Sentence Similarity
sentence-transformers
Safetensors
distilbert
feature-extraction
Generated from Trainer
dataset_size:90000
loss:CosineSimilarityLoss
Eval Results (legacy)
text-embeddings-inference
Instructions to use C-KAI/sbert-academic-group44 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use C-KAI/sbert-academic-group44 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("C-KAI/sbert-academic-group44") sentences = [ "roast lamb internal temperature celsius", "For a moderated subform of flagellation, described as bastinado, the soles of a person's bare feet are used as a target for beating (see foot whipping). In some circumstances the word flogging is used loosely to include any sort of corporal punishment, including birching and caning.", "The periodic table provides a useful framework for analyzing chemical behaviour, and is widely used in chemistry and other sciences. Dmitri Mendeleev published in 1869 the first widely recognized periodic table. He developed his table to illustrate periodic trends in the properties of the then-known elements.", "Service & Support. Key to COROB's success, is the extensive direct and partner network. The highly appreciated network sets COROB apart from competition as its main target is clearly to deliver the highest standards of customer satisfaction." ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4] - Notebooks
- Google Colab
- Kaggle
metadata
tags:
- sentence-transformers
- sentence-similarity
- feature-extraction
- generated_from_trainer
- dataset_size:90000
- loss:CosineSimilarityLoss
base_model: sentence-transformers/msmarco-distilbert-base-v4
widget:
- source_sentence: roast lamb internal temperature celsius
sentences:
- >-
For a moderated subform of flagellation, described as bastinado, the
soles of a person's bare feet are used as a target for beating (see foot
whipping). In some circumstances the word flogging is used loosely to
include any sort of corporal punishment, including birching and caning.
- >-
The periodic table provides a useful framework for analyzing chemical
behaviour, and is widely used in chemistry and other sciences. Dmitri
Mendeleev published in 1869 the first widely recognized periodic table.
He developed his table to illustrate periodic trends in the properties
of the then-known elements.
- >-
Service & Support. Key to COROB's success, is the extensive direct and
partner network. The highly appreciated network sets COROB apart from
competition as its main target is clearly to deliver the highest
standards of customer satisfaction.
- source_sentence: ups danville va phone number
sentences:
- >-
A polysaccharide is a type of sugar composed of a long chain of
monosaccharides. Examples are cellulose, starch, glycogen, and chitin.
- >-
$7.99. Get an INSTANT estimate of the cost to Refinish Countertops! Our
free calculator uses recent, trusted data to estimate costs for your
Countertop Refinishing project. For a basic 120 square feet project in
zip code 47474, the benchmark cost to Refinish Countertops ranges
between $3.60 - $7.99 per square foot* .To estimate costs for your
project: 1.or a basic 120 square feet project in zip code 47474, the
benchmark cost to Refinish Countertops ranges between $3.60 - $7.99 per
square foot* .
- >-
UPS Drop Box - Danville 370 Mt Cross Rd, Danville VA 24541 Phone Number:
(800) 742-5877
- source_sentence: incubation period of mallard duck eggs
sentences:
- >-
Havana Climate & Temperature. 1 Havana, Cuba is at 2258'N, 8224'W, 75 m
(246 ft). 2 Havana has a tropical wet and dry/ savanna climate
(Kppen-Geiger classification: Aw) with a pronounced dry season in the
low-sun months , no cold season, wet season is in the high-sun months.
- >-
compression injuries such as carpal tunnel syndrome and compression
neuropathy. A nerve conduction velocity test is often done at the same
time as an electromyogram (EMG). Pinched Nerve Overview A pinched nerve
causes pain, numbness, or tingling in the affected area due to pressure
on a nerve.
- >-
1 57% - How long is mail from kamloops to ontario? 2 62% - How long
does mail take to go from ontario to montreal? 3 74% - How long does it
take for mail from kentucky to ontario? 4 64% - How long would it take
to mail a package from ontario to georgia? 71% - How long does it take
to get mail from vermont to ontario canada? 2 62% - How long does mail
take to travel from ontario to new brunswick? 3 66% - How long does it
take for mail to get from ontario to washington sate?
- source_sentence: how to cook a rack of lamb well done
sentences:
- >-
As the 20th anniversary of Freddie's death looms — he died on November
24, 1991 — his friends have been celebrating what would have been his
65th birthday this week with an AIDS charity dinner for the Mercury
Phoenix Trust at London's Savoy Hotel, marking the start of a
fund-raising year.
- >-
Medication. Medication for ulcerative colitis can suppress the
inflammation of the colon and allow for tissues to heal. Symptoms
including diarrhea, bleeding, and abdominal pain can also be reduced and
controlled with effective medication.
- >-
Rack Opinions. To roast a lamb rack with the traditional method, you
place your seasoned racks in a ripping hot oven (around 450°F), and
basically hope that the center reaches the perfect medium rare (around
125 to 130°F), just as the exterior hits that
deep-golden-brown-but-not-yet-black sweet spot.ack Opinions. To roast a
lamb rack with the traditional method, you place your seasoned racks in
a ripping hot oven (around 450°F), and basically hope that the center
reaches the perfect medium rare (around 125 to 130°F), just as the
exterior hits that deep-golden-brown-but-not-yet-black sweet spot.
- source_sentence: when is best time of year to visit vegas
sentences:
- >-
Extended Description of this Name (viewable to Premium Members only).
You enjoy freedom from monotony and are stimulated by unexpected
opportunities for meeting people, entertaining, or pursuing activities
of a carefree nature. In your work, you find it difficult to be neat and
orderly.viewable to Premium Members only). Below is a brief analysis of
the first name only. For an analysis of your full name and destiny, see
our full free Name and Birth Date Report service for further details.
- >-
Create anything you can imagine. Anywhere you are. The world's best
imaging and design app is at the core of almost every creative project.
Work across desktop and mobile devices to create and enhance your
photographs, web and mobile app designs, 3D artwork, videos, and more.
- >-
Of all the Tiger subspecies, P. t. corbetti showed the highest genetic
diversity in microsatellite alleles, indicating a fairly stable
evolutionary history, and alleles found in other subspecies were almost
always a subset of those found in P. t. corbetti. Luo et al.
pipeline_tag: sentence-similarity
library_name: sentence-transformers
metrics:
- pearson_cosine
- spearman_cosine
model-index:
- name: >-
SentenceTransformer based on
sentence-transformers/msmarco-distilbert-base-v4
results:
- task:
type: semantic-similarity
name: Semantic Similarity
dataset:
name: val eval
type: val-eval
metrics:
- type: pearson_cosine
value: 0.9685934106430019
name: Pearson Cosine
- type: spearman_cosine
value: 0.8659063123134304
name: Spearman Cosine
SentenceTransformer based on sentence-transformers/msmarco-distilbert-base-v4
This is a sentence-transformers model finetuned from sentence-transformers/msmarco-distilbert-base-v4. It maps sentences & paragraphs to a 768-dimensional dense vector space and can be used for semantic textual similarity, semantic search, paraphrase mining, text classification, clustering, and more.
Model Details
Model Description
- Model Type: Sentence Transformer
- Base model: sentence-transformers/msmarco-distilbert-base-v4
- Maximum Sequence Length: 512 tokens
- Output Dimensionality: 768 dimensions
- Similarity Function: Cosine Similarity
Model Sources
- Documentation: Sentence Transformers Documentation
- Repository: Sentence Transformers on GitHub
- Hugging Face: Sentence Transformers on Hugging Face
Full Model Architecture
SentenceTransformer(
(0): Transformer({'max_seq_length': 512, 'do_lower_case': False}) with Transformer model: DistilBertModel
(1): Pooling({'word_embedding_dimension': 768, 'pooling_mode_cls_token': False, 'pooling_mode_mean_tokens': True, 'pooling_mode_max_tokens': False, 'pooling_mode_mean_sqrt_len_tokens': False, 'pooling_mode_weightedmean_tokens': False, 'pooling_mode_lasttoken': False, 'include_prompt': True})
)
Usage
Direct Usage (Sentence Transformers)
First install the Sentence Transformers library:
pip install -U sentence-transformers
Then you can load this model and run inference.
from sentence_transformers import SentenceTransformer
# Download from the 🤗 Hub
model = SentenceTransformer("C-KAI/sbert-academic-group44")
# Run inference
sentences = [
'when is best time of year to visit vegas',
'Of all the Tiger subspecies, P. t. corbetti showed the highest genetic diversity in microsatellite alleles, indicating a fairly stable evolutionary history, and alleles found in other subspecies were almost always a subset of those found in P. t. corbetti. Luo et al.',
'Extended Description of this Name (viewable to Premium Members only). You enjoy freedom from monotony and are stimulated by unexpected opportunities for meeting people, entertaining, or pursuing activities of a carefree nature. In your work, you find it difficult to be neat and orderly.viewable to Premium Members only). Below is a brief analysis of the first name only. For an analysis of your full name and destiny, see our full free Name and Birth Date Report service for further details.',
]
embeddings = model.encode(sentences)
print(embeddings.shape)
# [3, 768]
# Get the similarity scores for the embeddings
similarities = model.similarity(embeddings, embeddings)
print(similarities.shape)
# [3, 3]
Evaluation
Metrics
Semantic Similarity
- Dataset:
val-eval - Evaluated with
EmbeddingSimilarityEvaluator
| Metric | Value |
|---|---|
| pearson_cosine | 0.9686 |
| spearman_cosine | 0.8659 |
Training Details
Training Dataset
Unnamed Dataset
- Size: 90,000 training samples
- Columns:
sentence_0,sentence_1, andlabel - Approximate statistics based on the first 1000 samples:
sentence_0 sentence_1 label type string string float details - min: 4 tokens
- mean: 9.03 tokens
- max: 32 tokens
- min: 18 tokens
- mean: 78.5 tokens
- max: 201 tokens
- min: 0.0
- mean: 0.49
- max: 1.0
- Samples:
sentence_0 sentence_1 label where is sky zone located canadaIn the 1950s, a dryer cost the equivalent of $1600 today and only ten percent of households used them. By 1997 seventy-eight percent of households owned a dry as the cost had fallen to an average $370. The report also includes a table of Brief Chronology of Clothes Dryer Improvements.0.0what is syracuse new york populationEast Syracuse, New York. East Syracuse is an incorporated village and a suburb of the City of Syracuse in eastern Onondaga County, New York. United States. As of the 2010 U.S. census, the village had a population of 3,084. It is located immediately east of Syracuse, in the town of DeWitt.1.0what are the tiny blood vessels that surround alveoliWhat is 'people-first language'? People-first or person-first language is a way of describing disability that involves putting the word person or people before the word disability or the name of a disability, rather than placing the disability first and using it as an adjective.0.0 - Loss:
CosineSimilarityLosswith these parameters:{ "loss_fct": "torch.nn.modules.loss.MSELoss" }
Training Hyperparameters
Non-Default Hyperparameters
eval_strategy: stepsper_device_train_batch_size: 32per_device_eval_batch_size: 32num_train_epochs: 2multi_dataset_batch_sampler: round_robin
All Hyperparameters
Click to expand
overwrite_output_dir: Falsedo_predict: Falseeval_strategy: stepsprediction_loss_only: Trueper_device_train_batch_size: 32per_device_eval_batch_size: 32per_gpu_train_batch_size: Noneper_gpu_eval_batch_size: Nonegradient_accumulation_steps: 1eval_accumulation_steps: Nonetorch_empty_cache_steps: Nonelearning_rate: 5e-05weight_decay: 0.0adam_beta1: 0.9adam_beta2: 0.999adam_epsilon: 1e-08max_grad_norm: 1num_train_epochs: 2max_steps: -1lr_scheduler_type: linearlr_scheduler_kwargs: {}warmup_ratio: 0.0warmup_steps: 0log_level: passivelog_level_replica: warninglog_on_each_node: Truelogging_nan_inf_filter: Truesave_safetensors: Truesave_on_each_node: Falsesave_only_model: Falserestore_callback_states_from_checkpoint: Falseno_cuda: Falseuse_cpu: Falseuse_mps_device: Falseseed: 42data_seed: Nonejit_mode_eval: Falseuse_ipex: Falsebf16: Falsefp16: Falsefp16_opt_level: O1half_precision_backend: autobf16_full_eval: Falsefp16_full_eval: Falsetf32: Nonelocal_rank: 0ddp_backend: Nonetpu_num_cores: Nonetpu_metrics_debug: Falsedebug: []dataloader_drop_last: Falsedataloader_num_workers: 0dataloader_prefetch_factor: Nonepast_index: -1disable_tqdm: Falseremove_unused_columns: Truelabel_names: Noneload_best_model_at_end: Falseignore_data_skip: Falsefsdp: []fsdp_min_num_params: 0fsdp_config: {'min_num_params': 0, 'xla': False, 'xla_fsdp_v2': False, 'xla_fsdp_grad_ckpt': False}tp_size: 0fsdp_transformer_layer_cls_to_wrap: Noneaccelerator_config: {'split_batches': False, 'dispatch_batches': None, 'even_batches': True, 'use_seedable_sampler': True, 'non_blocking': False, 'gradient_accumulation_kwargs': None}deepspeed: Nonelabel_smoothing_factor: 0.0optim: adamw_torchoptim_args: Noneadafactor: Falsegroup_by_length: Falselength_column_name: lengthddp_find_unused_parameters: Noneddp_bucket_cap_mb: Noneddp_broadcast_buffers: Falsedataloader_pin_memory: Truedataloader_persistent_workers: Falseskip_memory_metrics: Trueuse_legacy_prediction_loop: Falsepush_to_hub: Falseresume_from_checkpoint: Nonehub_model_id: Nonehub_strategy: every_savehub_private_repo: Nonehub_always_push: Falsegradient_checkpointing: Falsegradient_checkpointing_kwargs: Noneinclude_inputs_for_metrics: Falseinclude_for_metrics: []eval_do_concat_batches: Truefp16_backend: autopush_to_hub_model_id: Nonepush_to_hub_organization: Nonemp_parameters:auto_find_batch_size: Falsefull_determinism: Falsetorchdynamo: Noneray_scope: lastddp_timeout: 1800torch_compile: Falsetorch_compile_backend: Nonetorch_compile_mode: Nonedispatch_batches: Nonesplit_batches: Noneinclude_tokens_per_second: Falseinclude_num_input_tokens_seen: Falseneftune_noise_alpha: Noneoptim_target_modules: Nonebatch_eval_metrics: Falseeval_on_start: Falseuse_liger_kernel: Falseeval_use_gather_object: Falseaverage_tokens_across_devices: Falseprompts: Nonebatch_sampler: batch_samplermulti_dataset_batch_sampler: round_robin
Training Logs
| Epoch | Step | Training Loss | val-eval_spearman_cosine |
|---|---|---|---|
| 0.0355 | 100 | - | 0.8657 |
| 0.0711 | 200 | - | 0.8657 |
| 0.1066 | 300 | - | 0.8658 |
| 0.1422 | 400 | - | 0.8658 |
| 0.1777 | 500 | 0.06 | 0.8659 |
| 0.2133 | 600 | - | 0.8659 |
| 0.2488 | 700 | - | 0.8659 |
| 0.2844 | 800 | - | 0.8659 |
Framework Versions
- Python: 3.11.12
- Sentence Transformers: 4.0.2
- Transformers: 4.50.3
- PyTorch: 2.6.0+cu124
- Accelerate: 1.6.0
- Datasets: 3.5.0
- Tokenizers: 0.21.1
Citation
BibTeX
Sentence Transformers
@inproceedings{reimers-2019-sentence-bert,
title = "Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks",
author = "Reimers, Nils and Gurevych, Iryna",
booktitle = "Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing",
month = "11",
year = "2019",
publisher = "Association for Computational Linguistics",
url = "https://arxiv.org/abs/1908.10084",
}