metadata
license: mit
model-index:
- name: hui-embedding
results:
- task:
type: STS
dataset:
type: C-MTEB/AFQMC
name: MTEB AFQMC
config: default
split: validation
revision: b44c3b011063adb25877c13823db83bb193913c4
metrics:
- type: cos_sim_pearson
value: 49.378812776509605
- type: cos_sim_spearman
value: 54.847928348721375
- type: euclidean_pearson
value: 53.04925208393059
- type: euclidean_spearman
value: 54.847928348721375
- type: manhattan_pearson
value: 53.06246682259037
- type: manhattan_spearman
value: 54.87201329143453
- task:
type: STS
dataset:
type: C-MTEB/ATEC
name: MTEB ATEC
config: default
split: test
revision: 0f319b1142f28d00e055a6770f3f726ae9b7d865
metrics:
- type: cos_sim_pearson
value: 48.1600594371303
- type: cos_sim_spearman
value: 55.1323822895328
- type: euclidean_pearson
value: 55.4361186282293
- type: euclidean_spearman
value: 55.13238454056627
- type: manhattan_pearson
value: 55.41462879819177
- type: manhattan_spearman
value: 55.13393260953372
- task:
type: Classification
dataset:
type: mteb/amazon_reviews_multi
name: MTEB AmazonReviewsClassification (zh)
config: zh
split: test
revision: 1399c76144fd37290681b995c656ef9b2e06e26d
metrics:
- type: accuracy
value: 46.715999999999994
- type: f1
value: 45.031952047233084
- task:
type: STS
dataset:
type: C-MTEB/BQ
name: MTEB BQ
config: default
split: test
revision: e3dda5e115e487b39ec7e618c0c6a29137052a55
metrics:
- type: cos_sim_pearson
value: 63.51780001831422
- type: cos_sim_spearman
value: 65.57016807800922
- type: euclidean_pearson
value: 64.0519397443374
- type: euclidean_spearman
value: 65.57018193343218
- type: manhattan_pearson
value: 63.95723624728276
- type: manhattan_spearman
value: 65.48557125105762
- task:
type: Clustering
dataset:
type: C-MTEB/CLSClusteringP2P
name: MTEB CLSClusteringP2P
config: default
split: test
revision: 4b6227591c6c1a73bc76b1055f3b7f3588e72476
metrics:
- type: v_measure
value: 42.5667507726515
- task:
type: Clustering
dataset:
type: C-MTEB/CLSClusteringS2S
name: MTEB CLSClusteringS2S
config: default
split: test
revision: e458b3f5414b62b7f9f83499ac1f5497ae2e869f
metrics:
- type: v_measure
value: 40.510799373442566
- task:
type: Reranking
dataset:
type: C-MTEB/CMedQAv1-reranking
name: MTEB CMedQAv1
config: default
split: test
revision: 8d7f1e942507dac42dc58017c1a001c3717da7df
metrics:
- type: map
value: 87.12221041649349
- type: mrr
value: 89.57150793650794
- task:
type: Reranking
dataset:
type: C-MTEB/CMedQAv2-reranking
name: MTEB CMedQAv2
config: default
split: test
revision: 23d186750531a14a0357ca22cd92d712fd512ea0
metrics:
- type: map
value: 87.59790061886422
- type: mrr
value: 90.19202380952382
- task:
type: Retrieval
dataset:
type: C-MTEB/CmedqaRetrieval
name: MTEB CmedqaRetrieval
config: default
split: dev
revision: cd540c506dae1cf9e9a59c3e06f42030d54e7301
metrics:
- type: map_at_1
value: 25.22
- type: map_at_10
value: 37.611
- type: map_at_100
value: 39.505
- type: map_at_1000
value: 39.617999999999995
- type: map_at_3
value: 33.387
- type: map_at_5
value: 35.776
- type: mrr_at_1
value: 38.385000000000005
- type: mrr_at_10
value: 46.487
- type: mrr_at_100
value: 47.508
- type: mrr_at_1000
value: 47.55
- type: mrr_at_3
value: 43.897999999999996
- type: mrr_at_5
value: 45.371
- type: ndcg_at_1
value: 38.385000000000005
- type: ndcg_at_10
value: 44.232
- type: ndcg_at_100
value: 51.639
- type: ndcg_at_1000
value: 53.561
- type: ndcg_at_3
value: 38.855000000000004
- type: ndcg_at_5
value: 41.159
- type: precision_at_1
value: 38.385000000000005
- type: precision_at_10
value: 9.817
- type: precision_at_100
value: 1.58
- type: precision_at_1000
value: 0.183
- type: precision_at_3
value: 21.88
- type: precision_at_5
value: 15.969
- type: recall_at_1
value: 25.22
- type: recall_at_10
value: 54.909
- type: recall_at_100
value: 85.469
- type: recall_at_1000
value: 98.18599999999999
- type: recall_at_3
value: 38.834999999999994
- type: recall_at_5
value: 45.87
- task:
type: PairClassification
dataset:
type: C-MTEB/CMNLI
name: MTEB Cmnli
config: default
split: validation
revision: 41bc36f332156f7adc9e38f53777c959b2ae9766
metrics:
- type: cos_sim_accuracy
value: 83.22309079975948
- type: cos_sim_ap
value: 89.94908564295963
- type: cos_sim_f1
value: 84.3951165371809
- type: cos_sim_precision
value: 80.32960067610395
- type: cos_sim_recall
value: 88.89408463876549
- type: dot_accuracy
value: 83.22309079975948
- type: dot_ap
value: 89.95437246807009
- type: dot_f1
value: 84.3951165371809
- type: dot_precision
value: 80.32960067610395
- type: dot_recall
value: 88.89408463876549
- type: euclidean_accuracy
value: 83.22309079975948
- type: euclidean_ap
value: 89.94908838738027
- type: euclidean_f1
value: 84.3951165371809
- type: euclidean_precision
value: 80.32960067610395
- type: euclidean_recall
value: 88.89408463876549
- type: manhattan_accuracy
value: 83.23511725796753
- type: manhattan_ap
value: 89.94576222197006
- type: manhattan_f1
value: 84.44100409156253
- type: manhattan_precision
value: 80.10910616869492
- type: manhattan_recall
value: 89.26817862988075
- type: max_accuracy
value: 83.23511725796753
- type: max_ap
value: 89.95437246807009
- type: max_f1
value: 84.44100409156253
- task:
type: Retrieval
dataset:
type: C-MTEB/CovidRetrieval
name: MTEB CovidRetrieval
config: default
split: dev
revision: 1271c7809071a13532e05f25fb53511ffce77117
metrics:
- type: map_at_1
value: 76.87
- type: map_at_10
value: 84.513
- type: map_at_100
value: 84.616
- type: map_at_1000
value: 84.61800000000001
- type: map_at_3
value: 83.127
- type: map_at_5
value: 83.99600000000001
- type: mrr_at_1
value: 77.239
- type: mrr_at_10
value: 84.583
- type: mrr_at_100
value: 84.68
- type: mrr_at_1000
value: 84.681
- type: mrr_at_3
value: 83.281
- type: mrr_at_5
value: 84.097
- type: ndcg_at_1
value: 77.134
- type: ndcg_at_10
value: 87.71600000000001
- type: ndcg_at_100
value: 88.172
- type: ndcg_at_1000
value: 88.211
- type: ndcg_at_3
value: 84.993
- type: ndcg_at_5
value: 86.519
- type: precision_at_1
value: 77.134
- type: precision_at_10
value: 9.852
- type: precision_at_100
value: 1.006
- type: precision_at_1000
value: 0.101
- type: precision_at_3
value: 30.313000000000002
- type: precision_at_5
value: 18.945999999999998
- type: recall_at_1
value: 76.87
- type: recall_at_10
value: 97.524
- type: recall_at_100
value: 99.579
- type: recall_at_1000
value: 99.895
- type: recall_at_3
value: 90.227
- type: recall_at_5
value: 93.888
- task:
type: Retrieval
dataset:
type: C-MTEB/DuRetrieval
name: MTEB DuRetrieval
config: default
split: dev
revision: a1a333e290fe30b10f3f56498e3a0d911a693ced
metrics:
- type: map_at_1
value: 25.941
- type: map_at_10
value: 78.793
- type: map_at_100
value: 81.583
- type: map_at_1000
value: 81.63
- type: map_at_3
value: 54.767999999999994
- type: map_at_5
value: 69.16499999999999
- type: mrr_at_1
value: 90.45
- type: mrr_at_10
value: 93.401
- type: mrr_at_100
value: 93.452
- type: mrr_at_1000
value: 93.45599999999999
- type: mrr_at_3
value: 93.10000000000001
- type: mrr_at_5
value: 93.27499999999999
- type: ndcg_at_1
value: 90.45
- type: ndcg_at_10
value: 86.433
- type: ndcg_at_100
value: 89.287
- type: ndcg_at_1000
value: 89.74600000000001
- type: ndcg_at_3
value: 85.64500000000001
- type: ndcg_at_5
value: 84.444
- type: precision_at_1
value: 90.45
- type: precision_at_10
value: 41.185
- type: precision_at_100
value: 4.761
- type: precision_at_1000
value: 0.48700000000000004
- type: precision_at_3
value: 76.617
- type: precision_at_5
value: 64.68
- type: recall_at_1
value: 25.941
- type: recall_at_10
value: 87.393
- type: recall_at_100
value: 96.54
- type: recall_at_1000
value: 98.956
- type: recall_at_3
value: 56.976000000000006
- type: recall_at_5
value: 73.714
- task:
type: Retrieval
dataset:
type: C-MTEB/EcomRetrieval
name: MTEB EcomRetrieval
config: default
split: dev
revision: 687de13dc7294d6fd9be10c6945f9e8fec8166b9
metrics:
- type: map_at_1
value: 52.900000000000006
- type: map_at_10
value: 63.139
- type: map_at_100
value: 63.62799999999999
- type: map_at_1000
value: 63.639
- type: map_at_3
value: 60.817
- type: map_at_5
value: 62.197
- type: mrr_at_1
value: 52.900000000000006
- type: mrr_at_10
value: 63.139
- type: mrr_at_100
value: 63.62799999999999
- type: mrr_at_1000
value: 63.639
- type: mrr_at_3
value: 60.817
- type: mrr_at_5
value: 62.197
- type: ndcg_at_1
value: 52.900000000000006
- type: ndcg_at_10
value: 68.038
- type: ndcg_at_100
value: 70.41199999999999
- type: ndcg_at_1000
value: 70.717
- type: ndcg_at_3
value: 63.287000000000006
- type: ndcg_at_5
value: 65.766
- type: precision_at_1
value: 52.900000000000006
- type: precision_at_10
value: 8.34
- type: precision_at_100
value: 0.9450000000000001
- type: precision_at_1000
value: 0.097
- type: precision_at_3
value: 23.467
- type: precision_at_5
value: 15.28
- type: recall_at_1
value: 52.900000000000006
- type: recall_at_10
value: 83.39999999999999
- type: recall_at_100
value: 94.5
- type: recall_at_1000
value: 96.89999999999999
- type: recall_at_3
value: 70.39999999999999
- type: recall_at_5
value: 76.4
- task:
type: Classification
dataset:
type: C-MTEB/IFlyTek-classification
name: MTEB IFlyTek
config: default
split: validation
revision: 421605374b29664c5fc098418fe20ada9bd55f8a
metrics:
- type: accuracy
value: 49.74220854174683
- type: f1
value: 38.01254780588847
- task:
type: Classification
dataset:
type: C-MTEB/JDReview-classification
name: MTEB JDReview
config: default
split: test
revision: b7c64bd89eb87f8ded463478346f76731f07bf8b
metrics:
- type: accuracy
value: 86.73545966228893
- type: ap
value: 55.72394235169542
- type: f1
value: 81.58550390953492
- task:
type: STS
dataset:
type: C-MTEB/LCQMC
name: MTEB LCQMC
config: default
split: test
revision: 17f9b096f80380fce5ed12a9be8be7784b337daf
metrics:
- type: cos_sim_pearson
value: 69.96738688541858
- type: cos_sim_spearman
value: 75.54733864118711
- type: euclidean_pearson
value: 74.62650665031346
- type: euclidean_spearman
value: 75.54734085635552
- type: manhattan_pearson
value: 74.60961858490293
- type: manhattan_spearman
value: 75.5274896144882
- task:
type: Reranking
dataset:
type: C-MTEB/Mmarco-reranking
name: MTEB MMarcoReranking
config: default
split: dev
revision: 8e0c766dbe9e16e1d221116a3f36795fbade07f6
metrics:
- type: map
value: 28.07658854954957
- type: mrr
value: 26.98015873015873
- task:
type: Retrieval
dataset:
type: C-MTEB/MMarcoRetrieval
name: MTEB MMarcoRetrieval
config: default
split: dev
revision: 539bbde593d947e2a124ba72651aafc09eb33fc2
metrics:
- type: map_at_1
value: 65.566
- type: map_at_10
value: 74.75699999999999
- type: map_at_100
value: 75.071
- type: map_at_1000
value: 75.08500000000001
- type: map_at_3
value: 72.965
- type: map_at_5
value: 74.146
- type: mrr_at_1
value: 67.808
- type: mrr_at_10
value: 75.42999999999999
- type: mrr_at_100
value: 75.696
- type: mrr_at_1000
value: 75.708
- type: mrr_at_3
value: 73.902
- type: mrr_at_5
value: 74.902
- type: ndcg_at_1
value: 67.808
- type: ndcg_at_10
value: 78.469
- type: ndcg_at_100
value: 79.886
- type: ndcg_at_1000
value: 80.257
- type: ndcg_at_3
value: 75.115
- type: ndcg_at_5
value: 77.086
- type: precision_at_1
value: 67.808
- type: precision_at_10
value: 9.474
- type: precision_at_100
value: 1.019
- type: precision_at_1000
value: 0.105
- type: precision_at_3
value: 28.266000000000002
- type: precision_at_5
value: 18.014
- type: recall_at_1
value: 65.566
- type: recall_at_10
value: 89.193
- type: recall_at_100
value: 95.64399999999999
- type: recall_at_1000
value: 98.541
- type: recall_at_3
value: 80.41199999999999
- type: recall_at_5
value: 85.056
- task:
type: Classification
dataset:
type: mteb/amazon_massive_intent
name: MTEB MassiveIntentClassification (zh-CN)
config: zh-CN
split: test
revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7
metrics:
- type: accuracy
value: 72.85810356422327
- type: f1
value: 70.24900138264265
- task:
type: Classification
dataset:
type: mteb/amazon_massive_scenario
name: MTEB MassiveScenarioClassification (zh-CN)
config: zh-CN
split: test
revision: 7d571f92784cd94a019292a1f45445077d0ef634
metrics:
- type: accuracy
value: 75.47074646940149
- type: f1
value: 75.02944928791243
- task:
type: Retrieval
dataset:
type: C-MTEB/MedicalRetrieval
name: MTEB MedicalRetrieval
config: default
split: dev
revision: 2039188fb5800a9803ba5048df7b76e6fb151fc6
metrics:
- type: map_at_1
value: 53.300000000000004
- type: map_at_10
value: 60.086
- type: map_at_100
value: 60.633
- type: map_at_1000
value: 60.67399999999999
- type: map_at_3
value: 58.567
- type: map_at_5
value: 59.44199999999999
- type: mrr_at_1
value: 53.400000000000006
- type: mrr_at_10
value: 60.143
- type: mrr_at_100
value: 60.69799999999999
- type: mrr_at_1000
value: 60.739
- type: mrr_at_3
value: 58.633
- type: mrr_at_5
value: 59.508
- type: ndcg_at_1
value: 53.300000000000004
- type: ndcg_at_10
value: 63.388
- type: ndcg_at_100
value: 66.257
- type: ndcg_at_1000
value: 67.419
- type: ndcg_at_3
value: 60.224
- type: ndcg_at_5
value: 61.794000000000004
- type: precision_at_1
value: 53.300000000000004
- type: precision_at_10
value: 7.380000000000001
- type: precision_at_100
value: 0.877
- type: precision_at_1000
value: 0.097
- type: precision_at_3
value: 21.667
- type: precision_at_5
value: 13.76
- type: recall_at_1
value: 53.300000000000004
- type: recall_at_10
value: 73.8
- type: recall_at_100
value: 87.7
- type: recall_at_1000
value: 97
- type: recall_at_3
value: 65
- type: recall_at_5
value: 68.8
- task:
type: Classification
dataset:
type: C-MTEB/MultilingualSentiment-classification
name: MTEB MultilingualSentiment
config: default
split: validation
revision: 46958b007a63fdbf239b7672c25d0bea67b5ea1a
metrics:
- type: accuracy
value: 76.28000000000002
- type: f1
value: 76.31632893766579
- task:
type: PairClassification
dataset:
type: C-MTEB/OCNLI
name: MTEB Ocnli
config: default
split: validation
revision: 66e76a618a34d6d565d5538088562851e6daa7ec
metrics:
- type: cos_sim_accuracy
value: 78.72225230102869
- type: cos_sim_ap
value: 80.64016185061472
- type: cos_sim_f1
value: 80.52190121155638
- type: cos_sim_precision
value: 72.06005004170142
- type: cos_sim_recall
value: 91.23548046462513
- type: dot_accuracy
value: 78.72225230102869
- type: dot_ap
value: 80.64030954198267
- type: dot_f1
value: 80.52190121155638
- type: dot_precision
value: 72.06005004170142
- type: dot_recall
value: 91.23548046462513
- type: euclidean_accuracy
value: 78.72225230102869
- type: euclidean_ap
value: 80.64016185061472
- type: euclidean_f1
value: 80.52190121155638
- type: euclidean_precision
value: 72.06005004170142
- type: euclidean_recall
value: 91.23548046462513
- type: manhattan_accuracy
value: 78.18083378451544
- type: manhattan_ap
value: 80.52168370151603
- type: manhattan_f1
value: 80.43684710351377
- type: manhattan_precision
value: 73.0802415875755
- type: manhattan_recall
value: 89.44033790918691
- type: max_accuracy
value: 78.72225230102869
- type: max_ap
value: 80.64030954198267
- type: max_f1
value: 80.52190121155638
- task:
type: Classification
dataset:
type: C-MTEB/OnlineShopping-classification
name: MTEB OnlineShopping
config: default
split: test
revision: e610f2ebd179a8fda30ae534c3878750a96db120
metrics:
- type: accuracy
value: 92.50999999999999
- type: ap
value: 90.6813824215301
- type: f1
value: 92.50242491859119
- task:
type: STS
dataset:
type: C-MTEB/PAWSX
name: MTEB PAWSX
config: default
split: test
revision: 9c6a90e430ac22b5779fb019a23e820b11a8b5e1
metrics:
- type: cos_sim_pearson
value: 33.62875118995766
- type: cos_sim_spearman
value: 37.89501991717997
- type: euclidean_pearson
value: 38.11011221831966
- type: euclidean_spearman
value: 37.895526338330484
- type: manhattan_pearson
value: 38.116858432886445
- type: manhattan_spearman
value: 37.88106872717212
- task:
type: STS
dataset:
type: C-MTEB/QBQTC
name: MTEB QBQTC
config: default
split: test
revision: 790b0510dc52b1553e8c49f3d2afb48c0e5c48b7
metrics:
- type: cos_sim_pearson
value: 32.1385659529461
- type: cos_sim_spearman
value: 33.68856769791845
- type: euclidean_pearson
value: 32.15616490172132
- type: euclidean_spearman
value: 33.68858640049767
- type: manhattan_pearson
value: 32.14550781906868
- type: manhattan_spearman
value: 33.65866728414211
- task:
type: STS
dataset:
type: mteb/sts22-crosslingual-sts
name: MTEB STS22 (zh)
config: zh
split: test
revision: eea2b4fe26a775864c896887d910b76a8098ad3f
metrics:
- type: cos_sim_pearson
value: 63.64041828778335
- type: cos_sim_spearman
value: 64.3174530347361
- type: euclidean_pearson
value: 63.479188950744536
- type: euclidean_spearman
value: 64.3174530347361
- type: manhattan_pearson
value: 64.39947888986349
- type: manhattan_spearman
value: 64.85543965969501
- task:
type: STS
dataset:
type: C-MTEB/STSB
name: MTEB STSB
config: default
split: test
revision: 0cde68302b3541bb8b3c340dc0644b0b745b3dc0
metrics:
- type: cos_sim_pearson
value: 79.7474147570934
- type: cos_sim_spearman
value: 81.18400577201275
- type: euclidean_pearson
value: 80.94389968174902
- type: euclidean_spearman
value: 81.1838334524369
- type: manhattan_pearson
value: 80.88029725713798
- type: manhattan_spearman
value: 81.12169479476515
- task:
type: Reranking
dataset:
type: C-MTEB/T2Reranking
name: MTEB T2Reranking
config: default
split: dev
revision: 76631901a18387f85eaa53e5450019b87ad58ef9
metrics:
- type: map
value: 66.59735366130352
- type: mrr
value: 76.42600563132046
- task:
type: Retrieval
dataset:
type: C-MTEB/T2Retrieval
name: MTEB T2Retrieval
config: default
split: dev
revision: 8731a845f1bf500a4f111cf1070785c793d10e64
metrics:
- type: map_at_1
value: 28.819
- type: map_at_10
value: 77.486
- type: map_at_100
value: 81.14
- type: map_at_1000
value: 81.21300000000001
- type: map_at_3
value: 55.432
- type: map_at_5
value: 67.486
- type: mrr_at_1
value: 91.364
- type: mrr_at_10
value: 94.059
- type: mrr_at_100
value: 94.118
- type: mrr_at_1000
value: 94.119
- type: mrr_at_3
value: 93.705
- type: mrr_at_5
value: 93.928
- type: ndcg_at_1
value: 91.364
- type: ndcg_at_10
value: 85.446
- type: ndcg_at_100
value: 89.10900000000001
- type: ndcg_at_1000
value: 89.75
- type: ndcg_at_3
value: 87.259
- type: ndcg_at_5
value: 85.658
- type: precision_at_1
value: 91.364
- type: precision_at_10
value: 41.525
- type: precision_at_100
value: 4.989
- type: precision_at_1000
value: 0.516
- type: precision_at_3
value: 75.44999999999999
- type: precision_at_5
value: 62.773999999999994
- type: recall_at_1
value: 28.819
- type: recall_at_10
value: 84.20400000000001
- type: recall_at_100
value: 95.773
- type: recall_at_1000
value: 98.79
- type: recall_at_3
value: 57.281000000000006
- type: recall_at_5
value: 71.06099999999999
- task:
type: Classification
dataset:
type: C-MTEB/TNews-classification
name: MTEB TNews
config: default
split: validation
revision: 317f262bf1e6126357bbe89e875451e4b0938fe4
metrics:
- type: accuracy
value: 52.16399999999999
- type: f1
value: 50.49861014604211
- task:
type: Clustering
dataset:
type: C-MTEB/ThuNewsClusteringP2P
name: MTEB ThuNewsClusteringP2P
config: default
split: test
revision: 5798586b105c0434e4f0fe5e767abe619442cf93
metrics:
- type: v_measure
value: 70.29645586740038
- task:
type: Clustering
dataset:
type: C-MTEB/ThuNewsClusteringS2S
name: MTEB ThuNewsClusteringS2S
config: default
split: test
revision: 8a8b2caeda43f39e13c4bc5bea0f8a667896e10d
metrics:
- type: v_measure
value: 62.99298994761416
- task:
type: Retrieval
dataset:
type: C-MTEB/VideoRetrieval
name: MTEB VideoRetrieval
config: default
split: dev
revision: 58c2597a5943a2ba48f4668c3b90d796283c5639
metrics:
- type: map_at_1
value: 60.099999999999994
- type: map_at_10
value: 69.404
- type: map_at_100
value: 69.85900000000001
- type: map_at_1000
value: 69.87299999999999
- type: map_at_3
value: 67.80000000000001
- type: map_at_5
value: 68.755
- type: mrr_at_1
value: 60.099999999999994
- type: mrr_at_10
value: 69.404
- type: mrr_at_100
value: 69.85900000000001
- type: mrr_at_1000
value: 69.87299999999999
- type: mrr_at_3
value: 67.80000000000001
- type: mrr_at_5
value: 68.755
- type: ndcg_at_1
value: 60.099999999999994
- type: ndcg_at_10
value: 73.624
- type: ndcg_at_100
value: 75.763
- type: ndcg_at_1000
value: 76.077
- type: ndcg_at_3
value: 70.316
- type: ndcg_at_5
value: 72.063
- type: precision_at_1
value: 60.099999999999994
- type: precision_at_10
value: 8.67
- type: precision_at_100
value: 0.9650000000000001
- type: precision_at_1000
value: 0.099
- type: precision_at_3
value: 25.867
- type: precision_at_5
value: 16.38
- type: recall_at_1
value: 60.099999999999994
- type: recall_at_10
value: 86.7
- type: recall_at_100
value: 96.5
- type: recall_at_1000
value: 98.9
- type: recall_at_3
value: 77.60000000000001
- type: recall_at_5
value: 81.89999999999999
- task:
type: Classification
dataset:
type: C-MTEB/waimai-classification
name: MTEB Waimai
config: default
split: test
revision: 339287def212450dcaa9df8c22bf93e9980c7023
metrics:
- type: accuracy
value: 88.36
- type: ap
value: 73.25144216855439
- type: f1
value: 86.75076261442027