Model: LeoChiuu/all-MiniLM-L6-v2
Author: LeoChiuu
Pipeline: sentence-similarity
Library: sentence-transformers
Tags: sentence-transformers, safetensors, bert, sentence-similarity, feature-extraction, generated_from_trainer, dataset_size:560, loss:CoSENTLoss, arxiv:1908.10084, base_model:sentence-transformers/all-MiniLM-L6-v2, base_model:finetune:sentence-transformers/all-MiniLM-L6-v2, model-index, text-embeddings-inference, endpoints_compatible, region:us
Base models (finetune): id: sentence-transformers/all-MiniLM-L6-v2
Card metadata: base_model: sentence-transformers/all-MiniLM-L6-v2
library_name: sentence-transformers
metrics: 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:560, loss:CoSENTLoss
widget: source_sentence: Let's search inside
sentences: Stuffed animal, Let's look inside, What is worse?, source_sentence: I want a torch
sentences: What do you think of Spike, Actually I want a torch, Why candle?, source_sentence: Magic trace
sentences: A sword.,  Why is he so tiny?, The flower is changed into flower. , source_sentence: Did you use illusion?
sentences: Do you use illusion?, You are a cat?, It's Toby, source_sentence: Do you see your scarf in the watering can?
sentences: What is the Weeping Tree?, Are these your footprints?, Magic user
model-index: name: SentenceTransformer based on sentence-transformers/all-MiniLM-L6-v2
results: task: type: binary-classification
name: Binary Classification
dataset: name: custom arc semantics data
type: custom-arc-semantics-data
metrics: type: cosine_accuracy
value: 0.9285714285714286
name: Cosine Accuracy
verified: no, type: cosine_accuracy_threshold
value: 0.42927420139312744
name: Cosine Accuracy Threshold
verified: no, type: cosine_f1
value: 0.9425287356321839
name: Cosine F1
verified: no, type: cosine_f1_threshold
value: 0.2269928753376007
name: Cosine F1 Threshold
verified: no, type: cosine_precision
value: 0.9111111111111111
name: Cosine Precision
verified: no, type: cosine_recall
value: 0.9761904761904762
name: Cosine Recall
verified: no, type: cosine_ap
value: 0.9720863676601571
name: Cosine Ap
verified: no, type: dot_accuracy
value: 0.9285714285714286
name: Dot Accuracy
verified: no, type: dot_accuracy_threshold
value: 0.42927438020706177
name: Dot Accuracy Threshold
verified: no, type: dot_f1
value: 0.9425287356321839
name: Dot F1
verified: no, type: dot_f1_threshold
value: 0.22699296474456787
name: Dot F1 Threshold
verified: no, type: dot_precision
value: 0.9111111111111111
name: Dot Precision
verified: no, type: dot_recall
value: 0.9761904761904762
name: Dot Recall
verified: no, type: dot_ap
value: 0.9720863676601571
name: Dot Ap
verified: no, type: manhattan_accuracy
value: 0.9285714285714286
name: Manhattan Accuracy
verified: no, type: manhattan_accuracy_threshold
value: 16.630834579467773
name: Manhattan Accuracy Threshold
verified: no, type: manhattan_f1
value: 0.9431818181818182
name: Manhattan F1
verified: no, type: manhattan_f1_threshold
value: 19.740108489990234
name: Manhattan F1 Threshold
verified: no, type: manhattan_precision
value: 0.9021739130434783
name: Manhattan Precision
verified: no, type: manhattan_recall
value: 0.9880952380952381
name: Manhattan Recall
verified: no, type: manhattan_ap
value: 0.9728353486982702
name: Manhattan Ap
verified: no, type: euclidean_accuracy
value: 0.9285714285714286
name: Euclidean Accuracy
verified: no, type: euclidean_accuracy_threshold
value: 1.068155288696289
name: Euclidean Accuracy Threshold
verified: no, type: euclidean_f1
value: 0.9425287356321839
name: Euclidean F1
verified: no, type: euclidean_f1_threshold
value: 1.2433418035507202
name: Euclidean F1 Threshold
verified: no, type: euclidean_precision
value: 0.9111111111111111
name: Euclidean Precision
verified: no, type: euclidean_recall
value: 0.9761904761904762
name: Euclidean Recall
verified: no, type: euclidean_ap
value: 0.9720863676601571
name: Euclidean Ap
verified: no, type: max_accuracy
value: 0.9285714285714286
name: Max Accuracy
verified: no, type: max_accuracy_threshold
value: 16.630834579467773
name: Max Accuracy Threshold
verified: no, type: max_f1
value: 0.9431818181818182
name: Max F1
verified: no, type: max_f1_threshold
value: 19.740108489990234
name: Max F1 Threshold
verified: no, type: max_precision
value: 0.9111111111111111
name: Max Precision
verified: no, type: max_recall
value: 0.9880952380952381
name: Max Recall
verified: no, type: max_ap
value: 0.9728353486982702
name: Max Ap
verified: no
Likes: 0 | All-time downloads: 203
Created: 2024-09-03 20:04:26