update model card README.md
Browse files
README.md
CHANGED
|
@@ -1,8 +1,6 @@
|
|
| 1 |
---
|
| 2 |
license: apache-2.0
|
| 3 |
tags:
|
| 4 |
-
- automatic-speech-recognition
|
| 5 |
-
- gary109/AI_Light_Dance
|
| 6 |
- generated_from_trainer
|
| 7 |
model-index:
|
| 8 |
- 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. -->
|
|
| 14 |
|
| 15 |
# ai-light-dance_singing3_ft_wav2vec2-large-xlsr-53-v1-5gram
|
| 16 |
|
| 17 |
-
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
|
| 18 |
It achieves the following results on the evaluation set:
|
| 19 |
-
- Loss: 0.
|
| 20 |
-
- Wer: 0.
|
| 21 |
|
| 22 |
## Model description
|
| 23 |
|
|
@@ -36,12 +34,12 @@ More information needed
|
|
| 36 |
### Training hyperparameters
|
| 37 |
|
| 38 |
The following hyperparameters were used during training:
|
| 39 |
-
- learning_rate:
|
| 40 |
-
- train_batch_size:
|
| 41 |
-
- eval_batch_size:
|
| 42 |
- seed: 42
|
| 43 |
-
- gradient_accumulation_steps:
|
| 44 |
-
- total_train_batch_size:
|
| 45 |
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
| 46 |
- lr_scheduler_type: linear
|
| 47 |
- lr_scheduler_warmup_steps: 500
|
|
@@ -50,108 +48,108 @@ The following hyperparameters were used during training:
|
|
| 50 |
|
| 51 |
### Training results
|
| 52 |
|
| 53 |
-
| Training Loss | Epoch | Step
|
| 54 |
-
|
| 55 |
-
| 0.
|
| 56 |
-
| 0.
|
| 57 |
-
| 0.
|
| 58 |
-
| 0.
|
| 59 |
-
| 0.
|
| 60 |
-
| 0.
|
| 61 |
-
| 0.
|
| 62 |
-
| 0.
|
| 63 |
-
| 0.
|
| 64 |
-
| 0.
|
| 65 |
-
| 0.
|
| 66 |
-
| 0.
|
| 67 |
-
| 0.
|
| 68 |
-
| 0.
|
| 69 |
-
| 0.
|
| 70 |
-
| 0.
|
| 71 |
-
| 0.
|
| 72 |
-
| 0.
|
| 73 |
-
| 0.
|
| 74 |
-
| 0.
|
| 75 |
-
| 0.
|
| 76 |
-
| 0.
|
| 77 |
-
| 0.
|
| 78 |
-
| 0.
|
| 79 |
-
| 0.
|
| 80 |
-
| 0.
|
| 81 |
-
| 0.
|
| 82 |
-
| 0.
|
| 83 |
-
| 0.
|
| 84 |
-
| 0.
|
| 85 |
-
| 0.
|
| 86 |
-
| 0.
|
| 87 |
-
| 0.
|
| 88 |
-
| 0.
|
| 89 |
-
| 0.
|
| 90 |
-
| 0.
|
| 91 |
-
| 0.
|
| 92 |
-
| 0.
|
| 93 |
-
| 0.
|
| 94 |
-
| 0.
|
| 95 |
-
| 0.
|
| 96 |
-
| 0.
|
| 97 |
-
| 0.
|
| 98 |
-
| 0.
|
| 99 |
-
| 0.
|
| 100 |
-
| 0.
|
| 101 |
-
| 0.
|
| 102 |
-
| 0.
|
| 103 |
-
| 0.
|
| 104 |
-
| 0.
|
| 105 |
-
| 0.
|
| 106 |
-
| 0.
|
| 107 |
-
| 0.
|
| 108 |
-
| 0.
|
| 109 |
-
| 0.
|
| 110 |
-
| 0.
|
| 111 |
-
| 0.
|
| 112 |
-
| 0.
|
| 113 |
-
| 0.
|
| 114 |
-
| 0.
|
| 115 |
-
| 0.
|
| 116 |
-
| 0.
|
| 117 |
-
| 0.
|
| 118 |
-
| 0.
|
| 119 |
-
| 0.
|
| 120 |
-
| 0.
|
| 121 |
-
| 0.
|
| 122 |
-
| 0.
|
| 123 |
-
| 0.
|
| 124 |
-
| 0.
|
| 125 |
-
| 0.
|
| 126 |
-
| 0.
|
| 127 |
-
| 0.
|
| 128 |
-
| 0.
|
| 129 |
-
| 0.
|
| 130 |
-
| 0.
|
| 131 |
-
| 0.
|
| 132 |
-
| 0.
|
| 133 |
-
| 0.
|
| 134 |
-
| 0.
|
| 135 |
-
| 0.
|
| 136 |
-
| 0.
|
| 137 |
-
| 0.
|
| 138 |
-
| 0.
|
| 139 |
-
| 0.
|
| 140 |
-
| 0.
|
| 141 |
-
| 0.
|
| 142 |
-
| 0.
|
| 143 |
-
| 0.
|
| 144 |
-
| 0.
|
| 145 |
-
| 0.
|
| 146 |
-
| 0.
|
| 147 |
-
| 0.
|
| 148 |
-
| 0.
|
| 149 |
-
| 0.
|
| 150 |
-
| 0.
|
| 151 |
-
| 0.
|
| 152 |
-
| 0.
|
| 153 |
-
| 0.
|
| 154 |
-
| 0.
|
| 155 |
|
| 156 |
|
| 157 |
### Framework versions
|
|
|
|
| 1 |
---
|
| 2 |
license: apache-2.0
|
| 3 |
tags:
|
|
|
|
|
|
|
| 4 |
- generated_from_trainer
|
| 5 |
model-index:
|
| 6 |
- name: ai-light-dance_singing3_ft_wav2vec2-large-xlsr-53-v1-5gram
|
|
|
|
| 12 |
|
| 13 |
# ai-light-dance_singing3_ft_wav2vec2-large-xlsr-53-v1-5gram
|
| 14 |
|
| 15 |
+
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.
|
| 16 |
It achieves the following results on the evaluation set:
|
| 17 |
+
- Loss: 0.5111
|
| 18 |
+
- Wer: 0.1961
|
| 19 |
|
| 20 |
## Model description
|
| 21 |
|
|
|
|
| 34 |
### Training hyperparameters
|
| 35 |
|
| 36 |
The following hyperparameters were used during training:
|
| 37 |
+
- learning_rate: 4e-06
|
| 38 |
+
- train_batch_size: 4
|
| 39 |
+
- eval_batch_size: 4
|
| 40 |
- seed: 42
|
| 41 |
+
- gradient_accumulation_steps: 4
|
| 42 |
+
- total_train_batch_size: 16
|
| 43 |
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
| 44 |
- lr_scheduler_type: linear
|
| 45 |
- lr_scheduler_warmup_steps: 500
|
|
|
|
| 48 |
|
| 49 |
### Training results
|
| 50 |
|
| 51 |
+
| Training Loss | Epoch | Step | Validation Loss | Wer |
|
| 52 |
+
|:-------------:|:-----:|:-----:|:---------------:|:------:|
|
| 53 |
+
| 0.3028 | 1.0 | 288 | 0.4693 | 0.2046 |
|
| 54 |
+
| 0.2986 | 2.0 | 576 | 0.4828 | 0.2058 |
|
| 55 |
+
| 0.297 | 3.0 | 864 | 0.5020 | 0.2038 |
|
| 56 |
+
| 0.2863 | 4.0 | 1152 | 0.5216 | 0.2020 |
|
| 57 |
+
| 0.3036 | 5.0 | 1440 | 0.4963 | 0.2008 |
|
| 58 |
+
| 0.3141 | 6.0 | 1728 | 0.5005 | 0.2020 |
|
| 59 |
+
| 0.2898 | 7.0 | 2016 | 0.4962 | 0.2029 |
|
| 60 |
+
| 0.2922 | 8.0 | 2304 | 0.5073 | 0.2031 |
|
| 61 |
+
| 0.266 | 9.0 | 2592 | 0.5159 | 0.2024 |
|
| 62 |
+
| 0.2817 | 10.0 | 2880 | 0.5238 | 0.2011 |
|
| 63 |
+
| 0.2922 | 11.0 | 3168 | 0.5080 | 0.2011 |
|
| 64 |
+
| 0.2869 | 12.0 | 3456 | 0.4974 | 0.2027 |
|
| 65 |
+
| 0.284 | 13.0 | 3744 | 0.5104 | 0.2006 |
|
| 66 |
+
| 0.2911 | 14.0 | 4032 | 0.5026 | 0.2017 |
|
| 67 |
+
| 0.2864 | 15.0 | 4320 | 0.5065 | 0.2002 |
|
| 68 |
+
| 0.2779 | 16.0 | 4608 | 0.5024 | 0.2010 |
|
| 69 |
+
| 0.2766 | 17.0 | 4896 | 0.5078 | 0.1998 |
|
| 70 |
+
| 0.2872 | 18.0 | 5184 | 0.5114 | 0.1981 |
|
| 71 |
+
| 0.268 | 19.0 | 5472 | 0.5078 | 0.1980 |
|
| 72 |
+
| 0.2631 | 20.0 | 5760 | 0.5262 | 0.2021 |
|
| 73 |
+
| 0.2753 | 21.0 | 6048 | 0.5161 | 0.1991 |
|
| 74 |
+
| 0.2797 | 22.0 | 6336 | 0.5097 | 0.2009 |
|
| 75 |
+
| 0.2667 | 23.0 | 6624 | 0.5131 | 0.1995 |
|
| 76 |
+
| 0.2722 | 24.0 | 6912 | 0.5098 | 0.1990 |
|
| 77 |
+
| 0.3026 | 25.0 | 7200 | 0.5193 | 0.2006 |
|
| 78 |
+
| 0.2888 | 26.0 | 7488 | 0.4987 | 0.1986 |
|
| 79 |
+
| 0.2732 | 27.0 | 7776 | 0.5063 | 0.2007 |
|
| 80 |
+
| 0.2567 | 28.0 | 8064 | 0.5103 | 0.2015 |
|
| 81 |
+
| 0.2845 | 29.0 | 8352 | 0.5084 | 0.2020 |
|
| 82 |
+
| 0.2591 | 30.0 | 8640 | 0.5109 | 0.1989 |
|
| 83 |
+
| 0.2777 | 31.0 | 8928 | 0.5179 | 0.1994 |
|
| 84 |
+
| 0.2784 | 32.0 | 9216 | 0.5183 | 0.1989 |
|
| 85 |
+
| 0.2801 | 33.0 | 9504 | 0.5222 | 0.2003 |
|
| 86 |
+
| 0.2554 | 34.0 | 9792 | 0.5137 | 0.1990 |
|
| 87 |
+
| 0.2708 | 35.0 | 10080 | 0.5094 | 0.1964 |
|
| 88 |
+
| 0.27 | 36.0 | 10368 | 0.5076 | 0.1980 |
|
| 89 |
+
| 0.2706 | 37.0 | 10656 | 0.5179 | 0.1983 |
|
| 90 |
+
| 0.2791 | 38.0 | 10944 | 0.5154 | 0.1976 |
|
| 91 |
+
| 0.3148 | 39.0 | 11232 | 0.5082 | 0.1990 |
|
| 92 |
+
| 0.2834 | 40.0 | 11520 | 0.5107 | 0.1980 |
|
| 93 |
+
| 0.2739 | 41.0 | 11808 | 0.5009 | 0.1990 |
|
| 94 |
+
| 0.2687 | 42.0 | 12096 | 0.5232 | 0.2011 |
|
| 95 |
+
| 0.2696 | 43.0 | 12384 | 0.5108 | 0.1986 |
|
| 96 |
+
| 0.2729 | 44.0 | 12672 | 0.5159 | 0.1991 |
|
| 97 |
+
| 0.2579 | 45.0 | 12960 | 0.5162 | 0.1991 |
|
| 98 |
+
| 0.283 | 46.0 | 13248 | 0.5032 | 0.1982 |
|
| 99 |
+
| 0.282 | 47.0 | 13536 | 0.5107 | 0.1980 |
|
| 100 |
+
| 0.2708 | 48.0 | 13824 | 0.5128 | 0.1982 |
|
| 101 |
+
| 0.2562 | 49.0 | 14112 | 0.5163 | 0.1991 |
|
| 102 |
+
| 0.2675 | 50.0 | 14400 | 0.5062 | 0.1994 |
|
| 103 |
+
| 0.285 | 51.0 | 14688 | 0.4999 | 0.1988 |
|
| 104 |
+
| 0.2756 | 52.0 | 14976 | 0.5030 | 0.1986 |
|
| 105 |
+
| 0.2888 | 53.0 | 15264 | 0.5043 | 0.1975 |
|
| 106 |
+
| 0.2778 | 54.0 | 15552 | 0.5111 | 0.1980 |
|
| 107 |
+
| 0.2707 | 55.0 | 15840 | 0.5117 | 0.1995 |
|
| 108 |
+
| 0.2566 | 56.0 | 16128 | 0.5197 | 0.2002 |
|
| 109 |
+
| 0.2517 | 57.0 | 16416 | 0.5211 | 0.1977 |
|
| 110 |
+
| 0.2629 | 58.0 | 16704 | 0.5080 | 0.1986 |
|
| 111 |
+
| 0.2787 | 59.0 | 16992 | 0.5133 | 0.1980 |
|
| 112 |
+
| 0.269 | 60.0 | 17280 | 0.5156 | 0.1973 |
|
| 113 |
+
| 0.2664 | 61.0 | 17568 | 0.5192 | 0.1949 |
|
| 114 |
+
| 0.2605 | 62.0 | 17856 | 0.5095 | 0.1970 |
|
| 115 |
+
| 0.2649 | 63.0 | 18144 | 0.5149 | 0.1970 |
|
| 116 |
+
| 0.246 | 64.0 | 18432 | 0.5165 | 0.1975 |
|
| 117 |
+
| 0.2567 | 65.0 | 18720 | 0.5072 | 0.1981 |
|
| 118 |
+
| 0.2509 | 66.0 | 19008 | 0.5061 | 0.1978 |
|
| 119 |
+
| 0.289 | 67.0 | 19296 | 0.5087 | 0.1957 |
|
| 120 |
+
| 0.2511 | 68.0 | 19584 | 0.5168 | 0.1982 |
|
| 121 |
+
| 0.2623 | 69.0 | 19872 | 0.5110 | 0.1959 |
|
| 122 |
+
| 0.2762 | 70.0 | 20160 | 0.5123 | 0.1959 |
|
| 123 |
+
| 0.2704 | 71.0 | 20448 | 0.5118 | 0.1966 |
|
| 124 |
+
| 0.2854 | 72.0 | 20736 | 0.5128 | 0.1949 |
|
| 125 |
+
| 0.2602 | 73.0 | 21024 | 0.5094 | 0.1966 |
|
| 126 |
+
| 0.2675 | 74.0 | 21312 | 0.5058 | 0.1961 |
|
| 127 |
+
| 0.2519 | 75.0 | 21600 | 0.5216 | 0.1988 |
|
| 128 |
+
| 0.2666 | 76.0 | 21888 | 0.5117 | 0.1959 |
|
| 129 |
+
| 0.2637 | 77.0 | 22176 | 0.5058 | 0.1957 |
|
| 130 |
+
| 0.273 | 78.0 | 22464 | 0.5187 | 0.1966 |
|
| 131 |
+
| 0.2666 | 79.0 | 22752 | 0.5176 | 0.1958 |
|
| 132 |
+
| 0.2627 | 80.0 | 23040 | 0.5142 | 0.1950 |
|
| 133 |
+
| 0.2508 | 81.0 | 23328 | 0.5158 | 0.1961 |
|
| 134 |
+
| 0.2499 | 82.0 | 23616 | 0.5131 | 0.1970 |
|
| 135 |
+
| 0.2583 | 83.0 | 23904 | 0.5150 | 0.1975 |
|
| 136 |
+
| 0.246 | 84.0 | 24192 | 0.5097 | 0.1962 |
|
| 137 |
+
| 0.272 | 85.0 | 24480 | 0.5043 | 0.1950 |
|
| 138 |
+
| 0.2601 | 86.0 | 24768 | 0.5091 | 0.1961 |
|
| 139 |
+
| 0.2719 | 87.0 | 25056 | 0.5087 | 0.1975 |
|
| 140 |
+
| 0.269 | 88.0 | 25344 | 0.5126 | 0.1966 |
|
| 141 |
+
| 0.2863 | 89.0 | 25632 | 0.5174 | 0.1966 |
|
| 142 |
+
| 0.2581 | 90.0 | 25920 | 0.5159 | 0.1969 |
|
| 143 |
+
| 0.26 | 91.0 | 26208 | 0.5146 | 0.1969 |
|
| 144 |
+
| 0.2796 | 92.0 | 26496 | 0.5150 | 0.1966 |
|
| 145 |
+
| 0.2723 | 93.0 | 26784 | 0.5133 | 0.1971 |
|
| 146 |
+
| 0.249 | 94.0 | 27072 | 0.5096 | 0.1961 |
|
| 147 |
+
| 0.266 | 95.0 | 27360 | 0.5116 | 0.1964 |
|
| 148 |
+
| 0.2683 | 96.0 | 27648 | 0.5133 | 0.1967 |
|
| 149 |
+
| 0.2451 | 97.0 | 27936 | 0.5141 | 0.1965 |
|
| 150 |
+
| 0.2723 | 98.0 | 28224 | 0.5123 | 0.1962 |
|
| 151 |
+
| 0.2527 | 99.0 | 28512 | 0.5120 | 0.1966 |
|
| 152 |
+
| 0.2604 | 100.0 | 28800 | 0.5111 | 0.1961 |
|
| 153 |
|
| 154 |
|
| 155 |
### Framework versions
|