Model: DigitalAsocial/all-MiniLM-L6-v2-ds-rag
Author: DigitalAsocial
Pipeline: sentence-similarity
Library: sentence-transformers
Tags: sentence-transformers, safetensors, bert, Machine-learning, Data-Science, sentence-similarity, feature-extraction, dense, generated_from_trainer, dataset_size:167112, loss:MultipleNegativesRankingLoss, en, dataset:DigitalAsocial/ds-tb-17-g, arxiv:1908.10084, arxiv:1705.00652, base_model:sentence-transformers/all-MiniLM-L6-v2, base_model:finetune:sentence-transformers/all-MiniLM-L6-v2, license:apache-2.0, model-index, text-embeddings-inference, endpoints_compatible, region:us
Base models (finetune): id: sentence-transformers/all-MiniLM-L6-v2
Card metadata: tags: Machine-learning, Data-Science, sentence-transformers, sentence-similarity, feature-extraction, dense, generated_from_trainer, dataset_size:167112, loss:MultipleNegativesRankingLoss
widget: source_sentence: Our final beliefs about θ combine both the relevant information we had a priori and the knowledge we gained a posteriori by observing data.
sentences: To get an understanding of what the Bayesian machinery looks like in action, let us return to our coin toss example., In each case, the model returns a vector of size N that contains the probabilities of the N categories., For the moment, in fact, let us consider draws and losses to be equally bad for us., source_sentence: 57, 58, 62, 63, 77, 87, 91, 104, 137, 159, 261  logistic regression Logistic regression aims at learning a linear hypothesis map to predict a binary label based on numeric features of a data point.
sentences: Transfer learning is enabled by constructing regularization terms for a learning task by using the result of a previous leaning task., Propose a tree induction algorithm with backtracking., The quality of a linear hypothesis map (classifier) is measured using its average logistic loss on some labeled datapoints (the training set)., source_sentence: The fourth column in table  2 .9 shows the Shannon information content of the 27 possible outcomes when a random character is picked from an English document.
sentences: If you are ready, let's load up ye olde, trusty machine learning libraries and get cracking: import tensorflow as tf import keras as K

In the code, progressive smoothing in may look something like the following listing., The test set, which is constructed in step 3 of Algorithm 7, consists of data points that are neither contained in the training set (6.9) nor the validation set (6.11) used for training and validating the candidate models H (1) , ., The entropy of an ensemble X is defined to be the average Shannon information content of an outcome:

with the convention for P (x) = 0 that 0 × log 1/0 ≡ 0, since lim θ→0 + θ log 1/θ = 0., source_sentence: where β is known as the Lipschitz constant and determines the maximum gradient of the function (i.e., how fast the function can change) with respect to the distance metric.
sentences: First, let's consider the evidence that depth is required., By hand side of equation 7.17, we have:

• The derivative ∂ℓ i /∂f 3 of the loss ℓ i with respect to the network output f 3 will depend on the loss function but usually has a simple form., If the Lipschitz constant is less than one, the function is a contraction mapping, and we can use Banach's theorem to find the inverse for any point (see figure  16 .9)., source_sentence: Can you explain why this might have been so?
sentences: See  http://www.cs.utexas.edu/~ikarpov/Classes/RL/RandomWalk/  for an attempt at a thorough answer by Igor Karpov., We describe methods to choose the initial weights Ω k and biases β k so that training is stable., (3.42) is used widely in practice.
pipeline_tag: sentence-similarity
library_name: sentence-transformers
model-index: name: SentenceTransformer
results: task: type: semantic-similarity
name: Semantic Similarity
dataset: name: val
type: val
metrics: type: pearson_cosine
name: Pearson Cosine
verified: no, type: spearman_cosine
name: Spearman Cosine
verified: no
license: apache-2.0
language: en
base_model: sentence-transformers/all-MiniLM-L6-v2
datasets: DigitalAsocial/ds-tb-17-g
Likes: 0 | All-time downloads: 31
Created: 2025-12-02 00:42:14