Model: romain125/outputs
Author: romain125
Pipeline: sentence-similarity
Library: sentence-transformers
Tags: sentence-transformers, tensorboard, safetensors, bert, sentence-similarity, feature-extraction, generated_from_trainer, dataset_size:2467, loss:MultipleNegativesRankingLoss, arxiv:1908.10084, arxiv:1705.00652, base_model:intfloat/multilingual-e5-small, base_model:finetune:intfloat/multilingual-e5-small, model-index, text-embeddings-inference, endpoints_compatible, region:us
Base models (finetune): id: intfloat/multilingual-e5-small
Card metadata: tags: sentence-transformers, sentence-similarity, feature-extraction, generated_from_trainer, dataset_size:2467, loss:MultipleNegativesRankingLoss
base_model: intfloat/multilingual-e5-small
pipeline_tag: sentence-similarity
library_name: sentence-transformers
metrics: cosine_accuracy, cosine_accuracy_threshold, cosine_f1, cosine_f1_threshold, cosine_precision, cosine_recall, cosine_ap, cosine_mcc
model-index: name: SentenceTransformer based on intfloat/multilingual-e5-small
results: task: type: binary-classification
name: Binary Classification
dataset: name: BinaryClassifEval
type: BinaryClassifEval
metrics: type: cosine_accuracy
value: 0.8
name: Cosine Accuracy
verified: no, type: cosine_accuracy_threshold
value: 0.8466682434082031
name: Cosine Accuracy Threshold
verified: no, type: cosine_f1
value: 0.888888888888889
name: Cosine F1
verified: no, type: cosine_f1_threshold
value: 0.8466682434082031
name: Cosine F1 Threshold
verified: no, type: cosine_precision
value: 1
name: Cosine Precision
verified: no, type: cosine_recall
value: 0.8
name: Cosine Recall
verified: no, type: cosine_ap
value: 1
name: Cosine Ap
verified: no, type: cosine_mcc
value: 0
name: Cosine Mcc
verified: no
Likes: 0 | All-time downloads: 9
Created: 2025-03-04 16:13:56