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wavlm-large-deepfake-V1
DavidCombei/wavlm-large-deepfake-V1
wavlm-large-deepfake-V1 is a machine learning model from DavidCombei. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Model type
- wavlm
- Access
- Public
- Created
- Aug 17, 2024
- Updated
- Aug 17, 2024
- SHA
- 4f16de45
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
wavlm-large-deepfake-V1
This model is a fine-tuned version of microsoft/wavlm-large on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0247
- Accuracy: 0.9950
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 3e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.0045 | 1.0 | 1739 | 0.0717 | 0.9846 |
| 0.0476 | 2.0 | 3479 | 0.0247 | 0.9950 |
| 0.0002 | 3.0 | 5218 | 0.1335 | 0.9799 |
| 0.0041 | 4.0 | 6958 | 0.0697 | 0.9871 |
| 0.0002 | 5.0 | 8695 | 0.0622 | 0.9887 |
Framework versions
- Transformers 4.30.0
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.13.3
- Type
- wavlm
- Created
- Aug 17, 2024
- Updated
- Aug 17, 2024