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Securebert-finetuned-LadderHALF – AI Model by attardan | AlphaNeural AI
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attardan
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Securebert-finetuned-LadderHALF
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transformers
safetensors
roberta
token-classification
generated_from_trainer
ehsanaghaei/SecureBERT
finetune
bigscience-openrail-m
autotrain_compatible
endpoints_compatible
us
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Securebert-finetuned-LadderHALF
This model is a fine-tuned version of
ehsanaghaei/SecureBERT
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.1919
Precision: 0.6547
Recall: 0.6775
F1: 0.6659
Accuracy: 0.9540
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: 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: 3
Training results
Training Loss
Epoch
Step
Validation Loss
Precision
Recall
F1
Accuracy
No log
1.0
228
0.2715
0.6274
0.4913
0.5511
0.9315
No log
2.0
456
0.1988
0.6457
0.6688
0.6571
0.9506
0.3276
3.0
684
0.1919
0.6547
0.6775
0.6659
0.9540
Framework versions
Transformers 4.51.3
Pytorch 2.6.0+cu124
Datasets 3.5.0
Tokenizers 0.21.1
