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lapvqa-pretrain-sigmoid

dmusingu / lapvqa-pretrain-sigmoid

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Model's Last Updated: June 06 2026

Introduction of lapvqa-pretrain-sigmoid

Model Details of lapvqa-pretrain-sigmoid

LAPVQA — Pretrain (Sigmoid)

Part of the LAPVQA collection .

Description

A ViT-L/14 vision encoder trained from scratch on MIMIC-CXR using a sigmoid (multi-label binary cross-entropy) contrastive loss — an alternative to InfoNCE that treats each image-text pair independently rather than competing within the batch.

Architecture
Component Detail
Vision backbone ViT-L/14, 24-layer, 1024-dim, 16-head, patch 14, 384 px
Text encoder 6-layer, 512-dim bidirectional transformer, GPT-2 vocab (50 257)
Projection Linear → 512-dim shared embedding space
Loss Per-pair sigmoid BCE (SigLIP-style)
Training data MIMIC-CXR (physionet.org/content/mimic-cxr)
Epochs 50
Downstream Evaluation (frozen encoder + linear probe)
Dataset Mean AUC
NIH CXR-14 (14-class) 0.650
CheXpert-5 (5-class) 0.785
Files
File Description
encoder_final.pt Vision encoder weights at end of training
model_best.pt Full model at best validation loss
model_epochXXX.pt Periodic epoch snapshots (every 10 epochs)
Usage 
import torch
from lapvqa.pretrain.model import ContrastiveModel

ckpt = torch.load("encoder_final.pt", map_location="cpu")
model = ContrastiveModel()
model.vision_encoder.load_state_dict(ckpt)
model.eval()

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lapvqa-pretrain-sigmoid huggingface.co is an AI model on huggingface.co that provides lapvqa-pretrain-sigmoid's model effect (), which can be used instantly with this dmusingu lapvqa-pretrain-sigmoid model. huggingface.co supports a free trial of the lapvqa-pretrain-sigmoid model, and also provides paid use of the lapvqa-pretrain-sigmoid. Support call lapvqa-pretrain-sigmoid model through api, including Node.js, Python, http.

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https://huggingface.co/dmusingu/lapvqa-pretrain-sigmoid

lapvqa-pretrain-sigmoid install

lapvqa-pretrain-sigmoid is an open source model from GitHub that offers a free installation service, and any user can find lapvqa-pretrain-sigmoid on GitHub to install. At the same time, huggingface.co provides the effect of lapvqa-pretrain-sigmoid install, users can directly use lapvqa-pretrain-sigmoid installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

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https://huggingface.co/dmusingu/lapvqa-pretrain-sigmoid

Url of lapvqa-pretrain-sigmoid

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dmusingu
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Updated:June 06 2026
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Updated:June 06 2026