Model: OussamaEL/medgemma-ECG-C-V2
Author: OussamaEL
Pipeline: text-generation
Library: transformers
Tags: transformers, tensorboard, safetensors, gemma3, any-to-any, medical, ecg, cardiology, report-generation, unsloth, gemma, fine-tuned, text-generation, en, dataset:custom-ecg-dataset, base_model:unsloth/medgemma-4b-pt, base_model:finetune:unsloth/medgemma-4b-pt, license:apache-2.0, model-index, text-generation-inference, endpoints_compatible, region:us
Base models (finetune): id: unsloth/medgemma-4b-pt
Card metadata: language: en
license: apache-2.0
library_name: transformers
base_model: unsloth/medgemma-4b-pt
tags: medical, ecg, cardiology, report-generation, unsloth, gemma, fine-tuned
pipeline_tag: text-generation
datasets: custom-ecg-dataset
metrics: bleu, rouge, diagnostic_coherence
model-index: name: MedGemma-4B-ECG
results: task: type: text-generation
name: ECG Report Generation
dataset: type: custom
name: ECG Clinical Dataset
metrics: type: bleu-4
value: 30.784
name: BLEU-4 Score
verified: no, type: rouge-1
value: 0.423
name: ROUGE-1 Score
verified: no, type: rouge-l
value: 0.318
name: ROUGE-L Score
verified: no, type: diagnostic_coherence
value: 0.72
name: Diagnostic Coherence Score
verified: no, type: success_rate
value: 100
name: Success Rate (%)
verified: no
Likes: 0 | All-time downloads: 151
Created: 2025-09-03 14:21:53