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@@ -2837,6 +2837,90 @@ model-index:
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  value: 86.83702628983627
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  - type: manhattan_spearman
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  value: 87.87791000374443
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  - task:
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  type: STS
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  dataset:
@@ -2847,17 +2931,143 @@ model-index:
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  revision: af5e6fb845001ecf41f4c1e033ce921939a2a68d
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  metrics:
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  - type: cos_sim_pearson
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- value: 91.6934766230911
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  - type: cos_sim_spearman
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- value: 91.76610452580849
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  - type: euclidean_pearson
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- value: 91.84972362904293
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  - type: euclidean_spearman
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- value: 91.76610452580849
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  - type: manhattan_pearson
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- value: 91.72471134652476
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  - type: manhattan_spearman
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- value: 91.57332965544492
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  - task:
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  type: STS
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  dataset:
@@ -2868,17 +3078,374 @@ model-index:
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  revision: 6d1ba47164174a496b7fa5d3569dae26a6813b80
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  metrics:
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  - type: cos_sim_pearson
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- value: 67.53254210885925
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  - type: cos_sim_spearman
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- value: 66.97079949935386
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  - type: euclidean_pearson
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- value: 68.19500839554337
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  - type: euclidean_spearman
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- value: 66.97079949935386
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  - type: manhattan_pearson
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- value: 68.39083341409233
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  - type: manhattan_spearman
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- value: 67.09308082453076
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  - task:
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  type: STS
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  dataset:
@@ -5381,4 +5948,4 @@ Different versions of `transformers` and `pytorch` could cause negligible but no
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  Using this model for inputs longer than 4096 tokens is not recommended.
5383
 
5384
- This model's multilingual capability is still inferior to [multilingual-e5-large](https://huggingface.co/intfloat/multilingual-e5-large) for most cases.
 
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  value: 86.83702628983627
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  - type: manhattan_spearman
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  value: 87.87791000374443
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+ - task:
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+ dataset:
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+ type: mteb/sts17-crosslingual-sts
2844
+ name: MTEB STS17 (ko-ko)
2845
+ config: ko-ko
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+ split: test
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+ revision: af5e6fb845001ecf41f4c1e033ce921939a2a68d
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+ metrics:
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+ - type: cos_sim_pearson
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+ value: 83.69454026433006
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+ - type: manhattan_pearson
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+ value: 84.11527379013802
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+ - task:
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+ dataset:
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+ type: mteb/sts17-crosslingual-sts
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+ name: MTEB STS17 (ar-ar)
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+ config: ar-ar
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+ split: test
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+ revision: af5e6fb845001ecf41f4c1e033ce921939a2a68d
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+ metrics:
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+ - type: cos_sim_pearson
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+ dataset:
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+ type: mteb/sts17-crosslingual-sts
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+ name: MTEB STS17 (en-ar)
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+ config: en-ar
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+ split: test
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+ revision: af5e6fb845001ecf41f4c1e033ce921939a2a68d
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+ metrics:
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+ - type: cos_sim_pearson
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+ type: mteb/sts17-crosslingual-sts
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+ name: MTEB STS17 (en-de)
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  type: STS
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  dataset:
 
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  revision: af5e6fb845001ecf41f4c1e033ce921939a2a68d
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  metrics:
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  - type: cos_sim_pearson
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+ name: MTEB STS17 (en-tr)
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+ config: en-tr
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+ split: test
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+ type: mteb/sts17-crosslingual-sts
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+ name: MTEB STS17 (es-en)
2971
+ config: es-en
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+ split: test
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+ metrics:
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+ dataset:
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+ type: mteb/sts17-crosslingual-sts
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+ config: es-es
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+ split: test
2994
+ revision: af5e6fb845001ecf41f4c1e033ce921939a2a68d
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+ metrics:
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+ - type: cos_sim_pearson
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+ value: 88.70124451546057
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  - type: cos_sim_spearman
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  - type: euclidean_pearson
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  - type: euclidean_spearman
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  - type: manhattan_pearson
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  - type: manhattan_spearman
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+ dataset:
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+ type: mteb/sts17-crosslingual-sts
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+ name: MTEB STS17 (fr-en)
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+ config: fr-en
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+ split: test
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+ revision: af5e6fb845001ecf41f4c1e033ce921939a2a68d
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+ metrics:
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+ config: it-en
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  type: STS
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  dataset:
 
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  revision: 6d1ba47164174a496b7fa5d3569dae26a6813b80
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  metrics:
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  - type: cos_sim_pearson
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+ split: test
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+ name: MTEB STS22 (es)
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+ config: es
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+ split: test
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+ name: MTEB STS22 (pl)
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+ config: zh
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3277
+ - type: manhattan_pearson
3278
+ value: 67.72769744612663
3279
+ - type: manhattan_spearman
3280
+ value: 59.64714507774168
3281
+ - task:
3282
+ type: STS
3283
+ dataset:
3284
+ type: mteb/sts22-crosslingual-sts
3285
+ name: MTEB STS22 (es-en)
3286
+ config: es-en
3287
+ split: test
3288
+ revision: 6d1ba47164174a496b7fa5d3569dae26a6813b80
3289
+ metrics:
3290
+ - type: cos_sim_pearson
3291
+ value: 73.93491616145891
3292
+ - type: cos_sim_spearman
3293
+ value: 75.84242594400156
3294
+ - type: euclidean_pearson
3295
+ value: 74.87279745626121
3296
+ - type: euclidean_spearman
3297
+ value: 75.84242594400156
3298
+ - type: manhattan_pearson
3299
+ value: 76.47764144677505
3300
+ - type: manhattan_spearman
3301
+ value: 77.08411157845183
3302
+ - task:
3303
+ type: STS
3304
+ dataset:
3305
+ type: mteb/sts22-crosslingual-sts
3306
+ name: MTEB STS22 (it)
3307
+ config: it
3308
+ split: test
3309
+ revision: 6d1ba47164174a496b7fa5d3569dae26a6813b80
3310
+ metrics:
3311
+ - type: cos_sim_pearson
3312
+ value: 72.75624124540954
3313
+ - type: cos_sim_spearman
3314
+ value: 75.8667941654703
3315
+ - type: euclidean_pearson
3316
+ value: 73.74314588451925
3317
+ - type: euclidean_spearman
3318
+ value: 75.8667941654703
3319
+ - type: manhattan_pearson
3320
+ value: 73.99641425871518
3321
+ - type: manhattan_spearman
3322
+ value: 76.1982840205817
3323
+ - task:
3324
+ type: STS
3325
+ dataset:
3326
+ type: mteb/sts22-crosslingual-sts
3327
+ name: MTEB STS22 (pl-en)
3328
+ config: pl-en
3329
+ split: test
3330
+ revision: 6d1ba47164174a496b7fa5d3569dae26a6813b80
3331
+ metrics:
3332
+ - type: cos_sim_pearson
3333
+ value: 75.20898141298767
3334
+ - type: cos_sim_spearman
3335
+ value: 73.18060375331436
3336
+ - type: euclidean_pearson
3337
+ value: 75.44489280944619
3338
+ - type: euclidean_spearman
3339
+ value: 73.18060375331436
3340
+ - type: manhattan_pearson
3341
+ value: 75.65451039552286
3342
+ - type: manhattan_spearman
3343
+ value: 72.97744006123156
3344
+ - task:
3345
+ type: STS
3346
+ dataset:
3347
+ type: mteb/sts22-crosslingual-sts
3348
+ name: MTEB STS22 (zh-en)
3349
+ config: zh-en
3350
+ split: test
3351
+ revision: 6d1ba47164174a496b7fa5d3569dae26a6813b80
3352
+ metrics:
3353
+ - type: cos_sim_pearson
3354
+ value: 72.04278252247816
3355
+ - type: cos_sim_spearman
3356
+ value: 71.8846446821539
3357
+ - type: euclidean_pearson
3358
+ value: 73.16043307050612
3359
+ - type: euclidean_spearman
3360
+ value: 71.8846446821539
3361
+ - type: manhattan_pearson
3362
+ value: 74.76905116839777
3363
+ - type: manhattan_spearman
3364
+ value: 72.66237093518471
3365
+ - task:
3366
+ type: STS
3367
+ dataset:
3368
+ type: mteb/sts22-crosslingual-sts
3369
+ name: MTEB STS22 (es-it)
3370
+ config: es-it
3371
+ split: test
3372
+ revision: 6d1ba47164174a496b7fa5d3569dae26a6813b80
3373
+ metrics:
3374
+ - type: cos_sim_pearson
3375
+ value: 71.71033173838558
3376
+ - type: cos_sim_spearman
3377
+ value: 75.043122881885
3378
+ - type: euclidean_pearson
3379
+ value: 72.77579680345087
3380
+ - type: euclidean_spearman
3381
+ value: 75.043122881885
3382
+ - type: manhattan_pearson
3383
+ value: 72.99901534854922
3384
+ - type: manhattan_spearman
3385
+ value: 75.15418335015957
3386
+ - task:
3387
+ type: STS
3388
+ dataset:
3389
+ type: mteb/sts22-crosslingual-sts
3390
+ name: MTEB STS22 (de-fr)
3391
+ config: de-fr
3392
+ split: test
3393
+ revision: 6d1ba47164174a496b7fa5d3569dae26a6813b80
3394
+ metrics:
3395
+ - type: cos_sim_pearson
3396
+ value: 55.75733447190482
3397
+ - type: cos_sim_spearman
3398
+ value: 61.38968334176681
3399
+ - type: euclidean_pearson
3400
+ value: 55.479231520643744
3401
+ - type: euclidean_spearman
3402
+ value: 61.38968334176681
3403
+ - type: manhattan_pearson
3404
+ value: 56.05230571465244
3405
+ - type: manhattan_spearman
3406
+ value: 62.69383054007398
3407
+ - task:
3408
+ type: STS
3409
+ dataset:
3410
+ type: mteb/sts22-crosslingual-sts
3411
+ name: MTEB STS22 (de-pl)
3412
+ config: de-pl
3413
+ split: test
3414
+ revision: 6d1ba47164174a496b7fa5d3569dae26a6813b80
3415
+ metrics:
3416
+ - type: cos_sim_pearson
3417
+ value: 41.72244325050302
3418
+ - type: cos_sim_spearman
3419
+ value: 54.47476909084119
3420
+ - type: euclidean_pearson
3421
+ value: 43.94629756436873
3422
+ - type: euclidean_spearman
3423
+ value: 54.47476909084119
3424
+ - type: manhattan_pearson
3425
+ value: 46.36533046394657
3426
+ - type: manhattan_spearman
3427
+ value: 54.87509243633636
3428
+ - task:
3429
+ type: STS
3430
+ dataset:
3431
+ type: mteb/sts22-crosslingual-sts
3432
+ name: MTEB STS22 (fr-pl)
3433
+ config: fr-pl
3434
+ split: test
3435
+ revision: 6d1ba47164174a496b7fa5d3569dae26a6813b80
3436
+ metrics:
3437
+ - type: cos_sim_pearson
3438
+ value: 70.75183711835146
3439
  - type: cos_sim_spearman
3440
+ value: 84.51542547285167
3441
  - type: euclidean_pearson
3442
+ value: 71.84188960126669
3443
  - type: euclidean_spearman
3444
+ value: 84.51542547285167
3445
  - type: manhattan_pearson
3446
+ value: 73.94847166379994
3447
  - type: manhattan_spearman
3448
+ value: 84.51542547285167
3449
  - task:
3450
  type: STS
3451
  dataset:
 
5948
 
5949
  Using this model for inputs longer than 4096 tokens is not recommended.
5950
 
5951
+ This model's multilingual capability is still inferior to [multilingual-e5-large](https://huggingface.co/intfloat/multilingual-e5-large) for some cases.