---
tags:
- setfit
- sentence-transformers
- text-classification
- generated_from_setfit_trainer
widget:
- text: Show me some texture backgrounds
- text: Add more space between paragraphs
- text: Position the text at the top
- text: Create an Instagram story for a birthday
- text: Create a photo of a mountain landscape
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: 0.6240179573512907
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
### 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 |
- 'Add a corporate presentation background'
- 'Insert a modern icon set for the design'
- 'Add a mountain landscape background to the page'
|
| 1 | - 'Show me some background options for my design'
- 'I need some icon suggestions for this layout'
- 'Find me some shape options for this design'
|
| 2 | - 'Add a social media handle'
- 'Insert a promotional message'
- "Add a heading that says 'Welcome'"
|
| 3 | - 'Align the footer elements'
- 'Align everything to the bottom'
- 'Center the logo and title'
|
| 4 | - 'Make the image slide from left'
- 'Make the image bounce in'
- 'Add a fade-in animation to the text'
|
| 5 | - 'Make the page rotate in'
- 'Add a zoom-out effect to the entire page'
- 'Make everything fade in gradually'
|
| 6 | - 'Change the color of the car to red'
- 'Remove the unwanted text overlay'
- 'Remove the sunglasses and add regular glasses'
|
| 7 | - 'Remove the unnecessary decoration'
- 'Remove the temporary shape'
- 'Delete the broken image'
|
| 8 | - 'How do I group elements together?'
- 'What text formatting options are there?'
- 'What are the available filter effects?'
|
| 9 | - 'Place the decorations around the title'
- 'Distribute the text around the focal point'
- 'Arrange the icons in a circle around the logo'
|
| 10 | - 'Make a copy for editing'
- 'Create a similar page'
- 'Make a backup of this page'
|
| 11 | - 'Copy the image and make it smaller'
- 'Duplicate the text and change the color'
- 'Duplicate the logo and flip it'
|
| 12 | - 'Copy the icon to the next slide'
- 'Duplicate the button to page 5'
- 'Copy the text to the last page'
|
| 13 | - 'Fix the typographic errors'
- 'Fix the letter spacing'
- 'Improve the paragraph spacing'
|
| 14 | - 'Mirror the logo vertically'
- 'Mirror the icon horizontally'
- 'Flip the image right to left'
|
| 15 | - 'Make an image of a cozy coffee shop'
- 'Make an image of a modern office space'
- 'Make an image of a magical forest'
|
| 16 | - 'Create a card for a birthday party'
- 'Create a dark-themed social media post for tech news'
- 'Generate an Instagram post for a birthday'
|
| 17 | - 'Group the navigation elements'
- 'Group the header elements'
- 'Group the decorative elements'
|
| 18 | - 'Move the element to the bottom left'
- 'Move the text to the middle'
- 'Position the logo in the corner'
|
| 19 | - 'Apply a cool blue filter'
- 'Add a dreamy effect'
- 'Apply a cinematic filter'
|
| 20 | - 'Find me some background images'
- 'Suggest some visual elements'
- 'Find me overlay effects'
|
| 21 | - 'Redo the filter effect'
- 'Bring back the deleted element'
- 'Bring back the deleted shape'
|
| 22 | - 'Make the object stand alone'
- 'Remove the background from the icon'
- 'Remove the background from the photo'
|
| 23 | - 'Remove the distracting element'
- 'Delete the watermark'
- 'Remove the old building'
|
| 24 | - 'Replace the image with a better one'
- 'Change the background to a different scene'
- 'Replace the overlay with a gradient'
|
| 25 | - 'Replace the menu items'
- 'Replace the title'
- 'Change the button text'
|
| 26 | - 'Restore the original brightness'
- 'Reset the image to its initial state'
- 'Restore the original colors'
|
| 27 | - 'Reduce the shape size'
- 'Increase the image size'
- 'Reduce the button size'
|
| 28 | - 'Make the page portrait orientation'
- 'Change to business card size'
- 'Make the page wider'
|
| 29 | - 'Rotate the element 60 degrees'
- 'Rotate the image clockwise'
- 'Turn the logo 270 degrees'
|
| 30 | - 'Scatter the flowers around the border'
- 'Distribute the shapes randomly'
- 'Scatter the stars around the title'
|
| 31 | - 'Select the main image'
- 'Choose the heading text'
- 'Select the logo element'
|
| 32 | - 'Make the background transparent'
- 'Change to a neutral background'
- 'Change to a light gray background'
|
| 33 | - 'Change the blend mode to exclusion'
- 'Set the blend mode to soft light'
- 'Set the blend mode to darken'
|
| 34 | - 'Add a depth of field blur'
- 'Blur the entire image'
- 'Add a motion blur effect'
|
| 35 | - 'Change the border width'
- 'Add a colored border'
- 'Add a gradient border'
|
| 36 | - 'Brighten the dark areas'
- 'Make the photo more illuminated'
- 'Make the image more brilliant'
|
| 37 | - 'Put the decoration behind'
- 'Move the icon to the top'
- 'Put the shape behind the text'
|
| 38 | - 'Make the image more striking'
- 'Enhance the contrast'
- 'Increase the visual clarity'
|
| 39 | - 'Make the image elliptical'
- 'Make the image circular'
- 'Make the image diamond-shaped'
|
| 40 | - 'Add a colored drop shadow'
- 'Create a realistic shadow'
- 'Create a soft drop shadow'
|
| 41 | - 'Fill the shape with orange'
- 'Change the color to teal'
- 'Fill the element with brown'
|
| 42 | - 'Make the subtitle larger'
- 'Make the description smaller'
- 'Make the label smaller'
|
| 43 | - 'Make the text italic only'
- 'Make the text emphasized'
- 'Make the text bold only'
|
| 44 | - 'Use a playful font'
- 'Use a professional font'
- 'Change to a modern sans-serif font'
|
| 45 | - 'Increase the highlight clarity'
- 'Increase the highlight intensity'
- 'Enhance the bright spots'
|
| 46 | - 'Make the photo cover the background'
- 'Set the picture as full background'
- 'Make the photo cover the entire page'
|
| 47 | - 'Spread out the letters in the heading'
- 'Make the letters closer together in the text'
- 'Tighten the letter spacing in the caption'
|
| 48 | - 'Add more line height'
- 'Make the text more readable'
- 'Reduce the line height'
|
| 49 | - 'Make the text more transparent'
- 'Reduce the opacity of the overlay'
- 'Make the element semi-transparent'
|
| 50 | - 'Make the sections closer'
- 'Make the paragraphs closer together'
- 'Reduce the paragraph spacing'
|
| 51 | - 'Make the colors more vivid'
- 'Increase the color intensity'
- 'Increase the color richness'
|
| 52 | - 'Darken the shadow regions'
- 'Darken the shadow tones'
- 'Enhance the shadow details'
|
| 53 | - 'Make the details more sharp'
- 'Increase the image resolution'
- 'Increase the detail sharpness'
|
| 54 | - 'Center the title text'
- 'Center the logo text'
- 'Justify the paragraph text'
|
| 55 | - 'Create a text container'
- 'Create a border around the text'
- 'Add a gradient background to the text'
|
| 56 | - 'Create curved text layout'
- 'Make the text flow in an arc'
- 'Make the text follow a path'
|
| 57 | - 'Make the text into bullet points'
- 'Make the text into a list with bullets'
- 'Create an organized list from the text'
|
| 58 | - 'Create a shadow behind the heading'
- 'Add a dramatic text shadow'
- 'Add a soft glow effect'
|
| 59 | - 'Increase the warm color cast'
- 'Make the image more yellow'
- 'Add warm undertones to the photo'
|
| 60 | - 'Open the image upload tool'
- 'Show me the file browser'
- 'Open the upload window'
|
| 61 | - 'Go back to the previous state'
- 'Undo the text edit'
- 'Revert the color change'
|
| 62 | - 'Ungroup the selected items'
- 'Break up the grouped objects'
- 'Ungroup the merged elements'
|
## Evaluation
### Metrics
| Label | Accuracy |
|:--------|:---------|
| **all** | 0.6240 |
## 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("Position the text at the top")
```
## Training Details
### Training Set Metrics
| Training set | Min | Median | Max |
|:-------------|:----|:-------|:----|
| Word count | 3 | 5.2243 | 12 |
| Label | Training Sample Count |
|:------|:----------------------|
| 0 | 15 |
| 1 | 15 |
| 2 | 15 |
| 3 | 15 |
| 4 | 15 |
| 5 | 15 |
| 6 | 15 |
| 7 | 15 |
| 8 | 15 |
| 9 | 15 |
| 10 | 15 |
| 11 | 15 |
| 12 | 15 |
| 13 | 15 |
| 14 | 15 |
| 15 | 15 |
| 16 | 15 |
| 17 | 15 |
| 18 | 15 |
| 19 | 15 |
| 20 | 15 |
| 21 | 15 |
| 22 | 15 |
| 23 | 15 |
| 24 | 15 |
| 25 | 15 |
| 26 | 15 |
| 27 | 15 |
| 28 | 15 |
| 29 | 15 |
| 30 | 15 |
| 31 | 15 |
| 32 | 15 |
| 33 | 15 |
| 34 | 15 |
| 35 | 15 |
| 36 | 15 |
| 37 | 15 |
| 38 | 15 |
| 39 | 15 |
| 40 | 15 |
| 41 | 15 |
| 42 | 15 |
| 43 | 15 |
| 44 | 15 |
| 45 | 15 |
| 46 | 15 |
| 47 | 15 |
| 48 | 15 |
| 49 | 15 |
| 50 | 15 |
| 51 | 15 |
| 52 | 15 |
| 53 | 15 |
| 54 | 15 |
| 55 | 15 |
| 56 | 15 |
| 57 | 15 |
| 58 | 15 |
| 59 | 15 |
| 60 | 15 |
| 61 | 15 |
| 62 | 15 |
### 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: True
- use_amp: False
- warmup_proportion: 0.1
- l2_weight: 0.1
- seed: 42
- eval_max_steps: -1
- load_best_model_at_end: False
### Training Results
| Epoch | Step | Training Loss | Validation Loss |
|:------:|:-----:|:-------------:|:---------------:|
| 0.0001 | 1 | 0.1774 | - |
| 0.0036 | 50 | 0.1629 | - |
| 0.0073 | 100 | 0.1464 | - |
| 0.0109 | 150 | 0.1147 | - |
| 0.0146 | 200 | 0.0798 | - |
| 0.0182 | 250 | 0.0552 | - |
| 0.0218 | 300 | 0.0391 | - |
| 0.0255 | 350 | 0.0271 | - |
| 0.0291 | 400 | 0.0272 | - |
| 0.0328 | 450 | 0.018 | - |
| 0.0364 | 500 | 0.015 | - |
| 0.0400 | 550 | 0.0136 | - |
| 0.0437 | 600 | 0.012 | - |
| 0.0473 | 650 | 0.0105 | - |
| 0.0510 | 700 | 0.0094 | - |
| 0.0546 | 750 | 0.0087 | - |
| 0.0583 | 800 | 0.0061 | - |
| 0.0619 | 850 | 0.0078 | - |
| 0.0655 | 900 | 0.0068 | - |
| 0.0692 | 950 | 0.0066 | - |
| 0.0728 | 1000 | 0.0053 | - |
| 0.0765 | 1050 | 0.0057 | - |
| 0.0801 | 1100 | 0.0065 | - |
| 0.0837 | 1150 | 0.0054 | - |
| 0.0874 | 1200 | 0.0058 | - |
| 0.0910 | 1250 | 0.006 | - |
| 0.0947 | 1300 | 0.0048 | - |
| 0.0983 | 1350 | 0.0038 | - |
| 0.1019 | 1400 | 0.0034 | - |
| 0.1056 | 1450 | 0.0037 | - |
| 0.1092 | 1500 | 0.006 | - |
| 0.1129 | 1550 | 0.0047 | - |
| 0.1165 | 1600 | 0.0042 | - |
| 0.1201 | 1650 | 0.0038 | - |
| 0.1238 | 1700 | 0.0036 | - |
| 0.1274 | 1750 | 0.0049 | - |
| 0.1311 | 1800 | 0.0019 | - |
| 0.1347 | 1850 | 0.003 | - |
| 0.1384 | 1900 | 0.003 | - |
| 0.1420 | 1950 | 0.0024 | - |
| 0.1456 | 2000 | 0.0023 | - |
| 0.1493 | 2050 | 0.002 | - |
| 0.1529 | 2100 | 0.0033 | - |
| 0.1566 | 2150 | 0.0032 | - |
| 0.1602 | 2200 | 0.0048 | - |
| 0.1638 | 2250 | 0.004 | - |
| 0.1675 | 2300 | 0.0032 | - |
| 0.1711 | 2350 | 0.0033 | - |
| 0.1748 | 2400 | 0.0036 | - |
| 0.1784 | 2450 | 0.0031 | - |
| 0.1820 | 2500 | 0.0024 | - |
| 0.1857 | 2550 | 0.0016 | - |
| 0.1893 | 2600 | 0.0024 | - |
| 0.1930 | 2650 | 0.0034 | - |
| 0.1966 | 2700 | 0.0022 | - |
| 0.2002 | 2750 | 0.0021 | - |
| 0.2039 | 2800 | 0.0022 | - |
| 0.2075 | 2850 | 0.0012 | - |
| 0.2112 | 2900 | 0.0022 | - |
| 0.2148 | 2950 | 0.001 | - |
| 0.2185 | 3000 | 0.0007 | - |
| 0.2221 | 3050 | 0.0011 | - |
| 0.2257 | 3100 | 0.0008 | - |
| 0.2294 | 3150 | 0.0008 | - |
| 0.2330 | 3200 | 0.0016 | - |
| 0.2367 | 3250 | 0.0026 | - |
| 0.2403 | 3300 | 0.0018 | - |
| 0.2439 | 3350 | 0.0021 | - |
| 0.2476 | 3400 | 0.001 | - |
| 0.2512 | 3450 | 0.002 | - |
| 0.2549 | 3500 | 0.0017 | - |
| 0.2585 | 3550 | 0.0011 | - |
| 0.2621 | 3600 | 0.0007 | - |
| 0.2658 | 3650 | 0.0019 | - |
| 0.2694 | 3700 | 0.0023 | - |
| 0.2731 | 3750 | 0.0022 | - |
| 0.2767 | 3800 | 0.0015 | - |
| 0.2803 | 3850 | 0.0016 | - |
| 0.2840 | 3900 | 0.0017 | - |
| 0.2876 | 3950 | 0.0041 | - |
| 0.2913 | 4000 | 0.0028 | - |
| 0.2949 | 4050 | 0.0032 | - |
| 0.2986 | 4100 | 0.004 | - |
| 0.3022 | 4150 | 0.0025 | - |
| 0.3058 | 4200 | 0.0026 | - |
| 0.3095 | 4250 | 0.0024 | - |
| 0.3131 | 4300 | 0.0015 | - |
| 0.3168 | 4350 | 0.0013 | - |
| 0.3204 | 4400 | 0.0026 | - |
| 0.3240 | 4450 | 0.0017 | - |
| 0.3277 | 4500 | 0.0015 | - |
| 0.3313 | 4550 | 0.0013 | - |
| 0.3350 | 4600 | 0.0012 | - |
| 0.3386 | 4650 | 0.0009 | - |
| 0.3422 | 4700 | 0.0008 | - |
| 0.3459 | 4750 | 0.0009 | - |
| 0.3495 | 4800 | 0.0005 | - |
| 0.3532 | 4850 | 0.0005 | - |
| 0.3568 | 4900 | 0.001 | - |
| 0.3604 | 4950 | 0.0005 | - |
| 0.3641 | 5000 | 0.0003 | - |
| 0.3677 | 5050 | 0.0011 | - |
| 0.3714 | 5100 | 0.0006 | - |
| 0.3750 | 5150 | 0.0007 | - |
| 0.3786 | 5200 | 0.0006 | - |
| 0.3823 | 5250 | 0.0007 | - |
| 0.3859 | 5300 | 0.0005 | - |
| 0.3896 | 5350 | 0.001 | - |
| 0.3932 | 5400 | 0.0006 | - |
| 0.3969 | 5450 | 0.0011 | - |
| 0.4005 | 5500 | 0.0009 | - |
| 0.4041 | 5550 | 0.001 | - |
| 0.4078 | 5600 | 0.001 | - |
| 0.4114 | 5650 | 0.0011 | - |
| 0.4151 | 5700 | 0.0007 | - |
| 0.4187 | 5750 | 0.0008 | - |
| 0.4223 | 5800 | 0.0009 | - |
| 0.4260 | 5850 | 0.0004 | - |
| 0.4296 | 5900 | 0.0007 | - |
| 0.4333 | 5950 | 0.0005 | - |
| 0.4369 | 6000 | 0.0011 | - |
| 0.4405 | 6050 | 0.0007 | - |
| 0.4442 | 6100 | 0.0007 | - |
| 0.4478 | 6150 | 0.0003 | - |
| 0.4515 | 6200 | 0.0004 | - |
| 0.4551 | 6250 | 0.0006 | - |
| 0.4587 | 6300 | 0.0003 | - |
| 0.4624 | 6350 | 0.001 | - |
| 0.4660 | 6400 | 0.0006 | - |
| 0.4697 | 6450 | 0.0009 | - |
| 0.4733 | 6500 | 0.0008 | - |
| 0.4770 | 6550 | 0.0009 | - |
| 0.4806 | 6600 | 0.0005 | - |
| 0.4842 | 6650 | 0.0009 | - |
| 0.4879 | 6700 | 0.0009 | - |
| 0.4915 | 6750 | 0.0012 | - |
| 0.4952 | 6800 | 0.0004 | - |
| 0.4988 | 6850 | 0.0005 | - |
| 0.5024 | 6900 | 0.0009 | - |
| 0.5061 | 6950 | 0.0014 | - |
| 0.5097 | 7000 | 0.0005 | - |
| 0.5134 | 7050 | 0.0007 | - |
| 0.5170 | 7100 | 0.0009 | - |
| 0.5206 | 7150 | 0.0011 | - |
| 0.5243 | 7200 | 0.001 | - |
| 0.5279 | 7250 | 0.0021 | - |
| 0.5316 | 7300 | 0.0015 | - |
| 0.5352 | 7350 | 0.001 | - |
| 0.5388 | 7400 | 0.001 | - |
| 0.5425 | 7450 | 0.0018 | - |
| 0.5461 | 7500 | 0.0009 | - |
| 0.5498 | 7550 | 0.0008 | - |
| 0.5534 | 7600 | 0.0004 | - |
| 0.5571 | 7650 | 0.0007 | - |
| 0.5607 | 7700 | 0.0009 | - |
| 0.5643 | 7750 | 0.0011 | - |
| 0.5680 | 7800 | 0.0006 | - |
| 0.5716 | 7850 | 0.0016 | - |
| 0.5753 | 7900 | 0.0016 | - |
| 0.5789 | 7950 | 0.0009 | - |
| 0.5825 | 8000 | 0.0017 | - |
| 0.5862 | 8050 | 0.0017 | - |
| 0.5898 | 8100 | 0.001 | - |
| 0.5935 | 8150 | 0.001 | - |
| 0.5971 | 8200 | 0.0005 | - |
| 0.6007 | 8250 | 0.0008 | - |
| 0.6044 | 8300 | 0.0003 | - |
| 0.6080 | 8350 | 0.0005 | - |
| 0.6117 | 8400 | 0.0006 | - |
| 0.6153 | 8450 | 0.0006 | - |
| 0.6189 | 8500 | 0.0007 | - |
| 0.6226 | 8550 | 0.0006 | - |
| 0.6262 | 8600 | 0.0007 | - |
| 0.6299 | 8650 | 0.0008 | - |
| 0.6335 | 8700 | 0.0005 | - |
| 0.6372 | 8750 | 0.001 | - |
| 0.6408 | 8800 | 0.0011 | - |
| 0.6444 | 8850 | 0.0008 | - |
| 0.6481 | 8900 | 0.0008 | - |
| 0.6517 | 8950 | 0.0007 | - |
| 0.6554 | 9000 | 0.0006 | - |
| 0.6590 | 9050 | 0.0008 | - |
| 0.6626 | 9100 | 0.0004 | - |
| 0.6663 | 9150 | 0.0007 | - |
| 0.6699 | 9200 | 0.0007 | - |
| 0.6736 | 9250 | 0.0002 | - |
| 0.6772 | 9300 | 0.0007 | - |
| 0.6808 | 9350 | 0.0007 | - |
| 0.6845 | 9400 | 0.0006 | - |
| 0.6881 | 9450 | 0.0007 | - |
| 0.6918 | 9500 | 0.0009 | - |
| 0.6954 | 9550 | 0.0007 | - |
| 0.6990 | 9600 | 0.0006 | - |
| 0.7027 | 9650 | 0.0009 | - |
| 0.7063 | 9700 | 0.0005 | - |
| 0.7100 | 9750 | 0.0006 | - |
| 0.7136 | 9800 | 0.001 | - |
| 0.7173 | 9850 | 0.0004 | - |
| 0.7209 | 9900 | 0.0006 | - |
| 0.7245 | 9950 | 0.0006 | - |
| 0.7282 | 10000 | 0.0003 | - |
| 0.7318 | 10050 | 0.0009 | - |
| 0.7355 | 10100 | 0.0006 | - |
| 0.7391 | 10150 | 0.0011 | - |
| 0.7427 | 10200 | 0.0008 | - |
| 0.7464 | 10250 | 0.0006 | - |
| 0.7500 | 10300 | 0.0008 | - |
| 0.7537 | 10350 | 0.0006 | - |
| 0.7573 | 10400 | 0.0005 | - |
| 0.7609 | 10450 | 0.0008 | - |
| 0.7646 | 10500 | 0.0007 | - |
| 0.7682 | 10550 | 0.0005 | - |
| 0.7719 | 10600 | 0.0007 | - |
| 0.7755 | 10650 | 0.0011 | - |
| 0.7791 | 10700 | 0.0011 | - |
| 0.7828 | 10750 | 0.0008 | - |
| 0.7864 | 10800 | 0.0003 | - |
| 0.7901 | 10850 | 0.0006 | - |
| 0.7937 | 10900 | 0.0009 | - |
| 0.7973 | 10950 | 0.0006 | - |
| 0.8010 | 11000 | 0.0008 | - |
| 0.8046 | 11050 | 0.0005 | - |
| 0.8083 | 11100 | 0.0014 | - |
| 0.8119 | 11150 | 0.0007 | - |
| 0.8156 | 11200 | 0.0004 | - |
| 0.8192 | 11250 | 0.001 | - |
| 0.8228 | 11300 | 0.0005 | - |
| 0.8265 | 11350 | 0.0003 | - |
| 0.8301 | 11400 | 0.0005 | - |
| 0.8338 | 11450 | 0.0003 | - |
| 0.8374 | 11500 | 0.0004 | - |
| 0.8410 | 11550 | 0.0006 | - |
| 0.8447 | 11600 | 0.0006 | - |
| 0.8483 | 11650 | 0.0006 | - |
| 0.8520 | 11700 | 0.0005 | - |
| 0.8556 | 11750 | 0.0008 | - |
| 0.8592 | 11800 | 0.0009 | - |
| 0.8629 | 11850 | 0.0007 | - |
| 0.8665 | 11900 | 0.0012 | - |
| 0.8702 | 11950 | 0.0003 | - |
| 0.8738 | 12000 | 0.0006 | - |
| 0.8774 | 12050 | 0.0007 | - |
| 0.8811 | 12100 | 0.0008 | - |
| 0.8847 | 12150 | 0.0003 | - |
| 0.8884 | 12200 | 0.0006 | - |
| 0.8920 | 12250 | 0.0006 | - |
| 0.8957 | 12300 | 0.0004 | - |
| 0.8993 | 12350 | 0.0005 | - |
| 0.9029 | 12400 | 0.0005 | - |
| 0.9066 | 12450 | 0.0006 | - |
| 0.9102 | 12500 | 0.0004 | - |
| 0.9139 | 12550 | 0.0005 | - |
| 0.9175 | 12600 | 0.0003 | - |
| 0.9211 | 12650 | 0.0004 | - |
| 0.9248 | 12700 | 0.0005 | - |
| 0.9284 | 12750 | 0.0006 | - |
| 0.9321 | 12800 | 0.0004 | - |
| 0.9357 | 12850 | 0.0005 | - |
| 0.9393 | 12900 | 0.0005 | - |
| 0.9430 | 12950 | 0.0011 | - |
| 0.9466 | 13000 | 0.0004 | - |
| 0.9503 | 13050 | 0.0007 | - |
| 0.9539 | 13100 | 0.0005 | - |
| 0.9575 | 13150 | 0.0006 | - |
| 0.9612 | 13200 | 0.0005 | - |
| 0.9648 | 13250 | 0.0007 | - |
| 0.9685 | 13300 | 0.0007 | - |
| 0.9721 | 13350 | 0.0004 | - |
| 0.9758 | 13400 | 0.0005 | - |
| 0.9794 | 13450 | 0.0005 | - |
| 0.9830 | 13500 | 0.0004 | - |
| 0.9867 | 13550 | 0.0006 | - |
| 0.9903 | 13600 | 0.0004 | - |
| 0.9940 | 13650 | 0.0007 | - |
| 0.9976 | 13700 | 0.0007 | - |
### 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}
}
```