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deberta-v3-large-threat-intel-ioc – AI Model by fmt0816 | AlphaNeural AI
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fmt0816
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deberta-v3-large-threat-intel-ioc
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transformers
safetensors
deberta-v2
token-classification
generated_from_trainer
microsoft/deberta-v3-large
finetune
mit
endpoints_compatible
us
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deberta-v3-large-threat-intel-ioc
This model is a fine-tuned version of
microsoft/deberta-v3-large
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.0000
Precision: 1.0
Recall: 1.0
F1: 1.0
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: 2e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 4
Training results
Training Loss
Epoch
Step
Validation Loss
Precision
Recall
F1
Accuracy
0.0002
1.0
266
0.0000
1.0
1.0
1.0
1.0
0.0001
2.0
532
0.0000
1.0
1.0
1.0
1.0
0.0001
3.0
798
0.0000
1.0
1.0
1.0
1.0
0.0
4.0
1064
0.0000
1.0
1.0
1.0
1.0
Framework versions
Transformers 4.57.3
Pytorch 2.9.0+cu126
Datasets 4.0.0
Tokenizers 0.22.1
