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ThesisBertN1
MaxPilg/ThesisBertN1
ThesisBertN1 is a text classification model from MaxPilg. Use it when you need a label for a piece of text. It is set up for transformers.
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1.8 GB on disk
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.pt1.2 GB · 50%
At a glance
- Task
- Text Classification
- Library
- transformers
- Model type
- modernbert
- Access
- Public
- Created
- Oct 25, 2025
- Updated
- Oct 25, 2025
- SHA
- ea26be9d
Try a prompt
Base models
Model card
From the Hugging Face model README
Model Trained Using AutoTrain
- Problem type: Text Classification
Validation Metrics
loss: 0.12418725341558456
f1_macro: 0.9621447231119773
f1_micro: 0.9620462046204621
f1_weighted: 0.9621447231119773
precision_macro: 0.9626325130833898
precision_micro: 0.9620462046204621
precision_weighted: 0.96263251308339
recall_macro: 0.962046204620462
recall_micro: 0.9620462046204621
recall_weighted: 0.9620462046204621
accuracy: 0.9620462046204621
- Task
- Text Classification
- Library
- transformers
- Type
- modernbert
- Created
- Oct 25, 2025
- Updated
- Oct 25, 2025