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malware-detection-model-v2 – AI Model by majorprojectmalware | AlphaNeural AI
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majorprojectmalware
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malware-detection-model-v2
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transformers
safetensors
distilbert
text-classification
generated_from_trainer
majorprojectmalware/malware-detection-model
finetune
apache-2.0
autotrain_compatible
endpoints_compatible
us
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malware-detection-model-v2
This model is a fine-tuned version of
majorprojectmalware/malware-detection-model
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.0007
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: 5e-06
train_batch_size: 8
eval_batch_size: 8
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 2
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
0.0063
1.0
650
0.0011
1.0
0.0019
2.0
1300
0.0007
1.0
Framework versions
Transformers 4.50.2
Pytorch 2.6.0+cu124
Datasets 3.5.0
Tokenizers 0.21.1
