Model: tomaarsen/google-siglip2-base-512-coco
Author: tomaarsen
Pipeline: sentence-similarity
Library: sentence-transformers
Tags: sentence-transformers, safetensors, siglip, sentence-similarity, feature-extraction, dense, generated_from_trainer, dataset_size:10000, loss:MultipleNegativesRankingLoss, en, dataset:jxie/coco_captions, arxiv:1908.10084, arxiv:1705.00652, base_model:google/siglip2-base-patch16-512, base_model:finetune:google/siglip2-base-patch16-512, license:apache-2.0, model-index, co2_eq_emissions, endpoints_compatible, region:us
Base models (finetune): id: google/siglip2-base-patch16-512
Card metadata: language: en
license: apache-2.0
tags: sentence-transformers, sentence-similarity, feature-extraction, dense, generated_from_trainer, dataset_size:10000, loss:MultipleNegativesRankingLoss
base_model: google/siglip2-base-patch16-512
widget: source_sentence: A man standing next to a little girl riding a horse.
sentences: The woman is working on her computer at the desk., A young man holding an umbrella next to a herd of cattle., a person sitting at a desk with a keyboard and monitor , source_sentence: A car at an intersection while a man is crossing the street. 
sentences: A plane that is flying in the air., a small girl sitting on a chair holding a white bear, A young toddler walks across the grass in a park., source_sentence: A lady riding her bicycle on the side of a street.
sentences: Flowers hang from a small decorative post in a yard., Flowers in a clear vase sitting on a table., The toilet is near the door in the bathroom., source_sentence: A group of zebras standing beside each other in the desert. 
sentences: The bathroom is clean and ready for us to use., A woman throwing a frisbee as a child looks on., a bird with a pink eye is sitting on a branch in the woods., source_sentence: A large desk by a window is neatly arranged.
sentences: An old toilet sits in dirt with a helmet on top., A lady sitting at an enormous dining table with lots of food., A long hot dog on a plate on a table.
datasets: jxie/coco_captions
pipeline_tag: sentence-similarity
library_name: sentence-transformers
metrics: cosine_accuracy@1, cosine_accuracy@3, cosine_accuracy@5, cosine_accuracy@10, cosine_precision@1, cosine_precision@3, cosine_precision@5, cosine_precision@10, cosine_recall@1, cosine_recall@3, cosine_recall@5, cosine_recall@10, cosine_ndcg@10, cosine_mrr@10, cosine_map@100
co2_eq_emissions: emissions: 14.931381819429657
energy_consumed: 0.0557928041021652
source: codecarbon
training_type: fine-tuning
on_cloud: no
cpu_model: 13th Gen Intel(R) Core(TM) i7-13700K
ram_total_size: 31.777088165283203
hours_used: 0.175
hardware_used: 1 x NVIDIA GeForce RTX 3090
model-index: name: Google SigLIP2 (512x512 resolution) model trained on COCO Captions
results: task: type: information-retrieval
name: Information Retrieval
dataset: name: coco eval
type: coco-eval
metrics: type: cosine_accuracy@1
value: 0.627
name: Cosine Accuracy@1
verified: no, type: cosine_accuracy@3
value: 0.892
name: Cosine Accuracy@3
verified: no, type: cosine_accuracy@5
value: 0.948
name: Cosine Accuracy@5
verified: no, type: cosine_accuracy@10
value: 0.98
name: Cosine Accuracy@10
verified: no, type: cosine_precision@1
value: 0.627
name: Cosine Precision@1
verified: no, type: cosine_precision@3
value: 0.2973333333333333
name: Cosine Precision@3
verified: no, type: cosine_precision@5
value: 0.18960000000000002
name: Cosine Precision@5
verified: no, type: cosine_precision@10
value: 0.09800000000000002
name: Cosine Precision@10
verified: no, type: cosine_recall@1
value: 0.627
name: Cosine Recall@1
verified: no, type: cosine_recall@3
value: 0.892
name: Cosine Recall@3
verified: no, type: cosine_recall@5
value: 0.948
name: Cosine Recall@5
verified: no, type: cosine_recall@10
value: 0.98
name: Cosine Recall@10
verified: no, type: cosine_ndcg@10
value: 0.8151978294992689
name: Cosine Ndcg@10
verified: no, type: cosine_mrr@10
value: 0.7606325396825407
name: Cosine Mrr@10
verified: no, type: cosine_map@100
value: 0.7613973675346634
name: Cosine Map@100
verified: no, task: type: information-retrieval
name: Information Retrieval
dataset: name: coco test
type: coco-test
metrics: type: cosine_accuracy@1
value: 0.65
name: Cosine Accuracy@1
verified: no, type: cosine_accuracy@3
value: 0.874
name: Cosine Accuracy@3
verified: no, type: cosine_accuracy@5
value: 0.939
name: Cosine Accuracy@5
verified: no, type: cosine_accuracy@10
value: 0.98
name: Cosine Accuracy@10
verified: no, type: cosine_precision@1
value: 0.65
name: Cosine Precision@1
verified: no, type: cosine_precision@3
value: 0.2913333333333333
name: Cosine Precision@3
verified: no, type: cosine_precision@5
value: 0.18780000000000002
name: Cosine Precision@5
verified: no, type: cosine_precision@10
value: 0.09800000000000002
name: Cosine Precision@10
verified: no, type: cosine_recall@1
value: 0.65
name: Cosine Recall@1
verified: no, type: cosine_recall@3
value: 0.874
name: Cosine Recall@3
verified: no, type: cosine_recall@5
value: 0.939
name: Cosine Recall@5
verified: no, type: cosine_recall@10
value: 0.98
name: Cosine Recall@10
verified: no, type: cosine_ndcg@10
value: 0.8236324365873424
name: Cosine Ndcg@10
verified: no, type: cosine_mrr@10
value: 0.772338095238096
name: Cosine Mrr@10
verified: no, type: cosine_map@100
value: 0.7730665827767428
name: Cosine Map@100
verified: no
Likes: 0 | All-time downloads: 32
Created: 2025-10-15 17:29:45