---
base_model: thenlper/gte-small
library_name: setfit
metrics:
- accuracy
pipeline_tag: text-classification
tags:
- setfit
- sentence-transformers
- text-classification
- generated_from_setfit_trainer
widget:
- text: Walgreens shares suffered their worst monthly decline in nearly five years
    in August . In June, the company cut its full-year guidance to $4 to $4.05, while
    FactSet earnings-per-share consensus is $4.01 . The company has appointed Ginger
    Graham as interim CEO .
- text: Walgreens CEO Tim Wentworth said he's committed to the company's strategy
    of adding a range of care options atop its massive store network . He said that
    his primary focus for now is to improve the firm's finances across the board .
    The move comes as the holding company faces a tough consumer spending environment
    as well as pressure to rein in costs .
- text: Walgreens' 'non-drowsy' cough meds are anything but, lawsuit claims $3B project
    with AbilityLab's Detroit outpost breaks ground this spring There's a battle underway
    over medication abortion, the most common method of terminating a pregnancy in
    the US . The Supreme Court is scheduled to hear arguments on March 26 in a case
    that will determine how available mifepristone will be . It would also open the
    door to challenges to other FDA decisions .
- text: Walgreens' new CEO Tim Wentworth says the pressure is on to develop new drug
    pricing models . In his first earnings call as CEO, Mr.Wentworth said "everything
    is on the table to deliver greater shareholder value" he noted that "the fact
    that there may be some more marketplace pull there only presents a sense of urgency"
- text: Wentworth will become Walgreens CEO effective Oct. 23 . He is the former CEO
    of Express Scripts, the pharmacy benefit manager acquired by Cigna in 2018 .
inference: true
---

# SetFit with thenlper/gte-small

This is a [SetFit](https://github.com/huggingface/setfit) model that can be used for Text Classification. This SetFit model uses [thenlper/gte-small](https://huggingface.co/thenlper/gte-small) as the Sentence Transformer embedding model. A [LogisticRegression](https://scikit-learn.org/stable/modules/generated/sklearn.linear_model.LogisticRegression.html) 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](https://www.sbert.net) with contrastive learning.
2. Training a classification head with features from the fine-tuned Sentence Transformer.

## Model Details

### Model Description
- **Model Type:** SetFit
- **Sentence Transformer body:** [thenlper/gte-small](https://huggingface.co/thenlper/gte-small)
- **Classification head:** a [LogisticRegression](https://scikit-learn.org/stable/modules/generated/sklearn.linear_model.LogisticRegression.html) instance
- **Maximum Sequence Length:** 512 tokens
- **Number of Classes:** 2 classes
<!-- - **Training Dataset:** [Unknown](https://huggingface.co/datasets/unknown) -->
<!-- - **Language:** Unknown -->
<!-- - **License:** Unknown -->

### Model Sources

- **Repository:** [SetFit on GitHub](https://github.com/huggingface/setfit)
- **Paper:** [Efficient Few-Shot Learning Without Prompts](https://arxiv.org/abs/2209.11055)
- **Blogpost:** [SetFit: Efficient Few-Shot Learning Without Prompts](https://huggingface.co/blog/setfit)

### Model Labels
| Label | Examples                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                 |
|:------|:-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| 1     | <ul><li>'Wentworth will become Walgreens CEO effective Oct. 23 . He is the former CEO of Express Scripts, the pharmacy benefit manager acquired by Cigna in 2018 .'</li><li>'CVS Health announces CFO Shawn Guertin to take leave of absence . Senior Vice President of Corporate Finance, Tom Cowhey, has been appointed interim CFO . CEO of Oak Street Health Mike Pykosz has been named interim President of Health Services .'</li><li>'Walgreens Boots Alliance Inc. appointed Tim Wentworth as its next chief executive officer . The former CEO of pharmacy-benefits manager Express Scripts succeeds Rosalind Brewer, a longtime retail executive whose 2 1/2-year tenure saw the shares lose half their value .'</li></ul>                                                                                                                                                                                                                                                     |
| 0     | <ul><li>"Dove's Milk Chocolate Tiramisu Caramel Promises is debuting a new addition to its Promises line of sweets . Inspired by the Italian dessert, the candy features a tiramisu-flavored caramel center that is surrounded by milk chocolate . The new flavor features fried dough flavored cookies with a churro flavored crème ."</li><li>"Walgreens' 'non-drowsy' cough meds are anything but, lawsuit claims $3B project with AbilityLab's Detroit outpost breaks ground this spring There's a battle underway over medication abortion, the most common method of terminating a pregnancy in the US . The Supreme Court is scheduled to hear arguments on March 26 in a case that will determine how available mifepristone will be . It would also open the door to challenges to other FDA decisions ."</li><li>'CVS Health invests more than $3M to improve health outcomes in Phoenix Terms of use Photo and video available via the CVS health Newsroom are for'</li></ul> |

## Uses

### Direct Use for Inference

First install the SetFit library:

```bash
pip install setfit
```

Then you can load this model and run inference.

```python
from setfit import SetFitModel

# Download from the 🤗 Hub
model = SetFitModel.from_pretrained("luis-espinosa/gte-small_lc_summs_setfit")
# Run inference
preds = model("Wentworth will become Walgreens CEO effective Oct. 23 . He is the former CEO of Express Scripts, the pharmacy benefit manager acquired by Cigna in 2018 .")
```

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## Training Details

### Training Set Metrics
| Training set | Min | Median  | Max |
|:-------------|:----|:--------|:----|
| Word count   | 26  | 52.6190 | 80  |

| Label | Training Sample Count |
|:------|:----------------------|
| 0     | 11                    |
| 1     | 10                    |

### Training Hyperparameters
- batch_size: (16, 16)
- num_epochs: (3, 3)
- 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 |
|:------:|:----:|:-------------:|:---------------:|
| 0.0189 | 1    | 0.3391        | -               |
| 0.9434 | 50   | 0.0106        | -               |
| 1.8868 | 100  | 0.001         | -               |
| 2.8302 | 150  | 0.0005        | -               |

### Framework Versions
- Python: 3.10.12
- SetFit: 1.0.3
- Sentence Transformers: 3.0.1
- Transformers: 4.41.2
- PyTorch: 2.3.1+cu121
- Datasets: 2.19.2
- Tokenizers: 0.19.1

## Citation

### BibTeX
```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}
}
```

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