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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_stepmania_ft_wav2vec2-large-xlsr-53-v3 |
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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_stepmania_ft_wav2vec2-large-xlsr-53-v3 |
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This model is a fine-tuned version of [gary109/ai-light-dance_stepmania_ft_wav2vec2-large-xlsr-53-v2](https://huggingface.co/gary109/ai-light-dance_stepmania_ft_wav2vec2-large-xlsr-53-v2) on the GARY109/AI_LIGHT_DANCE - ONSET-STEPMANIA2 dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.0734 |
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- Wer: 0.6928 |
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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-06 |
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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: 16 |
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- total_train_batch_size: 128 |
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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: 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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| 0.9189 | 1.0 | 188 | 1.0770 | 0.7002 | |
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| 0.9172 | 2.0 | 376 | 1.0780 | 0.6955 | |
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| 0.9177 | 3.0 | 564 | 1.0824 | 0.6916 | |
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| 0.9184 | 4.0 | 752 | 1.0734 | 0.6928 | |
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| 0.9072 | 5.0 | 940 | 1.0841 | 0.6897 | |
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| 0.9089 | 6.0 | 1128 | 1.0788 | 0.6870 | |
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| 0.9174 | 7.0 | 1316 | 1.0761 | 0.6856 | |
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| 0.9072 | 8.0 | 1504 | 1.0776 | 0.6850 | |
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| 0.9079 | 9.0 | 1692 | 1.0795 | 0.6852 | |
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| 0.9016 | 10.0 | 1880 | 1.0817 | 0.6850 | |
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### Framework versions |
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- Transformers 4.21.0.dev0 |
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- Pytorch 1.11.0+cu113 |
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- Datasets 2.3.3.dev0 |
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- Tokenizers 0.12.1 |
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