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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 |
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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-v1](https://huggingface.co/gary109/ai-light-dance_singing3_ft_wav2vec2-large-xlsr-53-v1) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.6009 |
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- Wer: 0.3386 |
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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: 1e-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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- 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: 20.0 |
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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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| 0.6364 | 1.0 | 578 | 0.6806 | 0.4167 | |
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| 0.6466 | 2.0 | 1156 | 0.7114 | 0.4238 | |
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| 0.6371 | 3.0 | 1734 | 0.7033 | 0.4318 | |
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| 0.7171 | 4.0 | 2312 | 0.6488 | 0.3970 | |
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| 0.6228 | 5.0 | 2890 | 0.6369 | 0.3858 | |
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| 0.6004 | 6.0 | 3468 | 0.6313 | 0.4088 | |
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| 0.6074 | 7.0 | 4046 | 0.6295 | 0.3794 | |
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| 0.6075 | 8.0 | 4624 | 0.6280 | 0.3692 | |
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| 0.5936 | 9.0 | 5202 | 0.6201 | 0.3648 | |
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| 0.5737 | 10.0 | 5780 | 0.6289 | 0.3512 | |
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| 0.5711 | 11.0 | 6358 | 0.6288 | 0.3545 | |
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| 0.5617 | 12.0 | 6936 | 0.6308 | 0.3662 | |
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| 0.5796 | 13.0 | 7514 | 0.6088 | 0.3546 | |
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| 0.5401 | 14.0 | 8092 | 0.6190 | 0.3488 | |
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| 0.5137 | 15.0 | 8670 | 0.6050 | 0.3397 | |
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| 0.5038 | 16.0 | 9248 | 0.6019 | 0.3414 | |
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| 0.5303 | 17.0 | 9826 | 0.6061 | 0.3456 | |
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| 0.5401 | 18.0 | 10404 | 0.6051 | 0.3410 | |
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| 0.5394 | 19.0 | 10982 | 0.6061 | 0.3399 | |
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| 0.4707 | 20.0 | 11560 | 0.6009 | 0.3386 | |
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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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