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ai-light-dance_singing3_ft_wav2vec2-large-xlsr-53-v1-5gram

Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
wav2vec2
gary109/AI_Light_Dance
Generated from Trainer
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metadata
license: apache-2.0
tags:
  - generated_from_trainer
model-index:
  - name: ai-light-dance_singing3_ft_wav2vec2-large-xlsr-53-v1-5gram
    results: []

ai-light-dance_singing3_ft_wav2vec2-large-xlsr-53-v1-5gram

This model is a fine-tuned version of gary109/ai-light-dance_singing3_ft_wav2vec2-large-xlsr-53-v1-5gram on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 0.4624
  • Wer: 0.2031

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: 1e-06
  • 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: 100
  • num_epochs: 100.0
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Wer
0.3313 1.0 72 0.4484 0.2159
0.318 2.0 144 0.4495 0.2155
0.3046 3.0 216 0.4518 0.2149
0.2925 4.0 288 0.4516 0.2144
0.2995 5.0 360 0.4518 0.2126
0.3005 6.0 432 0.4536 0.2114
0.2867 7.0 504 0.4555 0.2123
0.2992 8.0 576 0.4537 0.2113
0.2964 9.0 648 0.4567 0.2115
0.3104 10.0 720 0.4545 0.2093
0.2961 11.0 792 0.4572 0.2101
0.3039 12.0 864 0.4562 0.2121
0.2903 13.0 936 0.4601 0.2099
0.2962 14.0 1008 0.4571 0.2110
0.3033 15.0 1080 0.4578 0.2104
0.3055 16.0 1152 0.4549 0.2105
0.2917 17.0 1224 0.4605 0.2101
0.2894 18.0 1296 0.4655 0.2086
0.2902 19.0 1368 0.4671 0.2087
0.2893 20.0 1440 0.4665 0.2097
0.2974 21.0 1512 0.4655 0.2080
0.3053 22.0 1584 0.4592 0.2090
0.2873 23.0 1656 0.4647 0.2083
0.2824 24.0 1728 0.4611 0.2063
0.2931 25.0 1800 0.4598 0.2066
0.2974 26.0 1872 0.4611 0.2054
0.2892 27.0 1944 0.4604 0.2058
0.2937 28.0 2016 0.4607 0.2046
0.2864 29.0 2088 0.4608 0.2063
0.3046 30.0 2160 0.4607 0.2055
0.2973 31.0 2232 0.4553 0.2051
0.2946 32.0 2304 0.4632 0.2057
0.2784 33.0 2376 0.4624 0.2055
0.2807 34.0 2448 0.4605 0.2055
0.29 35.0 2520 0.4627 0.2061
0.2927 36.0 2592 0.4586 0.2034
0.2978 37.0 2664 0.4567 0.2039
0.2852 38.0 2736 0.4605 0.2033
0.2765 39.0 2808 0.4608 0.2039
0.3007 40.0 2880 0.4585 0.2052
0.2959 41.0 2952 0.4597 0.2043
0.279 42.0 3024 0.4584 0.2037
0.2865 43.0 3096 0.4608 0.2047
0.2857 44.0 3168 0.4601 0.2033
0.2927 45.0 3240 0.4614 0.2033
0.2965 46.0 3312 0.4619 0.2032
0.2865 47.0 3384 0.4600 0.2030
0.2825 48.0 3456 0.4617 0.2040
0.2773 49.0 3528 0.4623 0.2040
0.2903 50.0 3600 0.4646 0.2034
0.2895 51.0 3672 0.4635 0.2051
0.282 52.0 3744 0.4653 0.2050
0.2879 53.0 3816 0.4637 0.2043
0.2753 54.0 3888 0.4633 0.2042
0.2897 55.0 3960 0.4638 0.2051
0.2946 56.0 4032 0.4616 0.2056
0.29 57.0 4104 0.4635 0.2051
0.2787 58.0 4176 0.4647 0.2051
0.2824 59.0 4248 0.4670 0.2048
0.2819 60.0 4320 0.4660 0.2042
0.2903 61.0 4392 0.4652 0.2056
0.2947 62.0 4464 0.4667 0.2045
0.2885 63.0 4536 0.4660 0.2040
0.2892 64.0 4608 0.4639 0.2034
0.2932 65.0 4680 0.4638 0.2050
0.2764 66.0 4752 0.4655 0.2030
0.2936 67.0 4824 0.4654 0.2036
0.2911 68.0 4896 0.4659 0.2031
0.2871 69.0 4968 0.4654 0.2028
0.294 70.0 5040 0.4656 0.2042
0.2946 71.0 5112 0.4624 0.2038
0.2915 72.0 5184 0.4620 0.2034
0.2844 73.0 5256 0.4610 0.2034
0.2752 74.0 5328 0.4607 0.2036
0.2941 75.0 5400 0.4605 0.2040
0.2964 76.0 5472 0.4612 0.2027
0.2957 77.0 5544 0.4599 0.2030
0.2875 78.0 5616 0.4609 0.2030
0.2939 79.0 5688 0.4616 0.2031
0.3005 80.0 5760 0.4601 0.2039
0.2947 81.0 5832 0.4610 0.2035
0.2876 82.0 5904 0.4615 0.2036
0.2886 83.0 5976 0.4627 0.2034
0.2908 84.0 6048 0.4639 0.2033
0.296 85.0 6120 0.4628 0.2031
0.2842 86.0 6192 0.4627 0.2034
0.2938 87.0 6264 0.4629 0.2035
0.2967 88.0 6336 0.4632 0.2033
0.2854 89.0 6408 0.4634 0.2035
0.2975 90.0 6480 0.4642 0.2034
0.2917 91.0 6552 0.4632 0.2034
0.2854 92.0 6624 0.4637 0.2030
0.2877 93.0 6696 0.4640 0.2034
0.2818 94.0 6768 0.4625 0.2027
0.2946 95.0 6840 0.4626 0.2027
0.2992 96.0 6912 0.4626 0.2025
0.2884 97.0 6984 0.4626 0.2029
0.299 98.0 7056 0.4624 0.2027
0.2788 99.0 7128 0.4628 0.2032
0.2966 100.0 7200 0.4624 0.2031

Framework versions

  • Transformers 4.21.0.dev0
  • Pytorch 1.9.1+cu102
  • Datasets 2.3.3.dev0
  • Tokenizers 0.12.1