---
tags:
- setfit
- sentence-transformers
- text-classification
- generated_from_setfit_trainer
widget:
- text: Now let us conceive a particular volition, namely, the mode of thinking whereby
    the mind affirms, that the three interior angles of a triangle are equal to two
    right angles.
- text: If we know beforehand what this state of affairs is, our desire is conscious;
    if not, unconscious.
- text: 'The salvation of the soul in plain English: the world revolves around me.'
- text: Masculine myths find their most seductive incarnation in the hetaera; more
    than any other woman, she is flesh and consciousness, idol, inspiration, muse;
    painters and sculptors want her as their model; she will nourish poets' dreams;
    it is in her that the intellectual will explore the treasures of feminine 'intuition';
    she is more readily intelligent than the matron, because she is less set in hypocrisy.
- text: " Since 2004, the Mandiant name has represented unparalleled security expertise,\
    \ earning the trust of cyber security professionals and company executives across\
    \ the world. By joining this unparalleled frontline experience with our industry\
    \ leading, nation-state grade threat intelligence and innovative technology, we\
    \ have ensured that FireEye knows more about current advanced threats than anyone.\
    \ Today the world looks a lot different than it did in 2004. The cyber security\
    \ industry has expanded (some might say exploded), but through all this change,\
    \ one thing has remained the same: there is no substitute for world-class expertise\
    \ and intelligence. With that in mind, we’ve continued to push the boundaries\
    \ of innovation by expanding our expertise- and intelligence-backed solutions\
    \ to stay ahead of market needs. Each is considered the gold standard in its respective\
    \ space. These solutions include Mandiant Consulting, Mandiant Managed Defense,\
    \ FireEye Threat Intelligence, FireEye Expertise On Demand, and Verodin Security\
    \ Validation. Now, to streamline options and simplify the process of identifying\
    \ solutions our customers need to proactively combat cyber threats, we are renaming\
    \ our expertise- and intelligence-backed solutions to Mandiant, under the collective\
    \ term Mandiant Solutions. The renaming of our solutions does not change pricing,\
    \ content, or delivery today. Current subscribers of these services will continue\
    \ to receive the same unparalleled frontline expertise they have come to rely\
    \ on. As we move forward, the goal of Mandiant Solutions is to deliver synergies\
    \ between these solutions to help customers improve security effectiveness by\
    \ automating the security operations center and augmenting their security teams\
    \ with Mandiant expertise and intelligence, regardless of the SIEM and security\
    \ technology they have deployed.  Our Mandiant Solutions portfolio will include:\
    \ Each of these offerings combines our technologies, intelligence and expertise,\
    \ helping organizations meet evolving security challenges. Customers can be confident\
    \ that Mandiant Solutions are backed by the industry’s best expertise and informed\
    \ by the best threat intelligence available today.   For example, following the\
    \ acquisition of Verodin last year, we’ve been actively integrating our market-leading\
    \ threat intelligence with the industry’s most comprehensive security validation\
    \ platform, now known as Mandiant Security Validation. This represents a significant\
    \ benefit to our customers who can test and validate their organization’s readiness\
    \ against the very latest techniques employed by today’s threat actors. Of course,\
    \ our suite of enterprise solutions (FireEye Helix, Endpoint, Network, and Email\
    \ Security) also benefits from and enhances this wealth of frontline expertise\
    \ through our unique Innovation Cycle. It ensures that our products and services\
    \ are able to learn and adapt to new threats faster and better than anyone.  As\
    \ we look to the future, our vision is to continue to integrate these capabilities\
    \ through a seamless, modern platform that accelerates our customers’ ability\
    \ to measurably improve the people, processes, and technology they need to protect\
    \ their critical assets.  Stay tuned for more updates as we rollout our renaming!\t\
    \tSince 2004, the Mandiant name has represented unparalleled security expertise,\
    \ earning the trust of cyber security professionals and company executives across\
    \ the world. By joining this unparalleled frontline experience with our industry\
    \ leading, nation-state grade threat intelligence and innovative technology, we\
    \ have ensured that FireEye knows more about current advanced threats than anyone.Today\
    \ the world looks a lot different than it did in 2004. The cyber security industry\
    \ has expanded (some might say exploded), but through all this change, one thing\
    \ has remained the same: there is no substitute for world-class expertise and\
    \ intelligence.With that in mind, we’ve continued to push the boundaries of innovation\
    \ by expanding our expertise- and intelligence-backed solutions to stay ahead\
    \ of market needs. Each is considered the gold standard in its respective space.\
    \ These solutions include Mandiant Consulting, Mandiant Managed Defense, FireEye\
    \ Threat Intelligence, FireEye Expertise On Demand, and Verodin Security Validation.Now,\
    \ to streamline options and simplify the process of identifying solutions our\
    \ customers need to proactively combat cyber threats, we are renaming our expertise-\
    \ and intelligence-backed solutions to Mandiant, under the collective term Mandiant\
    \ Solutions.The renaming of our solutions does not change pricing, content, or\
    \ delivery today. Current subscribers of these services will continue to receive\
    \ the same unparalleled frontline expertise they have come to rely on.As we move\
    \ forward, the goal of Mandiant Solutions is to deliver synergies between these\
    \ solutions to help customers improve security effectiveness by automating the\
    \ security operations center and augmenting their security teams with Mandiant\
    \ expertise and intelligence, regardless of the SIEM and security technology they\
    \ have deployed. Our Mandiant Solutions portfolio will include:Mandiant ConsultingMandiant\
    \ Managed DefenseMandiant Threat IntelligenceMandiant Expertise On DemandMandiant\
    \ Security Validation (formerly Verodin)Each of these offerings combines our technologies,\
    \ intelligence and expertise, helping organizations meet evolving security challenges.\
    \ Customers can be confident that Mandiant Solutions are backed by the industry’s\
    \ best expertise and informed by the best threat intelligence available today.  For\
    \ example, following the acquisition of Verodin last year, we’ve been actively\
    \ integrating our market-leading threat intelligence with the industry’s most\
    \ comprehensive security validation platform, now known as Mandiant Security Validation.\
    \ This represents a significant benefit to our customers who can test and validate\
    \ their organization’s readiness against the very latest techniques employed by\
    \ today’s threat actors.Of course, our suite of enterprise solutions (FireEye\
    \ Helix, Endpoint, Network, and Email Security) also benefits from and enhances\
    \ this wealth of frontline expertise through our unique Innovation Cycle. It ensures\
    \ that our products and services are able to learn and adapt to new threats faster\
    \ and better than anyone. As we look to the future, our vision is to continue\
    \ to integrate these capabilities through a seamless, modern platform that accelerates\
    \ our customers’ ability to measurably improve the people, processes, and technology\
    \ they need to protect their critical assets. Stay tuned for more updates as we\
    \ rollout our renaming!"
metrics:
- accuracy
pipeline_tag: text-classification
library_name: setfit
inference: true
base_model: BAAI/bge-base-en-v1.5
---

# SetFit with BAAI/bge-base-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-base-en-v1.5](https://huggingface.co/BAAI/bge-base-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-base-en-v1.5](https://huggingface.co/BAAI/bge-base-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:** 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                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                       |
|:-------------|:-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| cybersec     | <ul><li>"cracking this password?. http://postimg.org/image/mi3xit477/\nit's Gargoyle Router Management Utility\ni'm a pre-beginner in cracking, i setted this up in my router, but i don't want to press the reset button, it took me a few weeks to do it, so i don't wanna re-install the firmware, but i forgot the password.....\ni have unlimited times of enter times, it's a 192.168.2.1\nhow can i crack it?  i don't think it's encrypted though..."</li><li>'How can someone prevent a sybil attack when connecting through TOR?. <p>As I understand it, running sybil BTC nodes through an anonymous network like TOR is much less expensive than in clearnet. This makes it possible that one could be connected to a majority of nodes controlled by the same entity, right?</p>\n\n<p>Is there any way to limit exposure to this when connection through TOR?</p>\n\n<p>( I am asking for a friend :P )</p>\n'</li><li>'Added gigabit qos switch at workstation to work around 10/100 pass though in Cisco IP phone. Widows says the LAN connection is 1Gbps, but there is a cat5, not 5e going to the machine, am I really getting gigabit?. Windows 7.\nLong story short, the network connection to our PCs was running through our Cisco IP phones, which only supported 10/100. Per my IT guy, everything else on our network, the switches etc. can support gigabit, the phone is the choke point. To workaround, I got a 5 port gigabit switch, and put the phone on the high priority qos port. Under the LAN connection in control panel, it went from 100Mbps to 1Gbps.\nThe reason I am skeptical is that the ethernet cable from the switch to the PC is cat5, not 5e. My understanding is it needs to be 5e. Since there are 3 cables (wall to switch, switch to phone, switch to pc) per machine, I would rather not replace every cable on 17 machines.\nSo, if Windows says gigabit, is that all there is to it? Or should I run some type of diagnostic?\nLonger question, we have 20ish IP phones, and a server, sharing modestly sized documents, and some server-centric ERP type software. Do I even need the Gigabit speed? Some users I have switched are noticing some improvement, but we are not transferring huge files across the network regularly, so it may just seem anecdotally faster to them.  How can I tell if I really need the extra bandwidth, and what I am using?\n\nI feel like a total idiot here, be gentle...\n\nThanks!'</li></ul> |
| non-cybersec | <ul><li>'Tex-shell in AUCTeX. <p>Whenever I compile a file in AUCTeX (e.g. <code>C-c</code> <code>C-c</code> and then choosing an option) , it creates a buffer <code>tex-shell</code> where I can see the output of the compilation command. Once the compilation finishes this shell buffer stays open. What is the right way to close it? </p>\n\n<p>Besides showing me the compilation output, what else can I use it for?</p>\n'</li><li>'Inserting a Creative Commons Licence into a LaTeX document. <p>I\'d like to insert a CC license on a manuscript (a book or report). I\'ve seen the page for downloading the <a href="http://creativecommons.org/about/downloads/" rel="noreferrer">CC icons</a>, and also some questions asked in the forum <a href="https://tex.stackexchange.com/questions/20308/creative-commons-logo">CC logo</a> and <a href="https://tex.stackexchange.com/questions/1725/how-do-i-generate-creative-commons-license-information">Generate CC information</a>. </p>\n\n<p>However, I do not get how to create the actual thing!</p>\n\n<p><strong>Q:</strong> Can you please provide an example of a license info page (<em>MWE</em>)? That would be really helpful!</p>\n'</li><li>"Hey Reddit! We're Tritonal, and we just released our new U&Me album. Ask us anything!!. Yooo! What's up!? It's Dave & Chad of Tritonal, and we've just released our newest album, U&ME, available everywhere now! We're here to answer all of YOUR questions. Let's get this thing started!\n\nASK US ANYTHING! <3\n\nOur new album U&Me - https://enhanced.ffm.to/umealbum\nOur tour dates - http://tritonalmusic.com/shows\n\nProof: https://i.imgur.com/6cxJ9eU.jpg"</li></ul>                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                    |

## 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("naufalso/setfit-ctc-bge-base-en-v1.5")
# Run inference
preds = model("The salvation of the soul in plain English: the world revolves around me.")
```

<!--
### 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   | 2   | 309.552 | 20280 |

| Label        | Training Sample Count |
|:-------------|:----------------------|
| non-cybersec | 1000                  |
| cybersec     | 1000                  |

### 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
- l2_weight: 0.01
- seed: 42
- eval_max_steps: -1
- load_best_model_at_end: False

### Training Results
| Epoch  | Step  | Training Loss | Validation Loss |
|:------:|:-----:|:-------------:|:---------------:|
| 0.0000 | 1     | 0.2527        | -               |
| 0.0008 | 50    | 0.2398        | -               |
| 0.0016 | 100   | 0.2476        | -               |
| 0.0024 | 150   | 0.2407        | -               |
| 0.0032 | 200   | 0.2448        | -               |
| 0.0040 | 250   | 0.241         | -               |
| 0.0048 | 300   | 0.2381        | -               |
| 0.0056 | 350   | 0.2345        | -               |
| 0.0064 | 400   | 0.2344        | -               |
| 0.0072 | 450   | 0.2284        | -               |
| 0.0080 | 500   | 0.2232        | -               |
| 0.0088 | 550   | 0.2167        | -               |
| 0.0096 | 600   | 0.2082        | -               |
| 0.0104 | 650   | 0.193         | -               |
| 0.0112 | 700   | 0.163         | -               |
| 0.0120 | 750   | 0.138         | -               |
| 0.0128 | 800   | 0.1136        | -               |
| 0.0136 | 850   | 0.0934        | -               |
| 0.0144 | 900   | 0.0743        | -               |
| 0.0152 | 950   | 0.0619        | -               |
| 0.0160 | 1000  | 0.0455        | -               |
| 0.0168 | 1050  | 0.0415        | -               |
| 0.0176 | 1100  | 0.027         | -               |
| 0.0184 | 1150  | 0.0276        | -               |
| 0.0192 | 1200  | 0.0235        | -               |
| 0.0200 | 1250  | 0.0183        | -               |
| 0.0208 | 1300  | 0.0193        | -               |
| 0.0216 | 1350  | 0.0161        | -               |
| 0.0224 | 1400  | 0.0143        | -               |
| 0.0232 | 1450  | 0.0134        | -               |
| 0.0240 | 1500  | 0.0146        | -               |
| 0.0248 | 1550  | 0.0152        | -               |
| 0.0256 | 1600  | 0.0157        | -               |
| 0.0264 | 1650  | 0.0138        | -               |
| 0.0272 | 1700  | 0.0101        | -               |
| 0.0280 | 1750  | 0.0089        | -               |
| 0.0288 | 1800  | 0.0109        | -               |
| 0.0296 | 1850  | 0.0122        | -               |
| 0.0304 | 1900  | 0.0056        | -               |
| 0.0312 | 1950  | 0.0094        | -               |
| 0.0320 | 2000  | 0.0105        | -               |
| 0.0328 | 2050  | 0.0101        | -               |
| 0.0336 | 2100  | 0.0087        | -               |
| 0.0344 | 2150  | 0.0089        | -               |
| 0.0352 | 2200  | 0.0079        | -               |
| 0.0360 | 2250  | 0.0091        | -               |
| 0.0368 | 2300  | 0.0063        | -               |
| 0.0376 | 2350  | 0.005         | -               |
| 0.0384 | 2400  | 0.0083        | -               |
| 0.0392 | 2450  | 0.0066        | -               |
| 0.0400 | 2500  | 0.007         | -               |
| 0.0408 | 2550  | 0.0049        | -               |
| 0.0416 | 2600  | 0.0037        | -               |
| 0.0424 | 2650  | 0.006         | -               |
| 0.0432 | 2700  | 0.0063        | -               |
| 0.0440 | 2750  | 0.0047        | -               |
| 0.0448 | 2800  | 0.0062        | -               |
| 0.0456 | 2850  | 0.0029        | -               |
| 0.0464 | 2900  | 0.0038        | -               |
| 0.0472 | 2950  | 0.0025        | -               |
| 0.0480 | 3000  | 0.0021        | -               |
| 0.0488 | 3050  | 0.0017        | -               |
| 0.0496 | 3100  | 0.0041        | -               |
| 0.0503 | 3150  | 0.0015        | -               |
| 0.0511 | 3200  | 0.004         | -               |
| 0.0519 | 3250  | 0.0019        | -               |
| 0.0527 | 3300  | 0.005         | -               |
| 0.0535 | 3350  | 0.0016        | -               |
| 0.0543 | 3400  | 0.0037        | -               |
| 0.0551 | 3450  | 0.0031        | -               |
| 0.0559 | 3500  | 0.0024        | -               |
| 0.0567 | 3550  | 0.0019        | -               |
| 0.0575 | 3600  | 0.0036        | -               |
| 0.0583 | 3650  | 0.0058        | -               |
| 0.0591 | 3700  | 0.0024        | -               |
| 0.0599 | 3750  | 0.0021        | -               |
| 0.0607 | 3800  | 0.0015        | -               |
| 0.0615 | 3850  | 0.0015        | -               |
| 0.0623 | 3900  | 0.0016        | -               |
| 0.0631 | 3950  | 0.0009        | -               |
| 0.0639 | 4000  | 0.0014        | -               |
| 0.0647 | 4050  | 0.0014        | -               |
| 0.0655 | 4100  | 0.0021        | -               |
| 0.0663 | 4150  | 0.0008        | -               |
| 0.0671 | 4200  | 0.0031        | -               |
| 0.0679 | 4250  | 0.0008        | -               |
| 0.0687 | 4300  | 0.0025        | -               |
| 0.0695 | 4350  | 0.0028        | -               |
| 0.0703 | 4400  | 0.0025        | -               |
| 0.0711 | 4450  | 0.0007        | -               |
| 0.0719 | 4500  | 0.0018        | -               |
| 0.0727 | 4550  | 0.0012        | -               |
| 0.0735 | 4600  | 0.0012        | -               |
| 0.0743 | 4650  | 0.0006        | -               |
| 0.0751 | 4700  | 0.0006        | -               |
| 0.0759 | 4750  | 0.0031        | -               |
| 0.0767 | 4800  | 0.0017        | -               |
| 0.0775 | 4850  | 0.0007        | -               |
| 0.0783 | 4900  | 0.0011        | -               |
| 0.0791 | 4950  | 0.0006        | -               |
| 0.0799 | 5000  | 0.0006        | -               |
| 0.0807 | 5050  | 0.0005        | -               |
| 0.0815 | 5100  | 0.0005        | -               |
| 0.0823 | 5150  | 0.0005        | -               |
| 0.0831 | 5200  | 0.0005        | -               |
| 0.0839 | 5250  | 0.0005        | -               |
| 0.0847 | 5300  | 0.0005        | -               |
| 0.0855 | 5350  | 0.0005        | -               |
| 0.0863 | 5400  | 0.0005        | -               |
| 0.0871 | 5450  | 0.0005        | -               |
| 0.0879 | 5500  | 0.0004        | -               |
| 0.0887 | 5550  | 0.0005        | -               |
| 0.0895 | 5600  | 0.0004        | -               |
| 0.0903 | 5650  | 0.0004        | -               |
| 0.0911 | 5700  | 0.0004        | -               |
| 0.0919 | 5750  | 0.0004        | -               |
| 0.0927 | 5800  | 0.0004        | -               |
| 0.0935 | 5850  | 0.0035        | -               |
| 0.0943 | 5900  | 0.0112        | -               |
| 0.0951 | 5950  | 0.0054        | -               |
| 0.0959 | 6000  | 0.0058        | -               |
| 0.0967 | 6050  | 0.0027        | -               |
| 0.0975 | 6100  | 0.0051        | -               |
| 0.0983 | 6150  | 0.0038        | -               |
| 0.0991 | 6200  | 0.0031        | -               |
| 0.0999 | 6250  | 0.0038        | -               |
| 0.1007 | 6300  | 0.0021        | -               |
| 0.1015 | 6350  | 0.0029        | -               |
| 0.1023 | 6400  | 0.0018        | -               |
| 0.1031 | 6450  | 0.0035        | -               |
| 0.1039 | 6500  | 0.0017        | -               |
| 0.1047 | 6550  | 0.0026        | -               |
| 0.1055 | 6600  | 0.0016        | -               |
| 0.1063 | 6650  | 0.0016        | -               |
| 0.1071 | 6700  | 0.0004        | -               |
| 0.1079 | 6750  | 0.001         | -               |
| 0.1087 | 6800  | 0.0028        | -               |
| 0.1095 | 6850  | 0.001         | -               |
| 0.1103 | 6900  | 0.0003        | -               |
| 0.1111 | 6950  | 0.001         | -               |
| 0.1119 | 7000  | 0.0016        | -               |
| 0.1127 | 7050  | 0.0003        | -               |
| 0.1135 | 7100  | 0.0022        | -               |
| 0.1143 | 7150  | 0.0022        | -               |
| 0.1151 | 7200  | 0.0016        | -               |
| 0.1159 | 7250  | 0.0007        | -               |
| 0.1167 | 7300  | 0.0003        | -               |
| 0.1175 | 7350  | 0.0006        | -               |
| 0.1183 | 7400  | 0.0026        | -               |
| 0.1191 | 7450  | 0.0004        | -               |
| 0.1199 | 7500  | 0.0008        | -               |
| 0.1207 | 7550  | 0.0004        | -               |
| 0.1215 | 7600  | 0.0003        | -               |
| 0.1223 | 7650  | 0.0004        | -               |
| 0.1231 | 7700  | 0.0023        | -               |
| 0.1239 | 7750  | 0.0004        | -               |
| 0.1247 | 7800  | 0.0005        | -               |
| 0.1255 | 7850  | 0.0005        | -               |
| 0.1263 | 7900  | 0.0016        | -               |
| 0.1271 | 7950  | 0.0005        | -               |
| 0.1279 | 8000  | 0.0004        | -               |
| 0.1287 | 8050  | 0.0003        | -               |
| 0.1295 | 8100  | 0.0014        | -               |
| 0.1303 | 8150  | 0.0052        | -               |
| 0.1311 | 8200  | 0.005         | -               |
| 0.1319 | 8250  | 0.0051        | -               |
| 0.1327 | 8300  | 0.0009        | -               |
| 0.1335 | 8350  | 0.0003        | -               |
| 0.1343 | 8400  | 0.0004        | -               |
| 0.1351 | 8450  | 0.0003        | -               |
| 0.1359 | 8500  | 0.0003        | -               |
| 0.1367 | 8550  | 0.0009        | -               |
| 0.1375 | 8600  | 0.0003        | -               |
| 0.1383 | 8650  | 0.0003        | -               |
| 0.1391 | 8700  | 0.0003        | -               |
| 0.1399 | 8750  | 0.0009        | -               |
| 0.1407 | 8800  | 0.0012        | -               |
| 0.1415 | 8850  | 0.0009        | -               |
| 0.1423 | 8900  | 0.0003        | -               |
| 0.1431 | 8950  | 0.0002        | -               |
| 0.1439 | 9000  | 0.0002        | -               |
| 0.1447 | 9050  | 0.0002        | -               |
| 0.1455 | 9100  | 0.0002        | -               |
| 0.1463 | 9150  | 0.0002        | -               |
| 0.1471 | 9200  | 0.0002        | -               |
| 0.1479 | 9250  | 0.0003        | -               |
| 0.1487 | 9300  | 0.0002        | -               |
| 0.1494 | 9350  | 0.0002        | -               |
| 0.1502 | 9400  | 0.0002        | -               |
| 0.1510 | 9450  | 0.0002        | -               |
| 0.1518 | 9500  | 0.0002        | -               |
| 0.1526 | 9550  | 0.0002        | -               |
| 0.1534 | 9600  | 0.0002        | -               |
| 0.1542 | 9650  | 0.0002        | -               |
| 0.1550 | 9700  | 0.0002        | -               |
| 0.1558 | 9750  | 0.0002        | -               |
| 0.1566 | 9800  | 0.0002        | -               |
| 0.1574 | 9850  | 0.0002        | -               |
| 0.1582 | 9900  | 0.0002        | -               |
| 0.1590 | 9950  | 0.0002        | -               |
| 0.1598 | 10000 | 0.0002        | -               |
| 0.1606 | 10050 | 0.0002        | -               |
| 0.1614 | 10100 | 0.0002        | -               |
| 0.1622 | 10150 | 0.0002        | -               |
| 0.1630 | 10200 | 0.0002        | -               |
| 0.1638 | 10250 | 0.0002        | -               |
| 0.1646 | 10300 | 0.0002        | -               |
| 0.1654 | 10350 | 0.0002        | -               |
| 0.1662 | 10400 | 0.0002        | -               |
| 0.1670 | 10450 | 0.0002        | -               |
| 0.1678 | 10500 | 0.0002        | -               |
| 0.1686 | 10550 | 0.0002        | -               |
| 0.1694 | 10600 | 0.0002        | -               |
| 0.1702 | 10650 | 0.0002        | -               |
| 0.1710 | 10700 | 0.0002        | -               |
| 0.1718 | 10750 | 0.0002        | -               |
| 0.1726 | 10800 | 0.0002        | -               |
| 0.1734 | 10850 | 0.0002        | -               |
| 0.1742 | 10900 | 0.0002        | -               |
| 0.1750 | 10950 | 0.0002        | -               |
| 0.1758 | 11000 | 0.0002        | -               |
| 0.1766 | 11050 | 0.0002        | -               |
| 0.1774 | 11100 | 0.0002        | -               |
| 0.1782 | 11150 | 0.0002        | -               |
| 0.1790 | 11200 | 0.0002        | -               |
| 0.1798 | 11250 | 0.0002        | -               |
| 0.1806 | 11300 | 0.0002        | -               |
| 0.1814 | 11350 | 0.0002        | -               |
| 0.1822 | 11400 | 0.0002        | -               |
| 0.1830 | 11450 | 0.0002        | -               |
| 0.1838 | 11500 | 0.0002        | -               |
| 0.1846 | 11550 | 0.0002        | -               |
| 0.1854 | 11600 | 0.0002        | -               |
| 0.1862 | 11650 | 0.0002        | -               |
| 0.1870 | 11700 | 0.0002        | -               |
| 0.1878 | 11750 | 0.0002        | -               |
| 0.1886 | 11800 | 0.0001        | -               |
| 0.1894 | 11850 | 0.0002        | -               |
| 0.1902 | 11900 | 0.0002        | -               |
| 0.1910 | 11950 | 0.0001        | -               |
| 0.1918 | 12000 | 0.0001        | -               |
| 0.1926 | 12050 | 0.0001        | -               |
| 0.1934 | 12100 | 0.0001        | -               |
| 0.1942 | 12150 | 0.0001        | -               |
| 0.1950 | 12200 | 0.0001        | -               |
| 0.1958 | 12250 | 0.0001        | -               |
| 0.1966 | 12300 | 0.0001        | -               |
| 0.1974 | 12350 | 0.0001        | -               |
| 0.1982 | 12400 | 0.0001        | -               |
| 0.1990 | 12450 | 0.0001        | -               |
| 0.1998 | 12500 | 0.0001        | -               |
| 0.2006 | 12550 | 0.0001        | -               |
| 0.2014 | 12600 | 0.0001        | -               |
| 0.2022 | 12650 | 0.0001        | -               |
| 0.2030 | 12700 | 0.0001        | -               |
| 0.2038 | 12750 | 0.0001        | -               |
| 0.2046 | 12800 | 0.0001        | -               |
| 0.2054 | 12850 | 0.0001        | -               |
| 0.2062 | 12900 | 0.0001        | -               |
| 0.2070 | 12950 | 0.0001        | -               |
| 0.2078 | 13000 | 0.0001        | -               |
| 0.2086 | 13050 | 0.0001        | -               |
| 0.2094 | 13100 | 0.0001        | -               |
| 0.2102 | 13150 | 0.0001        | -               |
| 0.2110 | 13200 | 0.0001        | -               |
| 0.2118 | 13250 | 0.0001        | -               |
| 0.2126 | 13300 | 0.0001        | -               |
| 0.2134 | 13350 | 0.0001        | -               |
| 0.2142 | 13400 | 0.0001        | -               |
| 0.2150 | 13450 | 0.0001        | -               |
| 0.2158 | 13500 | 0.0001        | -               |
| 0.2166 | 13550 | 0.0001        | -               |
| 0.2174 | 13600 | 0.0001        | -               |
| 0.2182 | 13650 | 0.0001        | -               |
| 0.2190 | 13700 | 0.0001        | -               |
| 0.2198 | 13750 | 0.0001        | -               |
| 0.2206 | 13800 | 0.0001        | -               |
| 0.2214 | 13850 | 0.0001        | -               |
| 0.2222 | 13900 | 0.0001        | -               |
| 0.2230 | 13950 | 0.0001        | -               |
| 0.2238 | 14000 | 0.0001        | -               |
| 0.2246 | 14050 | 0.0001        | -               |
| 0.2254 | 14100 | 0.0001        | -               |
| 0.2262 | 14150 | 0.0001        | -               |
| 0.2270 | 14200 | 0.0001        | -               |
| 0.2278 | 14250 | 0.0001        | -               |
| 0.2286 | 14300 | 0.0001        | -               |
| 0.2294 | 14350 | 0.0001        | -               |
| 0.2302 | 14400 | 0.0001        | -               |
| 0.2310 | 14450 | 0.0001        | -               |
| 0.2318 | 14500 | 0.0001        | -               |
| 0.2326 | 14550 | 0.0001        | -               |
| 0.2334 | 14600 | 0.0001        | -               |
| 0.2342 | 14650 | 0.0001        | -               |
| 0.2350 | 14700 | 0.0001        | -               |
| 0.2358 | 14750 | 0.0001        | -               |
| 0.2366 | 14800 | 0.0001        | -               |
| 0.2374 | 14850 | 0.0001        | -               |
| 0.2382 | 14900 | 0.0001        | -               |
| 0.2390 | 14950 | 0.0001        | -               |
| 0.2398 | 15000 | 0.0001        | -               |
| 0.2406 | 15050 | 0.0001        | -               |
| 0.2414 | 15100 | 0.0001        | -               |
| 0.2422 | 15150 | 0.0001        | -               |
| 0.2430 | 15200 | 0.0001        | -               |
| 0.2438 | 15250 | 0.0001        | -               |
| 0.2446 | 15300 | 0.0001        | -               |
| 0.2454 | 15350 | 0.0001        | -               |
| 0.2462 | 15400 | 0.0001        | -               |
| 0.2470 | 15450 | 0.0001        | -               |
| 0.2478 | 15500 | 0.0001        | -               |
| 0.2485 | 15550 | 0.0001        | -               |
| 0.2493 | 15600 | 0.0001        | -               |
| 0.2501 | 15650 | 0.0001        | -               |
| 0.2509 | 15700 | 0.0001        | -               |
| 0.2517 | 15750 | 0.0001        | -               |
| 0.2525 | 15800 | 0.0001        | -               |
| 0.2533 | 15850 | 0.0001        | -               |
| 0.2541 | 15900 | 0.0001        | -               |
| 0.2549 | 15950 | 0.0001        | -               |
| 0.2557 | 16000 | 0.0001        | -               |
| 0.2565 | 16050 | 0.0001        | -               |
| 0.2573 | 16100 | 0.0001        | -               |
| 0.2581 | 16150 | 0.0001        | -               |
| 0.2589 | 16200 | 0.0001        | -               |
| 0.2597 | 16250 | 0.0001        | -               |
| 0.2605 | 16300 | 0.0001        | -               |
| 0.2613 | 16350 | 0.0001        | -               |
| 0.2621 | 16400 | 0.0001        | -               |
| 0.2629 | 16450 | 0.0011        | -               |
| 0.2637 | 16500 | 0.0011        | -               |
| 0.2645 | 16550 | 0.0022        | -               |
| 0.2653 | 16600 | 0.0055        | -               |
| 0.2661 | 16650 | 0.0012        | -               |
| 0.2669 | 16700 | 0.0023        | -               |
| 0.2677 | 16750 | 0.0016        | -               |
| 0.2685 | 16800 | 0.0001        | -               |
| 0.2693 | 16850 | 0.0001        | -               |
| 0.2701 | 16900 | 0.0001        | -               |
| 0.2709 | 16950 | 0.0001        | -               |
| 0.2717 | 17000 | 0.0001        | -               |
| 0.2725 | 17050 | 0.0001        | -               |
| 0.2733 | 17100 | 0.0001        | -               |
| 0.2741 | 17150 | 0.0001        | -               |
| 0.2749 | 17200 | 0.0001        | -               |
| 0.2757 | 17250 | 0.0001        | -               |
| 0.2765 | 17300 | 0.0001        | -               |
| 0.2773 | 17350 | 0.0001        | -               |
| 0.2781 | 17400 | 0.0001        | -               |
| 0.2789 | 17450 | 0.0001        | -               |
| 0.2797 | 17500 | 0.0001        | -               |
| 0.2805 | 17550 | 0.0001        | -               |
| 0.2813 | 17600 | 0.0001        | -               |
| 0.2821 | 17650 | 0.0001        | -               |
| 0.2829 | 17700 | 0.0001        | -               |
| 0.2837 | 17750 | 0.0001        | -               |
| 0.2845 | 17800 | 0.0003        | -               |
| 0.2853 | 17850 | 0.0001        | -               |
| 0.2861 | 17900 | 0.0001        | -               |
| 0.2869 | 17950 | 0.0001        | -               |
| 0.2877 | 18000 | 0.0001        | -               |
| 0.2885 | 18050 | 0.0001        | -               |
| 0.2893 | 18100 | 0.0001        | -               |
| 0.2901 | 18150 | 0.0001        | -               |
| 0.2909 | 18200 | 0.0001        | -               |
| 0.2917 | 18250 | 0.0001        | -               |
| 0.2925 | 18300 | 0.0001        | -               |
| 0.2933 | 18350 | 0.0001        | -               |
| 0.2941 | 18400 | 0.0001        | -               |
| 0.2949 | 18450 | 0.0001        | -               |
| 0.2957 | 18500 | 0.0001        | -               |
| 0.2965 | 18550 | 0.0001        | -               |
| 0.2973 | 18600 | 0.0001        | -               |
| 0.2981 | 18650 | 0.0001        | -               |
| 0.2989 | 18700 | 0.0001        | -               |
| 0.2997 | 18750 | 0.0001        | -               |
| 0.3005 | 18800 | 0.0001        | -               |
| 0.3013 | 18850 | 0.0001        | -               |
| 0.3021 | 18900 | 0.0001        | -               |
| 0.3029 | 18950 | 0.0001        | -               |
| 0.3037 | 19000 | 0.0001        | -               |
| 0.3045 | 19050 | 0.0001        | -               |
| 0.3053 | 19100 | 0.0001        | -               |
| 0.3061 | 19150 | 0.0001        | -               |
| 0.3069 | 19200 | 0.0001        | -               |
| 0.3077 | 19250 | 0.0001        | -               |
| 0.3085 | 19300 | 0.0001        | -               |
| 0.3093 | 19350 | 0.0001        | -               |
| 0.3101 | 19400 | 0.0001        | -               |
| 0.3109 | 19450 | 0.0001        | -               |
| 0.3117 | 19500 | 0.0001        | -               |
| 0.3125 | 19550 | 0.0001        | -               |
| 0.3133 | 19600 | 0.0001        | -               |
| 0.3141 | 19650 | 0.0001        | -               |
| 0.3149 | 19700 | 0.0001        | -               |
| 0.3157 | 19750 | 0.0001        | -               |
| 0.3165 | 19800 | 0.0           | -               |
| 0.3173 | 19850 | 0.0001        | -               |
| 0.3181 | 19900 | 0.0001        | -               |
| 0.3189 | 19950 | 0.0001        | -               |
| 0.3197 | 20000 | 0.0001        | -               |
| 0.3205 | 20050 | 0.0001        | -               |
| 0.3213 | 20100 | 0.0001        | -               |
| 0.3221 | 20150 | 0.0001        | -               |
| 0.3229 | 20200 | 0.0           | -               |
| 0.3237 | 20250 | 0.0001        | -               |
| 0.3245 | 20300 | 0.0           | -               |
| 0.3253 | 20350 | 0.0001        | -               |
| 0.3261 | 20400 | 0.0           | -               |
| 0.3269 | 20450 | 0.0           | -               |
| 0.3277 | 20500 | 0.0           | -               |
| 0.3285 | 20550 | 0.0001        | -               |
| 0.3293 | 20600 | 0.0           | -               |
| 0.3301 | 20650 | 0.0           | -               |
| 0.3309 | 20700 | 0.0           | -               |
| 0.3317 | 20750 | 0.0           | -               |
| 0.3325 | 20800 | 0.0           | -               |
| 0.3333 | 20850 | 0.0           | -               |
| 0.3341 | 20900 | 0.0           | -               |
| 0.3349 | 20950 | 0.0           | -               |
| 0.3357 | 21000 | 0.0           | -               |
| 0.3365 | 21050 | 0.0           | -               |
| 0.3373 | 21100 | 0.0           | -               |
| 0.3381 | 21150 | 0.0           | -               |
| 0.3389 | 21200 | 0.0           | -               |
| 0.3397 | 21250 | 0.0           | -               |
| 0.3405 | 21300 | 0.0           | -               |
| 0.3413 | 21350 | 0.0           | -               |
| 0.3421 | 21400 | 0.0           | -               |
| 0.3429 | 21450 | 0.0           | -               |
| 0.3437 | 21500 | 0.0           | -               |
| 0.3445 | 21550 | 0.0           | -               |
| 0.3453 | 21600 | 0.0           | -               |
| 0.3461 | 21650 | 0.0           | -               |
| 0.3469 | 21700 | 0.0           | -               |
| 0.3476 | 21750 | 0.0           | -               |
| 0.3484 | 21800 | 0.0           | -               |
| 0.3492 | 21850 | 0.0           | -               |
| 0.3500 | 21900 | 0.0           | -               |
| 0.3508 | 21950 | 0.0           | -               |
| 0.3516 | 22000 | 0.0           | -               |
| 0.3524 | 22050 | 0.0           | -               |
| 0.3532 | 22100 | 0.0           | -               |
| 0.3540 | 22150 | 0.0           | -               |
| 0.3548 | 22200 | 0.0           | -               |
| 0.3556 | 22250 | 0.0           | -               |
| 0.3564 | 22300 | 0.0           | -               |
| 0.3572 | 22350 | 0.0           | -               |
| 0.3580 | 22400 | 0.0           | -               |
| 0.3588 | 22450 | 0.0           | -               |
| 0.3596 | 22500 | 0.0           | -               |
| 0.3604 | 22550 | 0.0           | -               |
| 0.3612 | 22600 | 0.0           | -               |
| 0.3620 | 22650 | 0.0           | -               |
| 0.3628 | 22700 | 0.0           | -               |
| 0.3636 | 22750 | 0.0           | -               |
| 0.3644 | 22800 | 0.0           | -               |
| 0.3652 | 22850 | 0.0           | -               |
| 0.3660 | 22900 | 0.0           | -               |
| 0.3668 | 22950 | 0.0           | -               |
| 0.3676 | 23000 | 0.0           | -               |
| 0.3684 | 23050 | 0.0           | -               |
| 0.3692 | 23100 | 0.0           | -               |
| 0.3700 | 23150 | 0.0           | -               |
| 0.3708 | 23200 | 0.0           | -               |
| 0.3716 | 23250 | 0.0           | -               |
| 0.3724 | 23300 | 0.0           | -               |
| 0.3732 | 23350 | 0.0           | -               |
| 0.3740 | 23400 | 0.0           | -               |
| 0.3748 | 23450 | 0.0           | -               |
| 0.3756 | 23500 | 0.0           | -               |
| 0.3764 | 23550 | 0.0           | -               |
| 0.3772 | 23600 | 0.0           | -               |
| 0.3780 | 23650 | 0.0           | -               |
| 0.3788 | 23700 | 0.0           | -               |
| 0.3796 | 23750 | 0.0           | -               |
| 0.3804 | 23800 | 0.0           | -               |
| 0.3812 | 23850 | 0.0           | -               |
| 0.3820 | 23900 | 0.0           | -               |
| 0.3828 | 23950 | 0.0           | -               |
| 0.3836 | 24000 | 0.0           | -               |
| 0.3844 | 24050 | 0.0           | -               |
| 0.3852 | 24100 | 0.0           | -               |
| 0.3860 | 24150 | 0.0           | -               |
| 0.3868 | 24200 | 0.0           | -               |
| 0.3876 | 24250 | 0.0           | -               |
| 0.3884 | 24300 | 0.0           | -               |
| 0.3892 | 24350 | 0.0           | -               |
| 0.3900 | 24400 | 0.0           | -               |
| 0.3908 | 24450 | 0.0           | -               |
| 0.3916 | 24500 | 0.0           | -               |
| 0.3924 | 24550 | 0.0           | -               |
| 0.3932 | 24600 | 0.0           | -               |
| 0.3940 | 24650 | 0.0           | -               |
| 0.3948 | 24700 | 0.0           | -               |
| 0.3956 | 24750 | 0.0           | -               |
| 0.3964 | 24800 | 0.0           | -               |
| 0.3972 | 24850 | 0.0           | -               |
| 0.3980 | 24900 | 0.0           | -               |
| 0.3988 | 24950 | 0.0           | -               |
| 0.3996 | 25000 | 0.0           | -               |
| 0.4004 | 25050 | 0.0           | -               |
| 0.4012 | 25100 | 0.0           | -               |
| 0.4020 | 25150 | 0.0           | -               |
| 0.4028 | 25200 | 0.0           | -               |
| 0.4036 | 25250 | 0.0           | -               |
| 0.4044 | 25300 | 0.0           | -               |
| 0.4052 | 25350 | 0.0           | -               |
| 0.4060 | 25400 | 0.0           | -               |
| 0.4068 | 25450 | 0.0           | -               |
| 0.4076 | 25500 | 0.0           | -               |
| 0.4084 | 25550 | 0.0           | -               |
| 0.4092 | 25600 | 0.0           | -               |
| 0.4100 | 25650 | 0.0           | -               |
| 0.4108 | 25700 | 0.0           | -               |
| 0.4116 | 25750 | 0.0           | -               |
| 0.4124 | 25800 | 0.0           | -               |
| 0.4132 | 25850 | 0.0           | -               |
| 0.4140 | 25900 | 0.0           | -               |
| 0.4148 | 25950 | 0.0           | -               |
| 0.4156 | 26000 | 0.0           | -               |
| 0.4164 | 26050 | 0.0           | -               |
| 0.4172 | 26100 | 0.0           | -               |
| 0.4180 | 26150 | 0.0           | -               |
| 0.4188 | 26200 | 0.0           | -               |
| 0.4196 | 26250 | 0.0           | -               |
| 0.4204 | 26300 | 0.0           | -               |
| 0.4212 | 26350 | 0.0           | -               |
| 0.4220 | 26400 | 0.0           | -               |
| 0.4228 | 26450 | 0.0           | -               |
| 0.4236 | 26500 | 0.0           | -               |
| 0.4244 | 26550 | 0.0           | -               |
| 0.4252 | 26600 | 0.0           | -               |
| 0.4260 | 26650 | 0.0           | -               |
| 0.4268 | 26700 | 0.0           | -               |
| 0.4276 | 26750 | 0.0           | -               |
| 0.4284 | 26800 | 0.0           | -               |
| 0.4292 | 26850 | 0.0           | -               |
| 0.4300 | 26900 | 0.0           | -               |
| 0.4308 | 26950 | 0.0           | -               |
| 0.4316 | 27000 | 0.0           | -               |
| 0.4324 | 27050 | 0.0           | -               |
| 0.4332 | 27100 | 0.0           | -               |
| 0.4340 | 27150 | 0.0           | -               |
| 0.4348 | 27200 | 0.0           | -               |
| 0.4356 | 27250 | 0.0           | -               |
| 0.4364 | 27300 | 0.0           | -               |
| 0.4372 | 27350 | 0.0           | -               |
| 0.4380 | 27400 | 0.0           | -               |
| 0.4388 | 27450 | 0.0           | -               |
| 0.4396 | 27500 | 0.0           | -               |
| 0.4404 | 27550 | 0.0           | -               |
| 0.4412 | 27600 | 0.0           | -               |
| 0.4420 | 27650 | 0.0           | -               |
| 0.4428 | 27700 | 0.0           | -               |
| 0.4436 | 27750 | 0.0           | -               |
| 0.4444 | 27800 | 0.0           | -               |
| 0.4452 | 27850 | 0.0           | -               |
| 0.4460 | 27900 | 0.0           | -               |
| 0.4467 | 27950 | 0.0           | -               |
| 0.4475 | 28000 | 0.0           | -               |
| 0.4483 | 28050 | 0.0           | -               |
| 0.4491 | 28100 | 0.0           | -               |
| 0.4499 | 28150 | 0.0           | -               |
| 0.4507 | 28200 | 0.0           | -               |
| 0.4515 | 28250 | 0.0           | -               |
| 0.4523 | 28300 | 0.0           | -               |
| 0.4531 | 28350 | 0.0           | -               |
| 0.4539 | 28400 | 0.0           | -               |
| 0.4547 | 28450 | 0.0           | -               |
| 0.4555 | 28500 | 0.0           | -               |
| 0.4563 | 28550 | 0.0           | -               |
| 0.4571 | 28600 | 0.0           | -               |
| 0.4579 | 28650 | 0.0           | -               |
| 0.4587 | 28700 | 0.0           | -               |
| 0.4595 | 28750 | 0.0           | -               |
| 0.4603 | 28800 | 0.0           | -               |
| 0.4611 | 28850 | 0.0           | -               |
| 0.4619 | 28900 | 0.0           | -               |
| 0.4627 | 28950 | 0.0           | -               |
| 0.4635 | 29000 | 0.0           | -               |
| 0.4643 | 29050 | 0.0           | -               |
| 0.4651 | 29100 | 0.0           | -               |
| 0.4659 | 29150 | 0.0           | -               |
| 0.4667 | 29200 | 0.0           | -               |
| 0.4675 | 29250 | 0.0           | -               |
| 0.4683 | 29300 | 0.0           | -               |
| 0.4691 | 29350 | 0.0003        | -               |
| 0.4699 | 29400 | 0.0           | -               |
| 0.4707 | 29450 | 0.0005        | -               |
| 0.4715 | 29500 | 0.0           | -               |
| 0.4723 | 29550 | 0.0           | -               |
| 0.4731 | 29600 | 0.0           | -               |
| 0.4739 | 29650 | 0.0001        | -               |
| 0.4747 | 29700 | 0.0           | -               |
| 0.4755 | 29750 | 0.0           | -               |
| 0.4763 | 29800 | 0.0           | -               |
| 0.4771 | 29850 | 0.0           | -               |
| 0.4779 | 29900 | 0.0           | -               |
| 0.4787 | 29950 | 0.0           | -               |
| 0.4795 | 30000 | 0.0           | -               |
| 0.4803 | 30050 | 0.0           | -               |
| 0.4811 | 30100 | 0.0           | -               |
| 0.4819 | 30150 | 0.0           | -               |
| 0.4827 | 30200 | 0.0           | -               |
| 0.4835 | 30250 | 0.0           | -               |
| 0.4843 | 30300 | 0.0           | -               |
| 0.4851 | 30350 | 0.0           | -               |
| 0.4859 | 30400 | 0.0           | -               |
| 0.4867 | 30450 | 0.0           | -               |
| 0.4875 | 30500 | 0.0           | -               |
| 0.4883 | 30550 | 0.0           | -               |
| 0.4891 | 30600 | 0.0           | -               |
| 0.4899 | 30650 | 0.0           | -               |
| 0.4907 | 30700 | 0.0           | -               |
| 0.4915 | 30750 | 0.0           | -               |
| 0.4923 | 30800 | 0.0           | -               |
| 0.4931 | 30850 | 0.0           | -               |
| 0.4939 | 30900 | 0.0           | -               |
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| 0.5043 | 31550 | 0.0043        | -               |
| 0.5051 | 31600 | 0.0008        | -               |
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| 0.6290 | 39350 | 0.0022        | -               |
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| 0.7297 | 45650 | 0.0001        | -               |
| 0.7305 | 45700 | 0.0           | -               |
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| 0.7800 | 48800 | 0.0           | -               |
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| 0.8040 | 50300 | 0.0           | -               |
| 0.8048 | 50350 | 0.0           | -               |
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| 0.8080 | 50550 | 0.0           | -               |
| 0.8088 | 50600 | 0.0           | -               |
| 0.8096 | 50650 | 0.0           | -               |
| 0.8104 | 50700 | 0.0           | -               |
| 0.8112 | 50750 | 0.0           | -               |
| 0.8120 | 50800 | 0.0           | -               |
| 0.8128 | 50850 | 0.0           | -               |
| 0.8136 | 50900 | 0.0           | -               |
| 0.8144 | 50950 | 0.0           | -               |
| 0.8152 | 51000 | 0.0           | -               |
| 0.8160 | 51050 | 0.0           | -               |
| 0.8168 | 51100 | 0.0           | -               |
| 0.8176 | 51150 | 0.0           | -               |
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| 0.8232 | 51500 | 0.0           | -               |
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| 0.8248 | 51600 | 0.0           | -               |
| 0.8256 | 51650 | 0.0           | -               |
| 0.8264 | 51700 | 0.0           | -               |
| 0.8272 | 51750 | 0.0           | -               |
| 0.8280 | 51800 | 0.0           | -               |
| 0.8288 | 51850 | 0.0           | -               |
| 0.8296 | 51900 | 0.0           | -               |
| 0.8304 | 51950 | 0.0           | -               |
| 0.8312 | 52000 | 0.0           | -               |
| 0.8320 | 52050 | 0.0           | -               |
| 0.8328 | 52100 | 0.0           | -               |
| 0.8336 | 52150 | 0.0           | -               |
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| 0.8352 | 52250 | 0.0           | -               |
| 0.8360 | 52300 | 0.0           | -               |
| 0.8368 | 52350 | 0.0           | -               |
| 0.8376 | 52400 | 0.0           | -               |
| 0.8384 | 52450 | 0.0           | -               |
| 0.8392 | 52500 | 0.0           | -               |
| 0.8400 | 52550 | 0.0           | -               |
| 0.8408 | 52600 | 0.0           | -               |
| 0.8416 | 52650 | 0.0           | -               |
| 0.8424 | 52700 | 0.0           | -               |
| 0.8432 | 52750 | 0.0           | -               |
| 0.8439 | 52800 | 0.0           | -               |
| 0.8447 | 52850 | 0.0           | -               |
| 0.8455 | 52900 | 0.0           | -               |
| 0.8463 | 52950 | 0.0           | -               |
| 0.8471 | 53000 | 0.0           | -               |
| 0.8479 | 53050 | 0.0           | -               |
| 0.8487 | 53100 | 0.0           | -               |
| 0.8495 | 53150 | 0.0           | -               |
| 0.8503 | 53200 | 0.0           | -               |
| 0.8511 | 53250 | 0.0           | -               |
| 0.8519 | 53300 | 0.0           | -               |
| 0.8527 | 53350 | 0.0           | -               |
| 0.8535 | 53400 | 0.0           | -               |
| 0.8543 | 53450 | 0.0           | -               |
| 0.8551 | 53500 | 0.0           | -               |
| 0.8559 | 53550 | 0.0           | -               |
| 0.8567 | 53600 | 0.0           | -               |
| 0.8575 | 53650 | 0.0           | -               |
| 0.8583 | 53700 | 0.0           | -               |
| 0.8591 | 53750 | 0.0           | -               |
| 0.8599 | 53800 | 0.0           | -               |
| 0.8607 | 53850 | 0.0           | -               |
| 0.8615 | 53900 | 0.0           | -               |
| 0.8623 | 53950 | 0.0           | -               |
| 0.8631 | 54000 | 0.0           | -               |
| 0.8639 | 54050 | 0.0           | -               |
| 0.8647 | 54100 | 0.0           | -               |
| 0.8655 | 54150 | 0.0           | -               |
| 0.8663 | 54200 | 0.0           | -               |
| 0.8671 | 54250 | 0.0           | -               |
| 0.8679 | 54300 | 0.0           | -               |
| 0.8687 | 54350 | 0.0           | -               |
| 0.8695 | 54400 | 0.0           | -               |
| 0.8703 | 54450 | 0.0           | -               |
| 0.8711 | 54500 | 0.0           | -               |
| 0.8719 | 54550 | 0.0           | -               |
| 0.8727 | 54600 | 0.0           | -               |
| 0.8735 | 54650 | 0.0           | -               |
| 0.8743 | 54700 | 0.0           | -               |
| 0.8751 | 54750 | 0.0           | -               |
| 0.8759 | 54800 | 0.0           | -               |
| 0.8767 | 54850 | 0.0           | -               |
| 0.8775 | 54900 | 0.0           | -               |
| 0.8783 | 54950 | 0.0           | -               |
| 0.8791 | 55000 | 0.0           | -               |
| 0.8799 | 55050 | 0.0           | -               |
| 0.8807 | 55100 | 0.0           | -               |
| 0.8815 | 55150 | 0.0           | -               |
| 0.8823 | 55200 | 0.0           | -               |
| 0.8831 | 55250 | 0.0           | -               |
| 0.8839 | 55300 | 0.0           | -               |
| 0.8847 | 55350 | 0.0           | -               |
| 0.8855 | 55400 | 0.0           | -               |
| 0.8863 | 55450 | 0.0           | -               |
| 0.8871 | 55500 | 0.0           | -               |
| 0.8879 | 55550 | 0.0           | -               |
| 0.8887 | 55600 | 0.0004        | -               |
| 0.8895 | 55650 | 0.0           | -               |
| 0.8903 | 55700 | 0.0           | -               |
| 0.8911 | 55750 | 0.0           | -               |
| 0.8919 | 55800 | 0.0           | -               |
| 0.8927 | 55850 | 0.0           | -               |
| 0.8935 | 55900 | 0.0           | -               |
| 0.8943 | 55950 | 0.0           | -               |
| 0.8951 | 56000 | 0.0           | -               |
| 0.8959 | 56050 | 0.0           | -               |
| 0.8967 | 56100 | 0.0           | -               |
| 0.8975 | 56150 | 0.0           | -               |
| 0.8983 | 56200 | 0.0           | -               |
| 0.8991 | 56250 | 0.0           | -               |
| 0.8999 | 56300 | 0.0           | -               |
| 0.9007 | 56350 | 0.0           | -               |
| 0.9015 | 56400 | 0.0           | -               |
| 0.9023 | 56450 | 0.0           | -               |
| 0.9031 | 56500 | 0.0           | -               |
| 0.9039 | 56550 | 0.0           | -               |
| 0.9047 | 56600 | 0.0           | -               |
| 0.9055 | 56650 | 0.0           | -               |
| 0.9063 | 56700 | 0.0           | -               |
| 0.9071 | 56750 | 0.0           | -               |
| 0.9079 | 56800 | 0.0           | -               |
| 0.9087 | 56850 | 0.0           | -               |
| 0.9095 | 56900 | 0.0           | -               |
| 0.9103 | 56950 | 0.0           | -               |
| 0.9111 | 57000 | 0.0           | -               |
| 0.9119 | 57050 | 0.0           | -               |
| 0.9127 | 57100 | 0.0           | -               |
| 0.9135 | 57150 | 0.0           | -               |
| 0.9143 | 57200 | 0.0           | -               |
| 0.9151 | 57250 | 0.0           | -               |
| 0.9159 | 57300 | 0.0           | -               |
| 0.9167 | 57350 | 0.0           | -               |
| 0.9175 | 57400 | 0.0           | -               |
| 0.9183 | 57450 | 0.0           | -               |
| 0.9191 | 57500 | 0.0           | -               |
| 0.9199 | 57550 | 0.0           | -               |
| 0.9207 | 57600 | 0.0           | -               |
| 0.9215 | 57650 | 0.0           | -               |
| 0.9223 | 57700 | 0.0           | -               |
| 0.9231 | 57750 | 0.0           | -               |
| 0.9239 | 57800 | 0.0           | -               |
| 0.9247 | 57850 | 0.0           | -               |
| 0.9255 | 57900 | 0.0           | -               |
| 0.9263 | 57950 | 0.0           | -               |
| 0.9271 | 58000 | 0.0           | -               |
| 0.9279 | 58050 | 0.0           | -               |
| 0.9287 | 58100 | 0.0           | -               |
| 0.9295 | 58150 | 0.0           | -               |
| 0.9303 | 58200 | 0.0           | -               |
| 0.9311 | 58250 | 0.0           | -               |
| 0.9319 | 58300 | 0.0           | -               |
| 0.9327 | 58350 | 0.0           | -               |
| 0.9335 | 58400 | 0.0           | -               |
| 0.9343 | 58450 | 0.0           | -               |
| 0.9351 | 58500 | 0.0           | -               |
| 0.9359 | 58550 | 0.0           | -               |
| 0.9367 | 58600 | 0.0           | -               |
| 0.9375 | 58650 | 0.0           | -               |
| 0.9383 | 58700 | 0.0           | -               |
| 0.9391 | 58750 | 0.0           | -               |
| 0.9399 | 58800 | 0.0           | -               |
| 0.9407 | 58850 | 0.0           | -               |
| 0.9415 | 58900 | 0.0           | -               |
| 0.9423 | 58950 | 0.0           | -               |
| 0.9430 | 59000 | 0.0           | -               |
| 0.9438 | 59050 | 0.0           | -               |
| 0.9446 | 59100 | 0.0           | -               |
| 0.9454 | 59150 | 0.0           | -               |
| 0.9462 | 59200 | 0.0           | -               |
| 0.9470 | 59250 | 0.0           | -               |
| 0.9478 | 59300 | 0.0           | -               |
| 0.9486 | 59350 | 0.0           | -               |
| 0.9494 | 59400 | 0.0           | -               |
| 0.9502 | 59450 | 0.0           | -               |
| 0.9510 | 59500 | 0.0           | -               |
| 0.9518 | 59550 | 0.0           | -               |
| 0.9526 | 59600 | 0.0           | -               |
| 0.9534 | 59650 | 0.0           | -               |
| 0.9542 | 59700 | 0.0           | -               |
| 0.9550 | 59750 | 0.0           | -               |
| 0.9558 | 59800 | 0.0           | -               |
| 0.9566 | 59850 | 0.0           | -               |
| 0.9574 | 59900 | 0.0           | -               |
| 0.9582 | 59950 | 0.0           | -               |
| 0.9590 | 60000 | 0.0           | -               |
| 0.9598 | 60050 | 0.0           | -               |
| 0.9606 | 60100 | 0.0           | -               |
| 0.9614 | 60150 | 0.0           | -               |
| 0.9622 | 60200 | 0.0           | -               |
| 0.9630 | 60250 | 0.0           | -               |
| 0.9638 | 60300 | 0.0           | -               |
| 0.9646 | 60350 | 0.0           | -               |
| 0.9654 | 60400 | 0.0           | -               |
| 0.9662 | 60450 | 0.0           | -               |
| 0.9670 | 60500 | 0.0           | -               |
| 0.9678 | 60550 | 0.0           | -               |
| 0.9686 | 60600 | 0.0           | -               |
| 0.9694 | 60650 | 0.0           | -               |
| 0.9702 | 60700 | 0.0           | -               |
| 0.9710 | 60750 | 0.0           | -               |
| 0.9718 | 60800 | 0.0           | -               |
| 0.9726 | 60850 | 0.0           | -               |
| 0.9734 | 60900 | 0.0           | -               |
| 0.9742 | 60950 | 0.0           | -               |
| 0.9750 | 61000 | 0.0           | -               |
| 0.9758 | 61050 | 0.0           | -               |
| 0.9766 | 61100 | 0.0           | -               |
| 0.9774 | 61150 | 0.0           | -               |
| 0.9782 | 61200 | 0.0           | -               |
| 0.9790 | 61250 | 0.0           | -               |
| 0.9798 | 61300 | 0.0           | -               |
| 0.9806 | 61350 | 0.0           | -               |
| 0.9814 | 61400 | 0.0           | -               |
| 0.9822 | 61450 | 0.0           | -               |
| 0.9830 | 61500 | 0.0           | -               |
| 0.9838 | 61550 | 0.0           | -               |
| 0.9846 | 61600 | 0.0           | -               |
| 0.9854 | 61650 | 0.0           | -               |
| 0.9862 | 61700 | 0.0           | -               |
| 0.9870 | 61750 | 0.0           | -               |
| 0.9878 | 61800 | 0.0           | -               |
| 0.9886 | 61850 | 0.0           | -               |
| 0.9894 | 61900 | 0.0           | -               |
| 0.9902 | 61950 | 0.0           | -               |
| 0.9910 | 62000 | 0.0           | -               |
| 0.9918 | 62050 | 0.0           | -               |
| 0.9926 | 62100 | 0.0           | -               |
| 0.9934 | 62150 | 0.0           | -               |
| 0.9942 | 62200 | 0.0           | -               |
| 0.9950 | 62250 | 0.0           | -               |
| 0.9958 | 62300 | 0.0           | -               |
| 0.9966 | 62350 | 0.0           | -               |
| 0.9974 | 62400 | 0.0           | -               |
| 0.9982 | 62450 | 0.0           | -               |
| 0.9990 | 62500 | 0.0           | -               |
| 0.9998 | 62550 | 0.0           | -               |
| 1.0    | 62563 | -             | 0.0913          |

### Framework Versions
- Python: 3.12.7
- SetFit: 1.1.0
- Sentence Transformers: 3.3.1
- Transformers: 4.47.0
- PyTorch: 2.5.1+cu124
- Datasets: 3.1.0
- Tokenizers: 0.21.0

## 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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