Update README.md
Browse files
README.md
CHANGED
@@ -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:
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@@ -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.
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- type: cos_sim_spearman
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2852 |
-
value:
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- type: euclidean_pearson
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2854 |
-
value:
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- type: euclidean_spearman
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-
value:
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- type: manhattan_pearson
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2858 |
-
value:
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- type: manhattan_spearman
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-
value:
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- task:
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type: STS
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dataset:
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@@ -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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2871 |
-
value: 67.
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|
2872 |
- type: cos_sim_spearman
|
2873 |
-
value:
|
2874 |
- type: euclidean_pearson
|
2875 |
-
value:
|
2876 |
- type: euclidean_spearman
|
2877 |
-
value:
|
2878 |
- type: manhattan_pearson
|
2879 |
-
value:
|
2880 |
- type: manhattan_spearman
|
2881 |
-
value:
|
2882 |
- task:
|
2883 |
type: STS
|
2884 |
dataset:
|
@@ -5381,4 +5948,4 @@ Different versions of `transformers` and `pytorch` could cause negligible but no
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|
5382 |
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
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|
2837 |
value: 86.83702628983627
|
2838 |
- type: manhattan_spearman
|
2839 |
value: 87.87791000374443
|
2840 |
+
- task:
|
2841 |
+
type: STS
|
2842 |
+
dataset:
|
2843 |
+
type: mteb/sts17-crosslingual-sts
|
2844 |
+
name: MTEB STS17 (ko-ko)
|
2845 |
+
config: ko-ko
|
2846 |
+
split: test
|
2847 |
+
revision: af5e6fb845001ecf41f4c1e033ce921939a2a68d
|
2848 |
+
metrics:
|
2849 |
+
- type: cos_sim_pearson
|
2850 |
+
value: 83.86395454805867
|
2851 |
+
- type: cos_sim_spearman
|
2852 |
+
value: 83.69454595252267
|
2853 |
+
- type: euclidean_pearson
|
2854 |
+
value: 83.04743892608313
|
2855 |
+
- type: euclidean_spearman
|
2856 |
+
value: 83.69454026433006
|
2857 |
+
- type: manhattan_pearson
|
2858 |
+
value: 83.4032095553322
|
2859 |
+
- type: manhattan_spearman
|
2860 |
+
value: 84.11527379013802
|
2861 |
+
- task:
|
2862 |
+
type: STS
|
2863 |
+
dataset:
|
2864 |
+
type: mteb/sts17-crosslingual-sts
|
2865 |
+
name: MTEB STS17 (ar-ar)
|
2866 |
+
config: ar-ar
|
2867 |
+
split: test
|
2868 |
+
revision: af5e6fb845001ecf41f4c1e033ce921939a2a68d
|
2869 |
+
metrics:
|
2870 |
+
- type: cos_sim_pearson
|
2871 |
+
value: 81.80249894729546
|
2872 |
+
- type: cos_sim_spearman
|
2873 |
+
value: 81.87004960533409
|
2874 |
+
- type: euclidean_pearson
|
2875 |
+
value: 80.0392760044179
|
2876 |
+
- type: euclidean_spearman
|
2877 |
+
value: 81.87004960533409
|
2878 |
+
- type: manhattan_pearson
|
2879 |
+
value: 80.38096542355912
|
2880 |
+
- type: manhattan_spearman
|
2881 |
+
value: 82.40774679630341
|
2882 |
+
- task:
|
2883 |
+
type: STS
|
2884 |
+
dataset:
|
2885 |
+
type: mteb/sts17-crosslingual-sts
|
2886 |
+
name: MTEB STS17 (en-ar)
|
2887 |
+
config: en-ar
|
2888 |
+
split: test
|
2889 |
+
revision: af5e6fb845001ecf41f4c1e033ce921939a2a68d
|
2890 |
+
metrics:
|
2891 |
+
- type: cos_sim_pearson
|
2892 |
+
value: 77.6158201787172
|
2893 |
+
- type: cos_sim_spearman
|
2894 |
+
value: 77.934651044009
|
2895 |
+
- type: euclidean_pearson
|
2896 |
+
value: 77.7874683895269
|
2897 |
+
- type: euclidean_spearman
|
2898 |
+
value: 77.934651044009
|
2899 |
+
- type: manhattan_pearson
|
2900 |
+
value: 78.36151849193052
|
2901 |
+
- type: manhattan_spearman
|
2902 |
+
value: 78.52439586349938
|
2903 |
+
- task:
|
2904 |
+
type: STS
|
2905 |
+
dataset:
|
2906 |
+
type: mteb/sts17-crosslingual-sts
|
2907 |
+
name: MTEB STS17 (en-de)
|
2908 |
+
config: en-de
|
2909 |
+
split: test
|
2910 |
+
revision: af5e6fb845001ecf41f4c1e033ce921939a2a68d
|
2911 |
+
metrics:
|
2912 |
+
- type: cos_sim_pearson
|
2913 |
+
value: 87.04363311392207
|
2914 |
+
- type: cos_sim_spearman
|
2915 |
+
value: 87.30483659369973
|
2916 |
+
- type: euclidean_pearson
|
2917 |
+
value: 87.62634489502616
|
2918 |
+
- type: euclidean_spearman
|
2919 |
+
value: 87.30483659369973
|
2920 |
+
- type: manhattan_pearson
|
2921 |
+
value: 88.02340837141445
|
2922 |
+
- type: manhattan_spearman
|
2923 |
+
value: 87.55012003294
|
2924 |
- task:
|
2925 |
type: STS
|
2926 |
dataset:
|
|
|
2931 |
revision: af5e6fb845001ecf41f4c1e033ce921939a2a68d
|
2932 |
metrics:
|
2933 |
- type: cos_sim_pearson
|
2934 |
+
value: 91.69172851958248
|
2935 |
+
- type: cos_sim_spearman
|
2936 |
+
value: 91.7546879482416
|
2937 |
+
- type: euclidean_pearson
|
2938 |
+
value: 91.84843039183963
|
2939 |
+
- type: euclidean_spearman
|
2940 |
+
value: 91.7546879482416
|
2941 |
+
- type: manhattan_pearson
|
2942 |
+
value: 91.72325753804357
|
2943 |
+
- type: manhattan_spearman
|
2944 |
+
value: 91.55330259513397
|
2945 |
+
- task:
|
2946 |
+
type: STS
|
2947 |
+
dataset:
|
2948 |
+
type: mteb/sts17-crosslingual-sts
|
2949 |
+
name: MTEB STS17 (en-tr)
|
2950 |
+
config: en-tr
|
2951 |
+
split: test
|
2952 |
+
revision: af5e6fb845001ecf41f4c1e033ce921939a2a68d
|
2953 |
+
metrics:
|
2954 |
+
- type: cos_sim_pearson
|
2955 |
+
value: 73.95572901084864
|
2956 |
+
- type: cos_sim_spearman
|
2957 |
+
value: 72.56217821552626
|
2958 |
+
- type: euclidean_pearson
|
2959 |
+
value: 74.24242980323574
|
2960 |
+
- type: euclidean_spearman
|
2961 |
+
value: 72.56217821552626
|
2962 |
+
- type: manhattan_pearson
|
2963 |
+
value: 74.57473362519922
|
2964 |
+
- type: manhattan_spearman
|
2965 |
+
value: 72.76048826648497
|
2966 |
+
- task:
|
2967 |
+
type: STS
|
2968 |
+
dataset:
|
2969 |
+
type: mteb/sts17-crosslingual-sts
|
2970 |
+
name: MTEB STS17 (es-en)
|
2971 |
+
config: es-en
|
2972 |
+
split: test
|
2973 |
+
revision: af5e6fb845001ecf41f4c1e033ce921939a2a68d
|
2974 |
+
metrics:
|
2975 |
+
- type: cos_sim_pearson
|
2976 |
+
value: 86.93329396008296
|
2977 |
+
- type: cos_sim_spearman
|
2978 |
+
value: 88.2406635486219
|
2979 |
+
- type: euclidean_pearson
|
2980 |
+
value: 87.49687343908533
|
2981 |
+
- type: euclidean_spearman
|
2982 |
+
value: 88.2406635486219
|
2983 |
+
- type: manhattan_pearson
|
2984 |
+
value: 88.14088309231084
|
2985 |
+
- type: manhattan_spearman
|
2986 |
+
value: 88.93314020908534
|
2987 |
+
- task:
|
2988 |
+
type: STS
|
2989 |
+
dataset:
|
2990 |
+
type: mteb/sts17-crosslingual-sts
|
2991 |
+
name: MTEB STS17 (es-es)
|
2992 |
+
config: es-es
|
2993 |
+
split: test
|
2994 |
+
revision: af5e6fb845001ecf41f4c1e033ce921939a2a68d
|
2995 |
+
metrics:
|
2996 |
+
- type: cos_sim_pearson
|
2997 |
+
value: 88.70124451546057
|
2998 |
- type: cos_sim_spearman
|
2999 |
+
value: 87.45988160052252
|
3000 |
- type: euclidean_pearson
|
3001 |
+
value: 88.44395505247728
|
3002 |
- type: euclidean_spearman
|
3003 |
+
value: 87.45988160052252
|
3004 |
- type: manhattan_pearson
|
3005 |
+
value: 88.69269783495425
|
3006 |
- type: manhattan_spearman
|
3007 |
+
value: 87.65383425621
|
3008 |
+
- task:
|
3009 |
+
type: STS
|
3010 |
+
dataset:
|
3011 |
+
type: mteb/sts17-crosslingual-sts
|
3012 |
+
name: MTEB STS17 (fr-en)
|
3013 |
+
config: fr-en
|
3014 |
+
split: test
|
3015 |
+
revision: af5e6fb845001ecf41f4c1e033ce921939a2a68d
|
3016 |
+
metrics:
|
3017 |
+
- type: cos_sim_pearson
|
3018 |
+
value: 87.64109149761346
|
3019 |
+
- type: cos_sim_spearman
|
3020 |
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dataset:
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dataset:
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dataset:
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dataset:
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dataset:
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dataset:
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dataset:
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dataset:
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metrics:
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dataset:
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dataset:
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dataset:
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|
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.
|