Model: tomaarsen/splade-distilbert-base-uncased-quora-duplicates
Author: tomaarsen
Pipeline: feature-extraction
Library: sentence-transformers
Tags: sentence-transformers, safetensors, distilbert, sparse-encoder, sparse, splade, generated_from_trainer, dataset_size:99000, loss:SpladeLoss, loss:SparseMultipleNegativesRankingLoss, loss:FlopsLoss, feature-extraction, en, dataset:sentence-transformers/quora-duplicates, arxiv:1908.10084, arxiv:2205.04733, arxiv:1705.00652, arxiv:2004.05665, base_model:distilbert/distilbert-base-uncased, base_model:finetune:distilbert/distilbert-base-uncased, license:apache-2.0, model-index, co2_eq_emissions, text-embeddings-inference, endpoints_compatible, region:us
Base models (finetune): id: distilbert/distilbert-base-uncased
Card metadata: language: en
license: apache-2.0
tags: sentence-transformers, sparse-encoder, sparse, splade, generated_from_trainer, dataset_size:99000, loss:SpladeLoss, loss:SparseMultipleNegativesRankingLoss, loss:FlopsLoss
base_model: distilbert/distilbert-base-uncased
widget: How do I know if a girl likes me at school?, What are some five star hotel in Jaipur?, Is it normal to fantasize your wife having sex with another man?, What is the Sahara, and how do the average temperatures there compare to the ones in the Simpson Desert?, What are Hillary Clinton's most recognized accomplishments while Secretary of State?
datasets: sentence-transformers/quora-duplicates
pipeline_tag: feature-extraction
library_name: sentence-transformers
metrics: cosine_accuracy, cosine_accuracy_threshold, cosine_f1, cosine_f1_threshold, cosine_precision, cosine_recall, cosine_ap, cosine_mcc, dot_accuracy, dot_accuracy_threshold, dot_f1, dot_f1_threshold, dot_precision, dot_recall, dot_ap, dot_mcc, euclidean_accuracy, euclidean_accuracy_threshold, euclidean_f1, euclidean_f1_threshold, euclidean_precision, euclidean_recall, euclidean_ap, euclidean_mcc, manhattan_accuracy, manhattan_accuracy_threshold, manhattan_f1, manhattan_f1_threshold, manhattan_precision, manhattan_recall, manhattan_ap, manhattan_mcc, max_accuracy, max_accuracy_threshold, max_f1, max_f1_threshold, max_precision, max_recall, max_ap, max_mcc, active_dims, sparsity_ratio, 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: 29.19330199735101
energy_consumed: 0.07510458396754072
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: 0.306
hardware_used: 1 x NVIDIA GeForce RTX 3090
model-index: name: splade-distilbert-base-uncased trained on Quora Duplicates Questions
results: task: type: sparse-binary-classification
name: Sparse Binary Classification
dataset: name: quora duplicates dev
type: quora_duplicates_dev
metrics: type: cosine_accuracy
value: 0.759
name: Cosine Accuracy
verified: no, type: cosine_accuracy_threshold
value: 0.8012633323669434
name: Cosine Accuracy Threshold
verified: no, type: cosine_f1
value: 0.6741573033707865
name: Cosine F1
verified: no, type: cosine_f1_threshold
value: 0.542455792427063
name: Cosine F1 Threshold
verified: no, type: cosine_precision
value: 0.528169014084507
name: Cosine Precision
verified: no, type: cosine_recall
value: 0.9316770186335404
name: Cosine Recall
verified: no, type: cosine_ap
value: 0.6875984052094628
name: Cosine Ap
verified: no, type: cosine_mcc
value: 0.5059561809366392
name: Cosine Mcc
verified: no, type: dot_accuracy
value: 0.754
name: Dot Accuracy
verified: no, type: dot_accuracy_threshold
value: 47.276466369628906
name: Dot Accuracy Threshold
verified: no, type: dot_f1
value: 0.6759581881533101
name: Dot F1
verified: no, type: dot_f1_threshold
value: 40.955284118652344
name: Dot F1 Threshold
verified: no, type: dot_precision
value: 0.5398886827458256
name: Dot Precision
verified: no, type: dot_recall
value: 0.9037267080745341
name: Dot Recall
verified: no, type: dot_ap
value: 0.6070585464263578
name: Dot Ap
verified: no, type: dot_mcc
value: 0.5042382773971489
name: Dot Mcc
verified: no, type: euclidean_accuracy
value: 0.677
name: Euclidean Accuracy
verified: no, type: euclidean_accuracy_threshold
value: -14.295218467712402
name: Euclidean Accuracy Threshold
verified: no, type: euclidean_f1
value: 0.48599545798637395
name: Euclidean F1
verified: no, type: euclidean_f1_threshold
value: -0.5385364294052124
name: Euclidean F1 Threshold
verified: no, type: euclidean_precision
value: 0.3213213213213213
name: Euclidean Precision
verified: no, type: euclidean_recall
value: 0.9968944099378882
name: Euclidean Recall
verified: no, type: euclidean_ap
value: 0.20430811061248494
name: Euclidean Ap
verified: no, type: euclidean_mcc
value: -0.04590966956831287
name: Euclidean Mcc
verified: no, type: manhattan_accuracy
value: 0.677
name: Manhattan Accuracy
verified: no, type: manhattan_accuracy_threshold
value: -163.6865234375
name: Manhattan Accuracy Threshold
verified: no, type: manhattan_f1
value: 0.48599545798637395
name: Manhattan F1
verified: no, type: manhattan_f1_threshold
value: -2.7509355545043945
name: Manhattan F1 Threshold
verified: no, type: manhattan_precision
value: 0.3213213213213213
name: Manhattan Precision
verified: no, type: manhattan_recall
value: 0.9968944099378882
name: Manhattan Recall
verified: no, type: manhattan_ap
value: 0.20563864564607998
name: Manhattan Ap
verified: no, type: manhattan_mcc
value: -0.04590966956831287
name: Manhattan Mcc
verified: no, type: max_accuracy
value: 0.759
name: Max Accuracy
verified: no, type: max_accuracy_threshold
value: 47.276466369628906
name: Max Accuracy Threshold
verified: no, type: max_f1
value: 0.6759581881533101
name: Max F1
verified: no, type: max_f1_threshold
value: 40.955284118652344
name: Max F1 Threshold
verified: no, type: max_precision
value: 0.5398886827458256
name: Max Precision
verified: no, type: max_recall
value: 0.9968944099378882
name: Max Recall
verified: no, type: max_ap
value: 0.6875984052094628
name: Max Ap
verified: no, type: max_mcc
value: 0.5059561809366392
name: Max Mcc
verified: no, type: active_dims
value: 83.36341094970703
name: Active Dims
verified: no, type: sparsity_ratio
value: 0.9972687434981421
name: Sparsity Ratio
verified: no, task: type: sparse-information-retrieval
name: Sparse Information Retrieval
dataset: name: NanoMSMARCO
type: NanoMSMARCO
metrics: type: dot_accuracy@1
value: 0.24
name: Dot Accuracy@1
verified: no, type: dot_accuracy@3
value: 0.44
name: Dot Accuracy@3
verified: no, type: dot_accuracy@5
value: 0.56
name: Dot Accuracy@5
verified: no, type: dot_accuracy@10
value: 0.74
name: Dot Accuracy@10
verified: no, type: dot_precision@1
value: 0.24
name: Dot Precision@1
verified: no, type: dot_precision@3
value: 0.14666666666666667
name: Dot Precision@3
verified: no, type: dot_precision@5
value: 0.11200000000000002
name: Dot Precision@5
verified: no, type: dot_precision@10
value: 0.07400000000000001
name: Dot Precision@10
verified: no, type: dot_recall@1
value: 0.24
name: Dot Recall@1
verified: no, type: dot_recall@3
value: 0.44
name: Dot Recall@3
verified: no, type: dot_recall@5
value: 0.56
name: Dot Recall@5
verified: no, type: dot_recall@10
value: 0.74
name: Dot Recall@10
verified: no, type: dot_ndcg@10
value: 0.46883808093835555
name: Dot Ndcg@10
verified: no, type: dot_mrr@10
value: 0.3849920634920634
name: Dot Mrr@10
verified: no, type: dot_map@100
value: 0.39450094910993877
name: Dot Map@100
verified: no, type: query_active_dims
value: 84.87999725341797
name: Query Active Dims
verified: no, type: query_sparsity_ratio
value: 0.9972190551977781
name: Query Sparsity Ratio
verified: no, type: corpus_active_dims
value: 104.35554504394531
name: Corpus Active Dims
verified: no, type: corpus_sparsity_ratio
value: 0.9965809729033503
name: Corpus Sparsity Ratio
verified: no, type: dot_accuracy@1
value: 0.24
name: Dot Accuracy@1
verified: no, type: dot_accuracy@3
value: 0.44
name: Dot Accuracy@3
verified: no, type: dot_accuracy@5
value: 0.6
name: Dot Accuracy@5
verified: no, type: dot_accuracy@10
value: 0.74
name: Dot Accuracy@10
verified: no, type: dot_precision@1
value: 0.24
name: Dot Precision@1
verified: no, type: dot_precision@3
value: 0.14666666666666667
name: Dot Precision@3
verified: no, type: dot_precision@5
value: 0.12000000000000002
name: Dot Precision@5
verified: no, type: dot_precision@10
value: 0.07400000000000001
name: Dot Precision@10
verified: no, type: dot_recall@1
value: 0.24
name: Dot Recall@1
verified: no, type: dot_recall@3
value: 0.44
name: Dot Recall@3
verified: no, type: dot_recall@5
value: 0.6
name: Dot Recall@5
verified: no, type: dot_recall@10
value: 0.74
name: Dot Recall@10
verified: no, type: dot_ndcg@10
value: 0.46663046446554135
name: Dot Ndcg@10
verified: no, type: dot_mrr@10
value: 0.3821587301587301
name: Dot Mrr@10
verified: no, type: dot_map@100
value: 0.39141822290426725
name: Dot Map@100
verified: no, type: query_active_dims
value: 94.9000015258789
name: Query Active Dims
verified: no, type: query_sparsity_ratio
value: 0.9968907672653863
name: Query Sparsity Ratio
verified: no, type: corpus_active_dims
value: 115.97699737548828
name: Corpus Active Dims
verified: no, type: corpus_sparsity_ratio
value: 0.9962002163234556
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: 0.18
name: Dot Accuracy@1
verified: no, type: dot_accuracy@3
value: 0.44
name: Dot Accuracy@3
verified: no, type: dot_accuracy@5
value: 0.52
name: Dot Accuracy@5
verified: no, type: dot_accuracy@10
value: 0.58
name: Dot Accuracy@10
verified: no, type: dot_precision@1
value: 0.18
name: Dot Precision@1
verified: no, type: dot_precision@3
value: 0.14666666666666667
name: Dot Precision@3
verified: no, type: dot_precision@5
value: 0.10400000000000001
name: Dot Precision@5
verified: no, type: dot_precision@10
value: 0.06000000000000001
name: Dot Precision@10
verified: no, type: dot_recall@1
value: 0.17
name: Dot Recall@1
verified: no, type: dot_recall@3
value: 0.41
name: Dot Recall@3
verified: no, type: dot_recall@5
value: 0.48
name: Dot Recall@5
verified: no, type: dot_recall@10
value: 0.55
name: Dot Recall@10
verified: no, type: dot_ndcg@10
value: 0.3711173352982992
name: Dot Ndcg@10
verified: no, type: dot_mrr@10
value: 0.32435714285714284
name: Dot Mrr@10
verified: no, type: dot_map@100
value: 0.32104591506684527
name: Dot Map@100
verified: no, type: query_active_dims
value: 76.81999969482422
name: Query Active Dims
verified: no, type: query_sparsity_ratio
value: 0.9974831269348396
name: Query Sparsity Ratio
verified: no, type: corpus_active_dims
value: 139.53028869628906
name: Corpus Active Dims
verified: no, type: corpus_sparsity_ratio
value: 0.9954285338871539
name: Corpus Sparsity Ratio
verified: no, type: dot_accuracy@1
value: 0.18
name: Dot Accuracy@1
verified: no, type: dot_accuracy@3
value: 0.46
name: Dot Accuracy@3
verified: no, type: dot_accuracy@5
value: 0.5
name: Dot Accuracy@5
verified: no, type: dot_accuracy@10
value: 0.64
name: Dot Accuracy@10
verified: no, type: dot_precision@1
value: 0.18
name: Dot Precision@1
verified: no, type: dot_precision@3
value: 0.1533333333333333
name: Dot Precision@3
verified: no, type: dot_precision@5
value: 0.10000000000000002
name: Dot Precision@5
verified: no, type: dot_precision@10
value: 0.066
name: Dot Precision@10
verified: no, type: dot_recall@1
value: 0.17
name: Dot Recall@1
verified: no, type: dot_recall@3
value: 0.43
name: Dot Recall@3
verified: no, type: dot_recall@5
value: 0.46
name: Dot Recall@5
verified: no, type: dot_recall@10
value: 0.61
name: Dot Recall@10
verified: no, type: dot_ndcg@10
value: 0.39277722565932277
name: Dot Ndcg@10
verified: no, type: dot_mrr@10
value: 0.33549999999999996
name: Dot Mrr@10
verified: no, type: dot_map@100
value: 0.3266050492721919
name: Dot Map@100
verified: no, type: query_active_dims
value: 85.72000122070312
name: Query Active Dims
verified: no, type: query_sparsity_ratio
value: 0.9971915339354989
name: Query Sparsity Ratio
verified: no, type: corpus_active_dims
value: 156.10665893554688
name: Corpus Active Dims
verified: no, type: corpus_sparsity_ratio
value: 0.994885438079564
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: 0.28
name: Dot Accuracy@1
verified: no, type: dot_accuracy@3
value: 0.42
name: Dot Accuracy@3
verified: no, type: dot_accuracy@5
value: 0.46
name: Dot Accuracy@5
verified: no, type: dot_accuracy@10
value: 0.52
name: Dot Accuracy@10
verified: no, type: dot_precision@1
value: 0.28
name: Dot Precision@1
verified: no, type: dot_precision@3
value: 0.24
name: Dot Precision@3
verified: no, type: dot_precision@5
value: 0.2
name: Dot Precision@5
verified: no, type: dot_precision@10
value: 0.16
name: Dot Precision@10
verified: no, type: dot_recall@1
value: 0.010055870806195594
name: Dot Recall@1
verified: no, type: dot_recall@3
value: 0.03299225609257712
name: Dot Recall@3
verified: no, type: dot_recall@5
value: 0.043240249260663235
name: Dot Recall@5
verified: no, type: dot_recall@10
value: 0.0575687615260951
name: Dot Recall@10
verified: no, type: dot_ndcg@10
value: 0.1901013298743406
name: Dot Ndcg@10
verified: no, type: dot_mrr@10
value: 0.3606904761904762
name: Dot Mrr@10
verified: no, type: dot_map@100
value: 0.06747201795263198
name: Dot Map@100
verified: no, type: query_active_dims
value: 92.18000030517578
name: Query Active Dims
verified: no, type: query_sparsity_ratio
value: 0.9969798833528217
name: Query Sparsity Ratio
verified: no, type: corpus_active_dims
value: 196.1699981689453
name: Corpus Active Dims
verified: no, type: corpus_sparsity_ratio
value: 0.993572832770823
name: Corpus Sparsity Ratio
verified: no, type: dot_accuracy@1
value: 0.3
name: Dot Accuracy@1
verified: no, type: dot_accuracy@3
value: 0.42
name: Dot Accuracy@3
verified: no, type: dot_accuracy@5
value: 0.48
name: Dot Accuracy@5
verified: no, type: dot_accuracy@10
value: 0.52
name: Dot Accuracy@10
verified: no, type: dot_precision@1
value: 0.3
name: Dot Precision@1
verified: no, type: dot_precision@3
value: 0.24666666666666665
name: Dot Precision@3
verified: no, type: dot_precision@5
value: 0.21600000000000003
name: Dot Precision@5
verified: no, type: dot_precision@10
value: 0.174
name: Dot Precision@10
verified: no, type: dot_recall@1
value: 0.020055870806195596
name: Dot Recall@1
verified: no, type: dot_recall@3
value: 0.03516880470242261
name: Dot Recall@3
verified: no, type: dot_recall@5
value: 0.07436160102717629
name: Dot Recall@5
verified: no, type: dot_recall@10
value: 0.08924749441772001
name: Dot Recall@10
verified: no, type: dot_ndcg@10
value: 0.2174721143005973
name: Dot Ndcg@10
verified: no, type: dot_mrr@10
value: 0.3753888888888888
name: Dot Mrr@10
verified: no, type: dot_map@100
value: 0.08327101018955965
name: Dot Map@100
verified: no, type: query_active_dims
value: 101.91999816894531
name: Query Active Dims
verified: no, type: query_sparsity_ratio
value: 0.9966607693411655
name: Query Sparsity Ratio
verified: no, type: corpus_active_dims
value: 217.09109497070312
name: Corpus Active Dims
verified: no, type: corpus_sparsity_ratio
value: 0.9928873895887982
name: Corpus Sparsity Ratio
verified: no, task: type: sparse-information-retrieval
name: Sparse Information Retrieval
dataset: name: NanoQuoraRetrieval
type: NanoQuoraRetrieval
metrics: type: dot_accuracy@1
value: 0.9
name: Dot Accuracy@1
verified: no, type: dot_accuracy@3
value: 0.96
name: Dot Accuracy@3
verified: no, type: dot_accuracy@5
value: 0.96
name: Dot Accuracy@5
verified: no, type: dot_accuracy@10
value: 1
name: Dot Accuracy@10
verified: no, type: dot_precision@1
value: 0.9
name: Dot Precision@1
verified: no, type: dot_precision@3
value: 0.38666666666666655
name: Dot Precision@3
verified: no, type: dot_precision@5
value: 0.24799999999999997
name: Dot Precision@5
verified: no, type: dot_precision@10
value: 0.13599999999999998
name: Dot Precision@10
verified: no, type: dot_recall@1
value: 0.804
name: Dot Recall@1
verified: no, type: dot_recall@3
value: 0.9053333333333333
name: Dot Recall@3
verified: no, type: dot_recall@5
value: 0.9326666666666666
name: Dot Recall@5
verified: no, type: dot_recall@10
value: 0.99
name: Dot Recall@10
verified: no, type: dot_ndcg@10
value: 0.940813094731721
name: Dot Ndcg@10
verified: no, type: dot_mrr@10
value: 0.9366666666666665
name: Dot Mrr@10
verified: no, type: dot_map@100
value: 0.9174399766899767
name: Dot Map@100
verified: no, type: query_active_dims
value: 80.30000305175781
name: Query Active Dims
verified: no, type: query_sparsity_ratio
value: 0.9973691107053353
name: Query Sparsity Ratio
verified: no, type: corpus_active_dims
value: 83.33353424072266
name: Corpus Active Dims
verified: no, type: corpus_sparsity_ratio
value: 0.9972697223563096
name: Corpus Sparsity Ratio
verified: no, type: dot_accuracy@1
value: 0.9
name: Dot Accuracy@1
verified: no, type: dot_accuracy@3
value: 0.96
name: Dot Accuracy@3
verified: no, type: dot_accuracy@5
value: 1
name: Dot Accuracy@5
verified: no, type: dot_accuracy@10
value: 1
name: Dot Accuracy@10
verified: no, type: dot_precision@1
value: 0.9
name: Dot Precision@1
verified: no, type: dot_precision@3
value: 0.38666666666666655
name: Dot Precision@3
verified: no, type: dot_precision@5
value: 0.25599999999999995
name: Dot Precision@5
verified: no, type: dot_precision@10
value: 0.13599999999999998
name: Dot Precision@10
verified: no, type: dot_recall@1
value: 0.804
name: Dot Recall@1
verified: no, type: dot_recall@3
value: 0.9086666666666667
name: Dot Recall@3
verified: no, type: dot_recall@5
value: 0.97
name: Dot Recall@5
verified: no, type: dot_recall@10
value: 0.99
name: Dot Recall@10
verified: no, type: dot_ndcg@10
value: 0.9434418368741703
name: Dot Ndcg@10
verified: no, type: dot_mrr@10
value: 0.94
name: Dot Mrr@10
verified: no, type: dot_map@100
value: 0.9210437710437711
name: Dot Map@100
verified: no, type: query_active_dims
value: 87.4000015258789
name: Query Active Dims
verified: no, type: query_sparsity_ratio
value: 0.9971364916609043
name: Query Sparsity Ratio
verified: no, type: corpus_active_dims
value: 90.32620239257812
name: Corpus Active Dims
verified: no, type: corpus_sparsity_ratio
value: 0.997040619802353
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: 0.4
name: Dot Accuracy@1
verified: no, type: dot_accuracy@3
value: 0.565
name: Dot Accuracy@3
verified: no, type: dot_accuracy@5
value: 0.625
name: Dot Accuracy@5
verified: no, type: dot_accuracy@10
value: 0.71
name: Dot Accuracy@10
verified: no, type: dot_precision@1
value: 0.4
name: Dot Precision@1
verified: no, type: dot_precision@3
value: 0.22999999999999998
name: Dot Precision@3
verified: no, type: dot_precision@5
value: 0.166
name: Dot Precision@5
verified: no, type: dot_precision@10
value: 0.10750000000000001
name: Dot Precision@10
verified: no, type: dot_recall@1
value: 0.30601396770154893
name: Dot Recall@1
verified: no, type: dot_recall@3
value: 0.4470813973564776
name: Dot Recall@3
verified: no, type: dot_recall@5
value: 0.5039767289818324
name: Dot Recall@5
verified: no, type: dot_recall@10
value: 0.5843921903815238
name: Dot Recall@10
verified: no, type: dot_ndcg@10
value: 0.4927174602106791
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verified: no, type: dot_mrr@10
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verified: no
Likes: 0 | All-time downloads: 35
Created: 2025-06-19 10:36:01