Model: bobox/DeBERTa2-0.9B-ST-stsb
Author: bobox
Pipeline: sentence-similarity
Library: sentence-transformers
Tags: sentence-transformers, pytorch, deberta-v2, sentence-similarity, feature-extraction, generated_from_trainer, dataset_size:5749, loss:AnglELoss, en, dataset:sentence-transformers/stsb, arxiv:1908.10084, arxiv:2309.12871, base_model:BXresearch/DeBERTa2-0.9B-SentenceTransformer-v2, base_model:finetune:BXresearch/DeBERTa2-0.9B-SentenceTransformer-v2, model-index, endpoints_compatible, region:us
Base models (finetune): id: BXresearch/DeBERTa2-0.9B-SentenceTransformer-v2
Card metadata: base_model: BXresearch/DeBERTa2-0.9B-ST-v2
datasets: sentence-transformers/stsb
language: en
library_name: sentence-transformers
metrics: pearson_cosine, spearman_cosine, pearson_manhattan, spearman_manhattan, pearson_euclidean, spearman_euclidean, pearson_dot, spearman_dot, pearson_max, spearman_max, cosine_accuracy, cosine_accuracy_threshold, cosine_f1, cosine_f1_threshold, cosine_precision, cosine_recall, cosine_ap, dot_accuracy, dot_accuracy_threshold, dot_f1, dot_f1_threshold, dot_precision, dot_recall, dot_ap, manhattan_accuracy, manhattan_accuracy_threshold, manhattan_f1, manhattan_f1_threshold, manhattan_precision, manhattan_recall, manhattan_ap, euclidean_accuracy, euclidean_accuracy_threshold, euclidean_f1, euclidean_f1_threshold, euclidean_precision, euclidean_recall, euclidean_ap, max_accuracy, max_accuracy_threshold, max_f1, max_f1_threshold, max_precision, max_recall, max_ap
pipeline_tag: sentence-similarity
tags: sentence-transformers, sentence-similarity, feature-extraction, generated_from_trainer, dataset_size:5749, loss:AnglELoss
widget: source_sentence: Left side of a silver train engine.
sentences: A close-up of a black train engine., Two boys are in midair jumping into an inground pool., An older Asian couple poses with a newborn baby at the dinner table., source_sentence: Four girls in swimsuits are playing volleyball at the beach.
sentences: A little girl is walking down a hallway., The man is erasing the chalk board., Four women in bikinis are playing volleyball on the beach., source_sentence: A woman is cooking meat.
sentences: The dogs are alone in the forest., A man is speaking., A dog jumps through a hoop., source_sentence: A person is folding a square paper piece.
sentences: A woman is carrying her baby., A person folds a piece of paper., A dog is trying to get through his dog door., source_sentence: The boy is playing the piano.
sentences: The woman is pouring oil into the pan., A small black and white dog is swimming in water., Two brown dogs are playing with each other in the snow.
model-index: name: SentenceTransformer based on BXresearch/DeBERTa2-0.9B-ST-v2
results: task: type: semantic-similarity
name: Semantic Similarity
dataset: name: sts test
type: sts-test
metrics: type: pearson_cosine
value: 0.9174070307741418
name: Pearson Cosine
verified: no, type: spearman_cosine
value: 0.9292509717696739
name: Spearman Cosine
verified: no, type: pearson_manhattan
value: 0.9282688885676256
name: Pearson Manhattan
verified: no, type: spearman_manhattan
value: 0.9298350652202988
name: Spearman Manhattan
verified: no, type: pearson_euclidean
value: 0.9286763713344532
name: Pearson Euclidean
verified: no, type: spearman_euclidean
value: 0.9301882421673056
name: Spearman Euclidean
verified: no, type: pearson_dot
value: 0.9015673628485675
name: Pearson Dot
verified: no, type: spearman_dot
value: 0.9062672614479156
name: Spearman Dot
verified: no, type: pearson_max
value: 0.9286763713344532
name: Pearson Max
verified: no, type: spearman_max
value: 0.9301882421673056
name: Spearman Max
verified: no, task: type: binary-classification
name: Binary Classification
dataset: name: allNLI dev
type: allNLI-dev
metrics: type: cosine_accuracy
value: 0.75390625
name: Cosine Accuracy
verified: no, type: cosine_accuracy_threshold
value: 0.7934484481811523
name: Cosine Accuracy Threshold
verified: no, type: cosine_f1
value: 0.6263736263736264
name: Cosine F1
verified: no, type: cosine_f1_threshold
value: 0.7287859916687012
name: Cosine F1 Threshold
verified: no, type: cosine_precision
value: 0.5643564356435643
name: Cosine Precision
verified: no, type: cosine_recall
value: 0.7037037037037037
name: Cosine Recall
verified: no, type: cosine_ap
value: 0.5952488621962656
name: Cosine Ap
verified: no, type: dot_accuracy
value: 0.74609375
name: Dot Accuracy
verified: no, type: dot_accuracy_threshold
value: 853.7699584960938
name: Dot Accuracy Threshold
verified: no, type: dot_f1
value: 0.6106194690265486
name: Dot F1
verified: no, type: dot_f1_threshold
value: 685.536865234375
name: Dot F1 Threshold
verified: no, type: dot_precision
value: 0.47586206896551725
name: Dot Precision
verified: no, type: dot_recall
value: 0.8518518518518519
name: Dot Recall
verified: no, type: dot_ap
value: 0.5773093883122924
name: Dot Ap
verified: no, type: manhattan_accuracy
value: 0.75390625
name: Manhattan Accuracy
verified: no, type: manhattan_accuracy_threshold
value: 654.8433227539062
name: Manhattan Accuracy Threshold
verified: no, type: manhattan_f1
value: 0.6244343891402715
name: Manhattan F1
verified: no, type: manhattan_f1_threshold
value: 811.658203125
name: Manhattan F1 Threshold
verified: no, type: manhattan_precision
value: 0.4928571428571429
name: Manhattan Precision
verified: no, type: manhattan_recall
value: 0.8518518518518519
name: Manhattan Recall
verified: no, type: manhattan_ap
value: 0.596555546112473
name: Manhattan Ap
verified: no, type: euclidean_accuracy
value: 0.75390625
name: Euclidean Accuracy
verified: no, type: euclidean_accuracy_threshold
value: 21.04879379272461
name: Euclidean Accuracy Threshold
verified: no, type: euclidean_f1
value: 0.6244343891402715
name: Euclidean F1
verified: no, type: euclidean_f1_threshold
value: 26.11341094970703
name: Euclidean F1 Threshold
verified: no, type: euclidean_precision
value: 0.4928571428571429
name: Euclidean Precision
verified: no, type: euclidean_recall
value: 0.8518518518518519
name: Euclidean Recall
verified: no, type: euclidean_ap
value: 0.595001077180561
name: Euclidean Ap
verified: no, type: max_accuracy
value: 0.75390625
name: Max Accuracy
verified: no, type: max_accuracy_threshold
value: 853.7699584960938
name: Max Accuracy Threshold
verified: no, type: max_f1
value: 0.6263736263736264
name: Max F1
verified: no, type: max_f1_threshold
value: 811.658203125
name: Max F1 Threshold
verified: no, type: max_precision
value: 0.5643564356435643
name: Max Precision
verified: no, type: max_recall
value: 0.8518518518518519
name: Max Recall
verified: no, type: max_ap
value: 0.596555546112473
name: Max Ap
verified: no, task: type: binary-classification
name: Binary Classification
dataset: name: Qnli dev
type: Qnli-dev
metrics: type: cosine_accuracy
value: 0.71484375
name: Cosine Accuracy
verified: no, type: cosine_accuracy_threshold
value: 0.7152643799781799
name: Cosine Accuracy Threshold
verified: no, type: cosine_f1
value: 0.7224334600760456
name: Cosine F1
verified: no, type: cosine_f1_threshold
value: 0.6804982423782349
name: Cosine F1 Threshold
verified: no, type: cosine_precision
value: 0.6785714285714286
name: Cosine Precision
verified: no, type: cosine_recall
value: 0.7723577235772358
name: Cosine Recall
verified: no, type: cosine_ap
value: 0.7550328500735501
name: Cosine Ap
verified: no, type: dot_accuracy
value: 0.69140625
name: Dot Accuracy
verified: no, type: dot_accuracy_threshold
value: 720.3964233398438
name: Dot Accuracy Threshold
verified: no, type: dot_f1
value: 0.7058823529411764
name: Dot F1
verified: no, type: dot_f1_threshold
value: 706.561279296875
name: Dot F1 Threshold
verified: no, type: dot_precision
value: 0.6442953020134228
name: Dot Precision
verified: no, type: dot_recall
value: 0.7804878048780488
name: Dot Recall
verified: no, type: dot_ap
value: 0.7012253433472802
name: Dot Ap
verified: no, type: manhattan_accuracy
value: 0.72265625
name: Manhattan Accuracy
verified: no, type: manhattan_accuracy_threshold
value: 760.7179565429688
name: Manhattan Accuracy Threshold
verified: no, type: manhattan_f1
value: 0.7279693486590038
name: Manhattan F1
verified: no, type: manhattan_f1_threshold
value: 807.8878173828125
name: Manhattan F1 Threshold
verified: no, type: manhattan_precision
value: 0.6884057971014492
name: Manhattan Precision
verified: no, type: manhattan_recall
value: 0.7723577235772358
name: Manhattan Recall
verified: no, type: manhattan_ap
value: 0.7705323139232185
name: Manhattan Ap
verified: no, type: euclidean_accuracy
value: 0.7265625
name: Euclidean Accuracy
verified: no, type: euclidean_accuracy_threshold
value: 25.634429931640625
name: Euclidean Accuracy Threshold
verified: no, type: euclidean_f1
value: 0.7244094488188976
name: Euclidean F1
verified: no, type: euclidean_f1_threshold
value: 25.634429931640625
name: Euclidean F1 Threshold
verified: no, type: euclidean_precision
value: 0.7022900763358778
name: Euclidean Precision
verified: no, type: euclidean_recall
value: 0.7479674796747967
name: Euclidean Recall
verified: no, type: euclidean_ap
value: 0.7674294690555423
name: Euclidean Ap
verified: no, type: max_accuracy
value: 0.7265625
name: Max Accuracy
verified: no, type: max_accuracy_threshold
value: 760.7179565429688
name: Max Accuracy Threshold
verified: no, type: max_f1
value: 0.7279693486590038
name: Max F1
verified: no, type: max_f1_threshold
value: 807.8878173828125
name: Max F1 Threshold
verified: no, type: max_precision
value: 0.7022900763358778
name: Max Precision
verified: no, type: max_recall
value: 0.7804878048780488
name: Max Recall
verified: no, type: max_ap
value: 0.7705323139232185
name: Max Ap
verified: no
Likes: 0 | All-time downloads: 121
Created: 2024-09-04 16:24:10