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impact-cat-secbert – AI Model by conflick0 | AlphaNeural AI
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conflick0
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impact-cat-secbert
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transformers
tensorboard
safetensors
roberta
text-classification
generated_from_trainer
cybersecurity
ehsanaghaei/SecureBERT
finetune
bigscience-openrail-m
autotrain_compatible
endpoints_compatible
us
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impact-cat-secbert
This model is a fine-tuned version of
ehsanaghaei/SecureBERT
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.1585
Accuracy: 0.9434
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: 2e-05
train_batch_size: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 4
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
No log
1.0
128
0.2407
0.9023
No log
2.0
256
0.1664
0.9258
No log
3.0
384
0.1614
0.9434
0.423
4.0
512
0.1585
0.9434
Framework versions
Transformers 4.38.2
Pytorch 2.2.1+cu121
Datasets 2.18.0
Tokenizers 0.15.2
