Model: malakhovks/MeDeBERTa
Author: malakhovks
Pipeline: text-classification
Library: transformers
Tags: transformers, safetensors, deberta-v2, text-classification, deberta, sequence-classification, medicine, telerehabilitation, MeDeBERTa, MeDeBERTaBot, en, dataset:malakhovks/MeDeBERTa, base_model:microsoft/deberta-v3-xsmall, base_model:finetune:microsoft/deberta-v3-xsmall, doi:10.57967/hf/6020, license:apache-2.0, endpoints_compatible, region:us
Base models (finetune): id: microsoft/deberta-v3-xsmall
Card metadata: license: apache-2.0
language: en
library_name: transformers
tags: deberta, sequence-classification, medicine, telerehabilitation, MeDeBERTa, MeDeBERTaBot
metrics: name: accuracy
type: accuracy
value: 0.9986, name: macro_f1
type: f1
value: 0.9987, name: balanced_accuracy
type: balanced_accuracy
value: 0.9987, name: auc_micro
type: auc
value: 0.999997, name: ap_micro
type: average_precision
value: 0.99993
datasets: malakhovks/MeDeBERTa
base_model: microsoft/deberta-v3-xsmall
Likes: 2 | All-time downloads: 175
Created: 2025-07-11 19:24:04