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DeepAudio-Detector

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Safetensors
wav2vec2
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  1. .gitattributes +35 -35
  2. README.md +69 -0
  3. config.json +126 -0
  4. model.safetensors +3 -0
  5. preprocessor_config.json +9 -0
  6. runs/May18_00-36-33_8fdb05dffce8/events.out.tfevents.1715992606.8fdb05dffce8.34.0 +3 -0
  7. runs/May18_00-40-51_8fdb05dffce8/events.out.tfevents.1715992857.8fdb05dffce8.34.1 +3 -0
  8. runs/May18_00-41-14_8fdb05dffce8/events.out.tfevents.1715992882.8fdb05dffce8.34.2 +3 -0
  9. runs/May18_12-31-00_276a264a9557/events.out.tfevents.1716035629.276a264a9557.34.0 +3 -0
  10. runs/May18_12-31-00_276a264a9557/events.out.tfevents.1716052647.276a264a9557.34.1 +3 -0
  11. training_args.bin +3 -0
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README.md CHANGED
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  ---
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  license: apache-2.0
 
 
 
 
 
 
 
 
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  ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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  license: apache-2.0
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+ base_model: motheecreator/wav2vec2-base-finetuned
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+ tags:
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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-finetuned-finetuned
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+ results: []
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  ---
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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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+
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+ # wav2vec2-base-finetuned-finetuned
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+
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+ This model is a fine-tuned version of [motheecreator/wav2vec2-base-finetuned](https://huggingface.co/motheecreator/wav2vec2-base-finetuned) on the None dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.0829
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+ - Accuracy: 0.9882
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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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: 8
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+ - eval_batch_size: 8
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+ - seed: 42
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+ - gradient_accumulation_steps: 4
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+ - total_train_batch_size: 32
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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: 5
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Accuracy | Validation Loss |
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+ |:-------------:|:-----:|:----:|:--------:|:---------------:|
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+ | 0.1448 | 1.0 | 1900 | 0.9601 | 0.1447 |
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+ | 0.0673 | 2.0 | 3800 | 0.9824 | 0.0817 |
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+ | 0.0178 | 3.0 | 5700 | 0.9796 | 0.1054 |
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+ | 0.0002 | 4.0 | 7600 | 0.9824 | 0.1074 |
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+ | 0.0108 | 5.0 | 9500 | 0.9882 | 0.0829 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.39.3
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+ - Pytorch 2.1.2
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+ - Datasets 2.18.0
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+ - Tokenizers 0.15.2
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+
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+ ### Contributors
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+
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+ - Abdalla312
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+ - motheecreator
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+ {
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+ "_name_or_path": "motheecreator/wav2vec2-base-finetuned",
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+ "architectures": [
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+ "Wav2Vec2ForSequenceClassification"
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+ ],
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+ "attention_dropout": 0.1,
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