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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
Inference Endpoints
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update model card README.md

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  ---
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  license: apache-2.0
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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_singing3_ft_wav2vec2-large-xlsr-53-v1-5gram
@@ -14,10 +12,10 @@ should probably proofread and complete it, then remove this comment. -->
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  # ai-light-dance_singing3_ft_wav2vec2-large-xlsr-53-v1-5gram
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- This model is a fine-tuned version of [gary109/ai-light-dance_singing3_ft_wav2vec2-large-xlsr-53-v1-5gram](https://huggingface.co/gary109/ai-light-dance_singing3_ft_wav2vec2-large-xlsr-53-v1-5gram) on the GARY109/AI_LIGHT_DANCE - ONSET-SINGING3 dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.4449
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- - Wer: 0.2121
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  ## Model description
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@@ -36,10 +34,12 @@ More information needed
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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- - learning_rate: 5e-07
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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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  - 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
@@ -50,106 +50,106 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Wer |
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  |:-------------:|:-----:|:-----:|:---------------:|:------:|
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- | 0.2733 | 1.0 | 578 | 0.4485 | 0.2136 |
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- | 0.3215 | 2.0 | 1156 | 0.4449 | 0.2121 |
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- | 0.3305 | 3.0 | 1734 | 0.4521 | 0.2116 |
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- | 0.3208 | 4.0 | 2312 | 0.4548 | 0.2106 |
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- | 0.2838 | 5.0 | 2890 | 0.4509 | 0.2088 |
58
- | 0.3179 | 6.0 | 3468 | 0.4532 | 0.2089 |
59
- | 0.3352 | 7.0 | 4046 | 0.4527 | 0.2081 |
60
- | 0.3406 | 8.0 | 4624 | 0.4531 | 0.2092 |
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- | 0.3163 | 9.0 | 5202 | 0.4546 | 0.2085 |
62
- | 0.3288 | 10.0 | 5780 | 0.4548 | 0.2061 |
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- | 0.3073 | 11.0 | 6358 | 0.4525 | 0.2065 |
64
- | 0.3102 | 12.0 | 6936 | 0.4526 | 0.2065 |
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- | 0.3113 | 13.0 | 7514 | 0.4534 | 0.2045 |
66
- | 0.2968 | 14.0 | 8092 | 0.4554 | 0.2077 |
67
- | 0.2902 | 15.0 | 8670 | 0.4509 | 0.2067 |
68
- | 0.2832 | 16.0 | 9248 | 0.4557 | 0.2047 |
69
- | 0.3147 | 17.0 | 9826 | 0.4584 | 0.2054 |
70
- | 0.3073 | 18.0 | 10404 | 0.4554 | 0.2038 |
71
- | 0.3105 | 19.0 | 10982 | 0.4581 | 0.2040 |
72
- | 0.2435 | 20.0 | 11560 | 0.4582 | 0.2044 |
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- | 0.3005 | 21.0 | 12138 | 0.4599 | 0.2037 |
74
- | 0.3133 | 22.0 | 12716 | 0.4640 | 0.2032 |
75
- | 0.2831 | 23.0 | 13294 | 0.4597 | 0.2037 |
76
- | 0.2852 | 24.0 | 13872 | 0.4574 | 0.2020 |
77
- | 0.3473 | 25.0 | 14450 | 0.4567 | 0.2045 |
78
- | 0.2958 | 26.0 | 15028 | 0.4592 | 0.2034 |
79
- | 0.2802 | 27.0 | 15606 | 0.4590 | 0.2035 |
80
- | 0.2932 | 28.0 | 16184 | 0.4632 | 0.2015 |
81
- | 0.3167 | 29.0 | 16762 | 0.4627 | 0.2034 |
82
- | 0.3381 | 30.0 | 17340 | 0.4617 | 0.2038 |
83
- | 0.3245 | 31.0 | 17918 | 0.4616 | 0.2031 |
84
- | 0.3075 | 32.0 | 18496 | 0.4567 | 0.2035 |
85
- | 0.2895 | 33.0 | 19074 | 0.4574 | 0.2031 |
86
- | 0.3034 | 34.0 | 19652 | 0.4598 | 0.2019 |
87
- | 0.2624 | 35.0 | 20230 | 0.4624 | 0.2002 |
88
- | 0.2888 | 36.0 | 20808 | 0.4628 | 0.2019 |
89
- | 0.2627 | 37.0 | 21386 | 0.4619 | 0.2015 |
90
- | 0.2644 | 38.0 | 21964 | 0.4591 | 0.2027 |
91
- | 0.3187 | 39.0 | 22542 | 0.4562 | 0.2001 |
92
- | 0.299 | 40.0 | 23120 | 0.4588 | 0.2008 |
93
- | 0.3088 | 41.0 | 23698 | 0.4616 | 0.2017 |
94
- | 0.2602 | 42.0 | 24276 | 0.4621 | 0.2006 |
95
- | 0.2709 | 43.0 | 24854 | 0.4613 | 0.2009 |
96
- | 0.314 | 44.0 | 25432 | 0.4612 | 0.2004 |
97
- | 0.2568 | 45.0 | 26010 | 0.4632 | 0.1997 |
98
- | 0.3231 | 46.0 | 26588 | 0.4597 | 0.2007 |
99
- | 0.2927 | 47.0 | 27166 | 0.4610 | 0.2002 |
100
- | 0.289 | 48.0 | 27744 | 0.4649 | 0.2006 |
101
- | 0.2764 | 49.0 | 28322 | 0.4645 | 0.2011 |
102
- | 0.2562 | 50.0 | 28900 | 0.4655 | 0.2011 |
103
- | 0.3026 | 51.0 | 29478 | 0.4697 | 0.2005 |
104
- | 0.3019 | 52.0 | 30056 | 0.4676 | 0.2004 |
105
- | 0.2863 | 53.0 | 30634 | 0.4643 | 0.2002 |
106
- | 0.3016 | 54.0 | 31212 | 0.4674 | 0.2007 |
107
- | 0.2963 | 55.0 | 31790 | 0.4671 | 0.1998 |
108
- | 0.3089 | 56.0 | 32368 | 0.4654 | 0.1993 |
109
- | 0.2641 | 57.0 | 32946 | 0.4652 | 0.1993 |
110
- | 0.2805 | 58.0 | 33524 | 0.4635 | 0.1984 |
111
- | 0.2871 | 59.0 | 34102 | 0.4648 | 0.2006 |
112
- | 0.3335 | 60.0 | 34680 | 0.4658 | 0.1994 |
113
- | 0.3089 | 61.0 | 35258 | 0.4669 | 0.2004 |
114
- | 0.3108 | 62.0 | 35836 | 0.4652 | 0.1992 |
115
- | 0.274 | 63.0 | 36414 | 0.4641 | 0.1995 |
116
- | 0.2828 | 64.0 | 36992 | 0.4640 | 0.1993 |
117
- | 0.2683 | 65.0 | 37570 | 0.4632 | 0.1986 |
118
- | 0.267 | 66.0 | 38148 | 0.4667 | 0.1983 |
119
- | 0.2983 | 67.0 | 38726 | 0.4670 | 0.1986 |
120
- | 0.2877 | 68.0 | 39304 | 0.4661 | 0.1997 |
121
- | 0.3047 | 69.0 | 39882 | 0.4669 | 0.1997 |
122
- | 0.2883 | 70.0 | 40460 | 0.4689 | 0.1987 |
123
- | 0.2893 | 71.0 | 41038 | 0.4661 | 0.1988 |
124
- | 0.3166 | 72.0 | 41616 | 0.4676 | 0.1993 |
125
- | 0.2811 | 73.0 | 42194 | 0.4670 | 0.1988 |
126
- | 0.2734 | 74.0 | 42772 | 0.4667 | 0.1991 |
127
- | 0.2786 | 75.0 | 43350 | 0.4685 | 0.1982 |
128
- | 0.2656 | 76.0 | 43928 | 0.4684 | 0.1981 |
129
- | 0.3256 | 77.0 | 44506 | 0.4685 | 0.1986 |
130
- | 0.2976 | 78.0 | 45084 | 0.4680 | 0.1977 |
131
- | 0.292 | 79.0 | 45662 | 0.4676 | 0.1971 |
132
- | 0.2998 | 80.0 | 46240 | 0.4673 | 0.1984 |
133
- | 0.2931 | 81.0 | 46818 | 0.4682 | 0.1990 |
134
- | 0.3054 | 82.0 | 47396 | 0.4680 | 0.1997 |
135
- | 0.3088 | 83.0 | 47974 | 0.4672 | 0.1982 |
136
- | 0.315 | 84.0 | 48552 | 0.4679 | 0.1974 |
137
- | 0.3334 | 85.0 | 49130 | 0.4670 | 0.1973 |
138
- | 0.2757 | 86.0 | 49708 | 0.4664 | 0.1980 |
139
- | 0.2928 | 87.0 | 50286 | 0.4670 | 0.1977 |
140
- | 0.2926 | 88.0 | 50864 | 0.4671 | 0.1982 |
141
- | 0.2866 | 89.0 | 51442 | 0.4667 | 0.1972 |
142
- | 0.2737 | 90.0 | 52020 | 0.4675 | 0.1973 |
143
- | 0.273 | 91.0 | 52598 | 0.4672 | 0.1985 |
144
- | 0.2936 | 92.0 | 53176 | 0.4672 | 0.1985 |
145
- | 0.2874 | 93.0 | 53754 | 0.4681 | 0.1980 |
146
- | 0.257 | 94.0 | 54332 | 0.4675 | 0.1978 |
147
- | 0.259 | 95.0 | 54910 | 0.4669 | 0.1980 |
148
- | 0.2689 | 96.0 | 55488 | 0.4670 | 0.1970 |
149
- | 0.2949 | 97.0 | 56066 | 0.4670 | 0.1978 |
150
- | 0.2977 | 98.0 | 56644 | 0.4668 | 0.1980 |
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- | 0.2511 | 99.0 | 57222 | 0.4669 | 0.1970 |
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- | 0.2598 | 100.0 | 57800 | 0.4671 | 0.1972 |
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  ### Framework versions
 
1
  ---
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  license: apache-2.0
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  tags:
 
 
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  - generated_from_trainer
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  model-index:
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  - name: ai-light-dance_singing3_ft_wav2vec2-large-xlsr-53-v1-5gram
 
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13
  # ai-light-dance_singing3_ft_wav2vec2-large-xlsr-53-v1-5gram
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+ This model is a fine-tuned version of [gary109/ai-light-dance_singing3_ft_wav2vec2-large-xlsr-53-v1-5gram](https://huggingface.co/gary109/ai-light-dance_singing3_ft_wav2vec2-large-xlsr-53-v1-5gram) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.4664
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+ - Wer: 0.1998
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  ## Model description
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  ### Training hyperparameters
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36
  The following hyperparameters were used during training:
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+ - learning_rate: 1e-06
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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: 4
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+ - total_train_batch_size: 32
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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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  | Training Loss | Epoch | Step | Validation Loss | Wer |
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  |:-------------:|:-----:|:-----:|:---------------:|:------:|
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+ | 0.341 | 1.0 | 144 | 0.4498 | 0.2114 |
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+ | 0.306 | 2.0 | 288 | 0.4533 | 0.2128 |
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+ | 0.3028 | 3.0 | 432 | 0.4555 | 0.2096 |
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+ | 0.2994 | 4.0 | 576 | 0.4597 | 0.2098 |
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+ | 0.3033 | 5.0 | 720 | 0.4625 | 0.2096 |
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+ | 0.2944 | 6.0 | 864 | 0.4617 | 0.2085 |
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+ | 0.2836 | 7.0 | 1008 | 0.4615 | 0.2081 |
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+ | 0.3034 | 8.0 | 1152 | 0.4636 | 0.2077 |
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+ | 0.2979 | 9.0 | 1296 | 0.4661 | 0.2083 |
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+ | 0.2967 | 10.0 | 1440 | 0.4644 | 0.2072 |
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+ | 0.2974 | 11.0 | 1584 | 0.4641 | 0.2077 |
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+ | 0.3053 | 12.0 | 1728 | 0.4654 | 0.2078 |
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+ | 0.2927 | 13.0 | 1872 | 0.4682 | 0.2071 |
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+ | 0.282 | 14.0 | 2016 | 0.4660 | 0.2066 |
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+ | 0.299 | 15.0 | 2160 | 0.4671 | 0.2072 |
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+ | 0.3152 | 16.0 | 2304 | 0.4653 | 0.2051 |
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+ | 0.288 | 17.0 | 2448 | 0.4656 | 0.2062 |
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+ | 0.303 | 18.0 | 2592 | 0.4702 | 0.2050 |
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+ | 0.2943 | 19.0 | 2736 | 0.4695 | 0.2069 |
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+ | 0.2735 | 20.0 | 2880 | 0.4715 | 0.2072 |
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+ | 0.3044 | 21.0 | 3024 | 0.4715 | 0.2049 |
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+ | 0.3019 | 22.0 | 3168 | 0.4655 | 0.2051 |
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+ | 0.303 | 23.0 | 3312 | 0.4669 | 0.2047 |
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+ | 0.2846 | 24.0 | 3456 | 0.4657 | 0.2047 |
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+ | 0.2982 | 25.0 | 3600 | 0.4666 | 0.2041 |
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+ | 0.3087 | 26.0 | 3744 | 0.4677 | 0.2031 |
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+ | 0.2954 | 27.0 | 3888 | 0.4670 | 0.2044 |
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+ | 0.2884 | 28.0 | 4032 | 0.4667 | 0.2046 |
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+ | 0.2979 | 29.0 | 4176 | 0.4691 | 0.2063 |
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+ | 0.298 | 30.0 | 4320 | 0.4648 | 0.2039 |
83
+ | 0.2963 | 31.0 | 4464 | 0.4648 | 0.2057 |
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+ | 0.3047 | 32.0 | 4608 | 0.4688 | 0.2052 |
85
+ | 0.3 | 33.0 | 4752 | 0.4698 | 0.2051 |
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+ | 0.2883 | 34.0 | 4896 | 0.4655 | 0.2042 |
87
+ | 0.2936 | 35.0 | 5040 | 0.4683 | 0.2043 |
88
+ | 0.2868 | 36.0 | 5184 | 0.4677 | 0.2046 |
89
+ | 0.2935 | 37.0 | 5328 | 0.4665 | 0.2046 |
90
+ | 0.2883 | 38.0 | 5472 | 0.4680 | 0.2022 |
91
+ | 0.296 | 39.0 | 5616 | 0.4685 | 0.2033 |
92
+ | 0.2967 | 40.0 | 5760 | 0.4663 | 0.2038 |
93
+ | 0.2909 | 41.0 | 5904 | 0.4634 | 0.2046 |
94
+ | 0.2834 | 42.0 | 6048 | 0.4636 | 0.2042 |
95
+ | 0.2904 | 43.0 | 6192 | 0.4700 | 0.2038 |
96
+ | 0.3006 | 44.0 | 6336 | 0.4670 | 0.2029 |
97
+ | 0.281 | 45.0 | 6480 | 0.4705 | 0.2030 |
98
+ | 0.2964 | 46.0 | 6624 | 0.4704 | 0.2016 |
99
+ | 0.2914 | 47.0 | 6768 | 0.4644 | 0.2013 |
100
+ | 0.2948 | 48.0 | 6912 | 0.4693 | 0.2027 |
101
+ | 0.2904 | 49.0 | 7056 | 0.4687 | 0.2015 |
102
+ | 0.2875 | 50.0 | 7200 | 0.4730 | 0.2017 |
103
+ | 0.2889 | 51.0 | 7344 | 0.4693 | 0.2011 |
104
+ | 0.2829 | 52.0 | 7488 | 0.4681 | 0.2011 |
105
+ | 0.296 | 53.0 | 7632 | 0.4675 | 0.2002 |
106
+ | 0.3022 | 54.0 | 7776 | 0.4720 | 0.2008 |
107
+ | 0.2813 | 55.0 | 7920 | 0.4702 | 0.2019 |
108
+ | 0.2988 | 56.0 | 8064 | 0.4706 | 0.2027 |
109
+ | 0.2942 | 57.0 | 8208 | 0.4718 | 0.2025 |
110
+ | 0.2899 | 58.0 | 8352 | 0.4729 | 0.2008 |
111
+ | 0.2844 | 59.0 | 8496 | 0.4744 | 0.2006 |
112
+ | 0.2749 | 60.0 | 8640 | 0.4720 | 0.2011 |
113
+ | 0.2835 | 61.0 | 8784 | 0.4718 | 0.2017 |
114
+ | 0.2908 | 62.0 | 8928 | 0.4702 | 0.2014 |
115
+ | 0.2834 | 63.0 | 9072 | 0.4699 | 0.2022 |
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+ | 0.3023 | 64.0 | 9216 | 0.4667 | 0.2010 |
117
+ | 0.2814 | 65.0 | 9360 | 0.4657 | 0.2007 |
118
+ | 0.2775 | 66.0 | 9504 | 0.4680 | 0.2015 |
119
+ | 0.2991 | 67.0 | 9648 | 0.4656 | 0.2016 |
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+ | 0.2952 | 68.0 | 9792 | 0.4685 | 0.2008 |
121
+ | 0.2874 | 69.0 | 9936 | 0.4686 | 0.2013 |
122
+ | 0.2951 | 70.0 | 10080 | 0.4693 | 0.2011 |
123
+ | 0.2952 | 71.0 | 10224 | 0.4699 | 0.2004 |
124
+ | 0.2986 | 72.0 | 10368 | 0.4711 | 0.2011 |
125
+ | 0.2858 | 73.0 | 10512 | 0.4660 | 0.2008 |
126
+ | 0.3033 | 74.0 | 10656 | 0.4656 | 0.2004 |
127
+ | 0.2791 | 75.0 | 10800 | 0.4654 | 0.2011 |
128
+ | 0.2971 | 76.0 | 10944 | 0.4645 | 0.2006 |
129
+ | 0.2816 | 77.0 | 11088 | 0.4645 | 0.2006 |
130
+ | 0.274 | 78.0 | 11232 | 0.4652 | 0.2001 |
131
+ | 0.2924 | 79.0 | 11376 | 0.4655 | 0.2007 |
132
+ | 0.299 | 80.0 | 11520 | 0.4642 | 0.2004 |
133
+ | 0.3009 | 81.0 | 11664 | 0.4652 | 0.1998 |
134
+ | 0.281 | 82.0 | 11808 | 0.4691 | 0.2009 |
135
+ | 0.2969 | 83.0 | 11952 | 0.4695 | 0.2002 |
136
+ | 0.2896 | 84.0 | 12096 | 0.4694 | 0.2005 |
137
+ | 0.2918 | 85.0 | 12240 | 0.4701 | 0.2003 |
138
+ | 0.2897 | 86.0 | 12384 | 0.4702 | 0.2000 |
139
+ | 0.2968 | 87.0 | 12528 | 0.4702 | 0.2004 |
140
+ | 0.2992 | 88.0 | 12672 | 0.4689 | 0.2013 |
141
+ | 0.2813 | 89.0 | 12816 | 0.4691 | 0.2009 |
142
+ | 0.283 | 90.0 | 12960 | 0.4696 | 0.1999 |
143
+ | 0.2915 | 91.0 | 13104 | 0.4692 | 0.2007 |
144
+ | 0.2867 | 92.0 | 13248 | 0.4677 | 0.2011 |
145
+ | 0.2922 | 93.0 | 13392 | 0.4678 | 0.1998 |
146
+ | 0.2846 | 94.0 | 13536 | 0.4663 | 0.2008 |
147
+ | 0.2867 | 95.0 | 13680 | 0.4657 | 0.1996 |
148
+ | 0.2912 | 96.0 | 13824 | 0.4660 | 0.1998 |
149
+ | 0.2752 | 97.0 | 13968 | 0.4658 | 0.2001 |
150
+ | 0.2914 | 98.0 | 14112 | 0.4661 | 0.2010 |
151
+ | 0.2826 | 99.0 | 14256 | 0.4655 | 0.2003 |
152
+ | 0.2839 | 100.0 | 14400 | 0.4664 | 0.1998 |
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  ### Framework versions