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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-v4 |
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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-v4 |
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This model is a fine-tuned version of [gary109/ai-light-dance_singing_ft_wav2vec2-large-xlsr-53-5gram-v2](https://huggingface.co/gary109/ai-light-dance_singing_ft_wav2vec2-large-xlsr-53-5gram-v2) 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: 0.4231 |
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- Wer: 0.1597 |
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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: 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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| 0.1335 | 1.0 | 138 | 0.4256 | 0.1605 | |
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| 0.1288 | 2.0 | 276 | 0.4234 | 0.1602 | |
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| 0.1278 | 3.0 | 414 | 0.4243 | 0.1597 | |
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| 0.1345 | 4.0 | 552 | 0.4231 | 0.1597 | |
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| 0.1344 | 5.0 | 690 | 0.4246 | 0.1597 | |
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| 0.1237 | 6.0 | 828 | 0.4279 | 0.1595 | |
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| 0.1109 | 7.0 | 966 | 0.4354 | 0.1573 | |
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| 0.1247 | 8.0 | 1104 | 0.4318 | 0.1570 | |
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| 0.1372 | 9.0 | 1242 | 0.4341 | 0.1573 | |
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| 0.1256 | 10.0 | 1380 | 0.4328 | 0.1575 | |
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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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