Model save
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README.md
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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: Heem2/Deepfake-audio-detection
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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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- precision
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- recall
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- f1
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model-index:
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- name: deepfake-audio-detector-v12
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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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# deepfake-audio-detector-v12
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This model is a fine-tuned version of [Heem2/Deepfake-audio-detection](https://huggingface.co/Heem2/Deepfake-audio-detection) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.8698
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- Accuracy: 0.9072
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- Precision: 0.8756
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- Recall: 0.9492
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- F1: 0.9109
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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: 8
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- eval_batch_size: 8
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- seed: 42
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- gradient_accumulation_steps: 2
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- total_train_batch_size: 16
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- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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- lr_scheduler_type: linear
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- num_epochs: 3
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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 | Precision | Recall | F1 |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
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| 0.4229 | 1.0 | 571 | 0.3528 | 0.8669 | 0.8223 | 0.9361 | 0.8755 |
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| 0.1973 | 2.0 | 1142 | 0.5274 | 0.9076 | 0.8781 | 0.9466 | 0.9111 |
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| 0.2161 | 3.0 | 1713 | 0.8698 | 0.9072 | 0.8756 | 0.9492 | 0.9109 |
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### Framework versions
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- Transformers 4.52.4
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- Pytorch 2.6.0+cu124
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- Datasets 3.6.0
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- Tokenizers 0.21.2
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model.safetensors
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@@ -1,3 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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-
oid sha256:
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size 378302360
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version https://git-lfs.github.com/spec/v1
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size 378302360
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