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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
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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
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It achieves the following results on the evaluation set:
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- Loss: 0.
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- Wer: 0.
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## Model description
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 5e-
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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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| Training Loss | Epoch | Step | Validation Loss | Wer |
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### Framework versions
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---
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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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# 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: 0.4662
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- Wer: 0.2112
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## Model description
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 2.5e-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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| Training Loss | Epoch | Step | Validation Loss | Wer |
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|:-------------:|:-----:|:----:|:---------------:|:------:|
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| 0.4856 | 1.0 | 72 | 0.4509 | 0.2229 |
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| 0.4633 | 2.0 | 144 | 0.4625 | 0.2243 |
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| 0.447 | 3.0 | 216 | 0.4640 | 0.2274 |
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| 0.4287 | 4.0 | 288 | 0.4674 | 0.2241 |
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| 0.4372 | 5.0 | 360 | 0.4730 | 0.2239 |
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| 0.4408 | 6.0 | 432 | 0.4638 | 0.2247 |
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| 0.4203 | 7.0 | 504 | 0.4739 | 0.2216 |
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| 0.4686 | 8.0 | 576 | 0.4645 | 0.2202 |
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| 0.4455 | 9.0 | 648 | 0.4678 | 0.2218 |
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| 0.4562 | 10.0 | 720 | 0.4630 | 0.2205 |
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| 0.4497 | 11.0 | 792 | 0.4613 | 0.2227 |
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| 0.4613 | 12.0 | 864 | 0.4694 | 0.2209 |
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| 0.4528 | 13.0 | 936 | 0.4625 | 0.2182 |
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| 0.4437 | 14.0 | 1008 | 0.4580 | 0.2191 |
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| 0.465 | 15.0 | 1080 | 0.4669 | 0.2173 |
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| 0.4431 | 16.0 | 1152 | 0.4651 | 0.2191 |
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| 0.4413 | 17.0 | 1224 | 0.4680 | 0.2177 |
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| 0.4428 | 18.0 | 1296 | 0.4663 | 0.2164 |
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| 0.4447 | 19.0 | 1368 | 0.4659 | 0.2184 |
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| 0.4384 | 20.0 | 1440 | 0.4651 | 0.2220 |
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| 0.4635 | 21.0 | 1512 | 0.4639 | 0.2207 |
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| 0.4573 | 22.0 | 1584 | 0.4632 | 0.2182 |
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| 0.4437 | 23.0 | 1656 | 0.4711 | 0.2180 |
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| 0.4401 | 24.0 | 1728 | 0.4636 | 0.2173 |
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| 0.4366 | 25.0 | 1800 | 0.4717 | 0.2178 |
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| 0.4443 | 26.0 | 1872 | 0.4685 | 0.2153 |
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| 0.4425 | 27.0 | 1944 | 0.4654 | 0.2150 |
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| 0.4412 | 28.0 | 2016 | 0.4667 | 0.2114 |
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| 0.4347 | 29.0 | 2088 | 0.4679 | 0.2155 |
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| 0.4473 | 30.0 | 2160 | 0.4663 | 0.2157 |
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| 0.4368 | 31.0 | 2232 | 0.4661 | 0.2166 |
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| 0.4411 | 32.0 | 2304 | 0.4672 | 0.2148 |
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| 0.4243 | 33.0 | 2376 | 0.4630 | 0.2157 |
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| 0.425 | 34.0 | 2448 | 0.4609 | 0.2142 |
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| 0.4375 | 35.0 | 2520 | 0.4585 | 0.2141 |
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| 0.4347 | 36.0 | 2592 | 0.4624 | 0.2146 |
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| 0.4443 | 37.0 | 2664 | 0.4611 | 0.2150 |
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| 0.4298 | 38.0 | 2736 | 0.4676 | 0.2151 |
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| 0.4296 | 39.0 | 2808 | 0.4737 | 0.2137 |
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| 0.4432 | 40.0 | 2880 | 0.4659 | 0.2130 |
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| 0.4387 | 41.0 | 2952 | 0.4651 | 0.2115 |
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| 0.428 | 42.0 | 3024 | 0.4681 | 0.2139 |
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| 0.4391 | 43.0 | 3096 | 0.4670 | 0.2146 |
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| 0.4375 | 44.0 | 3168 | 0.4657 | 0.2128 |
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| 0.44 | 45.0 | 3240 | 0.4644 | 0.2135 |
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| 0.4475 | 46.0 | 3312 | 0.4652 | 0.2131 |
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| 0.4317 | 47.0 | 3384 | 0.4654 | 0.2136 |
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| 0.4269 | 48.0 | 3456 | 0.4670 | 0.2150 |
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| 0.4187 | 49.0 | 3528 | 0.4670 | 0.2140 |
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| 0.4344 | 50.0 | 3600 | 0.4687 | 0.2135 |
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| 0.4379 | 51.0 | 3672 | 0.4702 | 0.2146 |
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| 0.4336 | 52.0 | 3744 | 0.4677 | 0.2114 |
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| 0.4334 | 53.0 | 3816 | 0.4648 | 0.2118 |
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| 0.4144 | 54.0 | 3888 | 0.4685 | 0.2136 |
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| 0.4318 | 55.0 | 3960 | 0.4658 | 0.2150 |
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| 0.4516 | 56.0 | 4032 | 0.4643 | 0.2144 |
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| 0.4337 | 57.0 | 4104 | 0.4673 | 0.2137 |
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| 0.4278 | 58.0 | 4176 | 0.4674 | 0.2148 |
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| 0.4302 | 59.0 | 4248 | 0.4673 | 0.2143 |
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| 0.4296 | 60.0 | 4320 | 0.4670 | 0.2123 |
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| 0.4303 | 61.0 | 4392 | 0.4677 | 0.2110 |
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| 0.4359 | 62.0 | 4464 | 0.4705 | 0.2117 |
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| 0.4343 | 63.0 | 4536 | 0.4697 | 0.2119 |
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| 0.4264 | 64.0 | 4608 | 0.4704 | 0.2132 |
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| 0.4266 | 65.0 | 4680 | 0.4653 | 0.2117 |
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| 0.4135 | 66.0 | 4752 | 0.4654 | 0.2092 |
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| 0.4352 | 67.0 | 4824 | 0.4690 | 0.2119 |
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| 0.4316 | 68.0 | 4896 | 0.4719 | 0.2108 |
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| 0.4308 | 69.0 | 4968 | 0.4697 | 0.2103 |
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| 0.44 | 70.0 | 5040 | 0.4697 | 0.2132 |
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| 0.4321 | 71.0 | 5112 | 0.4680 | 0.2105 |
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| 0.4329 | 72.0 | 5184 | 0.4653 | 0.2105 |
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| 0.4298 | 73.0 | 5256 | 0.4646 | 0.2114 |
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| 0.4233 | 74.0 | 5328 | 0.4651 | 0.2109 |
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| 0.4339 | 75.0 | 5400 | 0.4643 | 0.2113 |
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| 0.4289 | 76.0 | 5472 | 0.4664 | 0.2109 |
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| 0.436 | 77.0 | 5544 | 0.4682 | 0.2113 |
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| 0.4359 | 78.0 | 5616 | 0.4647 | 0.2112 |
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| 0.4317 | 79.0 | 5688 | 0.4678 | 0.2100 |
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| 0.4379 | 80.0 | 5760 | 0.4635 | 0.2099 |
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| 0.4348 | 81.0 | 5832 | 0.4664 | 0.2103 |
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| 0.4296 | 82.0 | 5904 | 0.4696 | 0.2102 |
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| 0.4278 | 83.0 | 5976 | 0.4653 | 0.2103 |
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| 0.4326 | 84.0 | 6048 | 0.4672 | 0.2099 |
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| 0.4342 | 85.0 | 6120 | 0.4672 | 0.2106 |
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| 0.4285 | 86.0 | 6192 | 0.4684 | 0.2114 |
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| 0.4344 | 87.0 | 6264 | 0.4680 | 0.2116 |
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| 0.4374 | 88.0 | 6336 | 0.4673 | 0.2105 |
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| 0.4253 | 89.0 | 6408 | 0.4659 | 0.2114 |
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| 0.4454 | 90.0 | 6480 | 0.4656 | 0.2111 |
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| 0.4405 | 91.0 | 6552 | 0.4657 | 0.2114 |
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| 0.4327 | 92.0 | 6624 | 0.4649 | 0.2093 |
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| 0.4361 | 93.0 | 6696 | 0.4666 | 0.2096 |
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| 0.4186 | 94.0 | 6768 | 0.4661 | 0.2096 |
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| 0.4325 | 95.0 | 6840 | 0.4653 | 0.2101 |
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| 0.44 | 96.0 | 6912 | 0.4656 | 0.2100 |
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| 0.4445 | 97.0 | 6984 | 0.4654 | 0.2094 |
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| 0.4442 | 98.0 | 7056 | 0.4657 | 0.2094 |
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| 0.4203 | 99.0 | 7128 | 0.4661 | 0.2098 |
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| 0.4322 | 100.0 | 7200 | 0.4662 | 0.2112 |
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### Framework versions
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