Model: IconicAI/all-mpnet-base-v2-anteater
Author: IconicAI
Pipeline: sentence-similarity
Library: sentence-transformers
Tags: sentence-transformers, safetensors, mpnet, sentence-similarity, feature-extraction, generated_from_trainer, dataset_size:645861, loss:ContrastiveLoss, 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: 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:645861, loss:ContrastiveLoss
widget: source_sentence: There was an Eye OS alert.
sentences: i see lots of tubes, On the door is lima mike zero twenty three north exit, EyeOS, that’s some kind of tech, right, source_sentence: how to use
sentences: how do i use it, This fallen panel might lead to the control room., The rings appear to be completely unmoving now., source_sentence: I'm unsure about this room's name how do I find out?
sentences: How do I identify the room I'm in without any obvious signs?, The door shows l m zero twenty three north exit, it reads Cryochamber Medical Support Systems, source_sentence: i see Cryochamber Atmospheric Sealing
sentences: Can you guide me on how to identify this room?, it's Laboratory Chemical Storage, it reads Cryochamber Atmospheric Sealing, source_sentence: floating up
sentences: All indicators are blue., i can see an interface, Found a narrow corridor leading somewhere.
model-index: name: SentenceTransformer based on sentence-transformers/all-mpnet-base-v2
results: task: type: binary-classification
name: Binary Classification
dataset: name: sts dev
type: sts-dev
metrics: type: cosine_accuracy
value: 0.9002097965885251
name: Cosine Accuracy
verified: no, type: cosine_accuracy_threshold
value: 0.4494956135749817
name: Cosine Accuracy Threshold
verified: no, type: cosine_f1
value: 0.8908462575859745
name: Cosine F1
verified: no, type: cosine_f1_threshold
value: 0.41577932238578796
name: Cosine F1 Threshold
verified: no, type: cosine_precision
value: 0.8739044154126013
name: Cosine Precision
verified: no, type: cosine_recall
value: 0.908457968024755
name: Cosine Recall
verified: no, type: cosine_ap
value: 0.9618224590785398
name: Cosine Ap
verified: no, type: dot_accuracy
value: 0.9002097965885251
name: Dot Accuracy
verified: no, type: dot_accuracy_threshold
value: 0.4494956135749817
name: Dot Accuracy Threshold
verified: no, type: dot_f1
value: 0.8908462575859745
name: Dot F1
verified: no, type: dot_f1_threshold
value: 0.4157792925834656
name: Dot F1 Threshold
verified: no, type: dot_precision
value: 0.8739044154126013
name: Dot Precision
verified: no, type: dot_recall
value: 0.908457968024755
name: Dot Recall
verified: no, type: dot_ap
value: 0.961822458350164
name: Dot Ap
verified: no, type: manhattan_accuracy
value: 0.8989979280958028
name: Manhattan Accuracy
verified: no, type: manhattan_accuracy_threshold
value: 22.644113540649414
name: Manhattan Accuracy Threshold
verified: no, type: manhattan_f1
value: 0.8901100449479366
name: Manhattan F1
verified: no, type: manhattan_f1_threshold
value: 23.330610275268555
name: Manhattan F1 Threshold
verified: no, type: manhattan_precision
value: 0.8757104438714686
name: Manhattan Precision
verified: no, type: manhattan_recall
value: 0.9049911179875079
name: Manhattan Recall
verified: no, type: manhattan_ap
value: 0.9615309074220045
name: Manhattan Ap
verified: no, type: euclidean_accuracy
value: 0.9002097965885251
name: Euclidean Accuracy
verified: no, type: euclidean_accuracy_threshold
value: 1.0492897033691406
name: Euclidean Accuracy Threshold
verified: no, type: euclidean_f1
value: 0.8908462575859745
name: Euclidean F1
verified: no, type: euclidean_f1_threshold
value: 1.080944538116455
name: Euclidean F1 Threshold
verified: no, type: euclidean_precision
value: 0.8739044154126013
name: Euclidean Precision
verified: no, type: euclidean_recall
value: 0.908457968024755
name: Euclidean Recall
verified: no, type: euclidean_ap
value: 0.9618224553002042
name: Euclidean Ap
verified: no, type: max_accuracy
value: 0.9002097965885251
name: Max Accuracy
verified: no, type: max_accuracy_threshold
value: 22.644113540649414
name: Max Accuracy Threshold
verified: no, type: max_f1
value: 0.8908462575859745
name: Max F1
verified: no, type: max_f1_threshold
value: 23.330610275268555
name: Max F1 Threshold
verified: no, type: max_precision
value: 0.8757104438714686
name: Max Precision
verified: no, type: max_recall
value: 0.908457968024755
name: Max Recall
verified: no, type: max_ap
value: 0.9618224590785398
name: Max Ap
verified: no
Likes: 0 | All-time downloads: 141
Created: 2024-09-11 10:36:03