
# 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:** 28 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)

## Evaluation

### Metrics
| Label   | Accuracy |
|:--------|:---------|
| **all** | 0.4411   |

## 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("kasparas12/crypto_individual_categories")
# Run inference
preds = model("fioscaneth  fiorescan Life is a garden Grow on it  Building ")
```

<!--
### 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   | 3   | 19.3735 | 40  |

| Label                 | Training Sample Count |
|:----------------------|:----------------------|
| DEVELOPMENT_AGENCY    | 0                     |
| MARKETING_AGENCY      | 50                    |
| INSTIUTIONAL_INVESTOR | 21                    |
| VENTURE_CAPITALIST    | 50                    |
| REGULATOR             | 50                    |
| GOVERNMENT            | 3                     |
| CENTRALIZED_EXCHANGE  | 13                    |
| DEFI                  | 50                    |
| NFT                   | 50                    |
| GAMEFI                | 50                    |
| GAMBLING              | 50                    |
| INFRASTRUCTURE        | 5                     |
| RWA                   | 50                    |
| TIPIN                 | 21                    |
| METAVERSE             | 50                    |
| LAYER_0               | 32                    |
| LAYER_1               | 9                     |
| LAYER_2               | 32                    |
| LAYER_3               | 38                    |
| MARKETPLACE           | 2                     |
| MEME_COIN             | 30                    |
| PAYMENT_PROVIDER      | 14                    |
| ADVISORY              | 50                    |
| RESEARCH_AGENCY       | 50                    |
| DAO                   | 50                    |
| CRYPTO_MEDIA          | 50                    |
| PODCAST               | 50                    |
| UNDETERMINED          | 2                     |

### Training Hyperparameters
- batch_size: (32, 32)
- 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: False

### Training Results
| Epoch  | Step  | Training Loss | Validation Loss |
|:------:|:-----:|:-------------:|:---------------:|
| 0.0000 | 1     | 0.2276        | -               |
| 0.0018 | 50    | 0.2439        | -               |
| 0.0035 | 100   | 0.2466        | -               |
| 0.0053 | 150   | 0.226         | -               |
| 0.0071 | 200   | 0.2321        | -               |
| 0.0089 | 250   | 0.2223        | -               |
| 0.0106 | 300   | 0.2312        | -               |
| 0.0124 | 350   | 0.2397        | -               |
| 0.0142 | 400   | 0.2165        | -               |
| 0.0160 | 450   | 0.2216        | -               |
| 0.0177 | 500   | 0.2296        | -               |
| 0.0195 | 550   | 0.2427        | -               |
| 0.0213 | 600   | 0.2256        | -               |
| 0.0231 | 650   | 0.2407        | -               |
| 0.0248 | 700   | 0.2           | -               |
| 0.0266 | 750   | 0.2143        | -               |
| 0.0284 | 800   | 0.1774        | -               |
| 0.0302 | 850   | 0.2221        | -               |
| 0.0319 | 900   | 0.169         | -               |
| 0.0337 | 950   | 0.1527        | -               |
| 0.0355 | 1000  | 0.1528        | -               |
| 0.0373 | 1050  | 0.1704        | -               |
| 0.0390 | 1100  | 0.1381        | -               |
| 0.0408 | 1150  | 0.1134        | -               |
| 0.0426 | 1200  | 0.1329        | -               |
| 0.0444 | 1250  | 0.1406        | -               |
| 0.0461 | 1300  | 0.1964        | -               |
| 0.0479 | 1350  | 0.2042        | -               |
| 0.0497 | 1400  | 0.1254        | -               |
| 0.0515 | 1450  | 0.1171        | -               |
| 0.0532 | 1500  | 0.1155        | -               |
| 0.0550 | 1550  | 0.0857        | -               |
| 0.0568 | 1600  | 0.1221        | -               |
| 0.0586 | 1650  | 0.1048        | -               |
| 0.0603 | 1700  | 0.0957        | -               |
| 0.0621 | 1750  | 0.0902        | -               |
| 0.0639 | 1800  | 0.0909        | -               |
| 0.0657 | 1850  | 0.0642        | -               |
| 0.0674 | 1900  | 0.1125        | -               |
| 0.0692 | 1950  | 0.0762        | -               |
| 0.0710 | 2000  | 0.0349        | -               |
| 0.0728 | 2050  | 0.0228        | -               |
| 0.0745 | 2100  | 0.0931        | -               |
| 0.0763 | 2150  | 0.0687        | -               |
| 0.0781 | 2200  | 0.041         | -               |
| 0.0799 | 2250  | 0.0545        | -               |
| 0.0816 | 2300  | 0.0738        | -               |
| 0.0834 | 2350  | 0.0688        | -               |
| 0.0852 | 2400  | 0.0499        | -               |
| 0.0870 | 2450  | 0.062         | -               |
| 0.0887 | 2500  | 0.0553        | -               |
| 0.0905 | 2550  | 0.0173        | -               |
| 0.0923 | 2600  | 0.0282        | -               |
| 0.0941 | 2650  | 0.0735        | -               |
| 0.0958 | 2700  | 0.076         | -               |
| 0.0976 | 2750  | 0.0596        | -               |
| 0.0994 | 2800  | 0.0194        | -               |
| 0.1012 | 2850  | 0.0152        | -               |
| 0.1029 | 2900  | 0.0224        | -               |
| 0.1047 | 2950  | 0.0249        | -               |
| 0.1065 | 3000  | 0.0345        | -               |
| 0.1083 | 3050  | 0.0438        | -               |
| 0.1100 | 3100  | 0.01          | -               |
| 0.1118 | 3150  | 0.0404        | -               |
| 0.1136 | 3200  | 0.0124        | -               |
| 0.1154 | 3250  | 0.0114        | -               |
| 0.1171 | 3300  | 0.0525        | -               |
| 0.1189 | 3350  | 0.0667        | -               |
| 0.1207 | 3400  | 0.0161        | -               |
| 0.1225 | 3450  | 0.014         | -               |
| 0.1242 | 3500  | 0.0097        | -               |
| 0.1260 | 3550  | 0.0148        | -               |
| 0.1278 | 3600  | 0.0604        | -               |
| 0.1296 | 3650  | 0.0066        | -               |
| 0.1313 | 3700  | 0.0201        | -               |
| 0.1331 | 3750  | 0.0108        | -               |
| 0.1349 | 3800  | 0.0668        | -               |
| 0.1367 | 3850  | 0.0039        | -               |
| 0.1384 | 3900  | 0.0321        | -               |
| 0.1402 | 3950  | 0.0039        | -               |
| 0.1420 | 4000  | 0.0048        | -               |
| 0.1438 | 4050  | 0.0075        | -               |
| 0.1455 | 4100  | 0.0052        | -               |
| 0.1473 | 4150  | 0.0064        | -               |
| 0.1491 | 4200  | 0.0278        | -               |
| 0.1509 | 4250  | 0.0034        | -               |
| 0.1526 | 4300  | 0.0038        | -               |
| 0.1544 | 4350  | 0.0263        | -               |
| 0.1562 | 4400  | 0.0326        | -               |
| 0.1580 | 4450  | 0.0238        | -               |
| 0.1597 | 4500  | 0.0031        | -               |
| 0.1615 | 4550  | 0.0087        | -               |
| 0.1633 | 4600  | 0.04          | -               |
| 0.1651 | 4650  | 0.0052        | -               |
| 0.1668 | 4700  | 0.0044        | -               |
| 0.1686 | 4750  | 0.03          | -               |
| 0.1704 | 4800  | 0.0075        | -               |
| 0.1722 | 4850  | 0.004         | -               |
| 0.1739 | 4900  | 0.003         | -               |
| 0.1757 | 4950  | 0.0038        | -               |
| 0.1775 | 5000  | 0.004         | -               |
| 0.1792 | 5050  | 0.0494        | -               |
| 0.1810 | 5100  | 0.0165        | -               |
| 0.1828 | 5150  | 0.0089        | -               |
| 0.1846 | 5200  | 0.0149        | -               |
| 0.1863 | 5250  | 0.0033        | -               |
| 0.1881 | 5300  | 0.0034        | -               |
| 0.1899 | 5350  | 0.0043        | -               |
| 0.1917 | 5400  | 0.0056        | -               |
| 0.1934 | 5450  | 0.0306        | -               |
| 0.1952 | 5500  | 0.003         | -               |
| 0.1970 | 5550  | 0.0086        | -               |
| 0.1988 | 5600  | 0.0123        | -               |
| 0.2005 | 5650  | 0.0045        | -               |
| 0.2023 | 5700  | 0.005         | -               |
| 0.2041 | 5750  | 0.0084        | -               |
| 0.2059 | 5800  | 0.0025        | -               |
| 0.2076 | 5850  | 0.0031        | -               |
| 0.2094 | 5900  | 0.0043        | -               |
| 0.2112 | 5950  | 0.0034        | -               |
| 0.2130 | 6000  | 0.0306        | -               |
| 0.2147 | 6050  | 0.0068        | -               |
| 0.2165 | 6100  | 0.0051        | -               |
| 0.2183 | 6150  | 0.0035        | -               |
| 0.2201 | 6200  | 0.0032        | -               |
| 0.2218 | 6250  | 0.0033        | -               |
| 0.2236 | 6300  | 0.0047        | -               |
| 0.2254 | 6350  | 0.0027        | -               |
| 0.2272 | 6400  | 0.003         | -               |
| 0.2289 | 6450  | 0.0026        | -               |
| 0.2307 | 6500  | 0.0026        | -               |
| 0.2325 | 6550  | 0.0023        | -               |
| 0.2343 | 6600  | 0.0246        | -               |
| 0.2360 | 6650  | 0.0021        | -               |
| 0.2378 | 6700  | 0.0033        | -               |
| 0.2396 | 6750  | 0.0021        | -               |
| 0.2414 | 6800  | 0.0018        | -               |
| 0.2431 | 6850  | 0.0022        | -               |
| 0.2449 | 6900  | 0.0028        | -               |
| 0.2467 | 6950  | 0.0029        | -               |
| 0.2485 | 7000  | 0.0019        | -               |
| 0.2502 | 7050  | 0.0043        | -               |
| 0.2520 | 7100  | 0.0024        | -               |
| 0.2538 | 7150  | 0.0019        | -               |
| 0.2556 | 7200  | 0.0018        | -               |
| 0.2573 | 7250  | 0.0021        | -               |
| 0.2591 | 7300  | 0.0025        | -               |
| 0.2609 | 7350  | 0.0016        | -               |
| 0.2627 | 7400  | 0.0021        | -               |
| 0.2644 | 7450  | 0.049         | -               |
| 0.2662 | 7500  | 0.002         | -               |
| 0.2680 | 7550  | 0.0025        | -               |
| 0.2698 | 7600  | 0.0015        | -               |
| 0.2715 | 7650  | 0.0016        | -               |
| 0.2733 | 7700  | 0.0015        | -               |
| 0.2751 | 7750  | 0.0016        | -               |
| 0.2769 | 7800  | 0.0016        | -               |
| 0.2786 | 7850  | 0.0017        | -               |
| 0.2804 | 7900  | 0.0013        | -               |
| 0.2822 | 7950  | 0.0014        | -               |
| 0.2840 | 8000  | 0.0026        | -               |
| 0.2857 | 8050  | 0.0012        | -               |
| 0.2875 | 8100  | 0.0312        | -               |
| 0.2893 | 8150  | 0.0013        | -               |
| 0.2911 | 8200  | 0.0019        | -               |
| 0.2928 | 8250  | 0.0017        | -               |
| 0.2946 | 8300  | 0.0012        | -               |
| 0.2964 | 8350  | 0.0016        | -               |
| 0.2982 | 8400  | 0.0013        | -               |
| 0.2999 | 8450  | 0.0017        | -               |
| 0.3017 | 8500  | 0.0014        | -               |
| 0.3035 | 8550  | 0.002         | -               |
| 0.3053 | 8600  | 0.0018        | -               |
| 0.3070 | 8650  | 0.0013        | -               |
| 0.3088 | 8700  | 0.0033        | -               |
| 0.3106 | 8750  | 0.0012        | -               |
| 0.3124 | 8800  | 0.0013        | -               |
| 0.3141 | 8850  | 0.0013        | -               |
| 0.3159 | 8900  | 0.0012        | -               |
| 0.3177 | 8950  | 0.0016        | -               |
| 0.3195 | 9000  | 0.0302        | -               |
| 0.3212 | 9050  | 0.0018        | -               |
| 0.3230 | 9100  | 0.0009        | -               |
| 0.3248 | 9150  | 0.0013        | -               |
| 0.3266 | 9200  | 0.0011        | -               |
| 0.3283 | 9250  | 0.0015        | -               |
| 0.3301 | 9300  | 0.0013        | -               |
| 0.3319 | 9350  | 0.0009        | -               |
| 0.3337 | 9400  | 0.001         | -               |
| 0.3354 | 9450  | 0.001         | -               |
| 0.3372 | 9500  | 0.0012        | -               |
| 0.3390 | 9550  | 0.0012        | -               |
| 0.3408 | 9600  | 0.001         | -               |
| 0.3425 | 9650  | 0.0017        | -               |
| 0.3443 | 9700  | 0.0274        | -               |
| 0.3461 | 9750  | 0.001         | -               |
| 0.3479 | 9800  | 0.0011        | -               |
| 0.3496 | 9850  | 0.0267        | -               |
| 0.3514 | 9900  | 0.0013        | -               |
| 0.3532 | 9950  | 0.0011        | -               |
| 0.3549 | 10000 | 0.002         | -               |
| 0.3567 | 10050 | 0.0014        | -               |
| 0.3585 | 10100 | 0.001         | -               |
| 0.3603 | 10150 | 0.0013        | -               |
| 0.3620 | 10200 | 0.0013        | -               |
| 0.3638 | 10250 | 0.0012        | -               |
| 0.3656 | 10300 | 0.0013        | -               |
| 0.3674 | 10350 | 0.0179        | -               |
| 0.3691 | 10400 | 0.0267        | -               |
| 0.3709 | 10450 | 0.0017        | -               |
| 0.3727 | 10500 | 0.0013        | -               |
| 0.3745 | 10550 | 0.0012        | -               |
| 0.3762 | 10600 | 0.0011        | -               |
| 0.3780 | 10650 | 0.0028        | -               |
| 0.3798 | 10700 | 0.0009        | -               |
| 0.3816 | 10750 | 0.0021        | -               |
| 0.3833 | 10800 | 0.0015        | -               |
| 0.3851 | 10850 | 0.002         | -               |
| 0.3869 | 10900 | 0.0011        | -               |
| 0.3887 | 10950 | 0.0009        | -               |
| 0.3904 | 11000 | 0.001         | -               |
| 0.3922 | 11050 | 0.0013        | -               |
| 0.3940 | 11100 | 0.0009        | -               |
| 0.3958 | 11150 | 0.0255        | -               |
| 0.3975 | 11200 | 0.001         | -               |
| 0.3993 | 11250 | 0.0013        | -               |
| 0.4011 | 11300 | 0.0011        | -               |
| 0.4029 | 11350 | 0.0012        | -               |
| 0.4046 | 11400 | 0.0007        | -               |
| 0.4064 | 11450 | 0.001         | -               |
| 0.4082 | 11500 | 0.0009        | -               |
| 0.4100 | 11550 | 0.0009        | -               |
| 0.4117 | 11600 | 0.001         | -               |
| 0.4135 | 11650 | 0.0016        | -               |
| 0.4153 | 11700 | 0.001         | -               |
| 0.4171 | 11750 | 0.0009        | -               |
| 0.4188 | 11800 | 0.001         | -               |
| 0.4206 | 11850 | 0.0008        | -               |
| 0.4224 | 11900 | 0.0009        | -               |
| 0.4242 | 11950 | 0.0007        | -               |
| 0.4259 | 12000 | 0.0009        | -               |
| 0.4277 | 12050 | 0.0009        | -               |
| 0.4295 | 12100 | 0.001         | -               |
| 0.4313 | 12150 | 0.001         | -               |
| 0.4330 | 12200 | 0.0009        | -               |
| 0.4348 | 12250 | 0.0009        | -               |
| 0.4366 | 12300 | 0.0012        | -               |
| 0.4384 | 12350 | 0.0008        | -               |
| 0.4401 | 12400 | 0.0008        | -               |
| 0.4419 | 12450 | 0.001         | -               |
| 0.4437 | 12500 | 0.0011        | -               |
| 0.4455 | 12550 | 0.0009        | -               |
| 0.4472 | 12600 | 0.0009        | -               |
| 0.4490 | 12650 | 0.0007        | -               |
| 0.4508 | 12700 | 0.0009        | -               |
| 0.4526 | 12750 | 0.0011        | -               |
| 0.4543 | 12800 | 0.0098        | -               |
| 0.4561 | 12850 | 0.0007        | -               |
| 0.4579 | 12900 | 0.0009        | -               |
| 0.4597 | 12950 | 0.0006        | -               |
| 0.4614 | 13000 | 0.0008        | -               |
| 0.4632 | 13050 | 0.0012        | -               |
| 0.4650 | 13100 | 0.0008        | -               |
| 0.4668 | 13150 | 0.0008        | -               |
| 0.4685 | 13200 | 0.0008        | -               |
| 0.4703 | 13250 | 0.0009        | -               |
| 0.4721 | 13300 | 0.0007        | -               |
| 0.4739 | 13350 | 0.0008        | -               |
| 0.4756 | 13400 | 0.0011        | -               |
| 0.4774 | 13450 | 0.0009        | -               |
| 0.4792 | 13500 | 0.0008        | -               |
| 0.4810 | 13550 | 0.0006        | -               |
| 0.4827 | 13600 | 0.0008        | -               |
| 0.4845 | 13650 | 0.0008        | -               |
| 0.4863 | 13700 | 0.0006        | -               |
| 0.4881 | 13750 | 0.001         | -               |
| 0.4898 | 13800 | 0.0007        | -               |
| 0.4916 | 13850 | 0.0007        | -               |
| 0.4934 | 13900 | 0.001         | -               |
| 0.4952 | 13950 | 0.0008        | -               |
| 0.4969 | 14000 | 0.0008        | -               |
| 0.4987 | 14050 | 0.0007        | -               |
| 0.5005 | 14100 | 0.0007        | -               |
| 0.5023 | 14150 | 0.0007        | -               |
| 0.5040 | 14200 | 0.0008        | -               |
| 0.5058 | 14250 | 0.0008        | -               |
| 0.5076 | 14300 | 0.0007        | -               |
| 0.5094 | 14350 | 0.0007        | -               |
| 0.5111 | 14400 | 0.0007        | -               |
| 0.5129 | 14450 | 0.0007        | -               |
| 0.5147 | 14500 | 0.0007        | -               |
| 0.5165 | 14550 | 0.0281        | -               |
| 0.5182 | 14600 | 0.0007        | -               |
| 0.5200 | 14650 | 0.0009        | -               |
| 0.5218 | 14700 | 0.0008        | -               |
| 0.5236 | 14750 | 0.0009        | -               |
| 0.5253 | 14800 | 0.0006        | -               |
| 0.5271 | 14850 | 0.0007        | -               |
| 0.5289 | 14900 | 0.0007        | -               |
| 0.5306 | 14950 | 0.001         | -               |
| 0.5324 | 15000 | 0.0006        | -               |
| 0.5342 | 15050 | 0.0007        | -               |
| 0.5360 | 15100 | 0.0008        | -               |
| 0.5377 | 15150 | 0.0008        | -               |
| 0.5395 | 15200 | 0.0011        | -               |
| 0.5413 | 15250 | 0.0007        | -               |
| 0.5431 | 15300 | 0.0006        | -               |
| 0.5448 | 15350 | 0.0009        | -               |
| 0.5466 | 15400 | 0.0006        | -               |
| 0.5484 | 15450 | 0.0007        | -               |
| 0.5502 | 15500 | 0.0007        | -               |
| 0.5519 | 15550 | 0.0007        | -               |
| 0.5537 | 15600 | 0.0008        | -               |
| 0.5555 | 15650 | 0.001         | -               |
| 0.5573 | 15700 | 0.0007        | -               |
| 0.5590 | 15750 | 0.0006        | -               |
| 0.5608 | 15800 | 0.0006        | -               |
| 0.5626 | 15850 | 0.0007        | -               |
| 0.5644 | 15900 | 0.0006        | -               |
| 0.5661 | 15950 | 0.0005        | -               |
| 0.5679 | 16000 | 0.0007        | -               |
| 0.5697 | 16050 | 0.0006        | -               |
| 0.5715 | 16100 | 0.0006        | -               |
| 0.5732 | 16150 | 0.0006        | -               |
| 0.5750 | 16200 | 0.0005        | -               |
| 0.5768 | 16250 | 0.0007        | -               |
| 0.5786 | 16300 | 0.0006        | -               |
| 0.5803 | 16350 | 0.0006        | -               |
| 0.5821 | 16400 | 0.0006        | -               |
| 0.5839 | 16450 | 0.0008        | -               |
| 0.5857 | 16500 | 0.0006        | -               |
| 0.5874 | 16550 | 0.0012        | -               |
| 0.5892 | 16600 | 0.0006        | -               |
| 0.5910 | 16650 | 0.0007        | -               |
| 0.5928 | 16700 | 0.0008        | -               |
| 0.5945 | 16750 | 0.0005        | -               |
| 0.5963 | 16800 | 0.0006        | -               |
| 0.5981 | 16850 | 0.001         | -               |
| 0.5999 | 16900 | 0.0005        | -               |
| 0.6016 | 16950 | 0.0007        | -               |
| 0.6034 | 17000 | 0.0009        | -               |
| 0.6052 | 17050 | 0.0007        | -               |
| 0.6070 | 17100 | 0.0006        | -               |
| 0.6087 | 17150 | 0.0006        | -               |
| 0.6105 | 17200 | 0.0006        | -               |
| 0.6123 | 17250 | 0.0005        | -               |
| 0.6141 | 17300 | 0.0007        | -               |
| 0.6158 | 17350 | 0.0006        | -               |
| 0.6176 | 17400 | 0.0006        | -               |
| 0.6194 | 17450 | 0.0007        | -               |
| 0.6212 | 17500 | 0.001         | -               |
| 0.6229 | 17550 | 0.0006        | -               |
| 0.6247 | 17600 | 0.0008        | -               |
| 0.6265 | 17650 | 0.0006        | -               |
| 0.6283 | 17700 | 0.0006        | -               |
| 0.6300 | 17750 | 0.0006        | -               |
| 0.6318 | 17800 | 0.0008        | -               |
| 0.6336 | 17850 | 0.0006        | -               |
| 0.6354 | 17900 | 0.0007        | -               |
| 0.6371 | 17950 | 0.0006        | -               |
| 0.6389 | 18000 | 0.0007        | -               |
| 0.6407 | 18050 | 0.0006        | -               |
| 0.6425 | 18100 | 0.0006        | -               |
| 0.6442 | 18150 | 0.0007        | -               |
| 0.6460 | 18200 | 0.0006        | -               |
| 0.6478 | 18250 | 0.0008        | -               |
| 0.6496 | 18300 | 0.0006        | -               |
| 0.6513 | 18350 | 0.0006        | -               |
| 0.6531 | 18400 | 0.0006        | -               |
| 0.6549 | 18450 | 0.0007        | -               |
| 0.6567 | 18500 | 0.0006        | -               |
| 0.6584 | 18550 | 0.0006        | -               |
| 0.6602 | 18600 | 0.0007        | -               |
| 0.6620 | 18650 | 0.0005        | -               |
| 0.6638 | 18700 | 0.0008        | -               |
| 0.6655 | 18750 | 0.0005        | -               |
| 0.6673 | 18800 | 0.0005        | -               |
| 0.6691 | 18850 | 0.001         | -               |
| 0.6709 | 18900 | 0.0008        | -               |
| 0.6726 | 18950 | 0.0006        | -               |
| 0.6744 | 19000 | 0.0007        | -               |
| 0.6762 | 19050 | 0.0007        | -               |
| 0.6780 | 19100 | 0.0006        | -               |
| 0.6797 | 19150 | 0.0006        | -               |
| 0.6815 | 19200 | 0.0006        | -               |
| 0.6833 | 19250 | 0.0006        | -               |
| 0.6851 | 19300 | 0.0005        | -               |
| 0.6868 | 19350 | 0.0005        | -               |
| 0.6886 | 19400 | 0.0005        | -               |
| 0.6904 | 19450 | 0.0024        | -               |
| 0.6922 | 19500 | 0.0007        | -               |
| 0.6939 | 19550 | 0.0007        | -               |
| 0.6957 | 19600 | 0.0009        | -               |
| 0.6975 | 19650 | 0.0006        | -               |
| 0.6993 | 19700 | 0.0006        | -               |
| 0.7010 | 19750 | 0.0006        | -               |
| 0.7028 | 19800 | 0.0006        | -               |
| 0.7046 | 19850 | 0.0006        | -               |
| 0.7064 | 19900 | 0.0007        | -               |
| 0.7081 | 19950 | 0.0006        | -               |
| 0.7099 | 20000 | 0.0006        | -               |
| 0.7117 | 20050 | 0.0006        | -               |
| 0.7134 | 20100 | 0.0005        | -               |
| 0.7152 | 20150 | 0.0102        | -               |
| 0.7170 | 20200 | 0.0006        | -               |
| 0.7188 | 20250 | 0.0005        | -               |
| 0.7205 | 20300 | 0.0005        | -               |
| 0.7223 | 20350 | 0.0005        | -               |
| 0.7241 | 20400 | 0.0008        | -               |
| 0.7259 | 20450 | 0.0007        | -               |
| 0.7276 | 20500 | 0.0007        | -               |
| 0.7294 | 20550 | 0.0005        | -               |
| 0.7312 | 20600 | 0.0005        | -               |
| 0.7330 | 20650 | 0.0006        | -               |
| 0.7347 | 20700 | 0.0007        | -               |
| 0.7365 | 20750 | 0.0006        | -               |
| 0.7383 | 20800 | 0.0005        | -               |
| 0.7401 | 20850 | 0.0006        | -               |
| 0.7418 | 20900 | 0.0006        | -               |
| 0.7436 | 20950 | 0.0007        | -               |
| 0.7454 | 21000 | 0.0005        | -               |
| 0.7472 | 21050 | 0.0008        | -               |
| 0.7489 | 21100 | 0.0006        | -               |
| 0.7507 | 21150 | 0.0007        | -               |
| 0.7525 | 21200 | 0.0005        | -               |
| 0.7543 | 21250 | 0.0006        | -               |
| 0.7560 | 21300 | 0.0005        | -               |
| 0.7578 | 21350 | 0.0004        | -               |
| 0.7596 | 21400 | 0.0006        | -               |
| 0.7614 | 21450 | 0.0005        | -               |
| 0.7631 | 21500 | 0.0007        | -               |
| 0.7649 | 21550 | 0.0004        | -               |
| 0.7667 | 21600 | 0.0004        | -               |
| 0.7685 | 21650 | 0.0007        | -               |
| 0.7702 | 21700 | 0.0007        | -               |
| 0.7720 | 21750 | 0.0006        | -               |
| 0.7738 | 21800 | 0.0007        | -               |
| 0.7756 | 21850 | 0.0006        | -               |
| 0.7773 | 21900 | 0.0011        | -               |
| 0.7791 | 21950 | 0.0004        | -               |
| 0.7809 | 22000 | 0.0006        | -               |
| 0.7827 | 22050 | 0.0005        | -               |
| 0.7844 | 22100 | 0.0006        | -               |
| 0.7862 | 22150 | 0.0006        | -               |
| 0.7880 | 22200 | 0.0007        | -               |
| 0.7898 | 22250 | 0.0005        | -               |
| 0.7915 | 22300 | 0.0006        | -               |
| 0.7933 | 22350 | 0.0005        | -               |
| 0.7951 | 22400 | 0.0007        | -               |
| 0.7969 | 22450 | 0.0007        | -               |
| 0.7986 | 22500 | 0.0005        | -               |
| 0.8004 | 22550 | 0.0006        | -               |
| 0.8022 | 22600 | 0.0006        | -               |
| 0.8040 | 22650 | 0.0006        | -               |
| 0.8057 | 22700 | 0.0006        | -               |
| 0.8075 | 22750 | 0.0006        | -               |
| 0.8093 | 22800 | 0.0006        | -               |
| 0.8111 | 22850 | 0.0005        | -               |
| 0.8128 | 22900 | 0.0005        | -               |
| 0.8146 | 22950 | 0.0006        | -               |
| 0.8164 | 23000 | 0.0006        | -               |
| 0.8182 | 23050 | 0.0005        | -               |
| 0.8199 | 23100 | 0.0006        | -               |
| 0.8217 | 23150 | 0.0005        | -               |
| 0.8235 | 23200 | 0.0005        | -               |
| 0.8253 | 23250 | 0.0005        | -               |
| 0.8270 | 23300 | 0.0006        | -               |
| 0.8288 | 23350 | 0.0005        | -               |
| 0.8306 | 23400 | 0.0006        | -               |
| 0.8324 | 23450 | 0.0006        | -               |
| 0.8341 | 23500 | 0.0005        | -               |
| 0.8359 | 23550 | 0.0005        | -               |
| 0.8377 | 23600 | 0.0006        | -               |
| 0.8395 | 23650 | 0.0005        | -               |
| 0.8412 | 23700 | 0.0005        | -               |
| 0.8430 | 23750 | 0.0006        | -               |
| 0.8448 | 23800 | 0.0005        | -               |
| 0.8466 | 23850 | 0.0006        | -               |
| 0.8483 | 23900 | 0.0007        | -               |
| 0.8501 | 23950 | 0.0006        | -               |
| 0.8519 | 24000 | 0.0005        | -               |
| 0.8537 | 24050 | 0.0005        | -               |
| 0.8554 | 24100 | 0.0005        | -               |
| 0.8572 | 24150 | 0.0007        | -               |
| 0.8590 | 24200 | 0.0006        | -               |
| 0.8608 | 24250 | 0.0006        | -               |
| 0.8625 | 24300 | 0.0005        | -               |
| 0.8643 | 24350 | 0.0005        | -               |
| 0.8661 | 24400 | 0.0006        | -               |
| 0.8679 | 24450 | 0.0004        | -               |
| 0.8696 | 24500 | 0.0004        | -               |
| 0.8714 | 24550 | 0.0005        | -               |
| 0.8732 | 24600 | 0.0005        | -               |
| 0.8750 | 24650 | 0.0006        | -               |
| 0.8767 | 24700 | 0.0005        | -               |
| 0.8785 | 24750 | 0.0005        | -               |
| 0.8803 | 24800 | 0.0005        | -               |
| 0.8821 | 24850 | 0.0004        | -               |
| 0.8838 | 24900 | 0.0007        | -               |
| 0.8856 | 24950 | 0.0006        | -               |
| 0.8874 | 25000 | 0.0006        | -               |
| 0.8891 | 25050 | 0.0005        | -               |
| 0.8909 | 25100 | 0.0006        | -               |
| 0.8927 | 25150 | 0.0005        | -               |
| 0.8945 | 25200 | 0.0005        | -               |
| 0.8962 | 25250 | 0.0005        | -               |
| 0.8980 | 25300 | 0.0007        | -               |
| 0.8998 | 25350 | 0.0007        | -               |
| 0.9016 | 25400 | 0.0005        | -               |
| 0.9033 | 25450 | 0.0005        | -               |
| 0.9051 | 25500 | 0.0007        | -               |
| 0.9069 | 25550 | 0.0004        | -               |
| 0.9087 | 25600 | 0.0005        | -               |
| 0.9104 | 25650 | 0.0005        | -               |
| 0.9122 | 25700 | 0.0005        | -               |
| 0.9140 | 25750 | 0.0005        | -               |
| 0.9158 | 25800 | 0.0005        | -               |
| 0.9175 | 25850 | 0.0006        | -               |
| 0.9193 | 25900 | 0.0006        | -               |
| 0.9211 | 25950 | 0.0004        | -               |
| 0.9229 | 26000 | 0.0005        | -               |
| 0.9246 | 26050 | 0.0006        | -               |
| 0.9264 | 26100 | 0.0006        | -               |
| 0.9282 | 26150 | 0.0007        | -               |
| 0.9300 | 26200 | 0.0005        | -               |
| 0.9317 | 26250 | 0.0005        | -               |
| 0.9335 | 26300 | 0.0006        | -               |
| 0.9353 | 26350 | 0.0005        | -               |
| 0.9371 | 26400 | 0.0006        | -               |
| 0.9388 | 26450 | 0.0006        | -               |
| 0.9406 | 26500 | 0.0005        | -               |
| 0.9424 | 26550 | 0.0005        | -               |
| 0.9442 | 26600 | 0.0005        | -               |
| 0.9459 | 26650 | 0.0005        | -               |
| 0.9477 | 26700 | 0.0006        | -               |
| 0.9495 | 26750 | 0.0005        | -               |
| 0.9513 | 26800 | 0.0005        | -               |
| 0.9530 | 26850 | 0.0005        | -               |
| 0.9548 | 26900 | 0.0005        | -               |
| 0.9566 | 26950 | 0.0005        | -               |
| 0.9584 | 27000 | 0.0005        | -               |
| 0.9601 | 27050 | 0.0005        | -               |
| 0.9619 | 27100 | 0.0005        | -               |
| 0.9637 | 27150 | 0.0006        | -               |
| 0.9655 | 27200 | 0.0008        | -               |
| 0.9672 | 27250 | 0.0005        | -               |
| 0.9690 | 27300 | 0.0004        | -               |
| 0.9708 | 27350 | 0.0005        | -               |
| 0.9726 | 27400 | 0.0005        | -               |
| 0.9743 | 27450 | 0.0006        | -               |
| 0.9761 | 27500 | 0.0005        | -               |
| 0.9779 | 27550 | 0.0006        | -               |
| 0.9797 | 27600 | 0.0005        | -               |
| 0.9814 | 27650 | 0.0004        | -               |
| 0.9832 | 27700 | 0.0005        | -               |
| 0.9850 | 27750 | 0.0006        | -               |
| 0.9868 | 27800 | 0.0005        | -               |
| 0.9885 | 27850 | 0.0005        | -               |
| 0.9903 | 27900 | 0.0006        | -               |
| 0.9921 | 27950 | 0.0006        | -               |
| 0.9939 | 28000 | 0.0006        | -               |
| 0.9956 | 28050 | 0.0005        | -               |
| 0.9974 | 28100 | 0.0005        | -               |
| 0.9992 | 28150 | 0.0004        | -               |

### Framework Versions
- Python: 3.9.16
- SetFit: 1.0.3
- Sentence Transformers: 2.2.2
- Transformers: 4.21.3
- PyTorch: 1.12.1+cu116
- Datasets: 2.4.0
- Tokenizers: 0.12.1

## 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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{"library_name": "setfit", "tags": ["setfit", "sentence-transformers", "text-classification", "generated_from_setfit_trainer"], "metrics": ["accuracy"], "widget": [{"text": "fioscaneth  fiorescan Life is a garden Grow on it  Building "}, {"text": "Michael Burry Archive burryarchive copy trade burry Archive of tweets Stock tracker "}, {"text": "Forkast News forkast_news Hong Kong Covering stories of blockchain and emerging technology at the intersection of business economy and politics From Asia to the world"}, {"text": "Chads  chadswtf wwwchadswtf The baddest algorithmically generated motherfuckers on  We are dedicated to promoting the CHAD ethos and building better tools for memes"}, {"text": "The Sapien Nation sapien_network Metaverse weus Committed to Change  Collective Action Founding the Worlds First Digital Nation Join the Journey  "}], "pipeline_tag": "text-classification", "inference": true, "base_model": "BAAI/bge-small-en-v1.5", "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": 0.44110854503464203, "name": "Accuracy"}]}]}]}
setfit pytorch bert sentence-transformers text-classification generated_from_setfit_trainer arxiv:2209.11055 base_model:BAAI/bge-small-en-v1.5 model-index region:us