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--- |
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base_model: avsolatorio/NoInstruct-small-Embedding-v0 |
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language: |
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- en |
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library_name: sentence-transformers |
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license: mit |
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pipeline_tag: sentence-similarity |
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tags: |
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- feature-extraction |
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- mteb |
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- sentence-similarity |
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- sentence-transformers |
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- transformers |
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- llama-cpp |
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- gguf-my-repo |
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model-index: |
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- name: NoInstruct-small-Embedding-v0 |
|
results: |
|
- task: |
|
type: Classification |
|
dataset: |
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name: MTEB AmazonCounterfactualClassification (en) |
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type: mteb/amazon_counterfactual |
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config: en |
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split: test |
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revision: e8379541af4e31359cca9fbcf4b00f2671dba205 |
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metrics: |
|
- type: accuracy |
|
value: 75.76119402985074 |
|
- type: ap |
|
value: 39.03628777559392 |
|
- type: f1 |
|
value: 69.85860402259618 |
|
- task: |
|
type: Classification |
|
dataset: |
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name: MTEB AmazonPolarityClassification |
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type: mteb/amazon_polarity |
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config: default |
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split: test |
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revision: e2d317d38cd51312af73b3d32a06d1a08b442046 |
|
metrics: |
|
- type: accuracy |
|
value: 93.29920000000001 |
|
- type: ap |
|
value: 90.03479490717608 |
|
- type: f1 |
|
value: 93.28554395248467 |
|
- task: |
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type: Classification |
|
dataset: |
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name: MTEB AmazonReviewsClassification (en) |
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type: mteb/amazon_reviews_multi |
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config: en |
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split: test |
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revision: 1399c76144fd37290681b995c656ef9b2e06e26d |
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metrics: |
|
- type: accuracy |
|
value: 49.98799999999999 |
|
- type: f1 |
|
value: 49.46151232451642 |
|
- task: |
|
type: Retrieval |
|
dataset: |
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name: MTEB ArguAna |
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type: mteb/arguana |
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config: default |
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split: test |
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revision: c22ab2a51041ffd869aaddef7af8d8215647e41a |
|
metrics: |
|
- type: map_at_1 |
|
value: 31.935000000000002 |
|
- type: map_at_10 |
|
value: 48.791000000000004 |
|
- type: map_at_100 |
|
value: 49.619 |
|
- type: map_at_1000 |
|
value: 49.623 |
|
- type: map_at_3 |
|
value: 44.334 |
|
- type: map_at_5 |
|
value: 46.908 |
|
- type: mrr_at_1 |
|
value: 32.93 |
|
- type: mrr_at_10 |
|
value: 49.158 |
|
- type: mrr_at_100 |
|
value: 50.00599999999999 |
|
- type: mrr_at_1000 |
|
value: 50.01 |
|
- type: mrr_at_3 |
|
value: 44.618 |
|
- type: mrr_at_5 |
|
value: 47.325 |
|
- type: ndcg_at_1 |
|
value: 31.935000000000002 |
|
- type: ndcg_at_10 |
|
value: 57.593 |
|
- type: ndcg_at_100 |
|
value: 60.841 |
|
- type: ndcg_at_1000 |
|
value: 60.924 |
|
- type: ndcg_at_3 |
|
value: 48.416 |
|
- type: ndcg_at_5 |
|
value: 53.05 |
|
- type: precision_at_1 |
|
value: 31.935000000000002 |
|
- type: precision_at_10 |
|
value: 8.549 |
|
- type: precision_at_100 |
|
value: 0.9900000000000001 |
|
- type: precision_at_1000 |
|
value: 0.1 |
|
- type: precision_at_3 |
|
value: 20.081 |
|
- type: precision_at_5 |
|
value: 14.296000000000001 |
|
- type: recall_at_1 |
|
value: 31.935000000000002 |
|
- type: recall_at_10 |
|
value: 85.491 |
|
- type: recall_at_100 |
|
value: 99.004 |
|
- type: recall_at_1000 |
|
value: 99.644 |
|
- type: recall_at_3 |
|
value: 60.242 |
|
- type: recall_at_5 |
|
value: 71.479 |
|
- task: |
|
type: Clustering |
|
dataset: |
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name: MTEB ArxivClusteringP2P |
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type: mteb/arxiv-clustering-p2p |
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config: default |
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split: test |
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revision: a122ad7f3f0291bf49cc6f4d32aa80929df69d5d |
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metrics: |
|
- type: v_measure |
|
value: 47.78438534940855 |
|
- task: |
|
type: Clustering |
|
dataset: |
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name: MTEB ArxivClusteringS2S |
|
type: mteb/arxiv-clustering-s2s |
|
config: default |
|
split: test |
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revision: f910caf1a6075f7329cdf8c1a6135696f37dbd53 |
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metrics: |
|
- type: v_measure |
|
value: 40.12916178519471 |
|
- task: |
|
type: Reranking |
|
dataset: |
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name: MTEB AskUbuntuDupQuestions |
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type: mteb/askubuntudupquestions-reranking |
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config: default |
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split: test |
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revision: 2000358ca161889fa9c082cb41daa8dcfb161a54 |
|
metrics: |
|
- type: map |
|
value: 62.125361608299855 |
|
- type: mrr |
|
value: 74.92525172580574 |
|
- task: |
|
type: STS |
|
dataset: |
|
name: MTEB BIOSSES |
|
type: mteb/biosses-sts |
|
config: default |
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split: test |
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revision: d3fb88f8f02e40887cd149695127462bbcf29b4a |
|
metrics: |
|
- type: cos_sim_pearson |
|
value: 88.64322910336641 |
|
- type: cos_sim_spearman |
|
value: 87.20138453306345 |
|
- type: euclidean_pearson |
|
value: 87.08547818178234 |
|
- type: euclidean_spearman |
|
value: 87.17066094143931 |
|
- type: manhattan_pearson |
|
value: 87.30053110771618 |
|
- type: manhattan_spearman |
|
value: 86.86824441211934 |
|
- task: |
|
type: Classification |
|
dataset: |
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name: MTEB Banking77Classification |
|
type: mteb/banking77 |
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config: default |
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split: test |
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revision: 0fd18e25b25c072e09e0d92ab615fda904d66300 |
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metrics: |
|
- type: accuracy |
|
value: 86.3961038961039 |
|
- type: f1 |
|
value: 86.3669961645295 |
|
- task: |
|
type: Clustering |
|
dataset: |
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name: MTEB BiorxivClusteringP2P |
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type: mteb/biorxiv-clustering-p2p |
|
config: default |
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split: test |
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revision: 65b79d1d13f80053f67aca9498d9402c2d9f1f40 |
|
metrics: |
|
- type: v_measure |
|
value: 39.40291404289857 |
|
- task: |
|
type: Clustering |
|
dataset: |
|
name: MTEB BiorxivClusteringS2S |
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type: mteb/biorxiv-clustering-s2s |
|
config: default |
|
split: test |
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revision: 258694dd0231531bc1fd9de6ceb52a0853c6d908 |
|
metrics: |
|
- type: v_measure |
|
value: 35.102356817746816 |
|
- task: |
|
type: Retrieval |
|
dataset: |
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name: MTEB CQADupstackAndroidRetrieval |
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type: mteb/cqadupstack-android |
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config: default |
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split: test |
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revision: f46a197baaae43b4f621051089b82a364682dfeb |
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metrics: |
|
- type: map_at_1 |
|
value: 31.013 |
|
- type: map_at_10 |
|
value: 42.681999999999995 |
|
- type: map_at_100 |
|
value: 44.24 |
|
- type: map_at_1000 |
|
value: 44.372 |
|
- type: map_at_3 |
|
value: 39.181 |
|
- type: map_at_5 |
|
value: 41.071999999999996 |
|
- type: mrr_at_1 |
|
value: 38.196999999999996 |
|
- type: mrr_at_10 |
|
value: 48.604 |
|
- type: mrr_at_100 |
|
value: 49.315 |
|
- type: mrr_at_1000 |
|
value: 49.363 |
|
- type: mrr_at_3 |
|
value: 45.756 |
|
- type: mrr_at_5 |
|
value: 47.43 |
|
- type: ndcg_at_1 |
|
value: 38.196999999999996 |
|
- type: ndcg_at_10 |
|
value: 49.344 |
|
- type: ndcg_at_100 |
|
value: 54.662 |
|
- type: ndcg_at_1000 |
|
value: 56.665 |
|
- type: ndcg_at_3 |
|
value: 44.146 |
|
- type: ndcg_at_5 |
|
value: 46.514 |
|
- type: precision_at_1 |
|
value: 38.196999999999996 |
|
- type: precision_at_10 |
|
value: 9.571 |
|
- type: precision_at_100 |
|
value: 1.542 |
|
- type: precision_at_1000 |
|
value: 0.202 |
|
- type: precision_at_3 |
|
value: 21.364 |
|
- type: precision_at_5 |
|
value: 15.336 |
|
- type: recall_at_1 |
|
value: 31.013 |
|
- type: recall_at_10 |
|
value: 61.934999999999995 |
|
- type: recall_at_100 |
|
value: 83.923 |
|
- type: recall_at_1000 |
|
value: 96.601 |
|
- type: recall_at_3 |
|
value: 46.86 |
|
- type: recall_at_5 |
|
value: 53.620000000000005 |
|
- task: |
|
type: Retrieval |
|
dataset: |
|
name: MTEB CQADupstackEnglishRetrieval |
|
type: mteb/cqadupstack-english |
|
config: default |
|
split: test |
|
revision: ad9991cb51e31e31e430383c75ffb2885547b5f0 |
|
metrics: |
|
- type: map_at_1 |
|
value: 29.84 |
|
- type: map_at_10 |
|
value: 39.335 |
|
- type: map_at_100 |
|
value: 40.647 |
|
- type: map_at_1000 |
|
value: 40.778 |
|
- type: map_at_3 |
|
value: 36.556 |
|
- type: map_at_5 |
|
value: 38.048 |
|
- type: mrr_at_1 |
|
value: 36.815 |
|
- type: mrr_at_10 |
|
value: 45.175 |
|
- type: mrr_at_100 |
|
value: 45.907 |
|
- type: mrr_at_1000 |
|
value: 45.946999999999996 |
|
- type: mrr_at_3 |
|
value: 42.909000000000006 |
|
- type: mrr_at_5 |
|
value: 44.227 |
|
- type: ndcg_at_1 |
|
value: 36.815 |
|
- type: ndcg_at_10 |
|
value: 44.783 |
|
- type: ndcg_at_100 |
|
value: 49.551 |
|
- type: ndcg_at_1000 |
|
value: 51.612 |
|
- type: ndcg_at_3 |
|
value: 40.697 |
|
- type: ndcg_at_5 |
|
value: 42.558 |
|
- type: precision_at_1 |
|
value: 36.815 |
|
- type: precision_at_10 |
|
value: 8.363 |
|
- type: precision_at_100 |
|
value: 1.385 |
|
- type: precision_at_1000 |
|
value: 0.186 |
|
- type: precision_at_3 |
|
value: 19.342000000000002 |
|
- type: precision_at_5 |
|
value: 13.706999999999999 |
|
- type: recall_at_1 |
|
value: 29.84 |
|
- type: recall_at_10 |
|
value: 54.164 |
|
- type: recall_at_100 |
|
value: 74.36 |
|
- type: recall_at_1000 |
|
value: 87.484 |
|
- type: recall_at_3 |
|
value: 42.306 |
|
- type: recall_at_5 |
|
value: 47.371 |
|
- task: |
|
type: Retrieval |
|
dataset: |
|
name: MTEB CQADupstackGamingRetrieval |
|
type: mteb/cqadupstack-gaming |
|
config: default |
|
split: test |
|
revision: 4885aa143210c98657558c04aaf3dc47cfb54340 |
|
metrics: |
|
- type: map_at_1 |
|
value: 39.231 |
|
- type: map_at_10 |
|
value: 51.44800000000001 |
|
- type: map_at_100 |
|
value: 52.574 |
|
- type: map_at_1000 |
|
value: 52.629999999999995 |
|
- type: map_at_3 |
|
value: 48.077 |
|
- type: map_at_5 |
|
value: 50.019000000000005 |
|
- type: mrr_at_1 |
|
value: 44.89 |
|
- type: mrr_at_10 |
|
value: 54.803000000000004 |
|
- type: mrr_at_100 |
|
value: 55.556000000000004 |
|
- type: mrr_at_1000 |
|
value: 55.584 |
|
- type: mrr_at_3 |
|
value: 52.32 |
|
- type: mrr_at_5 |
|
value: 53.846000000000004 |
|
- type: ndcg_at_1 |
|
value: 44.89 |
|
- type: ndcg_at_10 |
|
value: 57.228 |
|
- type: ndcg_at_100 |
|
value: 61.57 |
|
- type: ndcg_at_1000 |
|
value: 62.613 |
|
- type: ndcg_at_3 |
|
value: 51.727000000000004 |
|
- type: ndcg_at_5 |
|
value: 54.496 |
|
- type: precision_at_1 |
|
value: 44.89 |
|
- type: precision_at_10 |
|
value: 9.266 |
|
- type: precision_at_100 |
|
value: 1.2309999999999999 |
|
- type: precision_at_1000 |
|
value: 0.136 |
|
- type: precision_at_3 |
|
value: 23.051 |
|
- type: precision_at_5 |
|
value: 15.987000000000002 |
|
- type: recall_at_1 |
|
value: 39.231 |
|
- type: recall_at_10 |
|
value: 70.82000000000001 |
|
- type: recall_at_100 |
|
value: 89.446 |
|
- type: recall_at_1000 |
|
value: 96.665 |
|
- type: recall_at_3 |
|
value: 56.40500000000001 |
|
- type: recall_at_5 |
|
value: 62.993 |
|
- task: |
|
type: Retrieval |
|
dataset: |
|
name: MTEB CQADupstackGisRetrieval |
|
type: mteb/cqadupstack-gis |
|
config: default |
|
split: test |
|
revision: 5003b3064772da1887988e05400cf3806fe491f2 |
|
metrics: |
|
- type: map_at_1 |
|
value: 25.296000000000003 |
|
- type: map_at_10 |
|
value: 34.021 |
|
- type: map_at_100 |
|
value: 35.158 |
|
- type: map_at_1000 |
|
value: 35.233 |
|
- type: map_at_3 |
|
value: 31.424999999999997 |
|
- type: map_at_5 |
|
value: 33.046 |
|
- type: mrr_at_1 |
|
value: 27.232 |
|
- type: mrr_at_10 |
|
value: 36.103 |
|
- type: mrr_at_100 |
|
value: 37.076 |
|
- type: mrr_at_1000 |
|
value: 37.135 |
|
- type: mrr_at_3 |
|
value: 33.635 |
|
- type: mrr_at_5 |
|
value: 35.211 |
|
- type: ndcg_at_1 |
|
value: 27.232 |
|
- type: ndcg_at_10 |
|
value: 38.878 |
|
- type: ndcg_at_100 |
|
value: 44.284 |
|
- type: ndcg_at_1000 |
|
value: 46.268 |
|
- type: ndcg_at_3 |
|
value: 33.94 |
|
- type: ndcg_at_5 |
|
value: 36.687 |
|
- type: precision_at_1 |
|
value: 27.232 |
|
- type: precision_at_10 |
|
value: 5.921 |
|
- type: precision_at_100 |
|
value: 0.907 |
|
- type: precision_at_1000 |
|
value: 0.11199999999999999 |
|
- type: precision_at_3 |
|
value: 14.426 |
|
- type: precision_at_5 |
|
value: 10.215 |
|
- type: recall_at_1 |
|
value: 25.296000000000003 |
|
- type: recall_at_10 |
|
value: 51.708 |
|
- type: recall_at_100 |
|
value: 76.36699999999999 |
|
- type: recall_at_1000 |
|
value: 91.306 |
|
- type: recall_at_3 |
|
value: 38.651 |
|
- type: recall_at_5 |
|
value: 45.201 |
|
- task: |
|
type: Retrieval |
|
dataset: |
|
name: MTEB CQADupstackMathematicaRetrieval |
|
type: mteb/cqadupstack-mathematica |
|
config: default |
|
split: test |
|
revision: 90fceea13679c63fe563ded68f3b6f06e50061de |
|
metrics: |
|
- type: map_at_1 |
|
value: 16.24 |
|
- type: map_at_10 |
|
value: 24.696 |
|
- type: map_at_100 |
|
value: 25.945 |
|
- type: map_at_1000 |
|
value: 26.069 |
|
- type: map_at_3 |
|
value: 22.542 |
|
- type: map_at_5 |
|
value: 23.526 |
|
- type: mrr_at_1 |
|
value: 20.149 |
|
- type: mrr_at_10 |
|
value: 29.584 |
|
- type: mrr_at_100 |
|
value: 30.548 |
|
- type: mrr_at_1000 |
|
value: 30.618000000000002 |
|
- type: mrr_at_3 |
|
value: 27.301 |
|
- type: mrr_at_5 |
|
value: 28.563 |
|
- type: ndcg_at_1 |
|
value: 20.149 |
|
- type: ndcg_at_10 |
|
value: 30.029 |
|
- type: ndcg_at_100 |
|
value: 35.812 |
|
- type: ndcg_at_1000 |
|
value: 38.755 |
|
- type: ndcg_at_3 |
|
value: 26.008 |
|
- type: ndcg_at_5 |
|
value: 27.517000000000003 |
|
- type: precision_at_1 |
|
value: 20.149 |
|
- type: precision_at_10 |
|
value: 5.647 |
|
- type: precision_at_100 |
|
value: 0.968 |
|
- type: precision_at_1000 |
|
value: 0.136 |
|
- type: precision_at_3 |
|
value: 12.934999999999999 |
|
- type: precision_at_5 |
|
value: 8.955 |
|
- type: recall_at_1 |
|
value: 16.24 |
|
- type: recall_at_10 |
|
value: 41.464 |
|
- type: recall_at_100 |
|
value: 66.781 |
|
- type: recall_at_1000 |
|
value: 87.85300000000001 |
|
- type: recall_at_3 |
|
value: 29.822 |
|
- type: recall_at_5 |
|
value: 34.096 |
|
- task: |
|
type: Retrieval |
|
dataset: |
|
name: MTEB CQADupstackPhysicsRetrieval |
|
type: mteb/cqadupstack-physics |
|
config: default |
|
split: test |
|
revision: 79531abbd1fb92d06c6d6315a0cbbbf5bb247ea4 |
|
metrics: |
|
- type: map_at_1 |
|
value: 29.044999999999998 |
|
- type: map_at_10 |
|
value: 39.568999999999996 |
|
- type: map_at_100 |
|
value: 40.831 |
|
- type: map_at_1000 |
|
value: 40.948 |
|
- type: map_at_3 |
|
value: 36.495 |
|
- type: map_at_5 |
|
value: 38.21 |
|
- type: mrr_at_1 |
|
value: 35.611 |
|
- type: mrr_at_10 |
|
value: 45.175 |
|
- type: mrr_at_100 |
|
value: 45.974 |
|
- type: mrr_at_1000 |
|
value: 46.025 |
|
- type: mrr_at_3 |
|
value: 42.765 |
|
- type: mrr_at_5 |
|
value: 44.151 |
|
- type: ndcg_at_1 |
|
value: 35.611 |
|
- type: ndcg_at_10 |
|
value: 45.556999999999995 |
|
- type: ndcg_at_100 |
|
value: 50.86000000000001 |
|
- type: ndcg_at_1000 |
|
value: 52.983000000000004 |
|
- type: ndcg_at_3 |
|
value: 40.881 |
|
- type: ndcg_at_5 |
|
value: 43.035000000000004 |
|
- type: precision_at_1 |
|
value: 35.611 |
|
- type: precision_at_10 |
|
value: 8.306 |
|
- type: precision_at_100 |
|
value: 1.276 |
|
- type: precision_at_1000 |
|
value: 0.165 |
|
- type: precision_at_3 |
|
value: 19.57 |
|
- type: precision_at_5 |
|
value: 13.725000000000001 |
|
- type: recall_at_1 |
|
value: 29.044999999999998 |
|
- type: recall_at_10 |
|
value: 57.513999999999996 |
|
- type: recall_at_100 |
|
value: 80.152 |
|
- type: recall_at_1000 |
|
value: 93.982 |
|
- type: recall_at_3 |
|
value: 44.121 |
|
- type: recall_at_5 |
|
value: 50.007000000000005 |
|
- task: |
|
type: Retrieval |
|
dataset: |
|
name: MTEB CQADupstackProgrammersRetrieval |
|
type: mteb/cqadupstack-programmers |
|
config: default |
|
split: test |
|
revision: 6184bc1440d2dbc7612be22b50686b8826d22b32 |
|
metrics: |
|
- type: map_at_1 |
|
value: 22.349 |
|
- type: map_at_10 |
|
value: 33.434000000000005 |
|
- type: map_at_100 |
|
value: 34.8 |
|
- type: map_at_1000 |
|
value: 34.919 |
|
- type: map_at_3 |
|
value: 30.348000000000003 |
|
- type: map_at_5 |
|
value: 31.917 |
|
- type: mrr_at_1 |
|
value: 28.195999999999998 |
|
- type: mrr_at_10 |
|
value: 38.557 |
|
- type: mrr_at_100 |
|
value: 39.550999999999995 |
|
- type: mrr_at_1000 |
|
value: 39.607 |
|
- type: mrr_at_3 |
|
value: 36.035000000000004 |
|
- type: mrr_at_5 |
|
value: 37.364999999999995 |
|
- type: ndcg_at_1 |
|
value: 28.195999999999998 |
|
- type: ndcg_at_10 |
|
value: 39.656000000000006 |
|
- type: ndcg_at_100 |
|
value: 45.507999999999996 |
|
- type: ndcg_at_1000 |
|
value: 47.848 |
|
- type: ndcg_at_3 |
|
value: 34.609 |
|
- type: ndcg_at_5 |
|
value: 36.65 |
|
- type: precision_at_1 |
|
value: 28.195999999999998 |
|
- type: precision_at_10 |
|
value: 7.534000000000001 |
|
- type: precision_at_100 |
|
value: 1.217 |
|
- type: precision_at_1000 |
|
value: 0.158 |
|
- type: precision_at_3 |
|
value: 17.085 |
|
- type: precision_at_5 |
|
value: 12.169 |
|
- type: recall_at_1 |
|
value: 22.349 |
|
- type: recall_at_10 |
|
value: 53.127 |
|
- type: recall_at_100 |
|
value: 77.884 |
|
- type: recall_at_1000 |
|
value: 93.705 |
|
- type: recall_at_3 |
|
value: 38.611000000000004 |
|
- type: recall_at_5 |
|
value: 44.182 |
|
- task: |
|
type: Retrieval |
|
dataset: |
|
name: MTEB CQADupstackRetrieval |
|
type: mteb/cqadupstack |
|
config: default |
|
split: test |
|
revision: 4ffe81d471b1924886b33c7567bfb200e9eec5c4 |
|
metrics: |
|
- type: map_at_1 |
|
value: 25.215749999999996 |
|
- type: map_at_10 |
|
value: 34.332750000000004 |
|
- type: map_at_100 |
|
value: 35.58683333333333 |
|
- type: map_at_1000 |
|
value: 35.70458333333333 |
|
- type: map_at_3 |
|
value: 31.55441666666667 |
|
- type: map_at_5 |
|
value: 33.100833333333334 |
|
- type: mrr_at_1 |
|
value: 29.697250000000004 |
|
- type: mrr_at_10 |
|
value: 38.372249999999994 |
|
- type: mrr_at_100 |
|
value: 39.26708333333334 |
|
- type: mrr_at_1000 |
|
value: 39.3265 |
|
- type: mrr_at_3 |
|
value: 35.946083333333334 |
|
- type: mrr_at_5 |
|
value: 37.336999999999996 |
|
- type: ndcg_at_1 |
|
value: 29.697250000000004 |
|
- type: ndcg_at_10 |
|
value: 39.64575 |
|
- type: ndcg_at_100 |
|
value: 44.996833333333335 |
|
- type: ndcg_at_1000 |
|
value: 47.314499999999995 |
|
- type: ndcg_at_3 |
|
value: 34.93383333333334 |
|
- type: ndcg_at_5 |
|
value: 37.15291666666667 |
|
- type: precision_at_1 |
|
value: 29.697250000000004 |
|
- type: precision_at_10 |
|
value: 6.98825 |
|
- type: precision_at_100 |
|
value: 1.138 |
|
- type: precision_at_1000 |
|
value: 0.15283333333333332 |
|
- type: precision_at_3 |
|
value: 16.115583333333333 |
|
- type: precision_at_5 |
|
value: 11.460916666666666 |
|
- type: recall_at_1 |
|
value: 25.215749999999996 |
|
- type: recall_at_10 |
|
value: 51.261250000000004 |
|
- type: recall_at_100 |
|
value: 74.67258333333334 |
|
- type: recall_at_1000 |
|
value: 90.72033333333334 |
|
- type: recall_at_3 |
|
value: 38.1795 |
|
- type: recall_at_5 |
|
value: 43.90658333333334 |
|
- task: |
|
type: Retrieval |
|
dataset: |
|
name: MTEB CQADupstackStatsRetrieval |
|
type: mteb/cqadupstack-stats |
|
config: default |
|
split: test |
|
revision: 65ac3a16b8e91f9cee4c9828cc7c335575432a2a |
|
metrics: |
|
- type: map_at_1 |
|
value: 24.352 |
|
- type: map_at_10 |
|
value: 30.576999999999998 |
|
- type: map_at_100 |
|
value: 31.545 |
|
- type: map_at_1000 |
|
value: 31.642 |
|
- type: map_at_3 |
|
value: 28.605000000000004 |
|
- type: map_at_5 |
|
value: 29.828 |
|
- type: mrr_at_1 |
|
value: 26.994 |
|
- type: mrr_at_10 |
|
value: 33.151 |
|
- type: mrr_at_100 |
|
value: 33.973 |
|
- type: mrr_at_1000 |
|
value: 34.044999999999995 |
|
- type: mrr_at_3 |
|
value: 31.135 |
|
- type: mrr_at_5 |
|
value: 32.262 |
|
- type: ndcg_at_1 |
|
value: 26.994 |
|
- type: ndcg_at_10 |
|
value: 34.307 |
|
- type: ndcg_at_100 |
|
value: 39.079 |
|
- type: ndcg_at_1000 |
|
value: 41.548 |
|
- type: ndcg_at_3 |
|
value: 30.581000000000003 |
|
- type: ndcg_at_5 |
|
value: 32.541 |
|
- type: precision_at_1 |
|
value: 26.994 |
|
- type: precision_at_10 |
|
value: 5.244999999999999 |
|
- type: precision_at_100 |
|
value: 0.831 |
|
- type: precision_at_1000 |
|
value: 0.11100000000000002 |
|
- type: precision_at_3 |
|
value: 12.781 |
|
- type: precision_at_5 |
|
value: 9.017999999999999 |
|
- type: recall_at_1 |
|
value: 24.352 |
|
- type: recall_at_10 |
|
value: 43.126999999999995 |
|
- type: recall_at_100 |
|
value: 64.845 |
|
- type: recall_at_1000 |
|
value: 83.244 |
|
- type: recall_at_3 |
|
value: 33.308 |
|
- type: recall_at_5 |
|
value: 37.984 |
|
- task: |
|
type: Retrieval |
|
dataset: |
|
name: MTEB CQADupstackTexRetrieval |
|
type: mteb/cqadupstack-tex |
|
config: default |
|
split: test |
|
revision: 46989137a86843e03a6195de44b09deda022eec7 |
|
metrics: |
|
- type: map_at_1 |
|
value: 16.592000000000002 |
|
- type: map_at_10 |
|
value: 23.29 |
|
- type: map_at_100 |
|
value: 24.423000000000002 |
|
- type: map_at_1000 |
|
value: 24.554000000000002 |
|
- type: map_at_3 |
|
value: 20.958 |
|
- type: map_at_5 |
|
value: 22.267 |
|
- type: mrr_at_1 |
|
value: 20.061999999999998 |
|
- type: mrr_at_10 |
|
value: 26.973999999999997 |
|
- type: mrr_at_100 |
|
value: 27.944999999999997 |
|
- type: mrr_at_1000 |
|
value: 28.023999999999997 |
|
- type: mrr_at_3 |
|
value: 24.839 |
|
- type: mrr_at_5 |
|
value: 26.033 |
|
- type: ndcg_at_1 |
|
value: 20.061999999999998 |
|
- type: ndcg_at_10 |
|
value: 27.682000000000002 |
|
- type: ndcg_at_100 |
|
value: 33.196 |
|
- type: ndcg_at_1000 |
|
value: 36.246 |
|
- type: ndcg_at_3 |
|
value: 23.559 |
|
- type: ndcg_at_5 |
|
value: 25.507 |
|
- type: precision_at_1 |
|
value: 20.061999999999998 |
|
- type: precision_at_10 |
|
value: 5.086 |
|
- type: precision_at_100 |
|
value: 0.9249999999999999 |
|
- type: precision_at_1000 |
|
value: 0.136 |
|
- type: precision_at_3 |
|
value: 11.046 |
|
- type: precision_at_5 |
|
value: 8.149000000000001 |
|
- type: recall_at_1 |
|
value: 16.592000000000002 |
|
- type: recall_at_10 |
|
value: 37.181999999999995 |
|
- type: recall_at_100 |
|
value: 62.224999999999994 |
|
- type: recall_at_1000 |
|
value: 84.072 |
|
- type: recall_at_3 |
|
value: 25.776 |
|
- type: recall_at_5 |
|
value: 30.680000000000003 |
|
- task: |
|
type: Retrieval |
|
dataset: |
|
name: MTEB CQADupstackUnixRetrieval |
|
type: mteb/cqadupstack-unix |
|
config: default |
|
split: test |
|
revision: 6c6430d3a6d36f8d2a829195bc5dc94d7e063e53 |
|
metrics: |
|
- type: map_at_1 |
|
value: 26.035999999999998 |
|
- type: map_at_10 |
|
value: 34.447 |
|
- type: map_at_100 |
|
value: 35.697 |
|
- type: map_at_1000 |
|
value: 35.802 |
|
- type: map_at_3 |
|
value: 31.64 |
|
- type: map_at_5 |
|
value: 33.056999999999995 |
|
- type: mrr_at_1 |
|
value: 29.851 |
|
- type: mrr_at_10 |
|
value: 38.143 |
|
- type: mrr_at_100 |
|
value: 39.113 |
|
- type: mrr_at_1000 |
|
value: 39.175 |
|
- type: mrr_at_3 |
|
value: 35.665 |
|
- type: mrr_at_5 |
|
value: 36.901 |
|
- type: ndcg_at_1 |
|
value: 29.851 |
|
- type: ndcg_at_10 |
|
value: 39.554 |
|
- type: ndcg_at_100 |
|
value: 45.091 |
|
- type: ndcg_at_1000 |
|
value: 47.504000000000005 |
|
- type: ndcg_at_3 |
|
value: 34.414 |
|
- type: ndcg_at_5 |
|
value: 36.508 |
|
- type: precision_at_1 |
|
value: 29.851 |
|
- type: precision_at_10 |
|
value: 6.614000000000001 |
|
- type: precision_at_100 |
|
value: 1.051 |
|
- type: precision_at_1000 |
|
value: 0.13699999999999998 |
|
- type: precision_at_3 |
|
value: 15.329999999999998 |
|
- type: precision_at_5 |
|
value: 10.671999999999999 |
|
- type: recall_at_1 |
|
value: 26.035999999999998 |
|
- type: recall_at_10 |
|
value: 51.396 |
|
- type: recall_at_100 |
|
value: 75.09 |
|
- type: recall_at_1000 |
|
value: 91.904 |
|
- type: recall_at_3 |
|
value: 37.378 |
|
- type: recall_at_5 |
|
value: 42.69 |
|
- task: |
|
type: Retrieval |
|
dataset: |
|
name: MTEB CQADupstackWebmastersRetrieval |
|
type: mteb/cqadupstack-webmasters |
|
config: default |
|
split: test |
|
revision: 160c094312a0e1facb97e55eeddb698c0abe3571 |
|
metrics: |
|
- type: map_at_1 |
|
value: 23.211000000000002 |
|
- type: map_at_10 |
|
value: 32.231 |
|
- type: map_at_100 |
|
value: 33.772999999999996 |
|
- type: map_at_1000 |
|
value: 33.982 |
|
- type: map_at_3 |
|
value: 29.128 |
|
- type: map_at_5 |
|
value: 31.002999999999997 |
|
- type: mrr_at_1 |
|
value: 27.668 |
|
- type: mrr_at_10 |
|
value: 36.388 |
|
- type: mrr_at_100 |
|
value: 37.384 |
|
- type: mrr_at_1000 |
|
value: 37.44 |
|
- type: mrr_at_3 |
|
value: 33.762 |
|
- type: mrr_at_5 |
|
value: 35.234 |
|
- type: ndcg_at_1 |
|
value: 27.668 |
|
- type: ndcg_at_10 |
|
value: 38.043 |
|
- type: ndcg_at_100 |
|
value: 44.21 |
|
- type: ndcg_at_1000 |
|
value: 46.748 |
|
- type: ndcg_at_3 |
|
value: 32.981 |
|
- type: ndcg_at_5 |
|
value: 35.58 |
|
- type: precision_at_1 |
|
value: 27.668 |
|
- type: precision_at_10 |
|
value: 7.352 |
|
- type: precision_at_100 |
|
value: 1.5 |
|
- type: precision_at_1000 |
|
value: 0.23700000000000002 |
|
- type: precision_at_3 |
|
value: 15.613 |
|
- type: precision_at_5 |
|
value: 11.501999999999999 |
|
- type: recall_at_1 |
|
value: 23.211000000000002 |
|
- type: recall_at_10 |
|
value: 49.851 |
|
- type: recall_at_100 |
|
value: 77.596 |
|
- type: recall_at_1000 |
|
value: 93.683 |
|
- type: recall_at_3 |
|
value: 35.403 |
|
- type: recall_at_5 |
|
value: 42.485 |
|
- task: |
|
type: Retrieval |
|
dataset: |
|
name: MTEB CQADupstackWordpressRetrieval |
|
type: mteb/cqadupstack-wordpress |
|
config: default |
|
split: test |
|
revision: 4ffe81d471b1924886b33c7567bfb200e9eec5c4 |
|
metrics: |
|
- type: map_at_1 |
|
value: 19.384 |
|
- type: map_at_10 |
|
value: 26.262999999999998 |
|
- type: map_at_100 |
|
value: 27.409 |
|
- type: map_at_1000 |
|
value: 27.526 |
|
- type: map_at_3 |
|
value: 23.698 |
|
- type: map_at_5 |
|
value: 25.217 |
|
- type: mrr_at_1 |
|
value: 20.702 |
|
- type: mrr_at_10 |
|
value: 27.810000000000002 |
|
- type: mrr_at_100 |
|
value: 28.863 |
|
- type: mrr_at_1000 |
|
value: 28.955 |
|
- type: mrr_at_3 |
|
value: 25.230999999999998 |
|
- type: mrr_at_5 |
|
value: 26.821 |
|
- type: ndcg_at_1 |
|
value: 20.702 |
|
- type: ndcg_at_10 |
|
value: 30.688 |
|
- type: ndcg_at_100 |
|
value: 36.138999999999996 |
|
- type: ndcg_at_1000 |
|
value: 38.984 |
|
- type: ndcg_at_3 |
|
value: 25.663000000000004 |
|
- type: ndcg_at_5 |
|
value: 28.242 |
|
- type: precision_at_1 |
|
value: 20.702 |
|
- type: precision_at_10 |
|
value: 4.954 |
|
- type: precision_at_100 |
|
value: 0.823 |
|
- type: precision_at_1000 |
|
value: 0.11800000000000001 |
|
- type: precision_at_3 |
|
value: 10.844 |
|
- type: precision_at_5 |
|
value: 8.096 |
|
- type: recall_at_1 |
|
value: 19.384 |
|
- type: recall_at_10 |
|
value: 42.847 |
|
- type: recall_at_100 |
|
value: 67.402 |
|
- type: recall_at_1000 |
|
value: 88.145 |
|
- type: recall_at_3 |
|
value: 29.513 |
|
- type: recall_at_5 |
|
value: 35.57 |
|
- task: |
|
type: Retrieval |
|
dataset: |
|
name: MTEB ClimateFEVER |
|
type: mteb/climate-fever |
|
config: default |
|
split: test |
|
revision: 47f2ac6acb640fc46020b02a5b59fdda04d39380 |
|
metrics: |
|
- type: map_at_1 |
|
value: 14.915000000000001 |
|
- type: map_at_10 |
|
value: 25.846999999999998 |
|
- type: map_at_100 |
|
value: 27.741 |
|
- type: map_at_1000 |
|
value: 27.921000000000003 |
|
- type: map_at_3 |
|
value: 21.718 |
|
- type: map_at_5 |
|
value: 23.948 |
|
- type: mrr_at_1 |
|
value: 33.941 |
|
- type: mrr_at_10 |
|
value: 46.897 |
|
- type: mrr_at_100 |
|
value: 47.63 |
|
- type: mrr_at_1000 |
|
value: 47.658 |
|
- type: mrr_at_3 |
|
value: 43.919999999999995 |
|
- type: mrr_at_5 |
|
value: 45.783 |
|
- type: ndcg_at_1 |
|
value: 33.941 |
|
- type: ndcg_at_10 |
|
value: 35.202 |
|
- type: ndcg_at_100 |
|
value: 42.132 |
|
- type: ndcg_at_1000 |
|
value: 45.190999999999995 |
|
- type: ndcg_at_3 |
|
value: 29.68 |
|
- type: ndcg_at_5 |
|
value: 31.631999999999998 |
|
- type: precision_at_1 |
|
value: 33.941 |
|
- type: precision_at_10 |
|
value: 10.906 |
|
- type: precision_at_100 |
|
value: 1.8339999999999999 |
|
- type: precision_at_1000 |
|
value: 0.241 |
|
- type: precision_at_3 |
|
value: 22.606 |
|
- type: precision_at_5 |
|
value: 17.081 |
|
- type: recall_at_1 |
|
value: 14.915000000000001 |
|
- type: recall_at_10 |
|
value: 40.737 |
|
- type: recall_at_100 |
|
value: 64.42 |
|
- type: recall_at_1000 |
|
value: 81.435 |
|
- type: recall_at_3 |
|
value: 26.767000000000003 |
|
- type: recall_at_5 |
|
value: 32.895 |
|
- task: |
|
type: Retrieval |
|
dataset: |
|
name: MTEB DBPedia |
|
type: mteb/dbpedia |
|
config: default |
|
split: test |
|
revision: c0f706b76e590d620bd6618b3ca8efdd34e2d659 |
|
metrics: |
|
- type: map_at_1 |
|
value: 8.665000000000001 |
|
- type: map_at_10 |
|
value: 19.087 |
|
- type: map_at_100 |
|
value: 26.555 |
|
- type: map_at_1000 |
|
value: 28.105999999999998 |
|
- type: map_at_3 |
|
value: 13.858999999999998 |
|
- type: map_at_5 |
|
value: 16.083 |
|
- type: mrr_at_1 |
|
value: 68.5 |
|
- type: mrr_at_10 |
|
value: 76.725 |
|
- type: mrr_at_100 |
|
value: 76.974 |
|
- type: mrr_at_1000 |
|
value: 76.981 |
|
- type: mrr_at_3 |
|
value: 75.583 |
|
- type: mrr_at_5 |
|
value: 76.208 |
|
- type: ndcg_at_1 |
|
value: 55.875 |
|
- type: ndcg_at_10 |
|
value: 41.018 |
|
- type: ndcg_at_100 |
|
value: 44.982 |
|
- type: ndcg_at_1000 |
|
value: 52.43 |
|
- type: ndcg_at_3 |
|
value: 46.534 |
|
- type: ndcg_at_5 |
|
value: 43.083 |
|
- type: precision_at_1 |
|
value: 68.5 |
|
- type: precision_at_10 |
|
value: 32.35 |
|
- type: precision_at_100 |
|
value: 10.078 |
|
- type: precision_at_1000 |
|
value: 1.957 |
|
- type: precision_at_3 |
|
value: 50.083 |
|
- type: precision_at_5 |
|
value: 41.3 |
|
- type: recall_at_1 |
|
value: 8.665000000000001 |
|
- type: recall_at_10 |
|
value: 24.596999999999998 |
|
- type: recall_at_100 |
|
value: 50.612 |
|
- type: recall_at_1000 |
|
value: 74.24 |
|
- type: recall_at_3 |
|
value: 15.337 |
|
- type: recall_at_5 |
|
value: 18.796 |
|
- task: |
|
type: Classification |
|
dataset: |
|
name: MTEB EmotionClassification |
|
type: mteb/emotion |
|
config: default |
|
split: test |
|
revision: 4f58c6b202a23cf9a4da393831edf4f9183cad37 |
|
metrics: |
|
- type: accuracy |
|
value: 55.06500000000001 |
|
- type: f1 |
|
value: 49.827367590822035 |
|
- task: |
|
type: Retrieval |
|
dataset: |
|
name: MTEB FEVER |
|
type: mteb/fever |
|
config: default |
|
split: test |
|
revision: bea83ef9e8fb933d90a2f1d5515737465d613e12 |
|
metrics: |
|
- type: map_at_1 |
|
value: 76.059 |
|
- type: map_at_10 |
|
value: 83.625 |
|
- type: map_at_100 |
|
value: 83.845 |
|
- type: map_at_1000 |
|
value: 83.858 |
|
- type: map_at_3 |
|
value: 82.67099999999999 |
|
- type: map_at_5 |
|
value: 83.223 |
|
- type: mrr_at_1 |
|
value: 82.013 |
|
- type: mrr_at_10 |
|
value: 88.44800000000001 |
|
- type: mrr_at_100 |
|
value: 88.535 |
|
- type: mrr_at_1000 |
|
value: 88.537 |
|
- type: mrr_at_3 |
|
value: 87.854 |
|
- type: mrr_at_5 |
|
value: 88.221 |
|
- type: ndcg_at_1 |
|
value: 82.013 |
|
- type: ndcg_at_10 |
|
value: 87.128 |
|
- type: ndcg_at_100 |
|
value: 87.922 |
|
- type: ndcg_at_1000 |
|
value: 88.166 |
|
- type: ndcg_at_3 |
|
value: 85.648 |
|
- type: ndcg_at_5 |
|
value: 86.366 |
|
- type: precision_at_1 |
|
value: 82.013 |
|
- type: precision_at_10 |
|
value: 10.32 |
|
- type: precision_at_100 |
|
value: 1.093 |
|
- type: precision_at_1000 |
|
value: 0.11299999999999999 |
|
- type: precision_at_3 |
|
value: 32.408 |
|
- type: precision_at_5 |
|
value: 19.973 |
|
- type: recall_at_1 |
|
value: 76.059 |
|
- type: recall_at_10 |
|
value: 93.229 |
|
- type: recall_at_100 |
|
value: 96.387 |
|
- type: recall_at_1000 |
|
value: 97.916 |
|
- type: recall_at_3 |
|
value: 89.025 |
|
- type: recall_at_5 |
|
value: 90.96300000000001 |
|
- task: |
|
type: Retrieval |
|
dataset: |
|
name: MTEB FiQA2018 |
|
type: mteb/fiqa |
|
config: default |
|
split: test |
|
revision: 27a168819829fe9bcd655c2df245fb19452e8e06 |
|
metrics: |
|
- type: map_at_1 |
|
value: 20.479 |
|
- type: map_at_10 |
|
value: 33.109 |
|
- type: map_at_100 |
|
value: 34.803 |
|
- type: map_at_1000 |
|
value: 35.003 |
|
- type: map_at_3 |
|
value: 28.967 |
|
- type: map_at_5 |
|
value: 31.385 |
|
- type: mrr_at_1 |
|
value: 40.278000000000006 |
|
- type: mrr_at_10 |
|
value: 48.929 |
|
- type: mrr_at_100 |
|
value: 49.655 |
|
- type: mrr_at_1000 |
|
value: 49.691 |
|
- type: mrr_at_3 |
|
value: 46.605000000000004 |
|
- type: mrr_at_5 |
|
value: 48.056 |
|
- type: ndcg_at_1 |
|
value: 40.278000000000006 |
|
- type: ndcg_at_10 |
|
value: 40.649 |
|
- type: ndcg_at_100 |
|
value: 47.027 |
|
- type: ndcg_at_1000 |
|
value: 50.249 |
|
- type: ndcg_at_3 |
|
value: 37.364000000000004 |
|
- type: ndcg_at_5 |
|
value: 38.494 |
|
- type: precision_at_1 |
|
value: 40.278000000000006 |
|
- type: precision_at_10 |
|
value: 11.327 |
|
- type: precision_at_100 |
|
value: 1.802 |
|
- type: precision_at_1000 |
|
value: 0.23700000000000002 |
|
- type: precision_at_3 |
|
value: 25.102999999999998 |
|
- type: precision_at_5 |
|
value: 18.457 |
|
- type: recall_at_1 |
|
value: 20.479 |
|
- type: recall_at_10 |
|
value: 46.594 |
|
- type: recall_at_100 |
|
value: 71.101 |
|
- type: recall_at_1000 |
|
value: 90.31099999999999 |
|
- type: recall_at_3 |
|
value: 33.378 |
|
- type: recall_at_5 |
|
value: 39.587 |
|
- task: |
|
type: Retrieval |
|
dataset: |
|
name: MTEB HotpotQA |
|
type: mteb/hotpotqa |
|
config: default |
|
split: test |
|
revision: ab518f4d6fcca38d87c25209f94beba119d02014 |
|
metrics: |
|
- type: map_at_1 |
|
value: 36.59 |
|
- type: map_at_10 |
|
value: 58.178 |
|
- type: map_at_100 |
|
value: 59.095 |
|
- type: map_at_1000 |
|
value: 59.16400000000001 |
|
- type: map_at_3 |
|
value: 54.907 |
|
- type: map_at_5 |
|
value: 56.89999999999999 |
|
- type: mrr_at_1 |
|
value: 73.18 |
|
- type: mrr_at_10 |
|
value: 79.935 |
|
- type: mrr_at_100 |
|
value: 80.16799999999999 |
|
- type: mrr_at_1000 |
|
value: 80.17800000000001 |
|
- type: mrr_at_3 |
|
value: 78.776 |
|
- type: mrr_at_5 |
|
value: 79.522 |
|
- type: ndcg_at_1 |
|
value: 73.18 |
|
- type: ndcg_at_10 |
|
value: 66.538 |
|
- type: ndcg_at_100 |
|
value: 69.78 |
|
- type: ndcg_at_1000 |
|
value: 71.102 |
|
- type: ndcg_at_3 |
|
value: 61.739 |
|
- type: ndcg_at_5 |
|
value: 64.35600000000001 |
|
- type: precision_at_1 |
|
value: 73.18 |
|
- type: precision_at_10 |
|
value: 14.035 |
|
- type: precision_at_100 |
|
value: 1.657 |
|
- type: precision_at_1000 |
|
value: 0.183 |
|
- type: precision_at_3 |
|
value: 39.684999999999995 |
|
- type: precision_at_5 |
|
value: 25.885 |
|
- type: recall_at_1 |
|
value: 36.59 |
|
- type: recall_at_10 |
|
value: 70.176 |
|
- type: recall_at_100 |
|
value: 82.836 |
|
- type: recall_at_1000 |
|
value: 91.526 |
|
- type: recall_at_3 |
|
value: 59.526999999999994 |
|
- type: recall_at_5 |
|
value: 64.713 |
|
- task: |
|
type: Classification |
|
dataset: |
|
name: MTEB ImdbClassification |
|
type: mteb/imdb |
|
config: default |
|
split: test |
|
revision: 3d86128a09e091d6018b6d26cad27f2739fc2db7 |
|
metrics: |
|
- type: accuracy |
|
value: 90.1472 |
|
- type: ap |
|
value: 85.73994227076815 |
|
- type: f1 |
|
value: 90.1271700788608 |
|
- task: |
|
type: Retrieval |
|
dataset: |
|
name: MTEB MSMARCO |
|
type: mteb/msmarco |
|
config: default |
|
split: dev |
|
revision: c5a29a104738b98a9e76336939199e264163d4a0 |
|
metrics: |
|
- type: map_at_1 |
|
value: 21.689 |
|
- type: map_at_10 |
|
value: 33.518 |
|
- type: map_at_100 |
|
value: 34.715 |
|
- type: map_at_1000 |
|
value: 34.766000000000005 |
|
- type: map_at_3 |
|
value: 29.781000000000002 |
|
- type: map_at_5 |
|
value: 31.838 |
|
- type: mrr_at_1 |
|
value: 22.249 |
|
- type: mrr_at_10 |
|
value: 34.085 |
|
- type: mrr_at_100 |
|
value: 35.223 |
|
- type: mrr_at_1000 |
|
value: 35.266999999999996 |
|
- type: mrr_at_3 |
|
value: 30.398999999999997 |
|
- type: mrr_at_5 |
|
value: 32.437 |
|
- type: ndcg_at_1 |
|
value: 22.249 |
|
- type: ndcg_at_10 |
|
value: 40.227000000000004 |
|
- type: ndcg_at_100 |
|
value: 45.961999999999996 |
|
- type: ndcg_at_1000 |
|
value: 47.248000000000005 |
|
- type: ndcg_at_3 |
|
value: 32.566 |
|
- type: ndcg_at_5 |
|
value: 36.229 |
|
- type: precision_at_1 |
|
value: 22.249 |
|
- type: precision_at_10 |
|
value: 6.358 |
|
- type: precision_at_100 |
|
value: 0.923 |
|
- type: precision_at_1000 |
|
value: 0.10300000000000001 |
|
- type: precision_at_3 |
|
value: 13.83 |
|
- type: precision_at_5 |
|
value: 10.145999999999999 |
|
- type: recall_at_1 |
|
value: 21.689 |
|
- type: recall_at_10 |
|
value: 60.92999999999999 |
|
- type: recall_at_100 |
|
value: 87.40599999999999 |
|
- type: recall_at_1000 |
|
value: 97.283 |
|
- type: recall_at_3 |
|
value: 40.01 |
|
- type: recall_at_5 |
|
value: 48.776 |
|
- task: |
|
type: Classification |
|
dataset: |
|
name: MTEB MTOPDomainClassification (en) |
|
type: mteb/mtop_domain |
|
config: en |
|
split: test |
|
revision: d80d48c1eb48d3562165c59d59d0034df9fff0bf |
|
metrics: |
|
- type: accuracy |
|
value: 95.28727770177838 |
|
- type: f1 |
|
value: 95.02577308660041 |
|
- task: |
|
type: Classification |
|
dataset: |
|
name: MTEB MTOPIntentClassification (en) |
|
type: mteb/mtop_intent |
|
config: en |
|
split: test |
|
revision: ae001d0e6b1228650b7bd1c2c65fb50ad11a8aba |
|
metrics: |
|
- type: accuracy |
|
value: 79.5736434108527 |
|
- type: f1 |
|
value: 61.2451202054398 |
|
- task: |
|
type: Classification |
|
dataset: |
|
name: MTEB MassiveIntentClassification (en) |
|
type: mteb/amazon_massive_intent |
|
config: en |
|
split: test |
|
revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7 |
|
metrics: |
|
- type: accuracy |
|
value: 76.01210490921318 |
|
- type: f1 |
|
value: 73.70188053982473 |
|
- task: |
|
type: Classification |
|
dataset: |
|
name: MTEB MassiveScenarioClassification (en) |
|
type: mteb/amazon_massive_scenario |
|
config: en |
|
split: test |
|
revision: 7d571f92784cd94a019292a1f45445077d0ef634 |
|
metrics: |
|
- type: accuracy |
|
value: 79.33422999327504 |
|
- type: f1 |
|
value: 79.48369022509658 |
|
- task: |
|
type: Clustering |
|
dataset: |
|
name: MTEB MedrxivClusteringP2P |
|
type: mteb/medrxiv-clustering-p2p |
|
config: default |
|
split: test |
|
revision: e7a26af6f3ae46b30dde8737f02c07b1505bcc73 |
|
metrics: |
|
- type: v_measure |
|
value: 34.70891567267726 |
|
- task: |
|
type: Clustering |
|
dataset: |
|
name: MTEB MedrxivClusteringS2S |
|
type: mteb/medrxiv-clustering-s2s |
|
config: default |
|
split: test |
|
revision: 35191c8c0dca72d8ff3efcd72aa802307d469663 |
|
metrics: |
|
- type: v_measure |
|
value: 32.15203494451706 |
|
- task: |
|
type: Reranking |
|
dataset: |
|
name: MTEB MindSmallReranking |
|
type: mteb/mind_small |
|
config: default |
|
split: test |
|
revision: 3bdac13927fdc888b903db93b2ffdbd90b295a69 |
|
metrics: |
|
- type: map |
|
value: 31.919517862194173 |
|
- type: mrr |
|
value: 33.15466289140483 |
|
- task: |
|
type: Retrieval |
|
dataset: |
|
name: MTEB NFCorpus |
|
type: mteb/nfcorpus |
|
config: default |
|
split: test |
|
revision: ec0fa4fe99da2ff19ca1214b7966684033a58814 |
|
metrics: |
|
- type: map_at_1 |
|
value: 5.992 |
|
- type: map_at_10 |
|
value: 13.197000000000001 |
|
- type: map_at_100 |
|
value: 16.907 |
|
- type: map_at_1000 |
|
value: 18.44 |
|
- type: map_at_3 |
|
value: 9.631 |
|
- type: map_at_5 |
|
value: 11.243 |
|
- type: mrr_at_1 |
|
value: 44.272 |
|
- type: mrr_at_10 |
|
value: 53.321 |
|
- type: mrr_at_100 |
|
value: 53.903 |
|
- type: mrr_at_1000 |
|
value: 53.952999999999996 |
|
- type: mrr_at_3 |
|
value: 51.393 |
|
- type: mrr_at_5 |
|
value: 52.708999999999996 |
|
- type: ndcg_at_1 |
|
value: 42.415000000000006 |
|
- type: ndcg_at_10 |
|
value: 34.921 |
|
- type: ndcg_at_100 |
|
value: 32.384 |
|
- type: ndcg_at_1000 |
|
value: 41.260000000000005 |
|
- type: ndcg_at_3 |
|
value: 40.186 |
|
- type: ndcg_at_5 |
|
value: 37.89 |
|
- type: precision_at_1 |
|
value: 44.272 |
|
- type: precision_at_10 |
|
value: 26.006 |
|
- type: precision_at_100 |
|
value: 8.44 |
|
- type: precision_at_1000 |
|
value: 2.136 |
|
- type: precision_at_3 |
|
value: 37.977 |
|
- type: precision_at_5 |
|
value: 32.755 |
|
- type: recall_at_1 |
|
value: 5.992 |
|
- type: recall_at_10 |
|
value: 17.01 |
|
- type: recall_at_100 |
|
value: 33.080999999999996 |
|
- type: recall_at_1000 |
|
value: 65.054 |
|
- type: recall_at_3 |
|
value: 10.528 |
|
- type: recall_at_5 |
|
value: 13.233 |
|
- task: |
|
type: Retrieval |
|
dataset: |
|
name: MTEB NQ |
|
type: mteb/nq |
|
config: default |
|
split: test |
|
revision: b774495ed302d8c44a3a7ea25c90dbce03968f31 |
|
metrics: |
|
- type: map_at_1 |
|
value: 28.871999999999996 |
|
- type: map_at_10 |
|
value: 43.286 |
|
- type: map_at_100 |
|
value: 44.432 |
|
- type: map_at_1000 |
|
value: 44.464999999999996 |
|
- type: map_at_3 |
|
value: 38.856 |
|
- type: map_at_5 |
|
value: 41.514 |
|
- type: mrr_at_1 |
|
value: 32.619 |
|
- type: mrr_at_10 |
|
value: 45.75 |
|
- type: mrr_at_100 |
|
value: 46.622 |
|
- type: mrr_at_1000 |
|
value: 46.646 |
|
- type: mrr_at_3 |
|
value: 41.985 |
|
- type: mrr_at_5 |
|
value: 44.277 |
|
- type: ndcg_at_1 |
|
value: 32.59 |
|
- type: ndcg_at_10 |
|
value: 50.895999999999994 |
|
- type: ndcg_at_100 |
|
value: 55.711999999999996 |
|
- type: ndcg_at_1000 |
|
value: 56.48800000000001 |
|
- type: ndcg_at_3 |
|
value: 42.504999999999995 |
|
- type: ndcg_at_5 |
|
value: 46.969 |
|
- type: precision_at_1 |
|
value: 32.59 |
|
- type: precision_at_10 |
|
value: 8.543000000000001 |
|
- type: precision_at_100 |
|
value: 1.123 |
|
- type: precision_at_1000 |
|
value: 0.12 |
|
- type: precision_at_3 |
|
value: 19.448 |
|
- type: precision_at_5 |
|
value: 14.218 |
|
- type: recall_at_1 |
|
value: 28.871999999999996 |
|
- type: recall_at_10 |
|
value: 71.748 |
|
- type: recall_at_100 |
|
value: 92.55499999999999 |
|
- type: recall_at_1000 |
|
value: 98.327 |
|
- type: recall_at_3 |
|
value: 49.944 |
|
- type: recall_at_5 |
|
value: 60.291 |
|
- task: |
|
type: Retrieval |
|
dataset: |
|
name: MTEB QuoraRetrieval |
|
type: mteb/quora |
|
config: default |
|
split: test |
|
revision: e4e08e0b7dbe3c8700f0daef558ff32256715259 |
|
metrics: |
|
- type: map_at_1 |
|
value: 70.664 |
|
- type: map_at_10 |
|
value: 84.681 |
|
- type: map_at_100 |
|
value: 85.289 |
|
- type: map_at_1000 |
|
value: 85.306 |
|
- type: map_at_3 |
|
value: 81.719 |
|
- type: map_at_5 |
|
value: 83.601 |
|
- type: mrr_at_1 |
|
value: 81.35 |
|
- type: mrr_at_10 |
|
value: 87.591 |
|
- type: mrr_at_100 |
|
value: 87.691 |
|
- type: mrr_at_1000 |
|
value: 87.693 |
|
- type: mrr_at_3 |
|
value: 86.675 |
|
- type: mrr_at_5 |
|
value: 87.29299999999999 |
|
- type: ndcg_at_1 |
|
value: 81.33 |
|
- type: ndcg_at_10 |
|
value: 88.411 |
|
- type: ndcg_at_100 |
|
value: 89.579 |
|
- type: ndcg_at_1000 |
|
value: 89.687 |
|
- type: ndcg_at_3 |
|
value: 85.613 |
|
- type: ndcg_at_5 |
|
value: 87.17 |
|
- type: precision_at_1 |
|
value: 81.33 |
|
- type: precision_at_10 |
|
value: 13.422 |
|
- type: precision_at_100 |
|
value: 1.5270000000000001 |
|
- type: precision_at_1000 |
|
value: 0.157 |
|
- type: precision_at_3 |
|
value: 37.463 |
|
- type: precision_at_5 |
|
value: 24.646 |
|
- type: recall_at_1 |
|
value: 70.664 |
|
- type: recall_at_10 |
|
value: 95.54 |
|
- type: recall_at_100 |
|
value: 99.496 |
|
- type: recall_at_1000 |
|
value: 99.978 |
|
- type: recall_at_3 |
|
value: 87.481 |
|
- type: recall_at_5 |
|
value: 91.88499999999999 |
|
- task: |
|
type: Clustering |
|
dataset: |
|
name: MTEB RedditClustering |
|
type: mteb/reddit-clustering |
|
config: default |
|
split: test |
|
revision: 24640382cdbf8abc73003fb0fa6d111a705499eb |
|
metrics: |
|
- type: v_measure |
|
value: 55.40341814991112 |
|
- task: |
|
type: Clustering |
|
dataset: |
|
name: MTEB RedditClusteringP2P |
|
type: mteb/reddit-clustering-p2p |
|
config: default |
|
split: test |
|
revision: 385e3cb46b4cfa89021f56c4380204149d0efe33 |
|
metrics: |
|
- type: v_measure |
|
value: 61.231318481346655 |
|
- task: |
|
type: Retrieval |
|
dataset: |
|
name: MTEB SCIDOCS |
|
type: mteb/scidocs |
|
config: default |
|
split: test |
|
revision: f8c2fcf00f625baaa80f62ec5bd9e1fff3b8ae88 |
|
metrics: |
|
- type: map_at_1 |
|
value: 4.833 |
|
- type: map_at_10 |
|
value: 13.149 |
|
- type: map_at_100 |
|
value: 15.578 |
|
- type: map_at_1000 |
|
value: 15.963 |
|
- type: map_at_3 |
|
value: 9.269 |
|
- type: map_at_5 |
|
value: 11.182 |
|
- type: mrr_at_1 |
|
value: 23.9 |
|
- type: mrr_at_10 |
|
value: 35.978 |
|
- type: mrr_at_100 |
|
value: 37.076 |
|
- type: mrr_at_1000 |
|
value: 37.126 |
|
- type: mrr_at_3 |
|
value: 32.333 |
|
- type: mrr_at_5 |
|
value: 34.413 |
|
- type: ndcg_at_1 |
|
value: 23.9 |
|
- type: ndcg_at_10 |
|
value: 21.823 |
|
- type: ndcg_at_100 |
|
value: 30.833 |
|
- type: ndcg_at_1000 |
|
value: 36.991 |
|
- type: ndcg_at_3 |
|
value: 20.465 |
|
- type: ndcg_at_5 |
|
value: 17.965999999999998 |
|
- type: precision_at_1 |
|
value: 23.9 |
|
- type: precision_at_10 |
|
value: 11.49 |
|
- type: precision_at_100 |
|
value: 2.444 |
|
- type: precision_at_1000 |
|
value: 0.392 |
|
- type: precision_at_3 |
|
value: 19.3 |
|
- type: precision_at_5 |
|
value: 15.959999999999999 |
|
- type: recall_at_1 |
|
value: 4.833 |
|
- type: recall_at_10 |
|
value: 23.294999999999998 |
|
- type: recall_at_100 |
|
value: 49.63 |
|
- type: recall_at_1000 |
|
value: 79.49199999999999 |
|
- type: recall_at_3 |
|
value: 11.732 |
|
- type: recall_at_5 |
|
value: 16.167 |
|
- task: |
|
type: STS |
|
dataset: |
|
name: MTEB SICK-R |
|
type: mteb/sickr-sts |
|
config: default |
|
split: test |
|
revision: 20a6d6f312dd54037fe07a32d58e5e168867909d |
|
metrics: |
|
- type: cos_sim_pearson |
|
value: 85.62938108735759 |
|
- type: cos_sim_spearman |
|
value: 80.30777094408789 |
|
- type: euclidean_pearson |
|
value: 82.94516686659536 |
|
- type: euclidean_spearman |
|
value: 80.34489663248169 |
|
- type: manhattan_pearson |
|
value: 82.85830094736245 |
|
- type: manhattan_spearman |
|
value: 80.24902623215449 |
|
- task: |
|
type: STS |
|
dataset: |
|
name: MTEB STS12 |
|
type: mteb/sts12-sts |
|
config: default |
|
split: test |
|
revision: a0d554a64d88156834ff5ae9920b964011b16384 |
|
metrics: |
|
- type: cos_sim_pearson |
|
value: 85.23777464247604 |
|
- type: cos_sim_spearman |
|
value: 75.75714864112797 |
|
- type: euclidean_pearson |
|
value: 82.33806918604493 |
|
- type: euclidean_spearman |
|
value: 75.45282124387357 |
|
- type: manhattan_pearson |
|
value: 82.32555620660538 |
|
- type: manhattan_spearman |
|
value: 75.49228731684082 |
|
- task: |
|
type: STS |
|
dataset: |
|
name: MTEB STS13 |
|
type: mteb/sts13-sts |
|
config: default |
|
split: test |
|
revision: 7e90230a92c190f1bf69ae9002b8cea547a64cca |
|
metrics: |
|
- type: cos_sim_pearson |
|
value: 84.88151620954451 |
|
- type: cos_sim_spearman |
|
value: 86.08377598473446 |
|
- type: euclidean_pearson |
|
value: 85.36958329369413 |
|
- type: euclidean_spearman |
|
value: 86.10274219670679 |
|
- type: manhattan_pearson |
|
value: 85.25873897594711 |
|
- type: manhattan_spearman |
|
value: 85.98096461661584 |
|
- task: |
|
type: STS |
|
dataset: |
|
name: MTEB STS14 |
|
type: mteb/sts14-sts |
|
config: default |
|
split: test |
|
revision: 6031580fec1f6af667f0bd2da0a551cf4f0b2375 |
|
metrics: |
|
- type: cos_sim_pearson |
|
value: 84.29360558735978 |
|
- type: cos_sim_spearman |
|
value: 82.28284203795577 |
|
- type: euclidean_pearson |
|
value: 83.81636655536633 |
|
- type: euclidean_spearman |
|
value: 82.24340438530236 |
|
- type: manhattan_pearson |
|
value: 83.83914453428608 |
|
- type: manhattan_spearman |
|
value: 82.28391354080694 |
|
- task: |
|
type: STS |
|
dataset: |
|
name: MTEB STS15 |
|
type: mteb/sts15-sts |
|
config: default |
|
split: test |
|
revision: ae752c7c21bf194d8b67fd573edf7ae58183cbe3 |
|
metrics: |
|
- type: cos_sim_pearson |
|
value: 87.47344180426744 |
|
- type: cos_sim_spearman |
|
value: 88.90045649789438 |
|
- type: euclidean_pearson |
|
value: 88.43020815961273 |
|
- type: euclidean_spearman |
|
value: 89.0087449011776 |
|
- type: manhattan_pearson |
|
value: 88.37601826505525 |
|
- type: manhattan_spearman |
|
value: 88.96756360690617 |
|
- task: |
|
type: STS |
|
dataset: |
|
name: MTEB STS16 |
|
type: mteb/sts16-sts |
|
config: default |
|
split: test |
|
revision: 4d8694f8f0e0100860b497b999b3dbed754a0513 |
|
metrics: |
|
- type: cos_sim_pearson |
|
value: 83.35997025304613 |
|
- type: cos_sim_spearman |
|
value: 85.18237675717147 |
|
- type: euclidean_pearson |
|
value: 84.46478196990202 |
|
- type: euclidean_spearman |
|
value: 85.27748677712205 |
|
- type: manhattan_pearson |
|
value: 84.29342543953123 |
|
- type: manhattan_spearman |
|
value: 85.10579612516567 |
|
- task: |
|
type: STS |
|
dataset: |
|
name: MTEB STS17 (en-en) |
|
type: mteb/sts17-crosslingual-sts |
|
config: en-en |
|
split: test |
|
revision: af5e6fb845001ecf41f4c1e033ce921939a2a68d |
|
metrics: |
|
- type: cos_sim_pearson |
|
value: 88.56668329596836 |
|
- type: cos_sim_spearman |
|
value: 88.72837234129177 |
|
- type: euclidean_pearson |
|
value: 89.39395650897828 |
|
- type: euclidean_spearman |
|
value: 88.82001247906778 |
|
- type: manhattan_pearson |
|
value: 89.41735354368878 |
|
- type: manhattan_spearman |
|
value: 88.95159141850039 |
|
- task: |
|
type: STS |
|
dataset: |
|
name: MTEB STS22 (en) |
|
type: mteb/sts22-crosslingual-sts |
|
config: en |
|
split: test |
|
revision: eea2b4fe26a775864c896887d910b76a8098ad3f |
|
metrics: |
|
- type: cos_sim_pearson |
|
value: 67.466167902991 |
|
- type: cos_sim_spearman |
|
value: 68.54466147197274 |
|
- type: euclidean_pearson |
|
value: 69.35551179564695 |
|
- type: euclidean_spearman |
|
value: 68.75455717749132 |
|
- type: manhattan_pearson |
|
value: 69.42432368208264 |
|
- type: manhattan_spearman |
|
value: 68.83203709670562 |
|
- task: |
|
type: STS |
|
dataset: |
|
name: MTEB STSBenchmark |
|
type: mteb/stsbenchmark-sts |
|
config: default |
|
split: test |
|
revision: b0fddb56ed78048fa8b90373c8a3cfc37b684831 |
|
metrics: |
|
- type: cos_sim_pearson |
|
value: 85.33241300373689 |
|
- type: cos_sim_spearman |
|
value: 86.97909372129874 |
|
- type: euclidean_pearson |
|
value: 86.99526113559924 |
|
- type: euclidean_spearman |
|
value: 87.02644372623219 |
|
- type: manhattan_pearson |
|
value: 86.78744182759846 |
|
- type: manhattan_spearman |
|
value: 86.8886180198196 |
|
- task: |
|
type: Reranking |
|
dataset: |
|
name: MTEB SciDocsRR |
|
type: mteb/scidocs-reranking |
|
config: default |
|
split: test |
|
revision: d3c5e1fc0b855ab6097bf1cda04dd73947d7caab |
|
metrics: |
|
- type: map |
|
value: 86.18374413668717 |
|
- type: mrr |
|
value: 95.93213068703264 |
|
- task: |
|
type: Retrieval |
|
dataset: |
|
name: MTEB SciFact |
|
type: mteb/scifact |
|
config: default |
|
split: test |
|
revision: 0228b52cf27578f30900b9e5271d331663a030d7 |
|
metrics: |
|
- type: map_at_1 |
|
value: 58.31699999999999 |
|
- type: map_at_10 |
|
value: 67.691 |
|
- type: map_at_100 |
|
value: 68.201 |
|
- type: map_at_1000 |
|
value: 68.232 |
|
- type: map_at_3 |
|
value: 64.47800000000001 |
|
- type: map_at_5 |
|
value: 66.51 |
|
- type: mrr_at_1 |
|
value: 61.0 |
|
- type: mrr_at_10 |
|
value: 68.621 |
|
- type: mrr_at_100 |
|
value: 68.973 |
|
- type: mrr_at_1000 |
|
value: 69.002 |
|
- type: mrr_at_3 |
|
value: 66.111 |
|
- type: mrr_at_5 |
|
value: 67.578 |
|
- type: ndcg_at_1 |
|
value: 61.0 |
|
- type: ndcg_at_10 |
|
value: 72.219 |
|
- type: ndcg_at_100 |
|
value: 74.397 |
|
- type: ndcg_at_1000 |
|
value: 75.021 |
|
- type: ndcg_at_3 |
|
value: 66.747 |
|
- type: ndcg_at_5 |
|
value: 69.609 |
|
- type: precision_at_1 |
|
value: 61.0 |
|
- type: precision_at_10 |
|
value: 9.6 |
|
- type: precision_at_100 |
|
value: 1.08 |
|
- type: precision_at_1000 |
|
value: 0.11299999999999999 |
|
- type: precision_at_3 |
|
value: 25.667 |
|
- type: precision_at_5 |
|
value: 17.267 |
|
- type: recall_at_1 |
|
value: 58.31699999999999 |
|
- type: recall_at_10 |
|
value: 85.233 |
|
- type: recall_at_100 |
|
value: 95.167 |
|
- type: recall_at_1000 |
|
value: 99.667 |
|
- type: recall_at_3 |
|
value: 70.589 |
|
- type: recall_at_5 |
|
value: 77.628 |
|
- task: |
|
type: PairClassification |
|
dataset: |
|
name: MTEB SprintDuplicateQuestions |
|
type: mteb/sprintduplicatequestions-pairclassification |
|
config: default |
|
split: test |
|
revision: d66bd1f72af766a5cc4b0ca5e00c162f89e8cc46 |
|
metrics: |
|
- type: cos_sim_accuracy |
|
value: 99.83267326732673 |
|
- type: cos_sim_ap |
|
value: 96.13707107038228 |
|
- type: cos_sim_f1 |
|
value: 91.48830263812842 |
|
- type: cos_sim_precision |
|
value: 91.0802775024777 |
|
- type: cos_sim_recall |
|
value: 91.9 |
|
- type: dot_accuracy |
|
value: 99.83069306930693 |
|
- type: dot_ap |
|
value: 96.21199069147254 |
|
- type: dot_f1 |
|
value: 91.36295556665004 |
|
- type: dot_precision |
|
value: 91.22632103688933 |
|
- type: dot_recall |
|
value: 91.5 |
|
- type: euclidean_accuracy |
|
value: 99.83267326732673 |
|
- type: euclidean_ap |
|
value: 96.08957801367436 |
|
- type: euclidean_f1 |
|
value: 91.33004926108374 |
|
- type: euclidean_precision |
|
value: 90.0 |
|
- type: euclidean_recall |
|
value: 92.7 |
|
- type: manhattan_accuracy |
|
value: 99.83564356435643 |
|
- type: manhattan_ap |
|
value: 96.10534946461945 |
|
- type: manhattan_f1 |
|
value: 91.74950298210736 |
|
- type: manhattan_precision |
|
value: 91.20553359683794 |
|
- type: manhattan_recall |
|
value: 92.30000000000001 |
|
- type: max_accuracy |
|
value: 99.83564356435643 |
|
- type: max_ap |
|
value: 96.21199069147254 |
|
- type: max_f1 |
|
value: 91.74950298210736 |
|
- task: |
|
type: Clustering |
|
dataset: |
|
name: MTEB StackExchangeClustering |
|
type: mteb/stackexchange-clustering |
|
config: default |
|
split: test |
|
revision: 6cbc1f7b2bc0622f2e39d2c77fa502909748c259 |
|
metrics: |
|
- type: v_measure |
|
value: 62.045718843534736 |
|
- task: |
|
type: Clustering |
|
dataset: |
|
name: MTEB StackExchangeClusteringP2P |
|
type: mteb/stackexchange-clustering-p2p |
|
config: default |
|
split: test |
|
revision: 815ca46b2622cec33ccafc3735d572c266efdb44 |
|
metrics: |
|
- type: v_measure |
|
value: 36.6501777041092 |
|
- task: |
|
type: Reranking |
|
dataset: |
|
name: MTEB StackOverflowDupQuestions |
|
type: mteb/stackoverflowdupquestions-reranking |
|
config: default |
|
split: test |
|
revision: e185fbe320c72810689fc5848eb6114e1ef5ec69 |
|
metrics: |
|
- type: map |
|
value: 52.963913408053955 |
|
- type: mrr |
|
value: 53.87972423818012 |
|
- task: |
|
type: Summarization |
|
dataset: |
|
name: MTEB SummEval |
|
type: mteb/summeval |
|
config: default |
|
split: test |
|
revision: cda12ad7615edc362dbf25a00fdd61d3b1eaf93c |
|
metrics: |
|
- type: cos_sim_pearson |
|
value: 30.44195730764998 |
|
- type: cos_sim_spearman |
|
value: 30.59626288679397 |
|
- type: dot_pearson |
|
value: 30.22974492404086 |
|
- type: dot_spearman |
|
value: 29.345245972906497 |
|
- task: |
|
type: Retrieval |
|
dataset: |
|
name: MTEB TRECCOVID |
|
type: mteb/trec-covid |
|
config: default |
|
split: test |
|
revision: bb9466bac8153a0349341eb1b22e06409e78ef4e |
|
metrics: |
|
- type: map_at_1 |
|
value: 0.24 |
|
- type: map_at_10 |
|
value: 2.01 |
|
- type: map_at_100 |
|
value: 11.928999999999998 |
|
- type: map_at_1000 |
|
value: 29.034 |
|
- type: map_at_3 |
|
value: 0.679 |
|
- type: map_at_5 |
|
value: 1.064 |
|
- type: mrr_at_1 |
|
value: 92.0 |
|
- type: mrr_at_10 |
|
value: 96.0 |
|
- type: mrr_at_100 |
|
value: 96.0 |
|
- type: mrr_at_1000 |
|
value: 96.0 |
|
- type: mrr_at_3 |
|
value: 96.0 |
|
- type: mrr_at_5 |
|
value: 96.0 |
|
- type: ndcg_at_1 |
|
value: 87.0 |
|
- type: ndcg_at_10 |
|
value: 80.118 |
|
- type: ndcg_at_100 |
|
value: 60.753 |
|
- type: ndcg_at_1000 |
|
value: 54.632999999999996 |
|
- type: ndcg_at_3 |
|
value: 83.073 |
|
- type: ndcg_at_5 |
|
value: 80.733 |
|
- type: precision_at_1 |
|
value: 92.0 |
|
- type: precision_at_10 |
|
value: 84.8 |
|
- type: precision_at_100 |
|
value: 62.019999999999996 |
|
- type: precision_at_1000 |
|
value: 24.028 |
|
- type: precision_at_3 |
|
value: 87.333 |
|
- type: precision_at_5 |
|
value: 85.2 |
|
- type: recall_at_1 |
|
value: 0.24 |
|
- type: recall_at_10 |
|
value: 2.205 |
|
- type: recall_at_100 |
|
value: 15.068000000000001 |
|
- type: recall_at_1000 |
|
value: 51.796 |
|
- type: recall_at_3 |
|
value: 0.698 |
|
- type: recall_at_5 |
|
value: 1.1199999999999999 |
|
- task: |
|
type: Retrieval |
|
dataset: |
|
name: MTEB Touche2020 |
|
type: mteb/touche2020 |
|
config: default |
|
split: test |
|
revision: a34f9a33db75fa0cbb21bb5cfc3dae8dc8bec93f |
|
metrics: |
|
- type: map_at_1 |
|
value: 3.066 |
|
- type: map_at_10 |
|
value: 9.219 |
|
- type: map_at_100 |
|
value: 15.387 |
|
- type: map_at_1000 |
|
value: 16.957 |
|
- type: map_at_3 |
|
value: 5.146 |
|
- type: map_at_5 |
|
value: 6.6739999999999995 |
|
- type: mrr_at_1 |
|
value: 40.816 |
|
- type: mrr_at_10 |
|
value: 50.844 |
|
- type: mrr_at_100 |
|
value: 51.664 |
|
- type: mrr_at_1000 |
|
value: 51.664 |
|
- type: mrr_at_3 |
|
value: 46.259 |
|
- type: mrr_at_5 |
|
value: 49.116 |
|
- type: ndcg_at_1 |
|
value: 37.755 |
|
- type: ndcg_at_10 |
|
value: 23.477 |
|
- type: ndcg_at_100 |
|
value: 36.268 |
|
- type: ndcg_at_1000 |
|
value: 47.946 |
|
- type: ndcg_at_3 |
|
value: 25.832 |
|
- type: ndcg_at_5 |
|
value: 24.235 |
|
- type: precision_at_1 |
|
value: 40.816 |
|
- type: precision_at_10 |
|
value: 20.204 |
|
- type: precision_at_100 |
|
value: 7.611999999999999 |
|
- type: precision_at_1000 |
|
value: 1.543 |
|
- type: precision_at_3 |
|
value: 25.169999999999998 |
|
- type: precision_at_5 |
|
value: 23.265 |
|
- type: recall_at_1 |
|
value: 3.066 |
|
- type: recall_at_10 |
|
value: 14.985999999999999 |
|
- type: recall_at_100 |
|
value: 47.902 |
|
- type: recall_at_1000 |
|
value: 83.56400000000001 |
|
- type: recall_at_3 |
|
value: 5.755 |
|
- type: recall_at_5 |
|
value: 8.741999999999999 |
|
- task: |
|
type: Classification |
|
dataset: |
|
name: MTEB ToxicConversationsClassification |
|
type: mteb/toxic_conversations_50k |
|
config: default |
|
split: test |
|
revision: edfaf9da55d3dd50d43143d90c1ac476895ae6de |
|
metrics: |
|
- type: accuracy |
|
value: 69.437 |
|
- type: ap |
|
value: 12.844066827082706 |
|
- type: f1 |
|
value: 52.74974809872495 |
|
- task: |
|
type: Classification |
|
dataset: |
|
name: MTEB TweetSentimentExtractionClassification |
|
type: mteb/tweet_sentiment_extraction |
|
config: default |
|
split: test |
|
revision: d604517c81ca91fe16a244d1248fc021f9ecee7a |
|
metrics: |
|
- type: accuracy |
|
value: 61.26768534238823 |
|
- type: f1 |
|
value: 61.65100187399282 |
|
- task: |
|
type: Clustering |
|
dataset: |
|
name: MTEB TwentyNewsgroupsClustering |
|
type: mteb/twentynewsgroups-clustering |
|
config: default |
|
split: test |
|
revision: 6125ec4e24fa026cec8a478383ee943acfbd5449 |
|
metrics: |
|
- type: v_measure |
|
value: 49.860968711078804 |
|
- task: |
|
type: PairClassification |
|
dataset: |
|
name: MTEB TwitterSemEval2015 |
|
type: mteb/twittersemeval2015-pairclassification |
|
config: default |
|
split: test |
|
revision: 70970daeab8776df92f5ea462b6173c0b46fd2d1 |
|
metrics: |
|
- type: cos_sim_accuracy |
|
value: 85.7423854085951 |
|
- type: cos_sim_ap |
|
value: 73.47560303339571 |
|
- type: cos_sim_f1 |
|
value: 67.372778183589 |
|
- type: cos_sim_precision |
|
value: 62.54520795660036 |
|
- type: cos_sim_recall |
|
value: 73.00791556728232 |
|
- type: dot_accuracy |
|
value: 85.36091077069798 |
|
- type: dot_ap |
|
value: 72.42521572307255 |
|
- type: dot_f1 |
|
value: 66.90576304724215 |
|
- type: dot_precision |
|
value: 62.96554934823091 |
|
- type: dot_recall |
|
value: 71.37203166226914 |
|
- type: euclidean_accuracy |
|
value: 85.76026703224653 |
|
- type: euclidean_ap |
|
value: 73.44852563860128 |
|
- type: euclidean_f1 |
|
value: 67.3 |
|
- type: euclidean_precision |
|
value: 63.94299287410926 |
|
- type: euclidean_recall |
|
value: 71.02902374670185 |
|
- type: manhattan_accuracy |
|
value: 85.7423854085951 |
|
- type: manhattan_ap |
|
value: 73.2635034755551 |
|
- type: manhattan_f1 |
|
value: 67.3180263800684 |
|
- type: manhattan_precision |
|
value: 62.66484765802638 |
|
- type: manhattan_recall |
|
value: 72.71767810026385 |
|
- type: max_accuracy |
|
value: 85.76026703224653 |
|
- type: max_ap |
|
value: 73.47560303339571 |
|
- type: max_f1 |
|
value: 67.372778183589 |
|
- task: |
|
type: PairClassification |
|
dataset: |
|
name: MTEB TwitterURLCorpus |
|
type: mteb/twitterurlcorpus-pairclassification |
|
config: default |
|
split: test |
|
revision: 8b6510b0b1fa4e4c4f879467980e9be563ec1cdf |
|
metrics: |
|
- type: cos_sim_accuracy |
|
value: 88.67543757519307 |
|
- type: cos_sim_ap |
|
value: 85.35516518531304 |
|
- type: cos_sim_f1 |
|
value: 77.58197635511934 |
|
- type: cos_sim_precision |
|
value: 75.01078360891445 |
|
- type: cos_sim_recall |
|
value: 80.33569448721897 |
|
- type: dot_accuracy |
|
value: 87.61400240617844 |
|
- type: dot_ap |
|
value: 83.0774968268665 |
|
- type: dot_f1 |
|
value: 75.68229012162561 |
|
- type: dot_precision |
|
value: 72.99713876967095 |
|
- type: dot_recall |
|
value: 78.57252848783493 |
|
- type: euclidean_accuracy |
|
value: 88.73753250281368 |
|
- type: euclidean_ap |
|
value: 85.48043564821317 |
|
- type: euclidean_f1 |
|
value: 77.75975862719216 |
|
- type: euclidean_precision |
|
value: 76.21054187920456 |
|
- type: euclidean_recall |
|
value: 79.37326763166 |
|
- type: manhattan_accuracy |
|
value: 88.75111576823068 |
|
- type: manhattan_ap |
|
value: 85.44993439423668 |
|
- type: manhattan_f1 |
|
value: 77.6861329994845 |
|
- type: manhattan_precision |
|
value: 74.44601270289344 |
|
- type: manhattan_recall |
|
value: 81.22112719433323 |
|
- type: max_accuracy |
|
value: 88.75111576823068 |
|
- type: max_ap |
|
value: 85.48043564821317 |
|
- type: max_f1 |
|
value: 77.75975862719216 |
|
--- |
|
|
|
# chihlunLee/NoInstruct-small-Embedding-v0-Q4_0-GGUF |
|
This model was converted to GGUF format from [`avsolatorio/NoInstruct-small-Embedding-v0`](https://huggingface.co/avsolatorio/NoInstruct-small-Embedding-v0) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space. |
|
Refer to the [original model card](https://huggingface.co/avsolatorio/NoInstruct-small-Embedding-v0) for more details on the model. |
|
|
|
## Use with llama.cpp |
|
Install llama.cpp through brew (works on Mac and Linux) |
|
|
|
```bash |
|
brew install llama.cpp |
|
|
|
``` |
|
Invoke the llama.cpp server or the CLI. |
|
|
|
### CLI: |
|
```bash |
|
llama-cli --hf-repo chihlunLee/NoInstruct-small-Embedding-v0-Q4_0-GGUF --hf-file noinstruct-small-embedding-v0-q4_0.gguf -p "The meaning to life and the universe is" |
|
``` |
|
|
|
### Server: |
|
```bash |
|
llama-server --hf-repo chihlunLee/NoInstruct-small-Embedding-v0-Q4_0-GGUF --hf-file noinstruct-small-embedding-v0-q4_0.gguf -c 2048 |
|
``` |
|
|
|
Note: You can also use this checkpoint directly through the [usage steps](https://github.com/ggerganov/llama.cpp?tab=readme-ov-file#usage) listed in the Llama.cpp repo as well. |
|
|
|
Step 1: Clone llama.cpp from GitHub. |
|
``` |
|
git clone https://github.com/ggerganov/llama.cpp |
|
``` |
|
|
|
Step 2: Move into the llama.cpp folder and build it with `LLAMA_CURL=1` flag along with other hardware-specific flags (for ex: LLAMA_CUDA=1 for Nvidia GPUs on Linux). |
|
``` |
|
cd llama.cpp && LLAMA_CURL=1 make |
|
``` |
|
|
|
Step 3: Run inference through the main binary. |
|
``` |
|
./llama-cli --hf-repo chihlunLee/NoInstruct-small-Embedding-v0-Q4_0-GGUF --hf-file noinstruct-small-embedding-v0-q4_0.gguf -p "The meaning to life and the universe is" |
|
``` |
|
or |
|
``` |
|
./llama-server --hf-repo chihlunLee/NoInstruct-small-Embedding-v0-Q4_0-GGUF --hf-file noinstruct-small-embedding-v0-q4_0.gguf -c 2048 |
|
``` |
|
|
