Model: Gurveer05/mxbai-embed-large-v1-eedi-2024
Author: Gurveer05
Pipeline: sentence-similarity
Library: sentence-transformers
Tags: sentence-transformers, safetensors, bert, sentence-similarity, feature-extraction, generated_from_trainer, dataset_size:3059, loss:CosineSimilarityLoss, arxiv:1908.10084, base_model:mixedbread-ai/mxbai-embed-large-v1, base_model:finetune:mixedbread-ai/mxbai-embed-large-v1, model-index, text-embeddings-inference, endpoints_compatible, region:us
Base models (finetune): id: mixedbread-ai/mxbai-embed-large-v1
Card metadata: base_model: mixedbread-ai/mxbai-embed-large-v1
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:3059, loss:CosineSimilarityLoss
widget: source_sentence: Construct: Carry out addition problems involving two negative integers - Question: (-5)+(-2)= Answer: 7
sentences: Believes adding two negatives gives a positive answer, Changes wrong place value column when rounding, When reading value from graph, reads from the wrong axes., source_sentence: Construct: Subtract decimals where the numbers involved have a different number of decimal places - Question: 4.72-3.1 What should replace the star? Answer: 4.41
sentences: Rounds to the wrong degree of accuracy (rounds too much), When solving an equation, uses the same operation rather than the inverse., Hasn't lined up the place value columns when writing out the calculation, source_sentence: Construct: Given information about one part, work out other parts - Question: Kate and Isaac share some sweets in the ratio 3: 2 Kate receives 60 sweets. How many sweets does Isaac receive? Answer: 20
sentences: Believes multiplying a positive by a negative gives a positive answer, Finds one part of a ratio but doesn't multiply that by the number of parts needed, Does not recognise that a linear sequence must increase or decrease by same amount, source_sentence: Construct: Construct a triangle using Side-Angle-Side - Question: Which combination of mathematical instruments has been used to construct this triangle? ![A triangle construction with one angle and two sides labelled ]() Answer: Protractor Compass
sentences: Forgets you need a ruler to measure lengths, Multiplies by 1000 instead of 100 when converting a decimal to a percentage, Gets their constants and coefficients the wrong way around when writing a formula from a given situation, source_sentence: Construct: Convert from weeks to hours - Question: Which one of the following calculations would work out the number of hours in 5 weeks? Answer: 5 × 5 × 24
sentences: Thinks there are 5 days in a week, Mistakes unit of speed for unit of time, Believes multiplying two negatives gives a negative answer
model-index: name: SentenceTransformer based on mixedbread-ai/mxbai-embed-large-v1
results: task: type: binary-classification
name: Binary Classification
dataset: name: Unknown
type: unknown
metrics: type: cosine_accuracy
value: 0.9992372234935164
name: Cosine Accuracy
verified: no, type: cosine_accuracy_threshold
value: 0.9922823905944824
name: Cosine Accuracy Threshold
verified: no, type: cosine_f1
value: 0.9996184662342616
name: Cosine F1
verified: no, type: cosine_f1_threshold
value: 0.9922823905944824
name: Cosine F1 Threshold
verified: no, type: cosine_precision
value: 1
name: Cosine Precision
verified: no, type: cosine_recall
value: 0.9992372234935164
name: Cosine Recall
verified: no, type: cosine_ap
value: 1
name: Cosine Ap
verified: no, type: dot_accuracy
value: 0.9992372234935164
name: Dot Accuracy
verified: no, type: dot_accuracy_threshold
value: 261.09979248046875
name: Dot Accuracy Threshold
verified: no, type: dot_f1
value: 0.9996184662342616
name: Dot F1
verified: no, type: dot_f1_threshold
value: 261.09979248046875
name: Dot F1 Threshold
verified: no, type: dot_precision
value: 1
name: Dot Precision
verified: no, type: dot_recall
value: 0.9992372234935164
name: Dot Recall
verified: no, type: dot_ap
value: 1
name: Dot Ap
verified: no, type: manhattan_accuracy
value: 0.9992372234935164
name: Manhattan Accuracy
verified: no, type: manhattan_accuracy_threshold
value: 54.22374725341797
name: Manhattan Accuracy Threshold
verified: no, type: manhattan_f1
value: 0.9996184662342616
name: Manhattan F1
verified: no, type: manhattan_f1_threshold
value: 54.22374725341797
name: Manhattan F1 Threshold
verified: no, type: manhattan_precision
value: 1
name: Manhattan Precision
verified: no, type: manhattan_recall
value: 0.9992372234935164
name: Manhattan Recall
verified: no, type: manhattan_ap
value: 0.9999999999999999
name: Manhattan Ap
verified: no, type: euclidean_accuracy
value: 0.9992372234935164
name: Euclidean Accuracy
verified: no, type: euclidean_accuracy_threshold
value: 2.123175621032715
name: Euclidean Accuracy Threshold
verified: no, type: euclidean_f1
value: 0.9996184662342616
name: Euclidean F1
verified: no, type: euclidean_f1_threshold
value: 2.123175621032715
name: Euclidean F1 Threshold
verified: no, type: euclidean_precision
value: 1
name: Euclidean Precision
verified: no, type: euclidean_recall
value: 0.9992372234935164
name: Euclidean Recall
verified: no, type: euclidean_ap
value: 0.9999999999999999
name: Euclidean Ap
verified: no, type: max_accuracy
value: 0.9992372234935164
name: Max Accuracy
verified: no, type: max_accuracy_threshold
value: 261.09979248046875
name: Max Accuracy Threshold
verified: no, type: max_f1
value: 0.9996184662342616
name: Max F1
verified: no, type: max_f1_threshold
value: 261.09979248046875
name: Max F1 Threshold
verified: no, type: max_precision
value: 1
name: Max Precision
verified: no, type: max_recall
value: 0.9992372234935164
name: Max Recall
verified: no, type: max_ap
value: 1
name: Max Ap
verified: no
Likes: 0 | All-time downloads: 14
Created: 2024-09-17 14:30:39