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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 |
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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_singing3_ft_wav2vec2-large-xlsr-53 |
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This model is a fine-tuned version of [gary109/ai-light-dance_singing3_ft_wav2vec2-large-xlsr-53](https://huggingface.co/gary109/ai-light-dance_singing3_ft_wav2vec2-large-xlsr-53) 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: 0.8797 |
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- Wer: 0.5513 |
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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: 5e-06 |
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- train_batch_size: 2 |
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- eval_batch_size: 2 |
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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 |
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- num_epochs: 30.0 |
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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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| 0.9613 | 1.0 | 2309 | 1.0171 | 0.7271 | |
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| 0.8254 | 2.0 | 4618 | 0.9771 | 0.6650 | |
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| 0.7406 | 3.0 | 6927 | 0.9174 | 0.6420 | |
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| 0.74 | 4.0 | 9236 | 0.9551 | 0.6371 | |
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| 0.5855 | 5.0 | 11545 | 0.9262 | 0.6453 | |
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| 0.5536 | 6.0 | 13854 | 0.9056 | 0.5894 | |
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| 0.505 | 7.0 | 16163 | 0.9166 | 0.6029 | |
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| 0.449 | 8.0 | 18472 | 0.8816 | 0.5873 | |
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| 0.4219 | 9.0 | 20781 | 0.8970 | 0.5589 | |
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| 0.5764 | 10.0 | 23090 | 0.9189 | 0.5649 | |
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| 0.5075 | 11.0 | 25399 | 0.8797 | 0.5513 | |
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| 0.4366 | 12.0 | 27708 | 0.9011 | 0.5567 | |
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| 0.4915 | 13.0 | 30017 | 0.9248 | 0.5455 | |
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| 0.3554 | 14.0 | 32326 | 0.9309 | 0.5374 | |
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| 0.3975 | 15.0 | 34635 | 0.9103 | 0.5259 | |
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| 0.4119 | 16.0 | 36944 | 0.9402 | 0.5290 | |
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| 0.267 | 17.0 | 39253 | 0.9479 | 0.5115 | |
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| 0.3107 | 18.0 | 41562 | 0.9428 | 0.5099 | |
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| 0.2684 | 19.0 | 43871 | 0.9508 | 0.5133 | |
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| 0.2125 | 20.0 | 46180 | 0.9737 | 0.5097 | |
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| 0.3149 | 21.0 | 48489 | 0.9992 | 0.5095 | |
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| 0.2313 | 22.0 | 50798 | 1.0037 | 0.5059 | |
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| 0.2674 | 23.0 | 53107 | 1.0091 | 0.5040 | |
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| 0.2056 | 24.0 | 55416 | 1.0082 | 0.5076 | |
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| 0.2781 | 25.0 | 57725 | 1.0160 | 0.5015 | |
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| 0.2005 | 26.0 | 60034 | 1.0390 | 0.5131 | |
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| 0.2221 | 27.0 | 62343 | 1.0401 | 0.5074 | |
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| 0.1857 | 28.0 | 64652 | 1.0484 | 0.5096 | |
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| 0.1562 | 29.0 | 66961 | 1.0516 | 0.5064 | |
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| 0.3027 | 30.0 | 69270 | 1.0543 | 0.5049 | |
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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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