Model: mspy/twitter-paraphrase-embeddings
Author: mspy
Pipeline: sentence-similarity
Library: sentence-transformers
Tags: sentence-transformers, safetensors, mpnet, sentence-similarity, feature-extraction, generated_from_trainer, dataset_size:13063, loss:CosineSimilarityLoss, arxiv:1908.10084, base_model:sentence-transformers/all-mpnet-base-v2, base_model:finetune:sentence-transformers/all-mpnet-base-v2, model-index, endpoints_compatible, region:us
Base models (finetune): id: sentence-transformers/all-mpnet-base-v2
Card metadata: base_model: sentence-transformers/all-mpnet-base-v2
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
pipeline_tag: sentence-similarity
tags: sentence-transformers, sentence-similarity, feature-extraction, generated_from_trainer, dataset_size:13063, loss:CosineSimilarityLoss
widget: source_sentence: I cant wait to leave Chicago
sentences: This is the shit Chicago needs to be recognized for not Keef, is candice singing again tonight, half time Chelsea were losing 10, source_sentence: Andre miller best lobbing pg in the game
sentences: Am I the only one who dont get Amber alert, Backstrom hurt in warmup Harding could start, Andre miller is even slower in person, source_sentence: Bayless couldve dunked that from the free throw
sentences: but what great finger roll by Bayless, Wow Bayless has to make EspnSCTop with that end of 3rd, i mean calum u didnt follow, source_sentence: Backstrom Hurt in warmups Harding gets the start
sentences: Should I go to Nashville or Chicago for my 17th birthday, I hate Chelsea possibly more than most, Of course Backstrom would get injured during warmups, source_sentence: Calum I love you plz follow me
sentences: CALUM PLEASE BE MY FIRST CELEBRITY TO FOLLOW ME, Walking around downtown Chicago in a dress and listening to the new Iggy Pop, I think Candice has what it takes to win American Idol AND Angie too
model-index: name: SentenceTransformer based on sentence-transformers/all-mpnet-base-v2
results: task: type: semantic-similarity
name: Semantic Similarity
dataset: name: Unknown
type: unknown
metrics: type: pearson_cosine
value: 0.6949485250178733
name: Pearson Cosine
verified: no, type: spearman_cosine
value: 0.6626359968437283
name: Spearman Cosine
verified: no, type: pearson_manhattan
value: 0.688092975176289
name: Pearson Manhattan
verified: no, type: spearman_manhattan
value: 0.6630998028133662
name: Spearman Manhattan
verified: no, type: pearson_euclidean
value: 0.6880277270034267
name: Pearson Euclidean
verified: no, type: spearman_euclidean
value: 0.6626358741747785
name: Spearman Euclidean
verified: no, type: pearson_dot
value: 0.694948520847878
name: Pearson Dot
verified: no, type: spearman_dot
value: 0.6626359082695851
name: Spearman Dot
verified: no, type: pearson_max
value: 0.6949485250178733
name: Pearson Max
verified: no, type: spearman_max
value: 0.6630998028133662
name: Spearman Max
verified: no
Likes: 0 | All-time downloads: 199
Created: 2024-07-28 12:26:58