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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_singing2_ft_wav2vec2-large-xlsr-53-v1 |
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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_singing2_ft_wav2vec2-large-xlsr-53-v1 |
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This model is a fine-tuned version of [gary109/ai-light-dance_singing2_ft_wav2vec2-large-xlsr-53](https://huggingface.co/gary109/ai-light-dance_singing2_ft_wav2vec2-large-xlsr-53) on the GARY109/AI_LIGHT_DANCE - ONSET-SINGING2 dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.5760 |
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- Wer: 0.2905 |
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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: 4e-05 |
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- train_batch_size: 10 |
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- eval_batch_size: 10 |
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- seed: 42 |
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- gradient_accumulation_steps: 16 |
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- total_train_batch_size: 160 |
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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: 40.0 |
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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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| 1.656 | 1.0 | 112 | 1.7625 | 0.9265 | |
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| 1.3693 | 2.0 | 224 | 1.5135 | 0.9243 | |
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| 1.2172 | 3.0 | 336 | 1.2657 | 0.8533 | |
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| 1.0456 | 4.0 | 448 | 1.0893 | 0.7691 | |
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| 0.9385 | 5.0 | 560 | 1.0110 | 0.7097 | |
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| 0.8165 | 6.0 | 672 | 0.9243 | 0.6682 | |
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| 0.7491 | 7.0 | 784 | 0.8948 | 0.6583 | |
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| 0.6772 | 8.0 | 896 | 0.7894 | 0.6007 | |
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| 0.6096 | 9.0 | 1008 | 0.7684 | 0.5663 | |
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| 0.5714 | 10.0 | 1120 | 0.6978 | 0.4826 | |
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| 0.5213 | 11.0 | 1232 | 0.8433 | 0.4927 | |
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| 0.4624 | 12.0 | 1344 | 0.6695 | 0.4469 | |
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| 0.4298 | 13.0 | 1456 | 0.6569 | 0.3868 | |
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| 0.3939 | 14.0 | 1568 | 0.6633 | 0.3694 | |
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| 0.3803 | 15.0 | 1680 | 0.6376 | 0.3920 | |
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| 0.3415 | 16.0 | 1792 | 0.6463 | 0.3414 | |
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| 0.3239 | 17.0 | 1904 | 0.5841 | 0.3197 | |
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| 0.2946 | 18.0 | 2016 | 0.5948 | 0.3112 | |
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| 0.2751 | 19.0 | 2128 | 0.5760 | 0.2905 | |
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| 0.2834 | 20.0 | 2240 | 0.5884 | 0.2975 | |
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| 0.2383 | 21.0 | 2352 | 0.5989 | 0.2775 | |
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| 0.2265 | 22.0 | 2464 | 0.6151 | 0.2853 | |
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| 0.2158 | 23.0 | 2576 | 0.5843 | 0.2670 | |
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| 0.2015 | 24.0 | 2688 | 0.6621 | 0.2738 | |
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| 0.215 | 25.0 | 2800 | 0.6068 | 0.2652 | |
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| 0.1859 | 26.0 | 2912 | 0.6136 | 0.2570 | |
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| 0.1745 | 27.0 | 3024 | 0.6191 | 0.2624 | |
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| 0.1611 | 28.0 | 3136 | 0.6364 | 0.2578 | |
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| 0.1513 | 29.0 | 3248 | 0.6402 | 0.2535 | |
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| 0.172 | 30.0 | 3360 | 0.6330 | 0.2500 | |
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| 0.1488 | 31.0 | 3472 | 0.6275 | 0.2521 | |
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| 0.1371 | 32.0 | 3584 | 0.6539 | 0.2540 | |
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| 0.1356 | 33.0 | 3696 | 0.6544 | 0.2491 | |
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| 0.1319 | 34.0 | 3808 | 0.6545 | 0.2491 | |
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| 0.1465 | 35.0 | 3920 | 0.6573 | 0.2495 | |
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| 0.13 | 36.0 | 4032 | 0.6594 | 0.2494 | |
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| 0.1244 | 37.0 | 4144 | 0.6651 | 0.2476 | |
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| 0.1228 | 38.0 | 4256 | 0.6754 | 0.2497 | |
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| 0.1181 | 39.0 | 4368 | 0.6684 | 0.2468 | |
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| 0.1338 | 40.0 | 4480 | 0.6713 | 0.2471 | |
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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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