cysecbert-ttp – AI Model by CaffeineThief | AlphaNeural AI

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CaffeineThief/
cysecbert-ttp

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text-classification

generated_from_trainer

markusbayer/CySecBERT

text-embeddings-inference

endpoints_compatible

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cysecbert-ttp

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

Loss: 0.0182
F1 Micro: 0.3613
F1 Macro: 0.0811
Precision: 0.7753
Recall: 0.2355

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 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
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	F1 Micro	F1 Macro	Precision	Recall
0.0359	1.0	1226	0.0316	0.0	0.0	0.0	0.0
0.0278	2.0	2452	0.0278	0.0202	0.0036	0.8571	0.0102
0.0242	3.0	3678	0.0230	0.2709	0.0438	0.7462	0.1655
0.0233	4.0	4904	0.0193	0.2881	0.0567	0.8361	0.1741
0.0186	5.0	6130	0.0182	0.3613	0.0811	0.7753	0.2355

Framework versions

Transformers 4.57.5
Pytorch 2.2.0
Datasets 4.5.0
Tokenizers 0.22.2