Model: yosefw/colbert-ettin-17m
Author: yosefw
Pipeline: sentence-similarity
Library: PyLate
Tags: PyLate, tensorboard, safetensors, modernbert, ColBERT, sentence-transformers, sentence-similarity, feature-extraction, generated_from_trainer, dataset_size:972246, loss:Contrastive, arxiv:1908.10084, base_model:jhu-clsp/ettin-encoder-17m, base_model:finetune:jhu-clsp/ettin-encoder-17m, model-index, text-embeddings-inference, endpoints_compatible, region:us
Base models (finetune): id: jhu-clsp/ettin-encoder-17m
Card metadata: tags: ColBERT, PyLate, sentence-transformers, sentence-similarity, feature-extraction, generated_from_trainer, dataset_size:972246, loss:Contrastive
base_model: jhu-clsp/ettin-encoder-17m
pipeline_tag: sentence-similarity
library_name: PyLate
metrics: accuracy
model-index: name: PyLate model based on jhu-clsp/ettin-encoder-17m
results: task: type: col-berttriplet
name: Col BERTTriplet
dataset: name: Unknown
type: unknown
metrics: type: accuracy
value: 0.7980000376701355
name: Accuracy
verified: no
Likes: 0 | All-time downloads: 118
Created: 2025-08-02 01:25:38