vatolinalex
commited on
Add RuMTEB evaluation scores for most english top MTEB models (#76)
Browse filesThis view is limited to 50 files because it contains too many changes.
See raw diff
- results/Alibaba-NLP__gte-Qwen1.5-7B-instruct/07d27e5226328010336563bc1b564a5e3436a298/CEDRClassification.json +73 -0
- results/Alibaba-NLP__gte-Qwen1.5-7B-instruct/07d27e5226328010336563bc1b564a5e3436a298/GeoreviewClassification.json +73 -0
- results/Alibaba-NLP__gte-Qwen1.5-7B-instruct/07d27e5226328010336563bc1b564a5e3436a298/GeoreviewClusteringP2P.json +34 -0
- results/Alibaba-NLP__gte-Qwen1.5-7B-instruct/07d27e5226328010336563bc1b564a5e3436a298/HeadlineClassification.json +73 -0
- results/Alibaba-NLP__gte-Qwen1.5-7B-instruct/07d27e5226328010336563bc1b564a5e3436a298/InappropriatenessClassification.json +95 -0
- results/Alibaba-NLP__gte-Qwen1.5-7B-instruct/07d27e5226328010336563bc1b564a5e3436a298/KinopoiskClassification.json +73 -0
- results/Alibaba-NLP__gte-Qwen1.5-7B-instruct/07d27e5226328010336563bc1b564a5e3436a298/MIRACLReranking.json +130 -0
- results/Alibaba-NLP__gte-Qwen1.5-7B-instruct/07d27e5226328010336563bc1b564a5e3436a298/MassiveIntentClassification.json +137 -0
- results/Alibaba-NLP__gte-Qwen1.5-7B-instruct/07d27e5226328010336563bc1b564a5e3436a298/MassiveScenarioClassification.json +137 -0
- results/Alibaba-NLP__gte-Qwen1.5-7B-instruct/07d27e5226328010336563bc1b564a5e3436a298/RUParaPhraserSTS.json +26 -0
- results/Alibaba-NLP__gte-Qwen1.5-7B-instruct/07d27e5226328010336563bc1b564a5e3436a298/RiaNewsRetrieval.json +158 -0
- results/Alibaba-NLP__gte-Qwen1.5-7B-instruct/07d27e5226328010336563bc1b564a5e3436a298/RuBQReranking.json +26 -0
- results/Alibaba-NLP__gte-Qwen1.5-7B-instruct/07d27e5226328010336563bc1b564a5e3436a298/RuBQRetrieval.json +158 -0
- results/Alibaba-NLP__gte-Qwen1.5-7B-instruct/07d27e5226328010336563bc1b564a5e3436a298/RuReviewsClassification.json +73 -0
- results/Alibaba-NLP__gte-Qwen1.5-7B-instruct/07d27e5226328010336563bc1b564a5e3436a298/RuSTSBenchmarkSTS.json +26 -0
- results/Alibaba-NLP__gte-Qwen1.5-7B-instruct/07d27e5226328010336563bc1b564a5e3436a298/RuSciBenchGRNTIClassification.json +73 -0
- results/Alibaba-NLP__gte-Qwen1.5-7B-instruct/07d27e5226328010336563bc1b564a5e3436a298/RuSciBenchGRNTIClusteringP2P.json +34 -0
- results/Alibaba-NLP__gte-Qwen1.5-7B-instruct/07d27e5226328010336563bc1b564a5e3436a298/RuSciBenchOECDClassification.json +73 -0
- results/Alibaba-NLP__gte-Qwen1.5-7B-instruct/07d27e5226328010336563bc1b564a5e3436a298/RuSciBenchOECDClusteringP2P.json +34 -0
- results/Alibaba-NLP__gte-Qwen1.5-7B-instruct/07d27e5226328010336563bc1b564a5e3436a298/STS22.json +26 -0
- results/Alibaba-NLP__gte-Qwen1.5-7B-instruct/07d27e5226328010336563bc1b564a5e3436a298/SensitiveTopicsClassification.json +73 -0
- results/Alibaba-NLP__gte-Qwen1.5-7B-instruct/07d27e5226328010336563bc1b564a5e3436a298/TERRa.json +58 -0
- results/Alibaba-NLP__gte-Qwen1.5-7B-instruct/07d27e5226328010336563bc1b564a5e3436a298/model_meta.json +1 -0
- results/Alibaba-NLP__gte-Qwen2-1.5B-instruct/c6c1b92f4a3e1b92b326ad29dd3c8433457df8dd/CEDRClassification.json +73 -0
- results/Alibaba-NLP__gte-Qwen2-1.5B-instruct/c6c1b92f4a3e1b92b326ad29dd3c8433457df8dd/GeoreviewClassification.json +73 -0
- results/Alibaba-NLP__gte-Qwen2-1.5B-instruct/c6c1b92f4a3e1b92b326ad29dd3c8433457df8dd/GeoreviewClusteringP2P.json +34 -0
- results/Alibaba-NLP__gte-Qwen2-1.5B-instruct/c6c1b92f4a3e1b92b326ad29dd3c8433457df8dd/HeadlineClassification.json +73 -0
- results/Alibaba-NLP__gte-Qwen2-1.5B-instruct/c6c1b92f4a3e1b92b326ad29dd3c8433457df8dd/InappropriatenessClassification.json +95 -0
- results/Alibaba-NLP__gte-Qwen2-1.5B-instruct/c6c1b92f4a3e1b92b326ad29dd3c8433457df8dd/KinopoiskClassification.json +73 -0
- results/Alibaba-NLP__gte-Qwen2-1.5B-instruct/c6c1b92f4a3e1b92b326ad29dd3c8433457df8dd/MIRACLReranking.json +130 -0
- results/Alibaba-NLP__gte-Qwen2-1.5B-instruct/c6c1b92f4a3e1b92b326ad29dd3c8433457df8dd/MassiveIntentClassification.json +137 -0
- results/Alibaba-NLP__gte-Qwen2-1.5B-instruct/c6c1b92f4a3e1b92b326ad29dd3c8433457df8dd/MassiveScenarioClassification.json +137 -0
- results/Alibaba-NLP__gte-Qwen2-1.5B-instruct/c6c1b92f4a3e1b92b326ad29dd3c8433457df8dd/RUParaPhraserSTS.json +26 -0
- results/Alibaba-NLP__gte-Qwen2-1.5B-instruct/c6c1b92f4a3e1b92b326ad29dd3c8433457df8dd/RiaNewsRetrieval.json +158 -0
- results/Alibaba-NLP__gte-Qwen2-1.5B-instruct/c6c1b92f4a3e1b92b326ad29dd3c8433457df8dd/RuBQReranking.json +26 -0
- results/Alibaba-NLP__gte-Qwen2-1.5B-instruct/c6c1b92f4a3e1b92b326ad29dd3c8433457df8dd/RuBQRetrieval.json +158 -0
- results/Alibaba-NLP__gte-Qwen2-1.5B-instruct/c6c1b92f4a3e1b92b326ad29dd3c8433457df8dd/RuReviewsClassification.json +73 -0
- results/Alibaba-NLP__gte-Qwen2-1.5B-instruct/c6c1b92f4a3e1b92b326ad29dd3c8433457df8dd/RuSTSBenchmarkSTS.json +26 -0
- results/Alibaba-NLP__gte-Qwen2-1.5B-instruct/c6c1b92f4a3e1b92b326ad29dd3c8433457df8dd/RuSciBenchGRNTIClassification.json +73 -0
- results/Alibaba-NLP__gte-Qwen2-1.5B-instruct/c6c1b92f4a3e1b92b326ad29dd3c8433457df8dd/RuSciBenchGRNTIClusteringP2P.json +34 -0
- results/Alibaba-NLP__gte-Qwen2-1.5B-instruct/c6c1b92f4a3e1b92b326ad29dd3c8433457df8dd/RuSciBenchOECDClassification.json +73 -0
- results/Alibaba-NLP__gte-Qwen2-1.5B-instruct/c6c1b92f4a3e1b92b326ad29dd3c8433457df8dd/RuSciBenchOECDClusteringP2P.json +34 -0
- results/Alibaba-NLP__gte-Qwen2-1.5B-instruct/c6c1b92f4a3e1b92b326ad29dd3c8433457df8dd/STS22.json +26 -0
- results/Alibaba-NLP__gte-Qwen2-1.5B-instruct/c6c1b92f4a3e1b92b326ad29dd3c8433457df8dd/SensitiveTopicsClassification.json +73 -0
- results/Alibaba-NLP__gte-Qwen2-1.5B-instruct/c6c1b92f4a3e1b92b326ad29dd3c8433457df8dd/TERRa.json +58 -0
- results/Alibaba-NLP__gte-Qwen2-1.5B-instruct/c6c1b92f4a3e1b92b326ad29dd3c8433457df8dd/model_meta.json +1 -0
- results/Alibaba-NLP__gte-Qwen2-7B-instruct/e26182b2122f4435e8b3ebecbf363990f409b45b/CEDRClassification.json +34 -34
- results/Alibaba-NLP__gte-Qwen2-7B-instruct/e26182b2122f4435e8b3ebecbf363990f409b45b/GeoreviewClassification.json +73 -0
- results/Alibaba-NLP__gte-Qwen2-7B-instruct/e26182b2122f4435e8b3ebecbf363990f409b45b/GeoreviewClusteringP2P.json +34 -0
- results/Alibaba-NLP__gte-Qwen2-7B-instruct/e26182b2122f4435e8b3ebecbf363990f409b45b/HeadlineClassification.json +73 -0
results/Alibaba-NLP__gte-Qwen1.5-7B-instruct/07d27e5226328010336563bc1b564a5e3436a298/CEDRClassification.json
ADDED
@@ -0,0 +1,73 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"dataset_revision": "c0ba03d058e3e1b2f3fd20518875a4563dd12db4",
|
3 |
+
"evaluation_time": 49.17470383644104,
|
4 |
+
"kg_co2_emissions": null,
|
5 |
+
"mteb_version": "1.19.2",
|
6 |
+
"scores": {
|
7 |
+
"test": [
|
8 |
+
{
|
9 |
+
"accuracy": 0.5477151965993624,
|
10 |
+
"f1": 0.6036500719599494,
|
11 |
+
"hf_subset": "default",
|
12 |
+
"languages": [
|
13 |
+
"rus-Cyrl"
|
14 |
+
],
|
15 |
+
"lrap": 0.8649468650371996,
|
16 |
+
"main_score": 0.5477151965993624,
|
17 |
+
"scores_per_experiment": [
|
18 |
+
{
|
19 |
+
"accuracy": 0.5451647183846972,
|
20 |
+
"f1": 0.5850362532892082,
|
21 |
+
"lrap": 0.8438363443145652
|
22 |
+
},
|
23 |
+
{
|
24 |
+
"accuracy": 0.628586609989373,
|
25 |
+
"f1": 0.6422497078024308,
|
26 |
+
"lrap": 0.8565887353878912
|
27 |
+
},
|
28 |
+
{
|
29 |
+
"accuracy": 0.5371944739638682,
|
30 |
+
"f1": 0.602381004950392,
|
31 |
+
"lrap": 0.8797555791710995
|
32 |
+
},
|
33 |
+
{
|
34 |
+
"accuracy": 0.5143464399574921,
|
35 |
+
"f1": 0.5742093596923625,
|
36 |
+
"lrap": 0.8505844845908667
|
37 |
+
},
|
38 |
+
{
|
39 |
+
"accuracy": 0.5446333687566419,
|
40 |
+
"f1": 0.6001832009513983,
|
41 |
+
"lrap": 0.8803400637619601
|
42 |
+
},
|
43 |
+
{
|
44 |
+
"accuracy": 0.5712008501594049,
|
45 |
+
"f1": 0.6201225698955309,
|
46 |
+
"lrap": 0.8817215727949038
|
47 |
+
},
|
48 |
+
{
|
49 |
+
"accuracy": 0.502125398512221,
|
50 |
+
"f1": 0.5781829471349942,
|
51 |
+
"lrap": 0.8520191285866153
|
52 |
+
},
|
53 |
+
{
|
54 |
+
"accuracy": 0.5371944739638682,
|
55 |
+
"f1": 0.6032409719825884,
|
56 |
+
"lrap": 0.8667375132837453
|
57 |
+
},
|
58 |
+
{
|
59 |
+
"accuracy": 0.5749202975557917,
|
60 |
+
"f1": 0.622622514090637,
|
61 |
+
"lrap": 0.8739107332624917
|
62 |
+
},
|
63 |
+
{
|
64 |
+
"accuracy": 0.5217853347502657,
|
65 |
+
"f1": 0.6082721898099509,
|
66 |
+
"lrap": 0.8639744952178583
|
67 |
+
}
|
68 |
+
]
|
69 |
+
}
|
70 |
+
]
|
71 |
+
},
|
72 |
+
"task_name": "CEDRClassification"
|
73 |
+
}
|
results/Alibaba-NLP__gte-Qwen1.5-7B-instruct/07d27e5226328010336563bc1b564a5e3436a298/GeoreviewClassification.json
ADDED
@@ -0,0 +1,73 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"dataset_revision": "3765c0d1de6b7d264bc459433c45e5a75513839c",
|
3 |
+
"evaluation_time": 70.92497396469116,
|
4 |
+
"kg_co2_emissions": null,
|
5 |
+
"mteb_version": "1.19.2",
|
6 |
+
"scores": {
|
7 |
+
"test": [
|
8 |
+
{
|
9 |
+
"accuracy": 0.593115234375,
|
10 |
+
"f1": 0.5654370923929647,
|
11 |
+
"f1_weighted": 0.565366043274544,
|
12 |
+
"hf_subset": "default",
|
13 |
+
"languages": [
|
14 |
+
"rus-Cyrl"
|
15 |
+
],
|
16 |
+
"main_score": 0.593115234375,
|
17 |
+
"scores_per_experiment": [
|
18 |
+
{
|
19 |
+
"accuracy": 0.57275390625,
|
20 |
+
"f1": 0.5311404233477083,
|
21 |
+
"f1_weighted": 0.5310401242904998
|
22 |
+
},
|
23 |
+
{
|
24 |
+
"accuracy": 0.5693359375,
|
25 |
+
"f1": 0.5233095126267937,
|
26 |
+
"f1_weighted": 0.5231911107096815
|
27 |
+
},
|
28 |
+
{
|
29 |
+
"accuracy": 0.59619140625,
|
30 |
+
"f1": 0.5690305785888471,
|
31 |
+
"f1_weighted": 0.5689581598276597
|
32 |
+
},
|
33 |
+
{
|
34 |
+
"accuracy": 0.60595703125,
|
35 |
+
"f1": 0.5901413093480931,
|
36 |
+
"f1_weighted": 0.590105109669658
|
37 |
+
},
|
38 |
+
{
|
39 |
+
"accuracy": 0.6025390625,
|
40 |
+
"f1": 0.5729259523761623,
|
41 |
+
"f1_weighted": 0.5728395007156636
|
42 |
+
},
|
43 |
+
{
|
44 |
+
"accuracy": 0.5947265625,
|
45 |
+
"f1": 0.5692650108462612,
|
46 |
+
"f1_weighted": 0.569206137591517
|
47 |
+
},
|
48 |
+
{
|
49 |
+
"accuracy": 0.60693359375,
|
50 |
+
"f1": 0.5888821876084315,
|
51 |
+
"f1_weighted": 0.5888208744862033
|
52 |
+
},
|
53 |
+
{
|
54 |
+
"accuracy": 0.58935546875,
|
55 |
+
"f1": 0.55793654500316,
|
56 |
+
"f1_weighted": 0.5578614223389805
|
57 |
+
},
|
58 |
+
{
|
59 |
+
"accuracy": 0.60302734375,
|
60 |
+
"f1": 0.5833953830631733,
|
61 |
+
"f1_weighted": 0.5833356693161511
|
62 |
+
},
|
63 |
+
{
|
64 |
+
"accuracy": 0.59033203125,
|
65 |
+
"f1": 0.5683440211210167,
|
66 |
+
"f1_weighted": 0.5683023237994256
|
67 |
+
}
|
68 |
+
]
|
69 |
+
}
|
70 |
+
]
|
71 |
+
},
|
72 |
+
"task_name": "GeoreviewClassification"
|
73 |
+
}
|
results/Alibaba-NLP__gte-Qwen1.5-7B-instruct/07d27e5226328010336563bc1b564a5e3436a298/GeoreviewClusteringP2P.json
ADDED
@@ -0,0 +1,34 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"dataset_revision": "97a313c8fc85b47f13f33e7e9a95c1ad888c7fec",
|
3 |
+
"evaluation_time": 106.16331720352173,
|
4 |
+
"kg_co2_emissions": null,
|
5 |
+
"mteb_version": "1.19.2",
|
6 |
+
"scores": {
|
7 |
+
"test": [
|
8 |
+
{
|
9 |
+
"hf_subset": "default",
|
10 |
+
"languages": [
|
11 |
+
"rus-Cyrl"
|
12 |
+
],
|
13 |
+
"main_score": 0.7490333015485914,
|
14 |
+
"v_measure": 0.7490333015485914,
|
15 |
+
"v_measure_std": 0.0034579399932174047,
|
16 |
+
"v_measures": {
|
17 |
+
"Level 0": [
|
18 |
+
0.752744253546754,
|
19 |
+
0.7440034439559667,
|
20 |
+
0.7466405375270816,
|
21 |
+
0.7504486865332559,
|
22 |
+
0.74656634640751,
|
23 |
+
0.750591472356923,
|
24 |
+
0.7485759760938262,
|
25 |
+
0.7532063350425257,
|
26 |
+
0.7439558077953369,
|
27 |
+
0.7536001562267337
|
28 |
+
]
|
29 |
+
}
|
30 |
+
}
|
31 |
+
]
|
32 |
+
},
|
33 |
+
"task_name": "GeoreviewClusteringP2P"
|
34 |
+
}
|
results/Alibaba-NLP__gte-Qwen1.5-7B-instruct/07d27e5226328010336563bc1b564a5e3436a298/HeadlineClassification.json
ADDED
@@ -0,0 +1,73 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"dataset_revision": "2fe05ee6b5832cda29f2ef7aaad7b7fe6a3609eb",
|
3 |
+
"evaluation_time": 41.733545541763306,
|
4 |
+
"kg_co2_emissions": null,
|
5 |
+
"mteb_version": "1.19.2",
|
6 |
+
"scores": {
|
7 |
+
"test": [
|
8 |
+
{
|
9 |
+
"accuracy": 0.823193359375,
|
10 |
+
"f1": 0.8239465084764503,
|
11 |
+
"f1_weighted": 0.8239283463460406,
|
12 |
+
"hf_subset": "default",
|
13 |
+
"languages": [
|
14 |
+
"rus-Cyrl"
|
15 |
+
],
|
16 |
+
"main_score": 0.823193359375,
|
17 |
+
"scores_per_experiment": [
|
18 |
+
{
|
19 |
+
"accuracy": 0.80712890625,
|
20 |
+
"f1": 0.8089034546914284,
|
21 |
+
"f1_weighted": 0.8088769259452948
|
22 |
+
},
|
23 |
+
{
|
24 |
+
"accuracy": 0.8349609375,
|
25 |
+
"f1": 0.8357485899262026,
|
26 |
+
"f1_weighted": 0.8357459144685893
|
27 |
+
},
|
28 |
+
{
|
29 |
+
"accuracy": 0.81591796875,
|
30 |
+
"f1": 0.8175058255173461,
|
31 |
+
"f1_weighted": 0.8174854105287481
|
32 |
+
},
|
33 |
+
{
|
34 |
+
"accuracy": 0.81640625,
|
35 |
+
"f1": 0.8184209189049058,
|
36 |
+
"f1_weighted": 0.8184018752116653
|
37 |
+
},
|
38 |
+
{
|
39 |
+
"accuracy": 0.81494140625,
|
40 |
+
"f1": 0.816025755172741,
|
41 |
+
"f1_weighted": 0.8160000608774359
|
42 |
+
},
|
43 |
+
{
|
44 |
+
"accuracy": 0.8369140625,
|
45 |
+
"f1": 0.8376501552762083,
|
46 |
+
"f1_weighted": 0.8376405057751175
|
47 |
+
},
|
48 |
+
{
|
49 |
+
"accuracy": 0.82080078125,
|
50 |
+
"f1": 0.8200892484658041,
|
51 |
+
"f1_weighted": 0.8200637301606719
|
52 |
+
},
|
53 |
+
{
|
54 |
+
"accuracy": 0.814453125,
|
55 |
+
"f1": 0.8152234211475688,
|
56 |
+
"f1_weighted": 0.8151917129263095
|
57 |
+
},
|
58 |
+
{
|
59 |
+
"accuracy": 0.82958984375,
|
60 |
+
"f1": 0.8291598309049161,
|
61 |
+
"f1_weighted": 0.8291522960195152
|
62 |
+
},
|
63 |
+
{
|
64 |
+
"accuracy": 0.8408203125,
|
65 |
+
"f1": 0.840737884757382,
|
66 |
+
"f1_weighted": 0.84072503154706
|
67 |
+
}
|
68 |
+
]
|
69 |
+
}
|
70 |
+
]
|
71 |
+
},
|
72 |
+
"task_name": "HeadlineClassification"
|
73 |
+
}
|
results/Alibaba-NLP__gte-Qwen1.5-7B-instruct/07d27e5226328010336563bc1b564a5e3436a298/InappropriatenessClassification.json
ADDED
@@ -0,0 +1,95 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"dataset_revision": "601651fdc45ef243751676e62dd7a19f491c0285",
|
3 |
+
"evaluation_time": 37.14429306983948,
|
4 |
+
"kg_co2_emissions": null,
|
5 |
+
"mteb_version": "1.19.2",
|
6 |
+
"scores": {
|
7 |
+
"test": [
|
8 |
+
{
|
9 |
+
"accuracy": 0.732568359375,
|
10 |
+
"ap": 0.6710765411408649,
|
11 |
+
"ap_weighted": 0.6710765411408649,
|
12 |
+
"f1": 0.730367241384523,
|
13 |
+
"f1_weighted": 0.730367241384523,
|
14 |
+
"hf_subset": "default",
|
15 |
+
"languages": [
|
16 |
+
"rus-Cyrl"
|
17 |
+
],
|
18 |
+
"main_score": 0.732568359375,
|
19 |
+
"scores_per_experiment": [
|
20 |
+
{
|
21 |
+
"accuracy": 0.73291015625,
|
22 |
+
"ap": 0.678244924916574,
|
23 |
+
"ap_weighted": 0.678244924916574,
|
24 |
+
"f1": 0.7319114485702299,
|
25 |
+
"f1_weighted": 0.7319114485702299
|
26 |
+
},
|
27 |
+
{
|
28 |
+
"accuracy": 0.7568359375,
|
29 |
+
"ap": 0.696101186748497,
|
30 |
+
"ap_weighted": 0.696101186748497,
|
31 |
+
"f1": 0.7567967401972707,
|
32 |
+
"f1_weighted": 0.7567967401972707
|
33 |
+
},
|
34 |
+
{
|
35 |
+
"accuracy": 0.75341796875,
|
36 |
+
"ap": 0.6911183505754163,
|
37 |
+
"ap_weighted": 0.6911183505754163,
|
38 |
+
"f1": 0.753417439641227,
|
39 |
+
"f1_weighted": 0.753417439641227
|
40 |
+
},
|
41 |
+
{
|
42 |
+
"accuracy": 0.705078125,
|
43 |
+
"ap": 0.6430150082236842,
|
44 |
+
"ap_weighted": 0.6430150082236842,
|
45 |
+
"f1": 0.7049655782998275,
|
46 |
+
"f1_weighted": 0.7049655782998275
|
47 |
+
},
|
48 |
+
{
|
49 |
+
"accuracy": 0.7255859375,
|
50 |
+
"ap": 0.672415796624714,
|
51 |
+
"ap_weighted": 0.672415796624714,
|
52 |
+
"f1": 0.7241059263570389,
|
53 |
+
"f1_weighted": 0.7241059263570389
|
54 |
+
},
|
55 |
+
{
|
56 |
+
"accuracy": 0.6845703125,
|
57 |
+
"ap": 0.6162109375,
|
58 |
+
"ap_weighted": 0.6162109375,
|
59 |
+
"f1": 0.6697390979613315,
|
60 |
+
"f1_weighted": 0.6697390979613315
|
61 |
+
},
|
62 |
+
{
|
63 |
+
"accuracy": 0.77001953125,
|
64 |
+
"ap": 0.7068677063282002,
|
65 |
+
"ap_weighted": 0.7068677063282002,
|
66 |
+
"f1": 0.7700071934744195,
|
67 |
+
"f1_weighted": 0.7700071934744195
|
68 |
+
},
|
69 |
+
{
|
70 |
+
"accuracy": 0.75,
|
71 |
+
"ap": 0.675314465408805,
|
72 |
+
"ap_weighted": 0.675314465408805,
|
73 |
+
"f1": 0.7462795199380565,
|
74 |
+
"f1_weighted": 0.7462795199380565
|
75 |
+
},
|
76 |
+
{
|
77 |
+
"accuracy": 0.728515625,
|
78 |
+
"ap": 0.6725068933823529,
|
79 |
+
"ap_weighted": 0.6725068933823529,
|
80 |
+
"f1": 0.7277863998385874,
|
81 |
+
"f1_weighted": 0.7277863998385874
|
82 |
+
},
|
83 |
+
{
|
84 |
+
"accuracy": 0.71875,
|
85 |
+
"ap": 0.6589701417004049,
|
86 |
+
"ap_weighted": 0.6589701417004049,
|
87 |
+
"f1": 0.7186630695672415,
|
88 |
+
"f1_weighted": 0.7186630695672415
|
89 |
+
}
|
90 |
+
]
|
91 |
+
}
|
92 |
+
]
|
93 |
+
},
|
94 |
+
"task_name": "InappropriatenessClassification"
|
95 |
+
}
|
results/Alibaba-NLP__gte-Qwen1.5-7B-instruct/07d27e5226328010336563bc1b564a5e3436a298/KinopoiskClassification.json
ADDED
@@ -0,0 +1,73 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"dataset_revision": "5911f26666ac11af46cb9c6849d0dc80a378af24",
|
3 |
+
"evaluation_time": 84.22461795806885,
|
4 |
+
"kg_co2_emissions": null,
|
5 |
+
"mteb_version": "1.19.2",
|
6 |
+
"scores": {
|
7 |
+
"test": [
|
8 |
+
{
|
9 |
+
"accuracy": 0.6716666666666666,
|
10 |
+
"f1": 0.6476545663988791,
|
11 |
+
"f1_weighted": 0.6476545663988791,
|
12 |
+
"hf_subset": "default",
|
13 |
+
"languages": [
|
14 |
+
"rus-Cyrl"
|
15 |
+
],
|
16 |
+
"main_score": 0.6716666666666666,
|
17 |
+
"scores_per_experiment": [
|
18 |
+
{
|
19 |
+
"accuracy": 0.6746666666666666,
|
20 |
+
"f1": 0.64998884298854,
|
21 |
+
"f1_weighted": 0.64998884298854
|
22 |
+
},
|
23 |
+
{
|
24 |
+
"accuracy": 0.6273333333333333,
|
25 |
+
"f1": 0.5395116792472158,
|
26 |
+
"f1_weighted": 0.5395116792472157
|
27 |
+
},
|
28 |
+
{
|
29 |
+
"accuracy": 0.6933333333333334,
|
30 |
+
"f1": 0.6851147871880379,
|
31 |
+
"f1_weighted": 0.6851147871880379
|
32 |
+
},
|
33 |
+
{
|
34 |
+
"accuracy": 0.6746666666666666,
|
35 |
+
"f1": 0.6537567797235678,
|
36 |
+
"f1_weighted": 0.6537567797235679
|
37 |
+
},
|
38 |
+
{
|
39 |
+
"accuracy": 0.664,
|
40 |
+
"f1": 0.6461389383302979,
|
41 |
+
"f1_weighted": 0.6461389383302979
|
42 |
+
},
|
43 |
+
{
|
44 |
+
"accuracy": 0.6786666666666666,
|
45 |
+
"f1": 0.6629463945304079,
|
46 |
+
"f1_weighted": 0.6629463945304079
|
47 |
+
},
|
48 |
+
{
|
49 |
+
"accuracy": 0.6693333333333333,
|
50 |
+
"f1": 0.6561239246851377,
|
51 |
+
"f1_weighted": 0.6561239246851377
|
52 |
+
},
|
53 |
+
{
|
54 |
+
"accuracy": 0.6746666666666666,
|
55 |
+
"f1": 0.664298738939659,
|
56 |
+
"f1_weighted": 0.664298738939659
|
57 |
+
},
|
58 |
+
{
|
59 |
+
"accuracy": 0.678,
|
60 |
+
"f1": 0.6493604358600386,
|
61 |
+
"f1_weighted": 0.6493604358600387
|
62 |
+
},
|
63 |
+
{
|
64 |
+
"accuracy": 0.682,
|
65 |
+
"f1": 0.6693051424958885,
|
66 |
+
"f1_weighted": 0.6693051424958885
|
67 |
+
}
|
68 |
+
]
|
69 |
+
}
|
70 |
+
]
|
71 |
+
},
|
72 |
+
"task_name": "KinopoiskClassification"
|
73 |
+
}
|
results/Alibaba-NLP__gte-Qwen1.5-7B-instruct/07d27e5226328010336563bc1b564a5e3436a298/MIRACLReranking.json
ADDED
@@ -0,0 +1,130 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"dataset_revision": "6d1962c527217f8927fca80f890f14f36b2802af",
|
3 |
+
"evaluation_time": 3058.513674020767,
|
4 |
+
"kg_co2_emissions": null,
|
5 |
+
"mteb_version": "1.19.2",
|
6 |
+
"scores": {
|
7 |
+
"dev": [
|
8 |
+
{
|
9 |
+
"MAP@1(MIRACL)": 0.30839,
|
10 |
+
"MAP@10(MIRACL)": 0.47796,
|
11 |
+
"MAP@100(MIRACL)": 0.49908,
|
12 |
+
"MAP@1000(MIRACL)": 0.49908,
|
13 |
+
"MAP@20(MIRACL)": 0.49089,
|
14 |
+
"MAP@3(MIRACL)": 0.41929,
|
15 |
+
"MAP@5(MIRACL)": 0.44976,
|
16 |
+
"NDCG@1(MIRACL)": 0.50682,
|
17 |
+
"NDCG@10(MIRACL)": 0.55338,
|
18 |
+
"NDCG@100(MIRACL)": 0.60257,
|
19 |
+
"NDCG@1000(MIRACL)": 0.60257,
|
20 |
+
"NDCG@20(MIRACL)": 0.57749,
|
21 |
+
"NDCG@3(MIRACL)": 0.50141,
|
22 |
+
"NDCG@5(MIRACL)": 0.51849,
|
23 |
+
"P@1(MIRACL)": 0.50682,
|
24 |
+
"P@10(MIRACL)": 0.13978,
|
25 |
+
"P@100(MIRACL)": 0.01953,
|
26 |
+
"P@1000(MIRACL)": 0.00195,
|
27 |
+
"P@20(MIRACL)": 0.0816,
|
28 |
+
"P@3(MIRACL)": 0.30446,
|
29 |
+
"P@5(MIRACL)": 0.22326,
|
30 |
+
"Recall@1(MIRACL)": 0.30839,
|
31 |
+
"Recall@10(MIRACL)": 0.64404,
|
32 |
+
"Recall@100(MIRACL)": 0.79952,
|
33 |
+
"Recall@1000(MIRACL)": 0.79952,
|
34 |
+
"Recall@20(MIRACL)": 0.70976,
|
35 |
+
"Recall@3(MIRACL)": 0.47999,
|
36 |
+
"Recall@5(MIRACL)": 0.55208,
|
37 |
+
"hf_subset": "ru",
|
38 |
+
"languages": [
|
39 |
+
"rus-Cyrl"
|
40 |
+
],
|
41 |
+
"main_score": 0.55338,
|
42 |
+
"nAUC_MAP@1000_diff1(MIRACL)": 0.2089962442210562,
|
43 |
+
"nAUC_MAP@1000_max(MIRACL)": 0.2919003259842182,
|
44 |
+
"nAUC_MAP@1000_std(MIRACL)": 0.11313653899226035,
|
45 |
+
"nAUC_MAP@100_diff1(MIRACL)": 0.2089962442210562,
|
46 |
+
"nAUC_MAP@100_max(MIRACL)": 0.2919003259842182,
|
47 |
+
"nAUC_MAP@100_std(MIRACL)": 0.11313653899226035,
|
48 |
+
"nAUC_MAP@10_diff1(MIRACL)": 0.222888454995082,
|
49 |
+
"nAUC_MAP@10_max(MIRACL)": 0.26810830243952344,
|
50 |
+
"nAUC_MAP@10_std(MIRACL)": 0.10456851487569355,
|
51 |
+
"nAUC_MAP@1_diff1(MIRACL)": 0.329830297887621,
|
52 |
+
"nAUC_MAP@1_max(MIRACL)": 0.17126033256438405,
|
53 |
+
"nAUC_MAP@1_std(MIRACL)": 0.011921962991838076,
|
54 |
+
"nAUC_MAP@20_diff1(MIRACL)": 0.21525905527375686,
|
55 |
+
"nAUC_MAP@20_max(MIRACL)": 0.28305684187493246,
|
56 |
+
"nAUC_MAP@20_std(MIRACL)": 0.11348945318590824,
|
57 |
+
"nAUC_MAP@3_diff1(MIRACL)": 0.24982718126885262,
|
58 |
+
"nAUC_MAP@3_max(MIRACL)": 0.2222827611042665,
|
59 |
+
"nAUC_MAP@3_std(MIRACL)": 0.0686188171932736,
|
60 |
+
"nAUC_MAP@5_diff1(MIRACL)": 0.23695295846406364,
|
61 |
+
"nAUC_MAP@5_max(MIRACL)": 0.24665776208873202,
|
62 |
+
"nAUC_MAP@5_std(MIRACL)": 0.08700740306625203,
|
63 |
+
"nAUC_NDCG@1000_diff1(MIRACL)": 0.1404888787431995,
|
64 |
+
"nAUC_NDCG@1000_max(MIRACL)": 0.3670312011441587,
|
65 |
+
"nAUC_NDCG@1000_std(MIRACL)": 0.14472410998897423,
|
66 |
+
"nAUC_NDCG@100_diff1(MIRACL)": 0.1404888787431995,
|
67 |
+
"nAUC_NDCG@100_max(MIRACL)": 0.3670312011441587,
|
68 |
+
"nAUC_NDCG@100_std(MIRACL)": 0.14472410998897423,
|
69 |
+
"nAUC_NDCG@10_diff1(MIRACL)": 0.18315726445656572,
|
70 |
+
"nAUC_NDCG@10_max(MIRACL)": 0.31366687889861145,
|
71 |
+
"nAUC_NDCG@10_std(MIRACL)": 0.13224385174174086,
|
72 |
+
"nAUC_NDCG@1_diff1(MIRACL)": 0.26296207012200273,
|
73 |
+
"nAUC_NDCG@1_max(MIRACL)": 0.36530226031318025,
|
74 |
+
"nAUC_NDCG@1_std(MIRACL)": 0.1093290487120926,
|
75 |
+
"nAUC_NDCG@20_diff1(MIRACL)": 0.16408309785943495,
|
76 |
+
"nAUC_NDCG@20_max(MIRACL)": 0.34197426643090567,
|
77 |
+
"nAUC_NDCG@20_std(MIRACL)": 0.14523474760359054,
|
78 |
+
"nAUC_NDCG@3_diff1(MIRACL)": 0.20704435696438578,
|
79 |
+
"nAUC_NDCG@3_max(MIRACL)": 0.2932234688017299,
|
80 |
+
"nAUC_NDCG@3_std(MIRACL)": 0.10967851247525288,
|
81 |
+
"nAUC_NDCG@5_diff1(MIRACL)": 0.20267432251237152,
|
82 |
+
"nAUC_NDCG@5_max(MIRACL)": 0.30015217521787424,
|
83 |
+
"nAUC_NDCG@5_std(MIRACL)": 0.11955390856968096,
|
84 |
+
"nAUC_P@1000_diff1(MIRACL)": -0.18581808095830424,
|
85 |
+
"nAUC_P@1000_max(MIRACL)": 0.28768119683086585,
|
86 |
+
"nAUC_P@1000_std(MIRACL)": 0.11453610966247148,
|
87 |
+
"nAUC_P@100_diff1(MIRACL)": -0.18581808095830377,
|
88 |
+
"nAUC_P@100_max(MIRACL)": 0.28768119683086624,
|
89 |
+
"nAUC_P@100_std(MIRACL)": 0.1145361096624716,
|
90 |
+
"nAUC_P@10_diff1(MIRACL)": -0.11490679091021795,
|
91 |
+
"nAUC_P@10_max(MIRACL)": 0.303732953660836,
|
92 |
+
"nAUC_P@10_std(MIRACL)": 0.1815144896650242,
|
93 |
+
"nAUC_P@1_diff1(MIRACL)": 0.26296207012200273,
|
94 |
+
"nAUC_P@1_max(MIRACL)": 0.36530226031318025,
|
95 |
+
"nAUC_P@1_std(MIRACL)": 0.1093290487120926,
|
96 |
+
"nAUC_P@20_diff1(MIRACL)": -0.1469460760354143,
|
97 |
+
"nAUC_P@20_max(MIRACL)": 0.3073193969322568,
|
98 |
+
"nAUC_P@20_std(MIRACL)": 0.16885272580854835,
|
99 |
+
"nAUC_P@3_diff1(MIRACL)": -0.012682613687038172,
|
100 |
+
"nAUC_P@3_max(MIRACL)": 0.3248833378603578,
|
101 |
+
"nAUC_P@3_std(MIRACL)": 0.1753789292191723,
|
102 |
+
"nAUC_P@5_diff1(MIRACL)": -0.06119474522408995,
|
103 |
+
"nAUC_P@5_max(MIRACL)": 0.3250797516073804,
|
104 |
+
"nAUC_P@5_std(MIRACL)": 0.18667527856903227,
|
105 |
+
"nAUC_Recall@1000_diff1(MIRACL)": -0.1336575788083657,
|
106 |
+
"nAUC_Recall@1000_max(MIRACL)": 0.5176985694789664,
|
107 |
+
"nAUC_Recall@1000_std(MIRACL)": 0.22392826741997982,
|
108 |
+
"nAUC_Recall@100_diff1(MIRACL)": -0.1336575788083657,
|
109 |
+
"nAUC_Recall@100_max(MIRACL)": 0.5176985694789664,
|
110 |
+
"nAUC_Recall@100_std(MIRACL)": 0.22392826741997982,
|
111 |
+
"nAUC_Recall@10_diff1(MIRACL)": 0.0926463193056263,
|
112 |
+
"nAUC_Recall@10_max(MIRACL)": 0.28291780552434215,
|
113 |
+
"nAUC_Recall@10_std(MIRACL)": 0.1497300332187107,
|
114 |
+
"nAUC_Recall@1_diff1(MIRACL)": 0.329830297887621,
|
115 |
+
"nAUC_Recall@1_max(MIRACL)": 0.17126033256438405,
|
116 |
+
"nAUC_Recall@1_std(MIRACL)": 0.011921962991838076,
|
117 |
+
"nAUC_Recall@20_diff1(MIRACL)": 0.02226157355604967,
|
118 |
+
"nAUC_Recall@20_max(MIRACL)": 0.36952005700517465,
|
119 |
+
"nAUC_Recall@20_std(MIRACL)": 0.1946681259929083,
|
120 |
+
"nAUC_Recall@3_diff1(MIRACL)": 0.19357536696091276,
|
121 |
+
"nAUC_Recall@3_max(MIRACL)": 0.19784137636238455,
|
122 |
+
"nAUC_Recall@3_std(MIRACL)": 0.08700031115205505,
|
123 |
+
"nAUC_Recall@5_diff1(MIRACL)": 0.1508838319445154,
|
124 |
+
"nAUC_Recall@5_max(MIRACL)": 0.23837577186242764,
|
125 |
+
"nAUC_Recall@5_std(MIRACL)": 0.1224704068815029
|
126 |
+
}
|
127 |
+
]
|
128 |
+
},
|
129 |
+
"task_name": "MIRACLReranking"
|
130 |
+
}
|
results/Alibaba-NLP__gte-Qwen1.5-7B-instruct/07d27e5226328010336563bc1b564a5e3436a298/MassiveIntentClassification.json
ADDED
@@ -0,0 +1,137 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"dataset_revision": "4672e20407010da34463acc759c162ca9734bca6",
|
3 |
+
"evaluation_time": 238.89698457717896,
|
4 |
+
"kg_co2_emissions": null,
|
5 |
+
"mteb_version": "1.19.2",
|
6 |
+
"scores": {
|
7 |
+
"test": [
|
8 |
+
{
|
9 |
+
"accuracy": 0.7314727639542704,
|
10 |
+
"f1": 0.7029509613044315,
|
11 |
+
"f1_weighted": 0.7256631827900565,
|
12 |
+
"hf_subset": "ru",
|
13 |
+
"languages": [
|
14 |
+
"rus-Cyrl"
|
15 |
+
],
|
16 |
+
"main_score": 0.7314727639542704,
|
17 |
+
"scores_per_experiment": [
|
18 |
+
{
|
19 |
+
"accuracy": 0.7498318762609281,
|
20 |
+
"f1": 0.716140430710699,
|
21 |
+
"f1_weighted": 0.7451098688894293
|
22 |
+
},
|
23 |
+
{
|
24 |
+
"accuracy": 0.7397444519166106,
|
25 |
+
"f1": 0.7096092013926623,
|
26 |
+
"f1_weighted": 0.7366102563637507
|
27 |
+
},
|
28 |
+
{
|
29 |
+
"accuracy": 0.7114996637525218,
|
30 |
+
"f1": 0.6915641707074874,
|
31 |
+
"f1_weighted": 0.7116819647995989
|
32 |
+
},
|
33 |
+
{
|
34 |
+
"accuracy": 0.7528581035642232,
|
35 |
+
"f1": 0.7102457063724665,
|
36 |
+
"f1_weighted": 0.742370987289208
|
37 |
+
},
|
38 |
+
{
|
39 |
+
"accuracy": 0.7431069266980498,
|
40 |
+
"f1": 0.7092041013363598,
|
41 |
+
"f1_weighted": 0.7358669124480911
|
42 |
+
},
|
43 |
+
{
|
44 |
+
"accuracy": 0.7078009414929388,
|
45 |
+
"f1": 0.6840768024865365,
|
46 |
+
"f1_weighted": 0.7085615317675305
|
47 |
+
},
|
48 |
+
{
|
49 |
+
"accuracy": 0.726630800268998,
|
50 |
+
"f1": 0.6986013055501684,
|
51 |
+
"f1_weighted": 0.7156717667858077
|
52 |
+
},
|
53 |
+
{
|
54 |
+
"accuracy": 0.7246133154001345,
|
55 |
+
"f1": 0.6899712907863645,
|
56 |
+
"f1_weighted": 0.7155703887651953
|
57 |
+
},
|
58 |
+
{
|
59 |
+
"accuracy": 0.7135171486213854,
|
60 |
+
"f1": 0.7004742109283838,
|
61 |
+
"f1_weighted": 0.7065636857122223
|
62 |
+
},
|
63 |
+
{
|
64 |
+
"accuracy": 0.7451244115669132,
|
65 |
+
"f1": 0.7196223927731854,
|
66 |
+
"f1_weighted": 0.7386244650797311
|
67 |
+
}
|
68 |
+
]
|
69 |
+
}
|
70 |
+
],
|
71 |
+
"validation": [
|
72 |
+
{
|
73 |
+
"accuracy": 0.7371864240039351,
|
74 |
+
"f1": 0.6919872164606259,
|
75 |
+
"f1_weighted": 0.728897197686264,
|
76 |
+
"hf_subset": "ru",
|
77 |
+
"languages": [
|
78 |
+
"rus-Cyrl"
|
79 |
+
],
|
80 |
+
"main_score": 0.7371864240039351,
|
81 |
+
"scores_per_experiment": [
|
82 |
+
{
|
83 |
+
"accuracy": 0.7481554353172651,
|
84 |
+
"f1": 0.697706708330012,
|
85 |
+
"f1_weighted": 0.741921738803396
|
86 |
+
},
|
87 |
+
{
|
88 |
+
"accuracy": 0.7402852926709297,
|
89 |
+
"f1": 0.6929606464768286,
|
90 |
+
"f1_weighted": 0.7358916138155063
|
91 |
+
},
|
92 |
+
{
|
93 |
+
"accuracy": 0.735858337432366,
|
94 |
+
"f1": 0.6939703259575215,
|
95 |
+
"f1_weighted": 0.7307368868035592
|
96 |
+
},
|
97 |
+
{
|
98 |
+
"accuracy": 0.7515986227250369,
|
99 |
+
"f1": 0.6975390996102395,
|
100 |
+
"f1_weighted": 0.7401302137124002
|
101 |
+
},
|
102 |
+
{
|
103 |
+
"accuracy": 0.7476635514018691,
|
104 |
+
"f1": 0.6975070690946991,
|
105 |
+
"f1_weighted": 0.736950671981587
|
106 |
+
},
|
107 |
+
{
|
108 |
+
"accuracy": 0.7274963108706345,
|
109 |
+
"f1": 0.6854731694412295,
|
110 |
+
"f1_weighted": 0.7247630530178875
|
111 |
+
},
|
112 |
+
{
|
113 |
+
"accuracy": 0.7324151500245942,
|
114 |
+
"f1": 0.6832147716839522,
|
115 |
+
"f1_weighted": 0.7196689872914709
|
116 |
+
},
|
117 |
+
{
|
118 |
+
"accuracy": 0.7284800787014265,
|
119 |
+
"f1": 0.6837681985370787,
|
120 |
+
"f1_weighted": 0.7181839293197748
|
121 |
+
},
|
122 |
+
{
|
123 |
+
"accuracy": 0.7147073290703394,
|
124 |
+
"f1": 0.6814897084521937,
|
125 |
+
"f1_weighted": 0.7028530347559647
|
126 |
+
},
|
127 |
+
{
|
128 |
+
"accuracy": 0.7452041318248893,
|
129 |
+
"f1": 0.7062424670225043,
|
130 |
+
"f1_weighted": 0.7378718473610946
|
131 |
+
}
|
132 |
+
]
|
133 |
+
}
|
134 |
+
]
|
135 |
+
},
|
136 |
+
"task_name": "MassiveIntentClassification"
|
137 |
+
}
|
results/Alibaba-NLP__gte-Qwen1.5-7B-instruct/07d27e5226328010336563bc1b564a5e3436a298/MassiveScenarioClassification.json
ADDED
@@ -0,0 +1,137 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"dataset_revision": "fad2c6e8459f9e1c45d9315f4953d921437d70f8",
|
3 |
+
"evaluation_time": 133.87348747253418,
|
4 |
+
"kg_co2_emissions": null,
|
5 |
+
"mteb_version": "1.19.2",
|
6 |
+
"scores": {
|
7 |
+
"test": [
|
8 |
+
{
|
9 |
+
"accuracy": 0.7545729657027572,
|
10 |
+
"f1": 0.7490898691066853,
|
11 |
+
"f1_weighted": 0.7515855273153575,
|
12 |
+
"hf_subset": "ru",
|
13 |
+
"languages": [
|
14 |
+
"rus-Cyrl"
|
15 |
+
],
|
16 |
+
"main_score": 0.7545729657027572,
|
17 |
+
"scores_per_experiment": [
|
18 |
+
{
|
19 |
+
"accuracy": 0.7511768661735037,
|
20 |
+
"f1": 0.7456108309189888,
|
21 |
+
"f1_weighted": 0.7484723005511253
|
22 |
+
},
|
23 |
+
{
|
24 |
+
"accuracy": 0.7505043712172159,
|
25 |
+
"f1": 0.7457814471713863,
|
26 |
+
"f1_weighted": 0.7462111693089635
|
27 |
+
},
|
28 |
+
{
|
29 |
+
"accuracy": 0.7636180228648285,
|
30 |
+
"f1": 0.754175232640998,
|
31 |
+
"f1_weighted": 0.7607174268135466
|
32 |
+
},
|
33 |
+
{
|
34 |
+
"accuracy": 0.7575655682582381,
|
35 |
+
"f1": 0.7491067946517629,
|
36 |
+
"f1_weighted": 0.7551134220589979
|
37 |
+
},
|
38 |
+
{
|
39 |
+
"accuracy": 0.7363819771351715,
|
40 |
+
"f1": 0.7311910589063159,
|
41 |
+
"f1_weighted": 0.7306166372787689
|
42 |
+
},
|
43 |
+
{
|
44 |
+
"accuracy": 0.7279757901815737,
|
45 |
+
"f1": 0.7275025983852841,
|
46 |
+
"f1_weighted": 0.7248716100340834
|
47 |
+
},
|
48 |
+
{
|
49 |
+
"accuracy": 0.7552118359112306,
|
50 |
+
"f1": 0.7432017673921737,
|
51 |
+
"f1_weighted": 0.7523270597889727
|
52 |
+
},
|
53 |
+
{
|
54 |
+
"accuracy": 0.7457969065232011,
|
55 |
+
"f1": 0.7452713354966792,
|
56 |
+
"f1_weighted": 0.7453588019062662
|
57 |
+
},
|
58 |
+
{
|
59 |
+
"accuracy": 0.7824478816408877,
|
60 |
+
"f1": 0.7765375469569651,
|
61 |
+
"f1_weighted": 0.7774774088361666
|
62 |
+
},
|
63 |
+
{
|
64 |
+
"accuracy": 0.7750504371217216,
|
65 |
+
"f1": 0.772520078546299,
|
66 |
+
"f1_weighted": 0.7746894365766843
|
67 |
+
}
|
68 |
+
]
|
69 |
+
}
|
70 |
+
],
|
71 |
+
"validation": [
|
72 |
+
{
|
73 |
+
"accuracy": 0.7585833743236596,
|
74 |
+
"f1": 0.750976458122237,
|
75 |
+
"f1_weighted": 0.7552329606312337,
|
76 |
+
"hf_subset": "ru",
|
77 |
+
"languages": [
|
78 |
+
"rus-Cyrl"
|
79 |
+
],
|
80 |
+
"main_score": 0.7585833743236596,
|
81 |
+
"scores_per_experiment": [
|
82 |
+
{
|
83 |
+
"accuracy": 0.7589768814559764,
|
84 |
+
"f1": 0.752446272325823,
|
85 |
+
"f1_weighted": 0.7567932005533703
|
86 |
+
},
|
87 |
+
{
|
88 |
+
"accuracy": 0.7461878996556812,
|
89 |
+
"f1": 0.7413218044474701,
|
90 |
+
"f1_weighted": 0.7434603528500205
|
91 |
+
},
|
92 |
+
{
|
93 |
+
"accuracy": 0.7722577471716675,
|
94 |
+
"f1": 0.761345597506989,
|
95 |
+
"f1_weighted": 0.7688634050629207
|
96 |
+
},
|
97 |
+
{
|
98 |
+
"accuracy": 0.7530742744712248,
|
99 |
+
"f1": 0.7441008750798291,
|
100 |
+
"f1_weighted": 0.7482848214919452
|
101 |
+
},
|
102 |
+
{
|
103 |
+
"accuracy": 0.7456960157402853,
|
104 |
+
"f1": 0.7377843033368218,
|
105 |
+
"f1_weighted": 0.7396580823759403
|
106 |
+
},
|
107 |
+
{
|
108 |
+
"accuracy": 0.7309394982784063,
|
109 |
+
"f1": 0.7263739502710909,
|
110 |
+
"f1_weighted": 0.7269369244142984
|
111 |
+
},
|
112 |
+
{
|
113 |
+
"accuracy": 0.7624200688637481,
|
114 |
+
"f1": 0.7487759384438273,
|
115 |
+
"f1_weighted": 0.7604143042265185
|
116 |
+
},
|
117 |
+
{
|
118 |
+
"accuracy": 0.735858337432366,
|
119 |
+
"f1": 0.7303500540265936,
|
120 |
+
"f1_weighted": 0.734421778539582
|
121 |
+
},
|
122 |
+
{
|
123 |
+
"accuracy": 0.7968519429414658,
|
124 |
+
"f1": 0.7875421066196677,
|
125 |
+
"f1_weighted": 0.7908719752208149
|
126 |
+
},
|
127 |
+
{
|
128 |
+
"accuracy": 0.7835710772257747,
|
129 |
+
"f1": 0.7797236791642576,
|
130 |
+
"f1_weighted": 0.7826247615769252
|
131 |
+
}
|
132 |
+
]
|
133 |
+
}
|
134 |
+
]
|
135 |
+
},
|
136 |
+
"task_name": "MassiveScenarioClassification"
|
137 |
+
}
|
results/Alibaba-NLP__gte-Qwen1.5-7B-instruct/07d27e5226328010336563bc1b564a5e3436a298/RUParaPhraserSTS.json
ADDED
@@ -0,0 +1,26 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"dataset_revision": "43265056790b8f7c59e0139acb4be0a8dad2c8f4",
|
3 |
+
"evaluation_time": 52.95315933227539,
|
4 |
+
"kg_co2_emissions": null,
|
5 |
+
"mteb_version": "1.19.2",
|
6 |
+
"scores": {
|
7 |
+
"test": [
|
8 |
+
{
|
9 |
+
"cosine_pearson": 0.6994501757022691,
|
10 |
+
"cosine_spearman": 0.7364909320959803,
|
11 |
+
"euclidean_pearson": 0.718112255879904,
|
12 |
+
"euclidean_spearman": 0.7364909320959803,
|
13 |
+
"hf_subset": "default",
|
14 |
+
"languages": [
|
15 |
+
"rus-Cyrl"
|
16 |
+
],
|
17 |
+
"main_score": 0.7364909320959803,
|
18 |
+
"manhattan_pearson": 0.7181879721477015,
|
19 |
+
"manhattan_spearman": 0.7363332544480308,
|
20 |
+
"pearson": 0.6994501757022691,
|
21 |
+
"spearman": 0.7364909320959803
|
22 |
+
}
|
23 |
+
]
|
24 |
+
},
|
25 |
+
"task_name": "RUParaPhraserSTS"
|
26 |
+
}
|
results/Alibaba-NLP__gte-Qwen1.5-7B-instruct/07d27e5226328010336563bc1b564a5e3436a298/RiaNewsRetrieval.json
ADDED
@@ -0,0 +1,158 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"dataset_revision": "82374b0bbacda6114f39ff9c5b925fa1512ca5d7",
|
3 |
+
"evaluation_time": 28827.79638028145,
|
4 |
+
"kg_co2_emissions": null,
|
5 |
+
"mteb_version": "1.19.4",
|
6 |
+
"scores": {
|
7 |
+
"test": [
|
8 |
+
{
|
9 |
+
"hf_subset": "default",
|
10 |
+
"languages": [
|
11 |
+
"rus-Cyrl"
|
12 |
+
],
|
13 |
+
"main_score": 0.61105,
|
14 |
+
"map_at_1": 0.4719,
|
15 |
+
"map_at_10": 0.56564,
|
16 |
+
"map_at_100": 0.57159,
|
17 |
+
"map_at_1000": 0.57187,
|
18 |
+
"map_at_20": 0.56936,
|
19 |
+
"map_at_3": 0.54457,
|
20 |
+
"map_at_5": 0.55712,
|
21 |
+
"mrr_at_1": 0.4719,
|
22 |
+
"mrr_at_10": 0.5656386507936508,
|
23 |
+
"mrr_at_100": 0.5715907421190816,
|
24 |
+
"mrr_at_1000": 0.5718664157490458,
|
25 |
+
"mrr_at_20": 0.5693608111784156,
|
26 |
+
"mrr_at_3": 0.5445666666666666,
|
27 |
+
"mrr_at_5": 0.5571166666666667,
|
28 |
+
"nauc_map_at_1000_diff1": 0.6287499640238895,
|
29 |
+
"nauc_map_at_1000_max": 0.2034016409284853,
|
30 |
+
"nauc_map_at_1000_std": -0.024213719396550072,
|
31 |
+
"nauc_map_at_100_diff1": 0.6286832444938639,
|
32 |
+
"nauc_map_at_100_max": 0.20339278798339705,
|
33 |
+
"nauc_map_at_100_std": -0.024115897091813165,
|
34 |
+
"nauc_map_at_10_diff1": 0.6284471188698416,
|
35 |
+
"nauc_map_at_10_max": 0.20336793851550597,
|
36 |
+
"nauc_map_at_10_std": -0.026007494086294988,
|
37 |
+
"nauc_map_at_1_diff1": 0.6686374004258928,
|
38 |
+
"nauc_map_at_1_max": 0.18676159333349435,
|
39 |
+
"nauc_map_at_1_std": -0.05212337458336629,
|
40 |
+
"nauc_map_at_20_diff1": 0.6284087008703055,
|
41 |
+
"nauc_map_at_20_max": 0.20354268936083575,
|
42 |
+
"nauc_map_at_20_std": -0.024912987275978588,
|
43 |
+
"nauc_map_at_3_diff1": 0.6307094590356809,
|
44 |
+
"nauc_map_at_3_max": 0.2010374239943087,
|
45 |
+
"nauc_map_at_3_std": -0.03385505506633223,
|
46 |
+
"nauc_map_at_5_diff1": 0.6279907550563606,
|
47 |
+
"nauc_map_at_5_max": 0.20196529282308165,
|
48 |
+
"nauc_map_at_5_std": -0.029191933770232412,
|
49 |
+
"nauc_mrr_at_1000_diff1": 0.6287493903360661,
|
50 |
+
"nauc_mrr_at_1000_max": 0.20340088178138574,
|
51 |
+
"nauc_mrr_at_1000_std": -0.024214496755751477,
|
52 |
+
"nauc_mrr_at_100_diff1": 0.6286826712446165,
|
53 |
+
"nauc_mrr_at_100_max": 0.2033920294768933,
|
54 |
+
"nauc_mrr_at_100_std": -0.024116673713993626,
|
55 |
+
"nauc_mrr_at_10_diff1": 0.6284471188698416,
|
56 |
+
"nauc_mrr_at_10_max": 0.20336793851550597,
|
57 |
+
"nauc_mrr_at_10_std": -0.026007494086294988,
|
58 |
+
"nauc_mrr_at_1_diff1": 0.6686374004258928,
|
59 |
+
"nauc_mrr_at_1_max": 0.18676159333349435,
|
60 |
+
"nauc_mrr_at_1_std": -0.05212337458336629,
|
61 |
+
"nauc_mrr_at_20_diff1": 0.6284081309623656,
|
62 |
+
"nauc_mrr_at_20_max": 0.20354193566219686,
|
63 |
+
"nauc_mrr_at_20_std": -0.02491375969185557,
|
64 |
+
"nauc_mrr_at_3_diff1": 0.6307094590356809,
|
65 |
+
"nauc_mrr_at_3_max": 0.2010374239943087,
|
66 |
+
"nauc_mrr_at_3_std": -0.03385505506633223,
|
67 |
+
"nauc_mrr_at_5_diff1": 0.6279907550563606,
|
68 |
+
"nauc_mrr_at_5_max": 0.20196529282308165,
|
69 |
+
"nauc_mrr_at_5_std": -0.029191933770232412,
|
70 |
+
"nauc_ndcg_at_1000_diff1": 0.6165892576941506,
|
71 |
+
"nauc_ndcg_at_1000_max": 0.21333892985031438,
|
72 |
+
"nauc_ndcg_at_1000_std": -0.0005843485217573434,
|
73 |
+
"nauc_ndcg_at_100_diff1": 0.6142205015081649,
|
74 |
+
"nauc_ndcg_at_100_max": 0.21314468048070861,
|
75 |
+
"nauc_ndcg_at_100_std": 0.004184575062404777,
|
76 |
+
"nauc_ndcg_at_10_diff1": 0.612957070773732,
|
77 |
+
"nauc_ndcg_at_10_max": 0.21140675903403125,
|
78 |
+
"nauc_ndcg_at_10_std": -0.008762805121120773,
|
79 |
+
"nauc_ndcg_at_1_diff1": 0.6686374004258928,
|
80 |
+
"nauc_ndcg_at_1_max": 0.18676159333349435,
|
81 |
+
"nauc_ndcg_at_1_std": -0.05212337458336629,
|
82 |
+
"nauc_ndcg_at_20_diff1": 0.6123757854804859,
|
83 |
+
"nauc_ndcg_at_20_max": 0.21268533489575686,
|
84 |
+
"nauc_ndcg_at_20_std": -0.0035666036311125435,
|
85 |
+
"nauc_ndcg_at_3_diff1": 0.6180249982578259,
|
86 |
+
"nauc_ndcg_at_3_max": 0.2057248816308168,
|
87 |
+
"nauc_ndcg_at_3_std": -0.027131282756732888,
|
88 |
+
"nauc_ndcg_at_5_diff1": 0.6123891288274917,
|
89 |
+
"nauc_ndcg_at_5_max": 0.20774580758763359,
|
90 |
+
"nauc_ndcg_at_5_std": -0.01772572627091591,
|
91 |
+
"nauc_precision_at_1000_diff1": 0.46975805247471825,
|
92 |
+
"nauc_precision_at_1000_max": 0.44040103603630476,
|
93 |
+
"nauc_precision_at_1000_std": 0.46633678346960505,
|
94 |
+
"nauc_precision_at_100_diff1": 0.5026853368120134,
|
95 |
+
"nauc_precision_at_100_max": 0.3100523189652789,
|
96 |
+
"nauc_precision_at_100_std": 0.30930509103777437,
|
97 |
+
"nauc_precision_at_10_diff1": 0.548554527934185,
|
98 |
+
"nauc_precision_at_10_max": 0.24671333595263523,
|
99 |
+
"nauc_precision_at_10_std": 0.07008771278395116,
|
100 |
+
"nauc_precision_at_1_diff1": 0.6686374004258928,
|
101 |
+
"nauc_precision_at_1_max": 0.18676159333349435,
|
102 |
+
"nauc_precision_at_1_std": -0.05212337458336629,
|
103 |
+
"nauc_precision_at_20_diff1": 0.531505354951576,
|
104 |
+
"nauc_precision_at_20_max": 0.26312956602606635,
|
105 |
+
"nauc_precision_at_20_std": 0.11977453322496394,
|
106 |
+
"nauc_precision_at_3_diff1": 0.5773867475454311,
|
107 |
+
"nauc_precision_at_3_max": 0.22071139718699107,
|
108 |
+
"nauc_precision_at_3_std": -0.005370102746454722,
|
109 |
+
"nauc_precision_at_5_diff1": 0.556826582018447,
|
110 |
+
"nauc_precision_at_5_max": 0.2283534205639564,
|
111 |
+
"nauc_precision_at_5_std": 0.024599254847439068,
|
112 |
+
"nauc_recall_at_1000_diff1": 0.46975805247472324,
|
113 |
+
"nauc_recall_at_1000_max": 0.4404010360363066,
|
114 |
+
"nauc_recall_at_1000_std": 0.46633678346960866,
|
115 |
+
"nauc_recall_at_100_diff1": 0.5026853368120127,
|
116 |
+
"nauc_recall_at_100_max": 0.31005231896527796,
|
117 |
+
"nauc_recall_at_100_std": 0.3093050910377749,
|
118 |
+
"nauc_recall_at_10_diff1": 0.548554527934184,
|
119 |
+
"nauc_recall_at_10_max": 0.24671333595263586,
|
120 |
+
"nauc_recall_at_10_std": 0.07008771278395223,
|
121 |
+
"nauc_recall_at_1_diff1": 0.6686374004258928,
|
122 |
+
"nauc_recall_at_1_max": 0.18676159333349435,
|
123 |
+
"nauc_recall_at_1_std": -0.05212337458336629,
|
124 |
+
"nauc_recall_at_20_diff1": 0.5315053549515758,
|
125 |
+
"nauc_recall_at_20_max": 0.2631295660260669,
|
126 |
+
"nauc_recall_at_20_std": 0.11977453322496431,
|
127 |
+
"nauc_recall_at_3_diff1": 0.5773867475454315,
|
128 |
+
"nauc_recall_at_3_max": 0.22071139718699118,
|
129 |
+
"nauc_recall_at_3_std": -0.0053701027464555,
|
130 |
+
"nauc_recall_at_5_diff1": 0.5568265820184471,
|
131 |
+
"nauc_recall_at_5_max": 0.22835342056395666,
|
132 |
+
"nauc_recall_at_5_std": 0.02459925484743956,
|
133 |
+
"ndcg_at_1": 0.4719,
|
134 |
+
"ndcg_at_10": 0.61105,
|
135 |
+
"ndcg_at_100": 0.64036,
|
136 |
+
"ndcg_at_1000": 0.6481,
|
137 |
+
"ndcg_at_20": 0.62447,
|
138 |
+
"ndcg_at_3": 0.56806,
|
139 |
+
"ndcg_at_5": 0.59064,
|
140 |
+
"precision_at_1": 0.4719,
|
141 |
+
"precision_at_10": 0.07533,
|
142 |
+
"precision_at_100": 0.00891,
|
143 |
+
"precision_at_1000": 0.00095,
|
144 |
+
"precision_at_20": 0.04031,
|
145 |
+
"precision_at_3": 0.212,
|
146 |
+
"precision_at_5": 0.13814,
|
147 |
+
"recall_at_1": 0.4719,
|
148 |
+
"recall_at_10": 0.7533,
|
149 |
+
"recall_at_100": 0.8912,
|
150 |
+
"recall_at_1000": 0.9531,
|
151 |
+
"recall_at_20": 0.8061,
|
152 |
+
"recall_at_3": 0.636,
|
153 |
+
"recall_at_5": 0.6907
|
154 |
+
}
|
155 |
+
]
|
156 |
+
},
|
157 |
+
"task_name": "RiaNewsRetrieval"
|
158 |
+
}
|
results/Alibaba-NLP__gte-Qwen1.5-7B-instruct/07d27e5226328010336563bc1b564a5e3436a298/RuBQReranking.json
ADDED
@@ -0,0 +1,26 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"dataset_revision": "2e96b8f098fa4b0950fc58eacadeb31c0d0c7fa2",
|
3 |
+
"evaluation_time": 935.4835982322693,
|
4 |
+
"kg_co2_emissions": null,
|
5 |
+
"mteb_version": "1.19.2",
|
6 |
+
"scores": {
|
7 |
+
"test": [
|
8 |
+
{
|
9 |
+
"hf_subset": "default",
|
10 |
+
"languages": [
|
11 |
+
"rus-Cyrl"
|
12 |
+
],
|
13 |
+
"main_score": 0.7028418717346855,
|
14 |
+
"map": 0.7028418717346855,
|
15 |
+
"mrr": 0.7563855372366011,
|
16 |
+
"nAUC_map_diff1": 0.3723907795868552,
|
17 |
+
"nAUC_map_max": 0.22814889043420492,
|
18 |
+
"nAUC_map_std": 0.15025167598805644,
|
19 |
+
"nAUC_mrr_diff1": 0.427561251537096,
|
20 |
+
"nAUC_mrr_max": 0.29252104240163374,
|
21 |
+
"nAUC_mrr_std": 0.16902210776192714
|
22 |
+
}
|
23 |
+
]
|
24 |
+
},
|
25 |
+
"task_name": "RuBQReranking"
|
26 |
+
}
|
results/Alibaba-NLP__gte-Qwen1.5-7B-instruct/07d27e5226328010336563bc1b564a5e3436a298/RuBQRetrieval.json
ADDED
@@ -0,0 +1,158 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"dataset_revision": "e19b6ffa60b3bc248e0b41f4cc37c26a55c2a67b",
|
3 |
+
"evaluation_time": 1340.1966524124146,
|
4 |
+
"kg_co2_emissions": null,
|
5 |
+
"mteb_version": "1.19.2",
|
6 |
+
"scores": {
|
7 |
+
"test": [
|
8 |
+
{
|
9 |
+
"hf_subset": "default",
|
10 |
+
"languages": [
|
11 |
+
"rus-Cyrl"
|
12 |
+
],
|
13 |
+
"main_score": 0.65167,
|
14 |
+
"map_at_1": 0.39151,
|
15 |
+
"map_at_10": 0.57358,
|
16 |
+
"map_at_100": 0.5852,
|
17 |
+
"map_at_1000": 0.58555,
|
18 |
+
"map_at_20": 0.5812,
|
19 |
+
"map_at_3": 0.52439,
|
20 |
+
"map_at_5": 0.55277,
|
21 |
+
"mrr_at_1": 0.5585106382978723,
|
22 |
+
"mrr_at_10": 0.6664867818679876,
|
23 |
+
"mrr_at_100": 0.6709254578889642,
|
24 |
+
"mrr_at_1000": 0.6710152668820618,
|
25 |
+
"mrr_at_20": 0.6693232592644961,
|
26 |
+
"mrr_at_3": 0.6447990543735225,
|
27 |
+
"mrr_at_5": 0.658274231678487,
|
28 |
+
"nauc_map_at_1000_diff1": 0.36531591057326135,
|
29 |
+
"nauc_map_at_1000_max": 0.3035653661266291,
|
30 |
+
"nauc_map_at_1000_std": 0.005254597941377395,
|
31 |
+
"nauc_map_at_100_diff1": 0.3652588812366525,
|
32 |
+
"nauc_map_at_100_max": 0.30363406949043575,
|
33 |
+
"nauc_map_at_100_std": 0.00539823574349937,
|
34 |
+
"nauc_map_at_10_diff1": 0.3599205834203505,
|
35 |
+
"nauc_map_at_10_max": 0.3012657738696787,
|
36 |
+
"nauc_map_at_10_std": -4.3776833764746496e-05,
|
37 |
+
"nauc_map_at_1_diff1": 0.4068781443901671,
|
38 |
+
"nauc_map_at_1_max": 0.2069025852633963,
|
39 |
+
"nauc_map_at_1_std": -0.028159099303659164,
|
40 |
+
"nauc_map_at_20_diff1": 0.3632085940089257,
|
41 |
+
"nauc_map_at_20_max": 0.30369858488942186,
|
42 |
+
"nauc_map_at_20_std": 0.005490637898915787,
|
43 |
+
"nauc_map_at_3_diff1": 0.3674666430542543,
|
44 |
+
"nauc_map_at_3_max": 0.27341770449371994,
|
45 |
+
"nauc_map_at_3_std": -0.0299484654813272,
|
46 |
+
"nauc_map_at_5_diff1": 0.3639287998557502,
|
47 |
+
"nauc_map_at_5_max": 0.29046081589915973,
|
48 |
+
"nauc_map_at_5_std": -0.0150391154964749,
|
49 |
+
"nauc_mrr_at_1000_diff1": 0.43898998213997864,
|
50 |
+
"nauc_mrr_at_1000_max": 0.356688952241998,
|
51 |
+
"nauc_mrr_at_1000_std": -0.019103601325945414,
|
52 |
+
"nauc_mrr_at_100_diff1": 0.43899463746675116,
|
53 |
+
"nauc_mrr_at_100_max": 0.3567232095267896,
|
54 |
+
"nauc_mrr_at_100_std": -0.01908249410095766,
|
55 |
+
"nauc_mrr_at_10_diff1": 0.4380133613648583,
|
56 |
+
"nauc_mrr_at_10_max": 0.35963278324407727,
|
57 |
+
"nauc_mrr_at_10_std": -0.019943373571629102,
|
58 |
+
"nauc_mrr_at_1_diff1": 0.45744567048708495,
|
59 |
+
"nauc_mrr_at_1_max": 0.3185087628600214,
|
60 |
+
"nauc_mrr_at_1_std": -0.039586670000522815,
|
61 |
+
"nauc_mrr_at_20_diff1": 0.43846580304956645,
|
62 |
+
"nauc_mrr_at_20_max": 0.3575530067448174,
|
63 |
+
"nauc_mrr_at_20_std": -0.01769537099436092,
|
64 |
+
"nauc_mrr_at_3_diff1": 0.43257374543992816,
|
65 |
+
"nauc_mrr_at_3_max": 0.3526088977070129,
|
66 |
+
"nauc_mrr_at_3_std": -0.031830883555102794,
|
67 |
+
"nauc_mrr_at_5_diff1": 0.4370843589532293,
|
68 |
+
"nauc_mrr_at_5_max": 0.35847116461695416,
|
69 |
+
"nauc_mrr_at_5_std": -0.022925984021903743,
|
70 |
+
"nauc_ndcg_at_1000_diff1": 0.3846228579932152,
|
71 |
+
"nauc_ndcg_at_1000_max": 0.3385203759660593,
|
72 |
+
"nauc_ndcg_at_1000_std": 0.025326913976533756,
|
73 |
+
"nauc_ndcg_at_100_diff1": 0.382922798833745,
|
74 |
+
"nauc_ndcg_at_100_max": 0.34072439256810394,
|
75 |
+
"nauc_ndcg_at_100_std": 0.030850535620277262,
|
76 |
+
"nauc_ndcg_at_10_diff1": 0.3664216836031285,
|
77 |
+
"nauc_ndcg_at_10_max": 0.3408465736838746,
|
78 |
+
"nauc_ndcg_at_10_std": 0.02028073320293512,
|
79 |
+
"nauc_ndcg_at_1_diff1": 0.45744567048708495,
|
80 |
+
"nauc_ndcg_at_1_max": 0.3185087628600214,
|
81 |
+
"nauc_ndcg_at_1_std": -0.039586670000522815,
|
82 |
+
"nauc_ndcg_at_20_diff1": 0.374660140644635,
|
83 |
+
"nauc_ndcg_at_20_max": 0.3448991496619514,
|
84 |
+
"nauc_ndcg_at_20_std": 0.03777121024339731,
|
85 |
+
"nauc_ndcg_at_3_diff1": 0.3740162479451307,
|
86 |
+
"nauc_ndcg_at_3_max": 0.30444229908458836,
|
87 |
+
"nauc_ndcg_at_3_std": -0.027354767912133024,
|
88 |
+
"nauc_ndcg_at_5_diff1": 0.37148180990292456,
|
89 |
+
"nauc_ndcg_at_5_max": 0.3232666768938328,
|
90 |
+
"nauc_ndcg_at_5_std": -0.005629486117054672,
|
91 |
+
"nauc_precision_at_1000_diff1": -0.07692478248741134,
|
92 |
+
"nauc_precision_at_1000_max": 0.10546345110161712,
|
93 |
+
"nauc_precision_at_1000_std": 0.09072980199575012,
|
94 |
+
"nauc_precision_at_100_diff1": -0.05544005240602762,
|
95 |
+
"nauc_precision_at_100_max": 0.14687673785864958,
|
96 |
+
"nauc_precision_at_100_std": 0.12306702671036018,
|
97 |
+
"nauc_precision_at_10_diff1": 0.0069682779710068254,
|
98 |
+
"nauc_precision_at_10_max": 0.25108941153969105,
|
99 |
+
"nauc_precision_at_10_std": 0.11151018137974626,
|
100 |
+
"nauc_precision_at_1_diff1": 0.45744567048708495,
|
101 |
+
"nauc_precision_at_1_max": 0.3185087628600214,
|
102 |
+
"nauc_precision_at_1_std": -0.039586670000522815,
|
103 |
+
"nauc_precision_at_20_diff1": -0.014568797025451129,
|
104 |
+
"nauc_precision_at_20_max": 0.22056869274585322,
|
105 |
+
"nauc_precision_at_20_std": 0.1484714192270009,
|
106 |
+
"nauc_precision_at_3_diff1": 0.16018213606544024,
|
107 |
+
"nauc_precision_at_3_max": 0.30585149317022786,
|
108 |
+
"nauc_precision_at_3_std": 0.008720314924668173,
|
109 |
+
"nauc_precision_at_5_diff1": 0.08676098234046163,
|
110 |
+
"nauc_precision_at_5_max": 0.28789719223139537,
|
111 |
+
"nauc_precision_at_5_std": 0.059939597328937146,
|
112 |
+
"nauc_recall_at_1000_diff1": 0.4355537994702468,
|
113 |
+
"nauc_recall_at_1000_max": 0.6211736142405392,
|
114 |
+
"nauc_recall_at_1000_std": 0.6889712140530266,
|
115 |
+
"nauc_recall_at_100_diff1": 0.3040181700049794,
|
116 |
+
"nauc_recall_at_100_max": 0.4278044235579686,
|
117 |
+
"nauc_recall_at_100_std": 0.34883596833238506,
|
118 |
+
"nauc_recall_at_10_diff1": 0.2662561079056947,
|
119 |
+
"nauc_recall_at_10_max": 0.37801380089849934,
|
120 |
+
"nauc_recall_at_10_std": 0.11158230029055471,
|
121 |
+
"nauc_recall_at_1_diff1": 0.4068781443901671,
|
122 |
+
"nauc_recall_at_1_max": 0.2069025852633963,
|
123 |
+
"nauc_recall_at_1_std": -0.028159099303659164,
|
124 |
+
"nauc_recall_at_20_diff1": 0.2807360018857007,
|
125 |
+
"nauc_recall_at_20_max": 0.40740384224903375,
|
126 |
+
"nauc_recall_at_20_std": 0.23705892616586494,
|
127 |
+
"nauc_recall_at_3_diff1": 0.31433810757274283,
|
128 |
+
"nauc_recall_at_3_max": 0.28054691827784783,
|
129 |
+
"nauc_recall_at_3_std": -0.03140434205104806,
|
130 |
+
"nauc_recall_at_5_diff1": 0.30352635635604164,
|
131 |
+
"nauc_recall_at_5_max": 0.32593953695023975,
|
132 |
+
"nauc_recall_at_5_std": 0.02104189655512243,
|
133 |
+
"ndcg_at_1": 0.55851,
|
134 |
+
"ndcg_at_10": 0.65167,
|
135 |
+
"ndcg_at_100": 0.69101,
|
136 |
+
"ndcg_at_1000": 0.69751,
|
137 |
+
"ndcg_at_20": 0.67121,
|
138 |
+
"ndcg_at_3": 0.58256,
|
139 |
+
"ndcg_at_5": 0.61573,
|
140 |
+
"precision_at_1": 0.55851,
|
141 |
+
"precision_at_10": 0.12784,
|
142 |
+
"precision_at_100": 0.01566,
|
143 |
+
"precision_at_1000": 0.00165,
|
144 |
+
"precision_at_20": 0.07004,
|
145 |
+
"precision_at_3": 0.31678,
|
146 |
+
"precision_at_5": 0.22021,
|
147 |
+
"recall_at_1": 0.39151,
|
148 |
+
"recall_at_10": 0.78596,
|
149 |
+
"recall_at_100": 0.94161,
|
150 |
+
"recall_at_1000": 0.98523,
|
151 |
+
"recall_at_20": 0.85088,
|
152 |
+
"recall_at_3": 0.61443,
|
153 |
+
"recall_at_5": 0.69258
|
154 |
+
}
|
155 |
+
]
|
156 |
+
},
|
157 |
+
"task_name": "RuBQRetrieval"
|
158 |
+
}
|
results/Alibaba-NLP__gte-Qwen1.5-7B-instruct/07d27e5226328010336563bc1b564a5e3436a298/RuReviewsClassification.json
ADDED
@@ -0,0 +1,73 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"dataset_revision": "f6d2c31f4dc6b88f468552750bfec05b4b41b05a",
|
3 |
+
"evaluation_time": 41.255961656570435,
|
4 |
+
"kg_co2_emissions": null,
|
5 |
+
"mteb_version": "1.19.2",
|
6 |
+
"scores": {
|
7 |
+
"test": [
|
8 |
+
{
|
9 |
+
"accuracy": 0.72890625,
|
10 |
+
"f1": 0.7231523669494578,
|
11 |
+
"f1_weighted": 0.7231535324344908,
|
12 |
+
"hf_subset": "default",
|
13 |
+
"languages": [
|
14 |
+
"rus-Cyrl"
|
15 |
+
],
|
16 |
+
"main_score": 0.72890625,
|
17 |
+
"scores_per_experiment": [
|
18 |
+
{
|
19 |
+
"accuracy": 0.7392578125,
|
20 |
+
"f1": 0.7374470623959578,
|
21 |
+
"f1_weighted": 0.7374483662714908
|
22 |
+
},
|
23 |
+
{
|
24 |
+
"accuracy": 0.71337890625,
|
25 |
+
"f1": 0.7025077487164691,
|
26 |
+
"f1_weighted": 0.7024996324421906
|
27 |
+
},
|
28 |
+
{
|
29 |
+
"accuracy": 0.7275390625,
|
30 |
+
"f1": 0.7181835375736103,
|
31 |
+
"f1_weighted": 0.7181760978819921
|
32 |
+
},
|
33 |
+
{
|
34 |
+
"accuracy": 0.744140625,
|
35 |
+
"f1": 0.7441710349655026,
|
36 |
+
"f1_weighted": 0.7441865289188956
|
37 |
+
},
|
38 |
+
{
|
39 |
+
"accuracy": 0.755859375,
|
40 |
+
"f1": 0.7578381803383026,
|
41 |
+
"f1_weighted": 0.7578548320823348
|
42 |
+
},
|
43 |
+
{
|
44 |
+
"accuracy": 0.7080078125,
|
45 |
+
"f1": 0.7018243857792056,
|
46 |
+
"f1_weighted": 0.7018253776860007
|
47 |
+
},
|
48 |
+
{
|
49 |
+
"accuracy": 0.71240234375,
|
50 |
+
"f1": 0.7081317089689931,
|
51 |
+
"f1_weighted": 0.7081352680570496
|
52 |
+
},
|
53 |
+
{
|
54 |
+
"accuracy": 0.74462890625,
|
55 |
+
"f1": 0.7422437769434015,
|
56 |
+
"f1_weighted": 0.7422450161497445
|
57 |
+
},
|
58 |
+
{
|
59 |
+
"accuracy": 0.70458984375,
|
60 |
+
"f1": 0.6812758637978081,
|
61 |
+
"f1_weighted": 0.6812528526304156
|
62 |
+
},
|
63 |
+
{
|
64 |
+
"accuracy": 0.7392578125,
|
65 |
+
"f1": 0.7379003700153285,
|
66 |
+
"f1_weighted": 0.7379113522247933
|
67 |
+
}
|
68 |
+
]
|
69 |
+
}
|
70 |
+
]
|
71 |
+
},
|
72 |
+
"task_name": "RuReviewsClassification"
|
73 |
+
}
|
results/Alibaba-NLP__gte-Qwen1.5-7B-instruct/07d27e5226328010336563bc1b564a5e3436a298/RuSTSBenchmarkSTS.json
ADDED
@@ -0,0 +1,26 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"dataset_revision": "7cf24f325c6da6195df55bef3d86b5e0616f3018",
|
3 |
+
"evaluation_time": 35.05771613121033,
|
4 |
+
"kg_co2_emissions": null,
|
5 |
+
"mteb_version": "1.19.2",
|
6 |
+
"scores": {
|
7 |
+
"test": [
|
8 |
+
{
|
9 |
+
"cosine_pearson": 0.8035423362397724,
|
10 |
+
"cosine_spearman": 0.8002815903929272,
|
11 |
+
"euclidean_pearson": 0.7871602467695,
|
12 |
+
"euclidean_spearman": 0.8002815903929272,
|
13 |
+
"hf_subset": "default",
|
14 |
+
"languages": [
|
15 |
+
"rus-Cyrl"
|
16 |
+
],
|
17 |
+
"main_score": 0.8002815903929272,
|
18 |
+
"manhattan_pearson": 0.7872361804712056,
|
19 |
+
"manhattan_spearman": 0.8006245387025261,
|
20 |
+
"pearson": 0.8035423362397724,
|
21 |
+
"spearman": 0.8002815903929272
|
22 |
+
}
|
23 |
+
]
|
24 |
+
},
|
25 |
+
"task_name": "RuSTSBenchmarkSTS"
|
26 |
+
}
|
results/Alibaba-NLP__gte-Qwen1.5-7B-instruct/07d27e5226328010336563bc1b564a5e3436a298/RuSciBenchGRNTIClassification.json
ADDED
@@ -0,0 +1,73 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"dataset_revision": "673a610d6d3dd91a547a0d57ae1b56f37ebbf6a1",
|
3 |
+
"evaluation_time": 175.38222646713257,
|
4 |
+
"kg_co2_emissions": null,
|
5 |
+
"mteb_version": "1.19.2",
|
6 |
+
"scores": {
|
7 |
+
"test": [
|
8 |
+
{
|
9 |
+
"accuracy": 0.67353515625,
|
10 |
+
"f1": 0.6605647875373758,
|
11 |
+
"f1_weighted": 0.6606887921446307,
|
12 |
+
"hf_subset": "default",
|
13 |
+
"languages": [
|
14 |
+
"rus-Cyrl"
|
15 |
+
],
|
16 |
+
"main_score": 0.67353515625,
|
17 |
+
"scores_per_experiment": [
|
18 |
+
{
|
19 |
+
"accuracy": 0.69287109375,
|
20 |
+
"f1": 0.6853943231009784,
|
21 |
+
"f1_weighted": 0.6855214162196541
|
22 |
+
},
|
23 |
+
{
|
24 |
+
"accuracy": 0.67333984375,
|
25 |
+
"f1": 0.6613774754925439,
|
26 |
+
"f1_weighted": 0.6614810808494207
|
27 |
+
},
|
28 |
+
{
|
29 |
+
"accuracy": 0.67529296875,
|
30 |
+
"f1": 0.6624714325077754,
|
31 |
+
"f1_weighted": 0.6626174476178033
|
32 |
+
},
|
33 |
+
{
|
34 |
+
"accuracy": 0.67333984375,
|
35 |
+
"f1": 0.6590053333191753,
|
36 |
+
"f1_weighted": 0.6591454969159511
|
37 |
+
},
|
38 |
+
{
|
39 |
+
"accuracy": 0.67822265625,
|
40 |
+
"f1": 0.6671696203557742,
|
41 |
+
"f1_weighted": 0.6672845357084765
|
42 |
+
},
|
43 |
+
{
|
44 |
+
"accuracy": 0.65869140625,
|
45 |
+
"f1": 0.6492278612017663,
|
46 |
+
"f1_weighted": 0.6492791748778237
|
47 |
+
},
|
48 |
+
{
|
49 |
+
"accuracy": 0.6806640625,
|
50 |
+
"f1": 0.6619317114695685,
|
51 |
+
"f1_weighted": 0.6621007634082923
|
52 |
+
},
|
53 |
+
{
|
54 |
+
"accuracy": 0.666015625,
|
55 |
+
"f1": 0.6511894116309452,
|
56 |
+
"f1_weighted": 0.6512824516783355
|
57 |
+
},
|
58 |
+
{
|
59 |
+
"accuracy": 0.68310546875,
|
60 |
+
"f1": 0.670518919029475,
|
61 |
+
"f1_weighted": 0.6706549028651936
|
62 |
+
},
|
63 |
+
{
|
64 |
+
"accuracy": 0.65380859375,
|
65 |
+
"f1": 0.6373617872657549,
|
66 |
+
"f1_weighted": 0.6375206513053561
|
67 |
+
}
|
68 |
+
]
|
69 |
+
}
|
70 |
+
]
|
71 |
+
},
|
72 |
+
"task_name": "RuSciBenchGRNTIClassification"
|
73 |
+
}
|
results/Alibaba-NLP__gte-Qwen1.5-7B-instruct/07d27e5226328010336563bc1b564a5e3436a298/RuSciBenchGRNTIClusteringP2P.json
ADDED
@@ -0,0 +1,34 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"dataset_revision": "673a610d6d3dd91a547a0d57ae1b56f37ebbf6a1",
|
3 |
+
"evaluation_time": 135.73782348632812,
|
4 |
+
"kg_co2_emissions": null,
|
5 |
+
"mteb_version": "1.19.2",
|
6 |
+
"scores": {
|
7 |
+
"test": [
|
8 |
+
{
|
9 |
+
"hf_subset": "default",
|
10 |
+
"languages": [
|
11 |
+
"rus-Cyrl"
|
12 |
+
],
|
13 |
+
"main_score": 0.6252845532865546,
|
14 |
+
"v_measure": 0.6252845532865546,
|
15 |
+
"v_measure_std": 0.007482042082035663,
|
16 |
+
"v_measures": {
|
17 |
+
"Level 0": [
|
18 |
+
0.6207489349333961,
|
19 |
+
0.6203220132070127,
|
20 |
+
0.6280279883408472,
|
21 |
+
0.6356338579930063,
|
22 |
+
0.6354055280425936,
|
23 |
+
0.63334127065613,
|
24 |
+
0.6229906966991013,
|
25 |
+
0.625483492226909,
|
26 |
+
0.6195526387184621,
|
27 |
+
0.611339112048087
|
28 |
+
]
|
29 |
+
}
|
30 |
+
}
|
31 |
+
]
|
32 |
+
},
|
33 |
+
"task_name": "RuSciBenchGRNTIClusteringP2P"
|
34 |
+
}
|
results/Alibaba-NLP__gte-Qwen1.5-7B-instruct/07d27e5226328010336563bc1b564a5e3436a298/RuSciBenchOECDClassification.json
ADDED
@@ -0,0 +1,73 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"dataset_revision": "26c88e99dcaba32bb45d0e1bfc21902337f6d471",
|
3 |
+
"evaluation_time": 167.4153139591217,
|
4 |
+
"kg_co2_emissions": null,
|
5 |
+
"mteb_version": "1.19.2",
|
6 |
+
"scores": {
|
7 |
+
"test": [
|
8 |
+
{
|
9 |
+
"accuracy": 0.54384765625,
|
10 |
+
"f1": 0.5179523478811618,
|
11 |
+
"f1_weighted": 0.5179488778224148,
|
12 |
+
"hf_subset": "default",
|
13 |
+
"languages": [
|
14 |
+
"rus-Cyrl"
|
15 |
+
],
|
16 |
+
"main_score": 0.54384765625,
|
17 |
+
"scores_per_experiment": [
|
18 |
+
{
|
19 |
+
"accuracy": 0.548828125,
|
20 |
+
"f1": 0.5239627248031066,
|
21 |
+
"f1_weighted": 0.5239497982202763
|
22 |
+
},
|
23 |
+
{
|
24 |
+
"accuracy": 0.54931640625,
|
25 |
+
"f1": 0.5271992304581379,
|
26 |
+
"f1_weighted": 0.5271890795585629
|
27 |
+
},
|
28 |
+
{
|
29 |
+
"accuracy": 0.5478515625,
|
30 |
+
"f1": 0.5219686975643086,
|
31 |
+
"f1_weighted": 0.5220594739324317
|
32 |
+
},
|
33 |
+
{
|
34 |
+
"accuracy": 0.5322265625,
|
35 |
+
"f1": 0.4922933125259625,
|
36 |
+
"f1_weighted": 0.49233519921194857
|
37 |
+
},
|
38 |
+
{
|
39 |
+
"accuracy": 0.55126953125,
|
40 |
+
"f1": 0.5237163168217409,
|
41 |
+
"f1_weighted": 0.5236558626083773
|
42 |
+
},
|
43 |
+
{
|
44 |
+
"accuracy": 0.56103515625,
|
45 |
+
"f1": 0.5399471841775259,
|
46 |
+
"f1_weighted": 0.5399500524748373
|
47 |
+
},
|
48 |
+
{
|
49 |
+
"accuracy": 0.53662109375,
|
50 |
+
"f1": 0.5037337634838176,
|
51 |
+
"f1_weighted": 0.5038136505311142
|
52 |
+
},
|
53 |
+
{
|
54 |
+
"accuracy": 0.5595703125,
|
55 |
+
"f1": 0.5426667594880292,
|
56 |
+
"f1_weighted": 0.5426221545649779
|
57 |
+
},
|
58 |
+
{
|
59 |
+
"accuracy": 0.51513671875,
|
60 |
+
"f1": 0.4886461135359976,
|
61 |
+
"f1_weighted": 0.4885845691306286
|
62 |
+
},
|
63 |
+
{
|
64 |
+
"accuracy": 0.53662109375,
|
65 |
+
"f1": 0.5153893759529918,
|
66 |
+
"f1_weighted": 0.5153289379909944
|
67 |
+
}
|
68 |
+
]
|
69 |
+
}
|
70 |
+
]
|
71 |
+
},
|
72 |
+
"task_name": "RuSciBenchOECDClassification"
|
73 |
+
}
|
results/Alibaba-NLP__gte-Qwen1.5-7B-instruct/07d27e5226328010336563bc1b564a5e3436a298/RuSciBenchOECDClusteringP2P.json
ADDED
@@ -0,0 +1,34 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"dataset_revision": "26c88e99dcaba32bb45d0e1bfc21902337f6d471",
|
3 |
+
"evaluation_time": 128.42090034484863,
|
4 |
+
"kg_co2_emissions": null,
|
5 |
+
"mteb_version": "1.19.2",
|
6 |
+
"scores": {
|
7 |
+
"test": [
|
8 |
+
{
|
9 |
+
"hf_subset": "default",
|
10 |
+
"languages": [
|
11 |
+
"rus-Cyrl"
|
12 |
+
],
|
13 |
+
"main_score": 0.5389131877733215,
|
14 |
+
"v_measure": 0.5389131877733215,
|
15 |
+
"v_measure_std": 0.007301076799965066,
|
16 |
+
"v_measures": {
|
17 |
+
"Level 0": [
|
18 |
+
0.5319407880397748,
|
19 |
+
0.5351366452965421,
|
20 |
+
0.5383348087959062,
|
21 |
+
0.5467699170735407,
|
22 |
+
0.5266030233104176,
|
23 |
+
0.5361547750555381,
|
24 |
+
0.550489123904105,
|
25 |
+
0.5340852555806267,
|
26 |
+
0.5414814687456001,
|
27 |
+
0.5481360719311642
|
28 |
+
]
|
29 |
+
}
|
30 |
+
}
|
31 |
+
]
|
32 |
+
},
|
33 |
+
"task_name": "RuSciBenchOECDClusteringP2P"
|
34 |
+
}
|
results/Alibaba-NLP__gte-Qwen1.5-7B-instruct/07d27e5226328010336563bc1b564a5e3436a298/STS22.json
ADDED
@@ -0,0 +1,26 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"dataset_revision": "de9d86b3b84231dc21f76c7b7af1f28e2f57f6e3",
|
3 |
+
"evaluation_time": 22.604440450668335,
|
4 |
+
"kg_co2_emissions": null,
|
5 |
+
"mteb_version": "1.19.2",
|
6 |
+
"scores": {
|
7 |
+
"test": [
|
8 |
+
{
|
9 |
+
"cosine_pearson": 0.5058567549374162,
|
10 |
+
"cosine_spearman": 0.6037052355031338,
|
11 |
+
"euclidean_pearson": 0.5116237069159542,
|
12 |
+
"euclidean_spearman": 0.6037052355031338,
|
13 |
+
"hf_subset": "ru",
|
14 |
+
"languages": [
|
15 |
+
"rus-Cyrl"
|
16 |
+
],
|
17 |
+
"main_score": 0.6037052355031338,
|
18 |
+
"manhattan_pearson": 0.5174886232911461,
|
19 |
+
"manhattan_spearman": 0.6042484038697743,
|
20 |
+
"pearson": 0.5058567549374162,
|
21 |
+
"spearman": 0.6037052355031338
|
22 |
+
}
|
23 |
+
]
|
24 |
+
},
|
25 |
+
"task_name": "STS22"
|
26 |
+
}
|
results/Alibaba-NLP__gte-Qwen1.5-7B-instruct/07d27e5226328010336563bc1b564a5e3436a298/SensitiveTopicsClassification.json
ADDED
@@ -0,0 +1,73 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"dataset_revision": "416b34a802308eac30e4192afc0ff99bb8dcc7f2",
|
3 |
+
"evaluation_time": 62.089826345443726,
|
4 |
+
"kg_co2_emissions": null,
|
5 |
+
"mteb_version": "1.19.2",
|
6 |
+
"scores": {
|
7 |
+
"test": [
|
8 |
+
{
|
9 |
+
"accuracy": 0.356201171875,
|
10 |
+
"f1": 0.44647781989896557,
|
11 |
+
"hf_subset": "default",
|
12 |
+
"languages": [
|
13 |
+
"rus-Cyrl"
|
14 |
+
],
|
15 |
+
"lrap": 0.5571139865451369,
|
16 |
+
"main_score": 0.356201171875,
|
17 |
+
"scores_per_experiment": [
|
18 |
+
{
|
19 |
+
"accuracy": 0.37451171875,
|
20 |
+
"f1": 0.45808689195543106,
|
21 |
+
"lrap": 0.5513780381944424
|
22 |
+
},
|
23 |
+
{
|
24 |
+
"accuracy": 0.35107421875,
|
25 |
+
"f1": 0.4430090517169707,
|
26 |
+
"lrap": 0.5574951171874984
|
27 |
+
},
|
28 |
+
{
|
29 |
+
"accuracy": 0.35107421875,
|
30 |
+
"f1": 0.4124270308941054,
|
31 |
+
"lrap": 0.5223117404513843
|
32 |
+
},
|
33 |
+
{
|
34 |
+
"accuracy": 0.365234375,
|
35 |
+
"f1": 0.4369513135160103,
|
36 |
+
"lrap": 0.5480957031249971
|
37 |
+
},
|
38 |
+
{
|
39 |
+
"accuracy": 0.34130859375,
|
40 |
+
"f1": 0.46223531801542667,
|
41 |
+
"lrap": 0.5410970052083304
|
42 |
+
},
|
43 |
+
{
|
44 |
+
"accuracy": 0.34326171875,
|
45 |
+
"f1": 0.4408524141069843,
|
46 |
+
"lrap": 0.5684611002604157
|
47 |
+
},
|
48 |
+
{
|
49 |
+
"accuracy": 0.35498046875,
|
50 |
+
"f1": 0.44616716252905764,
|
51 |
+
"lrap": 0.5566880967881925
|
52 |
+
},
|
53 |
+
{
|
54 |
+
"accuracy": 0.34912109375,
|
55 |
+
"f1": 0.44250290450356894,
|
56 |
+
"lrap": 0.5585801866319432
|
57 |
+
},
|
58 |
+
{
|
59 |
+
"accuracy": 0.3662109375,
|
60 |
+
"f1": 0.4479884575085484,
|
61 |
+
"lrap": 0.5710449218749987
|
62 |
+
},
|
63 |
+
{
|
64 |
+
"accuracy": 0.365234375,
|
65 |
+
"f1": 0.47455765424355256,
|
66 |
+
"lrap": 0.5959879557291672
|
67 |
+
}
|
68 |
+
]
|
69 |
+
}
|
70 |
+
]
|
71 |
+
},
|
72 |
+
"task_name": "SensitiveTopicsClassification"
|
73 |
+
}
|
results/Alibaba-NLP__gte-Qwen1.5-7B-instruct/07d27e5226328010336563bc1b564a5e3436a298/TERRa.json
ADDED
@@ -0,0 +1,58 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"dataset_revision": "7b58f24536063837d644aab9a023c62199b2a612",
|
3 |
+
"evaluation_time": 8.901613235473633,
|
4 |
+
"kg_co2_emissions": null,
|
5 |
+
"mteb_version": "1.19.2",
|
6 |
+
"scores": {
|
7 |
+
"dev": [
|
8 |
+
{
|
9 |
+
"cosine_accuracy": 0.6872964169381107,
|
10 |
+
"cosine_accuracy_threshold": 0.6442170143127441,
|
11 |
+
"cosine_ap": 0.6944446593807762,
|
12 |
+
"cosine_f1": 0.7163323782234956,
|
13 |
+
"cosine_f1_threshold": 0.6143864393234253,
|
14 |
+
"cosine_precision": 0.6377551020408163,
|
15 |
+
"cosine_recall": 0.8169934640522876,
|
16 |
+
"dot_accuracy": 0.6872964169381107,
|
17 |
+
"dot_accuracy_threshold": 0.6442172527313232,
|
18 |
+
"dot_ap": 0.6944446593807762,
|
19 |
+
"dot_f1": 0.7163323782234956,
|
20 |
+
"dot_f1_threshold": 0.6143864393234253,
|
21 |
+
"dot_precision": 0.6377551020408163,
|
22 |
+
"dot_recall": 0.8169934640522876,
|
23 |
+
"euclidean_accuracy": 0.6872964169381107,
|
24 |
+
"euclidean_accuracy_threshold": 0.8435434699058533,
|
25 |
+
"euclidean_ap": 0.6944446593807762,
|
26 |
+
"euclidean_f1": 0.7163323782234956,
|
27 |
+
"euclidean_f1_threshold": 0.8781953454017639,
|
28 |
+
"euclidean_precision": 0.6377551020408163,
|
29 |
+
"euclidean_recall": 0.8169934640522876,
|
30 |
+
"hf_subset": "default",
|
31 |
+
"languages": [
|
32 |
+
"rus-Cyrl"
|
33 |
+
],
|
34 |
+
"main_score": 0.6949609366786602,
|
35 |
+
"manhattan_accuracy": 0.6905537459283387,
|
36 |
+
"manhattan_accuracy_threshold": 42.73845672607422,
|
37 |
+
"manhattan_ap": 0.6949609366786602,
|
38 |
+
"manhattan_f1": 0.7191011235955056,
|
39 |
+
"manhattan_f1_threshold": 44.631561279296875,
|
40 |
+
"manhattan_precision": 0.6305418719211823,
|
41 |
+
"manhattan_recall": 0.8366013071895425,
|
42 |
+
"max_accuracy": 0.6905537459283387,
|
43 |
+
"max_ap": 0.6949609366786602,
|
44 |
+
"max_f1": 0.7191011235955056,
|
45 |
+
"max_precision": 0.6377551020408163,
|
46 |
+
"max_recall": 0.8366013071895425,
|
47 |
+
"similarity_accuracy": 0.6872964169381107,
|
48 |
+
"similarity_accuracy_threshold": 0.6442170143127441,
|
49 |
+
"similarity_ap": 0.6944446593807762,
|
50 |
+
"similarity_f1": 0.7163323782234956,
|
51 |
+
"similarity_f1_threshold": 0.6143864393234253,
|
52 |
+
"similarity_precision": 0.6377551020408163,
|
53 |
+
"similarity_recall": 0.8169934640522876
|
54 |
+
}
|
55 |
+
]
|
56 |
+
},
|
57 |
+
"task_name": "TERRa"
|
58 |
+
}
|
results/Alibaba-NLP__gte-Qwen1.5-7B-instruct/07d27e5226328010336563bc1b564a5e3436a298/model_meta.json
ADDED
@@ -0,0 +1 @@
|
|
|
|
|
1 |
+
{"name": "Alibaba-NLP/gte-Qwen1.5-7B-instruct", "revision": "07d27e5226328010336563bc1b564a5e3436a298", "release_date": "2024-04-20", "languages": ["eng_Latn"], "n_parameters": 7720000000, "memory_usage": null, "max_tokens": 32768, "embed_dim": 4096, "license": "apache-2.0", "open_weights": true, "public_training_data": null, "public_training_code": null, "framework": ["Sentence Transformers", "PyTorch"], "reference": "https://huggingface.co/Alibaba-NLP/gte-Qwen1.5-7B-instruct", "similarity_fn_name": "cosine", "use_instructions": true, "zero_shot_benchmarks": null, "loader": "instruct_wrapper"}
|
results/Alibaba-NLP__gte-Qwen2-1.5B-instruct/c6c1b92f4a3e1b92b326ad29dd3c8433457df8dd/CEDRClassification.json
ADDED
@@ -0,0 +1,73 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"dataset_revision": "c0ba03d058e3e1b2f3fd20518875a4563dd12db4",
|
3 |
+
"evaluation_time": 37.375492095947266,
|
4 |
+
"kg_co2_emissions": null,
|
5 |
+
"mteb_version": "1.19.2",
|
6 |
+
"scores": {
|
7 |
+
"test": [
|
8 |
+
{
|
9 |
+
"accuracy": 0.5298087141339002,
|
10 |
+
"f1": 0.5463940656491209,
|
11 |
+
"hf_subset": "default",
|
12 |
+
"languages": [
|
13 |
+
"rus-Cyrl"
|
14 |
+
],
|
15 |
+
"lrap": 0.7920270988310386,
|
16 |
+
"main_score": 0.5298087141339002,
|
17 |
+
"scores_per_experiment": [
|
18 |
+
{
|
19 |
+
"accuracy": 0.5324123273113709,
|
20 |
+
"f1": 0.5592166227592935,
|
21 |
+
"lrap": 0.8064293304994756
|
22 |
+
},
|
23 |
+
{
|
24 |
+
"accuracy": 0.5371944739638682,
|
25 |
+
"f1": 0.5142188501636664,
|
26 |
+
"lrap": 0.7502656748140369
|
27 |
+
},
|
28 |
+
{
|
29 |
+
"accuracy": 0.5159404888416578,
|
30 |
+
"f1": 0.5160018563245181,
|
31 |
+
"lrap": 0.7749468650372026
|
32 |
+
},
|
33 |
+
{
|
34 |
+
"accuracy": 0.5069075451647184,
|
35 |
+
"f1": 0.5878196176254,
|
36 |
+
"lrap": 0.8408076514346504
|
37 |
+
},
|
38 |
+
{
|
39 |
+
"accuracy": 0.5696068012752391,
|
40 |
+
"f1": 0.5584886229071322,
|
41 |
+
"lrap": 0.7752391073326336
|
42 |
+
},
|
43 |
+
{
|
44 |
+
"accuracy": 0.485653560042508,
|
45 |
+
"f1": 0.4924472291345112,
|
46 |
+
"lrap": 0.7523379383634526
|
47 |
+
},
|
48 |
+
{
|
49 |
+
"accuracy": 0.5717321997874601,
|
50 |
+
"f1": 0.5654779582641724,
|
51 |
+
"lrap": 0.8140807651434716
|
52 |
+
},
|
53 |
+
{
|
54 |
+
"accuracy": 0.5696068012752391,
|
55 |
+
"f1": 0.5883934067765482,
|
56 |
+
"lrap": 0.8068012752391147
|
57 |
+
},
|
58 |
+
{
|
59 |
+
"accuracy": 0.5223166843783209,
|
60 |
+
"f1": 0.5640478579144856,
|
61 |
+
"lrap": 0.8112646121147783
|
62 |
+
},
|
63 |
+
{
|
64 |
+
"accuracy": 0.4867162592986185,
|
65 |
+
"f1": 0.5178286346214805,
|
66 |
+
"lrap": 0.7880977683315701
|
67 |
+
}
|
68 |
+
]
|
69 |
+
}
|
70 |
+
]
|
71 |
+
},
|
72 |
+
"task_name": "CEDRClassification"
|
73 |
+
}
|
results/Alibaba-NLP__gte-Qwen2-1.5B-instruct/c6c1b92f4a3e1b92b326ad29dd3c8433457df8dd/GeoreviewClassification.json
ADDED
@@ -0,0 +1,73 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"dataset_revision": "3765c0d1de6b7d264bc459433c45e5a75513839c",
|
3 |
+
"evaluation_time": 44.132378578186035,
|
4 |
+
"kg_co2_emissions": null,
|
5 |
+
"mteb_version": "1.19.2",
|
6 |
+
"scores": {
|
7 |
+
"test": [
|
8 |
+
{
|
9 |
+
"accuracy": 0.566259765625,
|
10 |
+
"f1": 0.539998920872917,
|
11 |
+
"f1_weighted": 0.5399549345605024,
|
12 |
+
"hf_subset": "default",
|
13 |
+
"languages": [
|
14 |
+
"rus-Cyrl"
|
15 |
+
],
|
16 |
+
"main_score": 0.566259765625,
|
17 |
+
"scores_per_experiment": [
|
18 |
+
{
|
19 |
+
"accuracy": 0.5322265625,
|
20 |
+
"f1": 0.48139864060427257,
|
21 |
+
"f1_weighted": 0.48132232760263777
|
22 |
+
},
|
23 |
+
{
|
24 |
+
"accuracy": 0.55029296875,
|
25 |
+
"f1": 0.5171318055563247,
|
26 |
+
"f1_weighted": 0.5170278436369578
|
27 |
+
},
|
28 |
+
{
|
29 |
+
"accuracy": 0.572265625,
|
30 |
+
"f1": 0.5486234952018896,
|
31 |
+
"f1_weighted": 0.5485959201625947
|
32 |
+
},
|
33 |
+
{
|
34 |
+
"accuracy": 0.58935546875,
|
35 |
+
"f1": 0.5722936933773077,
|
36 |
+
"f1_weighted": 0.5722547203160783
|
37 |
+
},
|
38 |
+
{
|
39 |
+
"accuracy": 0.56494140625,
|
40 |
+
"f1": 0.5388546516897115,
|
41 |
+
"f1_weighted": 0.5387814083242941
|
42 |
+
},
|
43 |
+
{
|
44 |
+
"accuracy": 0.56591796875,
|
45 |
+
"f1": 0.5462138892057763,
|
46 |
+
"f1_weighted": 0.5462178843455513
|
47 |
+
},
|
48 |
+
{
|
49 |
+
"accuracy": 0.59375,
|
50 |
+
"f1": 0.5773603022597097,
|
51 |
+
"f1_weighted": 0.5773082361244717
|
52 |
+
},
|
53 |
+
{
|
54 |
+
"accuracy": 0.59521484375,
|
55 |
+
"f1": 0.5751009322819041,
|
56 |
+
"f1_weighted": 0.5750472483732044
|
57 |
+
},
|
58 |
+
{
|
59 |
+
"accuracy": 0.56201171875,
|
60 |
+
"f1": 0.5491981623674013,
|
61 |
+
"f1_weighted": 0.5491716229160677
|
62 |
+
},
|
63 |
+
{
|
64 |
+
"accuracy": 0.53662109375,
|
65 |
+
"f1": 0.4938136361848744,
|
66 |
+
"f1_weighted": 0.4938221338031655
|
67 |
+
}
|
68 |
+
]
|
69 |
+
}
|
70 |
+
]
|
71 |
+
},
|
72 |
+
"task_name": "GeoreviewClassification"
|
73 |
+
}
|
results/Alibaba-NLP__gte-Qwen2-1.5B-instruct/c6c1b92f4a3e1b92b326ad29dd3c8433457df8dd/GeoreviewClusteringP2P.json
ADDED
@@ -0,0 +1,34 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"dataset_revision": "97a313c8fc85b47f13f33e7e9a95c1ad888c7fec",
|
3 |
+
"evaluation_time": 114.29212379455566,
|
4 |
+
"kg_co2_emissions": null,
|
5 |
+
"mteb_version": "1.19.2",
|
6 |
+
"scores": {
|
7 |
+
"test": [
|
8 |
+
{
|
9 |
+
"hf_subset": "default",
|
10 |
+
"languages": [
|
11 |
+
"rus-Cyrl"
|
12 |
+
],
|
13 |
+
"main_score": 0.7297991176715518,
|
14 |
+
"v_measure": 0.7297991176715518,
|
15 |
+
"v_measure_std": 0.007350022319590748,
|
16 |
+
"v_measures": {
|
17 |
+
"Level 0": [
|
18 |
+
0.7279130356072366,
|
19 |
+
0.7248414099889655,
|
20 |
+
0.7388993666959305,
|
21 |
+
0.7345422035157355,
|
22 |
+
0.726717152537628,
|
23 |
+
0.7284265796154791,
|
24 |
+
0.7278873043269999,
|
25 |
+
0.737814237240807,
|
26 |
+
0.7134311856739789,
|
27 |
+
0.7375187015127566
|
28 |
+
]
|
29 |
+
}
|
30 |
+
}
|
31 |
+
]
|
32 |
+
},
|
33 |
+
"task_name": "GeoreviewClusteringP2P"
|
34 |
+
}
|
results/Alibaba-NLP__gte-Qwen2-1.5B-instruct/c6c1b92f4a3e1b92b326ad29dd3c8433457df8dd/HeadlineClassification.json
ADDED
@@ -0,0 +1,73 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"dataset_revision": "2fe05ee6b5832cda29f2ef7aaad7b7fe6a3609eb",
|
3 |
+
"evaluation_time": 38.52833533287048,
|
4 |
+
"kg_co2_emissions": null,
|
5 |
+
"mteb_version": "1.19.2",
|
6 |
+
"scores": {
|
7 |
+
"test": [
|
8 |
+
{
|
9 |
+
"accuracy": 0.84658203125,
|
10 |
+
"f1": 0.8465626481246808,
|
11 |
+
"f1_weighted": 0.8465499669959881,
|
12 |
+
"hf_subset": "default",
|
13 |
+
"languages": [
|
14 |
+
"rus-Cyrl"
|
15 |
+
],
|
16 |
+
"main_score": 0.84658203125,
|
17 |
+
"scores_per_experiment": [
|
18 |
+
{
|
19 |
+
"accuracy": 0.84814453125,
|
20 |
+
"f1": 0.8485091881722077,
|
21 |
+
"f1_weighted": 0.8484974187341153
|
22 |
+
},
|
23 |
+
{
|
24 |
+
"accuracy": 0.8564453125,
|
25 |
+
"f1": 0.8562652364651577,
|
26 |
+
"f1_weighted": 0.8562614677431917
|
27 |
+
},
|
28 |
+
{
|
29 |
+
"accuracy": 0.8486328125,
|
30 |
+
"f1": 0.8490051951829197,
|
31 |
+
"f1_weighted": 0.8489889619466362
|
32 |
+
},
|
33 |
+
{
|
34 |
+
"accuracy": 0.8525390625,
|
35 |
+
"f1": 0.8523523149025521,
|
36 |
+
"f1_weighted": 0.8523375830518336
|
37 |
+
},
|
38 |
+
{
|
39 |
+
"accuracy": 0.84814453125,
|
40 |
+
"f1": 0.8483947141083181,
|
41 |
+
"f1_weighted": 0.8483837276823756
|
42 |
+
},
|
43 |
+
{
|
44 |
+
"accuracy": 0.83837890625,
|
45 |
+
"f1": 0.8384119855111208,
|
46 |
+
"f1_weighted": 0.8383923360706916
|
47 |
+
},
|
48 |
+
{
|
49 |
+
"accuracy": 0.830078125,
|
50 |
+
"f1": 0.8300623133965269,
|
51 |
+
"f1_weighted": 0.8300509323362059
|
52 |
+
},
|
53 |
+
{
|
54 |
+
"accuracy": 0.849609375,
|
55 |
+
"f1": 0.8494263136535779,
|
56 |
+
"f1_weighted": 0.8494137196241152
|
57 |
+
},
|
58 |
+
{
|
59 |
+
"accuracy": 0.845703125,
|
60 |
+
"f1": 0.8454667379622213,
|
61 |
+
"f1_weighted": 0.8454593599599951
|
62 |
+
},
|
63 |
+
{
|
64 |
+
"accuracy": 0.84814453125,
|
65 |
+
"f1": 0.8477324818922055,
|
66 |
+
"f1_weighted": 0.8477141628107198
|
67 |
+
}
|
68 |
+
]
|
69 |
+
}
|
70 |
+
]
|
71 |
+
},
|
72 |
+
"task_name": "HeadlineClassification"
|
73 |
+
}
|
results/Alibaba-NLP__gte-Qwen2-1.5B-instruct/c6c1b92f4a3e1b92b326ad29dd3c8433457df8dd/InappropriatenessClassification.json
ADDED
@@ -0,0 +1,95 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"dataset_revision": "601651fdc45ef243751676e62dd7a19f491c0285",
|
3 |
+
"evaluation_time": 34.62934637069702,
|
4 |
+
"kg_co2_emissions": null,
|
5 |
+
"mteb_version": "1.19.2",
|
6 |
+
"scores": {
|
7 |
+
"test": [
|
8 |
+
{
|
9 |
+
"accuracy": 0.6583984375,
|
10 |
+
"ap": 0.6087707151727988,
|
11 |
+
"ap_weighted": 0.6087707151727988,
|
12 |
+
"f1": 0.6559072716864514,
|
13 |
+
"f1_weighted": 0.6559072716864514,
|
14 |
+
"hf_subset": "default",
|
15 |
+
"languages": [
|
16 |
+
"rus-Cyrl"
|
17 |
+
],
|
18 |
+
"main_score": 0.6583984375,
|
19 |
+
"scores_per_experiment": [
|
20 |
+
{
|
21 |
+
"accuracy": 0.703125,
|
22 |
+
"ap": 0.6493566176470589,
|
23 |
+
"ap_weighted": 0.6493566176470589,
|
24 |
+
"f1": 0.7017311886064257,
|
25 |
+
"f1_weighted": 0.7017311886064257
|
26 |
+
},
|
27 |
+
{
|
28 |
+
"accuracy": 0.7041015625,
|
29 |
+
"ap": 0.6430673452524038,
|
30 |
+
"ap_weighted": 0.6430673452524038,
|
31 |
+
"f1": 0.7040835011902582,
|
32 |
+
"f1_weighted": 0.7040835011902582
|
33 |
+
},
|
34 |
+
{
|
35 |
+
"accuracy": 0.68603515625,
|
36 |
+
"ap": 0.6355622327055823,
|
37 |
+
"ap_weighted": 0.6355622327055823,
|
38 |
+
"f1": 0.6832804090024996,
|
39 |
+
"f1_weighted": 0.6832804090024996
|
40 |
+
},
|
41 |
+
{
|
42 |
+
"accuracy": 0.59716796875,
|
43 |
+
"ap": 0.557907236921408,
|
44 |
+
"ap_weighted": 0.557907236921408,
|
45 |
+
"f1": 0.5971517368897281,
|
46 |
+
"f1_weighted": 0.5971517368897281
|
47 |
+
},
|
48 |
+
{
|
49 |
+
"accuracy": 0.64501953125,
|
50 |
+
"ap": 0.5957410497572816,
|
51 |
+
"ap_weighted": 0.5957410497572816,
|
52 |
+
"f1": 0.64422142013121,
|
53 |
+
"f1_weighted": 0.64422142013121
|
54 |
+
},
|
55 |
+
{
|
56 |
+
"accuracy": 0.6181640625,
|
57 |
+
"ap": 0.5703048346742543,
|
58 |
+
"ap_weighted": 0.5703048346742543,
|
59 |
+
"f1": 0.6123881965359441,
|
60 |
+
"f1_weighted": 0.6123881965359441
|
61 |
+
},
|
62 |
+
{
|
63 |
+
"accuracy": 0.662109375,
|
64 |
+
"ap": 0.6207451834439528,
|
65 |
+
"ap_weighted": 0.6207451834439528,
|
66 |
+
"f1": 0.6521817665982426,
|
67 |
+
"f1_weighted": 0.6521817665982426
|
68 |
+
},
|
69 |
+
{
|
70 |
+
"accuracy": 0.65673828125,
|
71 |
+
"ap": 0.6002633914001305,
|
72 |
+
"ap_weighted": 0.6002633914001305,
|
73 |
+
"f1": 0.65545475017344,
|
74 |
+
"f1_weighted": 0.65545475017344
|
75 |
+
},
|
76 |
+
{
|
77 |
+
"accuracy": 0.68798828125,
|
78 |
+
"ap": 0.6360240409044715,
|
79 |
+
"ap_weighted": 0.6360240409044715,
|
80 |
+
"f1": 0.68599922979748,
|
81 |
+
"f1_weighted": 0.68599922979748
|
82 |
+
},
|
83 |
+
{
|
84 |
+
"accuracy": 0.62353515625,
|
85 |
+
"ap": 0.5787352190214441,
|
86 |
+
"ap_weighted": 0.5787352190214441,
|
87 |
+
"f1": 0.6225805179392857,
|
88 |
+
"f1_weighted": 0.6225805179392857
|
89 |
+
}
|
90 |
+
]
|
91 |
+
}
|
92 |
+
]
|
93 |
+
},
|
94 |
+
"task_name": "InappropriatenessClassification"
|
95 |
+
}
|
results/Alibaba-NLP__gte-Qwen2-1.5B-instruct/c6c1b92f4a3e1b92b326ad29dd3c8433457df8dd/KinopoiskClassification.json
ADDED
@@ -0,0 +1,73 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"dataset_revision": "5911f26666ac11af46cb9c6849d0dc80a378af24",
|
3 |
+
"evaluation_time": 29.96605682373047,
|
4 |
+
"kg_co2_emissions": null,
|
5 |
+
"mteb_version": "1.19.2",
|
6 |
+
"scores": {
|
7 |
+
"test": [
|
8 |
+
{
|
9 |
+
"accuracy": 0.6805333333333333,
|
10 |
+
"f1": 0.6573794252818923,
|
11 |
+
"f1_weighted": 0.6573794252818923,
|
12 |
+
"hf_subset": "default",
|
13 |
+
"languages": [
|
14 |
+
"rus-Cyrl"
|
15 |
+
],
|
16 |
+
"main_score": 0.6805333333333333,
|
17 |
+
"scores_per_experiment": [
|
18 |
+
{
|
19 |
+
"accuracy": 0.678,
|
20 |
+
"f1": 0.6377280766051289,
|
21 |
+
"f1_weighted": 0.6377280766051289
|
22 |
+
},
|
23 |
+
{
|
24 |
+
"accuracy": 0.6746666666666666,
|
25 |
+
"f1": 0.6409336771730031,
|
26 |
+
"f1_weighted": 0.6409336771730032
|
27 |
+
},
|
28 |
+
{
|
29 |
+
"accuracy": 0.6866666666666666,
|
30 |
+
"f1": 0.6739421240857763,
|
31 |
+
"f1_weighted": 0.6739421240857763
|
32 |
+
},
|
33 |
+
{
|
34 |
+
"accuracy": 0.6826666666666666,
|
35 |
+
"f1": 0.6463135295490857,
|
36 |
+
"f1_weighted": 0.6463135295490857
|
37 |
+
},
|
38 |
+
{
|
39 |
+
"accuracy": 0.6713333333333333,
|
40 |
+
"f1": 0.6548412802291479,
|
41 |
+
"f1_weighted": 0.6548412802291479
|
42 |
+
},
|
43 |
+
{
|
44 |
+
"accuracy": 0.6806666666666666,
|
45 |
+
"f1": 0.6681098025787601,
|
46 |
+
"f1_weighted": 0.6681098025787601
|
47 |
+
},
|
48 |
+
{
|
49 |
+
"accuracy": 0.684,
|
50 |
+
"f1": 0.6617613091645753,
|
51 |
+
"f1_weighted": 0.6617613091645753
|
52 |
+
},
|
53 |
+
{
|
54 |
+
"accuracy": 0.6793333333333333,
|
55 |
+
"f1": 0.6670307794205573,
|
56 |
+
"f1_weighted": 0.6670307794205573
|
57 |
+
},
|
58 |
+
{
|
59 |
+
"accuracy": 0.6773333333333333,
|
60 |
+
"f1": 0.6493045481410312,
|
61 |
+
"f1_weighted": 0.6493045481410311
|
62 |
+
},
|
63 |
+
{
|
64 |
+
"accuracy": 0.6906666666666667,
|
65 |
+
"f1": 0.673829125871857,
|
66 |
+
"f1_weighted": 0.673829125871857
|
67 |
+
}
|
68 |
+
]
|
69 |
+
}
|
70 |
+
]
|
71 |
+
},
|
72 |
+
"task_name": "KinopoiskClassification"
|
73 |
+
}
|
results/Alibaba-NLP__gte-Qwen2-1.5B-instruct/c6c1b92f4a3e1b92b326ad29dd3c8433457df8dd/MIRACLReranking.json
ADDED
@@ -0,0 +1,130 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"dataset_revision": "6d1962c527217f8927fca80f890f14f36b2802af",
|
3 |
+
"evaluation_time": 1758.0768535137177,
|
4 |
+
"kg_co2_emissions": null,
|
5 |
+
"mteb_version": "1.19.2",
|
6 |
+
"scores": {
|
7 |
+
"dev": [
|
8 |
+
{
|
9 |
+
"MAP@1(MIRACL)": 0.346,
|
10 |
+
"MAP@10(MIRACL)": 0.54471,
|
11 |
+
"MAP@100(MIRACL)": 0.56152,
|
12 |
+
"MAP@1000(MIRACL)": 0.56152,
|
13 |
+
"MAP@20(MIRACL)": 0.55649,
|
14 |
+
"MAP@3(MIRACL)": 0.47676,
|
15 |
+
"MAP@5(MIRACL)": 0.51176,
|
16 |
+
"NDCG@1(MIRACL)": 0.57578,
|
17 |
+
"NDCG@10(MIRACL)": 0.61465,
|
18 |
+
"NDCG@100(MIRACL)": 0.64874,
|
19 |
+
"NDCG@1000(MIRACL)": 0.64874,
|
20 |
+
"NDCG@20(MIRACL)": 0.63527,
|
21 |
+
"NDCG@3(MIRACL)": 0.56695,
|
22 |
+
"NDCG@5(MIRACL)": 0.58104,
|
23 |
+
"P@1(MIRACL)": 0.57578,
|
24 |
+
"P@10(MIRACL)": 0.15822,
|
25 |
+
"P@100(MIRACL)": 0.01953,
|
26 |
+
"P@1000(MIRACL)": 0.00195,
|
27 |
+
"P@20(MIRACL)": 0.08877,
|
28 |
+
"P@3(MIRACL)": 0.34937,
|
29 |
+
"P@5(MIRACL)": 0.25453,
|
30 |
+
"Recall@1(MIRACL)": 0.346,
|
31 |
+
"Recall@10(MIRACL)": 0.69763,
|
32 |
+
"Recall@100(MIRACL)": 0.79952,
|
33 |
+
"Recall@1000(MIRACL)": 0.79952,
|
34 |
+
"Recall@20(MIRACL)": 0.75403,
|
35 |
+
"Recall@3(MIRACL)": 0.53613,
|
36 |
+
"Recall@5(MIRACL)": 0.60934,
|
37 |
+
"hf_subset": "ru",
|
38 |
+
"languages": [
|
39 |
+
"rus-Cyrl"
|
40 |
+
],
|
41 |
+
"main_score": 0.61465,
|
42 |
+
"nAUC_MAP@1000_diff1(MIRACL)": 0.05844585273238183,
|
43 |
+
"nAUC_MAP@1000_max(MIRACL)": 0.34724373194542624,
|
44 |
+
"nAUC_MAP@1000_std(MIRACL)": 0.14760716736478258,
|
45 |
+
"nAUC_MAP@100_diff1(MIRACL)": 0.05844585273238183,
|
46 |
+
"nAUC_MAP@100_max(MIRACL)": 0.34724373194542624,
|
47 |
+
"nAUC_MAP@100_std(MIRACL)": 0.14760716736478258,
|
48 |
+
"nAUC_MAP@10_diff1(MIRACL)": 0.0732187899791395,
|
49 |
+
"nAUC_MAP@10_max(MIRACL)": 0.33165340876637167,
|
50 |
+
"nAUC_MAP@10_std(MIRACL)": 0.13961470279685959,
|
51 |
+
"nAUC_MAP@1_diff1(MIRACL)": 0.26164679559463233,
|
52 |
+
"nAUC_MAP@1_max(MIRACL)": 0.1757816625864153,
|
53 |
+
"nAUC_MAP@1_std(MIRACL)": 0.03927142319306305,
|
54 |
+
"nAUC_MAP@20_diff1(MIRACL)": 0.06254085023812561,
|
55 |
+
"nAUC_MAP@20_max(MIRACL)": 0.34130843137634587,
|
56 |
+
"nAUC_MAP@20_std(MIRACL)": 0.14785631770279759,
|
57 |
+
"nAUC_MAP@3_diff1(MIRACL)": 0.12825900860644904,
|
58 |
+
"nAUC_MAP@3_max(MIRACL)": 0.27314510688262283,
|
59 |
+
"nAUC_MAP@3_std(MIRACL)": 0.09660602237538976,
|
60 |
+
"nAUC_MAP@5_diff1(MIRACL)": 0.10182116997059602,
|
61 |
+
"nAUC_MAP@5_max(MIRACL)": 0.2978782150409419,
|
62 |
+
"nAUC_MAP@5_std(MIRACL)": 0.11534764072812596,
|
63 |
+
"nAUC_NDCG@1000_diff1(MIRACL)": -0.030675764249711433,
|
64 |
+
"nAUC_NDCG@1000_max(MIRACL)": 0.4196011528049093,
|
65 |
+
"nAUC_NDCG@1000_std(MIRACL)": 0.18703000688244392,
|
66 |
+
"nAUC_NDCG@100_diff1(MIRACL)": -0.030675764249711433,
|
67 |
+
"nAUC_NDCG@100_max(MIRACL)": 0.4196011528049093,
|
68 |
+
"nAUC_NDCG@100_std(MIRACL)": 0.18703000688244392,
|
69 |
+
"nAUC_NDCG@10_diff1(MIRACL)": 0.009007660567953032,
|
70 |
+
"nAUC_NDCG@10_max(MIRACL)": 0.38840471576527,
|
71 |
+
"nAUC_NDCG@10_std(MIRACL)": 0.17528933537345287,
|
72 |
+
"nAUC_NDCG@1_diff1(MIRACL)": 0.12446653127685305,
|
73 |
+
"nAUC_NDCG@1_max(MIRACL)": 0.39998884728041634,
|
74 |
+
"nAUC_NDCG@1_std(MIRACL)": 0.14948980169454756,
|
75 |
+
"nAUC_NDCG@20_diff1(MIRACL)": -0.01594311913405895,
|
76 |
+
"nAUC_NDCG@20_max(MIRACL)": 0.40436637321725566,
|
77 |
+
"nAUC_NDCG@20_std(MIRACL)": 0.18884346313715042,
|
78 |
+
"nAUC_NDCG@3_diff1(MIRACL)": 0.0539060069241399,
|
79 |
+
"nAUC_NDCG@3_max(MIRACL)": 0.3630180722549369,
|
80 |
+
"nAUC_NDCG@3_std(MIRACL)": 0.14471287342377956,
|
81 |
+
"nAUC_NDCG@5_diff1(MIRACL)": 0.04319015283541723,
|
82 |
+
"nAUC_NDCG@5_max(MIRACL)": 0.3562966654168981,
|
83 |
+
"nAUC_NDCG@5_std(MIRACL)": 0.149283633523917,
|
84 |
+
"nAUC_P@1000_diff1(MIRACL)": -0.24754196996243197,
|
85 |
+
"nAUC_P@1000_max(MIRACL)": 0.27250891558928475,
|
86 |
+
"nAUC_P@1000_std(MIRACL)": 0.15102015255467327,
|
87 |
+
"nAUC_P@100_diff1(MIRACL)": -0.24754196996243175,
|
88 |
+
"nAUC_P@100_max(MIRACL)": 0.2725089155892854,
|
89 |
+
"nAUC_P@100_std(MIRACL)": 0.15102015255467355,
|
90 |
+
"nAUC_P@10_diff1(MIRACL)": -0.22861895405414923,
|
91 |
+
"nAUC_P@10_max(MIRACL)": 0.30596671571468875,
|
92 |
+
"nAUC_P@10_std(MIRACL)": 0.18843580349886327,
|
93 |
+
"nAUC_P@1_diff1(MIRACL)": 0.12446653127685305,
|
94 |
+
"nAUC_P@1_max(MIRACL)": 0.39998884728041634,
|
95 |
+
"nAUC_P@1_std(MIRACL)": 0.14948980169454756,
|
96 |
+
"nAUC_P@20_diff1(MIRACL)": -0.24633702067592644,
|
97 |
+
"nAUC_P@20_max(MIRACL)": 0.2868898139059664,
|
98 |
+
"nAUC_P@20_std(MIRACL)": 0.18673389653955133,
|
99 |
+
"nAUC_P@3_diff1(MIRACL)": -0.17545494495988545,
|
100 |
+
"nAUC_P@3_max(MIRACL)": 0.35260634279077574,
|
101 |
+
"nAUC_P@3_std(MIRACL)": 0.17859334573912375,
|
102 |
+
"nAUC_P@5_diff1(MIRACL)": -0.20846168857855932,
|
103 |
+
"nAUC_P@5_max(MIRACL)": 0.3233255815077814,
|
104 |
+
"nAUC_P@5_std(MIRACL)": 0.18689737668991488,
|
105 |
+
"nAUC_Recall@1000_diff1(MIRACL)": -0.33166292530333225,
|
106 |
+
"nAUC_Recall@1000_max(MIRACL)": 0.5630072103768957,
|
107 |
+
"nAUC_Recall@1000_std(MIRACL)": 0.2613299642929344,
|
108 |
+
"nAUC_Recall@100_diff1(MIRACL)": -0.33166292530333225,
|
109 |
+
"nAUC_Recall@100_max(MIRACL)": 0.5630072103768957,
|
110 |
+
"nAUC_Recall@100_std(MIRACL)": 0.2613299642929344,
|
111 |
+
"nAUC_Recall@10_diff1(MIRACL)": -0.11851664614856665,
|
112 |
+
"nAUC_Recall@10_max(MIRACL)": 0.40891368337706835,
|
113 |
+
"nAUC_Recall@10_std(MIRACL)": 0.2043278726016832,
|
114 |
+
"nAUC_Recall@1_diff1(MIRACL)": 0.26164679559463233,
|
115 |
+
"nAUC_Recall@1_max(MIRACL)": 0.1757816625864153,
|
116 |
+
"nAUC_Recall@1_std(MIRACL)": 0.03927142319306305,
|
117 |
+
"nAUC_Recall@20_diff1(MIRACL)": -0.22475522212535015,
|
118 |
+
"nAUC_Recall@20_max(MIRACL)": 0.4692190129269281,
|
119 |
+
"nAUC_Recall@20_std(MIRACL)": 0.2541055155891416,
|
120 |
+
"nAUC_Recall@3_diff1(MIRACL)": 0.05217300854332576,
|
121 |
+
"nAUC_Recall@3_max(MIRACL)": 0.2794215773373771,
|
122 |
+
"nAUC_Recall@3_std(MIRACL)": 0.10928630701331563,
|
123 |
+
"nAUC_Recall@5_diff1(MIRACL)": -0.011142669330513005,
|
124 |
+
"nAUC_Recall@5_max(MIRACL)": 0.31233821299281755,
|
125 |
+
"nAUC_Recall@5_std(MIRACL)": 0.13837108609230428
|
126 |
+
}
|
127 |
+
]
|
128 |
+
},
|
129 |
+
"task_name": "MIRACLReranking"
|
130 |
+
}
|
results/Alibaba-NLP__gte-Qwen2-1.5B-instruct/c6c1b92f4a3e1b92b326ad29dd3c8433457df8dd/MassiveIntentClassification.json
ADDED
@@ -0,0 +1,137 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"dataset_revision": "4672e20407010da34463acc759c162ca9734bca6",
|
3 |
+
"evaluation_time": 210.42088508605957,
|
4 |
+
"kg_co2_emissions": null,
|
5 |
+
"mteb_version": "1.19.2",
|
6 |
+
"scores": {
|
7 |
+
"test": [
|
8 |
+
{
|
9 |
+
"accuracy": 0.7336583725622058,
|
10 |
+
"f1": 0.7041486844338799,
|
11 |
+
"f1_weighted": 0.7219001292766163,
|
12 |
+
"hf_subset": "ru",
|
13 |
+
"languages": [
|
14 |
+
"rus-Cyrl"
|
15 |
+
],
|
16 |
+
"main_score": 0.7336583725622058,
|
17 |
+
"scores_per_experiment": [
|
18 |
+
{
|
19 |
+
"accuracy": 0.7410894418291862,
|
20 |
+
"f1": 0.71036265711149,
|
21 |
+
"f1_weighted": 0.7297361186854204
|
22 |
+
},
|
23 |
+
{
|
24 |
+
"accuracy": 0.7471418964357768,
|
25 |
+
"f1": 0.7096025161995269,
|
26 |
+
"f1_weighted": 0.7382751725849083
|
27 |
+
},
|
28 |
+
{
|
29 |
+
"accuracy": 0.7242770679219905,
|
30 |
+
"f1": 0.6956569622589873,
|
31 |
+
"f1_weighted": 0.7138835702751832
|
32 |
+
},
|
33 |
+
{
|
34 |
+
"accuracy": 0.7501681237390719,
|
35 |
+
"f1": 0.709203702226879,
|
36 |
+
"f1_weighted": 0.7407402980045585
|
37 |
+
},
|
38 |
+
{
|
39 |
+
"accuracy": 0.7407531943510424,
|
40 |
+
"f1": 0.7087779173279923,
|
41 |
+
"f1_weighted": 0.7300548958336911
|
42 |
+
},
|
43 |
+
{
|
44 |
+
"accuracy": 0.7269670477471419,
|
45 |
+
"f1": 0.7118757006668955,
|
46 |
+
"f1_weighted": 0.7194101903409768
|
47 |
+
},
|
48 |
+
{
|
49 |
+
"accuracy": 0.7326832548755884,
|
50 |
+
"f1": 0.7001322294482387,
|
51 |
+
"f1_weighted": 0.7171119326353882
|
52 |
+
},
|
53 |
+
{
|
54 |
+
"accuracy": 0.7239408204438467,
|
55 |
+
"f1": 0.683906516901999,
|
56 |
+
"f1_weighted": 0.7110453438377231
|
57 |
+
},
|
58 |
+
{
|
59 |
+
"accuracy": 0.6997310020174848,
|
60 |
+
"f1": 0.687285247942128,
|
61 |
+
"f1_weighted": 0.6756161892733505
|
62 |
+
},
|
63 |
+
{
|
64 |
+
"accuracy": 0.7498318762609281,
|
65 |
+
"f1": 0.7246833942546619,
|
66 |
+
"f1_weighted": 0.7431275812949625
|
67 |
+
}
|
68 |
+
]
|
69 |
+
}
|
70 |
+
],
|
71 |
+
"validation": [
|
72 |
+
{
|
73 |
+
"accuracy": 0.7424003935071324,
|
74 |
+
"f1": 0.7002602727697711,
|
75 |
+
"f1_weighted": 0.7281309209875871,
|
76 |
+
"hf_subset": "ru",
|
77 |
+
"languages": [
|
78 |
+
"rus-Cyrl"
|
79 |
+
],
|
80 |
+
"main_score": 0.7424003935071324,
|
81 |
+
"scores_per_experiment": [
|
82 |
+
{
|
83 |
+
"accuracy": 0.7560255779636006,
|
84 |
+
"f1": 0.7059355862386306,
|
85 |
+
"f1_weighted": 0.7436840115840425
|
86 |
+
},
|
87 |
+
{
|
88 |
+
"accuracy": 0.7570093457943925,
|
89 |
+
"f1": 0.7061836448113953,
|
90 |
+
"f1_weighted": 0.7460450031376
|
91 |
+
},
|
92 |
+
{
|
93 |
+
"accuracy": 0.7397934087555337,
|
94 |
+
"f1": 0.6973484287084937,
|
95 |
+
"f1_weighted": 0.7259273846794938
|
96 |
+
},
|
97 |
+
{
|
98 |
+
"accuracy": 0.7565174618789966,
|
99 |
+
"f1": 0.70912944118439,
|
100 |
+
"f1_weighted": 0.7420127135102002
|
101 |
+
},
|
102 |
+
{
|
103 |
+
"accuracy": 0.7456960157402853,
|
104 |
+
"f1": 0.6981902622782278,
|
105 |
+
"f1_weighted": 0.7327054921113475
|
106 |
+
},
|
107 |
+
{
|
108 |
+
"accuracy": 0.7397934087555337,
|
109 |
+
"f1": 0.705913482623903,
|
110 |
+
"f1_weighted": 0.7310716749391933
|
111 |
+
},
|
112 |
+
{
|
113 |
+
"accuracy": 0.7397934087555337,
|
114 |
+
"f1": 0.6917552987665041,
|
115 |
+
"f1_weighted": 0.7226417855732911
|
116 |
+
},
|
117 |
+
{
|
118 |
+
"accuracy": 0.7304476143630103,
|
119 |
+
"f1": 0.6915723850018337,
|
120 |
+
"f1_weighted": 0.712978333943807
|
121 |
+
},
|
122 |
+
{
|
123 |
+
"accuracy": 0.7112641416625677,
|
124 |
+
"f1": 0.6894183243112603,
|
125 |
+
"f1_weighted": 0.6864684003227117
|
126 |
+
},
|
127 |
+
{
|
128 |
+
"accuracy": 0.7476635514018691,
|
129 |
+
"f1": 0.7071558737730729,
|
130 |
+
"f1_weighted": 0.7377744100741843
|
131 |
+
}
|
132 |
+
]
|
133 |
+
}
|
134 |
+
]
|
135 |
+
},
|
136 |
+
"task_name": "MassiveIntentClassification"
|
137 |
+
}
|
results/Alibaba-NLP__gte-Qwen2-1.5B-instruct/c6c1b92f4a3e1b92b326ad29dd3c8433457df8dd/MassiveScenarioClassification.json
ADDED
@@ -0,0 +1,137 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"dataset_revision": "fad2c6e8459f9e1c45d9315f4953d921437d70f8",
|
3 |
+
"evaluation_time": 131.11218643188477,
|
4 |
+
"kg_co2_emissions": null,
|
5 |
+
"mteb_version": "1.19.2",
|
6 |
+
"scores": {
|
7 |
+
"test": [
|
8 |
+
{
|
9 |
+
"accuracy": 0.7830195023537324,
|
10 |
+
"f1": 0.7744343255677341,
|
11 |
+
"f1_weighted": 0.7805999340491574,
|
12 |
+
"hf_subset": "ru",
|
13 |
+
"languages": [
|
14 |
+
"rus-Cyrl"
|
15 |
+
],
|
16 |
+
"main_score": 0.7830195023537324,
|
17 |
+
"scores_per_experiment": [
|
18 |
+
{
|
19 |
+
"accuracy": 0.7948890383322125,
|
20 |
+
"f1": 0.7880340018209849,
|
21 |
+
"f1_weighted": 0.792504173343861
|
22 |
+
},
|
23 |
+
{
|
24 |
+
"accuracy": 0.7827841291190316,
|
25 |
+
"f1": 0.7717606111829581,
|
26 |
+
"f1_weighted": 0.7797041272959886
|
27 |
+
},
|
28 |
+
{
|
29 |
+
"accuracy": 0.7817753866845999,
|
30 |
+
"f1": 0.769297118280224,
|
31 |
+
"f1_weighted": 0.7754497922223242
|
32 |
+
},
|
33 |
+
{
|
34 |
+
"accuracy": 0.8016139878950908,
|
35 |
+
"f1": 0.7899288902999394,
|
36 |
+
"f1_weighted": 0.7984304407649091
|
37 |
+
},
|
38 |
+
{
|
39 |
+
"accuracy": 0.7669804976462676,
|
40 |
+
"f1": 0.7550348736787605,
|
41 |
+
"f1_weighted": 0.7627427019624383
|
42 |
+
},
|
43 |
+
{
|
44 |
+
"accuracy": 0.7632817753866846,
|
45 |
+
"f1": 0.7554274492600168,
|
46 |
+
"f1_weighted": 0.7604792463903435
|
47 |
+
},
|
48 |
+
{
|
49 |
+
"accuracy": 0.7683254875588433,
|
50 |
+
"f1": 0.757113512393905,
|
51 |
+
"f1_weighted": 0.7661627633634723
|
52 |
+
},
|
53 |
+
{
|
54 |
+
"accuracy": 0.7864828513786146,
|
55 |
+
"f1": 0.7840084528456414,
|
56 |
+
"f1_weighted": 0.788638874471122
|
57 |
+
},
|
58 |
+
{
|
59 |
+
"accuracy": 0.7868190988567586,
|
60 |
+
"f1": 0.7840096742658867,
|
61 |
+
"f1_weighted": 0.7840384417100829
|
62 |
+
},
|
63 |
+
{
|
64 |
+
"accuracy": 0.7972427706792199,
|
65 |
+
"f1": 0.7897286716490226,
|
66 |
+
"f1_weighted": 0.7978487789670328
|
67 |
+
}
|
68 |
+
]
|
69 |
+
}
|
70 |
+
],
|
71 |
+
"validation": [
|
72 |
+
{
|
73 |
+
"accuracy": 0.7831775700934579,
|
74 |
+
"f1": 0.7719329305602339,
|
75 |
+
"f1_weighted": 0.7811961713256883,
|
76 |
+
"hf_subset": "ru",
|
77 |
+
"languages": [
|
78 |
+
"rus-Cyrl"
|
79 |
+
],
|
80 |
+
"main_score": 0.7831775700934579,
|
81 |
+
"scores_per_experiment": [
|
82 |
+
{
|
83 |
+
"accuracy": 0.7973438268568618,
|
84 |
+
"f1": 0.7886264490986417,
|
85 |
+
"f1_weighted": 0.7936522133640386
|
86 |
+
},
|
87 |
+
{
|
88 |
+
"accuracy": 0.7914412198721101,
|
89 |
+
"f1": 0.7792730068980979,
|
90 |
+
"f1_weighted": 0.7898653312212526
|
91 |
+
},
|
92 |
+
{
|
93 |
+
"accuracy": 0.794392523364486,
|
94 |
+
"f1": 0.7771056216258827,
|
95 |
+
"f1_weighted": 0.7906276949611155
|
96 |
+
},
|
97 |
+
{
|
98 |
+
"accuracy": 0.7870142646335465,
|
99 |
+
"f1": 0.7728106624234612,
|
100 |
+
"f1_weighted": 0.7832769961088517
|
101 |
+
},
|
102 |
+
{
|
103 |
+
"accuracy": 0.7791441219872111,
|
104 |
+
"f1": 0.7677309559227985,
|
105 |
+
"f1_weighted": 0.7763075502546062
|
106 |
+
},
|
107 |
+
{
|
108 |
+
"accuracy": 0.7575012297097885,
|
109 |
+
"f1": 0.7498870802404436,
|
110 |
+
"f1_weighted": 0.7556708468162812
|
111 |
+
},
|
112 |
+
{
|
113 |
+
"accuracy": 0.7771765863256271,
|
114 |
+
"f1": 0.7579729889438993,
|
115 |
+
"f1_weighted": 0.7762030042948803
|
116 |
+
},
|
117 |
+
{
|
118 |
+
"accuracy": 0.778160354156419,
|
119 |
+
"f1": 0.7673291581947205,
|
120 |
+
"f1_weighted": 0.7787982318100919
|
121 |
+
},
|
122 |
+
{
|
123 |
+
"accuracy": 0.778652238071815,
|
124 |
+
"f1": 0.7747785508941001,
|
125 |
+
"f1_weighted": 0.775268898607672
|
126 |
+
},
|
127 |
+
{
|
128 |
+
"accuracy": 0.7909493359567142,
|
129 |
+
"f1": 0.7838148313602934,
|
130 |
+
"f1_weighted": 0.7922909458180922
|
131 |
+
}
|
132 |
+
]
|
133 |
+
}
|
134 |
+
]
|
135 |
+
},
|
136 |
+
"task_name": "MassiveScenarioClassification"
|
137 |
+
}
|
results/Alibaba-NLP__gte-Qwen2-1.5B-instruct/c6c1b92f4a3e1b92b326ad29dd3c8433457df8dd/RUParaPhraserSTS.json
ADDED
@@ -0,0 +1,26 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"dataset_revision": "43265056790b8f7c59e0139acb4be0a8dad2c8f4",
|
3 |
+
"evaluation_time": 49.408578872680664,
|
4 |
+
"kg_co2_emissions": null,
|
5 |
+
"mteb_version": "1.19.2",
|
6 |
+
"scores": {
|
7 |
+
"test": [
|
8 |
+
{
|
9 |
+
"cosine_pearson": 0.6715121089349667,
|
10 |
+
"cosine_spearman": 0.7251027072326818,
|
11 |
+
"euclidean_pearson": 0.7004153159496793,
|
12 |
+
"euclidean_spearman": 0.7251032302004005,
|
13 |
+
"hf_subset": "default",
|
14 |
+
"languages": [
|
15 |
+
"rus-Cyrl"
|
16 |
+
],
|
17 |
+
"main_score": 0.7251027072326818,
|
18 |
+
"manhattan_pearson": 0.6986309216548198,
|
19 |
+
"manhattan_spearman": 0.7233699855486297,
|
20 |
+
"pearson": 0.6715121089349667,
|
21 |
+
"spearman": 0.7251027072326818
|
22 |
+
}
|
23 |
+
]
|
24 |
+
},
|
25 |
+
"task_name": "RUParaPhraserSTS"
|
26 |
+
}
|
results/Alibaba-NLP__gte-Qwen2-1.5B-instruct/c6c1b92f4a3e1b92b326ad29dd3c8433457df8dd/RiaNewsRetrieval.json
ADDED
@@ -0,0 +1,158 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"dataset_revision": "82374b0bbacda6114f39ff9c5b925fa1512ca5d7",
|
3 |
+
"evaluation_time": 10108.248116254807,
|
4 |
+
"kg_co2_emissions": null,
|
5 |
+
"mteb_version": "1.19.4",
|
6 |
+
"scores": {
|
7 |
+
"test": [
|
8 |
+
{
|
9 |
+
"hf_subset": "default",
|
10 |
+
"languages": [
|
11 |
+
"rus-Cyrl"
|
12 |
+
],
|
13 |
+
"main_score": 0.71889,
|
14 |
+
"map_at_1": 0.5837,
|
15 |
+
"map_at_10": 0.67673,
|
16 |
+
"map_at_100": 0.68089,
|
17 |
+
"map_at_1000": 0.68103,
|
18 |
+
"map_at_20": 0.67945,
|
19 |
+
"map_at_3": 0.6586,
|
20 |
+
"map_at_5": 0.66983,
|
21 |
+
"mrr_at_1": 0.5838,
|
22 |
+
"mrr_at_10": 0.676781626984127,
|
23 |
+
"mrr_at_100": 0.680935777612291,
|
24 |
+
"mrr_at_1000": 0.6810832150627617,
|
25 |
+
"mrr_at_20": 0.6795025166852412,
|
26 |
+
"mrr_at_3": 0.65865,
|
27 |
+
"mrr_at_5": 0.669875,
|
28 |
+
"nauc_map_at_1000_diff1": 0.6955742124142791,
|
29 |
+
"nauc_map_at_1000_max": 0.22593930010788726,
|
30 |
+
"nauc_map_at_1000_std": -0.05815150970819692,
|
31 |
+
"nauc_map_at_100_diff1": 0.6955140431724868,
|
32 |
+
"nauc_map_at_100_max": 0.2259497052936759,
|
33 |
+
"nauc_map_at_100_std": -0.05804012691261324,
|
34 |
+
"nauc_map_at_10_diff1": 0.6948486177470656,
|
35 |
+
"nauc_map_at_10_max": 0.22561832372989116,
|
36 |
+
"nauc_map_at_10_std": -0.059483960308164274,
|
37 |
+
"nauc_map_at_1_diff1": 0.7319377282977862,
|
38 |
+
"nauc_map_at_1_max": 0.2015248095554425,
|
39 |
+
"nauc_map_at_1_std": -0.07629133001341516,
|
40 |
+
"nauc_map_at_20_diff1": 0.6952100544527767,
|
41 |
+
"nauc_map_at_20_max": 0.22592622708874877,
|
42 |
+
"nauc_map_at_20_std": -0.05858117975823284,
|
43 |
+
"nauc_map_at_3_diff1": 0.6964801903913905,
|
44 |
+
"nauc_map_at_3_max": 0.22224112715863723,
|
45 |
+
"nauc_map_at_3_std": -0.06557313565196024,
|
46 |
+
"nauc_map_at_5_diff1": 0.6947038531654834,
|
47 |
+
"nauc_map_at_5_max": 0.22544684725819542,
|
48 |
+
"nauc_map_at_5_std": -0.06039937424924277,
|
49 |
+
"nauc_mrr_at_1000_diff1": 0.6954296311193227,
|
50 |
+
"nauc_mrr_at_1000_max": 0.2258481821647905,
|
51 |
+
"nauc_mrr_at_1000_std": -0.05817915886917972,
|
52 |
+
"nauc_mrr_at_100_diff1": 0.6953695397697215,
|
53 |
+
"nauc_mrr_at_100_max": 0.22585863976951523,
|
54 |
+
"nauc_mrr_at_100_std": -0.05806775271029188,
|
55 |
+
"nauc_mrr_at_10_diff1": 0.6947061160177611,
|
56 |
+
"nauc_mrr_at_10_max": 0.22552852562852763,
|
57 |
+
"nauc_mrr_at_10_std": -0.05951129286558239,
|
58 |
+
"nauc_mrr_at_1_diff1": 0.7317073952669194,
|
59 |
+
"nauc_mrr_at_1_max": 0.20137435892055278,
|
60 |
+
"nauc_mrr_at_1_std": -0.0763381827603582,
|
61 |
+
"nauc_mrr_at_20_diff1": 0.6950662871522489,
|
62 |
+
"nauc_mrr_at_20_max": 0.22583563697519174,
|
63 |
+
"nauc_mrr_at_20_std": -0.058608697931486896,
|
64 |
+
"nauc_mrr_at_3_diff1": 0.6963450244832373,
|
65 |
+
"nauc_mrr_at_3_max": 0.22215566769782727,
|
66 |
+
"nauc_mrr_at_3_std": -0.06559947397545805,
|
67 |
+
"nauc_mrr_at_5_diff1": 0.6945645041090036,
|
68 |
+
"nauc_mrr_at_5_max": 0.22535903049732317,
|
69 |
+
"nauc_mrr_at_5_std": -0.06042616106559084,
|
70 |
+
"nauc_ndcg_at_1000_diff1": 0.685333247276125,
|
71 |
+
"nauc_ndcg_at_1000_max": 0.23766253491764136,
|
72 |
+
"nauc_ndcg_at_1000_std": -0.04379543908560062,
|
73 |
+
"nauc_ndcg_at_100_diff1": 0.6836027819260406,
|
74 |
+
"nauc_ndcg_at_100_max": 0.2383513425844018,
|
75 |
+
"nauc_ndcg_at_100_std": -0.03976281101141971,
|
76 |
+
"nauc_ndcg_at_10_diff1": 0.6798803384225631,
|
77 |
+
"nauc_ndcg_at_10_max": 0.2366515620861918,
|
78 |
+
"nauc_ndcg_at_10_std": -0.04750581767516082,
|
79 |
+
"nauc_ndcg_at_1_diff1": 0.7319377282977862,
|
80 |
+
"nauc_ndcg_at_1_max": 0.2015248095554425,
|
81 |
+
"nauc_ndcg_at_1_std": -0.07629133001341516,
|
82 |
+
"nauc_ndcg_at_20_diff1": 0.6808895785463664,
|
83 |
+
"nauc_ndcg_at_20_max": 0.23817315440704365,
|
84 |
+
"nauc_ndcg_at_20_std": -0.04325208883730105,
|
85 |
+
"nauc_ndcg_at_3_diff1": 0.6845277361051741,
|
86 |
+
"nauc_ndcg_at_3_max": 0.22923162367527397,
|
87 |
+
"nauc_ndcg_at_3_std": -0.06096897758992976,
|
88 |
+
"nauc_ndcg_at_5_diff1": 0.6804573515323572,
|
89 |
+
"nauc_ndcg_at_5_max": 0.23565439508892008,
|
90 |
+
"nauc_ndcg_at_5_std": -0.05077785451053942,
|
91 |
+
"nauc_precision_at_1000_diff1": 0.49319155416100613,
|
92 |
+
"nauc_precision_at_1000_max": 0.5908260299828035,
|
93 |
+
"nauc_precision_at_1000_std": 0.35106574818768727,
|
94 |
+
"nauc_precision_at_100_diff1": 0.5528740559094314,
|
95 |
+
"nauc_precision_at_100_max": 0.4097560732478041,
|
96 |
+
"nauc_precision_at_100_std": 0.24965276739402667,
|
97 |
+
"nauc_precision_at_10_diff1": 0.6001251873425006,
|
98 |
+
"nauc_precision_at_10_max": 0.296426996029996,
|
99 |
+
"nauc_precision_at_10_std": 0.02129906392090402,
|
100 |
+
"nauc_precision_at_1_diff1": 0.7319377282977862,
|
101 |
+
"nauc_precision_at_1_max": 0.2015248095554425,
|
102 |
+
"nauc_precision_at_1_std": -0.07629133001341516,
|
103 |
+
"nauc_precision_at_20_diff1": 0.5842114816335258,
|
104 |
+
"nauc_precision_at_20_max": 0.32624326121547537,
|
105 |
+
"nauc_precision_at_20_std": 0.07690356879921746,
|
106 |
+
"nauc_precision_at_3_diff1": 0.6422094187275297,
|
107 |
+
"nauc_precision_at_3_max": 0.2539849114930569,
|
108 |
+
"nauc_precision_at_3_std": -0.044246875963812916,
|
109 |
+
"nauc_precision_at_5_diff1": 0.6213971746098673,
|
110 |
+
"nauc_precision_at_5_max": 0.2786243041491821,
|
111 |
+
"nauc_precision_at_5_std": -0.008763731908253832,
|
112 |
+
"nauc_recall_at_1000_diff1": 0.4931915541610098,
|
113 |
+
"nauc_recall_at_1000_max": 0.5908260299828074,
|
114 |
+
"nauc_recall_at_1000_std": 0.35106574818768893,
|
115 |
+
"nauc_recall_at_100_diff1": 0.5528740559094334,
|
116 |
+
"nauc_recall_at_100_max": 0.40975607324780505,
|
117 |
+
"nauc_recall_at_100_std": 0.24965276739402947,
|
118 |
+
"nauc_recall_at_10_diff1": 0.6001251873425009,
|
119 |
+
"nauc_recall_at_10_max": 0.29642699602999556,
|
120 |
+
"nauc_recall_at_10_std": 0.021299063920903794,
|
121 |
+
"nauc_recall_at_1_diff1": 0.7319377282977862,
|
122 |
+
"nauc_recall_at_1_max": 0.2015248095554425,
|
123 |
+
"nauc_recall_at_1_std": -0.07629133001341516,
|
124 |
+
"nauc_recall_at_20_diff1": 0.584211481633525,
|
125 |
+
"nauc_recall_at_20_max": 0.3262432612154751,
|
126 |
+
"nauc_recall_at_20_std": 0.07690356879921681,
|
127 |
+
"nauc_recall_at_3_diff1": 0.6422094187275298,
|
128 |
+
"nauc_recall_at_3_max": 0.2539849114930569,
|
129 |
+
"nauc_recall_at_3_std": -0.044246875963812014,
|
130 |
+
"nauc_recall_at_5_diff1": 0.621397174609867,
|
131 |
+
"nauc_recall_at_5_max": 0.27862430414918327,
|
132 |
+
"nauc_recall_at_5_std": -0.008763731908251915,
|
133 |
+
"ndcg_at_1": 0.5837,
|
134 |
+
"ndcg_at_10": 0.71889,
|
135 |
+
"ndcg_at_100": 0.73902,
|
136 |
+
"ndcg_at_1000": 0.74314,
|
137 |
+
"ndcg_at_20": 0.72872,
|
138 |
+
"ndcg_at_3": 0.68217,
|
139 |
+
"ndcg_at_5": 0.70237,
|
140 |
+
"precision_at_1": 0.5837,
|
141 |
+
"precision_at_10": 0.08497,
|
142 |
+
"precision_at_100": 0.00944,
|
143 |
+
"precision_at_1000": 0.00098,
|
144 |
+
"precision_at_20": 0.04442,
|
145 |
+
"precision_at_3": 0.25003,
|
146 |
+
"precision_at_5": 0.15982,
|
147 |
+
"recall_at_1": 0.5837,
|
148 |
+
"recall_at_10": 0.8497,
|
149 |
+
"recall_at_100": 0.9438,
|
150 |
+
"recall_at_1000": 0.9767,
|
151 |
+
"recall_at_20": 0.8884,
|
152 |
+
"recall_at_3": 0.7501,
|
153 |
+
"recall_at_5": 0.7991
|
154 |
+
}
|
155 |
+
]
|
156 |
+
},
|
157 |
+
"task_name": "RiaNewsRetrieval"
|
158 |
+
}
|
results/Alibaba-NLP__gte-Qwen2-1.5B-instruct/c6c1b92f4a3e1b92b326ad29dd3c8433457df8dd/RuBQReranking.json
ADDED
@@ -0,0 +1,26 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"dataset_revision": "2e96b8f098fa4b0950fc58eacadeb31c0d0c7fa2",
|
3 |
+
"evaluation_time": 549.4406032562256,
|
4 |
+
"kg_co2_emissions": null,
|
5 |
+
"mteb_version": "1.19.2",
|
6 |
+
"scores": {
|
7 |
+
"test": [
|
8 |
+
{
|
9 |
+
"hf_subset": "default",
|
10 |
+
"languages": [
|
11 |
+
"rus-Cyrl"
|
12 |
+
],
|
13 |
+
"main_score": 0.7387568855586618,
|
14 |
+
"map": 0.7387568855586618,
|
15 |
+
"mrr": 0.7947627234861276,
|
16 |
+
"nAUC_map_diff1": 0.4185378603074729,
|
17 |
+
"nAUC_map_max": 0.2557231510377531,
|
18 |
+
"nAUC_map_std": 0.13128175699927613,
|
19 |
+
"nAUC_mrr_diff1": 0.47436093079736,
|
20 |
+
"nAUC_mrr_max": 0.32174764627694347,
|
21 |
+
"nAUC_mrr_std": 0.17102903008849993
|
22 |
+
}
|
23 |
+
]
|
24 |
+
},
|
25 |
+
"task_name": "RuBQReranking"
|
26 |
+
}
|
results/Alibaba-NLP__gte-Qwen2-1.5B-instruct/c6c1b92f4a3e1b92b326ad29dd3c8433457df8dd/RuBQRetrieval.json
ADDED
@@ -0,0 +1,158 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"dataset_revision": "e19b6ffa60b3bc248e0b41f4cc37c26a55c2a67b",
|
3 |
+
"evaluation_time": 784.6238145828247,
|
4 |
+
"kg_co2_emissions": null,
|
5 |
+
"mteb_version": "1.19.2",
|
6 |
+
"scores": {
|
7 |
+
"test": [
|
8 |
+
{
|
9 |
+
"hf_subset": "default",
|
10 |
+
"languages": [
|
11 |
+
"rus-Cyrl"
|
12 |
+
],
|
13 |
+
"main_score": 0.7084,
|
14 |
+
"map_at_1": 0.43332,
|
15 |
+
"map_at_10": 0.63053,
|
16 |
+
"map_at_100": 0.63993,
|
17 |
+
"map_at_1000": 0.64026,
|
18 |
+
"map_at_20": 0.63709,
|
19 |
+
"map_at_3": 0.57886,
|
20 |
+
"map_at_5": 0.61114,
|
21 |
+
"mrr_at_1": 0.6199763593380615,
|
22 |
+
"mrr_at_10": 0.7245206199106908,
|
23 |
+
"mrr_at_100": 0.7273490906521782,
|
24 |
+
"mrr_at_1000": 0.7274286731850885,
|
25 |
+
"mrr_at_20": 0.7264379350659075,
|
26 |
+
"mrr_at_3": 0.7035066981875492,
|
27 |
+
"mrr_at_5": 0.7172182821118991,
|
28 |
+
"nauc_map_at_1000_diff1": 0.4098493844311728,
|
29 |
+
"nauc_map_at_1000_max": 0.31177707877202504,
|
30 |
+
"nauc_map_at_1000_std": -0.04566651903378437,
|
31 |
+
"nauc_map_at_100_diff1": 0.40952562105342194,
|
32 |
+
"nauc_map_at_100_max": 0.31169297709731714,
|
33 |
+
"nauc_map_at_100_std": -0.04523866869295098,
|
34 |
+
"nauc_map_at_10_diff1": 0.40711399489725486,
|
35 |
+
"nauc_map_at_10_max": 0.3108701521245131,
|
36 |
+
"nauc_map_at_10_std": -0.04967984333609782,
|
37 |
+
"nauc_map_at_1_diff1": 0.45449485733217426,
|
38 |
+
"nauc_map_at_1_max": 0.2272541734394137,
|
39 |
+
"nauc_map_at_1_std": -0.057269877241334324,
|
40 |
+
"nauc_map_at_20_diff1": 0.40831577007417696,
|
41 |
+
"nauc_map_at_20_max": 0.3114967925232305,
|
42 |
+
"nauc_map_at_20_std": -0.04601751526875259,
|
43 |
+
"nauc_map_at_3_diff1": 0.4083213088622995,
|
44 |
+
"nauc_map_at_3_max": 0.2918533799320895,
|
45 |
+
"nauc_map_at_3_std": -0.06555391990203349,
|
46 |
+
"nauc_map_at_5_diff1": 0.4033711250277714,
|
47 |
+
"nauc_map_at_5_max": 0.30257732148218364,
|
48 |
+
"nauc_map_at_5_std": -0.0631614517998428,
|
49 |
+
"nauc_mrr_at_1000_diff1": 0.4943221498869888,
|
50 |
+
"nauc_mrr_at_1000_max": 0.3613450471452896,
|
51 |
+
"nauc_mrr_at_1000_std": -0.054787367722350176,
|
52 |
+
"nauc_mrr_at_100_diff1": 0.49427485634008067,
|
53 |
+
"nauc_mrr_at_100_max": 0.3612967269520609,
|
54 |
+
"nauc_mrr_at_100_std": -0.05468894676941939,
|
55 |
+
"nauc_mrr_at_10_diff1": 0.4940433471901002,
|
56 |
+
"nauc_mrr_at_10_max": 0.3637456812378933,
|
57 |
+
"nauc_mrr_at_10_std": -0.053550809807821634,
|
58 |
+
"nauc_mrr_at_1_diff1": 0.524379377394298,
|
59 |
+
"nauc_mrr_at_1_max": 0.33024859326180706,
|
60 |
+
"nauc_mrr_at_1_std": -0.06920671552303741,
|
61 |
+
"nauc_mrr_at_20_diff1": 0.4942583856242923,
|
62 |
+
"nauc_mrr_at_20_max": 0.361520220767161,
|
63 |
+
"nauc_mrr_at_20_std": -0.05516540683278387,
|
64 |
+
"nauc_mrr_at_3_diff1": 0.48552814894456764,
|
65 |
+
"nauc_mrr_at_3_max": 0.36097653693631854,
|
66 |
+
"nauc_mrr_at_3_std": -0.056742983019184304,
|
67 |
+
"nauc_mrr_at_5_diff1": 0.4871754747833668,
|
68 |
+
"nauc_mrr_at_5_max": 0.3614729667028967,
|
69 |
+
"nauc_mrr_at_5_std": -0.057561200455925894,
|
70 |
+
"nauc_ndcg_at_1000_diff1": 0.4267257023809727,
|
71 |
+
"nauc_ndcg_at_1000_max": 0.3380181226065005,
|
72 |
+
"nauc_ndcg_at_1000_std": -0.029975086176097218,
|
73 |
+
"nauc_ndcg_at_100_diff1": 0.42047993425371843,
|
74 |
+
"nauc_ndcg_at_100_max": 0.33725479430617705,
|
75 |
+
"nauc_ndcg_at_100_std": -0.020038862668499628,
|
76 |
+
"nauc_ndcg_at_10_diff1": 0.41372994897265053,
|
77 |
+
"nauc_ndcg_at_10_max": 0.3402185054238364,
|
78 |
+
"nauc_ndcg_at_10_std": -0.032482077629039076,
|
79 |
+
"nauc_ndcg_at_1_diff1": 0.524379377394298,
|
80 |
+
"nauc_ndcg_at_1_max": 0.33024859326180706,
|
81 |
+
"nauc_ndcg_at_1_std": -0.06920671552303741,
|
82 |
+
"nauc_ndcg_at_20_diff1": 0.4157809742540088,
|
83 |
+
"nauc_ndcg_at_20_max": 0.33753169142968914,
|
84 |
+
"nauc_ndcg_at_20_std": -0.026101116562713023,
|
85 |
+
"nauc_ndcg_at_3_diff1": 0.4089658577309038,
|
86 |
+
"nauc_ndcg_at_3_max": 0.31276369584128266,
|
87 |
+
"nauc_ndcg_at_3_std": -0.05993983038697398,
|
88 |
+
"nauc_ndcg_at_5_diff1": 0.40360054168811305,
|
89 |
+
"nauc_ndcg_at_5_max": 0.32451996935897526,
|
90 |
+
"nauc_ndcg_at_5_std": -0.057496261019184904,
|
91 |
+
"nauc_precision_at_1000_diff1": -0.1039335981528995,
|
92 |
+
"nauc_precision_at_1000_max": 0.031305504944271374,
|
93 |
+
"nauc_precision_at_1000_std": 0.04291631348500297,
|
94 |
+
"nauc_precision_at_100_diff1": -0.09751197473832654,
|
95 |
+
"nauc_precision_at_100_max": 0.059270886848049154,
|
96 |
+
"nauc_precision_at_100_std": 0.08155218308146268,
|
97 |
+
"nauc_precision_at_10_diff1": -0.029614761682125797,
|
98 |
+
"nauc_precision_at_10_max": 0.1470431677304054,
|
99 |
+
"nauc_precision_at_10_std": 0.05620191569349491,
|
100 |
+
"nauc_precision_at_1_diff1": 0.524379377394298,
|
101 |
+
"nauc_precision_at_1_max": 0.33024859326180706,
|
102 |
+
"nauc_precision_at_1_std": -0.06920671552303741,
|
103 |
+
"nauc_precision_at_20_diff1": -0.06502174226456801,
|
104 |
+
"nauc_precision_at_20_max": 0.10619995806354679,
|
105 |
+
"nauc_precision_at_20_std": 0.07597531058913329,
|
106 |
+
"nauc_precision_at_3_diff1": 0.1136659799581031,
|
107 |
+
"nauc_precision_at_3_max": 0.2339666948885143,
|
108 |
+
"nauc_precision_at_3_std": -0.019247497680378353,
|
109 |
+
"nauc_precision_at_5_diff1": 0.029822992344513077,
|
110 |
+
"nauc_precision_at_5_max": 0.18940176550320303,
|
111 |
+
"nauc_precision_at_5_std": 0.0009625435506027025,
|
112 |
+
"nauc_recall_at_1000_diff1": 0.2776275954706104,
|
113 |
+
"nauc_recall_at_1000_max": 0.6315289106882999,
|
114 |
+
"nauc_recall_at_1000_std": 0.7288279620071334,
|
115 |
+
"nauc_recall_at_100_diff1": 0.18254957860285773,
|
116 |
+
"nauc_recall_at_100_max": 0.348275786234804,
|
117 |
+
"nauc_recall_at_100_std": 0.40769676520874576,
|
118 |
+
"nauc_recall_at_10_diff1": 0.28734906439784297,
|
119 |
+
"nauc_recall_at_10_max": 0.350678923614868,
|
120 |
+
"nauc_recall_at_10_std": 0.05565517533474942,
|
121 |
+
"nauc_recall_at_1_diff1": 0.45449485733217426,
|
122 |
+
"nauc_recall_at_1_max": 0.2272541734394137,
|
123 |
+
"nauc_recall_at_1_std": -0.057269877241334324,
|
124 |
+
"nauc_recall_at_20_diff1": 0.25111298116248404,
|
125 |
+
"nauc_recall_at_20_max": 0.33170412942756444,
|
126 |
+
"nauc_recall_at_20_std": 0.12211197873972823,
|
127 |
+
"nauc_recall_at_3_diff1": 0.32051875578747546,
|
128 |
+
"nauc_recall_at_3_max": 0.2803433904916248,
|
129 |
+
"nauc_recall_at_3_std": -0.04820404247875975,
|
130 |
+
"nauc_recall_at_5_diff1": 0.28342025003580124,
|
131 |
+
"nauc_recall_at_5_max": 0.30065661133125327,
|
132 |
+
"nauc_recall_at_5_std": -0.038787962818204645,
|
133 |
+
"ndcg_at_1": 0.61998,
|
134 |
+
"ndcg_at_10": 0.7084,
|
135 |
+
"ndcg_at_100": 0.73744,
|
136 |
+
"ndcg_at_1000": 0.74323,
|
137 |
+
"ndcg_at_20": 0.72441,
|
138 |
+
"ndcg_at_3": 0.63919,
|
139 |
+
"ndcg_at_5": 0.67598,
|
140 |
+
"precision_at_1": 0.61998,
|
141 |
+
"precision_at_10": 0.13712,
|
142 |
+
"precision_at_100": 0.01584,
|
143 |
+
"precision_at_1000": 0.00166,
|
144 |
+
"precision_at_20": 0.07376,
|
145 |
+
"precision_at_3": 0.34634,
|
146 |
+
"precision_at_5": 0.24173,
|
147 |
+
"recall_at_1": 0.43332,
|
148 |
+
"recall_at_10": 0.84009,
|
149 |
+
"recall_at_100": 0.95086,
|
150 |
+
"recall_at_1000": 0.98937,
|
151 |
+
"recall_at_20": 0.89235,
|
152 |
+
"recall_at_3": 0.66979,
|
153 |
+
"recall_at_5": 0.75729
|
154 |
+
}
|
155 |
+
]
|
156 |
+
},
|
157 |
+
"task_name": "RuBQRetrieval"
|
158 |
+
}
|
results/Alibaba-NLP__gte-Qwen2-1.5B-instruct/c6c1b92f4a3e1b92b326ad29dd3c8433457df8dd/RuReviewsClassification.json
ADDED
@@ -0,0 +1,73 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"dataset_revision": "f6d2c31f4dc6b88f468552750bfec05b4b41b05a",
|
3 |
+
"evaluation_time": 36.28613591194153,
|
4 |
+
"kg_co2_emissions": null,
|
5 |
+
"mteb_version": "1.19.2",
|
6 |
+
"scores": {
|
7 |
+
"test": [
|
8 |
+
{
|
9 |
+
"accuracy": 0.698095703125,
|
10 |
+
"f1": 0.6896768789132586,
|
11 |
+
"f1_weighted": 0.6896807821830067,
|
12 |
+
"hf_subset": "default",
|
13 |
+
"languages": [
|
14 |
+
"rus-Cyrl"
|
15 |
+
],
|
16 |
+
"main_score": 0.698095703125,
|
17 |
+
"scores_per_experiment": [
|
18 |
+
{
|
19 |
+
"accuracy": 0.7275390625,
|
20 |
+
"f1": 0.7220694639014127,
|
21 |
+
"f1_weighted": 0.7220625619911872
|
22 |
+
},
|
23 |
+
{
|
24 |
+
"accuracy": 0.65478515625,
|
25 |
+
"f1": 0.6491362610344539,
|
26 |
+
"f1_weighted": 0.6491672807222408
|
27 |
+
},
|
28 |
+
{
|
29 |
+
"accuracy": 0.7109375,
|
30 |
+
"f1": 0.6952384221984715,
|
31 |
+
"f1_weighted": 0.6952186235993608
|
32 |
+
},
|
33 |
+
{
|
34 |
+
"accuracy": 0.68408203125,
|
35 |
+
"f1": 0.6839828621347107,
|
36 |
+
"f1_weighted": 0.684040452528405
|
37 |
+
},
|
38 |
+
{
|
39 |
+
"accuracy": 0.7373046875,
|
40 |
+
"f1": 0.7395317495184309,
|
41 |
+
"f1_weighted": 0.7395381702528763
|
42 |
+
},
|
43 |
+
{
|
44 |
+
"accuracy": 0.68212890625,
|
45 |
+
"f1": 0.6788792738133856,
|
46 |
+
"f1_weighted": 0.6788869502680129
|
47 |
+
},
|
48 |
+
{
|
49 |
+
"accuracy": 0.68017578125,
|
50 |
+
"f1": 0.674774307090292,
|
51 |
+
"f1_weighted": 0.6747852833857639
|
52 |
+
},
|
53 |
+
{
|
54 |
+
"accuracy": 0.70166015625,
|
55 |
+
"f1": 0.6879877165733109,
|
56 |
+
"f1_weighted": 0.6879796687559976
|
57 |
+
},
|
58 |
+
{
|
59 |
+
"accuracy": 0.6689453125,
|
60 |
+
"f1": 0.634339983172118,
|
61 |
+
"f1_weighted": 0.6342962843130933
|
62 |
+
},
|
63 |
+
{
|
64 |
+
"accuracy": 0.7333984375,
|
65 |
+
"f1": 0.7308287496959999,
|
66 |
+
"f1_weighted": 0.730832546013129
|
67 |
+
}
|
68 |
+
]
|
69 |
+
}
|
70 |
+
]
|
71 |
+
},
|
72 |
+
"task_name": "RuReviewsClassification"
|
73 |
+
}
|
results/Alibaba-NLP__gte-Qwen2-1.5B-instruct/c6c1b92f4a3e1b92b326ad29dd3c8433457df8dd/RuSTSBenchmarkSTS.json
ADDED
@@ -0,0 +1,26 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"dataset_revision": "7cf24f325c6da6195df55bef3d86b5e0616f3018",
|
3 |
+
"evaluation_time": 33.171607971191406,
|
4 |
+
"kg_co2_emissions": null,
|
5 |
+
"mteb_version": "1.19.2",
|
6 |
+
"scores": {
|
7 |
+
"test": [
|
8 |
+
{
|
9 |
+
"cosine_pearson": 0.7969696535182529,
|
10 |
+
"cosine_spearman": 0.7863818865780526,
|
11 |
+
"euclidean_pearson": 0.7856831649296786,
|
12 |
+
"euclidean_spearman": 0.7863818865780526,
|
13 |
+
"hf_subset": "default",
|
14 |
+
"languages": [
|
15 |
+
"rus-Cyrl"
|
16 |
+
],
|
17 |
+
"main_score": 0.7863818865780526,
|
18 |
+
"manhattan_pearson": 0.7868536524192116,
|
19 |
+
"manhattan_spearman": 0.7884445888242286,
|
20 |
+
"pearson": 0.7969696535182529,
|
21 |
+
"spearman": 0.7863818865780526
|
22 |
+
}
|
23 |
+
]
|
24 |
+
},
|
25 |
+
"task_name": "RuSTSBenchmarkSTS"
|
26 |
+
}
|
results/Alibaba-NLP__gte-Qwen2-1.5B-instruct/c6c1b92f4a3e1b92b326ad29dd3c8433457df8dd/RuSciBenchGRNTIClassification.json
ADDED
@@ -0,0 +1,73 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"dataset_revision": "673a610d6d3dd91a547a0d57ae1b56f37ebbf6a1",
|
3 |
+
"evaluation_time": 65.67443513870239,
|
4 |
+
"kg_co2_emissions": null,
|
5 |
+
"mteb_version": "1.19.2",
|
6 |
+
"scores": {
|
7 |
+
"test": [
|
8 |
+
{
|
9 |
+
"accuracy": 0.6673828125,
|
10 |
+
"f1": 0.6564611808368113,
|
11 |
+
"f1_weighted": 0.6565678384778197,
|
12 |
+
"hf_subset": "default",
|
13 |
+
"languages": [
|
14 |
+
"rus-Cyrl"
|
15 |
+
],
|
16 |
+
"main_score": 0.6673828125,
|
17 |
+
"scores_per_experiment": [
|
18 |
+
{
|
19 |
+
"accuracy": 0.68798828125,
|
20 |
+
"f1": 0.6810050944295518,
|
21 |
+
"f1_weighted": 0.6811133014806365
|
22 |
+
},
|
23 |
+
{
|
24 |
+
"accuracy": 0.66357421875,
|
25 |
+
"f1": 0.6511976944015947,
|
26 |
+
"f1_weighted": 0.6513117011798647
|
27 |
+
},
|
28 |
+
{
|
29 |
+
"accuracy": 0.65478515625,
|
30 |
+
"f1": 0.6411231743506376,
|
31 |
+
"f1_weighted": 0.6412676104371658
|
32 |
+
},
|
33 |
+
{
|
34 |
+
"accuracy": 0.67236328125,
|
35 |
+
"f1": 0.66135007733751,
|
36 |
+
"f1_weighted": 0.661463776056001
|
37 |
+
},
|
38 |
+
{
|
39 |
+
"accuracy": 0.671875,
|
40 |
+
"f1": 0.6629382495623598,
|
41 |
+
"f1_weighted": 0.6630279677814571
|
42 |
+
},
|
43 |
+
{
|
44 |
+
"accuracy": 0.66259765625,
|
45 |
+
"f1": 0.6530275032620626,
|
46 |
+
"f1_weighted": 0.6530952276222671
|
47 |
+
},
|
48 |
+
{
|
49 |
+
"accuracy": 0.67822265625,
|
50 |
+
"f1": 0.665913133789097,
|
51 |
+
"f1_weighted": 0.6660414948471616
|
52 |
+
},
|
53 |
+
{
|
54 |
+
"accuracy": 0.6591796875,
|
55 |
+
"f1": 0.6484716936319798,
|
56 |
+
"f1_weighted": 0.6485803505158273
|
57 |
+
},
|
58 |
+
{
|
59 |
+
"accuracy": 0.671875,
|
60 |
+
"f1": 0.6620798628890334,
|
61 |
+
"f1_weighted": 0.6621870228217818
|
62 |
+
},
|
63 |
+
{
|
64 |
+
"accuracy": 0.6513671875,
|
65 |
+
"f1": 0.6375053247142862,
|
66 |
+
"f1_weighted": 0.6375899320360338
|
67 |
+
}
|
68 |
+
]
|
69 |
+
}
|
70 |
+
]
|
71 |
+
},
|
72 |
+
"task_name": "RuSciBenchGRNTIClassification"
|
73 |
+
}
|
results/Alibaba-NLP__gte-Qwen2-1.5B-instruct/c6c1b92f4a3e1b92b326ad29dd3c8433457df8dd/RuSciBenchGRNTIClusteringP2P.json
ADDED
@@ -0,0 +1,34 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"dataset_revision": "673a610d6d3dd91a547a0d57ae1b56f37ebbf6a1",
|
3 |
+
"evaluation_time": 115.56734299659729,
|
4 |
+
"kg_co2_emissions": null,
|
5 |
+
"mteb_version": "1.19.2",
|
6 |
+
"scores": {
|
7 |
+
"test": [
|
8 |
+
{
|
9 |
+
"hf_subset": "default",
|
10 |
+
"languages": [
|
11 |
+
"rus-Cyrl"
|
12 |
+
],
|
13 |
+
"main_score": 0.6140423807896046,
|
14 |
+
"v_measure": 0.6140423807896046,
|
15 |
+
"v_measure_std": 0.00557206978100521,
|
16 |
+
"v_measures": {
|
17 |
+
"Level 0": [
|
18 |
+
0.6127788469180457,
|
19 |
+
0.618699078427273,
|
20 |
+
0.606794452399866,
|
21 |
+
0.6088767832666402,
|
22 |
+
0.6078227897415304,
|
23 |
+
0.6127429855670982,
|
24 |
+
0.6256263602773254,
|
25 |
+
0.6162643186875588,
|
26 |
+
0.6118913377965314,
|
27 |
+
0.6189268548141774
|
28 |
+
]
|
29 |
+
}
|
30 |
+
}
|
31 |
+
]
|
32 |
+
},
|
33 |
+
"task_name": "RuSciBenchGRNTIClusteringP2P"
|
34 |
+
}
|
results/Alibaba-NLP__gte-Qwen2-1.5B-instruct/c6c1b92f4a3e1b92b326ad29dd3c8433457df8dd/RuSciBenchOECDClassification.json
ADDED
@@ -0,0 +1,73 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"dataset_revision": "26c88e99dcaba32bb45d0e1bfc21902337f6d471",
|
3 |
+
"evaluation_time": 74.62318015098572,
|
4 |
+
"kg_co2_emissions": null,
|
5 |
+
"mteb_version": "1.19.2",
|
6 |
+
"scores": {
|
7 |
+
"test": [
|
8 |
+
{
|
9 |
+
"accuracy": 0.531494140625,
|
10 |
+
"f1": 0.5092538189981415,
|
11 |
+
"f1_weighted": 0.5092330972697919,
|
12 |
+
"hf_subset": "default",
|
13 |
+
"languages": [
|
14 |
+
"rus-Cyrl"
|
15 |
+
],
|
16 |
+
"main_score": 0.531494140625,
|
17 |
+
"scores_per_experiment": [
|
18 |
+
{
|
19 |
+
"accuracy": 0.53515625,
|
20 |
+
"f1": 0.5120307795631852,
|
21 |
+
"f1_weighted": 0.5120687483399415
|
22 |
+
},
|
23 |
+
{
|
24 |
+
"accuracy": 0.5322265625,
|
25 |
+
"f1": 0.5083554434216956,
|
26 |
+
"f1_weighted": 0.5083144296186541
|
27 |
+
},
|
28 |
+
{
|
29 |
+
"accuracy": 0.5439453125,
|
30 |
+
"f1": 0.527283707549943,
|
31 |
+
"f1_weighted": 0.5273521003997528
|
32 |
+
},
|
33 |
+
{
|
34 |
+
"accuracy": 0.513671875,
|
35 |
+
"f1": 0.4757018495567095,
|
36 |
+
"f1_weighted": 0.4756329470679142
|
37 |
+
},
|
38 |
+
{
|
39 |
+
"accuracy": 0.53125,
|
40 |
+
"f1": 0.5074090398183793,
|
41 |
+
"f1_weighted": 0.5074314808861585
|
42 |
+
},
|
43 |
+
{
|
44 |
+
"accuracy": 0.54296875,
|
45 |
+
"f1": 0.5268638850045184,
|
46 |
+
"f1_weighted": 0.5268322149028193
|
47 |
+
},
|
48 |
+
{
|
49 |
+
"accuracy": 0.53076171875,
|
50 |
+
"f1": 0.5021852239085048,
|
51 |
+
"f1_weighted": 0.5021507495182084
|
52 |
+
},
|
53 |
+
{
|
54 |
+
"accuracy": 0.54248046875,
|
55 |
+
"f1": 0.5325792283658487,
|
56 |
+
"f1_weighted": 0.5325468536479304
|
57 |
+
},
|
58 |
+
{
|
59 |
+
"accuracy": 0.51513671875,
|
60 |
+
"f1": 0.48825906305928374,
|
61 |
+
"f1_weighted": 0.4881892459697636
|
62 |
+
},
|
63 |
+
{
|
64 |
+
"accuracy": 0.52734375,
|
65 |
+
"f1": 0.5118699697333468,
|
66 |
+
"f1_weighted": 0.5118122023467767
|
67 |
+
}
|
68 |
+
]
|
69 |
+
}
|
70 |
+
]
|
71 |
+
},
|
72 |
+
"task_name": "RuSciBenchOECDClassification"
|
73 |
+
}
|
results/Alibaba-NLP__gte-Qwen2-1.5B-instruct/c6c1b92f4a3e1b92b326ad29dd3c8433457df8dd/RuSciBenchOECDClusteringP2P.json
ADDED
@@ -0,0 +1,34 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"dataset_revision": "26c88e99dcaba32bb45d0e1bfc21902337f6d471",
|
3 |
+
"evaluation_time": 87.11343717575073,
|
4 |
+
"kg_co2_emissions": null,
|
5 |
+
"mteb_version": "1.19.2",
|
6 |
+
"scores": {
|
7 |
+
"test": [
|
8 |
+
{
|
9 |
+
"hf_subset": "default",
|
10 |
+
"languages": [
|
11 |
+
"rus-Cyrl"
|
12 |
+
],
|
13 |
+
"main_score": 0.5293031451453222,
|
14 |
+
"v_measure": 0.5293031451453222,
|
15 |
+
"v_measure_std": 0.006817383450301443,
|
16 |
+
"v_measures": {
|
17 |
+
"Level 0": [
|
18 |
+
0.5275782837034745,
|
19 |
+
0.5317326590619295,
|
20 |
+
0.5272979993924329,
|
21 |
+
0.5208098266788344,
|
22 |
+
0.5348989142344105,
|
23 |
+
0.5210363368983464,
|
24 |
+
0.544040470280087,
|
25 |
+
0.5222786185801435,
|
26 |
+
0.5306171116181606,
|
27 |
+
0.532741231005403
|
28 |
+
]
|
29 |
+
}
|
30 |
+
}
|
31 |
+
]
|
32 |
+
},
|
33 |
+
"task_name": "RuSciBenchOECDClusteringP2P"
|
34 |
+
}
|
results/Alibaba-NLP__gte-Qwen2-1.5B-instruct/c6c1b92f4a3e1b92b326ad29dd3c8433457df8dd/STS22.json
ADDED
@@ -0,0 +1,26 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"dataset_revision": "de9d86b3b84231dc21f76c7b7af1f28e2f57f6e3",
|
3 |
+
"evaluation_time": 7.6240458488464355,
|
4 |
+
"kg_co2_emissions": null,
|
5 |
+
"mteb_version": "1.19.2",
|
6 |
+
"scores": {
|
7 |
+
"test": [
|
8 |
+
{
|
9 |
+
"cosine_pearson": 0.5498167422150342,
|
10 |
+
"cosine_spearman": 0.6208272980605856,
|
11 |
+
"euclidean_pearson": 0.5513938985046544,
|
12 |
+
"euclidean_spearman": 0.6208272980605856,
|
13 |
+
"hf_subset": "ru",
|
14 |
+
"languages": [
|
15 |
+
"rus-Cyrl"
|
16 |
+
],
|
17 |
+
"main_score": 0.6208272980605856,
|
18 |
+
"manhattan_pearson": 0.5495505582267963,
|
19 |
+
"manhattan_spearman": 0.6197925120287682,
|
20 |
+
"pearson": 0.5498167422150342,
|
21 |
+
"spearman": 0.6208272980605856
|
22 |
+
}
|
23 |
+
]
|
24 |
+
},
|
25 |
+
"task_name": "STS22"
|
26 |
+
}
|
results/Alibaba-NLP__gte-Qwen2-1.5B-instruct/c6c1b92f4a3e1b92b326ad29dd3c8433457df8dd/SensitiveTopicsClassification.json
ADDED
@@ -0,0 +1,73 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"dataset_revision": "416b34a802308eac30e4192afc0ff99bb8dcc7f2",
|
3 |
+
"evaluation_time": 55.321635007858276,
|
4 |
+
"kg_co2_emissions": null,
|
5 |
+
"mteb_version": "1.19.2",
|
6 |
+
"scores": {
|
7 |
+
"test": [
|
8 |
+
{
|
9 |
+
"accuracy": 0.343212890625,
|
10 |
+
"f1": 0.4444830510959751,
|
11 |
+
"hf_subset": "default",
|
12 |
+
"languages": [
|
13 |
+
"rus-Cyrl"
|
14 |
+
],
|
15 |
+
"lrap": 0.5518161349826368,
|
16 |
+
"main_score": 0.343212890625,
|
17 |
+
"scores_per_experiment": [
|
18 |
+
{
|
19 |
+
"accuracy": 0.34326171875,
|
20 |
+
"f1": 0.4201625594418228,
|
21 |
+
"lrap": 0.5236545138888846
|
22 |
+
},
|
23 |
+
{
|
24 |
+
"accuracy": 0.3056640625,
|
25 |
+
"f1": 0.42621370107155704,
|
26 |
+
"lrap": 0.5270928276909683
|
27 |
+
},
|
28 |
+
{
|
29 |
+
"accuracy": 0.3349609375,
|
30 |
+
"f1": 0.40866798099165463,
|
31 |
+
"lrap": 0.5254584418402736
|
32 |
+
},
|
33 |
+
{
|
34 |
+
"accuracy": 0.365234375,
|
35 |
+
"f1": 0.4658714499469487,
|
36 |
+
"lrap": 0.5608384874131928
|
37 |
+
},
|
38 |
+
{
|
39 |
+
"accuracy": 0.345703125,
|
40 |
+
"f1": 0.4493586128248626,
|
41 |
+
"lrap": 0.5564778645833316
|
42 |
+
},
|
43 |
+
{
|
44 |
+
"accuracy": 0.35400390625,
|
45 |
+
"f1": 0.458588454181207,
|
46 |
+
"lrap": 0.5751817491319442
|
47 |
+
},
|
48 |
+
{
|
49 |
+
"accuracy": 0.34423828125,
|
50 |
+
"f1": 0.4647278198948714,
|
51 |
+
"lrap": 0.5674709743923604
|
52 |
+
},
|
53 |
+
{
|
54 |
+
"accuracy": 0.34521484375,
|
55 |
+
"f1": 0.4383361383624593,
|
56 |
+
"lrap": 0.5567559136284704
|
57 |
+
},
|
58 |
+
{
|
59 |
+
"accuracy": 0.36083984375,
|
60 |
+
"f1": 0.4573978470370404,
|
61 |
+
"lrap": 0.5700819227430541
|
62 |
+
},
|
63 |
+
{
|
64 |
+
"accuracy": 0.3330078125,
|
65 |
+
"f1": 0.4555059472073264,
|
66 |
+
"lrap": 0.5551486545138872
|
67 |
+
}
|
68 |
+
]
|
69 |
+
}
|
70 |
+
]
|
71 |
+
},
|
72 |
+
"task_name": "SensitiveTopicsClassification"
|
73 |
+
}
|
results/Alibaba-NLP__gte-Qwen2-1.5B-instruct/c6c1b92f4a3e1b92b326ad29dd3c8433457df8dd/TERRa.json
ADDED
@@ -0,0 +1,58 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"dataset_revision": "7b58f24536063837d644aab9a023c62199b2a612",
|
3 |
+
"evaluation_time": 8.094063997268677,
|
4 |
+
"kg_co2_emissions": null,
|
5 |
+
"mteb_version": "1.19.2",
|
6 |
+
"scores": {
|
7 |
+
"dev": [
|
8 |
+
{
|
9 |
+
"cosine_accuracy": 0.6221498371335505,
|
10 |
+
"cosine_accuracy_threshold": 0.7010552883148193,
|
11 |
+
"cosine_ap": 0.60546979190962,
|
12 |
+
"cosine_f1": 0.6869158878504672,
|
13 |
+
"cosine_f1_threshold": 0.5825852155685425,
|
14 |
+
"cosine_precision": 0.5345454545454545,
|
15 |
+
"cosine_recall": 0.9607843137254902,
|
16 |
+
"dot_accuracy": 0.6221498371335505,
|
17 |
+
"dot_accuracy_threshold": 0.7010552883148193,
|
18 |
+
"dot_ap": 0.60546979190962,
|
19 |
+
"dot_f1": 0.6869158878504672,
|
20 |
+
"dot_f1_threshold": 0.5825852751731873,
|
21 |
+
"dot_precision": 0.5345454545454545,
|
22 |
+
"dot_recall": 0.9607843137254902,
|
23 |
+
"euclidean_accuracy": 0.6221498371335505,
|
24 |
+
"euclidean_accuracy_threshold": 0.7732328176498413,
|
25 |
+
"euclidean_ap": 0.60546979190962,
|
26 |
+
"euclidean_f1": 0.6869158878504672,
|
27 |
+
"euclidean_f1_threshold": 0.9136881232261658,
|
28 |
+
"euclidean_precision": 0.5345454545454545,
|
29 |
+
"euclidean_recall": 0.9607843137254902,
|
30 |
+
"hf_subset": "default",
|
31 |
+
"languages": [
|
32 |
+
"rus-Cyrl"
|
33 |
+
],
|
34 |
+
"main_score": 0.60546979190962,
|
35 |
+
"manhattan_accuracy": 0.6091205211726385,
|
36 |
+
"manhattan_accuracy_threshold": 23.17253875732422,
|
37 |
+
"manhattan_ap": 0.6018193054663248,
|
38 |
+
"manhattan_f1": 0.6804597701149424,
|
39 |
+
"manhattan_f1_threshold": 27.389568328857422,
|
40 |
+
"manhattan_precision": 0.524822695035461,
|
41 |
+
"manhattan_recall": 0.9673202614379085,
|
42 |
+
"max_accuracy": 0.6221498371335505,
|
43 |
+
"max_ap": 0.60546979190962,
|
44 |
+
"max_f1": 0.6869158878504672,
|
45 |
+
"max_precision": 0.5345454545454545,
|
46 |
+
"max_recall": 0.9673202614379085,
|
47 |
+
"similarity_accuracy": 0.6221498371335505,
|
48 |
+
"similarity_accuracy_threshold": 0.7010552883148193,
|
49 |
+
"similarity_ap": 0.60546979190962,
|
50 |
+
"similarity_f1": 0.6869158878504672,
|
51 |
+
"similarity_f1_threshold": 0.5825852155685425,
|
52 |
+
"similarity_precision": 0.5345454545454545,
|
53 |
+
"similarity_recall": 0.9607843137254902
|
54 |
+
}
|
55 |
+
]
|
56 |
+
},
|
57 |
+
"task_name": "TERRa"
|
58 |
+
}
|
results/Alibaba-NLP__gte-Qwen2-1.5B-instruct/c6c1b92f4a3e1b92b326ad29dd3c8433457df8dd/model_meta.json
ADDED
@@ -0,0 +1 @@
|
|
|
|
|
1 |
+
{"name": "Alibaba-NLP/gte-Qwen2-1.5B-instruct", "revision": "c6c1b92f4a3e1b92b326ad29dd3c8433457df8dd", "release_date": "2024-07-29", "languages": ["eng_Latn"], "n_parameters": 1780000000, "memory_usage": null, "max_tokens": 131072, "embed_dim": 8960, "license": "apache-2.0", "open_weights": true, "public_training_data": null, "public_training_code": null, "framework": ["Sentence Transformers", "PyTorch"], "reference": "https://huggingface.co/Alibaba-NLP/gte-Qwen2-1.5B-instruct", "similarity_fn_name": "cosine", "use_instructions": true, "zero_shot_benchmarks": null, "loader": "instruct_wrapper"}
|
results/Alibaba-NLP__gte-Qwen2-7B-instruct/e26182b2122f4435e8b3ebecbf363990f409b45b/CEDRClassification.json
CHANGED
@@ -6,64 +6,64 @@
|
|
6 |
"scores": {
|
7 |
"test": [
|
8 |
{
|
9 |
-
"accuracy": 0.
|
10 |
-
"f1": 0.
|
11 |
"hf_subset": "default",
|
12 |
"languages": [
|
13 |
"rus-Cyrl"
|
14 |
],
|
15 |
-
"lrap": 0.
|
16 |
-
"main_score": 0.
|
17 |
"scores_per_experiment": [
|
18 |
{
|
19 |
-
"accuracy": 0.
|
20 |
-
"f1": 0.
|
21 |
-
"lrap": 0.
|
22 |
},
|
23 |
{
|
24 |
-
"accuracy": 0.
|
25 |
-
"f1": 0.
|
26 |
-
"lrap": 0.
|
27 |
},
|
28 |
{
|
29 |
-
"accuracy": 0.
|
30 |
-
"f1": 0.
|
31 |
-
"lrap": 0.
|
32 |
},
|
33 |
{
|
34 |
-
"accuracy": 0.
|
35 |
-
"f1": 0.
|
36 |
-
"lrap": 0.
|
37 |
},
|
38 |
{
|
39 |
-
"accuracy": 0.
|
40 |
-
"f1": 0.
|
41 |
-
"lrap": 0.
|
42 |
},
|
43 |
{
|
44 |
-
"accuracy": 0.
|
45 |
-
"f1": 0.
|
46 |
-
"lrap": 0.
|
47 |
},
|
48 |
{
|
49 |
-
"accuracy": 0.
|
50 |
-
"f1": 0.
|
51 |
-
"lrap": 0.
|
52 |
},
|
53 |
{
|
54 |
-
"accuracy": 0.
|
55 |
-
"f1": 0.
|
56 |
-
"lrap": 0.
|
57 |
},
|
58 |
{
|
59 |
-
"accuracy": 0.
|
60 |
-
"f1": 0.
|
61 |
-
"lrap": 0.
|
62 |
},
|
63 |
{
|
64 |
-
"accuracy": 0.
|
65 |
-
"f1": 0.
|
66 |
-
"lrap": 0.
|
67 |
}
|
68 |
]
|
69 |
}
|
|
|
6 |
"scores": {
|
7 |
"test": [
|
8 |
{
|
9 |
+
"accuracy": 0.5278427205100956,
|
10 |
+
"f1": 0.5921989224887071,
|
11 |
"hf_subset": "default",
|
12 |
"languages": [
|
13 |
"rus-Cyrl"
|
14 |
],
|
15 |
+
"lrap": 0.8563602550478271,
|
16 |
+
"main_score": 0.5278427205100956,
|
17 |
"scores_per_experiment": [
|
18 |
{
|
19 |
+
"accuracy": 0.5472901168969182,
|
20 |
+
"f1": 0.6231915731616979,
|
21 |
+
"lrap": 0.8695005313496335
|
22 |
},
|
23 |
{
|
24 |
+
"accuracy": 0.502125398512221,
|
25 |
+
"f1": 0.5965022757364782,
|
26 |
+
"lrap": 0.8441551540913984
|
27 |
},
|
28 |
{
|
29 |
+
"accuracy": 0.5308182784272051,
|
30 |
+
"f1": 0.5907759632792869,
|
31 |
+
"lrap": 0.8546758767268918
|
32 |
},
|
33 |
{
|
34 |
+
"accuracy": 0.5557917109458024,
|
35 |
+
"f1": 0.6087947463545857,
|
36 |
+
"lrap": 0.8740701381509085
|
37 |
},
|
38 |
{
|
39 |
+
"accuracy": 0.5866099893730075,
|
40 |
+
"f1": 0.6140356617930539,
|
41 |
+
"lrap": 0.8620085015940544
|
42 |
},
|
43 |
{
|
44 |
+
"accuracy": 0.4914984059511158,
|
45 |
+
"f1": 0.5860852482396078,
|
46 |
+
"lrap": 0.8597768331562216
|
47 |
},
|
48 |
{
|
49 |
+
"accuracy": 0.49415515409139216,
|
50 |
+
"f1": 0.5662619403508564,
|
51 |
+
"lrap": 0.849734325185978
|
52 |
},
|
53 |
{
|
54 |
+
"accuracy": 0.5377258235919234,
|
55 |
+
"f1": 0.5785200123327568,
|
56 |
+
"lrap": 0.8406482465462339
|
57 |
},
|
58 |
{
|
59 |
+
"accuracy": 0.5292242295430393,
|
60 |
+
"f1": 0.6004224638445306,
|
61 |
+
"lrap": 0.8604675876726942
|
62 |
},
|
63 |
{
|
64 |
+
"accuracy": 0.5031880977683315,
|
65 |
+
"f1": 0.5573993397942165,
|
66 |
+
"lrap": 0.8485653560042566
|
67 |
}
|
68 |
]
|
69 |
}
|
results/Alibaba-NLP__gte-Qwen2-7B-instruct/e26182b2122f4435e8b3ebecbf363990f409b45b/GeoreviewClassification.json
ADDED
@@ -0,0 +1,73 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"dataset_revision": "3765c0d1de6b7d264bc459433c45e5a75513839c",
|
3 |
+
"evaluation_time": 453.26696705818176,
|
4 |
+
"kg_co2_emissions": null,
|
5 |
+
"mteb_version": "1.19.0",
|
6 |
+
"scores": {
|
7 |
+
"test": [
|
8 |
+
{
|
9 |
+
"accuracy": 0.600146484375,
|
10 |
+
"f1": 0.5785872759937656,
|
11 |
+
"f1_weighted": 0.5785346078310617,
|
12 |
+
"hf_subset": "default",
|
13 |
+
"languages": [
|
14 |
+
"rus-Cyrl"
|
15 |
+
],
|
16 |
+
"main_score": 0.600146484375,
|
17 |
+
"scores_per_experiment": [
|
18 |
+
{
|
19 |
+
"accuracy": 0.5888671875,
|
20 |
+
"f1": 0.561057257563129,
|
21 |
+
"f1_weighted": 0.560990135820034
|
22 |
+
},
|
23 |
+
{
|
24 |
+
"accuracy": 0.58837890625,
|
25 |
+
"f1": 0.554613821793309,
|
26 |
+
"f1_weighted": 0.5545248124700248
|
27 |
+
},
|
28 |
+
{
|
29 |
+
"accuracy": 0.609375,
|
30 |
+
"f1": 0.5876741838282947,
|
31 |
+
"f1_weighted": 0.5876103740996099
|
32 |
+
},
|
33 |
+
{
|
34 |
+
"accuracy": 0.60986328125,
|
35 |
+
"f1": 0.5874157051227198,
|
36 |
+
"f1_weighted": 0.5873556740591956
|
37 |
+
},
|
38 |
+
{
|
39 |
+
"accuracy": 0.5966796875,
|
40 |
+
"f1": 0.5765319732980858,
|
41 |
+
"f1_weighted": 0.5764661791524901
|
42 |
+
},
|
43 |
+
{
|
44 |
+
"accuracy": 0.5693359375,
|
45 |
+
"f1": 0.5596541863773145,
|
46 |
+
"f1_weighted": 0.5597054274104073
|
47 |
+
},
|
48 |
+
{
|
49 |
+
"accuracy": 0.61328125,
|
50 |
+
"f1": 0.5977133891466978,
|
51 |
+
"f1_weighted": 0.5976513645857018
|
52 |
+
},
|
53 |
+
{
|
54 |
+
"accuracy": 0.60595703125,
|
55 |
+
"f1": 0.5750309442619234,
|
56 |
+
"f1_weighted": 0.5749562602742928
|
57 |
+
},
|
58 |
+
{
|
59 |
+
"accuracy": 0.611328125,
|
60 |
+
"f1": 0.5931787267140416,
|
61 |
+
"f1_weighted": 0.5931291831938417
|
62 |
+
},
|
63 |
+
{
|
64 |
+
"accuracy": 0.6083984375,
|
65 |
+
"f1": 0.5930025718321394,
|
66 |
+
"f1_weighted": 0.5929566672450189
|
67 |
+
}
|
68 |
+
]
|
69 |
+
}
|
70 |
+
]
|
71 |
+
},
|
72 |
+
"task_name": "GeoreviewClassification"
|
73 |
+
}
|
results/Alibaba-NLP__gte-Qwen2-7B-instruct/e26182b2122f4435e8b3ebecbf363990f409b45b/GeoreviewClusteringP2P.json
ADDED
@@ -0,0 +1,34 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"dataset_revision": "97a313c8fc85b47f13f33e7e9a95c1ad888c7fec",
|
3 |
+
"evaluation_time": 372.32498264312744,
|
4 |
+
"kg_co2_emissions": null,
|
5 |
+
"mteb_version": "1.19.0",
|
6 |
+
"scores": {
|
7 |
+
"test": [
|
8 |
+
{
|
9 |
+
"hf_subset": "default",
|
10 |
+
"languages": [
|
11 |
+
"rus-Cyrl"
|
12 |
+
],
|
13 |
+
"main_score": 0.7831573824829378,
|
14 |
+
"v_measure": 0.7831573824829378,
|
15 |
+
"v_measure_std": 0.0031176989278815246,
|
16 |
+
"v_measures": {
|
17 |
+
"Level 0": [
|
18 |
+
0.7825843607194956,
|
19 |
+
0.7849570432841764,
|
20 |
+
0.7891721456884293,
|
21 |
+
0.7862151642070009,
|
22 |
+
0.7838741734961716,
|
23 |
+
0.7823980581391391,
|
24 |
+
0.7778534604374112,
|
25 |
+
0.7803934305692242,
|
26 |
+
0.7799595239299798,
|
27 |
+
0.78416646435835
|
28 |
+
]
|
29 |
+
}
|
30 |
+
}
|
31 |
+
]
|
32 |
+
},
|
33 |
+
"task_name": "GeoreviewClusteringP2P"
|
34 |
+
}
|
results/Alibaba-NLP__gte-Qwen2-7B-instruct/e26182b2122f4435e8b3ebecbf363990f409b45b/HeadlineClassification.json
ADDED
@@ -0,0 +1,73 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"dataset_revision": "2fe05ee6b5832cda29f2ef7aaad7b7fe6a3609eb",
|
3 |
+
"evaluation_time": 134.56600427627563,
|
4 |
+
"kg_co2_emissions": null,
|
5 |
+
"mteb_version": "1.19.0",
|
6 |
+
"scores": {
|
7 |
+
"test": [
|
8 |
+
{
|
9 |
+
"accuracy": 0.76376953125,
|
10 |
+
"f1": 0.7678292655168574,
|
11 |
+
"f1_weighted": 0.7677914449429452,
|
12 |
+
"hf_subset": "default",
|
13 |
+
"languages": [
|
14 |
+
"rus-Cyrl"
|
15 |
+
],
|
16 |
+
"main_score": 0.76376953125,
|
17 |
+
"scores_per_experiment": [
|
18 |
+
{
|
19 |
+
"accuracy": 0.765625,
|
20 |
+
"f1": 0.7712627436907281,
|
21 |
+
"f1_weighted": 0.7712322526359106
|
22 |
+
},
|
23 |
+
{
|
24 |
+
"accuracy": 0.77197265625,
|
25 |
+
"f1": 0.774913236114959,
|
26 |
+
"f1_weighted": 0.7748773489461512
|
27 |
+
},
|
28 |
+
{
|
29 |
+
"accuracy": 0.74951171875,
|
30 |
+
"f1": 0.7551607063589735,
|
31 |
+
"f1_weighted": 0.7551204826205611
|
32 |
+
},
|
33 |
+
{
|
34 |
+
"accuracy": 0.75634765625,
|
35 |
+
"f1": 0.762757017754281,
|
36 |
+
"f1_weighted": 0.7627145153671681
|
37 |
+
},
|
38 |
+
{
|
39 |
+
"accuracy": 0.75634765625,
|
40 |
+
"f1": 0.7620127891714809,
|
41 |
+
"f1_weighted": 0.7619696533603255
|
42 |
+
},
|
43 |
+
{
|
44 |
+
"accuracy": 0.75927734375,
|
45 |
+
"f1": 0.7643488366801355,
|
46 |
+
"f1_weighted": 0.7642998875782314
|
47 |
+
},
|
48 |
+
{
|
49 |
+
"accuracy": 0.7705078125,
|
50 |
+
"f1": 0.7735130202890201,
|
51 |
+
"f1_weighted": 0.7734671689226726
|
52 |
+
},
|
53 |
+
{
|
54 |
+
"accuracy": 0.76611328125,
|
55 |
+
"f1": 0.7671860750171898,
|
56 |
+
"f1_weighted": 0.7671701757864748
|
57 |
+
},
|
58 |
+
{
|
59 |
+
"accuracy": 0.76708984375,
|
60 |
+
"f1": 0.7700081895326587,
|
61 |
+
"f1_weighted": 0.7699714722946819
|
62 |
+
},
|
63 |
+
{
|
64 |
+
"accuracy": 0.77490234375,
|
65 |
+
"f1": 0.7771300405591465,
|
66 |
+
"f1_weighted": 0.7770914919172744
|
67 |
+
}
|
68 |
+
]
|
69 |
+
}
|
70 |
+
]
|
71 |
+
},
|
72 |
+
"task_name": "HeadlineClassification"
|
73 |
+
}
|