---
license: apache-2.0
base_model: answerdotai/ModernBERT-base
datasets:
- ymoslem/TeleMath-router
pipeline_tag: text-classification
tags:
- quality-estimation
- llm-routing
- cascade
- telecom
---

# ymoslem/ModernBERT-base-TeleMath-router-qe-classifier-binary-10ep-lr2e-05-e4b-think-5runs

Quality estimator for the Stage 2 cascade of CRE-Router on TeleMath. Gemma4-E4B thinking. Gates cluster 3 under the TPOT routing.

Given an efficient model's answer, it predicts whether to **accept** it or
**escalate** to a stronger model.

## Input format

    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.

## Training

ModernBERT-base, 10 epochs, lr 2e-5, max_length 4096, on the `train_e4b_think` split of
[ymoslem/TeleMath-router](https://huggingface.co/datasets/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.

## Intended use

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.