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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 |
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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-v1 |
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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: 0.7044 |
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- Wer: 0.4757 |
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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-05 |
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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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- gradient_accumulation_steps: 8 |
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- total_train_batch_size: 64 |
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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: 50 |
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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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| 1.0489 | 1.0 | 72 | 0.9702 | 0.6696 | |
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| 0.9699 | 2.0 | 144 | 0.9321 | 0.6596 | |
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| 0.9074 | 3.0 | 216 | 0.8542 | 0.6139 | |
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| 0.8979 | 4.0 | 288 | 0.8187 | 0.5777 | |
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| 0.8363 | 5.0 | 360 | 0.7735 | 0.5551 | |
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| 0.802 | 6.0 | 432 | 0.7766 | 0.5402 | |
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| 0.7702 | 7.0 | 504 | 0.7471 | 0.4971 | |
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| 0.7483 | 8.0 | 576 | 0.7226 | 0.4981 | |
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| 0.7196 | 9.0 | 648 | 0.7095 | 0.4842 | |
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| 0.731 | 10.0 | 720 | 0.7044 | 0.4757 | |
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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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