Task
Text Classification
Q
saiteki-kai/QA-DeBERTa-MeanPooling-binary
Text Classification·saiteki-kai· 86
transformers
Text Classification
438.2M params
dataset:beavertailsbase_model:microsoft/deberta-v3-largebase_model:finetune:microsoft/deberta-v3-large
This model is a fine-tuned version of microsoft/deberta-v3-large on the saiteki-kai/Beavertails-it dataset. It achieves the following results on the evaluation set: - Loss: 0.3246 - Accuracy: 0.8645 - Unsafe Precision: 0.8883 - Unsafe Recall: 0.8653 - Unsafe F1: 0.8766 - Unsafe Fpr: 0.1366 - Unsafe Aucpr: 0.9567 - Safe Precision: 0.8363 - Safe Recall: 0.8634 - Safe F1: 0.8497 - Safe Fpr: 0.1347 -
# pull & run locally
pip install mlforge-sdk && mlforge pull saiteki-kai/QA-DeBERTa-MeanPooling-binary
pip install mlforge-sdk && mlforge pull saiteki-kai/QA-DeBERTa-MeanPooling-binary
Model details
Provider
saiteki-kai
Framework
transformers
Parameters
438.2M
Size
11 GB
Downloads
86
Updated
2026-06-24
About saiteki-kai/QA-DeBERTa-MeanPooling-binary
This model is a fine-tuned version of microsoft/deberta-v3-large on the saiteki-kai/Beavertails-it dataset. It achieves the following results on the evaluation set: - Loss: 0.3246 - Accuracy: 0.8645 - Unsafe Precision: 0.8883 - Unsafe Recall: 0.8653 - Unsafe F1: 0.8766 - Unsafe Fpr: 0.1366 - Unsafe Aucpr: 0.9567 - Safe Precision: 0.8363 - Safe Recall: 0.8634 - Safe F1: 0.8497 - Safe Fpr: 0.1347 - Safe Aucpr: 0.9241
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