---
language:
  - en
  - hi
tags:
  - text-classification
  - safety
  - content-moderation
  - multilingual
  - safe-vs-unsafe
  - calibrated-classifier
license: apache-2.0
datasets:
  - Nebulixlabs/safety-dataset
base_model:
  - Nebulixlabs/Quantum-Classifier
pipeline_tag: text-classification
---

# Quantum-Clasifier-Finetuned

Fine-tuned version of:

Nebulixlabs/Quantum-Classifier

## Architecture

- Parameters: 1,000,000
- Vocabulary: 4096
- Context length: 128
- Hidden size: 112
- Attention heads: 7
- Transformer layers: 4
- FFN: 336
- Classifier hidden: 170

## Fine-tuning

Datasets:

- Nebulixlabs/safety-dataset
- KimDongH/spam_dataset-train-eval-test2

Batch size:

128

Target tokens:

30,000,000

Actual tokens:

30,010,756

Epochs:

9

## Labels

0 = safe

1 = unsafe

## Confidence

Temperature calibrated on validation data:

1.479935

## Evaluation

The held-out test split, where available, is evaluated only after fine-tuning.

Multilingual smoke tests cover:

- English
- Hindi
- Hinglish