DavidCombei/wavLM-base-Deepfake_V1

<!-- 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-base-UTCN_114k

This model is a fine-tuned version of microsoft/wavLM-base on an unknown dataset. It achieves the following results on the evaluation set:

• —Loss: 0.2510
• —Accuracy: 0.9693

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
• —trainbatchsize: 8
• —evalbatchsize: 8
• —seed: 42
• —gradientaccumulationsteps: 4
• —totaltrainbatch_size: 32
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —lrschedulerwarmup_ratio: 0.1
• —num_epochs: 5

Training results

Framework versions

• —Transformers 4.30.0
• —Pytorch 2.3.1+cu121
• —Datasets 2.20.0
• —Tokenizers 0.13.3