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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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model-index: |
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- name: ai-light-dance_singing4_ft_wav2vec2-large-xlsr-53-5gram-v4-2 |
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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_singing4_ft_wav2vec2-large-xlsr-53-5gram-v4-2 |
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This model is a fine-tuned version of [gary109/ai-light-dance_singing2_ft_wav2vec2-large-xlsr-53-5gram-v4-2](https://huggingface.co/gary109/ai-light-dance_singing2_ft_wav2vec2-large-xlsr-53-5gram-v4-2) on the GARY109/AI_LIGHT_DANCE - ONSET-SINGING4 dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.2311 |
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- Wer: 0.1042 |
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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: 4e-05 |
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- train_batch_size: 8 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- gradient_accumulation_steps: 8 |
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- total_train_batch_size: 64 |
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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: 500 |
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- num_epochs: 100.0 |
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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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| 0.9329 | 1.0 | 72 | 0.4334 | 0.1349 | |
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| 0.7631 | 2.0 | 144 | 0.3390 | 0.1318 | |
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| 0.7575 | 3.0 | 216 | 0.3182 | 0.1441 | |
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| 0.667 | 4.0 | 288 | 0.2995 | 0.1288 | |
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| 0.6474 | 5.0 | 360 | 0.3211 | 0.1574 | |
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| 0.6094 | 6.0 | 432 | 0.2944 | 0.1530 | |
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| 0.5586 | 7.0 | 504 | 0.3446 | 0.1809 | |
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| 0.5728 | 8.0 | 576 | 0.2682 | 0.1246 | |
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| 0.575 | 9.0 | 648 | 0.2610 | 0.1244 | |
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| 0.5882 | 10.0 | 720 | 0.2463 | 0.1199 | |
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| 0.5367 | 11.0 | 792 | 0.2542 | 0.1093 | |
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| 0.5261 | 12.0 | 864 | 0.2523 | 0.1131 | |
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| 0.5091 | 13.0 | 936 | 0.2491 | 0.1175 | |
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| 0.5323 | 14.0 | 1008 | 0.2535 | 0.1208 | |
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| 0.5478 | 15.0 | 1080 | 0.2542 | 0.1204 | |
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| 0.4775 | 16.0 | 1152 | 0.2476 | 0.1138 | |
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| 0.4922 | 17.0 | 1224 | 0.2535 | 0.1162 | |
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| 0.4893 | 18.0 | 1296 | 0.2501 | 0.1143 | |
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| 0.4672 | 19.0 | 1368 | 0.2703 | 0.1162 | |
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| 0.4764 | 20.0 | 1440 | 0.2632 | 0.1253 | |
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| 0.4716 | 21.0 | 1512 | 0.2534 | 0.1097 | |
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| 0.4733 | 22.0 | 1584 | 0.2496 | 0.1086 | |
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| 0.4577 | 23.0 | 1656 | 0.2637 | 0.1225 | |
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| 0.4714 | 24.0 | 1728 | 0.2489 | 0.1102 | |
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| 0.4615 | 25.0 | 1800 | 0.2399 | 0.1020 | |
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| 0.4636 | 26.0 | 1872 | 0.2311 | 0.1042 | |
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| 0.4564 | 27.0 | 1944 | 0.2413 | 0.1042 | |
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| 0.4452 | 28.0 | 2016 | 0.2436 | 0.1037 | |
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| 0.4336 | 29.0 | 2088 | 0.2484 | 0.1070 | |
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| 0.4628 | 30.0 | 2160 | 0.2385 | 0.1005 | |
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| 0.4475 | 31.0 | 2232 | 0.2446 | 0.1075 | |
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| 0.4264 | 32.0 | 2304 | 0.2548 | 0.1068 | |
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| 0.4417 | 33.0 | 2376 | 0.2442 | 0.1046 | |
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| 0.4165 | 34.0 | 2448 | 0.2458 | 0.1045 | |
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| 0.4398 | 35.0 | 2520 | 0.2475 | 0.0979 | |
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| 0.4334 | 36.0 | 2592 | 0.2375 | 0.1027 | |
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| 0.4279 | 37.0 | 2664 | 0.2462 | 0.1053 | |
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| 0.4213 | 38.0 | 2736 | 0.2402 | 0.1028 | |
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| 0.4394 | 39.0 | 2808 | 0.2385 | 0.1020 | |
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| 0.4415 | 40.0 | 2880 | 0.2428 | 0.1021 | |
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| 0.4173 | 41.0 | 2952 | 0.2356 | 0.1016 | |
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| 0.4006 | 42.0 | 3024 | 0.2461 | 0.1007 | |
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| 0.4055 | 43.0 | 3096 | 0.2412 | 0.0998 | |
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| 0.4163 | 44.0 | 3168 | 0.2378 | 0.0976 | |
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| 0.4143 | 45.0 | 3240 | 0.2471 | 0.0996 | |
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| 0.4132 | 46.0 | 3312 | 0.2457 | 0.1004 | |
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| 0.3991 | 47.0 | 3384 | 0.2350 | 0.1019 | |
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| 0.4014 | 48.0 | 3456 | 0.2400 | 0.1025 | |
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| 0.416 | 49.0 | 3528 | 0.2370 | 0.1010 | |
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| 0.4067 | 50.0 | 3600 | 0.2444 | 0.1010 | |
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| 0.3876 | 51.0 | 3672 | 0.2491 | 0.1057 | |
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| 0.3964 | 52.0 | 3744 | 0.2451 | 0.1075 | |
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| 0.3903 | 53.0 | 3816 | 0.2395 | 0.1003 | |
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| 0.4036 | 54.0 | 3888 | 0.2446 | 0.1016 | |
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| 0.3936 | 55.0 | 3960 | 0.2520 | 0.0997 | |
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| 0.4094 | 56.0 | 4032 | 0.2401 | 0.0992 | |
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| 0.3977 | 57.0 | 4104 | 0.2498 | 0.1019 | |
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| 0.3942 | 58.0 | 4176 | 0.2496 | 0.0989 | |
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| 0.4052 | 59.0 | 4248 | 0.2507 | 0.1021 | |
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| 0.3995 | 60.0 | 4320 | 0.2382 | 0.0999 | |
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| 0.407 | 61.0 | 4392 | 0.2517 | 0.1037 | |
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| 0.4067 | 62.0 | 4464 | 0.2430 | 0.1034 | |
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| 0.3887 | 63.0 | 4536 | 0.2415 | 0.0974 | |
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| 0.3837 | 64.0 | 4608 | 0.2435 | 0.0991 | |
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| 0.3954 | 65.0 | 4680 | 0.2384 | 0.0985 | |
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| 0.3726 | 66.0 | 4752 | 0.2550 | 0.1009 | |
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| 0.3659 | 67.0 | 4824 | 0.2523 | 0.0967 | |
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| 0.376 | 68.0 | 4896 | 0.2571 | 0.0973 | |
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| 0.3759 | 69.0 | 4968 | 0.2528 | 0.0981 | |
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| 0.3862 | 70.0 | 5040 | 0.2496 | 0.0976 | |
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| 0.367 | 71.0 | 5112 | 0.2465 | 0.0942 | |
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| 0.3688 | 72.0 | 5184 | 0.2505 | 0.0968 | |
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| 0.3817 | 73.0 | 5256 | 0.2525 | 0.0973 | |
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| 0.3675 | 74.0 | 5328 | 0.2441 | 0.0964 | |
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| 0.3727 | 75.0 | 5400 | 0.2440 | 0.0973 | |
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| 0.371 | 76.0 | 5472 | 0.2510 | 0.0971 | |
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| 0.3761 | 77.0 | 5544 | 0.2398 | 0.0961 | |
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| 0.358 | 78.0 | 5616 | 0.2485 | 0.0956 | |
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| 0.3521 | 79.0 | 5688 | 0.2438 | 0.0955 | |
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| 0.3722 | 80.0 | 5760 | 0.2422 | 0.0967 | |
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| 0.3663 | 81.0 | 5832 | 0.2463 | 0.0949 | |
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| 0.3716 | 82.0 | 5904 | 0.2467 | 0.0965 | |
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| 0.361 | 83.0 | 5976 | 0.2458 | 0.0957 | |
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| 0.3626 | 84.0 | 6048 | 0.2501 | 0.0942 | |
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| 0.3755 | 85.0 | 6120 | 0.2486 | 0.0943 | |
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| 0.3693 | 86.0 | 6192 | 0.2497 | 0.0947 | |
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| 0.3548 | 87.0 | 6264 | 0.2515 | 0.0958 | |
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| 0.3583 | 88.0 | 6336 | 0.2433 | 0.0937 | |
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| 0.3678 | 89.0 | 6408 | 0.2456 | 0.0933 | |
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| 0.3718 | 90.0 | 6480 | 0.2443 | 0.0937 | |
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| 0.3614 | 91.0 | 6552 | 0.2457 | 0.0957 | |
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| 0.3541 | 92.0 | 6624 | 0.2450 | 0.0953 | |
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| 0.3671 | 93.0 | 6696 | 0.2469 | 0.0944 | |
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| 0.3503 | 94.0 | 6768 | 0.2459 | 0.0956 | |
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| 0.3692 | 95.0 | 6840 | 0.2461 | 0.0944 | |
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| 0.362 | 96.0 | 6912 | 0.2430 | 0.0945 | |
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| 0.3431 | 97.0 | 6984 | 0.2454 | 0.0952 | |
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| 0.3597 | 98.0 | 7056 | 0.2454 | 0.0940 | |
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| 0.354 | 99.0 | 7128 | 0.2448 | 0.0939 | |
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| 0.3597 | 100.0 | 7200 | 0.2449 | 0.0943 | |
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### Framework versions |
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- Transformers 4.21.0.dev0 |
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- Pytorch 1.9.1+cu102 |
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- Datasets 2.3.3.dev0 |
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- Tokenizers 0.12.1 |
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