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--- |
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library_name: transformers |
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license: apache-2.0 |
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base_model: facebook/wav2vec2-base |
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tags: |
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- audio-classification |
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- generated_from_trainer |
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metrics: |
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- accuracy |
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model-index: |
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- name: wav2vec2-base-wakeword |
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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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# wav2vec2-base-wakeword |
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This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on the superb dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.1988 |
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- Accuracy: 0.8980 |
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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: 32 |
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- eval_batch_size: 32 |
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- seed: 0 |
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- gradient_accumulation_steps: 4 |
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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_ratio: 0.1 |
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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 | Accuracy | |
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|:-------------:|:------:|:----:|:---------------:|:--------:| |
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| 0.5835 | 0.9832 | 44 | 0.4825 | 0.8305 | |
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| 0.3198 | 1.9888 | 89 | 0.3220 | 0.8681 | |
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| 0.2074 | 2.9944 | 134 | 0.2879 | 0.8571 | |
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| 0.164 | 4.0 | 179 | 0.2867 | 0.8454 | |
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| 0.1524 | 4.9832 | 223 | 0.2757 | 0.8414 | |
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| 0.1529 | 5.9888 | 268 | 0.3233 | 0.8273 | |
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| 0.1256 | 6.9944 | 313 | 0.2192 | 0.8666 | |
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| 0.1169 | 8.0 | 358 | 0.1988 | 0.8980 | |
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| 0.1128 | 8.9832 | 402 | 0.2188 | 0.8713 | |
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| 0.1252 | 9.8324 | 440 | 0.2259 | 0.8689 | |
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### Framework versions |
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- Transformers 4.44.2 |
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- Pytorch 2.3.1+cu121 |
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- Datasets 2.21.0 |
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- Tokenizers 0.19.1 |
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