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wav2vec2-jailbreak-classification_new – AI Model by assoni2002 | AlphaNeural AI
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assoni2002
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wav2vec2-jailbreak-classification_new
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transformers
safetensors
wav2vec2
audio-classification
generated_from_trainer
facebook/wav2vec2-base
finetune
apache-2.0
endpoints_compatible
us
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wav2vec2-jailbreak-classification_new
This model is a fine-tuned version of
facebook/wav2vec2-base
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.0627
Accuracy: 1.0
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: 1e-05
train_batch_size: 32
eval_batch_size: 64
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 128
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 10
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
0.562
1.0
31
0.4704
0.9693
0.2247
2.0
62
0.1643
0.9959
0.0949
3.0
93
0.0689
0.9980
0.0591
4.0
124
0.0476
0.9959
0.0381
5.0
155
0.0331
0.9980
0.0333
6.0
186
0.0314
0.9980
Framework versions
Transformers 4.53.3
Pytorch 2.7.1+cu126
Datasets 4.0.0
Tokenizers 0.21.2
