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WiessdornH/
pol_target_identifier

Name: pol_target_identifier
Availability: InStock

generated_from_trainer

WiessdornH/distilbert-cyber-domain

finetune

text-embeddings-inference

endpoints_compatible

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pol_target_identifier

This model is a fine-tuned version of WiessdornH/distilbert-cyber-domain on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.5124
Accuracy: 0.8333

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: 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: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	1.0	9	0.6102	0.7917
No log	2.0	18	0.5409	0.7917
No log	3.0	27	0.5124	0.8333

Framework versions

Transformers 4.56.1
Pytorch 2.8.0+cu126
Datasets 4.0.0
Tokenizers 0.22.0

WiessdornH/pol_target_identifier

pol_target_identifier

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

WiessdornH/
pol_target_identifier