9 | 912 | 2.6911 | 0.7950 |
| 1.0633 | 114.9 | 920 | 2.5733 | 0.8078 |
| 1.0633 | 115.9 | 928 | 2.5813 | 0.8192 |
| 1.1512 | 116.9 | 936 | 2.6237 | 0.8135 |
| 1.0317 | 117.9 | 944 | 2.5566 | 0.8031 |
| 1.0117 | 118.9 | 952 | 2.5485 | 0.8016 |
| 1.0556 | 119.9 | 960 | 2.4271 | 0.7980 |
| 1.0556 | 120.9 | 968 | 2.6579 | 0.7941 |
| 1.1204 | 121.9 | 976 | 2.6150 | 0.7944 |
| 1.0378 | 122.9 | 984 | 2.5499 | 0.8025 |
| 1.0213 | 123.9 | 992 | 2.7273 | 0.7938 |
| 1.0247 | 124.9 | 1000 | 2.7522 | 0.7863 |
| 1.0247 | 125.9 | 1008 | 2.9163 | 0.7971 |
| 1.0939 | 126.9 | 1016 | 2.6221 | 0.7896 |
| 1.0399 | 127.9 | 1024 | 2.9418 | 0.8004 |
| 1.0233 | 128.9 | 1032 | 2.7558 | 0.7857 |
| 0.9702 | 129.9 | 1040 | 2.5745 | 0.7905 |
| 0.9702 | 130.9 | 1048 | 2.6720 | 0.7899 |
| 1.0676 | 131.9 | 1056 | 2.6901 | 0.8022 |
| 1.0044 | 132.9 | 1064 | 2.6594 | 0.7773 |
| 1.0276 | 133.9 | 1072 | 2.4739 | 0.7932 |
| 0.949 | 134.9 | 1080 | 2.5398 | 0.7755 |
| 0.949 | 135.9 | 1088 | 2.6267 | 0.7797 |
| 1.0508 | 136.9 | 1096 | 2.4829 | 0.7722 |
| 0.9937 | 137.9 | 1104 | 2.4289 | 0.7776 |
| 0.9677 | 138.9 | 1112 | 2.5845 | 0.7815 |
| 1.0115 | 139.9 | 1120 | 2.7132 | 0.7704 |
| 1.0115 | 140.9 | 1128 | 2.4297 | 0.7836 |
| 1.049 | 141.9 | 1136 | 2.3430 | 0.7830 |
| 0.9412 | 142.9 | 1144 | 2.6202 | 0.7698 |
| 0.9647 | 143.9 | 1152 | 2.5072 | 0.7710 |
| 0.9839 | 144.9 | 1160 | 2.3640 | 0.7752 |
| 0.9839 | 145.9 | 1168 | 2.3263 | 0.7803 |
| 1.0245 | 146.9 | 1176 | 2.4205 | 0.7683 |
| 0.9537 | 147.9 | 1184 | 2.3593 | 0.7833 |
| 0.9787 | 148.9 | 1192 | 2.5319 | 0.7740 |
| 0.9443 | 149.9 | 1200 | 2.4923 | 0.7734 |
| 0.9443 | 150.9 | 1208 | 2.3936 | 0.7725 |
| 1.0125 | 151.9 | 1216 | 2.4754 | 0.7614 |
| 0.943 | 152.9 | 1224 | 2.4341 | 0.7701 |
| 0.9482 | 153.9 | 1232 | 2.4232 | 0.7698 |
| 0.8958 | 154.9 | 1240 | 2.4942 | 0.7516 |
| 0.8958 | 155.9 | 1248 | 2.5161 | 0.7680 |
| 1.0073 | 156.9 | 1256 | 2.5339 | 0.7698 |
| 0.9784 | 157.9 | 1264 | 2.4987 | 0.7561 |
| 0.904 | 158.9 | 1272 | 2.4729 | 0.7561 |
| 0.9352 | 159.9 | 1280 | 2.4668 | 0.7591 |
| 0.9352 | 160.9 | 1288 | 2.4547 | 0.7558 |
| 1.0036 | 161.9 | 1296 | 2.6065 | 0.7647 |
| 0.9437 | 162.9 | 1304 | 2.5466 | 0.7641 |
| 0.8998 | 163.9 | 1312 | 2.5044 | 0.7629 |
| 0.9195 | 164.9 | 1320 | 2.4214 | 0.7632 |
| 0.9195 | 165.9 | 1328 | 2.3591 | 0.7609 |
| 0.9795 | 166.9 | 1336 | 2.4736 | 0.7543 |
| 0.9041 | 167.9 | 1344 | 2.4043 | 0.7597 |
| 0.9111 | 168.9 | 1352 | 2.4594 | 0.7417 |
| 0.8902 | 169.9 | 1360 | 2.4252 | 0.7492 |
| 0.8902 | 170.9 | 1368 | 2.4007 | 0.7543 |
| 0.9956 | 171.9 | 1376 | 2.3503 | 0.7606 |
| 0.8645 | 172.9 | 1384 | 2.3733 | 0.7471 |
| 0.8989 | 173.9 | 1392 | 2.3426 | 0.7546 |
| 0.8961 | 174.9 | 1400 | 2.4074 | 0.7522 |
| 0.8961 | 175.9 | 1408 | 2.4200 | 0.7546 |
| 0.9481 | 176.9 | 1416 | 2.3616 | 0.7504 |
| 0.9347 | 177.9 | 1424 | 2.3545 | 0.7540 |
| 0.9105 | 178.9 | 1432 | 2.3841 | 0.7540 |
| 0.8936 | 179.9 | 1440 | 2.4328 | 0.7531 |
| 0.8936 | 180.9 | 1448 | 2.4596 | 0.7474 |
| 0.9511 | 181.9 | 1456 | 2.4178 | 0.7510 |
| 0.8743 | 182.9 | 1464 | 2.4075 | 0.7513 |
| 0.8905 | 183.9 | 1472 | 2.3900 | 0.7525 |
| 0.8968 | 184.9 | 1480 | 2.4383 | 0.7543 |
| 0.8968 | 185.9 | 1488 | 2.4401 | 0.7519 |
| 0.9459 | 186.9 | 1496 | 2.4344 | 0.7498 |
| 0.9273 | 187.9 | 1504 | 2.4179 | 0.7450 |
| 0.9523 | 188.9 | 1512 | 2.4077 | 0.7525 |
| 0.8903 | 189.9 | 1520 | 2.4482 | 0.7522 |
| 0.8903 | 190.9 | 1528 | 2.4507 | 0.7573 |
| 0.9759 | 191.9 | 1536 | 2.4391 | 0.7564 |
| 0.887 | 192.9 | 1544 | 2.4516 | 0.7522 |
| 0.8796 | 193.9 | 1552 | 2.4404 | 0.7543 |
| 0.861 | 194.9 | 1560 | 2.4268 | 0.7519 |
| 0.861 | 195.9 | 1568 | 2.4319 | 0.7507 |
| 0.9349 | 196.9 | 1576 | 2.4230 | 0.7540 |
| 0.9154 | 197.9 | 1584 | 2.4296 | 0.7558 |
| 0.8695 | 198.9 | 1592 | 2.4308 | 0.7558 |
| 0.8754 | 199.9 | 1600 | 2.4280 | 0.7546 |
### Framework versions
- Transformers 4.24.0.dev0
- Pytorch 1.12.1+cu113
- Datasets 2.6.1
- Tokenizers 0.13.1
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