Downloads · 30 days
5
19% of all-time downloads
ymoslem/ModernBERT-base-TeleMath-router-qe-classifier-binary-10ep-lr2e-05-e2b-5runs
ModernBERT-base-TeleMath-router-qe-classifier-binary-10ep-lr2e-05-e2b-5runs is a text classification model from ymoslem. Use it when you need a label for a piece of text. The card lists the license as apache-2.0.
Quality estimator for the Stage 2 cascade of CRE-Router on TeleMath. Gemma4-E2B. Gates cluster 1 under both the TPOT and E2EL routings.
Downloads · 30 days
5
19% of all-time downloads
All-time downloads
26
Public
Parameters
150M
598 MB on disk
Likes
0
Public
Click a slice to open those files.
.safetensors598 MB · 99%
From the Hugging Face model README
Quality estimator for the Stage 2 cascade of CRE-Router on TeleMath. Gemma4-E2B. Gates cluster 1 under both the TPOT and E2EL routings.
Given an efficient model's answer, it predicts whether to accept it or escalate to a stronger model.
question [SEP] full_output [SEP] num_tokens
full_output is truncated to its last 1,000 words before tokenisation, and the
tokeniser runs at max_length=4096. Using 2048 truncates roughly a fifth of
these inputs from the right, which removes the final answer and the token count,
the two things the classifier most needs.
ModernBERT-base, 10 epochs, lr 2e-5, max_length 4096, on the train_e2b split of
ymoslem/TeleMath-router.
Labels are recomputed from the saved generation text with the current grader, so
they carry no dependence on the answer parser that was in use when the
generations were produced.
Deployed only where Stage 1 gates to the corresponding tier. It is trained on that tier's own outputs and does not transfer to another model's outputs.