Model: srikarvar/fine_tuned_model_12
Author: srikarvar
Pipeline: sentence-similarity
Library: sentence-transformers
Tags: sentence-transformers, safetensors, bert, sentence-similarity, feature-extraction, generated_from_trainer, dataset_size:560, loss:OnlineContrastiveLoss, arxiv:1908.10084, base_model:srikarvar/fine_tuned_model_5, base_model:finetune:srikarvar/fine_tuned_model_5, model-index, text-embeddings-inference, endpoints_compatible, region:us
Base models (finetune): id: srikarvar/fine_tuned_model_5
Card metadata: base_model: srikarvar/fine_tuned_model_5
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:OnlineContrastiveLoss
widget: source_sentence: The `Garage` class has a `to_services` method which is used to transform tasks into a list of `ServiceRecord` objects that are scheduled.
sentences: The `to_services` method in the Garage class is used to convert Garage tasks to a list of scheduled `ServiceRecord` objects., It returns a `Recipe` for the specified serving size., The AI community is a group of individuals who collaborate on models, datasets, and tools to advance artificial intelligence research., source_sentence: The main version of the guide contains the INSTALLATION page. Click the link to be directed there.
sentences: You can bake bread by following the Bake bread tutorial., The base class for documents generated from a data stream is StreamBasedBuilder., You can find the INSTALLATION page in the main version of the guide. Click on the provided link to redirect to the main version., source_sentence: A major distinction between a ProductList and an InventoryList is that a ProductList allows for random access to the items, while an InventoryList updates gradually as it is navigated.
sentences: The how-to guides for the platform include Setup, Processing, Streaming, TensorFlow integration, PyTorch integration, Cache management, Cloud storage, Search index, Analytics, and Data Pipelines., Yes, there is a tutorial for analyzing stock market data. You can find it at the link provided: /docs/stocks/v2.10.0/data_analysis., The main difference between a ProductList and an InventoryList is that a ProductList provides random access to the items, while an InventoryList updates progressively as you browse the list., source_sentence: ImageFolder is a dataset builder that eliminates the need for coding to quickly load a dataset with thousands of image files. It will automatically incorporate any extra data such as resolution, format, or tags, provided that it is included in a metadata file (metadata.csv/metadata.jsonl).
sentences: The function `calc_and_sum` returns the calculated value and sum., Some examples of supported network drives are Network File System (NFS), Server Message Block (SMB), and WebDAV., ImageFolder is a dataset builder designed to quickly load an image dataset with several thousand image files without requiring you to write any code. It automatically loads any additional information about your dataset, such as image resolution, format, or image tags, as long as you include this information in a metadata file (metadata.csv/metadata.jsonl)., source_sentence: The `num_services` method gives the quantity of services in the garage.
sentences: A signature in the sales database is a unique identifier for a transaction that is updated every time a change is made. It is computed by combining the previous signature and a hash of the latest update applied., The `num_services` method returns the number of services in the garage., It returns the number of entries in the dataset.
model-index: name: SentenceTransformer based on srikarvar/fine_tuned_model_5
results: task: type: binary-classification
name: Binary Classification
dataset: name: pair class dev
type: pair-class-dev
metrics: type: cosine_accuracy
value: 0.9821428571428571
name: Cosine Accuracy
verified: no, type: cosine_accuracy_threshold
value: 0.9922685623168945
name: Cosine Accuracy Threshold
verified: no, type: cosine_f1
value: 0.9909909909909909
name: Cosine F1
verified: no, type: cosine_f1_threshold
value: 0.9922685623168945
name: Cosine F1 Threshold
verified: no, type: cosine_precision
value: 1
name: Cosine Precision
verified: no, type: cosine_recall
value: 0.9821428571428571
name: Cosine Recall
verified: no, type: cosine_ap
value: 1
name: Cosine Ap
verified: no, type: dot_accuracy
value: 0.9821428571428571
name: Dot Accuracy
verified: no, type: dot_accuracy_threshold
value: 0.9922685623168945
name: Dot Accuracy Threshold
verified: no, type: dot_f1
value: 0.9909909909909909
name: Dot F1
verified: no, type: dot_f1_threshold
value: 0.9922685623168945
name: Dot F1 Threshold
verified: no, type: dot_precision
value: 1
name: Dot Precision
verified: no, type: dot_recall
value: 0.9821428571428571
name: Dot Recall
verified: no, type: dot_ap
value: 1
name: Dot Ap
verified: no, type: manhattan_accuracy
value: 0.9821428571428571
name: Manhattan Accuracy
verified: no, type: manhattan_accuracy_threshold
value: 1.8805665969848633
name: Manhattan Accuracy Threshold
verified: no, type: manhattan_f1
value: 0.9909909909909909
name: Manhattan F1
verified: no, type: manhattan_f1_threshold
value: 1.8805665969848633
name: Manhattan F1 Threshold
verified: no, type: manhattan_precision
value: 1
name: Manhattan Precision
verified: no, type: manhattan_recall
value: 0.9821428571428571
name: Manhattan Recall
verified: no, type: manhattan_ap
value: 1
name: Manhattan Ap
verified: no, type: euclidean_accuracy
value: 0.9821428571428571
name: Euclidean Accuracy
verified: no, type: euclidean_accuracy_threshold
value: 0.12164457887411118
name: Euclidean Accuracy Threshold
verified: no, type: euclidean_f1
value: 0.9909909909909909
name: Euclidean F1
verified: no, type: euclidean_f1_threshold
value: 0.12164457887411118
name: Euclidean F1 Threshold
verified: no, type: euclidean_precision
value: 1
name: Euclidean Precision
verified: no, type: euclidean_recall
value: 0.9821428571428571
name: Euclidean Recall
verified: no, type: euclidean_ap
value: 1
name: Euclidean Ap
verified: no, type: max_accuracy
value: 0.9821428571428571
name: Max Accuracy
verified: no, type: max_accuracy_threshold
value: 1.8805665969848633
name: Max Accuracy Threshold
verified: no, type: max_f1
value: 0.9909909909909909
name: Max F1
verified: no, type: max_f1_threshold
value: 1.8805665969848633
name: Max F1 Threshold
verified: no, type: max_precision
value: 1
name: Max Precision
verified: no, type: max_recall
value: 0.9821428571428571
name: Max Recall
verified: no, type: max_ap
value: 1
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: 0.9821428571428571
name: Cosine Accuracy
verified: no, type: cosine_accuracy_threshold
value: 0.9922685623168945
name: Cosine Accuracy Threshold
verified: no, type: cosine_f1
value: 0.9909909909909909
name: Cosine F1
verified: no, type: cosine_f1_threshold
value: 0.9922685623168945
name: Cosine F1 Threshold
verified: no, type: cosine_precision
value: 1
name: Cosine Precision
verified: no, type: cosine_recall
value: 0.9821428571428571
name: Cosine Recall
verified: no, type: cosine_ap
value: 1
name: Cosine Ap
verified: no, type: dot_accuracy
value: 0.9821428571428571
name: Dot Accuracy
verified: no, type: dot_accuracy_threshold
value: 0.9922685623168945
name: Dot Accuracy Threshold
verified: no, type: dot_f1
value: 0.9909909909909909
name: Dot F1
verified: no, type: dot_f1_threshold
value: 0.9922685623168945
name: Dot F1 Threshold
verified: no, type: dot_precision
value: 1
name: Dot Precision
verified: no, type: dot_recall
value: 0.9821428571428571
name: Dot Recall
verified: no, type: dot_ap
value: 1
name: Dot Ap
verified: no, type: manhattan_accuracy
value: 0.9821428571428571
name: Manhattan Accuracy
verified: no, type: manhattan_accuracy_threshold
value: 1.8805665969848633
name: Manhattan Accuracy Threshold
verified: no, type: manhattan_f1
value: 0.9909909909909909
name: Manhattan F1
verified: no, type: manhattan_f1_threshold
value: 1.8805665969848633
name: Manhattan F1 Threshold
verified: no, type: manhattan_precision
value: 1
name: Manhattan Precision
verified: no, type: manhattan_recall
value: 0.9821428571428571
name: Manhattan Recall
verified: no, type: manhattan_ap
value: 1
name: Manhattan Ap
verified: no, type: euclidean_accuracy
value: 0.9821428571428571
name: Euclidean Accuracy
verified: no, type: euclidean_accuracy_threshold
value: 0.12164457887411118
name: Euclidean Accuracy Threshold
verified: no, type: euclidean_f1
value: 0.9909909909909909
name: Euclidean F1
verified: no, type: euclidean_f1_threshold
value: 0.12164457887411118
name: Euclidean F1 Threshold
verified: no, type: euclidean_precision
value: 1
name: Euclidean Precision
verified: no, type: euclidean_recall
value: 0.9821428571428571
name: Euclidean Recall
verified: no, type: euclidean_ap
value: 1
name: Euclidean Ap
verified: no, type: max_accuracy
value: 0.9821428571428571
name: Max Accuracy
verified: no, type: max_accuracy_threshold
value: 1.8805665969848633
name: Max Accuracy Threshold
verified: no, type: max_f1
value: 0.9909909909909909
name: Max F1
verified: no, type: max_f1_threshold
value: 1.8805665969848633
name: Max F1 Threshold
verified: no, type: max_precision
value: 1
name: Max Precision
verified: no, type: max_recall
value: 0.9821428571428571
name: Max Recall
verified: no, type: max_ap
value: 1
name: Max Ap
verified: no
Likes: 0 | All-time downloads: 8
Created: 2024-09-15 21:23:26