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results_combined – AI Model by Piyawann | AlphaNeural AI
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Piyawann
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results_combined
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transformers
safetensors
roberta
text-classification
generated_from_trainer
ehsanaghaei/SecureBERT
finetune
bigscience-openrail-m
autotrain_compatible
endpoints_compatible
us
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results_combined
This model is a fine-tuned version of
ehsanaghaei/SecureBERT
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.0460
Accuracy: 0.9873
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: 16
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: 5
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
0.0425
1.0
19166
0.0819
0.9839
0.0159
2.0
38332
0.0616
0.9858
0.0331
3.0
57498
0.0660
0.9846
0.067
4.0
76664
0.0495
0.9872
0.0065
5.0
95830
0.0460
0.9873
Framework versions
Transformers 4.48.3
Pytorch 2.6.0+cpu
Tokenizers 0.21.0
