Update README.md
Browse files
README.md
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@@ -4,6 +4,48 @@ tags:
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model-index:
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- name: e5-mistral-7b-instruct
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results:
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| 7 |
- task:
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type: Classification
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| 9 |
dataset:
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value: 86.67533327742343
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- type: manhattan_spearman
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value: 85.76099026691983
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- task:
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type: BitextMining
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dataset:
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@@ -385,6 +448,54 @@ model-index:
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metrics:
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- type: v_measure
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| 387 |
value: 40.23505728593893
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| 388 |
- task:
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type: Retrieval
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| 390 |
dataset:
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@@ -523,6 +634,199 @@ model-index:
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value: 29.008
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- type: recall_at_5
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value: 35.58
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| 526 |
- task:
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type: Retrieval
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| 528 |
dataset:
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@@ -592,6 +896,144 @@ model-index:
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value: 17.495
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- type: recall_at_5
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value: 22.235
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| 595 |
- task:
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type: Classification
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dataset:
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@@ -812,6 +1254,19 @@ model-index:
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value: 69.669
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- type: recall_at_5
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value: 75.604
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- task:
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type: Classification
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dataset:
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@@ -827,6 +1282,124 @@ model-index:
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value: 92.52931921594387
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- type: f1
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value: 94.77902110732532
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- task:
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type: Retrieval
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dataset:
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@@ -2378,6 +2951,75 @@ model-index:
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value: 76.86617350369872
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- type: f1
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value: 77.42645654909516
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| 2381 |
- task:
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type: Clustering
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dataset:
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@@ -2413,6 +3055,19 @@ model-index:
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value: 32.59661273103955
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- type: mrr
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value: 33.82024242497473
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| 2416 |
- task:
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type: Retrieval
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| 2418 |
dataset:
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@@ -2551,6 +3206,118 @@ model-index:
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value: 64.091
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- type: recall_at_5
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value: 74.063
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| 2554 |
- task:
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| 2555 |
type: Retrieval
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| 2556 |
dataset:
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@@ -3446,6 +4213,27 @@ model-index:
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| 3446 |
value: 73.94847166379994
|
| 3447 |
- type: manhattan_spearman
|
| 3448 |
value: 84.51542547285167
|
|
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|
| 3449 |
- task:
|
| 3450 |
type: STS
|
| 3451 |
dataset:
|
|
@@ -3656,6 +4444,101 @@ model-index:
|
|
| 3656 |
value: 31.469083969291894
|
| 3657 |
- type: dot_spearman
|
| 3658 |
value: 31.40325730367437
|
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|
| 3659 |
- task:
|
| 3660 |
type: Retrieval
|
| 3661 |
dataset:
|
|
@@ -5629,6 +6512,28 @@ model-index:
|
|
| 5629 |
value: 88.53333333333333
|
| 5630 |
- type: recall
|
| 5631 |
value: 91.9
|
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|
| 5632 |
- task:
|
| 5633 |
type: Retrieval
|
| 5634 |
dataset:
|
|
@@ -5847,6 +6752,90 @@ model-index:
|
|
| 5847 |
value: 87.78807479093082
|
| 5848 |
- type: max_f1
|
| 5849 |
value: 80.3221673073403
|
|
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|
|
|
| 5850 |
language:
|
| 5851 |
- en
|
| 5852 |
license: mit
|
|
@@ -5965,3 +6954,4 @@ If you find our paper or models helpful, please consider cite as follows:
|
|
| 5965 |
Using this model for inputs longer than 4096 tokens is not recommended.
|
| 5966 |
|
| 5967 |
This model's multilingual capability is still inferior to [multilingual-e5-large](https://huggingface.co/intfloat/multilingual-e5-large) for some cases.
|
|
|
|
|
|
| 4 |
model-index:
|
| 5 |
- name: e5-mistral-7b-instruct
|
| 6 |
results:
|
| 7 |
+
- task:
|
| 8 |
+
type: STS
|
| 9 |
+
dataset:
|
| 10 |
+
type: C-MTEB/AFQMC
|
| 11 |
+
name: MTEB AFQMC
|
| 12 |
+
config: default
|
| 13 |
+
split: validation
|
| 14 |
+
revision: None
|
| 15 |
+
metrics:
|
| 16 |
+
- type: cos_sim_pearson
|
| 17 |
+
value: 37.863226091673866
|
| 18 |
+
- type: cos_sim_spearman
|
| 19 |
+
value: 38.98733013335281
|
| 20 |
+
- type: euclidean_pearson
|
| 21 |
+
value: 37.51783380497874
|
| 22 |
+
- type: euclidean_spearman
|
| 23 |
+
value: 38.98733012753365
|
| 24 |
+
- type: manhattan_pearson
|
| 25 |
+
value: 37.26706888081721
|
| 26 |
+
- type: manhattan_spearman
|
| 27 |
+
value: 38.709750161903834
|
| 28 |
+
- task:
|
| 29 |
+
type: STS
|
| 30 |
+
dataset:
|
| 31 |
+
type: C-MTEB/ATEC
|
| 32 |
+
name: MTEB ATEC
|
| 33 |
+
config: default
|
| 34 |
+
split: test
|
| 35 |
+
revision: None
|
| 36 |
+
metrics:
|
| 37 |
+
- type: cos_sim_pearson
|
| 38 |
+
value: 43.33924583134623
|
| 39 |
+
- type: cos_sim_spearman
|
| 40 |
+
value: 42.84316155158754
|
| 41 |
+
- type: euclidean_pearson
|
| 42 |
+
value: 45.62709879515238
|
| 43 |
+
- type: euclidean_spearman
|
| 44 |
+
value: 42.843155921732404
|
| 45 |
+
- type: manhattan_pearson
|
| 46 |
+
value: 45.4786950991229
|
| 47 |
+
- type: manhattan_spearman
|
| 48 |
+
value: 42.657334751855984
|
| 49 |
- task:
|
| 50 |
type: Classification
|
| 51 |
dataset:
|
|
|
|
| 324 |
value: 86.67533327742343
|
| 325 |
- type: manhattan_spearman
|
| 326 |
value: 85.76099026691983
|
| 327 |
+
- task:
|
| 328 |
+
type: STS
|
| 329 |
+
dataset:
|
| 330 |
+
type: C-MTEB/BQ
|
| 331 |
+
name: MTEB BQ
|
| 332 |
+
config: default
|
| 333 |
+
split: test
|
| 334 |
+
revision: None
|
| 335 |
+
metrics:
|
| 336 |
+
- type: cos_sim_pearson
|
| 337 |
+
value: 50.31998888922809
|
| 338 |
+
- type: cos_sim_spearman
|
| 339 |
+
value: 50.6369940530675
|
| 340 |
+
- type: euclidean_pearson
|
| 341 |
+
value: 50.055544636296055
|
| 342 |
+
- type: euclidean_spearman
|
| 343 |
+
value: 50.63699405154838
|
| 344 |
+
- type: manhattan_pearson
|
| 345 |
+
value: 50.00739378036807
|
| 346 |
+
- type: manhattan_spearman
|
| 347 |
+
value: 50.607237418676945
|
| 348 |
- task:
|
| 349 |
type: BitextMining
|
| 350 |
dataset:
|
|
|
|
| 448 |
metrics:
|
| 449 |
- type: v_measure
|
| 450 |
value: 40.23505728593893
|
| 451 |
+
- task:
|
| 452 |
+
type: Clustering
|
| 453 |
+
dataset:
|
| 454 |
+
type: C-MTEB/CLSClusteringP2P
|
| 455 |
+
name: MTEB CLSClusteringP2P
|
| 456 |
+
config: default
|
| 457 |
+
split: test
|
| 458 |
+
revision: None
|
| 459 |
+
metrics:
|
| 460 |
+
- type: v_measure
|
| 461 |
+
value: 44.419028279451275
|
| 462 |
+
- task:
|
| 463 |
+
type: Clustering
|
| 464 |
+
dataset:
|
| 465 |
+
type: C-MTEB/CLSClusteringS2S
|
| 466 |
+
name: MTEB CLSClusteringS2S
|
| 467 |
+
config: default
|
| 468 |
+
split: test
|
| 469 |
+
revision: None
|
| 470 |
+
metrics:
|
| 471 |
+
- type: v_measure
|
| 472 |
+
value: 42.5820277929776
|
| 473 |
+
- task:
|
| 474 |
+
type: Reranking
|
| 475 |
+
dataset:
|
| 476 |
+
type: C-MTEB/CMedQAv1-reranking
|
| 477 |
+
name: MTEB CMedQAv1
|
| 478 |
+
config: default
|
| 479 |
+
split: test
|
| 480 |
+
revision: None
|
| 481 |
+
metrics:
|
| 482 |
+
- type: map
|
| 483 |
+
value: 77.67811726152972
|
| 484 |
+
- type: mrr
|
| 485 |
+
value: 80.99003968253969
|
| 486 |
+
- task:
|
| 487 |
+
type: Reranking
|
| 488 |
+
dataset:
|
| 489 |
+
type: C-MTEB/CMedQAv2-reranking
|
| 490 |
+
name: MTEB CMedQAv2
|
| 491 |
+
config: default
|
| 492 |
+
split: test
|
| 493 |
+
revision: None
|
| 494 |
+
metrics:
|
| 495 |
+
- type: map
|
| 496 |
+
value: 78.66055354534922
|
| 497 |
+
- type: mrr
|
| 498 |
+
value: 81.66119047619047
|
| 499 |
- task:
|
| 500 |
type: Retrieval
|
| 501 |
dataset:
|
|
|
|
| 634 |
value: 29.008
|
| 635 |
- type: recall_at_5
|
| 636 |
value: 35.58
|
| 637 |
+
- task:
|
| 638 |
+
type: Retrieval
|
| 639 |
+
dataset:
|
| 640 |
+
type: C-MTEB/CmedqaRetrieval
|
| 641 |
+
name: MTEB CmedqaRetrieval
|
| 642 |
+
config: default
|
| 643 |
+
split: dev
|
| 644 |
+
revision: None
|
| 645 |
+
metrics:
|
| 646 |
+
- type: map_at_1
|
| 647 |
+
value: 19.482
|
| 648 |
+
- type: map_at_10
|
| 649 |
+
value: 28.622999999999998
|
| 650 |
+
- type: map_at_100
|
| 651 |
+
value: 30.262
|
| 652 |
+
- type: map_at_1000
|
| 653 |
+
value: 30.432
|
| 654 |
+
- type: map_at_3
|
| 655 |
+
value: 25.647
|
| 656 |
+
- type: map_at_5
|
| 657 |
+
value: 27.128000000000004
|
| 658 |
+
- type: mrr_at_1
|
| 659 |
+
value: 30.408
|
| 660 |
+
- type: mrr_at_10
|
| 661 |
+
value: 37.188
|
| 662 |
+
- type: mrr_at_100
|
| 663 |
+
value: 38.196000000000005
|
| 664 |
+
- type: mrr_at_1000
|
| 665 |
+
value: 38.273
|
| 666 |
+
- type: mrr_at_3
|
| 667 |
+
value: 35.067
|
| 668 |
+
- type: mrr_at_5
|
| 669 |
+
value: 36.124
|
| 670 |
+
- type: ndcg_at_1
|
| 671 |
+
value: 30.408
|
| 672 |
+
- type: ndcg_at_10
|
| 673 |
+
value: 34.215
|
| 674 |
+
- type: ndcg_at_100
|
| 675 |
+
value: 41.349999999999994
|
| 676 |
+
- type: ndcg_at_1000
|
| 677 |
+
value: 44.689
|
| 678 |
+
- type: ndcg_at_3
|
| 679 |
+
value: 30.264999999999997
|
| 680 |
+
- type: ndcg_at_5
|
| 681 |
+
value: 31.572
|
| 682 |
+
- type: precision_at_1
|
| 683 |
+
value: 30.408
|
| 684 |
+
- type: precision_at_10
|
| 685 |
+
value: 7.6770000000000005
|
| 686 |
+
- type: precision_at_100
|
| 687 |
+
value: 1.352
|
| 688 |
+
- type: precision_at_1000
|
| 689 |
+
value: 0.178
|
| 690 |
+
- type: precision_at_3
|
| 691 |
+
value: 17.213
|
| 692 |
+
- type: precision_at_5
|
| 693 |
+
value: 12.198
|
| 694 |
+
- type: recall_at_1
|
| 695 |
+
value: 19.482
|
| 696 |
+
- type: recall_at_10
|
| 697 |
+
value: 42.368
|
| 698 |
+
- type: recall_at_100
|
| 699 |
+
value: 72.694
|
| 700 |
+
- type: recall_at_1000
|
| 701 |
+
value: 95.602
|
| 702 |
+
- type: recall_at_3
|
| 703 |
+
value: 30.101
|
| 704 |
+
- type: recall_at_5
|
| 705 |
+
value: 34.708
|
| 706 |
+
- task:
|
| 707 |
+
type: PairClassification
|
| 708 |
+
dataset:
|
| 709 |
+
type: C-MTEB/CMNLI
|
| 710 |
+
name: MTEB Cmnli
|
| 711 |
+
config: default
|
| 712 |
+
split: validation
|
| 713 |
+
revision: None
|
| 714 |
+
metrics:
|
| 715 |
+
- type: cos_sim_accuracy
|
| 716 |
+
value: 71.16055321707758
|
| 717 |
+
- type: cos_sim_ap
|
| 718 |
+
value: 80.21073839711723
|
| 719 |
+
- type: cos_sim_f1
|
| 720 |
+
value: 72.9740932642487
|
| 721 |
+
- type: cos_sim_precision
|
| 722 |
+
value: 65.53136050623488
|
| 723 |
+
- type: cos_sim_recall
|
| 724 |
+
value: 82.3240589198036
|
| 725 |
+
- type: dot_accuracy
|
| 726 |
+
value: 71.16055321707758
|
| 727 |
+
- type: dot_ap
|
| 728 |
+
value: 80.212299264122
|
| 729 |
+
- type: dot_f1
|
| 730 |
+
value: 72.9740932642487
|
| 731 |
+
- type: dot_precision
|
| 732 |
+
value: 65.53136050623488
|
| 733 |
+
- type: dot_recall
|
| 734 |
+
value: 82.3240589198036
|
| 735 |
+
- type: euclidean_accuracy
|
| 736 |
+
value: 71.16055321707758
|
| 737 |
+
- type: euclidean_ap
|
| 738 |
+
value: 80.21076298680417
|
| 739 |
+
- type: euclidean_f1
|
| 740 |
+
value: 72.9740932642487
|
| 741 |
+
- type: euclidean_precision
|
| 742 |
+
value: 65.53136050623488
|
| 743 |
+
- type: euclidean_recall
|
| 744 |
+
value: 82.3240589198036
|
| 745 |
+
- type: manhattan_accuracy
|
| 746 |
+
value: 70.71557426337944
|
| 747 |
+
- type: manhattan_ap
|
| 748 |
+
value: 79.93448977199749
|
| 749 |
+
- type: manhattan_f1
|
| 750 |
+
value: 72.83962726826877
|
| 751 |
+
- type: manhattan_precision
|
| 752 |
+
value: 62.7407908077053
|
| 753 |
+
- type: manhattan_recall
|
| 754 |
+
value: 86.81318681318682
|
| 755 |
+
- type: max_accuracy
|
| 756 |
+
value: 71.16055321707758
|
| 757 |
+
- type: max_ap
|
| 758 |
+
value: 80.212299264122
|
| 759 |
+
- type: max_f1
|
| 760 |
+
value: 72.9740932642487
|
| 761 |
+
- task:
|
| 762 |
+
type: Retrieval
|
| 763 |
+
dataset:
|
| 764 |
+
type: C-MTEB/CovidRetrieval
|
| 765 |
+
name: MTEB CovidRetrieval
|
| 766 |
+
config: default
|
| 767 |
+
split: dev
|
| 768 |
+
revision: None
|
| 769 |
+
metrics:
|
| 770 |
+
- type: map_at_1
|
| 771 |
+
value: 60.643
|
| 772 |
+
- type: map_at_10
|
| 773 |
+
value: 69.011
|
| 774 |
+
- type: map_at_100
|
| 775 |
+
value: 69.533
|
| 776 |
+
- type: map_at_1000
|
| 777 |
+
value: 69.545
|
| 778 |
+
- type: map_at_3
|
| 779 |
+
value: 67.167
|
| 780 |
+
- type: map_at_5
|
| 781 |
+
value: 68.12700000000001
|
| 782 |
+
- type: mrr_at_1
|
| 783 |
+
value: 60.801
|
| 784 |
+
- type: mrr_at_10
|
| 785 |
+
value: 69.111
|
| 786 |
+
- type: mrr_at_100
|
| 787 |
+
value: 69.6
|
| 788 |
+
- type: mrr_at_1000
|
| 789 |
+
value: 69.611
|
| 790 |
+
- type: mrr_at_3
|
| 791 |
+
value: 67.229
|
| 792 |
+
- type: mrr_at_5
|
| 793 |
+
value: 68.214
|
| 794 |
+
- type: ndcg_at_1
|
| 795 |
+
value: 60.801
|
| 796 |
+
- type: ndcg_at_10
|
| 797 |
+
value: 73.128
|
| 798 |
+
- type: ndcg_at_100
|
| 799 |
+
value: 75.614
|
| 800 |
+
- type: ndcg_at_1000
|
| 801 |
+
value: 75.92
|
| 802 |
+
- type: ndcg_at_3
|
| 803 |
+
value: 69.261
|
| 804 |
+
- type: ndcg_at_5
|
| 805 |
+
value: 70.973
|
| 806 |
+
- type: precision_at_1
|
| 807 |
+
value: 60.801
|
| 808 |
+
- type: precision_at_10
|
| 809 |
+
value: 8.662
|
| 810 |
+
- type: precision_at_100
|
| 811 |
+
value: 0.9860000000000001
|
| 812 |
+
- type: precision_at_1000
|
| 813 |
+
value: 0.101
|
| 814 |
+
- type: precision_at_3
|
| 815 |
+
value: 25.149
|
| 816 |
+
- type: precision_at_5
|
| 817 |
+
value: 15.953999999999999
|
| 818 |
+
- type: recall_at_1
|
| 819 |
+
value: 60.643
|
| 820 |
+
- type: recall_at_10
|
| 821 |
+
value: 85.959
|
| 822 |
+
- type: recall_at_100
|
| 823 |
+
value: 97.576
|
| 824 |
+
- type: recall_at_1000
|
| 825 |
+
value: 100.0
|
| 826 |
+
- type: recall_at_3
|
| 827 |
+
value: 75.184
|
| 828 |
+
- type: recall_at_5
|
| 829 |
+
value: 79.32000000000001
|
| 830 |
- task:
|
| 831 |
type: Retrieval
|
| 832 |
dataset:
|
|
|
|
| 896 |
value: 17.495
|
| 897 |
- type: recall_at_5
|
| 898 |
value: 22.235
|
| 899 |
+
- task:
|
| 900 |
+
type: Retrieval
|
| 901 |
+
dataset:
|
| 902 |
+
type: C-MTEB/DuRetrieval
|
| 903 |
+
name: MTEB DuRetrieval
|
| 904 |
+
config: default
|
| 905 |
+
split: dev
|
| 906 |
+
revision: None
|
| 907 |
+
metrics:
|
| 908 |
+
- type: map_at_1
|
| 909 |
+
value: 26.613999999999997
|
| 910 |
+
- type: map_at_10
|
| 911 |
+
value: 79.77300000000001
|
| 912 |
+
- type: map_at_100
|
| 913 |
+
value: 82.71
|
| 914 |
+
- type: map_at_1000
|
| 915 |
+
value: 82.75
|
| 916 |
+
- type: map_at_3
|
| 917 |
+
value: 55.92700000000001
|
| 918 |
+
- type: map_at_5
|
| 919 |
+
value: 70.085
|
| 920 |
+
- type: mrr_at_1
|
| 921 |
+
value: 90.7
|
| 922 |
+
- type: mrr_at_10
|
| 923 |
+
value: 93.438
|
| 924 |
+
- type: mrr_at_100
|
| 925 |
+
value: 93.504
|
| 926 |
+
- type: mrr_at_1000
|
| 927 |
+
value: 93.50699999999999
|
| 928 |
+
- type: mrr_at_3
|
| 929 |
+
value: 93.125
|
| 930 |
+
- type: mrr_at_5
|
| 931 |
+
value: 93.34
|
| 932 |
+
- type: ndcg_at_1
|
| 933 |
+
value: 90.7
|
| 934 |
+
- type: ndcg_at_10
|
| 935 |
+
value: 87.023
|
| 936 |
+
- type: ndcg_at_100
|
| 937 |
+
value: 90.068
|
| 938 |
+
- type: ndcg_at_1000
|
| 939 |
+
value: 90.43299999999999
|
| 940 |
+
- type: ndcg_at_3
|
| 941 |
+
value: 86.339
|
| 942 |
+
- type: ndcg_at_5
|
| 943 |
+
value: 85.013
|
| 944 |
+
- type: precision_at_1
|
| 945 |
+
value: 90.7
|
| 946 |
+
- type: precision_at_10
|
| 947 |
+
value: 41.339999999999996
|
| 948 |
+
- type: precision_at_100
|
| 949 |
+
value: 4.806
|
| 950 |
+
- type: precision_at_1000
|
| 951 |
+
value: 0.48900000000000005
|
| 952 |
+
- type: precision_at_3
|
| 953 |
+
value: 76.983
|
| 954 |
+
- type: precision_at_5
|
| 955 |
+
value: 64.69
|
| 956 |
+
- type: recall_at_1
|
| 957 |
+
value: 26.613999999999997
|
| 958 |
+
- type: recall_at_10
|
| 959 |
+
value: 87.681
|
| 960 |
+
- type: recall_at_100
|
| 961 |
+
value: 97.44699999999999
|
| 962 |
+
- type: recall_at_1000
|
| 963 |
+
value: 99.348
|
| 964 |
+
- type: recall_at_3
|
| 965 |
+
value: 57.809999999999995
|
| 966 |
+
- type: recall_at_5
|
| 967 |
+
value: 74.258
|
| 968 |
+
- task:
|
| 969 |
+
type: Retrieval
|
| 970 |
+
dataset:
|
| 971 |
+
type: C-MTEB/EcomRetrieval
|
| 972 |
+
name: MTEB EcomRetrieval
|
| 973 |
+
config: default
|
| 974 |
+
split: dev
|
| 975 |
+
revision: None
|
| 976 |
+
metrics:
|
| 977 |
+
- type: map_at_1
|
| 978 |
+
value: 30.9
|
| 979 |
+
- type: map_at_10
|
| 980 |
+
value: 40.467
|
| 981 |
+
- type: map_at_100
|
| 982 |
+
value: 41.423
|
| 983 |
+
- type: map_at_1000
|
| 984 |
+
value: 41.463
|
| 985 |
+
- type: map_at_3
|
| 986 |
+
value: 37.25
|
| 987 |
+
- type: map_at_5
|
| 988 |
+
value: 39.31
|
| 989 |
+
- type: mrr_at_1
|
| 990 |
+
value: 30.9
|
| 991 |
+
- type: mrr_at_10
|
| 992 |
+
value: 40.467
|
| 993 |
+
- type: mrr_at_100
|
| 994 |
+
value: 41.423
|
| 995 |
+
- type: mrr_at_1000
|
| 996 |
+
value: 41.463
|
| 997 |
+
- type: mrr_at_3
|
| 998 |
+
value: 37.25
|
| 999 |
+
- type: mrr_at_5
|
| 1000 |
+
value: 39.31
|
| 1001 |
+
- type: ndcg_at_1
|
| 1002 |
+
value: 30.9
|
| 1003 |
+
- type: ndcg_at_10
|
| 1004 |
+
value: 45.957
|
| 1005 |
+
- type: ndcg_at_100
|
| 1006 |
+
value: 50.735
|
| 1007 |
+
- type: ndcg_at_1000
|
| 1008 |
+
value: 51.861999999999995
|
| 1009 |
+
- type: ndcg_at_3
|
| 1010 |
+
value: 39.437
|
| 1011 |
+
- type: ndcg_at_5
|
| 1012 |
+
value: 43.146
|
| 1013 |
+
- type: precision_at_1
|
| 1014 |
+
value: 30.9
|
| 1015 |
+
- type: precision_at_10
|
| 1016 |
+
value: 6.35
|
| 1017 |
+
- type: precision_at_100
|
| 1018 |
+
value: 0.861
|
| 1019 |
+
- type: precision_at_1000
|
| 1020 |
+
value: 0.095
|
| 1021 |
+
- type: precision_at_3
|
| 1022 |
+
value: 15.267
|
| 1023 |
+
- type: precision_at_5
|
| 1024 |
+
value: 10.96
|
| 1025 |
+
- type: recall_at_1
|
| 1026 |
+
value: 30.9
|
| 1027 |
+
- type: recall_at_10
|
| 1028 |
+
value: 63.5
|
| 1029 |
+
- type: recall_at_100
|
| 1030 |
+
value: 86.1
|
| 1031 |
+
- type: recall_at_1000
|
| 1032 |
+
value: 95.1
|
| 1033 |
+
- type: recall_at_3
|
| 1034 |
+
value: 45.800000000000004
|
| 1035 |
+
- type: recall_at_5
|
| 1036 |
+
value: 54.800000000000004
|
| 1037 |
- task:
|
| 1038 |
type: Classification
|
| 1039 |
dataset:
|
|
|
|
| 1254 |
value: 69.669
|
| 1255 |
- type: recall_at_5
|
| 1256 |
value: 75.604
|
| 1257 |
+
- task:
|
| 1258 |
+
type: Classification
|
| 1259 |
+
dataset:
|
| 1260 |
+
type: C-MTEB/IFlyTek-classification
|
| 1261 |
+
name: MTEB IFlyTek
|
| 1262 |
+
config: default
|
| 1263 |
+
split: validation
|
| 1264 |
+
revision: None
|
| 1265 |
+
metrics:
|
| 1266 |
+
- type: accuracy
|
| 1267 |
+
value: 45.04809542131589
|
| 1268 |
+
- type: f1
|
| 1269 |
+
value: 37.01181779071118
|
| 1270 |
- task:
|
| 1271 |
type: Classification
|
| 1272 |
dataset:
|
|
|
|
| 1282 |
value: 92.52931921594387
|
| 1283 |
- type: f1
|
| 1284 |
value: 94.77902110732532
|
| 1285 |
+
- task:
|
| 1286 |
+
type: Classification
|
| 1287 |
+
dataset:
|
| 1288 |
+
type: C-MTEB/JDReview-classification
|
| 1289 |
+
name: MTEB JDReview
|
| 1290 |
+
config: default
|
| 1291 |
+
split: test
|
| 1292 |
+
revision: None
|
| 1293 |
+
metrics:
|
| 1294 |
+
- type: accuracy
|
| 1295 |
+
value: 85.81613508442777
|
| 1296 |
+
- type: ap
|
| 1297 |
+
value: 52.430320593468394
|
| 1298 |
+
- type: f1
|
| 1299 |
+
value: 79.95467268178068
|
| 1300 |
+
- task:
|
| 1301 |
+
type: STS
|
| 1302 |
+
dataset:
|
| 1303 |
+
type: C-MTEB/LCQMC
|
| 1304 |
+
name: MTEB LCQMC
|
| 1305 |
+
config: default
|
| 1306 |
+
split: test
|
| 1307 |
+
revision: None
|
| 1308 |
+
metrics:
|
| 1309 |
+
- type: cos_sim_pearson
|
| 1310 |
+
value: 71.05801751913393
|
| 1311 |
+
- type: cos_sim_spearman
|
| 1312 |
+
value: 75.47954644971965
|
| 1313 |
+
- type: euclidean_pearson
|
| 1314 |
+
value: 74.27472296759713
|
| 1315 |
+
- type: euclidean_spearman
|
| 1316 |
+
value: 75.47954201369866
|
| 1317 |
+
- type: manhattan_pearson
|
| 1318 |
+
value: 74.30508190186474
|
| 1319 |
+
- type: manhattan_spearman
|
| 1320 |
+
value: 75.51326518159436
|
| 1321 |
+
- task:
|
| 1322 |
+
type: Reranking
|
| 1323 |
+
dataset:
|
| 1324 |
+
type: C-MTEB/Mmarco-reranking
|
| 1325 |
+
name: MTEB MMarcoReranking
|
| 1326 |
+
config: default
|
| 1327 |
+
split: dev
|
| 1328 |
+
revision: None
|
| 1329 |
+
metrics:
|
| 1330 |
+
- type: map
|
| 1331 |
+
value: 24.21110921666315
|
| 1332 |
+
- type: mrr
|
| 1333 |
+
value: 22.863492063492064
|
| 1334 |
+
- task:
|
| 1335 |
+
type: Retrieval
|
| 1336 |
+
dataset:
|
| 1337 |
+
type: C-MTEB/MMarcoRetrieval
|
| 1338 |
+
name: MTEB MMarcoRetrieval
|
| 1339 |
+
config: default
|
| 1340 |
+
split: dev
|
| 1341 |
+
revision: None
|
| 1342 |
+
metrics:
|
| 1343 |
+
- type: map_at_1
|
| 1344 |
+
value: 61.38400000000001
|
| 1345 |
+
- type: map_at_10
|
| 1346 |
+
value: 70.895
|
| 1347 |
+
- type: map_at_100
|
| 1348 |
+
value: 71.314
|
| 1349 |
+
- type: map_at_1000
|
| 1350 |
+
value: 71.331
|
| 1351 |
+
- type: map_at_3
|
| 1352 |
+
value: 69.016
|
| 1353 |
+
- type: map_at_5
|
| 1354 |
+
value: 70.179
|
| 1355 |
+
- type: mrr_at_1
|
| 1356 |
+
value: 63.481
|
| 1357 |
+
- type: mrr_at_10
|
| 1358 |
+
value: 71.543
|
| 1359 |
+
- type: mrr_at_100
|
| 1360 |
+
value: 71.91300000000001
|
| 1361 |
+
- type: mrr_at_1000
|
| 1362 |
+
value: 71.928
|
| 1363 |
+
- type: mrr_at_3
|
| 1364 |
+
value: 69.90899999999999
|
| 1365 |
+
- type: mrr_at_5
|
| 1366 |
+
value: 70.907
|
| 1367 |
+
- type: ndcg_at_1
|
| 1368 |
+
value: 63.481
|
| 1369 |
+
- type: ndcg_at_10
|
| 1370 |
+
value: 74.833
|
| 1371 |
+
- type: ndcg_at_100
|
| 1372 |
+
value: 76.705
|
| 1373 |
+
- type: ndcg_at_1000
|
| 1374 |
+
value: 77.13600000000001
|
| 1375 |
+
- type: ndcg_at_3
|
| 1376 |
+
value: 71.236
|
| 1377 |
+
- type: ndcg_at_5
|
| 1378 |
+
value: 73.199
|
| 1379 |
+
- type: precision_at_1
|
| 1380 |
+
value: 63.481
|
| 1381 |
+
- type: precision_at_10
|
| 1382 |
+
value: 9.179
|
| 1383 |
+
- type: precision_at_100
|
| 1384 |
+
value: 1.011
|
| 1385 |
+
- type: precision_at_1000
|
| 1386 |
+
value: 0.105
|
| 1387 |
+
- type: precision_at_3
|
| 1388 |
+
value: 27.044
|
| 1389 |
+
- type: precision_at_5
|
| 1390 |
+
value: 17.272000000000002
|
| 1391 |
+
- type: recall_at_1
|
| 1392 |
+
value: 61.38400000000001
|
| 1393 |
+
- type: recall_at_10
|
| 1394 |
+
value: 86.318
|
| 1395 |
+
- type: recall_at_100
|
| 1396 |
+
value: 94.786
|
| 1397 |
+
- type: recall_at_1000
|
| 1398 |
+
value: 98.14500000000001
|
| 1399 |
+
- type: recall_at_3
|
| 1400 |
+
value: 76.717
|
| 1401 |
+
- type: recall_at_5
|
| 1402 |
+
value: 81.416
|
| 1403 |
- task:
|
| 1404 |
type: Retrieval
|
| 1405 |
dataset:
|
|
|
|
| 2951 |
value: 76.86617350369872
|
| 2952 |
- type: f1
|
| 2953 |
value: 77.42645654909516
|
| 2954 |
+
- task:
|
| 2955 |
+
type: Retrieval
|
| 2956 |
+
dataset:
|
| 2957 |
+
type: C-MTEB/MedicalRetrieval
|
| 2958 |
+
name: MTEB MedicalRetrieval
|
| 2959 |
+
config: default
|
| 2960 |
+
split: dev
|
| 2961 |
+
revision: None
|
| 2962 |
+
metrics:
|
| 2963 |
+
- type: map_at_1
|
| 2964 |
+
value: 44.6
|
| 2965 |
+
- type: map_at_10
|
| 2966 |
+
value: 50.019000000000005
|
| 2967 |
+
- type: map_at_100
|
| 2968 |
+
value: 50.611
|
| 2969 |
+
- type: map_at_1000
|
| 2970 |
+
value: 50.67
|
| 2971 |
+
- type: map_at_3
|
| 2972 |
+
value: 48.699999999999996
|
| 2973 |
+
- type: map_at_5
|
| 2974 |
+
value: 49.455
|
| 2975 |
+
- type: mrr_at_1
|
| 2976 |
+
value: 44.800000000000004
|
| 2977 |
+
- type: mrr_at_10
|
| 2978 |
+
value: 50.119
|
| 2979 |
+
- type: mrr_at_100
|
| 2980 |
+
value: 50.711
|
| 2981 |
+
- type: mrr_at_1000
|
| 2982 |
+
value: 50.77
|
| 2983 |
+
- type: mrr_at_3
|
| 2984 |
+
value: 48.8
|
| 2985 |
+
- type: mrr_at_5
|
| 2986 |
+
value: 49.555
|
| 2987 |
+
- type: ndcg_at_1
|
| 2988 |
+
value: 44.6
|
| 2989 |
+
- type: ndcg_at_10
|
| 2990 |
+
value: 52.754
|
| 2991 |
+
- type: ndcg_at_100
|
| 2992 |
+
value: 55.935
|
| 2993 |
+
- type: ndcg_at_1000
|
| 2994 |
+
value: 57.607
|
| 2995 |
+
- type: ndcg_at_3
|
| 2996 |
+
value: 50.012
|
| 2997 |
+
- type: ndcg_at_5
|
| 2998 |
+
value: 51.393
|
| 2999 |
+
- type: precision_at_1
|
| 3000 |
+
value: 44.6
|
| 3001 |
+
- type: precision_at_10
|
| 3002 |
+
value: 6.140000000000001
|
| 3003 |
+
- type: precision_at_100
|
| 3004 |
+
value: 0.77
|
| 3005 |
+
- type: precision_at_1000
|
| 3006 |
+
value: 0.09
|
| 3007 |
+
- type: precision_at_3
|
| 3008 |
+
value: 17.933
|
| 3009 |
+
- type: precision_at_5
|
| 3010 |
+
value: 11.44
|
| 3011 |
+
- type: recall_at_1
|
| 3012 |
+
value: 44.6
|
| 3013 |
+
- type: recall_at_10
|
| 3014 |
+
value: 61.4
|
| 3015 |
+
- type: recall_at_100
|
| 3016 |
+
value: 77.0
|
| 3017 |
+
- type: recall_at_1000
|
| 3018 |
+
value: 90.4
|
| 3019 |
+
- type: recall_at_3
|
| 3020 |
+
value: 53.800000000000004
|
| 3021 |
+
- type: recall_at_5
|
| 3022 |
+
value: 57.199999999999996
|
| 3023 |
- task:
|
| 3024 |
type: Clustering
|
| 3025 |
dataset:
|
|
|
|
| 3055 |
value: 32.59661273103955
|
| 3056 |
- type: mrr
|
| 3057 |
value: 33.82024242497473
|
| 3058 |
+
- task:
|
| 3059 |
+
type: Classification
|
| 3060 |
+
dataset:
|
| 3061 |
+
type: C-MTEB/MultilingualSentiment-classification
|
| 3062 |
+
name: MTEB MultilingualSentiment
|
| 3063 |
+
config: default
|
| 3064 |
+
split: validation
|
| 3065 |
+
revision: None
|
| 3066 |
+
metrics:
|
| 3067 |
+
- type: accuracy
|
| 3068 |
+
value: 73.31333333333335
|
| 3069 |
+
- type: f1
|
| 3070 |
+
value: 73.0873466527602
|
| 3071 |
- task:
|
| 3072 |
type: Retrieval
|
| 3073 |
dataset:
|
|
|
|
| 3206 |
value: 64.091
|
| 3207 |
- type: recall_at_5
|
| 3208 |
value: 74.063
|
| 3209 |
+
- task:
|
| 3210 |
+
type: PairClassification
|
| 3211 |
+
dataset:
|
| 3212 |
+
type: C-MTEB/OCNLI
|
| 3213 |
+
name: MTEB Ocnli
|
| 3214 |
+
config: default
|
| 3215 |
+
split: validation
|
| 3216 |
+
revision: None
|
| 3217 |
+
metrics:
|
| 3218 |
+
- type: cos_sim_accuracy
|
| 3219 |
+
value: 61.18029236599891
|
| 3220 |
+
- type: cos_sim_ap
|
| 3221 |
+
value: 64.18398769398412
|
| 3222 |
+
- type: cos_sim_f1
|
| 3223 |
+
value: 67.96347757046446
|
| 3224 |
+
- type: cos_sim_precision
|
| 3225 |
+
value: 54.4529262086514
|
| 3226 |
+
- type: cos_sim_recall
|
| 3227 |
+
value: 90.3907074973601
|
| 3228 |
+
- type: dot_accuracy
|
| 3229 |
+
value: 61.18029236599891
|
| 3230 |
+
- type: dot_ap
|
| 3231 |
+
value: 64.18393484706077
|
| 3232 |
+
- type: dot_f1
|
| 3233 |
+
value: 67.96347757046446
|
| 3234 |
+
- type: dot_precision
|
| 3235 |
+
value: 54.4529262086514
|
| 3236 |
+
- type: dot_recall
|
| 3237 |
+
value: 90.3907074973601
|
| 3238 |
+
- type: euclidean_accuracy
|
| 3239 |
+
value: 61.18029236599891
|
| 3240 |
+
- type: euclidean_ap
|
| 3241 |
+
value: 64.18395024821486
|
| 3242 |
+
- type: euclidean_f1
|
| 3243 |
+
value: 67.96347757046446
|
| 3244 |
+
- type: euclidean_precision
|
| 3245 |
+
value: 54.4529262086514
|
| 3246 |
+
- type: euclidean_recall
|
| 3247 |
+
value: 90.3907074973601
|
| 3248 |
+
- type: manhattan_accuracy
|
| 3249 |
+
value: 61.451001624255554
|
| 3250 |
+
- type: manhattan_ap
|
| 3251 |
+
value: 64.38232708763513
|
| 3252 |
+
- type: manhattan_f1
|
| 3253 |
+
value: 68.05860805860804
|
| 3254 |
+
- type: manhattan_precision
|
| 3255 |
+
value: 52.10319685922602
|
| 3256 |
+
- type: manhattan_recall
|
| 3257 |
+
value: 98.09926082365365
|
| 3258 |
+
- type: max_accuracy
|
| 3259 |
+
value: 61.451001624255554
|
| 3260 |
+
- type: max_ap
|
| 3261 |
+
value: 64.38232708763513
|
| 3262 |
+
- type: max_f1
|
| 3263 |
+
value: 68.05860805860804
|
| 3264 |
+
- task:
|
| 3265 |
+
type: Classification
|
| 3266 |
+
dataset:
|
| 3267 |
+
type: C-MTEB/OnlineShopping-classification
|
| 3268 |
+
name: MTEB OnlineShopping
|
| 3269 |
+
config: default
|
| 3270 |
+
split: test
|
| 3271 |
+
revision: None
|
| 3272 |
+
metrics:
|
| 3273 |
+
- type: accuracy
|
| 3274 |
+
value: 92.19000000000001
|
| 3275 |
+
- type: ap
|
| 3276 |
+
value: 89.73918431886767
|
| 3277 |
+
- type: f1
|
| 3278 |
+
value: 92.17175032574507
|
| 3279 |
+
- task:
|
| 3280 |
+
type: STS
|
| 3281 |
+
dataset:
|
| 3282 |
+
type: C-MTEB/PAWSX
|
| 3283 |
+
name: MTEB PAWSX
|
| 3284 |
+
config: default
|
| 3285 |
+
split: test
|
| 3286 |
+
revision: None
|
| 3287 |
+
metrics:
|
| 3288 |
+
- type: cos_sim_pearson
|
| 3289 |
+
value: 15.079320253752224
|
| 3290 |
+
- type: cos_sim_spearman
|
| 3291 |
+
value: 16.813772504404263
|
| 3292 |
+
- type: euclidean_pearson
|
| 3293 |
+
value: 19.476541162041762
|
| 3294 |
+
- type: euclidean_spearman
|
| 3295 |
+
value: 16.813772498098782
|
| 3296 |
+
- type: manhattan_pearson
|
| 3297 |
+
value: 19.497429832915277
|
| 3298 |
+
- type: manhattan_spearman
|
| 3299 |
+
value: 16.869600674180607
|
| 3300 |
+
- task:
|
| 3301 |
+
type: STS
|
| 3302 |
+
dataset:
|
| 3303 |
+
type: C-MTEB/QBQTC
|
| 3304 |
+
name: MTEB QBQTC
|
| 3305 |
+
config: default
|
| 3306 |
+
split: test
|
| 3307 |
+
revision: None
|
| 3308 |
+
metrics:
|
| 3309 |
+
- type: cos_sim_pearson
|
| 3310 |
+
value: 30.36139599797913
|
| 3311 |
+
- type: cos_sim_spearman
|
| 3312 |
+
value: 31.80296402851347
|
| 3313 |
+
- type: euclidean_pearson
|
| 3314 |
+
value: 30.10387888252793
|
| 3315 |
+
- type: euclidean_spearman
|
| 3316 |
+
value: 31.80297780103808
|
| 3317 |
+
- type: manhattan_pearson
|
| 3318 |
+
value: 30.86720382849436
|
| 3319 |
+
- type: manhattan_spearman
|
| 3320 |
+
value: 32.70491131366606
|
| 3321 |
- task:
|
| 3322 |
type: Retrieval
|
| 3323 |
dataset:
|
|
|
|
| 4213 |
value: 73.94847166379994
|
| 4214 |
- type: manhattan_spearman
|
| 4215 |
value: 84.51542547285167
|
| 4216 |
+
- task:
|
| 4217 |
+
type: STS
|
| 4218 |
+
dataset:
|
| 4219 |
+
type: C-MTEB/STSB
|
| 4220 |
+
name: MTEB STSB
|
| 4221 |
+
config: default
|
| 4222 |
+
split: test
|
| 4223 |
+
revision: None
|
| 4224 |
+
metrics:
|
| 4225 |
+
- type: cos_sim_pearson
|
| 4226 |
+
value: 81.78690149086131
|
| 4227 |
+
- type: cos_sim_spearman
|
| 4228 |
+
value: 81.81202616916873
|
| 4229 |
+
- type: euclidean_pearson
|
| 4230 |
+
value: 80.98792254251062
|
| 4231 |
+
- type: euclidean_spearman
|
| 4232 |
+
value: 81.81202616916873
|
| 4233 |
+
- type: manhattan_pearson
|
| 4234 |
+
value: 81.46953021346732
|
| 4235 |
+
- type: manhattan_spearman
|
| 4236 |
+
value: 82.34259562492315
|
| 4237 |
- task:
|
| 4238 |
type: STS
|
| 4239 |
dataset:
|
|
|
|
| 4444 |
value: 31.469083969291894
|
| 4445 |
- type: dot_spearman
|
| 4446 |
value: 31.40325730367437
|
| 4447 |
+
- task:
|
| 4448 |
+
type: Reranking
|
| 4449 |
+
dataset:
|
| 4450 |
+
type: C-MTEB/T2Reranking
|
| 4451 |
+
name: MTEB T2Reranking
|
| 4452 |
+
config: default
|
| 4453 |
+
split: dev
|
| 4454 |
+
revision: None
|
| 4455 |
+
metrics:
|
| 4456 |
+
- type: map
|
| 4457 |
+
value: 66.90300783402137
|
| 4458 |
+
- type: mrr
|
| 4459 |
+
value: 77.06451972574179
|
| 4460 |
+
- task:
|
| 4461 |
+
type: Retrieval
|
| 4462 |
+
dataset:
|
| 4463 |
+
type: C-MTEB/T2Retrieval
|
| 4464 |
+
name: MTEB T2Retrieval
|
| 4465 |
+
config: default
|
| 4466 |
+
split: dev
|
| 4467 |
+
revision: None
|
| 4468 |
+
metrics:
|
| 4469 |
+
- type: map_at_1
|
| 4470 |
+
value: 25.82
|
| 4471 |
+
- type: map_at_10
|
| 4472 |
+
value: 72.32300000000001
|
| 4473 |
+
- type: map_at_100
|
| 4474 |
+
value: 76.198
|
| 4475 |
+
- type: map_at_1000
|
| 4476 |
+
value: 76.281
|
| 4477 |
+
- type: map_at_3
|
| 4478 |
+
value: 50.719
|
| 4479 |
+
- type: map_at_5
|
| 4480 |
+
value: 62.326
|
| 4481 |
+
- type: mrr_at_1
|
| 4482 |
+
value: 86.599
|
| 4483 |
+
- type: mrr_at_10
|
| 4484 |
+
value: 89.751
|
| 4485 |
+
- type: mrr_at_100
|
| 4486 |
+
value: 89.876
|
| 4487 |
+
- type: mrr_at_1000
|
| 4488 |
+
value: 89.88000000000001
|
| 4489 |
+
- type: mrr_at_3
|
| 4490 |
+
value: 89.151
|
| 4491 |
+
- type: mrr_at_5
|
| 4492 |
+
value: 89.519
|
| 4493 |
+
- type: ndcg_at_1
|
| 4494 |
+
value: 86.599
|
| 4495 |
+
- type: ndcg_at_10
|
| 4496 |
+
value: 80.676
|
| 4497 |
+
- type: ndcg_at_100
|
| 4498 |
+
value: 85.03
|
| 4499 |
+
- type: ndcg_at_1000
|
| 4500 |
+
value: 85.854
|
| 4501 |
+
- type: ndcg_at_3
|
| 4502 |
+
value: 82.057
|
| 4503 |
+
- type: ndcg_at_5
|
| 4504 |
+
value: 80.537
|
| 4505 |
+
- type: precision_at_1
|
| 4506 |
+
value: 86.599
|
| 4507 |
+
- type: precision_at_10
|
| 4508 |
+
value: 40.373
|
| 4509 |
+
- type: precision_at_100
|
| 4510 |
+
value: 4.95
|
| 4511 |
+
- type: precision_at_1000
|
| 4512 |
+
value: 0.514
|
| 4513 |
+
- type: precision_at_3
|
| 4514 |
+
value: 71.918
|
| 4515 |
+
- type: precision_at_5
|
| 4516 |
+
value: 60.246
|
| 4517 |
+
- type: recall_at_1
|
| 4518 |
+
value: 25.82
|
| 4519 |
+
- type: recall_at_10
|
| 4520 |
+
value: 79.905
|
| 4521 |
+
- type: recall_at_100
|
| 4522 |
+
value: 93.88499999999999
|
| 4523 |
+
- type: recall_at_1000
|
| 4524 |
+
value: 98.073
|
| 4525 |
+
- type: recall_at_3
|
| 4526 |
+
value: 52.623
|
| 4527 |
+
- type: recall_at_5
|
| 4528 |
+
value: 66.233
|
| 4529 |
+
- task:
|
| 4530 |
+
type: Classification
|
| 4531 |
+
dataset:
|
| 4532 |
+
type: C-MTEB/TNews-classification
|
| 4533 |
+
name: MTEB TNews
|
| 4534 |
+
config: default
|
| 4535 |
+
split: validation
|
| 4536 |
+
revision: None
|
| 4537 |
+
metrics:
|
| 4538 |
+
- type: accuracy
|
| 4539 |
+
value: 47.050000000000004
|
| 4540 |
+
- type: f1
|
| 4541 |
+
value: 45.704071498353294
|
| 4542 |
- task:
|
| 4543 |
type: Retrieval
|
| 4544 |
dataset:
|
|
|
|
| 6512 |
value: 88.53333333333333
|
| 6513 |
- type: recall
|
| 6514 |
value: 91.9
|
| 6515 |
+
- task:
|
| 6516 |
+
type: Clustering
|
| 6517 |
+
dataset:
|
| 6518 |
+
type: C-MTEB/ThuNewsClusteringP2P
|
| 6519 |
+
name: MTEB ThuNewsClusteringP2P
|
| 6520 |
+
config: default
|
| 6521 |
+
split: test
|
| 6522 |
+
revision: None
|
| 6523 |
+
metrics:
|
| 6524 |
+
- type: v_measure
|
| 6525 |
+
value: 64.68478289806511
|
| 6526 |
+
- task:
|
| 6527 |
+
type: Clustering
|
| 6528 |
+
dataset:
|
| 6529 |
+
type: C-MTEB/ThuNewsClusteringS2S
|
| 6530 |
+
name: MTEB ThuNewsClusteringS2S
|
| 6531 |
+
config: default
|
| 6532 |
+
split: test
|
| 6533 |
+
revision: None
|
| 6534 |
+
metrics:
|
| 6535 |
+
- type: v_measure
|
| 6536 |
+
value: 57.53010296184097
|
| 6537 |
- task:
|
| 6538 |
type: Retrieval
|
| 6539 |
dataset:
|
|
|
|
| 6752 |
value: 87.78807479093082
|
| 6753 |
- type: max_f1
|
| 6754 |
value: 80.3221673073403
|
| 6755 |
+
- task:
|
| 6756 |
+
type: Retrieval
|
| 6757 |
+
dataset:
|
| 6758 |
+
type: C-MTEB/VideoRetrieval
|
| 6759 |
+
name: MTEB VideoRetrieval
|
| 6760 |
+
config: default
|
| 6761 |
+
split: dev
|
| 6762 |
+
revision: None
|
| 6763 |
+
metrics:
|
| 6764 |
+
- type: map_at_1
|
| 6765 |
+
value: 32.4
|
| 6766 |
+
- type: map_at_10
|
| 6767 |
+
value: 40.961999999999996
|
| 6768 |
+
- type: map_at_100
|
| 6769 |
+
value: 41.660000000000004
|
| 6770 |
+
- type: map_at_1000
|
| 6771 |
+
value: 41.721000000000004
|
| 6772 |
+
- type: map_at_3
|
| 6773 |
+
value: 38.550000000000004
|
| 6774 |
+
- type: map_at_5
|
| 6775 |
+
value: 40.06
|
| 6776 |
+
- type: mrr_at_1
|
| 6777 |
+
value: 32.4
|
| 6778 |
+
- type: mrr_at_10
|
| 6779 |
+
value: 40.961999999999996
|
| 6780 |
+
- type: mrr_at_100
|
| 6781 |
+
value: 41.660000000000004
|
| 6782 |
+
- type: mrr_at_1000
|
| 6783 |
+
value: 41.721000000000004
|
| 6784 |
+
- type: mrr_at_3
|
| 6785 |
+
value: 38.550000000000004
|
| 6786 |
+
- type: mrr_at_5
|
| 6787 |
+
value: 40.06
|
| 6788 |
+
- type: ndcg_at_1
|
| 6789 |
+
value: 32.4
|
| 6790 |
+
- type: ndcg_at_10
|
| 6791 |
+
value: 45.388
|
| 6792 |
+
- type: ndcg_at_100
|
| 6793 |
+
value: 49.012
|
| 6794 |
+
- type: ndcg_at_1000
|
| 6795 |
+
value: 50.659
|
| 6796 |
+
- type: ndcg_at_3
|
| 6797 |
+
value: 40.47
|
| 6798 |
+
- type: ndcg_at_5
|
| 6799 |
+
value: 43.232
|
| 6800 |
+
- type: precision_at_1
|
| 6801 |
+
value: 32.4
|
| 6802 |
+
- type: precision_at_10
|
| 6803 |
+
value: 5.94
|
| 6804 |
+
- type: precision_at_100
|
| 6805 |
+
value: 0.769
|
| 6806 |
+
- type: precision_at_1000
|
| 6807 |
+
value: 0.09
|
| 6808 |
+
- type: precision_at_3
|
| 6809 |
+
value: 15.333
|
| 6810 |
+
- type: precision_at_5
|
| 6811 |
+
value: 10.56
|
| 6812 |
+
- type: recall_at_1
|
| 6813 |
+
value: 32.4
|
| 6814 |
+
- type: recall_at_10
|
| 6815 |
+
value: 59.4
|
| 6816 |
+
- type: recall_at_100
|
| 6817 |
+
value: 76.9
|
| 6818 |
+
- type: recall_at_1000
|
| 6819 |
+
value: 90.0
|
| 6820 |
+
- type: recall_at_3
|
| 6821 |
+
value: 46.0
|
| 6822 |
+
- type: recall_at_5
|
| 6823 |
+
value: 52.800000000000004
|
| 6824 |
+
- task:
|
| 6825 |
+
type: Classification
|
| 6826 |
+
dataset:
|
| 6827 |
+
type: C-MTEB/waimai-classification
|
| 6828 |
+
name: MTEB Waimai
|
| 6829 |
+
config: default
|
| 6830 |
+
split: test
|
| 6831 |
+
revision: None
|
| 6832 |
+
metrics:
|
| 6833 |
+
- type: accuracy
|
| 6834 |
+
value: 86.94000000000001
|
| 6835 |
+
- type: ap
|
| 6836 |
+
value: 70.57373468481975
|
| 6837 |
+
- type: f1
|
| 6838 |
+
value: 85.26264784928323
|
| 6839 |
language:
|
| 6840 |
- en
|
| 6841 |
license: mit
|
|
|
|
| 6954 |
Using this model for inputs longer than 4096 tokens is not recommended.
|
| 6955 |
|
| 6956 |
This model's multilingual capability is still inferior to [multilingual-e5-large](https://huggingface.co/intfloat/multilingual-e5-large) for some cases.
|
| 6957 |
+
|