Model: CATIE-AQ/SPLADE_camemberta2.0_STS
Author: CATIE-AQ
Pipeline: feature-extraction
Library: sentence-transformers
Tags: sentence-transformers, safetensors, deberta-v2, sparse-encoder, sparse, csr, generated_from_trainer, dataset_size:12227, loss:SpladeLoss, loss:SparseCosineSimilarityLoss, loss:FlopsLoss, feature-extraction, fr, dataset:CATIE-AQ/frenchSTS, arxiv:1908.10084, arxiv:2205.04733, arxiv:2004.05665, base_model:almanach/camembertav2-base, base_model:finetune:almanach/camembertav2-base, model-index, endpoints_compatible, region:us
Base models (finetune): id: almanach/camembertav2-base
Card metadata: language: fr
tags: sentence-transformers, sparse-encoder, sparse, csr, generated_from_trainer, dataset_size:12227, loss:SpladeLoss, loss:SparseCosineSimilarityLoss, loss:FlopsLoss
base_model: almanach/camembertav2-base
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datasets: CATIE-AQ/frenchSTS
pipeline_tag: feature-extraction
library_name: sentence-transformers
metrics: pearson_cosine, spearman_cosine, active_dims, sparsity_ratio
model-index: name: CSR Sparse Encoder
results: task: type: semantic-similarity
name: Semantic Similarity
dataset: name: sts dev
type: sts-dev
metrics: type: pearson_cosine
value: 0.6745695406442325
name: Pearson Cosine
verified: no, type: spearman_cosine
value: 0.6621142935428015
name: Spearman Cosine
verified: no, type: active_dims
value: 225.67513275146484
name: Active Dims
verified: no, type: sparsity_ratio
value: 0.9265380427241325
name: Sparsity Ratio
verified: no, task: type: semantic-similarity
name: Semantic Similarity
dataset: name: sts test
type: sts-test
metrics: type: pearson_cosine
value: 0.5301152557566052
name: Pearson Cosine
verified: no, type: spearman_cosine
value: 0.5181380633561732
name: Spearman Cosine
verified: no, type: active_dims
value: 214.35201263427734
name: Active Dims
verified: no, type: sparsity_ratio
value: 0.9302239542206128
name: Sparsity Ratio
verified: no
Likes: 2 | All-time downloads: 57
Created: 2025-07-02 10:22:10