Model: waris-gill/ModernBert-Medical-v1
Author: waris-gill
Pipeline: sentence-similarity
Library: sentence-transformers
Tags: sentence-transformers, safetensors, modernbert, sentence-similarity, feature-extraction, generated_from_trainer, dataset_size:2438, loss:MatryoshkaLoss, loss:OnlineContrastiveLoss, arxiv:1908.10084, base_model:Alibaba-NLP/gte-modernbert-base, base_model:finetune:Alibaba-NLP/gte-modernbert-base, model-index, text-embeddings-inference, endpoints_compatible, region:us
Base models (finetune): id: Alibaba-NLP/gte-modernbert-base
Card metadata: tags: sentence-transformers, sentence-similarity, feature-extraction, generated_from_trainer, dataset_size:2438, loss:MatryoshkaLoss, loss:OnlineContrastiveLoss
base_model: Alibaba-NLP/gte-modernbert-base
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 Alibaba-NLP/gte-modernbert-base
results: task: type: my-binary-classification
name: My Binary Classification
dataset: name: Unknown
type: unknown
metrics: type: cosine_accuracy
value: 0.9159836065573771
name: Cosine Accuracy
verified: no, type: cosine_accuracy_threshold
value: 0.8090976476669312
name: Cosine Accuracy Threshold
verified: no, type: cosine_f1
value: 0.9216061185468452
name: Cosine F1
verified: no, type: cosine_f1_threshold
value: 0.8090976476669312
name: Cosine F1 Threshold
verified: no, type: cosine_precision
value: 0.9305019305019305
name: Cosine Precision
verified: no, type: cosine_recall
value: 0.9128787878787878
name: Cosine Recall
verified: no, type: cosine_ap
value: 0.974188222191262
name: Cosine Ap
verified: no, type: cosine_mcc
value: 0.8312925398469787
name: Cosine Mcc
verified: no
Likes: 1 | All-time downloads: 1
Created: 2025-03-10 21:21:59