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sudipadhikari/
cybersecurity_ner-v2

Name: cybersecurity_ner-v2
Availability: InStock

generated_from_trainer

autotrain_compatible

endpoints_compatible

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cybersecurity_ner-v2

This model is a fine-tuned version of sudipadhikari/cybersecurity_ner-v2 on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.1566
Precision: 0.6414
Recall: 0.6325
F1: 0.6369
Accuracy: 0.9666

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: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
No log	1.0	176	0.1432	0.6236	0.6036	0.6135	0.9657
No log	2.0	352	0.1433	0.6655	0.6058	0.6342	0.9644
0.0341	3.0	528	0.1428	0.6124	0.6229	0.6176	0.9659
0.0341	4.0	704	0.1550	0.6345	0.6175	0.6259	0.9659
0.0341	5.0	880	0.1566	0.6414	0.6325	0.6369	0.9666

Framework versions

Transformers 4.28.1
Pytorch 2.0.0+cu118
Datasets 2.11.0
Tokenizers 0.13.3