Model: tomaarsen/inference-free-splade-bert-base-uncased-nq-3e-3-lambda-corpus-1e-3-idf-lr-2e-5-lr
Author: tomaarsen
Pipeline: feature-extraction
Library: sentence-transformers
Tags: sentence-transformers, safetensors, sparse-encoder, sparse, asymmetric, inference-free, splade, generated_from_trainer, dataset_size:99000, loss:SpladeLoss, loss:SparseMultipleNegativesRankingLoss, loss:FlopsLoss, feature-extraction, en, dataset:sentence-transformers/natural-questions, arxiv:1908.10084, arxiv:2205.04733, arxiv:1705.00652, arxiv:2004.05665, license:apache-2.0, model-index, co2_eq_emissions, endpoints_compatible, region:us
Card metadata: language: en
license: apache-2.0
tags: sentence-transformers, sparse-encoder, sparse, asymmetric, inference-free, splade, generated_from_trainer, dataset_size:99000, loss:SpladeLoss, loss:SparseMultipleNegativesRankingLoss, loss:FlopsLoss
widget: Rollin' (Limp Bizkit song) The music video was filmed atop the South Tower of the former World Trade Center in New York City. The introduction features Ben Stiller and Stephen Dorff mistaking Fred Durst for the valet and giving him the keys to their Bentley Azure. Also making a cameo is break dancer Mr. Wiggles. The rest of the video has several cuts to Durst and his bandmates hanging out of the Bentley as they drive about Manhattan. The song Ben Stiller is playing at the beginning is "My Generation" from the same album. The video also features scenes of Fred Durst with five girls dancing in a room. The video was filmed around the same time as the film Zoolander, which explains Stiller and Dorff's appearance. Fred Durst has a small cameo in that film., document, who played the dj in the movie the warriors, Lionel Messi Born and raised in central Argentina, Messi was diagnosed with a growth hormone deficiency as a child. At age 13, he relocated to Spain to join Barcelona, who agreed to pay for his medical treatment. After a fast progression through Barcelona's youth academy, Messi made his competitive debut aged 17 in October 2004. Despite being injury-prone during his early career, he established himself as an integral player for the club within the next three years, finishing 2007 as a finalist for both the Ballon d'Or and FIFA World Player of the Year award, a feat he repeated the following year. His first uninterrupted campaign came in the 2008â€“09 season, during which he helped Barcelona achieve the first treble in Spanish football. At 22 years old, Messi won the Ballon d'Or and FIFA World Player of the Year award by record voting margins., Send In the Clowns "Send In the Clowns" is a song written by Stephen Sondheim for the 1973 musical A Little Night Music, an adaptation of Ingmar Bergman's film Smiles of a Summer Night. It is a ballad from Act Two, in which the character Desirée reflects on the ironies and disappointments of her life. Among other things, she looks back on an affair years earlier with the lawyer Fredrik, who was deeply in love with her but whose marriage proposals she had rejected. Meeting him after so long, she realizes she is in love with him and finally ready to marry him, but now it is he who rejects her: he is in an unconsummated marriage with a much younger woman. Desirée proposes marriage to rescue him from this situation, but he declines, citing his dedication to his bride. Reacting to his rejection, Desirée sings this song. The song is later reprised as a coda after Fredrik's young wife runs away with his son, and Fredrik is finally free to accept Desirée's offer.[1]
datasets: sentence-transformers/natural-questions
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: 68.29458484042254
energy_consumed: 0.17569908269168294
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: 0.483
hardware_used: 1 x NVIDIA GeForce RTX 3090
model-index: name: Inference-free SPLADE bert-base-uncased trained on Natural-Questions tuples
results: task: type: sparse-information-retrieval
name: Sparse Information Retrieval
dataset: name: NanoMSMARCO
type: NanoMSMARCO
metrics: type: dot_accuracy@1
value: 0.26
name: Dot Accuracy@1
verified: no, type: dot_accuracy@3
value: 0.62
name: Dot Accuracy@3
verified: no, type: dot_accuracy@5
value: 0.68
name: Dot Accuracy@5
verified: no, type: dot_accuracy@10
value: 0.78
name: Dot Accuracy@10
verified: no, type: dot_precision@1
value: 0.26
name: Dot Precision@1
verified: no, type: dot_precision@3
value: 0.20666666666666667
name: Dot Precision@3
verified: no, type: dot_precision@5
value: 0.136
name: Dot Precision@5
verified: no, type: dot_precision@10
value: 0.078
name: Dot Precision@10
verified: no, type: dot_recall@1
value: 0.26
name: Dot Recall@1
verified: no, type: dot_recall@3
value: 0.62
name: Dot Recall@3
verified: no, type: dot_recall@5
value: 0.68
name: Dot Recall@5
verified: no, type: dot_recall@10
value: 0.78
name: Dot Recall@10
verified: no, type: dot_ndcg@10
value: 0.5307390793273258
name: Dot Ndcg@10
verified: no, type: dot_mrr@10
value: 0.450047619047619
name: Dot Mrr@10
verified: no, type: dot_map@100
value: 0.4590024318818437
name: Dot Map@100
verified: no, type: query_active_dims
value: 7.21999979019165
name: Query Active Dims
verified: no, type: query_sparsity_ratio
value: 0.999763449322122
name: Query Sparsity Ratio
verified: no, type: corpus_active_dims
value: 106.36942291259766
name: Corpus Active Dims
verified: no, type: corpus_sparsity_ratio
value: 0.9965149917137607
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: 0.54
name: Dot Accuracy@3
verified: no, type: dot_accuracy@5
value: 0.58
name: Dot Accuracy@5
verified: no, type: dot_accuracy@10
value: 0.62
name: Dot Accuracy@10
verified: no, type: dot_precision@1
value: 0.44
name: Dot Precision@1
verified: no, type: dot_precision@3
value: 0.38
name: Dot Precision@3
verified: no, type: dot_precision@5
value: 0.34
name: Dot Precision@5
verified: no, type: dot_precision@10
value: 0.274
name: Dot Precision@10
verified: no, type: dot_recall@1
value: 0.043133464872628924
name: Dot Recall@1
verified: no, type: dot_recall@3
value: 0.07664632573379433
name: Dot Recall@3
verified: no, type: dot_recall@5
value: 0.09608957617217664
name: Dot Recall@5
verified: no, type: dot_recall@10
value: 0.121568983205876
name: Dot Recall@10
verified: no, type: dot_ndcg@10
value: 0.33893766293410243
name: Dot Ndcg@10
verified: no, type: dot_mrr@10
value: 0.5020238095238095
name: Dot Mrr@10
verified: no, type: dot_map@100
value: 0.1460630924219036
name: Dot Map@100
verified: no, type: query_active_dims
value: 5.659999847412109
name: Query Active Dims
verified: no, type: query_sparsity_ratio
value: 0.9998145599945151
name: Query Sparsity Ratio
verified: no, type: corpus_active_dims
value: 178.6857452392578
name: Corpus Active Dims
verified: no, type: corpus_sparsity_ratio
value: 0.9941456737684536
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: 0.44
name: Dot Accuracy@1
verified: no, type: dot_accuracy@3
value: 0.6
name: Dot Accuracy@3
verified: no, type: dot_accuracy@5
value: 0.74
name: Dot Accuracy@5
verified: no, type: dot_accuracy@10
value: 0.84
name: Dot Accuracy@10
verified: no, type: dot_precision@1
value: 0.44
name: Dot Precision@1
verified: no, type: dot_precision@3
value: 0.2
name: Dot Precision@3
verified: no, type: dot_precision@5
value: 0.14800000000000002
name: Dot Precision@5
verified: no, type: dot_precision@10
value: 0.08599999999999998
name: Dot Precision@10
verified: no, type: dot_recall@1
value: 0.43
name: Dot Recall@1
verified: no, type: dot_recall@3
value: 0.57
name: Dot Recall@3
verified: no, type: dot_recall@5
value: 0.68
name: Dot Recall@5
verified: no, type: dot_recall@10
value: 0.78
name: Dot Recall@10
verified: no, type: dot_ndcg@10
value: 0.59207822376941
name: Dot Ndcg@10
verified: no, type: dot_mrr@10
value: 0.5457777777777778
name: Dot Mrr@10
verified: no, type: dot_map@100
value: 0.5296003788208009
name: Dot Map@100
verified: no, type: query_active_dims
value: 10.319999694824219
name: Query Active Dims
verified: no, type: query_sparsity_ratio
value: 0.9996618832417657
name: Query Sparsity Ratio
verified: no, type: corpus_active_dims
value: 96.61132049560547
name: Corpus Active Dims
verified: no, type: corpus_sparsity_ratio
value: 0.9968346988894697
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: 0.37999999999999995
name: Dot Accuracy@1
verified: no, type: dot_accuracy@3
value: 0.5866666666666668
name: Dot Accuracy@3
verified: no, type: dot_accuracy@5
value: 0.6666666666666666
name: Dot Accuracy@5
verified: no, type: dot_accuracy@10
value: 0.7466666666666666
name: Dot Accuracy@10
verified: no, type: dot_precision@1
value: 0.37999999999999995
name: Dot Precision@1
verified: no, type: dot_precision@3
value: 0.2622222222222222
name: Dot Precision@3
verified: no, type: dot_precision@5
value: 0.20800000000000005
name: Dot Precision@5
verified: no, type: dot_precision@10
value: 0.146
name: Dot Precision@10
verified: no, type: dot_recall@1
value: 0.24437782162420962
name: Dot Recall@1
verified: no, type: dot_recall@3
value: 0.42221544191126475
name: Dot Recall@3
verified: no, type: dot_recall@5
value: 0.4853631920573922
name: Dot Recall@5
verified: no, type: dot_recall@10
value: 0.5605229944019586
name: Dot Recall@10
verified: no, type: dot_ndcg@10
value: 0.48725165534361276
name: Dot Ndcg@10
verified: no, type: dot_mrr@10
value: 0.4992830687830687
name: Dot Mrr@10
verified: no, type: dot_map@100
value: 0.37822196770818267
name: Dot Map@100
verified: no, type: query_active_dims
value: 7.733333110809326
name: Query Active Dims
verified: no, type: query_sparsity_ratio
value: 0.999746630852801
name: Query Sparsity Ratio
verified: no, type: corpus_active_dims
value: 118.98687776342045
name: Corpus Active Dims
verified: no, type: corpus_sparsity_ratio
value: 0.9961016028516014
name: Corpus Sparsity Ratio
verified: no
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Created: 2025-05-27 11:42:43