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malicious-package-classifier-bert-weighted-balanced – AI Model by endorlabs | AlphaNeural AI
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malicious-package-classifier-bert-weighted-balanced
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peft
tensorboard
safetensors
roberta
generated_from_trainer
microsoft/codebert-base-mlm
adapter
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malicious-package-classifier-bert-weighted-balanced
This model is a fine-tuned version of
microsoft/codebert-base-mlm
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.0285
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-05
train_batch_size: 140
eval_batch_size: 140
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 15
Training results
Training Loss
Epoch
Step
Validation Loss
0.0203
1.0
24728
0.0412
0.0302
2.0
49456
0.0285
0.0197
3.0
74184
0.0290
0.012
4.0
98912
0.0345
0.0147
5.0
123640
0.0408
Framework versions
PEFT 0.10.0
Transformers 4.39.3
Pytorch 2.2.2+cu121
Datasets 2.18.0
Tokenizers 0.15.2
