Model: tomaarsen/inference-free-splade-distilbert-base-nq-fresh-3e-2-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: 39.462120077254895
energy_consumed: 0.10152281201860267
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: 0.265
hardware_used: 1 x NVIDIA GeForce RTX 3090
model-index: name: Inference-free SPLADE DistilBERT-base 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: 0.34
name: Dot Accuracy@1
verified: no, type: dot_accuracy@3
value: 0.58
name: Dot Accuracy@3
verified: no, type: dot_accuracy@5
value: 0.66
name: Dot Accuracy@5
verified: no, type: dot_accuracy@10
value: 0.7
name: Dot Accuracy@10
verified: no, type: dot_precision@1
value: 0.34
name: Dot Precision@1
verified: no, type: dot_precision@3
value: 0.19333333333333333
name: Dot Precision@3
verified: no, type: dot_precision@5
value: 0.132
name: Dot Precision@5
verified: no, type: dot_precision@10
value: 0.07
name: Dot Precision@10
verified: no, type: dot_recall@1
value: 0.34
name: Dot Recall@1
verified: no, type: dot_recall@3
value: 0.58
name: Dot Recall@3
verified: no, type: dot_recall@5
value: 0.66
name: Dot Recall@5
verified: no, type: dot_recall@10
value: 0.7
name: Dot Recall@10
verified: no, type: dot_ndcg@10
value: 0.5231308292979258
name: Dot Ndcg@10
verified: no, type: dot_mrr@10
value: 0.4656904761904761
name: Dot Mrr@10
verified: no, type: dot_map@100
value: 0.4836285492285492
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: 168.1092529296875
name: Corpus Active Dims
verified: no, type: corpus_sparsity_ratio
value: 0.9944921940590498
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: 0.56
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: 0.3666666666666667
name: Dot Precision@3
verified: no, type: dot_precision@5
value: 0.32400000000000007
name: Dot Precision@5
verified: no, type: dot_precision@10
value: 0.266
name: Dot Precision@10
verified: no, type: dot_recall@1
value: 0.02400303009002023
name: Dot Recall@1
verified: no, type: dot_recall@3
value: 0.07539297398118948
name: Dot Recall@3
verified: no, type: dot_recall@5
value: 0.11279299258138195
name: Dot Recall@5
verified: no, type: dot_recall@10
value: 0.14025308960153313
name: Dot Recall@10
verified: no, type: dot_ndcg@10
value: 0.32970875085690265
name: Dot Ndcg@10
verified: no, type: dot_mrr@10
value: 0.5055238095238095
name: Dot Mrr@10
verified: no, type: dot_map@100
value: 0.13622477789407875
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: 200.1533966064453
name: Corpus Active Dims
verified: no, type: corpus_sparsity_ratio
value: 0.993442323681068
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: 0.38
name: Dot Accuracy@1
verified: no, type: dot_accuracy@3
value: 0.54
name: Dot Accuracy@3
verified: no, type: dot_accuracy@5
value: 0.64
name: Dot Accuracy@5
verified: no, type: dot_accuracy@10
value: 0.72
name: Dot Accuracy@10
verified: no, type: dot_precision@1
value: 0.38
name: Dot Precision@1
verified: no, type: dot_precision@3
value: 0.18
name: Dot Precision@3
verified: no, type: dot_precision@5
value: 0.128
name: Dot Precision@5
verified: no, type: dot_precision@10
value: 0.07400000000000001
name: Dot Precision@10
verified: no, type: dot_recall@1
value: 0.35
name: Dot Recall@1
verified: no, type: dot_recall@3
value: 0.5
name: Dot Recall@3
verified: no, type: dot_recall@5
value: 0.6
name: Dot Recall@5
verified: no, type: dot_recall@10
value: 0.68
name: Dot Recall@10
verified: no, type: dot_ndcg@10
value: 0.5165892421271832
name: Dot Ndcg@10
verified: no, type: dot_mrr@10
value: 0.48800000000000004
name: Dot Mrr@10
verified: no, type: dot_map@100
value: 0.46127025074200567
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: 192.09732055664062
name: Corpus Active Dims
verified: no, type: corpus_sparsity_ratio
value: 0.9937062669367458
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: 0.3866666666666667
name: Dot Accuracy@1
verified: no, type: dot_accuracy@3
value: 0.56
name: Dot Accuracy@3
verified: no, type: dot_accuracy@5
value: 0.6266666666666666
name: Dot Accuracy@5
verified: no, type: dot_accuracy@10
value: 0.68
name: Dot Accuracy@10
verified: no, type: dot_precision@1
value: 0.3866666666666667
name: Dot Precision@1
verified: no, type: dot_precision@3
value: 0.24666666666666667
name: Dot Precision@3
verified: no, type: dot_precision@5
value: 0.19466666666666668
name: Dot Precision@5
verified: no, type: dot_precision@10
value: 0.1366666666666667
name: Dot Precision@10
verified: no, type: dot_recall@1
value: 0.23800101003000673
name: Dot Recall@1
verified: no, type: dot_recall@3
value: 0.38513099132706313
name: Dot Recall@3
verified: no, type: dot_recall@5
value: 0.457597664193794
name: Dot Recall@5
verified: no, type: dot_recall@10
value: 0.5067510298671777
name: Dot Recall@10
verified: no, type: dot_ndcg@10
value: 0.4564762740940038
name: Dot Ndcg@10
verified: no, type: dot_mrr@10
value: 0.48640476190476184
name: Dot Mrr@10
verified: no, type: dot_map@100
value: 0.3603745259548779
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: 184.6395481318343
name: Corpus Active Dims
verified: no, type: corpus_sparsity_ratio
value: 0.9939506078195455
name: Corpus Sparsity Ratio
verified: no
Likes: 1 | All-time downloads: 13
Created: 2025-05-27 09:43:29