---
tags:
- setfit
- sentence-transformers
- text-classification
- generated_from_setfit_trainer
widget:
- text: I need some icon suggestions for this layout
- text: Tighten the letter spacing
- text: Group the logo and title together
- text: Create a photo of a mountain landscape
- text: Mirror the logo vertically
metrics:
- accuracy
pipeline_tag: text-classification
library_name: setfit
inference: true
base_model: nomic-ai/nomic-embed-text-v1.5
model-index:
- name: SetFit with nomic-ai/nomic-embed-text-v1.5
  results:
  - task:
      type: text-classification
      name: Text Classification
    dataset:
      name: Unknown
      type: unknown
      split: test
    metrics:
    - type: accuracy
      value: 0.29854096520763185
      name: Accuracy
---

# SetFit with nomic-ai/nomic-embed-text-v1.5

This is a [SetFit](https://github.com/huggingface/setfit) model that can be used for Text Classification. This SetFit model uses [nomic-ai/nomic-embed-text-v1.5](https://huggingface.co/nomic-ai/nomic-embed-text-v1.5) 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:** [nomic-ai/nomic-embed-text-v1.5](https://huggingface.co/nomic-ai/nomic-embed-text-v1.5)
- **Classification head:** a [LogisticRegression](https://scikit-learn.org/stable/modules/generated/sklearn.linear_model.LogisticRegression.html) instance
- **Maximum Sequence Length:** 8192 tokens
- **Number of Classes:** 63 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                                                           |
|:------|:-------------------------------------------------------------------|
| 0     | <ul><li>'Add a corporate presentation background'</li></ul>        |
| 1     | <ul><li>'I need some icon suggestions for this layout'</li></ul>   |
| 2     | <ul><li>"Add a heading that says 'Welcome'"</li></ul>              |
| 3     | <ul><li>'Distribute the shapes across the page'</li></ul>          |
| 4     | <ul><li>'Add a zoom animation to the logo'</li></ul>               |
| 5     | <ul><li>'Make everything fade in gradually'</li></ul>              |
| 6     | <ul><li>'Remove the unwanted text overlay'</li></ul>               |
| 7     | <ul><li>'Remove the background shape'</li></ul>                    |
| 8     | <ul><li>'What shape options do you have?'</li></ul>                |
| 9     | <ul><li>'Distribute the buttons around the center image'</li></ul> |
| 10    | <ul><li>'Duplicate the page structure'</li></ul>                   |
| 11    | <ul><li>'Duplicate the icon and move it'</li></ul>                 |
| 12    | <ul><li>'Copy the content to the final page'</li></ul>             |
| 13    | <ul><li>'Fix the letter spacing'</li></ul>                         |
| 14    | <ul><li>'Mirror the logo vertically'</li></ul>                     |
| 15    | <ul><li>'Create a photo of a mountain landscape'</li></ul>         |
| 16    | <ul><li>'Create a card for a birthday party'</li></ul>             |
| 17    | <ul><li>'Group the logo and title together'</li></ul>              |
| 18    | <ul><li>'Move the image to the center'</li></ul>                   |
| 19    | <ul><li>'Apply a vintage filter to the photo'</li></ul>            |
| 20    | <ul><li>'Find me texture patterns'</li></ul>                       |
| 21    | <ul><li>'Restore the previous color'</li></ul>                     |
| 22    | <ul><li>'Remove the background from the illustration'</li></ul>    |
| 23    | <ul><li>'Delete the old sign'</li></ul>                            |
| 24    | <ul><li>'Replace the old logo with a new one'</li></ul>            |
| 25    | <ul><li>'Replace the tagline'</li></ul>                            |
| 26    | <ul><li>'Reset the image adjustments'</li></ul>                    |
| 27    | <ul><li>'Scale the text up'</li></ul>                              |
| 28    | <ul><li>'Resize to LinkedIn post dimensions'</li></ul>             |
| 29    | <ul><li>'Turn the logo 270 degrees'</li></ul>                      |
| 30    | <ul><li>'Scatter the particles around the text'</li></ul>          |
| 31    | <ul><li>'Select the footer content'</li></ul>                      |
| 32    | <ul><li>'Change to a light gray background'</li></ul>              |
| 33    | <ul><li>'Change the blend mode to color burn'</li></ul>            |
| 34    | <ul><li>'Blur the logo slightly'</li></ul>                         |
| 35    | <ul><li>'Add a double border to the image'</li></ul>               |
| 36    | <ul><li>'Make the photo more illuminated'</li></ul>                |
| 37    | <ul><li>'Send the logo to the back'</li></ul>                      |
| 38    | <ul><li>'Increase the image contrast'</li></ul>                    |
| 39    | <ul><li>'Crop to a polygon'</li></ul>                              |
| 40    | <ul><li>'Add a gradient shadow'</li></ul>                          |
| 41    | <ul><li>'Change the background color to green'</li></ul>           |
| 42    | <ul><li>'Increase the menu font size'</li></ul>                    |
| 43    | <ul><li>'Make the text bold and strikethrough'</li></ul>           |
| 44    | <ul><li>'Use a decorative font for the logo'</li></ul>             |
| 45    | <ul><li>'Brighten the light areas'</li></ul>                       |
| 46    | <ul><li>'Set the picture as full background'</li></ul>             |
| 47    | <ul><li>'Tighten the letter spacing'</li></ul>                     |
| 48    | <ul><li>'Add more line height'</li></ul>                           |
| 49    | <ul><li>'Reduce the opacity of the overlay'</li></ul>              |
| 50    | <ul><li>'Reduce the paragraph spacing'</li></ul>                   |
| 51    | <ul><li>'Make the colors more vibrant'</li></ul>                   |
| 52    | <ul><li>'Make the shadows deeper'</li></ul>                        |
| 53    | <ul><li>'Increase the image sharpness'</li></ul>                   |
| 54    | <ul><li>'Left align the subtitle'</li></ul>                        |
| 55    | <ul><li>'Create a text container'</li></ul>                        |
| 56    | <ul><li>'Create text in a spiral pattern'</li></ul>                |
| 57    | <ul><li>'Convert to bullet point format'</li></ul>                 |
| 58    | <ul><li>'Add a colored shadow to the text'</li></ul>               |
| 59    | <ul><li>'Increase the warm color cast'</li></ul>                   |
| 60    | <ul><li>'I want to upload a new image'</li></ul>                   |
| 61    | <ul><li>'Revert the opacity change'</li></ul>                      |
| 62    | <ul><li>'Break apart the grouped elements'</li></ul>               |

## Evaluation

### Metrics
| Label   | Accuracy |
|:--------|:---------|
| **all** | 0.2985   |

## 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("setfit_model_id")
# Run inference
preds = model("Tighten the letter spacing")
```

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## Training Details

### Training Set Metrics
| Training set | Min | Median | Max |
|:-------------|:----|:-------|:----|
| Word count   | 3   | 5.2857 | 8   |

| Label | Training Sample Count |
|:------|:----------------------|
| 0     | 1                     |
| 1     | 1                     |
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| 62    | 1                     |

### Training Hyperparameters
- batch_size: (64, 64)
- num_epochs: (1, 1)
- max_steps: -1
- sampling_strategy: oversampling
- body_learning_rate: (2e-05, 1e-05)
- head_learning_rate: 0.01
- loss: CosineSimilarityLoss
- distance_metric: cosine_distance
- margin: 0.25
- end_to_end: False
- use_amp: False
- warmup_proportion: 0.1
- l2_weight: 0.01
- seed: 42
- eval_max_steps: -1
- load_best_model_at_end: False

### Training Results
| Epoch  | Step | Training Loss | Validation Loss |
|:------:|:----:|:-------------:|:---------------:|
| 0.0161 | 1    | 0.1282        | -               |
| 0.8065 | 50   | 0.0118        | -               |

### Framework Versions
- Python: 3.12.11
- SetFit: 1.1.3
- Sentence Transformers: 5.1.0
- Transformers: 4.54.1
- PyTorch: 2.7.1
- Datasets: 4.0.0
- Tokenizers: 0.21.4

## 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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