Model: Jechto/e5-dansk-test-0.1
Author: Jechto
Pipeline: sentence-similarity
Library: sentence-transformers
Tags: sentence-transformers, safetensors, xlm-roberta, sentence-similarity, mteb, dataset:ms_marco, model-index, text-embeddings-inference, endpoints_compatible, region:us
Card metadata: library_name: sentence-transformers
pipeline_tag: sentence-similarity
tags: sentence-transformers, sentence-similarity, mteb
datasets: ms_marco
model-index: name: E:\HuggingFaceDataDownloader\results\finetuned_models\2000\2000_finetune
results: task: type: Classification
dataset: type: DDSC/angry-tweets
name: MTEB AngryTweetsClassification
config: default
split: test
revision: 20b0e6081892e78179356fada741b7afa381443d
metrics: type: accuracy
value: 56.084049665711554
verified: no, type: f1
value: 55.198013156852625
verified: no, task: type: BitextMining
dataset: type: strombergnlp/bornholmsk_parallel
name: MTEB BornholmBitextMining
config: default
split: test
revision: 3bc5cfb4ec514264fe2db5615fac9016f7251552
metrics: type: accuracy
value: 47
verified: no, type: f1
value: 37.97365079365079
verified: no, type: precision
value: 34.48333333333334
verified: no, type: recall
value: 47
verified: no, task: type: Classification
dataset: type: danish_political_comments
name: MTEB DanishPoliticalCommentsClassification
config: default
split: train
revision: edbb03726c04a0efab14fc8c3b8b79e4d420e5a1
metrics: type: accuracy
value: 40.88398556758257
verified: no, type: f1
value: 37.604524785367076
verified: no, task: type: Classification
dataset: type: DDSC/lcc
name: MTEB LccSentimentClassification
config: default
split: test
revision: de7ba3406ee55ea2cc52a0a41408fa6aede6d3c6
metrics: type: accuracy
value: 59.599999999999994
verified: no, type: f1
value: 59.0619246469949
verified: no, task: type: Classification
dataset: type: strombergnlp/nordic_langid
name: MTEB NordicLangClassification
config: default
split: test
revision: e254179d18ab0165fdb6dbef91178266222bee2a
metrics: type: accuracy
value: 61.00333333333333
verified: no, type: f1
value: 60.45633325804296
verified: no, task: type: Classification
dataset: type: ScandEval/scala-da
name: MTEB ScalaDaClassification
config: default
split: test
revision: 1de08520a7b361e92ffa2a2201ebd41942c54675
metrics: type: accuracy
value: 50.43457031250001
verified: no, type: ap
value: 50.22017546538257
verified: no, type: f1
value: 50.03426509926491
verified: no
Likes: 0 | All-time downloads: 53
Created: 2024-02-06 20:48:18