setfit safetensors mpnet sentence-transformers text-classification generated_from_setfit_trainer arxiv:2209.11055 base_model:sentence-transformers/paraphrase-mpnet-base-v2 base_model:finetune:sentence-transformers/paraphrase-mpnet-base-v2 model-index region:us
---
base_model: sentence-transformers/paraphrase-mpnet-base-v2
library_name: setfit
metrics:
- accuracy
pipeline_tag: text-classification
tags:
- setfit
- sentence-transformers
- text-classification
- generated_from_setfit_trainer
widget:
- text: Intel Pentium 3556U (Mobile) 1.70 GHz
- text: Sign in
- text: Discover the mountains
- text: "\n                    Other services\n                "
- text: Iceland
inference: true
model-index:
- name: SetFit with sentence-transformers/paraphrase-mpnet-base-v2
  results:
  - task:
      type: text-classification
      name: Text Classification
    dataset:
      name: Unknown
      type: unknown
      split: test
    metrics:
    - type: accuracy
      value: 0.9034931912374186
      name: Accuracy
---

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

This is a [SetFit](https://github.com/huggingface/setfit) model that can be used for Text Classification. This SetFit model uses [sentence-transformers/paraphrase-mpnet-base-v2](https://huggingface.co/sentence-transformers/paraphrase-mpnet-base-v2) 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:** [sentence-transformers/paraphrase-mpnet-base-v2](https://huggingface.co/sentence-transformers/paraphrase-mpnet-base-v2)
- **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                                                                                                |
|:------|:--------------------------------------------------------------------------------------------------------|
| True  | <ul><li>'Pug (1×1)'</li><li>'Pug (1×1)'</li><li>'/ 0:31'</li></ul>                                      |
| False | <ul><li>'Forum FAQ'</li><li>'Hearthstone'</li><li>'NVIDIA GeForce GTX 670MX (Mobile) 3072 MB'</li></ul> |

## Evaluation

### Metrics
| Label   | Accuracy |
|:--------|:---------|
| **all** | 0.9035   |

## 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("Sign in")
```

<!--
### Downstream Use

*List how someone could finetune this model on their own dataset.*
-->

<!--
### Out-of-Scope Use

*List how the model may foreseeably be misused and address what users ought not to do with the model.*
-->

<!--
## Bias, Risks and Limitations

*What are the known or foreseeable issues stemming from this model? You could also flag here known failure cases or weaknesses of the model.*
-->

<!--
### Recommendations

*What are recommendations with respect to the foreseeable issues? For example, filtering explicit content.*
-->

## Training Details

### Training Set Metrics
| Training set | Min | Median | Max |
|:-------------|:----|:-------|:----|
| Word count   | 1   | 5.4853 | 301 |

| Label | Training Sample Count |
|:------|:----------------------|
| False | 6755                  |
| True  | 6757                  |

### 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 |
|:------:|:-----:|:-------------:|:---------------:|
| 0.0000 | 1     | 0.3555        | -               |
| 0.0015 | 50    | 0.3874        | -               |
| 0.0030 | 100   | 0.3422        | -               |
| 0.0044 | 150   | 0.3148        | -               |
| 0.0059 | 200   | 0.2496        | -               |
| 0.0074 | 250   | 0.2681        | -               |
| 0.0089 | 300   | 0.2412        | -               |
| 0.0104 | 350   | 0.2927        | -               |
| 0.0118 | 400   | 0.2389        | -               |
| 0.0133 | 450   | 0.2559        | -               |
| 0.0148 | 500   | 0.204         | -               |
| 0.0163 | 550   | 0.158         | -               |
| 0.0178 | 600   | 0.1479        | -               |
| 0.0192 | 650   | 0.1958        | -               |
| 0.0207 | 700   | 0.2173        | -               |
| 0.0222 | 750   | 0.1231        | -               |
| 0.0237 | 800   | 0.1966        | -               |
| 0.0252 | 850   | 0.1599        | -               |
| 0.0266 | 900   | 0.1373        | -               |
| 0.0281 | 950   | 0.2491        | -               |
| 0.0296 | 1000  | 0.0951        | -               |
| 0.0311 | 1050  | 0.2253        | -               |
| 0.0326 | 1100  | 0.2046        | -               |
| 0.0340 | 1150  | 0.2174        | -               |
| 0.0355 | 1200  | 0.1401        | -               |
| 0.0370 | 1250  | 0.1549        | -               |
| 0.0385 | 1300  | 0.1872        | -               |
| 0.0400 | 1350  | 0.2262        | -               |
| 0.0414 | 1400  | 0.1277        | -               |
| 0.0429 | 1450  | 0.1653        | -               |
| 0.0444 | 1500  | 0.1355        | -               |
| 0.0459 | 1550  | 0.1235        | -               |
| 0.0474 | 1600  | 0.0947        | -               |
| 0.0488 | 1650  | 0.11          | -               |
| 0.0503 | 1700  | 0.1149        | -               |
| 0.0518 | 1750  | 0.1823        | -               |
| 0.0533 | 1800  | 0.2104        | -               |
| 0.0548 | 1850  | 0.0871        | -               |
| 0.0562 | 1900  | 0.1275        | -               |
| 0.0577 | 1950  | 0.0977        | -               |
| 0.0592 | 2000  | 0.2031        | -               |
| 0.0607 | 2050  | 0.1872        | -               |
| 0.0622 | 2100  | 0.0996        | -               |
| 0.0636 | 2150  | 0.1487        | -               |
| 0.0651 | 2200  | 0.1647        | -               |
| 0.0666 | 2250  | 0.0861        | -               |
| 0.0681 | 2300  | 0.0464        | -               |
| 0.0696 | 2350  | 0.1026        | -               |
| 0.0710 | 2400  | 0.2031        | -               |
| 0.0725 | 2450  | 0.1815        | -               |
| 0.0740 | 2500  | 0.0644        | -               |
| 0.0755 | 2550  | 0.1039        | -               |
| 0.0770 | 2600  | 0.0115        | -               |
| 0.0784 | 2650  | 0.0426        | -               |
| 0.0799 | 2700  | 0.0895        | -               |
| 0.0814 | 2750  | 0.1562        | -               |
| 0.0829 | 2800  | 0.0835        | -               |
| 0.0844 | 2850  | 0.1681        | -               |
| 0.0858 | 2900  | 0.1159        | -               |
| 0.0873 | 2950  | 0.0162        | -               |
| 0.0888 | 3000  | 0.0634        | -               |
| 0.0903 | 3050  | 0.1161        | -               |
| 0.0918 | 3100  | 0.1086        | -               |
| 0.0933 | 3150  | 0.0548        | -               |
| 0.0947 | 3200  | 0.1209        | -               |
| 0.0962 | 3250  | 0.0425        | -               |
| 0.0977 | 3300  | 0.0157        | -               |
| 0.0992 | 3350  | 0.1293        | -               |
| 0.1007 | 3400  | 0.1847        | -               |
| 0.1021 | 3450  | 0.1965        | -               |
| 0.1036 | 3500  | 0.1286        | -               |
| 0.1051 | 3550  | 0.104         | -               |
| 0.1066 | 3600  | 0.0899        | -               |
| 0.1081 | 3650  | 0.1513        | -               |
| 0.1095 | 3700  | 0.0443        | -               |
| 0.1110 | 3750  | 0.053         | -               |
| 0.1125 | 3800  | 0.0096        | -               |
| 0.1140 | 3850  | 0.0399        | -               |
| 0.1155 | 3900  | 0.068         | -               |
| 0.1169 | 3950  | 0.0537        | -               |
| 0.1184 | 4000  | 0.0235        | -               |
| 0.1199 | 4050  | 0.0625        | -               |
| 0.1214 | 4100  | 0.1303        | -               |
| 0.1229 | 4150  | 0.1208        | -               |
| 0.1243 | 4200  | 0.0041        | -               |
| 0.1258 | 4250  | 0.059         | -               |
| 0.1273 | 4300  | 0.0543        | -               |
| 0.1288 | 4350  | 0.1664        | -               |
| 0.1303 | 4400  | 0.0591        | -               |
| 0.1317 | 4450  | 0.0631        | -               |
| 0.1332 | 4500  | 0.2538        | -               |
| 0.1347 | 4550  | 0.0484        | -               |
| 0.1362 | 4600  | 0.003         | -               |
| 0.1377 | 4650  | 0.0849        | -               |
| 0.1391 | 4700  | 0.1109        | -               |
| 0.1406 | 4750  | 0.0403        | -               |
| 0.1421 | 4800  | 0.0481        | -               |
| 0.1436 | 4850  | 0.0172        | -               |
| 0.1451 | 4900  | 0.0049        | -               |
| 0.1465 | 4950  | 0.006         | -               |
| 0.1480 | 5000  | 0.0009        | -               |
| 0.1495 | 5050  | 0.0712        | -               |
| 0.1510 | 5100  | 0.1076        | -               |
| 0.1525 | 5150  | 0.1123        | -               |
| 0.1539 | 5200  | 0.0029        | -               |
| 0.1554 | 5250  | 0.0519        | -               |
| 0.1569 | 5300  | 0.0523        | -               |
| 0.1584 | 5350  | 0.097         | -               |
| 0.1599 | 5400  | 0.0471        | -               |
| 0.1613 | 5450  | 0.0371        | -               |
| 0.1628 | 5500  | 0.1127        | -               |
| 0.1643 | 5550  | 0.0535        | -               |
| 0.1658 | 5600  | 0.0067        | -               |
| 0.1673 | 5650  | 0.01          | -               |
| 0.1687 | 5700  | 0.0085        | -               |
| 0.1702 | 5750  | 0.0739        | -               |
| 0.1717 | 5800  | 0.0019        | -               |
| 0.1732 | 5850  | 0.0045        | -               |
| 0.1747 | 5900  | 0.1316        | -               |
| 0.1761 | 5950  | 0.0623        | -               |
| 0.1776 | 6000  | 0.088         | -               |
| 0.1791 | 6050  | 0.0498        | -               |
| 0.1806 | 6100  | 0.0028        | -               |
| 0.1821 | 6150  | 0.1206        | -               |
| 0.1835 | 6200  | 0.0041        | -               |
| 0.1850 | 6250  | 0.0849        | -               |
| 0.1865 | 6300  | 0.247         | -               |
| 0.1880 | 6350  | 0.0042        | -               |
| 0.1895 | 6400  | 0.0944        | -               |
| 0.1909 | 6450  | 0.1046        | -               |
| 0.1924 | 6500  | 0.0481        | -               |
| 0.1939 | 6550  | 0.0034        | -               |
| 0.1954 | 6600  | 0.0066        | -               |
| 0.1969 | 6650  | 0.0015        | -               |
| 0.1983 | 6700  | 0.0816        | -               |
| 0.1998 | 6750  | 0.0511        | -               |
| 0.2013 | 6800  | 0.0739        | -               |
| 0.2028 | 6850  | 0.0024        | -               |
| 0.2043 | 6900  | 0.0221        | -               |
| 0.2057 | 6950  | 0.0678        | -               |
| 0.2072 | 7000  | 0.0838        | -               |
| 0.2087 | 7050  | 0.0023        | -               |
| 0.2102 | 7100  | 0.0043        | -               |
| 0.2117 | 7150  | 0.0551        | -               |
| 0.2131 | 7200  | 0.0167        | -               |
| 0.2146 | 7250  | 0.0033        | -               |
| 0.2161 | 7300  | 0.008         | -               |
| 0.2176 | 7350  | 0.0259        | -               |
| 0.2191 | 7400  | 0.0078        | -               |
| 0.2205 | 7450  | 0.0113        | -               |
| 0.2220 | 7500  | 0.0153        | -               |
| 0.2235 | 7550  | 0.059         | -               |
| 0.2250 | 7600  | 0.0401        | -               |
| 0.2265 | 7650  | 0.0015        | -               |
| 0.2279 | 7700  | 0.0102        | -               |
| 0.2294 | 7750  | 0.0489        | -               |
| 0.2309 | 7800  | 0.1319        | -               |
| 0.2324 | 7850  | 0.0128        | -               |
| 0.2339 | 7900  | 0.0234        | -               |
| 0.2353 | 7950  | 0.0105        | -               |
| 0.2368 | 8000  | 0.0008        | -               |
| 0.2383 | 8050  | 0.1118        | -               |
| 0.2398 | 8100  | 0.0076        | -               |
| 0.2413 | 8150  | 0.1399        | -               |
| 0.2427 | 8200  | 0.0042        | -               |
| 0.2442 | 8250  | 0.0579        | -               |
| 0.2457 | 8300  | 0.0533        | -               |
| 0.2472 | 8350  | 0.0271        | -               |
| 0.2487 | 8400  | 0.0461        | -               |
| 0.2501 | 8450  | 0.0052        | -               |
| 0.2516 | 8500  | 0.0661        | -               |
| 0.2531 | 8550  | 0.0407        | -               |
| 0.2546 | 8600  | 0.0208        | -               |
| 0.2561 | 8650  | 0.0527        | -               |
| 0.2575 | 8700  | 0.0065        | -               |
| 0.2590 | 8750  | 0.0051        | -               |
| 0.2605 | 8800  | 0.0179        | -               |
| 0.2620 | 8850  | 0.0332        | -               |
| 0.2635 | 8900  | 0.0625        | -               |
| 0.2649 | 8950  | 0.1035        | -               |
| 0.2664 | 9000  | 0.129         | -               |
| 0.2679 | 9050  | 0.0988        | -               |
| 0.2694 | 9100  | 0.0035        | -               |
| 0.2709 | 9150  | 0.0045        | -               |
| 0.2724 | 9200  | 0.0277        | -               |
| 0.2738 | 9250  | 0.0291        | -               |
| 0.2753 | 9300  | 0.0307        | -               |
| 0.2768 | 9350  | 0.0844        | -               |
| 0.2783 | 9400  | 0.0036        | -               |
| 0.2798 | 9450  | 0.0807        | -               |
| 0.2812 | 9500  | 0.0619        | -               |
| 0.2827 | 9550  | 0.0675        | -               |
| 0.2842 | 9600  | 0.0008        | -               |
| 0.2857 | 9650  | 0.0134        | -               |
| 0.2872 | 9700  | 0.0027        | -               |
| 0.2886 | 9750  | 0.0009        | -               |
| 0.2901 | 9800  | 0.0119        | -               |
| 0.2916 | 9850  | 0.0165        | -               |
| 0.2931 | 9900  | 0.0242        | -               |
| 0.2946 | 9950  | 0.1022        | -               |
| 0.2960 | 10000 | 0.0288        | -               |
| 0.2975 | 10050 | 0.0016        | -               |
| 0.2990 | 10100 | 0.0027        | -               |
| 0.3005 | 10150 | 0.0237        | -               |
| 0.3020 | 10200 | 0.0014        | -               |
| 0.3034 | 10250 | 0.0129        | -               |
| 0.3049 | 10300 | 0.0023        | -               |
| 0.3064 | 10350 | 0.0038        | -               |
| 0.3079 | 10400 | 0.0005        | -               |
| 0.3094 | 10450 | 0.0448        | -               |
| 0.3108 | 10500 | 0.0334        | -               |
| 0.3123 | 10550 | 0.1215        | -               |
| 0.3138 | 10600 | 0.0021        | -               |
| 0.3153 | 10650 | 0.0433        | -               |
| 0.3168 | 10700 | 0.0106        | -               |
| 0.3182 | 10750 | 0.0574        | -               |
| 0.3197 | 10800 | 0.0421        | -               |
| 0.3212 | 10850 | 0.0676        | -               |
| 0.3227 | 10900 | 0.0358        | -               |
| 0.3242 | 10950 | 0.1207        | -               |
| 0.3256 | 11000 | 0.0154        | -               |
| 0.3271 | 11050 | 0.0078        | -               |
| 0.3286 | 11100 | 0.0475        | -               |
| 0.3301 | 11150 | 0.0697        | -               |
| 0.3316 | 11200 | 0.0016        | -               |
| 0.3330 | 11250 | 0.012         | -               |
| 0.3345 | 11300 | 0.0252        | -               |
| 0.3360 | 11350 | 0.003         | -               |
| 0.3375 | 11400 | 0.0323        | -               |
| 0.3390 | 11450 | 0.0782        | -               |
| 0.3404 | 11500 | 0.0661        | -               |
| 0.3419 | 11550 | 0.0473        | -               |
| 0.3434 | 11600 | 0.1388        | -               |
| 0.3449 | 11650 | 0.0092        | -               |
| 0.3464 | 11700 | 0.0055        | -               |
| 0.3478 | 11750 | 0.0636        | -               |
| 0.3493 | 11800 | 0.0301        | -               |
| 0.3508 | 11850 | 0.02          | -               |
| 0.3523 | 11900 | 0.091         | -               |
| 0.3538 | 11950 | 0.0645        | -               |
| 0.3552 | 12000 | 0.0131        | -               |
| 0.3567 | 12050 | 0.0302        | -               |
| 0.3582 | 12100 | 0.0434        | -               |
| 0.3597 | 12150 | 0.0007        | -               |
| 0.3612 | 12200 | 0.0195        | -               |
| 0.3626 | 12250 | 0.0779        | -               |
| 0.3641 | 12300 | 0.0794        | -               |
| 0.3656 | 12350 | 0.0586        | -               |
| 0.3671 | 12400 | 0.0966        | -               |
| 0.3686 | 12450 | 0.0289        | -               |
| 0.3700 | 12500 | 0.0014        | -               |
| 0.3715 | 12550 | 0.0008        | -               |
| 0.3730 | 12600 | 0.0174        | -               |
| 0.3745 | 12650 | 0.0151        | -               |
| 0.3760 | 12700 | 0.0223        | -               |
| 0.3774 | 12750 | 0.0034        | -               |
| 0.3789 | 12800 | 0.0621        | -               |
| 0.3804 | 12850 | 0.0585        | -               |
| 0.3819 | 12900 | 0.1385        | -               |
| 0.3834 | 12950 | 0.1086        | -               |
| 0.3848 | 13000 | 0.0005        | -               |
| 0.3863 | 13050 | 0.0178        | -               |
| 0.3878 | 13100 | 0.1447        | -               |
| 0.3893 | 13150 | 0.1267        | -               |
| 0.3908 | 13200 | 0.0823        | -               |
| 0.3922 | 13250 | 0.0223        | -               |
| 0.3937 | 13300 | 0.0029        | -               |
| 0.3952 | 13350 | 0.0273        | -               |
| 0.3967 | 13400 | 0.0807        | -               |
| 0.3982 | 13450 | 0.0042        | -               |
| 0.3996 | 13500 | 0.0023        | -               |
| 0.4011 | 13550 | 0.0528        | -               |
| 0.4026 | 13600 | 0.0013        | -               |
| 0.4041 | 13650 | 0.0413        | -               |
| 0.4056 | 13700 | 0.1404        | -               |
| 0.4070 | 13750 | 0.1508        | -               |
| 0.4085 | 13800 | 0.0214        | -               |
| 0.4100 | 13850 | 0.0737        | -               |
| 0.4115 | 13900 | 0.0962        | -               |
| 0.4130 | 13950 | 0.0536        | -               |
| 0.4144 | 14000 | 0.0075        | -               |
| 0.4159 | 14050 | 0.0401        | -               |
| 0.4174 | 14100 | 0.0268        | -               |
| 0.4189 | 14150 | 0.0104        | -               |
| 0.4204 | 14200 | 0.0066        | -               |
| 0.4218 | 14250 | 0.006         | -               |
| 0.4233 | 14300 | 0.0053        | -               |
| 0.4248 | 14350 | 0.0367        | -               |
| 0.4263 | 14400 | 0.0041        | -               |
| 0.4278 | 14450 | 0.0245        | -               |
| 0.4292 | 14500 | 0.0351        | -               |
| 0.4307 | 14550 | 0.0794        | -               |
| 0.4322 | 14600 | 0.0771        | -               |
| 0.4337 | 14650 | 0.0172        | -               |
| 0.4352 | 14700 | 0.0137        | -               |
| 0.4366 | 14750 | 0.044         | -               |
| 0.4381 | 14800 | 0.0042        | -               |
| 0.4396 | 14850 | 0.0554        | -               |
| 0.4411 | 14900 | 0.0794        | -               |
| 0.4426 | 14950 | 0.0404        | -               |
| 0.4440 | 15000 | 0.0461        | -               |
| 0.4455 | 15050 | 0.0176        | -               |
| 0.4470 | 15100 | 0.0973        | -               |
| 0.4485 | 15150 | 0.0034        | -               |
| 0.4500 | 15200 | 0.0056        | -               |
| 0.4515 | 15250 | 0.039         | -               |
| 0.4529 | 15300 | 0.0136        | -               |
| 0.4544 | 15350 | 0.0292        | -               |
| 0.4559 | 15400 | 0.0023        | -               |
| 0.4574 | 15450 | 0.0709        | -               |
| 0.4589 | 15500 | 0.1226        | -               |
| 0.4603 | 15550 | 0.0847        | -               |
| 0.4618 | 15600 | 0.1088        | -               |
| 0.4633 | 15650 | 0.0605        | -               |
| 0.4648 | 15700 | 0.0151        | -               |
| 0.4663 | 15750 | 0.0475        | -               |
| 0.4677 | 15800 | 0.0173        | -               |
| 0.4692 | 15850 | 0.0085        | -               |
| 0.4707 | 15900 | 0.0491        | -               |
| 0.4722 | 15950 | 0.0349        | -               |
| 0.4737 | 16000 | 0.0571        | -               |
| 0.4751 | 16050 | 0.0867        | -               |
| 0.4766 | 16100 | 0.0138        | -               |
| 0.4781 | 16150 | 0.015         | -               |
| 0.4796 | 16200 | 0.0556        | -               |
| 0.4811 | 16250 | 0.0149        | -               |
| 0.4825 | 16300 | 0.0598        | -               |
| 0.4840 | 16350 | 0.0032        | -               |
| 0.4855 | 16400 | 0.0006        | -               |
| 0.4870 | 16450 | 0.0479        | -               |
| 0.4885 | 16500 | 0.0491        | -               |
| 0.4899 | 16550 | 0.1069        | -               |
| 0.4914 | 16600 | 0.0164        | -               |
| 0.4929 | 16650 | 0.013         | -               |
| 0.4944 | 16700 | 0.0123        | -               |
| 0.4959 | 16750 | 0.0151        | -               |
| 0.4973 | 16800 | 0.0014        | -               |
| 0.4988 | 16850 | 0.0028        | -               |
| 0.5003 | 16900 | 0.0108        | -               |
| 0.5018 | 16950 | 0.0023        | -               |
| 0.5033 | 17000 | 0.0495        | -               |
| 0.5047 | 17050 | 0.0171        | -               |
| 0.5062 | 17100 | 0.0014        | -               |
| 0.5077 | 17150 | 0.1108        | -               |
| 0.5092 | 17200 | 0.0309        | -               |
| 0.5107 | 17250 | 0.0085        | -               |
| 0.5121 | 17300 | 0.1128        | -               |
| 0.5136 | 17350 | 0.0548        | -               |
| 0.5151 | 17400 | 0.034         | -               |
| 0.5166 | 17450 | 0.0788        | -               |
| 0.5181 | 17500 | 0.072         | -               |
| 0.5195 | 17550 | 0.0498        | -               |
| 0.5210 | 17600 | 0.0109        | -               |
| 0.5225 | 17650 | 0.0738        | -               |
| 0.5240 | 17700 | 0.021         | -               |
| 0.5255 | 17750 | 0.0364        | -               |
| 0.5269 | 17800 | 0.0611        | -               |
| 0.5284 | 17850 | 0.0138        | -               |
| 0.5299 | 17900 | 0.0109        | -               |
| 0.5314 | 17950 | 0.0572        | -               |
| 0.5329 | 18000 | 0.0095        | -               |
| 0.5343 | 18050 | 0.0501        | -               |
| 0.5358 | 18100 | 0.0546        | -               |
| 0.5373 | 18150 | 0.0446        | -               |
| 0.5388 | 18200 | 0.0645        | -               |
| 0.5403 | 18250 | 0.0107        | -               |
| 0.5417 | 18300 | 0.0069        | -               |
| 0.5432 | 18350 | 0.0235        | -               |
| 0.5447 | 18400 | 0.0014        | -               |
| 0.5462 | 18450 | 0.0337        | -               |
| 0.5477 | 18500 | 0.0142        | -               |
| 0.5491 | 18550 | 0.0142        | -               |
| 0.5506 | 18600 | 0.0503        | -               |
| 0.5521 | 18650 | 0.0015        | -               |
| 0.5536 | 18700 | 0.0242        | -               |
| 0.5551 | 18750 | 0.0007        | -               |
| 0.5565 | 18800 | 0.0529        | -               |
| 0.5580 | 18850 | 0.0313        | -               |
| 0.5595 | 18900 | 0.0886        | -               |
| 0.5610 | 18950 | 0.0335        | -               |
| 0.5625 | 19000 | 0.0311        | -               |
| 0.5639 | 19050 | 0.0105        | -               |
| 0.5654 | 19100 | 0.0116        | -               |
| 0.5669 | 19150 | 0.0559        | -               |
| 0.5684 | 19200 | 0.0945        | -               |
| 0.5699 | 19250 | 0.0826        | -               |
| 0.5713 | 19300 | 0.0266        | -               |
| 0.5728 | 19350 | 0.0769        | -               |
| 0.5743 | 19400 | 0.0912        | -               |
| 0.5758 | 19450 | 0.0641        | -               |
| 0.5773 | 19500 | 0.0541        | -               |
| 0.5787 | 19550 | 0.0769        | -               |
| 0.5802 | 19600 | 0.0411        | -               |
| 0.5817 | 19650 | 0.115         | -               |
| 0.5832 | 19700 | 0.0819        | -               |
| 0.5847 | 19750 | 0.071         | -               |
| 0.5861 | 19800 | 0.0066        | -               |
| 0.5876 | 19850 | 0.0659        | -               |
| 0.5891 | 19900 | 0.07          | -               |
| 0.5906 | 19950 | 0.0607        | -               |
| 0.5921 | 20000 | 0.0474        | -               |
| 0.5935 | 20050 | 0.016         | -               |
| 0.5950 | 20100 | 0.0122        | -               |
| 0.5965 | 20150 | 0.0333        | -               |
| 0.5980 | 20200 | 0.0155        | -               |
| 0.5995 | 20250 | 0.0005        | -               |
| 0.6009 | 20300 | 0.015         | -               |
| 0.6024 | 20350 | 0.0014        | -               |
| 0.6039 | 20400 | 0.0459        | -               |
| 0.6054 | 20450 | 0.0808        | -               |
| 0.6069 | 20500 | 0.1034        | -               |
| 0.6083 | 20550 | 0.0846        | -               |
| 0.6098 | 20600 | 0.071         | -               |
| 0.6113 | 20650 | 0.0486        | -               |
| 0.6128 | 20700 | 0.022         | -               |
| 0.6143 | 20750 | 0.0016        | -               |
| 0.6157 | 20800 | 0.0666        | -               |
| 0.6172 | 20850 | 0.0461        | -               |
| 0.6187 | 20900 | 0.022         | -               |
| 0.6202 | 20950 | 0.0449        | -               |
| 0.6217 | 21000 | 0.0844        | -               |
| 0.6231 | 21050 | 0.0888        | -               |
| 0.6246 | 21100 | 0.0219        | -               |
| 0.6261 | 21150 | 0.0005        | -               |
| 0.6276 | 21200 | 0.025         | -               |
| 0.6291 | 21250 | 0.1285        | -               |
| 0.6306 | 21300 | 0.0224        | -               |
| 0.6320 | 21350 | 0.0444        | -               |
| 0.6335 | 21400 | 0.0133        | -               |
| 0.6350 | 21450 | 0.0317        | -               |
| 0.6365 | 21500 | 0.0457        | -               |
| 0.6380 | 21550 | 0.0997        | -               |
| 0.6394 | 21600 | 0.0689        | -               |
| 0.6409 | 21650 | 0.0275        | -               |
| 0.6424 | 21700 | 0.014         | -               |
| 0.6439 | 21750 | 0.0304        | -               |
| 0.6454 | 21800 | 0.072         | -               |
| 0.6468 | 21850 | 0.0556        | -               |
| 0.6483 | 21900 | 0.0902        | -               |
| 0.6498 | 21950 | 0.0153        | -               |
| 0.6513 | 22000 | 0.0759        | -               |
| 0.6528 | 22050 | 0.0905        | -               |
| 0.6542 | 22100 | 0.1058        | -               |
| 0.6557 | 22150 | 0.0524        | -               |
| 0.6572 | 22200 | 0.0711        | -               |
| 0.6587 | 22250 | 0.0201        | -               |
| 0.6602 | 22300 | 0.0367        | -               |
| 0.6616 | 22350 | 0.0513        | -               |
| 0.6631 | 22400 | 0.0187        | -               |
| 0.6646 | 22450 | 0.027         | -               |
| 0.6661 | 22500 | 0.0643        | -               |
| 0.6676 | 22550 | 0.0334        | -               |
| 0.6690 | 22600 | 0.023         | -               |
| 0.6705 | 22650 | 0.1438        | -               |
| 0.6720 | 22700 | 0.0051        | -               |
| 0.6735 | 22750 | 0.0335        | -               |
| 0.6750 | 22800 | 0.0879        | -               |
| 0.6764 | 22850 | 0.003         | -               |
| 0.6779 | 22900 | 0.0061        | -               |
| 0.6794 | 22950 | 0.104         | -               |
| 0.6809 | 23000 | 0.0575        | -               |
| 0.6824 | 23050 | 0.0009        | -               |
| 0.6838 | 23100 | 0.001         | -               |
| 0.6853 | 23150 | 0.01          | -               |
| 0.6868 | 23200 | 0.0018        | -               |
| 0.6883 | 23250 | 0.036         | -               |
| 0.6898 | 23300 | 0.0011        | -               |
| 0.6912 | 23350 | 0.0033        | -               |
| 0.6927 | 23400 | 0.117         | -               |
| 0.6942 | 23450 | 0.0177        | -               |
| 0.6957 | 23500 | 0.0547        | -               |
| 0.6972 | 23550 | 0.061         | -               |
| 0.6986 | 23600 | 0.06          | -               |
| 0.7001 | 23650 | 0.0259        | -               |
| 0.7016 | 23700 | 0.1325        | -               |
| 0.7031 | 23750 | 0.0298        | -               |
| 0.7046 | 23800 | 0.0046        | -               |
| 0.7060 | 23850 | 0.0129        | -               |
| 0.7075 | 23900 | 0.0085        | -               |
| 0.7090 | 23950 | 0.015         | -               |
| 0.7105 | 24000 | 0.0205        | -               |
| 0.7120 | 24050 | 0.0135        | -               |
| 0.7134 | 24100 | 0.0408        | -               |
| 0.7149 | 24150 | 0.0014        | -               |
| 0.7164 | 24200 | 0.0305        | -               |
| 0.7179 | 24250 | 0.0241        | -               |
| 0.7194 | 24300 | 0.0621        | -               |
| 0.7208 | 24350 | 0.0014        | -               |
| 0.7223 | 24400 | 0.0522        | -               |
| 0.7238 | 24450 | 0.1001        | -               |
| 0.7253 | 24500 | 0.0007        | -               |
| 0.7268 | 24550 | 0.0045        | -               |
| 0.7282 | 24600 | 0.0282        | -               |
| 0.7297 | 24650 | 0.022         | -               |
| 0.7312 | 24700 | 0.107         | -               |
| 0.7327 | 24750 | 0.0363        | -               |
| 0.7342 | 24800 | 0.0943        | -               |
| 0.7356 | 24850 | 0.0015        | -               |
| 0.7371 | 24900 | 0.0266        | -               |
| 0.7386 | 24950 | 0.0113        | -               |
| 0.7401 | 25000 | 0.0283        | -               |
| 0.7416 | 25050 | 0.1304        | -               |
| 0.7430 | 25100 | 0.0199        | -               |
| 0.7445 | 25150 | 0.0014        | -               |
| 0.7460 | 25200 | 0.0594        | -               |
| 0.7475 | 25250 | 0.1188        | -               |
| 0.7490 | 25300 | 0.0325        | -               |
| 0.7504 | 25350 | 0.0715        | -               |
| 0.7519 | 25400 | 0.0352        | -               |
| 0.7534 | 25450 | 0.0165        | -               |
| 0.7549 | 25500 | 0.0025        | -               |
| 0.7564 | 25550 | 0.0017        | -               |
| 0.7578 | 25600 | 0.0584        | -               |
| 0.7593 | 25650 | 0.0251        | -               |
| 0.7608 | 25700 | 0.0155        | -               |
| 0.7623 | 25750 | 0.0304        | -               |
| 0.7638 | 25800 | 0.0461        | -               |
| 0.7652 | 25850 | 0.0347        | -               |
| 0.7667 | 25900 | 0.1044        | -               |
| 0.7682 | 25950 | 0.0174        | -               |
| 0.7697 | 26000 | 0.0077        | -               |
| 0.7712 | 26050 | 0.0264        | -               |
| 0.7726 | 26100 | 0.0437        | -               |
| 0.7741 | 26150 | 0.053         | -               |
| 0.7756 | 26200 | 0.0721        | -               |
| 0.7771 | 26250 | 0.0278        | -               |
| 0.7786 | 26300 | 0.0107        | -               |
| 0.7800 | 26350 | 0.0237        | -               |
| 0.7815 | 26400 | 0.035         | -               |
| 0.7830 | 26450 | 0.0322        | -               |
| 0.7845 | 26500 | 0.0641        | -               |
| 0.7860 | 26550 | 0.0219        | -               |
| 0.7874 | 26600 | 0.0256        | -               |
| 0.7889 | 26650 | 0.0559        | -               |
| 0.7904 | 26700 | 0.0463        | -               |
| 0.7919 | 26750 | 0.0992        | -               |
| 0.7934 | 26800 | 0.062         | -               |
| 0.7948 | 26850 | 0.0038        | -               |
| 0.7963 | 26900 | 0.0521        | -               |
| 0.7978 | 26950 | 0.011         | -               |
| 0.7993 | 27000 | 0.0109        | -               |
| 0.8008 | 27050 | 0.0483        | -               |
| 0.8022 | 27100 | 0.0379        | -               |
| 0.8037 | 27150 | 0.0231        | -               |
| 0.8052 | 27200 | 0.0888        | -               |
| 0.8067 | 27250 | 0.0197        | -               |
| 0.8082 | 27300 | 0.0003        | -               |
| 0.8097 | 27350 | 0.0157        | -               |
| 0.8111 | 27400 | 0.0192        | -               |
| 0.8126 | 27450 | 0.0802        | -               |
| 0.8141 | 27500 | 0.0407        | -               |
| 0.8156 | 27550 | 0.0351        | -               |
| 0.8171 | 27600 | 0.001         | -               |
| 0.8185 | 27650 | 0.0007        | -               |
| 0.8200 | 27700 | 0.021         | -               |
| 0.8215 | 27750 | 0.0548        | -               |
| 0.8230 | 27800 | 0.0442        | -               |
| 0.8245 | 27850 | 0.0561        | -               |
| 0.8259 | 27900 | 0.0181        | -               |
| 0.8274 | 27950 | 0.0669        | -               |
| 0.8289 | 28000 | 0.016         | -               |
| 0.8304 | 28050 | 0.0817        | -               |
| 0.8319 | 28100 | 0.0221        | -               |
| 0.8333 | 28150 | 0.0014        | -               |
| 0.8348 | 28200 | 0.0195        | -               |
| 0.8363 | 28250 | 0.0735        | -               |
| 0.8378 | 28300 | 0.002         | -               |
| 0.8393 | 28350 | 0.0269        | -               |
| 0.8407 | 28400 | 0.0365        | -               |
| 0.8422 | 28450 | 0.0825        | -               |
| 0.8437 | 28500 | 0.0382        | -               |
| 0.8452 | 28550 | 0.0144        | -               |
| 0.8467 | 28600 | 0.0529        | -               |
| 0.8481 | 28650 | 0.0042        | -               |
| 0.8496 | 28700 | 0.0532        | -               |
| 0.8511 | 28750 | 0.0195        | -               |
| 0.8526 | 28800 | 0.018         | -               |
| 0.8541 | 28850 | 0.005         | -               |
| 0.8555 | 28900 | 0.0694        | -               |
| 0.8570 | 28950 | 0.0006        | -               |
| 0.8585 | 29000 | 0.0169        | -               |
| 0.8600 | 29050 | 0.0188        | -               |
| 0.8615 | 29100 | 0.0002        | -               |
| 0.8629 | 29150 | 0.0246        | -               |
| 0.8644 | 29200 | 0.001         | -               |
| 0.8659 | 29250 | 0.0017        | -               |
| 0.8674 | 29300 | 0.0169        | -               |
| 0.8689 | 29350 | 0.0621        | -               |
| 0.8703 | 29400 | 0.0017        | -               |
| 0.8718 | 29450 | 0.0008        | -               |
| 0.8733 | 29500 | 0.0086        | -               |
| 0.8748 | 29550 | 0.0214        | -               |
| 0.8763 | 29600 | 0.0495        | -               |
| 0.8777 | 29650 | 0.0864        | -               |
| 0.8792 | 29700 | 0.0844        | -               |
| 0.8807 | 29750 | 0.0738        | -               |
| 0.8822 | 29800 | 0.0007        | -               |
| 0.8837 | 29850 | 0.0408        | -               |
| 0.8851 | 29900 | 0.0025        | -               |
| 0.8866 | 29950 | 0.0313        | -               |
| 0.8881 | 30000 | 0.0178        | -               |
| 0.8896 | 30050 | 0.0123        | -               |
| 0.8911 | 30100 | 0.0001        | -               |
| 0.8925 | 30150 | 0.0031        | -               |
| 0.8940 | 30200 | 0.0035        | -               |
| 0.8955 | 30250 | 0.0278        | -               |
| 0.8970 | 30300 | 0.034         | -               |
| 0.8985 | 30350 | 0.0255        | -               |
| 0.8999 | 30400 | 0.0012        | -               |
| 0.9014 | 30450 | 0.0756        | -               |
| 0.9029 | 30500 | 0.0813        | -               |
| 0.9044 | 30550 | 0.0024        | -               |
| 0.9059 | 30600 | 0.1491        | -               |
| 0.9073 | 30650 | 0.0009        | -               |
| 0.9088 | 30700 | 0.0299        | -               |
| 0.9103 | 30750 | 0.0226        | -               |
| 0.9118 | 30800 | 0.0198        | -               |
| 0.9133 | 30850 | 0.0019        | -               |
| 0.9147 | 30900 | 0.0406        | -               |
| 0.9162 | 30950 | 0.0168        | -               |
| 0.9177 | 31000 | 0.0409        | -               |
| 0.9192 | 31050 | 0.0016        | -               |
| 0.9207 | 31100 | 0.0172        | -               |
| 0.9221 | 31150 | 0.0131        | -               |
| 0.9236 | 31200 | 0.1433        | -               |
| 0.9251 | 31250 | 0.0316        | -               |
| 0.9266 | 31300 | 0.0774        | -               |
| 0.9281 | 31350 | 0.1256        | -               |
| 0.9295 | 31400 | 0.0257        | -               |
| 0.9310 | 31450 | 0.2166        | -               |
| 0.9325 | 31500 | 0.0023        | -               |
| 0.9340 | 31550 | 0.0261        | -               |
| 0.9355 | 31600 | 0.0143        | -               |
| 0.9369 | 31650 | 0.0005        | -               |
| 0.9384 | 31700 | 0.0522        | -               |
| 0.9399 | 31750 | 0.024         | -               |
| 0.9414 | 31800 | 0.0353        | -               |
| 0.9429 | 31850 | 0.0022        | -               |
| 0.9443 | 31900 | 0.0006        | -               |
| 0.9458 | 31950 | 0.0321        | -               |
| 0.9473 | 32000 | 0.0879        | -               |
| 0.9488 | 32050 | 0.0007        | -               |
| 0.9503 | 32100 | 0.003         | -               |
| 0.9517 | 32150 | 0.0295        | -               |
| 0.9532 | 32200 | 0.0817        | -               |
| 0.9547 | 32250 | 0.0345        | -               |
| 0.9562 | 32300 | 0.0004        | -               |
| 0.9577 | 32350 | 0.0112        | -               |
| 0.9591 | 32400 | 0.0284        | -               |
| 0.9606 | 32450 | 0.0654        | -               |
| 0.9621 | 32500 | 0.036         | -               |
| 0.9636 | 32550 | 0.0181        | -               |
| 0.9651 | 32600 | 0.0374        | -               |
| 0.9665 | 32650 | 0.0022        | -               |
| 0.9680 | 32700 | 0.0706        | -               |
| 0.9695 | 32750 | 0.0009        | -               |
| 0.9710 | 32800 | 0.0077        | -               |
| 0.9725 | 32850 | 0.0016        | -               |
| 0.9739 | 32900 | 0.0586        | -               |
| 0.9754 | 32950 | 0.0134        | -               |
| 0.9769 | 33000 | 0.0108        | -               |
| 0.9784 | 33050 | 0.0839        | -               |
| 0.9799 | 33100 | 0.0032        | -               |
| 0.9813 | 33150 | 0.0152        | -               |
| 0.9828 | 33200 | 0.049         | -               |
| 0.9843 | 33250 | 0.038         | -               |
| 0.9858 | 33300 | 0.0302        | -               |
| 0.9873 | 33350 | 0.0193        | -               |
| 0.9888 | 33400 | 0.0291        | -               |
| 0.9902 | 33450 | 0.0083        | -               |
| 0.9917 | 33500 | 0.0014        | -               |
| 0.9932 | 33550 | 0.0223        | -               |
| 0.9947 | 33600 | 0.0154        | -               |
| 0.9962 | 33650 | 0.0788        | -               |
| 0.9976 | 33700 | 0.0567        | -               |
| 0.9991 | 33750 | 0.0207        | -               |

### Framework Versions
- Python: 3.11.0
- SetFit: 1.0.3
- Sentence Transformers: 2.3.0
- Transformers: 4.37.2
- PyTorch: 2.2.1+cu121
- Datasets: 2.16.1
- Tokenizers: 0.15.1

## 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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