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talmud-punctuator-B
Joshua2/talmud-punctuator-B
talmud-punctuator-B is a token classification model from Joshua2. Use it when you need labels on individual words, such as names. The card lists the license as mit.
Fine-tuned BEREL 3.0 for predicting punctuation in Talmudic Aramaic/Hebrew text.
Access
Public
Updated Mar 30, 2026
Repo size
737 MB
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At a glance
- Task
- Token Classification
- License
- mit
- Access
- Public
- Created
- Mar 30, 2026
- Updated
- Mar 30, 2026
- SHA
- a4ba7c30
Base models
Model card
From the Hugging Face model README
Talmud Punctuator — Model B (Steinsaltz)
Fine-tuned BEREL 3.0 for predicting punctuation in Talmudic Aramaic/Hebrew text.
Model B reflects the Steinsaltz/William Davidson Edition punctuation style, trained on a 15,000-sentence sample across 36 masekhtot of the Babylonian Talmud.
This is a preliminary model. For better accuracy, retrain on the full 80K-sentence
dataset using the included Colab notebook (train_on_colab.ipynb).
Training details
- Base model: BEREL 3.0 (
dicta-il/BEREL_3.0) - Head: Linear classification (768 → 8 labels)
- Data: 15,000 sentences sampled from 36 masekhtot (~80K available)
- Epochs: 3, Batch size: 16, LR: 2e-5
- Final loss: 0.2148
Labels
| Label | Meaning |
|---|---|
O | No punctuation |
, | Comma |
. | Period |
: | Colon |
; | Semicolon |
? | Question mark |
! | Exclamation mark |
— | Em-dash |
Usage
Use with the punctuator.py script from mivami.
Upgrading to full dataset
Use the Colab notebook to train on all 80K sentences with a free GPU:
- Set
CONTINUE_FROM = "Joshua2/talmud-punctuator-B"to start from this checkpoint - Upload
Steinsaltz_combined.txt - Run on a T4 GPU (~3-5 hours)
- Task
- Token Classification
- License
- mit
- Languages
- he, arc
- Created
- Mar 30, 2026
- Updated
- Mar 30, 2026