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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_singing_ft_wav2vec2-large-xlsr-53-5gram-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_singing_ft_wav2vec2-large-xlsr-53-5gram-v1 |
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This model is a fine-tuned version of [gary109/ai-light-dance_singing_ft_wav2vec2-large-xlsr-53-5gram](https://huggingface.co/gary109/ai-light-dance_singing_ft_wav2vec2-large-xlsr-53-5gram) on the GARY109/AI_LIGHT_DANCE - ONSET-SINGING dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.4123 |
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- Wer: 0.1668 |
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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: 3e-05 |
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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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- gradient_accumulation_steps: 16 |
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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: cosine |
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- lr_scheduler_warmup_steps: 500 |
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- num_epochs: 10.0 |
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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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| 0.2696 | 1.0 | 552 | 0.4421 | 0.2013 | |
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| 0.2498 | 2.0 | 1104 | 0.4389 | 0.1887 | |
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| 0.2387 | 3.0 | 1656 | 0.4154 | 0.1788 | |
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| 0.1902 | 4.0 | 2208 | 0.4143 | 0.1753 | |
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| 0.1896 | 5.0 | 2760 | 0.4123 | 0.1668 | |
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| 0.1658 | 6.0 | 3312 | 0.4366 | 0.1651 | |
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| 0.1312 | 7.0 | 3864 | 0.4309 | 0.1594 | |
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| 0.1186 | 8.0 | 4416 | 0.4432 | 0.1561 | |
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| 0.1476 | 9.0 | 4968 | 0.4400 | 0.1569 | |
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| 0.1027 | 10.0 | 5520 | 0.4389 | 0.1554 | |
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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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