Edit model card

SetFit with sentence-transformers/paraphrase-mpnet-base-v2

This is a SetFit model that can be used for Text Classification. This SetFit model uses sentence-transformers/paraphrase-mpnet-base-v2 as the Sentence Transformer embedding model. A SetFitHead instance is used for classification.

The model has been trained using an efficient few-shot learning technique that involves:

  1. Fine-tuning a Sentence Transformer with contrastive learning.
  2. Training a classification head with features from the fine-tuned Sentence Transformer.

Model Details

Model Description

Model Sources

Model Labels

Label Examples
3
  • 'There were relatively few cases reported of attempts to involve users in service planning but their involvement in service provision was found to be more common . '
  • "At St. Mary 's Church in Ilminster , Somerset , the bells have fallen silent following a dust-up over church attendance . "
  • 'Treatment should be delayed or discontinued , or the dose reduced , in patients whose blood counts are abnormal or who have certain other side effects . '
6
  • 'If you were especially helpful in a corrupt scheme you received not just cash in a bag , but equity . '
  • "Moreover , conservatives argue that it 's Justice Elena Kagan who has an ethical issue , not Scalia and Thomas . "
  • 'No one speaks , and the snaking of the ropes seems to make as much sound as the bells themselves , muffled by the ceiling . '
2
  • 'In and around all levels of government in the U.S. are groups of people who can best be described as belonging to a political insider commercial party . '
  • 'The report and a casebook of initiatives will be published in 1996 and provide the backdrop for a conference to be staged in Autumn , 1996 . '
  • 'This building shook like hell and it kept getting stronger . '
0
  • 'For months the Johns Hopkins researchers , using gene probes , experimentally crawled down the length of chromosome 17 , looking for the smallest common bit of genetic material lost in all tumor cells . '
  • 'It explains how the Committee for Medicinal Products for Human Use ( CHMP ) assessed the studies performed , to reach their recommendations on how to use the medicine . '
  • '-- Most important of all , schools should have principals with a large measure of authority over the faculty , the curriculum , and all matters of student discipline . '
5
  • ': = : It is used to define a variable value . '
  • 'I could also see the clouds across the bay from the horrible fire in the Marina District of San Francisco . '
  • 'The man with the clipboard represented a halfhearted attempt to introduce a bit of les sportif into our itinerary . '
4
  • "First , why ticket splitting has increased and taken the peculiar pattern that it has over the past half century : Prior to the election of Franklin Roosevelt as president and the advent of the New Deal , government occupied a much smaller role in society and the prisoner 's dilemma problem confronting voters in races for Congress was considerably less severe . "
  • 'The second quarter was more of the same , but the Alavan team opted for the inside game of Barac and the work of Eliyahu , who was greeted with whistles and applause at his return home , to continue increasing their lead by half-time ( 34-43 ) . '
  • 'In 2005 , the fear of invasion of the national territory by hordes of Polish plumbers was felt both on the Left and on the Right . '
1
  • 'Progressive education ( as it was once called ) is far more interesting and agreeable to teachers than is disciplined instruction . '
  • "Ringing does become a bit of an obsession , `` admits Stephanie Pattenden , master of the band at St. Mary Abbot and one of England 's best female ringers . "
  • "He says the neighbors complain , but I do n't believe it . "

Evaluation

Metrics

Label Accuracy
all 0.1616

Uses

Direct Use for Inference

First install the SetFit library:

pip install setfit

Then you can load this model and run inference.

from setfit import SetFitModel

# Download from the 🤗 Hub
model = SetFitModel.from_pretrained("HelgeKn/SemEval-multi-label-v2")
# Run inference
preds = model("`` But why pay her bills ? ")

Training Details

Training Set Metrics

Training set Min Median Max
Word count 6 25.8929 75
Label Training Sample Count
0 8
1 8
2 8
3 8
4 8
5 8
6 8

Training Hyperparameters

  • batch_size: (16, 16)
  • num_epochs: (1, 1)
  • max_steps: -1
  • sampling_strategy: oversampling
  • num_iterations: 20
  • body_learning_rate: (2e-05, 2e-05)
  • head_learning_rate: 2e-05
  • loss: CosineSimilarityLoss
  • distance_metric: cosine_distance
  • margin: 0.25
  • end_to_end: False
  • use_amp: False
  • warmup_proportion: 0.1
  • seed: 42
  • eval_max_steps: -1
  • load_best_model_at_end: False

Training Results

Epoch Step Training Loss Validation Loss
0.0071 1 0.2758 -
0.3571 50 0.1622 -
0.7143 100 0.0874 -

Framework Versions

  • Python: 3.9.13
  • SetFit: 1.0.1
  • Sentence Transformers: 2.2.2
  • Transformers: 4.36.0
  • PyTorch: 2.1.1+cpu
  • Datasets: 2.15.0
  • Tokenizers: 0.15.0

Citation

BibTeX

@article{https://doi.org/10.48550/arxiv.2209.11055,
    doi = {10.48550/ARXIV.2209.11055},
    url = {https://arxiv.org/abs/2209.11055},
    author = {Tunstall, Lewis and Reimers, Nils and Jo, Unso Eun Seo and Bates, Luke and Korat, Daniel and Wasserblat, Moshe and Pereg, Oren},
    keywords = {Computation and Language (cs.CL), FOS: Computer and information sciences, FOS: Computer and information sciences},
    title = {Efficient Few-Shot Learning Without Prompts},
    publisher = {arXiv},
    year = {2022},
    copyright = {Creative Commons Attribution 4.0 International}
}
Downloads last month
11
Safetensors
Model size
109M params
Tensor type
F32
·
Inference Examples
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social visibility and check back later, or deploy to Inference Endpoints (dedicated) instead.

Model tree for HelgeKn/SemEval-multi-label-v2

Finetuned
(247)
this model

Evaluation results