Model: stevenakram/paligemma_vqav2_finetune_50P_Final
Author: stevenakram
Library: peft
Tags: peft, tensorboard, safetensors, generated_from_trainer, en, dataset:vq_av2, arxiv:2407.07726, arxiv:2106.09685, base_model:google/paligemma-3b-pt-224, base_model:adapter:google/paligemma-3b-pt-224, license:gemma, model-index, endpoints_compatible, region:us
Base models (adapter): id: google/paligemma-3b-pt-224
Card metadata: library_name: peft
license: gemma
base_model: google/paligemma-3b-pt-224
tags: generated_from_trainer
datasets: vq_av2
model-index: name: paligemma_vqav2_finetune_50P_Final
results: task: type: visual-question-answering
name: Visual Question Answering (VQA)
dataset: name: VQA v2
type: visualqa_v2
split: test-std
url: https://visualqa.org/
metrics: name: Overall Accuracy
type: accuracy
value: 79.35
verified: no, name: Yes/No Accuracy
type: accuracy
value: 92.2
config: yes/no
verified: no, name: Number Accuracy
type: accuracy
value: 64.32
config: number
verified: no, name: Other Accuracy
type: accuracy
value: 71.6
config: other
verified: no
source: name: EvalAI VQA Challenge 2021 Leaderboard
url: https://eval.ai/web/challenges/challenge-page/830/leaderboard/2278
language: en
Likes: 0 | All-time downloads: 9
Created: 2025-03-05 15:18:37