Model: srikarvar/fine_tuned_model_7
Author: srikarvar
Pipeline: sentence-similarity
Library: sentence-transformers
Tags: sentence-transformers, safetensors, bert, sentence-similarity, feature-extraction, generated_from_trainer, dataset_size:2871, loss:OnlineContrastiveLoss, arxiv:1908.10084, 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: base_model: intfloat/multilingual-e5-small
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:2871, loss:OnlineContrastiveLoss
widget: source_sentence: Stages of photosynthesis
sentences: The function helps preprocess your entire dataset at once., You can create an index for your dataset by using [Dataset.add_faiss_index()](/docs/datasets/v2.10.0/en/package_reference/main_classes#datasets.Dataset.add_faiss_index) or [Dataset.add_elasticsearch_index()](/docs/datasets/v2.10.0/en/package_reference/main_classes#datasets.Dataset.add_elasticsearch_index) depending on the system you want to use., What is photosynthesis?, source_sentence: Steps to erase internet history
sentences: How do I delete my browsing history?, Yes, there is a reference section available in 🤗 Datasets documentation. It covers main classes, builder classes, loading methods, table classes, logging methods, and task templates., What is the tallest building in New York City?, source_sentence: The `StreamingDownloadManager` class is a download manager that employs the "::" separator to traverse (possibly remote) compressed files.
sentences: What is the role of a business plan in entrepreneurship?, The Hugging Face datasets library's default handler can be disabled to prevent double logging by calling the `datasets.utils.logging.enable_propagation()` function., The `StreamingDownloadManager` class is a download manager that uses the ”::” separator to navigate through (possibly remote) compressed archives., source_sentence: Using torch.utils.data.DataLoader, you can package the dataset and craft a collate function to group the samples into batches.
sentences: Why does understanding death philosophical?, The `_generate_examples` method is used to access and yield TAR files sequentially, and to associate the metadata in `metadata_path` with the audio files in the TAR file., You can wrap the dataset in DataLoader using torch.utils.data.DataLoader and create a collate function to collate the samples into batches., source_sentence: Top literature about World War II
sentences: What is the price of an iPhone 12?, Best books on World War II, When was the Declaration of Independence signed?
model-index: name: SentenceTransformer based on intfloat/multilingual-e5-small
results: task: type: binary-classification
name: Binary Classification
dataset: name: pair class dev
type: pair-class-dev
metrics: type: cosine_accuracy
value: 0.9
name: Cosine Accuracy
verified: no, type: cosine_accuracy_threshold
value: 0.784720778465271
name: Cosine Accuracy Threshold
verified: no, type: cosine_f1
value: 0.926605504587156
name: Cosine F1
verified: no, type: cosine_f1_threshold
value: 0.784720778465271
name: Cosine F1 Threshold
verified: no, type: cosine_precision
value: 0.8938053097345132
name: Cosine Precision
verified: no, type: cosine_recall
value: 0.9619047619047619
name: Cosine Recall
verified: no, type: cosine_ap
value: 0.9548853455786228
name: Cosine Ap
verified: no, type: dot_accuracy
value: 0.9
name: Dot Accuracy
verified: no, type: dot_accuracy_threshold
value: 0.784720778465271
name: Dot Accuracy Threshold
verified: no, type: dot_f1
value: 0.926605504587156
name: Dot F1
verified: no, type: dot_f1_threshold
value: 0.784720778465271
name: Dot F1 Threshold
verified: no, type: dot_precision
value: 0.8938053097345132
name: Dot Precision
verified: no, type: dot_recall
value: 0.9619047619047619
name: Dot Recall
verified: no, type: dot_ap
value: 0.9548853455786228
name: Dot Ap
verified: no, type: manhattan_accuracy
value: 0.896875
name: Manhattan Accuracy
verified: no, type: manhattan_accuracy_threshold
value: 9.908977508544922
name: Manhattan Accuracy Threshold
verified: no, type: manhattan_f1
value: 0.9241379310344828
name: Manhattan F1
verified: no, type: manhattan_f1_threshold
value: 10.13671588897705
name: Manhattan F1 Threshold
verified: no, type: manhattan_precision
value: 0.8933333333333333
name: Manhattan Precision
verified: no, type: manhattan_recall
value: 0.9571428571428572
name: Manhattan Recall
verified: no, type: manhattan_ap
value: 0.9549673053310541
name: Manhattan Ap
verified: no, type: euclidean_accuracy
value: 0.9
name: Euclidean Accuracy
verified: no, type: euclidean_accuracy_threshold
value: 0.6561694145202637
name: Euclidean Accuracy Threshold
verified: no, type: euclidean_f1
value: 0.926605504587156
name: Euclidean F1
verified: no, type: euclidean_f1_threshold
value: 0.6561694145202637
name: Euclidean F1 Threshold
verified: no, type: euclidean_precision
value: 0.8938053097345132
name: Euclidean Precision
verified: no, type: euclidean_recall
value: 0.9619047619047619
name: Euclidean Recall
verified: no, type: euclidean_ap
value: 0.9548853455786228
name: Euclidean Ap
verified: no, type: max_accuracy
value: 0.9
name: Max Accuracy
verified: no, type: max_accuracy_threshold
value: 9.908977508544922
name: Max Accuracy Threshold
verified: no, type: max_f1
value: 0.926605504587156
name: Max F1
verified: no, type: max_f1_threshold
value: 10.13671588897705
name: Max F1 Threshold
verified: no, type: max_precision
value: 0.8938053097345132
name: Max Precision
verified: no, type: max_recall
value: 0.9619047619047619
name: Max Recall
verified: no, type: max_ap
value: 0.9549673053310541
name: Max Ap
verified: no, task: type: binary-classification
name: Binary Classification
dataset: name: pair class test
type: pair-class-test
metrics: type: cosine_accuracy
value: 0.90625
name: Cosine Accuracy
verified: no, type: cosine_accuracy_threshold
value: 0.8142284154891968
name: Cosine Accuracy Threshold
verified: no, type: cosine_f1
value: 0.929245283018868
name: Cosine F1
verified: no, type: cosine_f1_threshold
value: 0.8142284154891968
name: Cosine F1 Threshold
verified: no, type: cosine_precision
value: 0.9205607476635514
name: Cosine Precision
verified: no, type: cosine_recall
value: 0.9380952380952381
name: Cosine Recall
verified: no, type: cosine_ap
value: 0.9556341092519267
name: Cosine Ap
verified: no, type: dot_accuracy
value: 0.90625
name: Dot Accuracy
verified: no, type: dot_accuracy_threshold
value: 0.8142284750938416
name: Dot Accuracy Threshold
verified: no, type: dot_f1
value: 0.929245283018868
name: Dot F1
verified: no, type: dot_f1_threshold
value: 0.8142284750938416
name: Dot F1 Threshold
verified: no, type: dot_precision
value: 0.9205607476635514
name: Dot Precision
verified: no, type: dot_recall
value: 0.9380952380952381
name: Dot Recall
verified: no, type: dot_ap
value: 0.9556341092519267
name: Dot Ap
verified: no, type: manhattan_accuracy
value: 0.903125
name: Manhattan Accuracy
verified: no, type: manhattan_accuracy_threshold
value: 9.576812744140625
name: Manhattan Accuracy Threshold
verified: no, type: manhattan_f1
value: 0.9270588235294117
name: Manhattan F1
verified: no, type: manhattan_f1_threshold
value: 9.576812744140625
name: Manhattan F1 Threshold
verified: no, type: manhattan_precision
value: 0.9162790697674419
name: Manhattan Precision
verified: no, type: manhattan_recall
value: 0.9380952380952381
name: Manhattan Recall
verified: no, type: manhattan_ap
value: 0.9557652464010216
name: Manhattan Ap
verified: no, type: euclidean_accuracy
value: 0.90625
name: Euclidean Accuracy
verified: no, type: euclidean_accuracy_threshold
value: 0.609528124332428
name: Euclidean Accuracy Threshold
verified: no, type: euclidean_f1
value: 0.929245283018868
name: Euclidean F1
verified: no, type: euclidean_f1_threshold
value: 0.609528124332428
name: Euclidean F1 Threshold
verified: no, type: euclidean_precision
value: 0.9205607476635514
name: Euclidean Precision
verified: no, type: euclidean_recall
value: 0.9380952380952381
name: Euclidean Recall
verified: no, type: euclidean_ap
value: 0.9556341092519267
name: Euclidean Ap
verified: no, type: max_accuracy
value: 0.90625
name: Max Accuracy
verified: no, type: max_accuracy_threshold
value: 9.576812744140625
name: Max Accuracy Threshold
verified: no, type: max_f1
value: 0.929245283018868
name: Max F1
verified: no, type: max_f1_threshold
value: 9.576812744140625
name: Max F1 Threshold
verified: no, type: max_precision
value: 0.9205607476635514
name: Max Precision
verified: no, type: max_recall
value: 0.9380952380952381
name: Max Recall
verified: no, type: max_ap
value: 0.9557652464010216
name: Max Ap
verified: no
Likes: 0 | All-time downloads: 10
Created: 2024-09-13 08:14:05