Model: tomaarsen/splade-cocondenser-msmarco-margin-mse-minilm-small-old
Author: tomaarsen
Pipeline: feature-extraction
Library: sentence-transformers
Tags: sentence-transformers, safetensors, bert, sparse-encoder, sparse, splade, generated_from_trainer, dataset_size:90000, loss:SpladeLoss, loss:SparseMarginMSELoss, loss:FlopsLoss, feature-extraction, en, arxiv:1908.10084, arxiv:2205.04733, arxiv:2010.02666, arxiv:2004.05665, base_model:Luyu/co-condenser-marco, base_model:finetune:Luyu/co-condenser-marco, license:apache-2.0, model-index, co2_eq_emissions, text-embeddings-inference, endpoints_compatible, region:us
Base models (finetune): id: Luyu/co-condenser-marco
Card metadata: language: en
license: apache-2.0
tags: sentence-transformers, sparse-encoder, sparse, splade, generated_from_trainer, dataset_size:90000, loss:SpladeLoss, loss:SparseMarginMSELoss, loss:FlopsLoss
base_model: Luyu/co-condenser-marco
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pipeline_tag: feature-extraction
library_name: sentence-transformers
metrics: dot_accuracy@1, dot_accuracy@3, dot_accuracy@5, dot_accuracy@10, dot_precision@1, dot_precision@3, dot_precision@5, dot_precision@10, dot_recall@1, dot_recall@3, dot_recall@5, dot_recall@10, dot_ndcg@10, dot_mrr@10, dot_map@100, query_active_dims, query_sparsity_ratio, corpus_active_dims, corpus_sparsity_ratio
co2_eq_emissions: emissions: 87.59304620021443
energy_consumed: 0.2253475572552095
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: 0.653
hardware_used: 1 x NVIDIA GeForce RTX 3090
model-index: name: CoCondenser trained on MS MARCO
results: task: type: sparse-information-retrieval
name: Sparse Information Retrieval
dataset: name: NanoMSMARCO
type: NanoMSMARCO
metrics: type: dot_accuracy@1
value: 0.42
name: Dot Accuracy@1
verified: no, type: dot_accuracy@3
value: 0.66
name: Dot Accuracy@3
verified: no, type: dot_accuracy@5
value: 0.76
name: Dot Accuracy@5
verified: no, type: dot_accuracy@10
value: 0.84
name: Dot Accuracy@10
verified: no, type: dot_precision@1
value: 0.42
name: Dot Precision@1
verified: no, type: dot_precision@3
value: 0.22
name: Dot Precision@3
verified: no, type: dot_precision@5
value: 0.15200000000000002
name: Dot Precision@5
verified: no, type: dot_precision@10
value: 0.08399999999999999
name: Dot Precision@10
verified: no, type: dot_recall@1
value: 0.42
name: Dot Recall@1
verified: no, type: dot_recall@3
value: 0.66
name: Dot Recall@3
verified: no, type: dot_recall@5
value: 0.76
name: Dot Recall@5
verified: no, type: dot_recall@10
value: 0.84
name: Dot Recall@10
verified: no, type: dot_ndcg@10
value: 0.6312406680654746
name: Dot Ndcg@10
verified: no, type: dot_mrr@10
value: 0.5636904761904762
name: Dot Mrr@10
verified: no, type: dot_map@100
value: 0.5721212783331427
name: Dot Map@100
verified: no, type: query_active_dims
value: 21.100000381469727
name: Query Active Dims
verified: no, type: query_sparsity_ratio
value: 0.9993086953547778
name: Query Sparsity Ratio
verified: no, type: corpus_active_dims
value: 157.69065856933594
name: Corpus Active Dims
verified: no, type: corpus_sparsity_ratio
value: 0.9948335410992288
name: Corpus Sparsity Ratio
verified: no, task: type: sparse-information-retrieval
name: Sparse Information Retrieval
dataset: name: NanoNFCorpus
type: NanoNFCorpus
metrics: type: dot_accuracy@1
value: 0.44
name: Dot Accuracy@1
verified: no, type: dot_accuracy@3
value: 0.64
name: Dot Accuracy@3
verified: no, type: dot_accuracy@5
value: 0.64
name: Dot Accuracy@5
verified: no, type: dot_accuracy@10
value: 0.68
name: Dot Accuracy@10
verified: no, type: dot_precision@1
value: 0.44
name: Dot Precision@1
verified: no, type: dot_precision@3
value: 0.3933333333333333
name: Dot Precision@3
verified: no, type: dot_precision@5
value: 0.336
name: Dot Precision@5
verified: no, type: dot_precision@10
value: 0.27
name: Dot Precision@10
verified: no, type: dot_recall@1
value: 0.04389819910134535
name: Dot Recall@1
verified: no, type: dot_recall@3
value: 0.0987021139802183
name: Dot Recall@3
verified: no, type: dot_recall@5
value: 0.11414854445866388
name: Dot Recall@5
verified: no, type: dot_recall@10
value: 0.14007230906638554
name: Dot Recall@10
verified: no, type: dot_ndcg@10
value: 0.34454508141466533
name: Dot Ndcg@10
verified: no, type: dot_mrr@10
value: 0.5322222222222223
name: Dot Mrr@10
verified: no, type: dot_map@100
value: 0.1566157643935124
name: Dot Map@100
verified: no, type: query_active_dims
value: 17.920000076293945
name: Query Active Dims
verified: no, type: query_sparsity_ratio
value: 0.999412882508476
name: Query Sparsity Ratio
verified: no, type: corpus_active_dims
value: 311.4259948730469
name: Corpus Active Dims
verified: no, type: corpus_sparsity_ratio
value: 0.9897966714214976
name: Corpus Sparsity Ratio
verified: no, task: type: sparse-information-retrieval
name: Sparse Information Retrieval
dataset: name: NanoNQ
type: NanoNQ
metrics: type: dot_accuracy@1
value: 0.48
name: Dot Accuracy@1
verified: no, type: dot_accuracy@3
value: 0.74
name: Dot Accuracy@3
verified: no, type: dot_accuracy@5
value: 0.8
name: Dot Accuracy@5
verified: no, type: dot_accuracy@10
value: 0.88
name: Dot Accuracy@10
verified: no, type: dot_precision@1
value: 0.48
name: Dot Precision@1
verified: no, type: dot_precision@3
value: 0.2533333333333333
name: Dot Precision@3
verified: no, type: dot_precision@5
value: 0.16799999999999998
name: Dot Precision@5
verified: no, type: dot_precision@10
value: 0.09399999999999999
name: Dot Precision@10
verified: no, type: dot_recall@1
value: 0.46
name: Dot Recall@1
verified: no, type: dot_recall@3
value: 0.7
name: Dot Recall@3
verified: no, type: dot_recall@5
value: 0.76
name: Dot Recall@5
verified: no, type: dot_recall@10
value: 0.84
name: Dot Recall@10
verified: no, type: dot_ndcg@10
value: 0.6640066557351431
name: Dot Ndcg@10
verified: no, type: dot_mrr@10
value: 0.6205238095238095
name: Dot Mrr@10
verified: no, type: dot_map@100
value: 0.604249902859187
name: Dot Map@100
verified: no, type: query_active_dims
value: 25.100000381469727
name: Query Active Dims
verified: no, type: query_sparsity_ratio
value: 0.999177642343835
name: Query Sparsity Ratio
verified: no, type: corpus_active_dims
value: 194.18609619140625
name: Corpus Active Dims
verified: no, type: corpus_sparsity_ratio
value: 0.9936378318527159
name: Corpus Sparsity Ratio
verified: no, task: type: sparse-nano-beir
name: Sparse Nano BEIR
dataset: name: NanoBEIR mean
type: NanoBEIR_mean
metrics: type: dot_accuracy@1
value: 0.4466666666666666
name: Dot Accuracy@1
verified: no, type: dot_accuracy@3
value: 0.68
name: Dot Accuracy@3
verified: no, type: dot_accuracy@5
value: 0.7333333333333334
name: Dot Accuracy@5
verified: no, type: dot_accuracy@10
value: 0.7999999999999999
name: Dot Accuracy@10
verified: no, type: dot_precision@1
value: 0.4466666666666666
name: Dot Precision@1
verified: no, type: dot_precision@3
value: 0.28888888888888886
name: Dot Precision@3
verified: no, type: dot_precision@5
value: 0.21866666666666668
name: Dot Precision@5
verified: no, type: dot_precision@10
value: 0.14933333333333332
name: Dot Precision@10
verified: no, type: dot_recall@1
value: 0.3079660663671151
name: Dot Recall@1
verified: no, type: dot_recall@3
value: 0.4862340379934061
name: Dot Recall@3
verified: no, type: dot_recall@5
value: 0.5447161814862213
name: Dot Recall@5
verified: no, type: dot_recall@10
value: 0.6066907696887952
name: Dot Recall@10
verified: no, type: dot_ndcg@10
value: 0.5465974684050944
name: Dot Ndcg@10
verified: no, type: dot_mrr@10
value: 0.5721455026455027
name: Dot Mrr@10
verified: no, type: dot_map@100
value: 0.44432898186194736
name: Dot Map@100
verified: no, type: query_active_dims
value: 21.3733336130778
name: Query Active Dims
verified: no, type: query_sparsity_ratio
value: 0.9992997400690297
name: Query Sparsity Ratio
verified: no, type: corpus_active_dims
value: 206.63049254462427
name: Corpus Active Dims
verified: no, type: corpus_sparsity_ratio
value: 0.9932301129498518
name: Corpus Sparsity Ratio
verified: no
Likes: 0 | All-time downloads: 36
Created: 2025-06-13 11:40:06