Added Hinvec results (#226)
Browse files* Adding Hinvec Results.
* Adding results of Sailesh97/Hinvec
- results/Sailesh97__Hinvec/d4fc678720cc1b8c5d18599ce2d9a4d6090c8b6b/BelebeleRetrieval.json +0 -0
- results/Sailesh97__Hinvec/d4fc678720cc1b8c5d18599ce2d9a4d6090c8b6b/BengaliSentimentAnalysis.json +95 -0
- results/Sailesh97__Hinvec/d4fc678720cc1b8c5d18599ce2d9a4d6090c8b6b/GujaratiNewsClassification.json +73 -0
- results/Sailesh97__Hinvec/d4fc678720cc1b8c5d18599ce2d9a4d6090c8b6b/HindiDiscourseClassification.json +73 -0
- results/Sailesh97__Hinvec/d4fc678720cc1b8c5d18599ce2d9a4d6090c8b6b/IN22ConvBitextMining.json +0 -0
- results/Sailesh97__Hinvec/d4fc678720cc1b8c5d18599ce2d9a4d6090c8b6b/IN22GenBitextMining.json +0 -0
- results/Sailesh97__Hinvec/d4fc678720cc1b8c5d18599ce2d9a4d6090c8b6b/IndicCrosslingualSTS.json +203 -0
- results/Sailesh97__Hinvec/d4fc678720cc1b8c5d18599ce2d9a4d6090c8b6b/IndicGenBenchFloresBitextMining.json +61 -0
- results/Sailesh97__Hinvec/d4fc678720cc1b8c5d18599ce2d9a4d6090c8b6b/IndicLangClassification.json +96 -0
- results/Sailesh97__Hinvec/d4fc678720cc1b8c5d18599ce2d9a4d6090c8b6b/LinceMTBitextMining.json +23 -0
- results/Sailesh97__Hinvec/d4fc678720cc1b8c5d18599ce2d9a4d6090c8b6b/MTOPIntentClassification.json +137 -0
- results/Sailesh97__Hinvec/d4fc678720cc1b8c5d18599ce2d9a4d6090c8b6b/MalayalamNewsClassification.json +73 -0
- results/Sailesh97__Hinvec/d4fc678720cc1b8c5d18599ce2d9a4d6090c8b6b/MultiHateClassification.json +95 -0
- results/Sailesh97__Hinvec/d4fc678720cc1b8c5d18599ce2d9a4d6090c8b6b/NepaliNewsClassification.json +73 -0
- results/Sailesh97__Hinvec/d4fc678720cc1b8c5d18599ce2d9a4d6090c8b6b/PunjabiNewsClassification.json +95 -0
- results/Sailesh97__Hinvec/d4fc678720cc1b8c5d18599ce2d9a4d6090c8b6b/SIB200ClusteringS2S.json +494 -0
- results/Sailesh97__Hinvec/d4fc678720cc1b8c5d18599ce2d9a4d6090c8b6b/SanskritShlokasClassification.json +137 -0
- results/Sailesh97__Hinvec/d4fc678720cc1b8c5d18599ce2d9a4d6090c8b6b/SentimentAnalysisHindi.json +73 -0
- results/Sailesh97__Hinvec/d4fc678720cc1b8c5d18599ce2d9a4d6090c8b6b/TweetSentimentClassification.json +73 -0
- results/Sailesh97__Hinvec/d4fc678720cc1b8c5d18599ce2d9a4d6090c8b6b/UrduRomanSentimentClassification.json +73 -0
- results/Sailesh97__Hinvec/d4fc678720cc1b8c5d18599ce2d9a4d6090c8b6b/WikipediaRerankingMultilingual.json +41 -0
- results/Sailesh97__Hinvec/d4fc678720cc1b8c5d18599ce2d9a4d6090c8b6b/XNLI.json +107 -0
- results/Sailesh97__Hinvec/d4fc678720cc1b8c5d18599ce2d9a4d6090c8b6b/XQuADRetrieval.json +158 -0
- results/Sailesh97__Hinvec/d4fc678720cc1b8c5d18599ce2d9a4d6090c8b6b/model_meta.json +1 -0
results/Sailesh97__Hinvec/d4fc678720cc1b8c5d18599ce2d9a4d6090c8b6b/BelebeleRetrieval.json
ADDED
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results/Sailesh97__Hinvec/d4fc678720cc1b8c5d18599ce2d9a4d6090c8b6b/BengaliSentimentAnalysis.json
ADDED
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{
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"dataset_revision": "a4b3685b1854cc26c554dda4c7cb918a36a6fb6c",
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"task_name": "BengaliSentimentAnalysis",
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"mteb_version": "1.38.30",
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"scores": {
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"train": [
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{
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"accuracy": 0.5396,
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"f1": 0.500113,
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"f1_weighted": 0.558233,
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"ap": 0.72935,
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"ap_weighted": 0.72935,
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"scores_per_experiment": [
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{
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"accuracy": 0.474121,
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"f1": 0.468261,
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"f1_weighted": 0.492792,
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"ap": 0.732543,
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"ap_weighted": 0.732543
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},
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{
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"accuracy": 0.492676,
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"f1": 0.4828,
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"f1_weighted": 0.514207,
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"ap": 0.734656,
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"ap_weighted": 0.734656
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},
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{
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"accuracy": 0.547363,
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"f1": 0.515005,
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"f1_weighted": 0.570057,
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"ap": 0.735529,
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"ap_weighted": 0.735529
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},
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{
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"accuracy": 0.602539,
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"f1": 0.527534,
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"f1_weighted": 0.61026,
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"ap": 0.732023,
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"ap_weighted": 0.732023
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},
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{
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"accuracy": 0.581543,
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"f1": 0.517328,
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"f1_weighted": 0.594695,
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"ap": 0.728804,
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"ap_weighted": 0.728804
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},
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{
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"accuracy": 0.560547,
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"f1": 0.50204,
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"f1_weighted": 0.577049,
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"ap": 0.722987,
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"ap_weighted": 0.722987
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},
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{
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"accuracy": 0.515625,
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"f1": 0.49581,
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"f1_weighted": 0.539734,
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"ap": 0.732716,
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"ap_weighted": 0.732716
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},
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{
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"accuracy": 0.585449,
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"f1": 0.523392,
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"f1_weighted": 0.598969,
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"ap": 0.731742,
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"ap_weighted": 0.731742
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},
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{
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"accuracy": 0.503418,
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"f1": 0.466756,
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"f1_weighted": 0.528201,
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"ap": 0.71225,
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"ap_weighted": 0.71225
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},
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{
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"accuracy": 0.532715,
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"f1": 0.502208,
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"f1_weighted": 0.556363,
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"ap": 0.730245,
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"ap_weighted": 0.730245
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}
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],
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"main_score": 0.500113,
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"hf_subset": "default",
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"languages": [
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"ben-Beng"
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]
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}
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]
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},
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"evaluation_time": 119.4375410079956,
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"kg_co2_emissions": null
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}
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results/Sailesh97__Hinvec/d4fc678720cc1b8c5d18599ce2d9a4d6090c8b6b/GujaratiNewsClassification.json
ADDED
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{
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"dataset_revision": "1a5f2fa2914bfeff4fcdc6fff4194fa8ec8fa19e",
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"task_name": "GujaratiNewsClassification",
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"mteb_version": "1.38.30",
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"scores": {
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"test": [
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{
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"accuracy": 0.463354,
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"f1": 0.457946,
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"f1_weighted": 0.467136,
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"scores_per_experiment": [
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{
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"accuracy": 0.484067,
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"f1": 0.484632,
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"f1_weighted": 0.50609
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},
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{
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"accuracy": 0.433991,
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"f1": 0.429658,
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"f1_weighted": 0.438257
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},
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{
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"accuracy": 0.449165,
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"f1": 0.443331,
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"f1_weighted": 0.457906
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},
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{
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"accuracy": 0.440061,
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"f1": 0.432535,
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"f1_weighted": 0.442558
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},
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{
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"accuracy": 0.447648,
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"f1": 0.454185,
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"f1_weighted": 0.443672
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},
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{
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"accuracy": 0.519727,
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"f1": 0.521608,
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"f1_weighted": 0.521961
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},
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{
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"accuracy": 0.462822,
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"f1": 0.453687,
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"f1_weighted": 0.479159
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},
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{
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"accuracy": 0.538695,
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"f1": 0.517286,
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"f1_weighted": 0.536211
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},
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{
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"accuracy": 0.435508,
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"f1": 0.418152,
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"f1_weighted": 0.422411
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},
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{
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"accuracy": 0.421851,
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"f1": 0.424385,
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"f1_weighted": 0.423139
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}
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],
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"main_score": 0.463354,
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"hf_subset": "default",
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"languages": [
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"guj-Gujr"
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]
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}
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]
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},
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"evaluation_time": 58.837788820266724,
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| 72 |
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"kg_co2_emissions": null
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| 73 |
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}
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results/Sailesh97__Hinvec/d4fc678720cc1b8c5d18599ce2d9a4d6090c8b6b/HindiDiscourseClassification.json
ADDED
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{
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"dataset_revision": "218ce687943a0da435d6d62751a4ab216be6cd40",
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| 3 |
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"task_name": "HindiDiscourseClassification",
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| 4 |
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"mteb_version": "1.38.30",
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| 5 |
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"scores": {
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| 6 |
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"train": [
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{
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| 8 |
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"accuracy": 0.506885,
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| 9 |
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"f1": 0.380896,
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"f1_weighted": 0.542776,
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"scores_per_experiment": [
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{
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"accuracy": 0.494141,
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"f1": 0.358637,
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"f1_weighted": 0.541825
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},
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{
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"accuracy": 0.513672,
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| 19 |
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"f1": 0.393973,
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"f1_weighted": 0.540734
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},
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{
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| 23 |
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"accuracy": 0.543457,
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| 24 |
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"f1": 0.395137,
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| 25 |
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"f1_weighted": 0.589294
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| 26 |
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},
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{
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| 28 |
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"accuracy": 0.449219,
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| 29 |
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"f1": 0.337105,
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| 30 |
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"f1_weighted": 0.480569
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| 31 |
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},
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{
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| 33 |
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"accuracy": 0.460938,
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| 34 |
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"f1": 0.353526,
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| 35 |
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"f1_weighted": 0.491463
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},
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{
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"accuracy": 0.512695,
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| 39 |
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"f1": 0.401698,
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| 40 |
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"f1_weighted": 0.536773
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| 41 |
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},
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{
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| 43 |
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"accuracy": 0.567871,
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| 44 |
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"f1": 0.418374,
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| 45 |
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"f1_weighted": 0.603057
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},
|
| 47 |
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{
|
| 48 |
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"accuracy": 0.489258,
|
| 49 |
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"f1": 0.375362,
|
| 50 |
+
"f1_weighted": 0.516744
|
| 51 |
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},
|
| 52 |
+
{
|
| 53 |
+
"accuracy": 0.464355,
|
| 54 |
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"f1": 0.34455,
|
| 55 |
+
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|
| 56 |
+
},
|
| 57 |
+
{
|
| 58 |
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"accuracy": 0.573242,
|
| 59 |
+
"f1": 0.4306,
|
| 60 |
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"f1_weighted": 0.616451
|
| 61 |
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|
| 62 |
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],
|
| 63 |
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"main_score": 0.506885,
|
| 64 |
+
"hf_subset": "default",
|
| 65 |
+
"languages": [
|
| 66 |
+
"hin-Deva"
|
| 67 |
+
]
|
| 68 |
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}
|
| 69 |
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]
|
| 70 |
+
},
|
| 71 |
+
"evaluation_time": 42.62646460533142,
|
| 72 |
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"kg_co2_emissions": null
|
| 73 |
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|
results/Sailesh97__Hinvec/d4fc678720cc1b8c5d18599ce2d9a4d6090c8b6b/IN22ConvBitextMining.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
results/Sailesh97__Hinvec/d4fc678720cc1b8c5d18599ce2d9a4d6090c8b6b/IN22GenBitextMining.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
results/Sailesh97__Hinvec/d4fc678720cc1b8c5d18599ce2d9a4d6090c8b6b/IndicCrosslingualSTS.json
ADDED
|
@@ -0,0 +1,203 @@
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|
| 1 |
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{
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| 2 |
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"dataset_revision": "0ca7b87dda68ef4ebb2f50a20a62b9dbebcac3e4",
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| 34 |
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| 35 |
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|
| 36 |
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| 37 |
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| 38 |
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| 39 |
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|
| 40 |
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|
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|
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|
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|
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| 179 |
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|
| 180 |
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|
| 181 |
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|
| 182 |
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| 183 |
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| 184 |
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|
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| 192 |
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|
| 193 |
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|
| 194 |
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|
| 195 |
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"eng-Latn",
|
| 196 |
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|
| 197 |
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|
| 198 |
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|
| 199 |
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|
| 200 |
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|
| 201 |
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|
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|
| 203 |
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|
results/Sailesh97__Hinvec/d4fc678720cc1b8c5d18599ce2d9a4d6090c8b6b/IndicGenBenchFloresBitextMining.json
ADDED
|
@@ -0,0 +1,61 @@
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|
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|
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|
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|
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|
|
|
| 1 |
+
{
|
| 2 |
+
"dataset_revision": "f8650438298df086750ff4973661bb58a201a5ee",
|
| 3 |
+
"task_name": "IndicGenBenchFloresBitextMining",
|
| 4 |
+
"mteb_version": "1.38.30",
|
| 5 |
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"scores": {
|
| 6 |
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"validation": [
|
| 7 |
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{
|
| 8 |
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|
| 9 |
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|
| 10 |
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|
| 11 |
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|
| 12 |
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|
| 13 |
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|
| 14 |
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|
| 15 |
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"hin-Deva",
|
| 16 |
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"eng-Latn"
|
| 17 |
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]
|
| 18 |
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},
|
| 19 |
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{
|
| 20 |
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|
| 21 |
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|
| 22 |
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|
| 23 |
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|
| 24 |
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|
| 25 |
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|
| 26 |
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"languages": [
|
| 27 |
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|
| 28 |
+
"hin-Deva"
|
| 29 |
+
]
|
| 30 |
+
}
|
| 31 |
+
],
|
| 32 |
+
"test": [
|
| 33 |
+
{
|
| 34 |
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"precision": 0.982213,
|
| 35 |
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"recall": 0.988142,
|
| 36 |
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"f1": 0.98419,
|
| 37 |
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"accuracy": 0.988142,
|
| 38 |
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|
| 39 |
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"hf_subset": "hin-eng",
|
| 40 |
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"languages": [
|
| 41 |
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"hin-Deva",
|
| 42 |
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"eng-Latn"
|
| 43 |
+
]
|
| 44 |
+
},
|
| 45 |
+
{
|
| 46 |
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"precision": 0.989954,
|
| 47 |
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|
| 48 |
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|
| 49 |
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|
| 50 |
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|
| 51 |
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|
| 52 |
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|
| 53 |
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"eng-Latn",
|
| 54 |
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"hin-Deva"
|
| 55 |
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]
|
| 56 |
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}
|
| 57 |
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|
| 58 |
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|
| 59 |
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"evaluation_time": 139.14086055755615,
|
| 60 |
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|
| 61 |
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|
results/Sailesh97__Hinvec/d4fc678720cc1b8c5d18599ce2d9a4d6090c8b6b/IndicLangClassification.json
ADDED
|
@@ -0,0 +1,96 @@
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|
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|
|
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|
|
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|
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|
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|
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|
|
|
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|
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|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
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|
|
|
|
|
|
|
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|
|
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|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
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{
|
| 2 |
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"dataset_revision": "c54a95d9b9d62c891a03bd5da60715df7176b097",
|
| 3 |
+
"task_name": "IndicLangClassification",
|
| 4 |
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"mteb_version": "1.38.30",
|
| 5 |
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|
| 6 |
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|
| 7 |
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|
| 8 |
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|
| 9 |
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|
| 10 |
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|
| 11 |
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|
| 12 |
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{
|
| 13 |
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|
| 14 |
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"f1": 0.567203,
|
| 15 |
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|
| 16 |
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|
| 17 |
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{
|
| 18 |
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|
| 19 |
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|
| 20 |
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|
| 21 |
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},
|
| 22 |
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{
|
| 23 |
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"accuracy": 0.537905,
|
| 24 |
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"f1": 0.550774,
|
| 25 |
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|
| 26 |
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},
|
| 27 |
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{
|
| 28 |
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"accuracy": 0.539483,
|
| 29 |
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"f1": 0.548573,
|
| 30 |
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"f1_weighted": 0.540289
|
| 31 |
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},
|
| 32 |
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{
|
| 33 |
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"accuracy": 0.579197,
|
| 34 |
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|
| 35 |
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|
| 36 |
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},
|
| 37 |
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{
|
| 38 |
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"accuracy": 0.555493,
|
| 39 |
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"f1": 0.560808,
|
| 40 |
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"f1_weighted": 0.55933
|
| 41 |
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},
|
| 42 |
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{
|
| 43 |
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"accuracy": 0.536163,
|
| 44 |
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"f1": 0.554534,
|
| 45 |
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"f1_weighted": 0.544409
|
| 46 |
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},
|
| 47 |
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{
|
| 48 |
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"accuracy": 0.552502,
|
| 49 |
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"f1": 0.562609,
|
| 50 |
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|
| 51 |
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},
|
| 52 |
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{
|
| 53 |
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"accuracy": 0.555165,
|
| 54 |
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"f1": 0.569065,
|
| 55 |
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"f1_weighted": 0.561937
|
| 56 |
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},
|
| 57 |
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{
|
| 58 |
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"accuracy": 0.555296,
|
| 59 |
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"f1": 0.565541,
|
| 60 |
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"f1_weighted": 0.560966
|
| 61 |
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}
|
| 62 |
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],
|
| 63 |
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"main_score": 0.55165,
|
| 64 |
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"hf_subset": "default",
|
| 65 |
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"languages": [
|
| 66 |
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"asm-Beng",
|
| 67 |
+
"brx-Deva",
|
| 68 |
+
"ben-Beng",
|
| 69 |
+
"doi-Deva",
|
| 70 |
+
"gom-Deva",
|
| 71 |
+
"guj-Gujr",
|
| 72 |
+
"hin-Deva",
|
| 73 |
+
"kan-Knda",
|
| 74 |
+
"kas-Arab",
|
| 75 |
+
"kas-Deva",
|
| 76 |
+
"mai-Deva",
|
| 77 |
+
"mal-Mlym",
|
| 78 |
+
"mar-Deva",
|
| 79 |
+
"mni-Beng",
|
| 80 |
+
"mni-Mtei",
|
| 81 |
+
"npi-Deva",
|
| 82 |
+
"ory-Orya",
|
| 83 |
+
"pan-Guru",
|
| 84 |
+
"san-Deva",
|
| 85 |
+
"sat-Olck",
|
| 86 |
+
"snd-Arab",
|
| 87 |
+
"tam-Taml",
|
| 88 |
+
"tel-Telu",
|
| 89 |
+
"urd-Arab"
|
| 90 |
+
]
|
| 91 |
+
}
|
| 92 |
+
]
|
| 93 |
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},
|
| 94 |
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"evaluation_time": 1037.6013538837433,
|
| 95 |
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|
| 96 |
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|
results/Sailesh97__Hinvec/d4fc678720cc1b8c5d18599ce2d9a4d6090c8b6b/LinceMTBitextMining.json
ADDED
|
@@ -0,0 +1,23 @@
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|
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|
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|
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|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"dataset_revision": "483f2494f76fdc04acbbdbbac129de1925b34215",
|
| 3 |
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"task_name": "LinceMTBitextMining",
|
| 4 |
+
"mteb_version": "1.38.30",
|
| 5 |
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"scores": {
|
| 6 |
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"train": [
|
| 7 |
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{
|
| 8 |
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|
| 9 |
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"recall": 0.340117,
|
| 10 |
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|
| 11 |
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|
| 12 |
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|
| 13 |
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"hf_subset": "eng-eng_hin",
|
| 14 |
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"languages": [
|
| 15 |
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"eng-Latn",
|
| 16 |
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"hin-Latn"
|
| 17 |
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]
|
| 18 |
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}
|
| 19 |
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|
| 20 |
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},
|
| 21 |
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"evaluation_time": 242.40082168579102,
|
| 22 |
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|
| 23 |
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|
results/Sailesh97__Hinvec/d4fc678720cc1b8c5d18599ce2d9a4d6090c8b6b/MTOPIntentClassification.json
ADDED
|
@@ -0,0 +1,137 @@
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|
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|
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|
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|
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|
|
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|
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|
| 1 |
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{
|
| 2 |
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"dataset_revision": "ae001d0e6b1228650b7bd1c2c65fb50ad11a8aba",
|
| 3 |
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|
| 4 |
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|
| 5 |
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|
| 6 |
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|
| 7 |
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|
| 9 |
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|
| 10 |
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|
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|
| 12 |
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|
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|
| 14 |
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|
| 15 |
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|
| 16 |
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|
| 17 |
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|
| 18 |
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|
| 19 |
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|
| 20 |
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| 21 |
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|
| 22 |
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| 23 |
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|
| 24 |
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|
| 25 |
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|
| 26 |
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| 27 |
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|
| 28 |
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|
| 29 |
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|
| 30 |
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| 31 |
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|
| 32 |
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|
| 33 |
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|
| 34 |
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|
| 35 |
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| 36 |
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|
| 37 |
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| 38 |
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|
| 39 |
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|
| 40 |
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| 41 |
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| 42 |
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| 43 |
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| 48 |
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| 54 |
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| 57 |
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| 58 |
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|
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| 61 |
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| 62 |
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|
| 63 |
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|
| 64 |
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|
| 65 |
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| 66 |
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|
| 67 |
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|
| 68 |
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|
| 69 |
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|
| 70 |
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|
| 71 |
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|
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|
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|
| 126 |
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|
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|
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|
| 129 |
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|
| 130 |
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|
| 131 |
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|
| 132 |
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|
| 133 |
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]
|
| 134 |
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|
| 135 |
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|
| 136 |
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| 137 |
+
}
|
results/Sailesh97__Hinvec/d4fc678720cc1b8c5d18599ce2d9a4d6090c8b6b/MalayalamNewsClassification.json
ADDED
|
@@ -0,0 +1,73 @@
|
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|
| 1 |
+
{
|
| 2 |
+
"dataset_revision": "666f63bba2387456d8f846ea4d0565181bd47b81",
|
| 3 |
+
"task_name": "MalayalamNewsClassification",
|
| 4 |
+
"mteb_version": "1.38.30",
|
| 5 |
+
"scores": {
|
| 6 |
+
"test": [
|
| 7 |
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{
|
| 8 |
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"accuracy": 0.405714,
|
| 9 |
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"f1": 0.40239,
|
| 10 |
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"f1_weighted": 0.402022,
|
| 11 |
+
"scores_per_experiment": [
|
| 12 |
+
{
|
| 13 |
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"accuracy": 0.461905,
|
| 14 |
+
"f1": 0.46116,
|
| 15 |
+
"f1_weighted": 0.459947
|
| 16 |
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|
| 17 |
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{
|
| 18 |
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"accuracy": 0.407143,
|
| 19 |
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"f1": 0.403114,
|
| 20 |
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|
| 21 |
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|
| 22 |
+
{
|
| 23 |
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"accuracy": 0.410317,
|
| 24 |
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"f1": 0.40315,
|
| 25 |
+
"f1_weighted": 0.401155
|
| 26 |
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},
|
| 27 |
+
{
|
| 28 |
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"accuracy": 0.338889,
|
| 29 |
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"f1": 0.327493,
|
| 30 |
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"f1_weighted": 0.332671
|
| 31 |
+
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|
| 32 |
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{
|
| 33 |
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"accuracy": 0.455556,
|
| 34 |
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"f1": 0.449851,
|
| 35 |
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"f1_weighted": 0.451768
|
| 36 |
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|
| 37 |
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{
|
| 38 |
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"accuracy": 0.411905,
|
| 39 |
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"f1": 0.408367,
|
| 40 |
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"f1_weighted": 0.407041
|
| 41 |
+
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|
| 42 |
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{
|
| 43 |
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|
| 44 |
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"f1": 0.392551,
|
| 45 |
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"f1_weighted": 0.392421
|
| 46 |
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|
| 47 |
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{
|
| 48 |
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"accuracy": 0.39127,
|
| 49 |
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"f1": 0.390352,
|
| 50 |
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"f1_weighted": 0.388692
|
| 51 |
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},
|
| 52 |
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{
|
| 53 |
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"accuracy": 0.416667,
|
| 54 |
+
"f1": 0.416736,
|
| 55 |
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"f1_weighted": 0.416273
|
| 56 |
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},
|
| 57 |
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{
|
| 58 |
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"accuracy": 0.370635,
|
| 59 |
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"f1": 0.371128,
|
| 60 |
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"f1_weighted": 0.368397
|
| 61 |
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}
|
| 62 |
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],
|
| 63 |
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"main_score": 0.405714,
|
| 64 |
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"hf_subset": "default",
|
| 65 |
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"languages": [
|
| 66 |
+
"mal-Mlym"
|
| 67 |
+
]
|
| 68 |
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}
|
| 69 |
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]
|
| 70 |
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},
|
| 71 |
+
"evaluation_time": 85.51849627494812,
|
| 72 |
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|
| 73 |
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|
results/Sailesh97__Hinvec/d4fc678720cc1b8c5d18599ce2d9a4d6090c8b6b/MultiHateClassification.json
ADDED
|
@@ -0,0 +1,95 @@
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|
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|
|
|
| 1 |
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{
|
| 2 |
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"dataset_revision": "8f95949846bb9e33c6aaf730ccfdb8fe6bcfb7a9",
|
| 3 |
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"task_name": "MultiHateClassification",
|
| 4 |
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"mteb_version": "1.38.30",
|
| 5 |
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|
| 6 |
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"test": [
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| 7 |
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| 8 |
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| 9 |
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| 10 |
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| 11 |
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| 12 |
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|
| 13 |
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|
| 14 |
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| 15 |
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|
| 16 |
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|
| 17 |
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| 18 |
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| 19 |
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| 20 |
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| 21 |
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{
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| 22 |
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|
| 23 |
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| 24 |
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| 25 |
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| 26 |
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| 27 |
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| 28 |
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{
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| 29 |
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"accuracy": 0.649,
|
| 30 |
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"f1": 0.571625,
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| 31 |
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|
| 32 |
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|
| 33 |
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|
| 34 |
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| 35 |
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{
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| 36 |
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"accuracy": 0.553,
|
| 37 |
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| 38 |
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"f1_weighted": 0.57052,
|
| 39 |
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"ap": 0.32087,
|
| 40 |
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"ap_weighted": 0.32087
|
| 41 |
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|
| 42 |
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{
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| 43 |
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| 44 |
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| 45 |
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| 46 |
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| 47 |
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| 48 |
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|
| 49 |
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{
|
| 50 |
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|
| 51 |
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| 52 |
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|
| 53 |
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"ap": 0.356974,
|
| 54 |
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|
| 55 |
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| 56 |
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{
|
| 57 |
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"accuracy": 0.61,
|
| 58 |
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|
| 59 |
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| 60 |
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| 61 |
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| 62 |
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| 63 |
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{
|
| 64 |
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|
| 65 |
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"f1": 0.518812,
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| 66 |
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|
| 67 |
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"ap": 0.315326,
|
| 68 |
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"ap_weighted": 0.315326
|
| 69 |
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|
| 70 |
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|
| 71 |
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"accuracy": 0.597,
|
| 72 |
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| 73 |
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|
| 74 |
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|
| 75 |
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"ap_weighted": 0.320307
|
| 76 |
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|
| 77 |
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{
|
| 78 |
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"accuracy": 0.468,
|
| 79 |
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|
| 80 |
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|
| 81 |
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|
| 82 |
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| 83 |
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}
|
| 84 |
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|
| 85 |
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"main_score": 0.5738,
|
| 86 |
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"hf_subset": "hin",
|
| 87 |
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|
| 88 |
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"hin-Deva"
|
| 89 |
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]
|
| 90 |
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}
|
| 91 |
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|
| 92 |
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},
|
| 93 |
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"evaluation_time": 17.595994234085083,
|
| 94 |
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|
| 95 |
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}
|
results/Sailesh97__Hinvec/d4fc678720cc1b8c5d18599ce2d9a4d6090c8b6b/NepaliNewsClassification.json
ADDED
|
@@ -0,0 +1,73 @@
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|
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|
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|
|
|
| 1 |
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{
|
| 2 |
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"dataset_revision": "79125f20d858a08f71ec4923169a6545221725c4",
|
| 3 |
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"task_name": "NepaliNewsClassification",
|
| 4 |
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"mteb_version": "1.38.30",
|
| 5 |
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"scores": {
|
| 6 |
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"train": [
|
| 7 |
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{
|
| 8 |
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"accuracy": 0.924561,
|
| 9 |
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"f1": 0.924133,
|
| 10 |
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"f1_weighted": 0.924472,
|
| 11 |
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"scores_per_experiment": [
|
| 12 |
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{
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| 13 |
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"accuracy": 0.936523,
|
| 14 |
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|
| 15 |
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"f1_weighted": 0.936544
|
| 16 |
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},
|
| 17 |
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{
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| 18 |
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"accuracy": 0.881836,
|
| 19 |
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| 20 |
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| 21 |
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| 22 |
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| 23 |
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| 24 |
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| 25 |
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"f1_weighted": 0.944882
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| 26 |
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},
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| 27 |
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{
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| 28 |
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"accuracy": 0.918457,
|
| 29 |
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"f1": 0.917218,
|
| 30 |
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"f1_weighted": 0.91802
|
| 31 |
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},
|
| 32 |
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{
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| 33 |
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"accuracy": 0.93457,
|
| 34 |
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"f1": 0.934546,
|
| 35 |
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"f1_weighted": 0.934775
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| 36 |
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},
|
| 37 |
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{
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| 38 |
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"accuracy": 0.935059,
|
| 39 |
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"f1": 0.934757,
|
| 40 |
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|
| 41 |
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|
| 42 |
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| 43 |
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"accuracy": 0.906738,
|
| 44 |
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|
| 45 |
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| 46 |
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|
| 47 |
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{
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| 48 |
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|
| 49 |
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"f1": 0.927593,
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| 50 |
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"f1_weighted": 0.928184
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| 51 |
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},
|
| 52 |
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{
|
| 53 |
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"accuracy": 0.924316,
|
| 54 |
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"f1": 0.923739,
|
| 55 |
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"f1_weighted": 0.924565
|
| 56 |
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|
| 57 |
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{
|
| 58 |
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"accuracy": 0.935059,
|
| 59 |
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|
| 60 |
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|
| 61 |
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}
|
| 62 |
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],
|
| 63 |
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"main_score": 0.924561,
|
| 64 |
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"hf_subset": "default",
|
| 65 |
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|
| 66 |
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"nep-Deva"
|
| 67 |
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]
|
| 68 |
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}
|
| 69 |
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]
|
| 70 |
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},
|
| 71 |
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"evaluation_time": 110.68125009536743,
|
| 72 |
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|
| 73 |
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}
|
results/Sailesh97__Hinvec/d4fc678720cc1b8c5d18599ce2d9a4d6090c8b6b/PunjabiNewsClassification.json
ADDED
|
@@ -0,0 +1,95 @@
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|
| 1 |
+
{
|
| 2 |
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results/Sailesh97__Hinvec/d4fc678720cc1b8c5d18599ce2d9a4d6090c8b6b/SIB200ClusteringS2S.json
ADDED
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@@ -0,0 +1,494 @@
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| 1 |
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{
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| 2 |
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| 3 |
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| 4 |
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| 29 |
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|
results/Sailesh97__Hinvec/d4fc678720cc1b8c5d18599ce2d9a4d6090c8b6b/SanskritShlokasClassification.json
ADDED
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@@ -0,0 +1,137 @@
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|
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|
| 1 |
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{
|
| 2 |
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|
| 3 |
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|
| 4 |
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| 5 |
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| 6 |
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| 7 |
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| 12 |
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| 15 |
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| 16 |
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| 26 |
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| 27 |
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| 28 |
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| 29 |
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| 30 |
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| 31 |
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| 32 |
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| 33 |
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| 34 |
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| 36 |
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| 37 |
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| 38 |
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| 40 |
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| 41 |
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| 42 |
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| 52 |
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| 62 |
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| 64 |
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|
| 65 |
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| 66 |
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|
| 67 |
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|
| 68 |
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|
| 69 |
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|
| 70 |
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|
| 71 |
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| 72 |
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| 80 |
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| 81 |
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| 82 |
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| 86 |
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| 87 |
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| 88 |
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|
| 89 |
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|
| 90 |
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|
| 91 |
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| 92 |
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|
| 93 |
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|
| 94 |
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| 95 |
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|
| 96 |
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|
| 97 |
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|
| 98 |
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|
| 99 |
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|
| 100 |
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|
| 101 |
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| 102 |
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|
| 103 |
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|
| 104 |
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|
| 105 |
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|
| 106 |
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|
| 107 |
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|
| 108 |
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|
| 109 |
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|
| 110 |
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|
| 111 |
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|
| 112 |
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|
| 113 |
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|
| 114 |
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|
| 115 |
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|
| 116 |
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|
| 117 |
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|
| 118 |
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|
| 119 |
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|
| 120 |
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|
| 121 |
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|
| 122 |
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|
| 123 |
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|
| 124 |
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|
| 125 |
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|
| 126 |
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|
| 127 |
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|
| 128 |
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|
| 129 |
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|
| 130 |
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|
| 131 |
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|
| 132 |
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|
| 133 |
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|
| 134 |
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|
| 135 |
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|
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|
results/Sailesh97__Hinvec/d4fc678720cc1b8c5d18599ce2d9a4d6090c8b6b/SentimentAnalysisHindi.json
ADDED
|
@@ -0,0 +1,73 @@
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|
|
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|
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|
|
|
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|
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|
|
|
|
|
| 1 |
+
{
|
| 2 |
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"dataset_revision": "1beac1b941da76a9c51e3e5b39d230fde9a80983",
|
| 3 |
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"task_name": "SentimentAnalysisHindi",
|
| 4 |
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"mteb_version": "1.38.30",
|
| 5 |
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|
| 6 |
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|
| 7 |
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|
| 8 |
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|
| 9 |
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|
| 10 |
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|
| 11 |
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|
| 12 |
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|
| 13 |
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|
| 14 |
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|
| 15 |
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|
| 16 |
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|
| 17 |
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| 18 |
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|
| 19 |
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|
| 20 |
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| 21 |
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|
| 22 |
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|
| 23 |
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|
| 24 |
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|
| 25 |
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|
| 26 |
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|
| 27 |
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|
| 28 |
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|
| 29 |
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|
| 30 |
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|
| 31 |
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},
|
| 32 |
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{
|
| 33 |
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|
| 34 |
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|
| 35 |
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|
| 36 |
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|
| 37 |
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{
|
| 38 |
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"accuracy": 0.55127,
|
| 39 |
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|
| 40 |
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|
| 41 |
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|
| 42 |
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|
| 43 |
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|
| 44 |
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|
| 45 |
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|
| 46 |
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|
| 47 |
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|
| 48 |
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|
| 49 |
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|
| 50 |
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|
| 51 |
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|
| 52 |
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{
|
| 53 |
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"accuracy": 0.580078,
|
| 54 |
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|
| 55 |
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|
| 56 |
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|
| 57 |
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|
| 58 |
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|
| 59 |
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|
| 60 |
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|
| 61 |
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|
| 62 |
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|
| 63 |
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"main_score": 0.605507,
|
| 64 |
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|
| 65 |
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|
| 66 |
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|
| 67 |
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]
|
| 68 |
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}
|
| 69 |
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]
|
| 70 |
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|
| 71 |
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"evaluation_time": 38.996551513671875,
|
| 72 |
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|
| 73 |
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|
results/Sailesh97__Hinvec/d4fc678720cc1b8c5d18599ce2d9a4d6090c8b6b/TweetSentimentClassification.json
ADDED
|
@@ -0,0 +1,73 @@
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
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|
|
|
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|
|
|
|
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|
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|
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|
|
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|
|
|
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|
|
|
|
|
|
|
|
|
|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
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|
|
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|
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|
|
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|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"dataset_revision": "d522bb117c32f5e0207344f69f7075fc9941168b",
|
| 3 |
+
"task_name": "TweetSentimentClassification",
|
| 4 |
+
"mteb_version": "1.38.30",
|
| 5 |
+
"scores": {
|
| 6 |
+
"test": [
|
| 7 |
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{
|
| 8 |
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|
| 9 |
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"f1": 0.363107,
|
| 10 |
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"f1_weighted": 0.363236,
|
| 11 |
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"scores_per_experiment": [
|
| 12 |
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{
|
| 13 |
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"accuracy": 0.304688,
|
| 14 |
+
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|
| 15 |
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"f1_weighted": 0.304564
|
| 16 |
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|
| 17 |
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{
|
| 18 |
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|
| 19 |
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|
| 20 |
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|
| 21 |
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|
| 22 |
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|
| 23 |
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|
| 24 |
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|
| 25 |
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|
| 26 |
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},
|
| 27 |
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{
|
| 28 |
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|
| 29 |
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|
| 30 |
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|
| 31 |
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},
|
| 32 |
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{
|
| 33 |
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"accuracy": 0.394531,
|
| 34 |
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"f1": 0.376671,
|
| 35 |
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"f1_weighted": 0.377005
|
| 36 |
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|
| 37 |
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{
|
| 38 |
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"accuracy": 0.3125,
|
| 39 |
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|
| 40 |
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|
| 41 |
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|
| 42 |
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{
|
| 43 |
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|
| 44 |
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|
| 45 |
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|
| 46 |
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|
| 47 |
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{
|
| 48 |
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|
| 49 |
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|
| 50 |
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|
| 51 |
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|
| 52 |
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{
|
| 53 |
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"accuracy": 0.417969,
|
| 54 |
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|
| 55 |
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|
| 56 |
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|
| 57 |
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|
| 58 |
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|
| 59 |
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|
| 60 |
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|
| 61 |
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|
| 62 |
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],
|
| 63 |
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|
| 64 |
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"hf_subset": "hindi",
|
| 65 |
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|
| 66 |
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"hin-Deva"
|
| 67 |
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|
| 68 |
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}
|
| 69 |
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|
| 70 |
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|
| 71 |
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|
| 72 |
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|
| 73 |
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}
|
results/Sailesh97__Hinvec/d4fc678720cc1b8c5d18599ce2d9a4d6090c8b6b/UrduRomanSentimentClassification.json
ADDED
|
@@ -0,0 +1,73 @@
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|
| 1 |
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|
| 2 |
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| 3 |
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|
| 4 |
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| 5 |
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| 6 |
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| 7 |
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| 8 |
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| 9 |
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| 10 |
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| 11 |
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| 12 |
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| 13 |
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| 14 |
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| 15 |
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| 16 |
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| 17 |
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| 18 |
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| 19 |
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| 20 |
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| 21 |
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| 22 |
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| 23 |
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| 24 |
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| 25 |
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| 26 |
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| 27 |
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| 28 |
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| 29 |
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|
| 30 |
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| 31 |
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|
| 32 |
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|
| 33 |
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|
| 34 |
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| 35 |
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| 36 |
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| 37 |
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| 38 |
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|
| 39 |
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|
| 40 |
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|
| 41 |
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|
| 42 |
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|
| 43 |
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|
| 44 |
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"f1": 0.388619,
|
| 45 |
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| 46 |
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|
| 47 |
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|
| 48 |
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|
| 49 |
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|
| 50 |
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| 51 |
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|
| 52 |
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|
| 53 |
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|
| 54 |
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|
| 55 |
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|
| 56 |
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|
| 57 |
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|
| 58 |
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|
| 59 |
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|
| 60 |
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|
| 61 |
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|
| 62 |
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|
| 63 |
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|
| 64 |
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|
| 65 |
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|
| 66 |
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|
| 67 |
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|
| 68 |
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|
| 69 |
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|
| 70 |
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|
| 71 |
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| 72 |
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| 73 |
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|
results/Sailesh97__Hinvec/d4fc678720cc1b8c5d18599ce2d9a4d6090c8b6b/WikipediaRerankingMultilingual.json
ADDED
|
@@ -0,0 +1,41 @@
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|
|
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|
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|
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|
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|
|
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|
|
|
|
| 1 |
+
{
|
| 2 |
+
"dataset_revision": "6268b37d6f975f2a134791ba2f250a91d0bdfb4f",
|
| 3 |
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"task_name": "WikipediaRerankingMultilingual",
|
| 4 |
+
"mteb_version": "1.38.30",
|
| 5 |
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"scores": {
|
| 6 |
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|
| 7 |
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|
| 8 |
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|
| 9 |
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|
| 10 |
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|
| 11 |
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|
| 12 |
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|
| 13 |
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|
| 14 |
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|
| 15 |
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|
| 16 |
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|
| 17 |
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|
| 18 |
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|
| 19 |
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"hin-Deva"
|
| 20 |
+
]
|
| 21 |
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|
| 22 |
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{
|
| 23 |
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"map": 0.346355,
|
| 24 |
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|
| 25 |
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|
| 26 |
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|
| 27 |
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|
| 28 |
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|
| 29 |
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|
| 30 |
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|
| 31 |
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|
| 32 |
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|
| 33 |
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"languages": [
|
| 34 |
+
"ben-Beng"
|
| 35 |
+
]
|
| 36 |
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}
|
| 37 |
+
]
|
| 38 |
+
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|
| 39 |
+
"evaluation_time": 3309.075793027878,
|
| 40 |
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|
| 41 |
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|
results/Sailesh97__Hinvec/d4fc678720cc1b8c5d18599ce2d9a4d6090c8b6b/XNLI.json
ADDED
|
@@ -0,0 +1,107 @@
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|
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|
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|
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|
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|
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|
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|
|
|
|
|
|
| 1 |
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{
|
| 2 |
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|
| 3 |
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|
| 4 |
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|
| 5 |
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|
| 6 |
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| 7 |
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| 8 |
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|
| 9 |
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| 10 |
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|
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| 16 |
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| 17 |
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|
| 18 |
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|
| 19 |
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|
| 20 |
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|
| 21 |
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| 23 |
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| 28 |
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| 29 |
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| 30 |
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|
| 31 |
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| 52 |
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| 53 |
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| 54 |
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| 55 |
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| 56 |
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|
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| 100 |
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|
| 101 |
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|
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|
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|
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|
results/Sailesh97__Hinvec/d4fc678720cc1b8c5d18599ce2d9a4d6090c8b6b/XQuADRetrieval.json
ADDED
|
@@ -0,0 +1,158 @@
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|
| 1 |
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{
|
| 2 |
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|
| 3 |
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|
| 4 |
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|
| 5 |
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|
| 6 |
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|
| 7 |
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|
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|
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|
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|
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|
| 139 |
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| 140 |
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|
| 141 |
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|
| 142 |
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|
| 143 |
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|
| 144 |
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|
| 145 |
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|
| 147 |
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|
| 148 |
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|
| 149 |
+
"hf_subset": "hi",
|
| 150 |
+
"languages": [
|
| 151 |
+
"hin-Deva"
|
| 152 |
+
]
|
| 153 |
+
}
|
| 154 |
+
]
|
| 155 |
+
},
|
| 156 |
+
"evaluation_time": 43.8482825756073,
|
| 157 |
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"kg_co2_emissions": null
|
| 158 |
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}
|
results/Sailesh97__Hinvec/d4fc678720cc1b8c5d18599ce2d9a4d6090c8b6b/model_meta.json
ADDED
|
@@ -0,0 +1 @@
|
|
|
|
|
|
|
| 1 |
+
{"name": "Sailesh97/Hinvec", "revision": "d4fc678720cc1b8c5d18599ce2d9a4d6090c8b6b", "release_date": null, "languages": null, "n_parameters": null, "memory_usage_mb": null, "max_tokens": null, "embed_dim": null, "license": "apache-2.0", "open_weights": true, "public_training_code": null, "public_training_data": null, "framework": ["PyTorch"], "reference": null, "similarity_fn_name": null, "use_instructions": null, "training_datasets": null, "adapted_from": null, "superseded_by": null, "is_cross_encoder": null, "modalities": ["text"], "loader": null}
|