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---
base_model: BAAI/bge-small-en-v1.5
library_name: setfit
metrics:
- accuracy
pipeline_tag: text-classification
tags:
- setfit
- sentence-transformers
- text-classification
- generated_from_setfit_trainer
widget:
- text: What tables are included in the starhub_data_asset database that relate to
    customer complaints?
- text: What are the tables that I can access in the starhub_data_asset database?
- text: Can I have avg Cost_Efficiency
- text: Analyze product category revenue impact.
- text: Retrieve data_asset_kpi_ma_product details.
inference: true
model-index:
- name: SetFit with BAAI/bge-small-en-v1.5
  results:
  - task:
      type: text-classification
      name: Text Classification
    dataset:
      name: Unknown
      type: unknown
      split: test
    metrics:
    - type: accuracy
      value: 0.9914529914529915
      name: Accuracy
---

# SetFit with BAAI/bge-small-en-v1.5

This is a [SetFit](https://github.com/huggingface/setfit) model that can be used for Text Classification. This SetFit model uses [BAAI/bge-small-en-v1.5](https://huggingface.co/BAAI/bge-small-en-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:** [BAAI/bge-small-en-v1.5](https://huggingface.co/BAAI/bge-small-en-v1.5)
- **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:** 7 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                                                                                                                                                                                                                                                                                                                                                                                                                                                                                      |
|:-------------|:----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| Generalreply | <ul><li>'Can you recommend a good movie to watch?'</li><li>"Oh, that's a tough one! There are so many good memories to choose from. But if I had to pick just one, I think it would be spending summers at my grandparent's house. We would play board games, make homemade ice cream, and have big family dinners. It was always so much fun!"</li><li>'Oh, I love reading books! My favorite genre is definitely fantasy. How about you? What kind of books do you like to read?'</li></ul> |
| Lookup_1     | <ul><li>'Get me data_asset_kpi_cf cash flow.'</li><li>'Display data_asset_001_pcc for electronics category.'</li><li>'Calculate Gross Profit Margin Trends.'</li></ul>                                                                                                                                                                                                                                                                                                                        |
| Lookup       | <ul><li>"What are the products in the 'Clothing' category?"</li><li>"Get me the phone numbers of customers with the last name 'Johnson'."</li><li>"Can you filter by employees who have the last name 'Brown'?"</li></ul>                                                                                                                                                                                                                                                                     |
| Aggregation  | <ul><li>'Get me max Accumulated Amortisation and Impairment.'</li><li>'Can I have mode of Revenue'</li><li>'Show me count company_name'</li></ul>                                                                                                                                                                                                                                                                                                                                             |
| Tablejoin    | <ul><li>'Could you merge the Orders and Employees tables to identify which employees have processed high-value orders?'</li><li>'Could you connect the Products and Orders tables to analyze sales data by product category?'</li><li>'How can I connect the Customers and Orders tables to find customers who made purchases during a specific promotion?'</li></ul>                                                                                                                         |
| Viewtables   | <ul><li>'What are the tables in the starhub_data_asset database that a user can join to perform a sales analysis?'</li><li>'What tables can be found in the asset-tracking section of the starhub_data_asset database?'</li><li>'What tables exist in the starhub_data_asset database?'</li></ul>                                                                                                                                                                                             |
| Rejection    | <ul><li>"Let's avoid creating any new data sets."</li><li>"I'd prefer to avoid generating data fields."</li><li>"I'm not interested in filtering this collection."</li></ul>                                                                                                                                                                                                                                                                                                                  |

## Evaluation

### Metrics
| Label   | Accuracy |
|:--------|:---------|
| **all** | 0.9915   |

## 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("nazhan/bge-small-en-v1.5-brahmaputra-iter-10")
# Run inference
preds = model("Can I have avg Cost_Efficiency")
```

<!--
### 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   | 8.6563 | 62  |

| Label        | Training Sample Count |
|:-------------|:----------------------|
| Tablejoin    | 129                   |
| Rejection    | 77                    |
| Aggregation  | 282                   |
| Lookup       | 60                    |
| Generalreply | 63                    |
| Viewtables   | 74                    |
| Lookup_1     | 150                   |

### Training Hyperparameters
- batch_size: (16, 16)
- 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
- seed: 42
- eval_max_steps: -1
- load_best_model_at_end: True

### Training Results
| Epoch   | Step      | Training Loss | Validation Loss |
|:-------:|:---------:|:-------------:|:---------------:|
| 0.0000  | 1         | 0.2038        | -               |
| 0.0014  | 50        | 0.2019        | -               |
| 0.0029  | 100       | 0.1983        | -               |
| 0.0043  | 150       | 0.206         | -               |
| 0.0057  | 200       | 0.2268        | -               |
| 0.0071  | 250       | 0.2025        | -               |
| 0.0086  | 300       | 0.2041        | -               |
| 0.0100  | 350       | 0.1426        | -               |
| 0.0114  | 400       | 0.1513        | -               |
| 0.0129  | 450       | 0.1215        | -               |
| 0.0143  | 500       | 0.1426        | -               |
| 0.0157  | 550       | 0.0859        | -               |
| 0.0172  | 600       | 0.0486        | -               |
| 0.0186  | 650       | 0.0378        | -               |
| 0.0200  | 700       | 0.0519        | -               |
| 0.0214  | 750       | 0.0717        | -               |
| 0.0229  | 800       | 0.1161        | -               |
| 0.0243  | 850       | 0.0771        | -               |
| 0.0257  | 900       | 0.074         | -               |
| 0.0272  | 950       | 0.0567        | -               |
| 0.0286  | 1000      | 0.0223        | -               |
| 0.0300  | 1050      | 0.0266        | -               |
| 0.0315  | 1100      | 0.0261        | -               |
| 0.0329  | 1150      | 0.0333        | -               |
| 0.0343  | 1200      | 0.0107        | -               |
| 0.0357  | 1250      | 0.0123        | -               |
| 0.0372  | 1300      | 0.0193        | -               |
| 0.0386  | 1350      | 0.0039        | -               |
| 0.0400  | 1400      | 0.0079        | -               |
| 0.0415  | 1450      | 0.0035        | -               |
| 0.0429  | 1500      | 0.003         | -               |
| 0.0443  | 1550      | 0.0041        | -               |
| 0.0457  | 1600      | 0.0038        | -               |
| 0.0472  | 1650      | 0.002         | -               |
| 0.0486  | 1700      | 0.0028        | -               |
| 0.0500  | 1750      | 0.0056        | -               |
| 0.0515  | 1800      | 0.0035        | -               |
| 0.0529  | 1850      | 0.0027        | -               |
| 0.0543  | 1900      | 0.0028        | -               |
| 0.0558  | 1950      | 0.0028        | -               |
| 0.0572  | 2000      | 0.0019        | -               |
| 0.0586  | 2050      | 0.0046        | -               |
| 0.0600  | 2100      | 0.0017        | -               |
| 0.0615  | 2150      | 0.0016        | -               |
| 0.0629  | 2200      | 0.0022        | -               |
| 0.0643  | 2250      | 0.002         | -               |
| 0.0658  | 2300      | 0.0029        | -               |
| 0.0672  | 2350      | 0.0032        | -               |
| 0.0686  | 2400      | 0.0018        | -               |
| 0.0701  | 2450      | 0.0015        | -               |
| 0.0715  | 2500      | 0.0015        | -               |
| 0.0729  | 2550      | 0.0016        | -               |
| 0.0743  | 2600      | 0.0012        | -               |
| 0.0758  | 2650      | 0.0014        | -               |
| 0.0772  | 2700      | 0.0015        | -               |
| 0.0786  | 2750      | 0.0018        | -               |
| 0.0801  | 2800      | 0.0012        | -               |
| 0.0815  | 2850      | 0.0009        | -               |
| 0.0829  | 2900      | 0.001         | -               |
| 0.0843  | 2950      | 0.0011        | -               |
| 0.0858  | 3000      | 0.0011        | -               |
| 0.0872  | 3050      | 0.001         | -               |
| 0.0886  | 3100      | 0.0012        | -               |
| 0.0901  | 3150      | 0.0006        | -               |
| 0.0915  | 3200      | 0.0013        | -               |
| 0.0929  | 3250      | 0.0007        | -               |
| 0.0944  | 3300      | 0.0007        | -               |
| 0.0958  | 3350      | 0.0009        | -               |
| 0.0972  | 3400      | 0.0008        | -               |
| 0.0986  | 3450      | 0.0005        | -               |
| 0.1001  | 3500      | 0.001         | -               |
| 0.1015  | 3550      | 0.001         | -               |
| 0.1029  | 3600      | 0.0008        | -               |
| 0.1044  | 3650      | 0.0007        | -               |
| 0.1058  | 3700      | 0.0006        | -               |
| 0.1072  | 3750      | 0.0009        | -               |
| 0.1086  | 3800      | 0.0012        | -               |
| 0.1101  | 3850      | 0.0007        | -               |
| 0.1115  | 3900      | 0.0008        | -               |
| 0.1129  | 3950      | 0.0009        | -               |
| 0.1144  | 4000      | 0.0007        | -               |
| 0.1158  | 4050      | 0.0007        | -               |
| 0.1172  | 4100      | 0.0007        | -               |
| 0.1187  | 4150      | 0.0006        | -               |
| 0.1201  | 4200      | 0.0006        | -               |
| 0.1215  | 4250      | 0.0011        | -               |
| 0.1229  | 4300      | 0.0012        | -               |
| 0.1244  | 4350      | 0.0007        | -               |
| 0.1258  | 4400      | 0.0007        | -               |
| 0.1272  | 4450      | 0.0006        | -               |
| 0.1287  | 4500      | 0.0005        | -               |
| 0.1301  | 4550      | 0.0008        | -               |
| 0.1315  | 4600      | 0.0006        | -               |
| 0.1330  | 4650      | 0.0007        | -               |
| 0.1344  | 4700      | 0.0006        | -               |
| 0.1358  | 4750      | 0.0005        | -               |
| 0.1372  | 4800      | 0.0006        | -               |
| 0.1387  | 4850      | 0.0008        | -               |
| 0.1401  | 4900      | 0.0008        | -               |
| 0.1415  | 4950      | 0.0004        | -               |
| 0.1430  | 5000      | 0.0005        | -               |
| 0.1444  | 5050      | 0.0005        | -               |
| 0.1458  | 5100      | 0.0007        | -               |
| 0.1472  | 5150      | 0.0006        | -               |
| 0.1487  | 5200      | 0.0006        | -               |
| 0.1501  | 5250      | 0.0004        | -               |
| 0.1515  | 5300      | 0.0005        | -               |
| 0.1530  | 5350      | 0.0007        | -               |
| 0.1544  | 5400      | 0.0007        | -               |
| 0.1558  | 5450      | 0.0005        | -               |
| 0.1573  | 5500      | 0.0007        | -               |
| 0.1587  | 5550      | 0.0004        | -               |
| 0.1601  | 5600      | 0.0004        | -               |
| 0.1615  | 5650      | 0.0006        | -               |
| 0.1630  | 5700      | 0.0005        | -               |
| 0.1644  | 5750      | 0.0006        | -               |
| 0.1658  | 5800      | 0.0004        | -               |
| 0.1673  | 5850      | 0.0005        | -               |
| 0.1687  | 5900      | 0.0007        | -               |
| 0.1701  | 5950      | 0.0005        | -               |
| 0.1716  | 6000      | 0.0005        | -               |
| 0.1730  | 6050      | 0.0003        | -               |
| 0.1744  | 6100      | 0.0003        | -               |
| 0.1758  | 6150      | 0.0005        | -               |
| 0.1773  | 6200      | 0.0007        | -               |
| 0.1787  | 6250      | 0.0004        | -               |
| 0.1801  | 6300      | 0.0006        | -               |
| 0.1816  | 6350      | 0.0004        | -               |
| 0.1830  | 6400      | 0.0003        | -               |
| 0.1844  | 6450      | 0.0005        | -               |
| 0.1858  | 6500      | 0.0004        | -               |
| 0.1873  | 6550      | 0.0006        | -               |
| 0.1887  | 6600      | 0.0005        | -               |
| 0.1901  | 6650      | 0.0005        | -               |
| 0.1916  | 6700      | 0.0003        | -               |
| 0.1930  | 6750      | 0.0004        | -               |
| 0.1944  | 6800      | 0.0004        | -               |
| 0.1959  | 6850      | 0.0004        | -               |
| 0.1973  | 6900      | 0.0003        | -               |
| 0.1987  | 6950      | 0.0004        | -               |
| 0.2001  | 7000      | 0.0004        | -               |
| 0.2016  | 7050      | 0.0003        | -               |
| 0.2030  | 7100      | 0.0003        | -               |
| 0.2044  | 7150      | 0.0005        | -               |
| 0.2059  | 7200      | 0.0004        | -               |
| 0.2073  | 7250      | 0.0003        | -               |
| 0.2087  | 7300      | 0.0002        | -               |
| 0.2102  | 7350      | 0.0003        | -               |
| 0.2116  | 7400      | 0.0004        | -               |
| 0.2130  | 7450      | 0.0006        | -               |
| 0.2144  | 7500      | 0.0003        | -               |
| 0.2159  | 7550      | 0.0002        | -               |
| 0.2173  | 7600      | 0.0004        | -               |
| 0.2187  | 7650      | 0.0003        | -               |
| 0.2202  | 7700      | 0.0005        | -               |
| 0.2216  | 7750      | 0.0004        | -               |
| 0.2230  | 7800      | 0.0004        | -               |
| 0.2244  | 7850      | 0.0004        | -               |
| 0.2259  | 7900      | 0.0003        | -               |
| 0.2273  | 7950      | 0.0005        | -               |
| 0.2287  | 8000      | 0.0003        | -               |
| 0.2302  | 8050      | 0.0003        | -               |
| 0.2316  | 8100      | 0.0003        | -               |
| 0.2330  | 8150      | 0.0002        | -               |
| 0.2345  | 8200      | 0.0002        | -               |
| 0.2359  | 8250      | 0.0004        | -               |
| 0.2373  | 8300      | 0.0004        | -               |
| 0.2387  | 8350      | 0.0004        | -               |
| 0.2402  | 8400      | 0.0003        | -               |
| 0.2416  | 8450      | 0.0002        | -               |
| 0.2430  | 8500      | 0.0002        | -               |
| 0.2445  | 8550      | 0.0003        | -               |
| 0.2459  | 8600      | 0.0004        | -               |
| 0.2473  | 8650      | 0.0004        | -               |
| 0.2487  | 8700      | 0.0003        | -               |
| 0.2502  | 8750      | 0.0002        | -               |
| 0.2516  | 8800      | 0.0003        | -               |
| 0.2530  | 8850      | 0.0003        | -               |
| 0.2545  | 8900      | 0.0004        | -               |
| 0.2559  | 8950      | 0.0003        | -               |
| 0.2573  | 9000      | 0.0002        | -               |
| 0.2588  | 9050      | 0.0003        | -               |
| 0.2602  | 9100      | 0.0003        | -               |
| 0.2616  | 9150      | 0.0003        | -               |
| 0.2630  | 9200      | 0.0003        | -               |
| 0.2645  | 9250      | 0.0002        | -               |
| 0.2659  | 9300      | 0.0002        | -               |
| 0.2673  | 9350      | 0.0003        | -               |
| 0.2688  | 9400      | 0.0552        | -               |
| 0.2702  | 9450      | 0.0003        | -               |
| 0.2716  | 9500      | 0.0003        | -               |
| 0.2731  | 9550      | 0.0004        | -               |
| 0.2745  | 9600      | 0.0004        | -               |
| 0.2759  | 9650      | 0.0005        | -               |
| 0.2773  | 9700      | 0.0003        | -               |
| 0.2788  | 9750      | 0.0003        | -               |
| 0.2802  | 9800      | 0.0003        | -               |
| 0.2816  | 9850      | 0.0003        | -               |
| 0.2831  | 9900      | 0.0004        | -               |
| 0.2845  | 9950      | 0.0003        | -               |
| 0.2859  | 10000     | 0.0003        | -               |
| 0.2873  | 10050     | 0.0004        | -               |
| 0.2888  | 10100     | 0.0005        | -               |
| 0.2902  | 10150     | 0.0003        | -               |
| 0.2916  | 10200     | 0.0004        | -               |
| 0.2931  | 10250     | 0.0002        | -               |
| 0.2945  | 10300     | 0.0005        | -               |
| 0.2959  | 10350     | 0.0003        | -               |
| 0.2974  | 10400     | 0.0003        | -               |
| 0.2988  | 10450     | 0.0002        | -               |
| 0.3002  | 10500     | 0.0003        | -               |
| 0.3016  | 10550     | 0.0004        | -               |
| 0.3031  | 10600     | 0.0003        | -               |
| 0.3045  | 10650     | 0.0003        | -               |
| 0.3059  | 10700     | 0.0004        | -               |
| 0.3074  | 10750     | 0.0003        | -               |
| 0.3088  | 10800     | 0.0003        | -               |
| 0.3102  | 10850     | 0.0003        | -               |
| 0.3117  | 10900     | 0.0002        | -               |
| 0.3131  | 10950     | 0.0005        | -               |
| 0.3145  | 11000     | 0.0003        | -               |
| 0.3159  | 11050     | 0.0002        | -               |
| 0.3174  | 11100     | 0.0003        | -               |
| 0.3188  | 11150     | 0.0004        | -               |
| 0.3202  | 11200     | 0.0004        | -               |
| 0.3217  | 11250     | 0.0002        | -               |
| 0.3231  | 11300     | 0.0003        | -               |
| 0.3245  | 11350     | 0.0003        | -               |
| 0.3259  | 11400     | 0.0003        | -               |
| 0.3274  | 11450     | 0.0004        | -               |
| 0.3288  | 11500     | 0.0004        | -               |
| 0.3302  | 11550     | 0.0003        | -               |
| 0.3317  | 11600     | 0.0003        | -               |
| 0.3331  | 11650     | 0.0002        | -               |
| 0.3345  | 11700     | 0.0004        | -               |
| 0.3360  | 11750     | 0.0002        | -               |
| 0.3374  | 11800     | 0.0003        | -               |
| 0.3388  | 11850     | 0.0002        | -               |
| 0.3402  | 11900     | 0.0003        | -               |
| 0.3417  | 11950     | 0.0002        | -               |
| 0.3431  | 12000     | 0.0004        | -               |
| 0.3445  | 12050     | 0.0003        | -               |
| 0.3460  | 12100     | 0.0004        | -               |
| 0.3474  | 12150     | 0.0005        | -               |
| 0.3488  | 12200     | 0.0004        | -               |
| 0.3503  | 12250     | 0.0004        | -               |
| 0.3517  | 12300     | 0.0002        | -               |
| 0.3531  | 12350     | 0.0002        | -               |
| 0.3545  | 12400     | 0.0004        | -               |
| 0.3560  | 12450     | 0.0002        | -               |
| 0.3574  | 12500     | 0.0002        | -               |
| 0.3588  | 12550     | 0.0003        | -               |
| 0.3603  | 12600     | 0.0005        | -               |
| 0.3617  | 12650     | 0.0003        | -               |
| 0.3631  | 12700     | 0.0003        | -               |
| 0.3645  | 12750     | 0.0002        | -               |
| 0.3660  | 12800     | 0.0003        | -               |
| 0.3674  | 12850     | 0.0002        | -               |
| 0.3688  | 12900     | 0.0002        | -               |
| 0.3703  | 12950     | 0.0001        | -               |
| 0.3717  | 13000     | 0.0002        | -               |
| 0.3731  | 13050     | 0.0003        | -               |
| 0.3746  | 13100     | 0.0003        | -               |
| 0.3760  | 13150     | 0.0002        | -               |
| 0.3774  | 13200     | 0.0004        | -               |
| 0.3788  | 13250     | 0.0003        | -               |
| 0.3803  | 13300     | 0.0002        | -               |
| 0.3817  | 13350     | 0.0003        | -               |
| 0.3831  | 13400     | 0.0003        | -               |
| 0.3846  | 13450     | 0.0003        | -               |
| 0.3860  | 13500     | 0.0002        | -               |
| 0.3874  | 13550     | 0.0002        | -               |
| 0.3888  | 13600     | 0.0003        | -               |
| 0.3903  | 13650     | 0.0003        | -               |
| 0.3917  | 13700     | 0.0002        | -               |
| 0.3931  | 13750     | 0.0002        | -               |
| 0.3946  | 13800     | 0.0002        | -               |
| 0.3960  | 13850     | 0.0004        | -               |
| 0.3974  | 13900     | 0.0003        | -               |
| 0.3989  | 13950     | 0.0002        | -               |
| 0.4003  | 14000     | 0.0003        | -               |
| 0.4017  | 14050     | 0.0001        | -               |
| 0.4031  | 14100     | 0.0002        | -               |
| 0.4046  | 14150     | 0.0001        | -               |
| 0.4060  | 14200     | 0.0002        | -               |
| 0.4074  | 14250     | 0.0002        | -               |
| 0.4089  | 14300     | 0.0002        | -               |
| 0.4103  | 14350     | 0.0003        | -               |
| 0.4117  | 14400     | 0.0003        | -               |
| 0.4132  | 14450     | 0.0002        | -               |
| 0.4146  | 14500     | 0.0003        | -               |
| 0.4160  | 14550     | 0.0003        | -               |
| 0.4174  | 14600     | 0.0002        | -               |
| 0.4189  | 14650     | 0.0002        | -               |
| 0.4203  | 14700     | 0.0003        | -               |
| 0.4217  | 14750     | 0.0003        | -               |
| 0.4232  | 14800     | 0.0002        | -               |
| 0.4246  | 14850     | 0.0003        | -               |
| 0.4260  | 14900     | 0.0003        | -               |
| 0.4274  | 14950     | 0.0003        | -               |
| 0.4289  | 15000     | 0.0002        | -               |
| 0.4303  | 15050     | 0.0002        | -               |
| 0.4317  | 15100     | 0.0002        | -               |
| 0.4332  | 15150     | 0.0004        | -               |
| 0.4346  | 15200     | 0.0003        | -               |
| 0.4360  | 15250     | 0.0001        | -               |
| 0.4375  | 15300     | 0.0002        | -               |
| 0.4389  | 15350     | 0.0001        | -               |
| 0.4403  | 15400     | 0.0002        | -               |
| 0.4417  | 15450     | 0.0001        | -               |
| 0.4432  | 15500     | 0.0002        | -               |
| 0.4446  | 15550     | 0.0002        | -               |
| 0.4460  | 15600     | 0.0002        | -               |
| 0.4475  | 15650     | 0.0002        | -               |
| 0.4489  | 15700     | 0.0003        | -               |
| 0.4503  | 15750     | 0.0002        | -               |
| 0.4518  | 15800     | 0.0002        | -               |
| 0.4532  | 15850     | 0.0003        | -               |
| 0.4546  | 15900     | 0.0003        | -               |
| 0.4560  | 15950     | 0.0002        | -               |
| 0.4575  | 16000     | 0.0002        | -               |
| 0.4589  | 16050     | 0.0002        | -               |
| 0.4603  | 16100     | 0.0003        | -               |
| 0.4618  | 16150     | 0.0002        | -               |
| 0.4632  | 16200     | 0.0003        | -               |
| 0.4646  | 16250     | 0.0002        | -               |
| 0.4660  | 16300     | 0.0002        | -               |
| 0.4675  | 16350     | 0.0002        | -               |
| 0.4689  | 16400     | 0.0002        | -               |
| 0.4703  | 16450     | 0.0002        | -               |
| 0.4718  | 16500     | 0.0002        | -               |
| 0.4732  | 16550     | 0.0002        | -               |
| 0.4746  | 16600     | 0.0003        | -               |
| 0.4761  | 16650     | 0.0002        | -               |
| 0.4775  | 16700     | 0.0002        | -               |
| 0.4789  | 16750     | 0.0002        | -               |
| 0.4803  | 16800     | 0.0002        | -               |
| 0.4818  | 16850     | 0.0001        | -               |
| 0.4832  | 16900     | 0.0003        | -               |
| 0.4846  | 16950     | 0.0002        | -               |
| 0.4861  | 17000     | 0.0002        | -               |
| 0.4875  | 17050     | 0.0002        | -               |
| 0.4889  | 17100     | 0.0002        | -               |
| 0.4904  | 17150     | 0.0002        | -               |
| 0.4918  | 17200     | 0.0002        | -               |
| 0.4932  | 17250     | 0.0002        | -               |
| 0.4946  | 17300     | 0.0002        | -               |
| 0.4961  | 17350     | 0.0002        | -               |
| 0.4975  | 17400     | 0.0002        | -               |
| 0.4989  | 17450     | 0.0001        | -               |
| 0.5004  | 17500     | 0.0001        | -               |
| 0.5018  | 17550     | 0.0002        | -               |
| 0.5032  | 17600     | 0.0002        | -               |
| 0.5046  | 17650     | 0.0002        | -               |
| 0.5061  | 17700     | 0.0002        | -               |
| 0.5075  | 17750     | 0.0002        | -               |
| 0.5089  | 17800     | 0.0002        | -               |
| 0.5104  | 17850     | 0.0002        | -               |
| 0.5118  | 17900     | 0.0002        | -               |
| 0.5132  | 17950     | 0.0003        | -               |
| 0.5147  | 18000     | 0.0002        | -               |
| 0.5161  | 18050     | 0.0002        | -               |
| 0.5175  | 18100     | 0.0002        | -               |
| 0.5189  | 18150     | 0.0002        | -               |
| 0.5204  | 18200     | 0.0002        | -               |
| 0.5218  | 18250     | 0.0002        | -               |
| 0.5232  | 18300     | 0.0002        | -               |
| 0.5247  | 18350     | 0.0002        | -               |
| 0.5261  | 18400     | 0.0002        | -               |
| 0.5275  | 18450     | 0.0003        | -               |
| 0.5289  | 18500     | 0.0001        | -               |
| 0.5304  | 18550     | 0.0002        | -               |
| 0.5318  | 18600     | 0.0001        | -               |
| 0.5332  | 18650     | 0.0002        | -               |
| 0.5347  | 18700     | 0.0002        | -               |
| 0.5361  | 18750     | 0.0002        | -               |
| 0.5375  | 18800     | 0.0002        | -               |
| 0.5390  | 18850     | 0.0001        | -               |
| 0.5404  | 18900     | 0.0001        | -               |
| 0.5418  | 18950     | 0.0001        | -               |
| 0.5432  | 19000     | 0.0002        | -               |
| 0.5447  | 19050     | 0.0002        | -               |
| 0.5461  | 19100     | 0.0002        | -               |
| 0.5475  | 19150     | 0.0002        | -               |
| 0.5490  | 19200     | 0.0002        | -               |
| 0.5504  | 19250     | 0.0002        | -               |
| 0.5518  | 19300     | 0.0001        | -               |
| 0.5533  | 19350     | 0.0002        | -               |
| 0.5547  | 19400     | 0.0002        | -               |
| 0.5561  | 19450     | 0.0004        | -               |
| 0.5575  | 19500     | 0.0002        | -               |
| 0.5590  | 19550     | 0.0002        | -               |
| 0.5604  | 19600     | 0.0003        | -               |
| 0.5618  | 19650     | 0.0003        | -               |
| 0.5633  | 19700     | 0.0002        | -               |
| 0.5647  | 19750     | 0.0002        | -               |
| 0.5661  | 19800     | 0.0001        | -               |
| 0.5675  | 19850     | 0.0003        | -               |
| 0.5690  | 19900     | 0.0002        | -               |
| 0.5704  | 19950     | 0.0002        | -               |
| 0.5718  | 20000     | 0.0001        | -               |
| 0.5733  | 20050     | 0.0003        | -               |
| 0.5747  | 20100     | 0.0001        | -               |
| 0.5761  | 20150     | 0.0002        | -               |
| 0.5776  | 20200     | 0.0003        | -               |
| 0.5790  | 20250     | 0.0003        | -               |
| 0.5804  | 20300     | 0.0002        | -               |
| 0.5818  | 20350     | 0.0003        | -               |
| 0.5833  | 20400     | 0.0002        | -               |
| 0.5847  | 20450     | 0.0002        | -               |
| 0.5861  | 20500     | 0.0002        | -               |
| 0.5876  | 20550     | 0.0001        | -               |
| 0.5890  | 20600     | 0.0002        | -               |
| 0.5904  | 20650     | 0.0002        | -               |
| 0.5919  | 20700     | 0.0002        | -               |
| 0.5933  | 20750     | 0.0002        | -               |
| 0.5947  | 20800     | 0.0001        | -               |
| 0.5961  | 20850     | 0.0001        | -               |
| 0.5976  | 20900     | 0.0001        | -               |
| 0.5990  | 20950     | 0.0001        | -               |
| 0.6004  | 21000     | 0.0002        | -               |
| 0.6019  | 21050     | 0.0001        | -               |
| 0.6033  | 21100     | 0.0002        | -               |
| 0.6047  | 21150     | 0.0001        | -               |
| 0.6061  | 21200     | 0.0002        | -               |
| 0.6076  | 21250     | 0.0002        | -               |
| 0.6090  | 21300     | 0.0001        | -               |
| 0.6104  | 21350     | 0.0002        | -               |
| 0.6119  | 21400     | 0.0001        | -               |
| 0.6133  | 21450     | 0.0002        | -               |
| 0.6147  | 21500     | 0.0001        | -               |
| 0.6162  | 21550     | 0.0002        | -               |
| 0.6176  | 21600     | 0.0001        | -               |
| 0.6190  | 21650     | 0.0001        | -               |
| 0.6204  | 21700     | 0.0001        | -               |
| 0.6219  | 21750     | 0.0002        | -               |
| 0.6233  | 21800     | 0.0001        | -               |
| 0.6247  | 21850     | 0.0001        | -               |
| 0.6262  | 21900     | 0.0001        | -               |
| 0.6276  | 21950     | 0.0002        | -               |
| 0.6290  | 22000     | 0.0002        | -               |
| 0.6305  | 22050     | 0.0001        | -               |
| 0.6319  | 22100     | 0.0002        | -               |
| 0.6333  | 22150     | 0.0001        | -               |
| 0.6347  | 22200     | 0.0001        | -               |
| 0.6362  | 22250     | 0.0001        | -               |
| 0.6376  | 22300     | 0.0002        | -               |
| 0.6390  | 22350     | 0.0001        | -               |
| 0.6405  | 22400     | 0.0003        | -               |
| 0.6419  | 22450     | 0.0002        | -               |
| 0.6433  | 22500     | 0.0002        | -               |
| 0.6447  | 22550     | 0.0001        | -               |
| 0.6462  | 22600     | 0.0002        | -               |
| 0.6476  | 22650     | 0.0002        | -               |
| 0.6490  | 22700     | 0.0002        | -               |
| 0.6505  | 22750     | 0.0002        | -               |
| 0.6519  | 22800     | 0.0001        | -               |
| 0.6533  | 22850     | 0.0002        | -               |
| 0.6548  | 22900     | 0.0002        | -               |
| 0.6562  | 22950     | 0.0002        | -               |
| 0.6576  | 23000     | 0.0002        | -               |
| 0.6590  | 23050     | 0.0002        | -               |
| 0.6605  | 23100     | 0.0002        | -               |
| 0.6619  | 23150     | 0.0002        | -               |
| 0.6633  | 23200     | 0.0002        | -               |
| 0.6648  | 23250     | 0.0002        | -               |
| 0.6662  | 23300     | 0.0002        | -               |
| 0.6676  | 23350     | 0.0001        | -               |
| 0.6690  | 23400     | 0.0002        | -               |
| 0.6705  | 23450     | 0.0002        | -               |
| 0.6719  | 23500     | 0.0001        | -               |
| 0.6733  | 23550     | 0.0002        | -               |
| 0.6748  | 23600     | 0.0001        | -               |
| 0.6762  | 23650     | 0.0002        | -               |
| 0.6776  | 23700     | 0.0002        | -               |
| 0.6791  | 23750     | 0.0002        | -               |
| 0.6805  | 23800     | 0.0001        | -               |
| 0.6819  | 23850     | 0.0002        | -               |
| 0.6833  | 23900     | 0.0003        | -               |
| 0.6848  | 23950     | 0.0002        | -               |
| 0.6862  | 24000     | 0.0002        | -               |
| 0.6876  | 24050     | 0.0001        | -               |
| 0.6891  | 24100     | 0.0002        | -               |
| 0.6905  | 24150     | 0.0001        | -               |
| 0.6919  | 24200     | 0.0003        | -               |
| 0.6934  | 24250     | 0.0002        | -               |
| 0.6948  | 24300     | 0.0001        | -               |
| 0.6962  | 24350     | 0.0001        | -               |
| 0.6976  | 24400     | 0.0001        | -               |
| 0.6991  | 24450     | 0.0001        | -               |
| 0.7005  | 24500     | 0.0001        | -               |
| 0.7019  | 24550     | 0.0002        | -               |
| 0.7034  | 24600     | 0.0001        | -               |
| 0.7048  | 24650     | 0.0002        | -               |
| 0.7062  | 24700     | 0.0001        | -               |
| 0.7076  | 24750     | 0.0002        | -               |
| 0.7091  | 24800     | 0.0002        | -               |
| 0.7105  | 24850     | 0.0002        | -               |
| 0.7119  | 24900     | 0.0002        | -               |
| 0.7134  | 24950     | 0.0001        | -               |
| 0.7148  | 25000     | 0.0002        | -               |
| 0.7162  | 25050     | 0.0001        | -               |
| 0.7177  | 25100     | 0.0002        | -               |
| 0.7191  | 25150     | 0.0001        | -               |
| 0.7205  | 25200     | 0.0001        | -               |
| 0.7219  | 25250     | 0.0002        | -               |
| 0.7234  | 25300     | 0.0002        | -               |
| 0.7248  | 25350     | 0.0002        | -               |
| 0.7262  | 25400     | 0.0001        | -               |
| 0.7277  | 25450     | 0.0002        | -               |
| 0.7291  | 25500     | 0.0002        | -               |
| 0.7305  | 25550     | 0.0002        | -               |
| 0.7320  | 25600     | 0.0001        | -               |
| 0.7334  | 25650     | 0.0002        | -               |
| 0.7348  | 25700     | 0.0002        | -               |
| 0.7362  | 25750     | 0.0002        | -               |
| 0.7377  | 25800     | 0.0002        | -               |
| 0.7391  | 25850     | 0.0001        | -               |
| 0.7405  | 25900     | 0.0002        | -               |
| 0.7420  | 25950     | 0.0002        | -               |
| 0.7434  | 26000     | 0.0001        | -               |
| 0.7448  | 26050     | 0.0001        | -               |
| 0.7462  | 26100     | 0.0001        | -               |
| 0.7477  | 26150     | 0.0001        | -               |
| 0.7491  | 26200     | 0.0001        | -               |
| 0.7505  | 26250     | 0.0002        | -               |
| 0.7520  | 26300     | 0.0001        | -               |
| 0.7534  | 26350     | 0.0001        | -               |
| 0.7548  | 26400     | 0.0001        | -               |
| 0.7563  | 26450     | 0.0002        | -               |
| 0.7577  | 26500     | 0.0001        | -               |
| 0.7591  | 26550     | 0.0002        | -               |
| 0.7605  | 26600     | 0.0003        | -               |
| 0.7620  | 26650     | 0.0002        | -               |
| 0.7634  | 26700     | 0.0002        | -               |
| 0.7648  | 26750     | 0.0001        | -               |
| 0.7663  | 26800     | 0.0001        | -               |
| 0.7677  | 26850     | 0.0002        | -               |
| 0.7691  | 26900     | 0.0002        | -               |
| 0.7706  | 26950     | 0.0001        | -               |
| 0.7720  | 27000     | 0.0001        | -               |
| 0.7734  | 27050     | 0.0001        | -               |
| 0.7748  | 27100     | 0.0001        | -               |
| 0.7763  | 27150     | 0.0001        | -               |
| 0.7777  | 27200     | 0.0002        | -               |
| 0.7791  | 27250     | 0.0001        | -               |
| 0.7806  | 27300     | 0.0001        | -               |
| 0.7820  | 27350     | 0.0001        | -               |
| 0.7834  | 27400     | 0.0002        | -               |
| 0.7848  | 27450     | 0.0001        | -               |
| 0.7863  | 27500     | 0.0001        | -               |
| 0.7877  | 27550     | 0.0001        | -               |
| 0.7891  | 27600     | 0.0001        | -               |
| 0.7906  | 27650     | 0.0001        | -               |
| 0.7920  | 27700     | 0.0001        | -               |
| 0.7934  | 27750     | 0.0001        | -               |
| 0.7949  | 27800     | 0.0001        | -               |
| 0.7963  | 27850     | 0.0001        | -               |
| 0.7977  | 27900     | 0.0001        | -               |
| 0.7991  | 27950     | 0.0003        | -               |
| 0.8006  | 28000     | 0.0001        | -               |
| 0.8020  | 28050     | 0.0002        | -               |
| 0.8034  | 28100     | 0.0001        | -               |
| 0.8049  | 28150     | 0.0002        | -               |
| 0.8063  | 28200     | 0.0           | -               |
| 0.8077  | 28250     | 0.0001        | -               |
| 0.8091  | 28300     | 0.0001        | -               |
| 0.8106  | 28350     | 0.0001        | -               |
| 0.8120  | 28400     | 0.0001        | -               |
| 0.8134  | 28450     | 0.0002        | -               |
| 0.8149  | 28500     | 0.0001        | -               |
| 0.8163  | 28550     | 0.0001        | -               |
| 0.8177  | 28600     | 0.0001        | -               |
| 0.8192  | 28650     | 0.0001        | -               |
| 0.8206  | 28700     | 0.0001        | -               |
| 0.8220  | 28750     | 0.0002        | -               |
| 0.8234  | 28800     | 0.0002        | -               |
| 0.8249  | 28850     | 0.0002        | -               |
| 0.8263  | 28900     | 0.0001        | -               |
| 0.8277  | 28950     | 0.0002        | -               |
| 0.8292  | 29000     | 0.0001        | -               |
| 0.8306  | 29050     | 0.0002        | -               |
| 0.8320  | 29100     | 0.0001        | -               |
| 0.8335  | 29150     | 0.0001        | -               |
| 0.8349  | 29200     | 0.0001        | -               |
| 0.8363  | 29250     | 0.0001        | -               |
| 0.8377  | 29300     | 0.0001        | -               |
| 0.8392  | 29350     | 0.0001        | -               |
| 0.8406  | 29400     | 0.0001        | -               |
| 0.8420  | 29450     | 0.0002        | -               |
| 0.8435  | 29500     | 0.0001        | -               |
| 0.8449  | 29550     | 0.0001        | -               |
| 0.8463  | 29600     | 0.0001        | -               |
| 0.8477  | 29650     | 0.0001        | -               |
| 0.8492  | 29700     | 0.0001        | -               |
| 0.8506  | 29750     | 0.0002        | -               |
| 0.8520  | 29800     | 0.0002        | -               |
| 0.8535  | 29850     | 0.0001        | -               |
| 0.8549  | 29900     | 0.0002        | -               |
| 0.8563  | 29950     | 0.0002        | -               |
| 0.8578  | 30000     | 0.0002        | -               |
| 0.8592  | 30050     | 0.0001        | -               |
| 0.8606  | 30100     | 0.0002        | -               |
| 0.8620  | 30150     | 0.0002        | -               |
| 0.8635  | 30200     | 0.0003        | -               |
| 0.8649  | 30250     | 0.0001        | -               |
| 0.8663  | 30300     | 0.0001        | -               |
| 0.8678  | 30350     | 0.0001        | -               |
| 0.8692  | 30400     | 0.0001        | -               |
| 0.8706  | 30450     | 0.0002        | -               |
| 0.8721  | 30500     | 0.0001        | -               |
| 0.8735  | 30550     | 0.0001        | -               |
| 0.8749  | 30600     | 0.0001        | -               |
| 0.8763  | 30650     | 0.0002        | -               |
| 0.8778  | 30700     | 0.0002        | -               |
| 0.8792  | 30750     | 0.0001        | -               |
| 0.8806  | 30800     | 0.0002        | -               |
| 0.8821  | 30850     | 0.0002        | -               |
| 0.8835  | 30900     | 0.0001        | -               |
| 0.8849  | 30950     | 0.0002        | -               |
| 0.8863  | 31000     | 0.0002        | -               |
| 0.8878  | 31050     | 0.0002        | -               |
| 0.8892  | 31100     | 0.0001        | -               |
| 0.8906  | 31150     | 0.0001        | -               |
| 0.8921  | 31200     | 0.0001        | -               |
| 0.8935  | 31250     | 0.0001        | -               |
| 0.8949  | 31300     | 0.0002        | -               |
| 0.8964  | 31350     | 0.0002        | -               |
| 0.8978  | 31400     | 0.0001        | -               |
| 0.8992  | 31450     | 0.0001        | -               |
| 0.9006  | 31500     | 0.0002        | -               |
| 0.9021  | 31550     | 0.0002        | -               |
| 0.9035  | 31600     | 0.0001        | -               |
| 0.9049  | 31650     | 0.0002        | -               |
| 0.9064  | 31700     | 0.0001        | -               |
| 0.9078  | 31750     | 0.0001        | -               |
| 0.9092  | 31800     | 0.0001        | -               |
| 0.9107  | 31850     | 0.0002        | -               |
| 0.9121  | 31900     | 0.0002        | -               |
| 0.9135  | 31950     | 0.0001        | -               |
| 0.9149  | 32000     | 0.0001        | -               |
| 0.9164  | 32050     | 0.0001        | -               |
| 0.9178  | 32100     | 0.0001        | -               |
| 0.9192  | 32150     | 0.0001        | -               |
| 0.9207  | 32200     | 0.0001        | -               |
| 0.9221  | 32250     | 0.0001        | -               |
| 0.9235  | 32300     | 0.0002        | -               |
| 0.9249  | 32350     | 0.0001        | -               |
| 0.9264  | 32400     | 0.0001        | -               |
| 0.9278  | 32450     | 0.0002        | -               |
| 0.9292  | 32500     | 0.0001        | -               |
| 0.9307  | 32550     | 0.0001        | -               |
| 0.9321  | 32600     | 0.0002        | -               |
| 0.9335  | 32650     | 0.0001        | -               |
| 0.9350  | 32700     | 0.0001        | -               |
| 0.9364  | 32750     | 0.0001        | -               |
| 0.9378  | 32800     | 0.0001        | -               |
| 0.9392  | 32850     | 0.0001        | -               |
| 0.9407  | 32900     | 0.0002        | -               |
| 0.9421  | 32950     | 0.0002        | -               |
| 0.9435  | 33000     | 0.0           | -               |
| 0.9450  | 33050     | 0.0001        | -               |
| 0.9464  | 33100     | 0.0001        | -               |
| 0.9478  | 33150     | 0.0001        | -               |
| 0.9492  | 33200     | 0.0001        | -               |
| 0.9507  | 33250     | 0.0001        | -               |
| 0.9521  | 33300     | 0.0001        | -               |
| 0.9535  | 33350     | 0.0002        | -               |
| 0.9550  | 33400     | 0.0001        | -               |
| 0.9564  | 33450     | 0.0001        | -               |
| 0.9578  | 33500     | 0.0002        | -               |
| 0.9593  | 33550     | 0.0001        | -               |
| 0.9607  | 33600     | 0.0001        | -               |
| 0.9621  | 33650     | 0.0002        | -               |
| 0.9635  | 33700     | 0.0002        | -               |
| 0.9650  | 33750     | 0.0001        | -               |
| 0.9664  | 33800     | 0.0001        | -               |
| 0.9678  | 33850     | 0.0001        | -               |
| 0.9693  | 33900     | 0.0001        | -               |
| 0.9707  | 33950     | 0.0           | -               |
| 0.9721  | 34000     | 0.0002        | -               |
| 0.9736  | 34050     | 0.0001        | -               |
| 0.9750  | 34100     | 0.0001        | -               |
| 0.9764  | 34150     | 0.0001        | -               |
| 0.9778  | 34200     | 0.0001        | -               |
| 0.9793  | 34250     | 0.0002        | -               |
| 0.9807  | 34300     | 0.0002        | -               |
| 0.9821  | 34350     | 0.0001        | -               |
| 0.9836  | 34400     | 0.0001        | -               |
| 0.9850  | 34450     | 0.0001        | -               |
| 0.9864  | 34500     | 0.0001        | -               |
| 0.9878  | 34550     | 0.0001        | -               |
| 0.9893  | 34600     | 0.0001        | -               |
| 0.9907  | 34650     | 0.0001        | -               |
| 0.9921  | 34700     | 0.0001        | -               |
| 0.9936  | 34750     | 0.0001        | -               |
| 0.9950  | 34800     | 0.0001        | -               |
| 0.9964  | 34850     | 0.0001        | -               |
| 0.9979  | 34900     | 0.0002        | -               |
| 0.9993  | 34950     | 0.0002        | -               |
| **1.0** | **34975** | **-**         | **0.0221**      |

* The bold row denotes the saved checkpoint.
### Framework Versions
- Python: 3.11.9
- SetFit: 1.0.3
- Sentence Transformers: 2.7.0
- Transformers: 4.42.4
- PyTorch: 2.4.0+cu121
- Datasets: 2.21.0
- 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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