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wav2vec2-xls-r-300m-deepfake-V1 – AI Model by DavidCombei | AlphaNeural AI
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DavidCombei
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wav2vec2-xls-r-300m-deepfake-V1
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pytorch
wav2vec2
generated_from_trainer
apache-2.0
us
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wav2vec2-xls-r-300m-deepfake-V1
This model is a fine-tuned version of
facebook/wav2vec2-xls-r-300m
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.2714
Accuracy: 0.9449
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
0.0005
1.0
7173
0.2714
0.9449
0.0001
2.0
14347
0.6709
0.8833
0.0003
3.0
21521
1.2249
0.8244
0.0
4.0
28695
0.7259
0.8746
0.0
5.0
35865
1.5079
0.8109
Framework versions
Transformers 4.30.0
Pytorch 2.3.1+cu121
Datasets 2.20.0
Tokenizers 0.13.3
