Model: sud-962081/bge-base-argilla-sdk-matryoshka
Author: sud-962081
Pipeline: sentence-similarity
Library: sentence-transformers
Tags: sentence-transformers, safetensors, bert, sentence-similarity, feature-extraction, generated_from_trainer, dataset_size:882, loss:MatryoshkaLoss, loss:TripletLoss, en, arxiv:1908.10084, arxiv:2205.13147, arxiv:1703.07737, base_model:BAAI/bge-base-en-v1.5, base_model:finetune:BAAI/bge-base-en-v1.5, license:apache-2.0, model-index, text-embeddings-inference, endpoints_compatible, region:us
Base models (finetune): id: BAAI/bge-base-en-v1.5
Card metadata: language: en
license: apache-2.0
tags: sentence-transformers, sentence-similarity, feature-extraction, generated_from_trainer, dataset_size:882, loss:MatryoshkaLoss, loss:TripletLoss
base_model: BAAI/bge-base-en-v1.5
widget: source_sentence: dataset = Dataset(
    name="dataset_with_metadata",
    settings=Settings(
        fields=[TextField(name="text")],
        questions=[LabelQuestion(name="label", labels=["positive", "negative"])],
        vectors=[
            VectorField(name="vector_name"),
        ],
    ),
)
dataset.create()
```

Then, you can add records to the dataset with vectors that correspond to the vector field defined in the dataset settings:
sentences: The beautiful scenery of the Italian countryside inspired the artist to create a stunning watercolor painting of the Argilla region., Can a RankingQuestion be used to determine the most relevant features for a machine learning model in Argilla?, How can I go about creating a custom vector field in Argilla to store vector data?, source_sentence: description: In this section, we will provide a step-by-step guide to show how to manage datasets and configure dataset settings.

Dataset management

This guide provides an overview of datasets, explaining the basics of how to set them up and manage them in Argilla.
sentences: The new restaurant in town offers a wide variety of dishes, but the menu settings need to be reconfigured for a better dining experience., Can Argilla provide guidance on setting up dataset parameters to ensure efficient data preparation and annotation for machine learning models?, How can Argilla help in creating a vector field by initializing a VectorField object with a specific name and dimensionality?, source_sentence: Delete a user

You can delete an existing user from Argilla by calling the delete method on the User class.

```python
import argilla_sdk as rg

client = rg.Argilla(api_url="", api_key="")

user_to_delete = client.users('my_username')

deleted_user = user_to_delete.delete()
```
sentences: The beach was empty, so I decided to delete my footprint from the sand., How can I traverse the Argilla dataset to pull out specific information, like response values and user IDs, from the records and responses?, How do I go about deleting a user from Argilla using the delete method provided by the User class?, source_sentence: Iterating over records with suggestions

Just like responses, suggestions can be accessed from a Record via their question name as an attribute of the record. So if a question is named label, the suggestion can be accessed as record.label. The following example demonstrates how to access suggestions from a record object:

python
for record in dataset.records(with_suggestions=True):
    print(record.suggestions.label)

Class Reference
sentences: Can we iterate over records with suggestions to access their question names as attributes?, The new cafe in town is iterating over records of their customer feedback to improve their coffee flavors., Is it possible for Argilla to optimize my workflow for monitoring LLM pipelines and A/B testing of classification models, specifically for spans and text?, source_sentence: Make changes and push them

Make the changes you want in your local repository, and test that everything works and you are following the guidelines. Check the documentation for more information about the development.

Once you have finished, you can check the status of your repository and synchronize with the upstreaming repo with the following command:

```sh

Check the status of your repository

git status

Synchronize with the upstreaming repo
sentences: Are changes required to be made and then uploaded to the Argilla dataset repository?, Can I use Argilla's filtering feature to narrow down the search results based on specific conditions?, The beautiful scenery of the Italian town Argilla made me want to make changes to my travel plans.
pipeline_tag: sentence-similarity
library_name: sentence-transformers
metrics: cosine_accuracy@1, cosine_accuracy@3, cosine_accuracy@5, cosine_accuracy@10, cosine_precision@1, cosine_precision@3, cosine_precision@5, cosine_precision@10, cosine_recall@1, cosine_recall@3, cosine_recall@5, cosine_recall@10, cosine_ndcg@10, cosine_mrr@10, cosine_map@100
model-index: name: BGE base ArgillaSDK Matryoshka
results: task: type: information-retrieval
name: Information Retrieval
dataset: name: dim 768
type: dim_768
metrics: type: cosine_accuracy@1
value: 0.061224489795918366
name: Cosine Accuracy@1
verified: no, type: cosine_accuracy@3
value: 0.1836734693877551
name: Cosine Accuracy@3
verified: no, type: cosine_accuracy@5
value: 0.2653061224489796
name: Cosine Accuracy@5
verified: no, type: cosine_accuracy@10
value: 0.29591836734693877
name: Cosine Accuracy@10
verified: no, type: cosine_precision@1
value: 0.061224489795918366
name: Cosine Precision@1
verified: no, type: cosine_precision@3
value: 0.06122448979591836
name: Cosine Precision@3
verified: no, type: cosine_precision@5
value: 0.05306122448979592
name: Cosine Precision@5
verified: no, type: cosine_precision@10
value: 0.029591836734693875
name: Cosine Precision@10
verified: no, type: cosine_recall@1
value: 0.061224489795918366
name: Cosine Recall@1
verified: no, type: cosine_recall@3
value: 0.1836734693877551
name: Cosine Recall@3
verified: no, type: cosine_recall@5
value: 0.2653061224489796
name: Cosine Recall@5
verified: no, type: cosine_recall@10
value: 0.29591836734693877
name: Cosine Recall@10
verified: no, type: cosine_ndcg@10
value: 0.17877743107362734
name: Cosine Ndcg@10
verified: no, type: cosine_mrr@10
value: 0.1409013605442177
name: Cosine Mrr@10
verified: no, type: cosine_map@100
value: 0.15403248573620684
name: Cosine Map@100
verified: no, task: type: information-retrieval
name: Information Retrieval
dataset: name: dim 512
type: dim_512
metrics: type: cosine_accuracy@1
value: 0.07142857142857142
name: Cosine Accuracy@1
verified: no, type: cosine_accuracy@3
value: 0.1836734693877551
name: Cosine Accuracy@3
verified: no, type: cosine_accuracy@5
value: 0.25510204081632654
name: Cosine Accuracy@5
verified: no, type: cosine_accuracy@10
value: 0.30612244897959184
name: Cosine Accuracy@10
verified: no, type: cosine_precision@1
value: 0.07142857142857142
name: Cosine Precision@1
verified: no, type: cosine_precision@3
value: 0.06122448979591836
name: Cosine Precision@3
verified: no, type: cosine_precision@5
value: 0.051020408163265314
name: Cosine Precision@5
verified: no, type: cosine_precision@10
value: 0.03061224489795919
name: Cosine Precision@10
verified: no, type: cosine_recall@1
value: 0.07142857142857142
name: Cosine Recall@1
verified: no, type: cosine_recall@3
value: 0.1836734693877551
name: Cosine Recall@3
verified: no, type: cosine_recall@5
value: 0.25510204081632654
name: Cosine Recall@5
verified: no, type: cosine_recall@10
value: 0.30612244897959184
name: Cosine Recall@10
verified: no, type: cosine_ndcg@10
value: 0.17888633702518553
name: Cosine Ndcg@10
verified: no, type: cosine_mrr@10
value: 0.13887269193391644
name: Cosine Mrr@10
verified: no, type: cosine_map@100
value: 0.14994011261768814
name: Cosine Map@100
verified: no, task: type: information-retrieval
name: Information Retrieval
dataset: name: dim 256
type: dim_256
metrics: type: cosine_accuracy@1
value: 0.04081632653061224
name: Cosine Accuracy@1
verified: no, type: cosine_accuracy@3
value: 0.20408163265306123
name: Cosine Accuracy@3
verified: no, type: cosine_accuracy@5
value: 0.25510204081632654
name: Cosine Accuracy@5
verified: no, type: cosine_accuracy@10
value: 0.29591836734693877
name: Cosine Accuracy@10
verified: no, type: cosine_precision@1
value: 0.04081632653061224
name: Cosine Precision@1
verified: no, type: cosine_precision@3
value: 0.06802721088435373
name: Cosine Precision@3
verified: no, type: cosine_precision@5
value: 0.05102040816326531
name: Cosine Precision@5
verified: no, type: cosine_precision@10
value: 0.029591836734693875
name: Cosine Precision@10
verified: no, type: cosine_recall@1
value: 0.04081632653061224
name: Cosine Recall@1
verified: no, type: cosine_recall@3
value: 0.20408163265306123
name: Cosine Recall@3
verified: no, type: cosine_recall@5
value: 0.25510204081632654
name: Cosine Recall@5
verified: no, type: cosine_recall@10
value: 0.29591836734693877
name: Cosine Recall@10
verified: no, type: cosine_ndcg@10
value: 0.16359512996570535
name: Cosine Ndcg@10
verified: no, type: cosine_mrr@10
value: 0.12111273080660837
name: Cosine Mrr@10
verified: no, type: cosine_map@100
value: 0.13486861555858168
name: Cosine Map@100
verified: no, task: type: information-retrieval
name: Information Retrieval
dataset: name: dim 128
type: dim_128
metrics: type: cosine_accuracy@1
value: 0.030612244897959183
name: Cosine Accuracy@1
verified: no, type: cosine_accuracy@3
value: 0.19387755102040816
name: Cosine Accuracy@3
verified: no, type: cosine_accuracy@5
value: 0.24489795918367346
name: Cosine Accuracy@5
verified: no, type: cosine_accuracy@10
value: 0.37755102040816324
name: Cosine Accuracy@10
verified: no, type: cosine_precision@1
value: 0.030612244897959183
name: Cosine Precision@1
verified: no, type: cosine_precision@3
value: 0.06462585034013606
name: Cosine Precision@3
verified: no, type: cosine_precision@5
value: 0.04897959183673469
name: Cosine Precision@5
verified: no, type: cosine_precision@10
value: 0.03775510204081633
name: Cosine Precision@10
verified: no, type: cosine_recall@1
value: 0.030612244897959183
name: Cosine Recall@1
verified: no, type: cosine_recall@3
value: 0.19387755102040816
name: Cosine Recall@3
verified: no, type: cosine_recall@5
value: 0.24489795918367346
name: Cosine Recall@5
verified: no, type: cosine_recall@10
value: 0.37755102040816324
name: Cosine Recall@10
verified: no, type: cosine_ndcg@10
value: 0.18446318338912313
name: Cosine Ndcg@10
verified: no, type: cosine_mrr@10
value: 0.12522270813087136
name: Cosine Mrr@10
verified: no, type: cosine_map@100
value: 0.13299376323790885
name: Cosine Map@100
verified: no, task: type: information-retrieval
name: Information Retrieval
dataset: name: dim 64
type: dim_64
metrics: type: cosine_accuracy@1
value: 0.02040816326530612
name: Cosine Accuracy@1
verified: no, type: cosine_accuracy@3
value: 0.08163265306122448
name: Cosine Accuracy@3
verified: no, type: cosine_accuracy@5
value: 0.21428571428571427
name: Cosine Accuracy@5
verified: no, type: cosine_accuracy@10
value: 0.2755102040816326
name: Cosine Accuracy@10
verified: no, type: cosine_precision@1
value: 0.02040816326530612
name: Cosine Precision@1
verified: no, type: cosine_precision@3
value: 0.027210884353741496
name: Cosine Precision@3
verified: no, type: cosine_precision@5
value: 0.04285714285714286
name: Cosine Precision@5
verified: no, type: cosine_precision@10
value: 0.027551020408163266
name: Cosine Precision@10
verified: no, type: cosine_recall@1
value: 0.02040816326530612
name: Cosine Recall@1
verified: no, type: cosine_recall@3
value: 0.08163265306122448
name: Cosine Recall@3
verified: no, type: cosine_recall@5
value: 0.21428571428571427
name: Cosine Recall@5
verified: no, type: cosine_recall@10
value: 0.2755102040816326
name: Cosine Recall@10
verified: no, type: cosine_ndcg@10
value: 0.13201826308152928
name: Cosine Ndcg@10
verified: no, type: cosine_mrr@10
value: 0.08740686750890833
name: Cosine Mrr@10
verified: no, type: cosine_map@100
value: 0.10010997553556797
name: Cosine Map@100
verified: no
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Created: 2025-01-29 02:35:29