
# SetFit

This is a [SetFit](https://github.com/huggingface/setfit) model that can be used for Text Classification. 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:** [Unknown](https://huggingface.co/unknown) -->
- **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:** 52 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                                                                                                                                                                                                                                                                              |
|:------|:--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| 0     | <ul><li>'what servers are currently active?'</li><li>'can you provide a list of all available servers?'</li><li>'which servers are online right now?'</li></ul>                                                                                                                       |
| 1     | <ul><li>'how often does the user encounter failures?'</li><li>'how many times do users typically fail to complete tasks?'</li><li>'what is the usual frequency of user failures?'</li></ul>                                                                                           |
| 2     | <ul><li>'what are the most common issues with the operational service?'</li><li>'how often does the service experience failures?'</li><li>'what is the frequency of service disruptions?'</li></ul>                                                                                   |
| 3     | <ul><li>'how often do you encounter issues with your workflows?'</li><li>'what are the most recurring problems you face in your workflows?'</li><li>'could you specify the regular stumbling blocks in your workflows?'</li></ul>                                                     |
| 4     | <ul><li>'what operational functions are excluded from rto?'</li><li>'list operational functions that fall outside the rto.'</li><li>'which operational functions are beyond the scope of rto?'</li></ul>                                                                              |
| 5     | <ul><li>'when is the upcoming dr drill scheduled?'</li><li>"what's the timetable for the next disaster recovery drill?"</li><li>'can you provide details on the forthcoming dr drill?'</li></ul>                                                                                      |
| 6     | <ul><li>'how often do users log in?'</li><li>'what are the typical login frequencies for users?'</li><li>'how frequently do users access their accounts?'</li></ul>                                                                                                                   |
| 7     | <ul><li>'has the operational service achieved rto?'</li><li>'did the service attain rto?'</li><li>'has the service met rto?'</li></ul>                                                                                                                                                |
| 8     | <ul><li>'what is the primary server utilized in our disaster recovery drill?'</li><li>'which server sees the most activity during our dr exercises?'</li><li>'identify the dominant server in our dr drill.'</li></ul>                                                                |
| 9     | <ul><li>'has the workflow rto been achieved?'</li><li>'did the workflow meet its rto?'</li><li>'has the workflow attained the rto?'</li></ul>                                                                                                                                         |
| 10    | <ul><li>'how can i address data delay issues?'</li><li>'what strategies can mitigate data latency?'</li><li>'ways to reduce data lag in my system?'</li></ul>                                                                                                                         |
| 11    | <ul><li>'what are the regular updates in the infra component?'</li><li>'how often does the infra component undergo modifications?'</li><li>'can you list the recurring alterations in the infra component?'</li></ul>                                                                 |
| 12    | <ul><li>'what is the purpose of the dr ready workflow?'</li><li>'how does the dr ready workflow ensure business continuity?'</li><li>'can you explain the significance of the dr ready workflow?'</li></ul>                                                                           |
| 13    | <ul><li>'how can i set up monitoring for my service?'</li><li>'what are the best practices for monitoring a service?'</li><li>'which tools can i use for service monitoring?'</li></ul>                                                                                               |
| 14    | <ul><li>'what is dr health status'</li><li>'how is your morning so far'</li><li>'how are you getting on'</li></ul>                                                                                                                                                                    |
| 15    | <ul><li>'what is the status of the dr ready operational service?'</li><li>'can you provide an update on the dr ready operational service?'</li><li>'what is the current operational status of the dr ready service?'</li></ul>                                                        |
| 16    | <ul><li>'can you give me the details of the data center?'</li><li>'what are the specifications of the data center?'</li><li>'how is the data center structured?'</li></ul>                                                                                                            |
| 17    | <ul><li>'could you elaborate on the significance of operational function rpo in our workflow?'</li><li>"what are the implications of yesterday's operational function rpo configuration?"</li><li>'where can i access the operational function rpo details from yesterday?'</li></ul> |
| 18    | <ul><li>'how does operational service priority influence resource allocation decisions?'</li><li>'can you provide examples of different levels of operational service priority?'</li><li>'what criteria are used to determine the operational service priority?'</li></ul>            |
| 19    | <ul><li>'what are the available sites?'</li><li>'can you list me the available sites?'</li><li>'how many sites are available right now?'</li></ul>                                                                                                                                    |
| 20    | <ul><li>'what is the status of replication?'</li><li>'can you provide details about replication?'</li><li>'could you provide me with the specifics of the replication?'</li></ul>                                                                                                     |
| 21    | <ul><li>'can you give me an overview of our pr sites?'</li><li>'what functionalities do the pr sites offer?'</li><li>'how many pr sites do we currently operate?'</li></ul>                                                                                                           |
| 22    | <ul><li>'can you provide details about our dr sites?'</li><li>'how do dr sites contribute to our disaster recovery strategy?'</li><li>'what functionalities do our dr sites offer?'</li></ul>                                                                                         |
| 23    | <ul><li>'what are the near dr sites we have?'</li><li>'can you provide an overview of the near dr sites?'</li><li>'please list the near dr sites in our network.'</li></ul>                                                                                                           |
| 24    | <ul><li>'can you provide me with the details of the user account?'</li><li>"i need information about the user's profile."</li><li>'show me the user details, please.'</li></ul>                                                                                                       |
| 25    | <ul><li>'how many infra objects are configured in the drill?'</li><li>'can you give me the names of the infra objects?'</li><li>'get me the list of infra objects available.'</li></ul>                                                                                               |
| 26    | <ul><li>'show me the low priority infra objects.'</li><li>'can you list the infra objects with low priority?'</li><li>'display infra objects categorized as low importance.'</li></ul>                                                                                                |
| 27    | <ul><li>'show me the finished workflows.'</li><li>'can you list the concluded workflows?'</li><li>'display workflows marked as done.'</li></ul>                                                                                                                                       |
| 28    | <ul><li>'show me the workflows awaiting approval.'</li><li>'can you list the pending workflows?'</li><li>'display workflows marked as waiting.'</li></ul>                                                                                                                             |
| 29    | <ul><li>'show me workflows encountering errors.'</li><li>'can you list workflows with errors?'</li><li>'display workflows experiencing errors.'</li></ul>                                                                                                                             |
| 30    | <ul><li>'show me workflows that are currently paused.'</li><li>'can you list workflows that have been paused?'</li><li>'display workflows that are on pause.'</li></ul>                                                                                                               |
| 31    | <ul><li>'when was the last dr drill conducted?'</li><li>'what was the date of the most recent disaster recovery (dr) drill?'</li><li>'how recently did we perform a dr drill?'</li></ul>                                                                                              |
| 32    | <ul><li>'which servers have been frequently failing recently?'</li><li>'can you list the servers that have experienced frequent failures?'</li><li>'how often do certain servers fail within our infrastructure?'</li></ul>                                                           |
| 33    | <ul><li>'how often do we experience rpo deviations?'</li><li>'what is the regularity of rpo deviations in our systems?'</li><li>'how frequently do rpo deviations occur within our environment?'</li></ul>                                                                            |
| 34    | <ul><li>'what servers are currently operational in our network?'</li><li>'which servers are presently online and serving requests?'</li><li>'what is the status of active servers in our infrastructure?'</li></ul>                                                                   |
| 35    | <ul><li>'which servers are currently offline and inactive in our network?'</li><li>'what is the status of inactive servers in our infrastructure?'</li><li>'can you provide a list of servers that are currently inactive?'</li></ul>                                                 |
| 36    | <ul><li>'what servers are currently pending deployment in our system?'</li><li>'can you provide a list of servers awaiting installation?'</li><li>'which servers are pending setup in our infrastructure?'</li></ul>                                                                  |
| 37    | <ul><li>'can you provide a list of databases currently in our system?'</li><li>'which databases are currently active in our environment?'</li><li>'what is the inventory of databases present in our infrastructure?'</li></ul>                                                       |
| 38    | <ul><li>'what are the key operational functions of our organization?'</li><li>'can you outline the primary operational functions within our department?'</li><li>'what is the role of operational functions in our business model?'</li></ul>                                         |
| 39    | <ul><li>'what services are included in our operational service list?'</li><li>'can you provide a comprehensive overview of the operational services offered by our organization?'</li><li>'how are the operational services categorized within our service list?'</li></ul>           |
| 40    | <ul><li>'what comprises the live database roster within our infrastructure?'</li><li>'how do we outline and categorize dynamic databases in our system?'</li><li>'can you furnish a roster of databases deemed operational within our organization?'</li></ul>                        |
| 41    | <ul><li>'what defines an inactive database within our system?'</li><li>'how do we categorize databases as inactive in our infrastructure?'</li><li>'can you provide a list of databases currently deemed inactive within our organization?'</li></ul>                                 |
| 42    | <ul><li>'what is the purpose of the pr database in our system?'</li><li>'can you provide an overview of the data stored in the pr database?'</li><li>'how is the pr database structured and organized?'</li></ul>                                                                     |
| 43    | <ul><li>'what is the purpose of the dr database in our system?'</li><li>'can you describe the structure and architecture of the dr database?'</li><li>'how is data replicated to the dr database for disaster recovery purposes?'</li></ul>                                           |
| 44    | <ul><li>'what is the purpose of the neardr database in our system?'</li><li>'can you describe the architecture and design of the neardr database?'</li><li>'how does data replication work between the primary database and the neardr database?'</li></ul>                           |
| 45    | <ul><li>'what defines a "high priority infra object" in our system?'</li><li>'can you explain the significance of high priority infra objects in our infrastructure?'</li><li>'how are high priority infra objects identified and classified?'</li></ul>                              |
| 46    | <ul><li>'what defines a "medium priority infra object" in our system?'</li><li>'how are medium priority infra objects categorized and managed?'</li><li>'can you explain the role of medium priority infra objects in our infrastructure?'</li></ul>                                  |
| 47    | <ul><li>'what constitutes a workflow in our system?'</li><li>'how are workflows defined and managed within our organization?'</li><li>'can you provide an overview of the workflow list in our system?'</li></ul>                                                                     |
| 48    | <ul><li>'what constitutes a profile in our system?'</li><li>'how are profiles defined and managed within our organization?'</li><li>'can you provide an overview of the profiles in our system?'</li></ul>                                                                            |
| 49    | <ul><li>'how many workflows are currently active in our system?'</li><li>'can you provide an overview of the workflows currently in progress?'</li><li>'what is the total count of running workflows at this moment?'</li></ul>                                                       |
| 50    | <ul><li>'how are aborted workflows documented for auditing purposes?'</li><li>'can aborted workflows be flagged for automatic resolution attempts?'</li><li>'what measures are in place to prevent data loss during workflow abortion?'</li></ul>                                     |
| 51    | <ul><li>'i need help'</li><li>'i need you to help me'</li><li>'i need you to do something for me'</li></ul>                                                                                                                                                                           |

## Evaluation

### Metrics
| Label   | Accuracy |
|:--------|:---------|
| **all** | 0.9996   |

## 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("deepak1197/setfit-model")
# Run inference
preds = model("how frequently is the infra component revised?")
```

<!--
### 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.*
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<!--
## 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.*
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### Recommendations

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## Training Details

### Training Set Metrics
| Training set | Min | Median | Max |
|:-------------|:----|:-------|:----|
| Word count   | 2   | 9.6353 | 21  |

| Label | Training Sample Count |
|:------|:----------------------|
| 0     | 50                    |
| 1     | 50                    |
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| 51    | 19                    |

### Training Hyperparameters
- batch_size: (16, 16)
- num_epochs: (10, 10)
- max_steps: -1
- sampling_strategy: oversampling
- num_iterations: 20
- body_learning_rate: (2e-05, 2e-05)
- head_learning_rate: 2e-05
- loss: CosineSimilarityLoss
- distance_metric: cosine_distance
- margin: 0.25
- end_to_end: False
- use_amp: False
- warmup_proportion: 0.1
- seed: 42
- eval_max_steps: -1
- load_best_model_at_end: False

### Training Results
| Epoch  | Step  | Training Loss | Validation Loss |
|:------:|:-----:|:-------------:|:---------------:|
| 0.0002 | 1     | 0.2354        | -               |
| 0.0078 | 50    | 0.2481        | -               |
| 0.0156 | 100   | 0.2628        | -               |
| 0.0234 | 150   | 0.2441        | -               |
| 0.0311 | 200   | 0.2394        | -               |
| 0.0389 | 250   | 0.2518        | -               |
| 0.0467 | 300   | 0.2361        | -               |
| 0.0545 | 350   | 0.2385        | -               |
| 0.0623 | 400   | 0.2389        | -               |
| 0.0701 | 450   | 0.2456        | -               |
| 0.0778 | 500   | 0.2358        | -               |
| 0.0856 | 550   | 0.2172        | -               |
| 0.0934 | 600   | 0.2266        | -               |
| 0.1012 | 650   | 0.1845        | -               |
| 0.1090 | 700   | 0.1749        | -               |
| 0.1168 | 750   | 0.1716        | -               |
| 0.1246 | 800   | 0.1743        | -               |
| 0.1323 | 850   | 0.1758        | -               |
| 0.1401 | 900   | 0.1361        | -               |
| 0.1479 | 950   | 0.1668        | -               |
| 0.1557 | 1000  | 0.1673        | -               |
| 0.1635 | 1050  | 0.1637        | -               |
| 0.1713 | 1100  | 0.1236        | -               |
| 0.1790 | 1150  | 0.143         | -               |
| 0.1868 | 1200  | 0.1102        | -               |
| 0.1946 | 1250  | 0.1099        | -               |
| 0.2024 | 1300  | 0.1477        | -               |
| 0.0002 | 1     | 0.0963        | -               |
| 0.0078 | 50    | 0.0847        | -               |
| 0.0156 | 100   | 0.1457        | -               |
| 0.0234 | 150   | 0.1145        | -               |
| 0.0311 | 200   | 0.1095        | -               |
| 0.0389 | 250   | 0.0882        | -               |
| 0.0467 | 300   | 0.085         | -               |
| 0.0545 | 350   | 0.062         | -               |
| 0.0623 | 400   | 0.0592        | -               |
| 0.0701 | 450   | 0.0992        | -               |
| 0.0778 | 500   | 0.0826        | -               |
| 0.0856 | 550   | 0.1047        | -               |
| 0.0934 | 600   | 0.0501        | -               |
| 0.1012 | 650   | 0.0665        | -               |
| 0.1090 | 700   | 0.0235        | -               |
| 0.1168 | 750   | 0.0237        | -               |
| 0.1246 | 800   | 0.0531        | -               |
| 0.1323 | 850   | 0.0664        | -               |
| 0.1401 | 900   | 0.1035        | -               |
| 0.1479 | 950   | 0.0631        | -               |
| 0.1557 | 1000  | 0.0253        | -               |
| 0.1635 | 1050  | 0.0663        | -               |
| 0.1713 | 1100  | 0.0195        | -               |
| 0.1790 | 1150  | 0.0385        | -               |
| 0.1868 | 1200  | 0.009         | -               |
| 0.1946 | 1250  | 0.0204        | -               |
| 0.2024 | 1300  | 0.0482        | -               |
| 0.2102 | 1350  | 0.0463        | -               |
| 0.2180 | 1400  | 0.133         | -               |
| 0.2258 | 1450  | 0.0898        | -               |
| 0.2335 | 1500  | 0.0093        | -               |
| 0.2413 | 1550  | 0.011         | -               |
| 0.2491 | 1600  | 0.0137        | -               |
| 0.2569 | 1650  | 0.008         | -               |
| 0.2647 | 1700  | 0.0271        | -               |
| 0.2725 | 1750  | 0.0077        | -               |
| 0.2802 | 1800  | 0.0321        | -               |
| 0.2880 | 1850  | 0.0083        | -               |
| 0.2958 | 1900  | 0.0048        | -               |
| 0.3036 | 1950  | 0.0071        | -               |
| 0.3114 | 2000  | 0.0061        | -               |
| 0.3192 | 2050  | 0.0523        | -               |
| 0.3270 | 2100  | 0.0077        | -               |
| 0.3347 | 2150  | 0.0039        | -               |
| 0.3425 | 2200  | 0.0049        | -               |
| 0.3503 | 2250  | 0.0647        | -               |
| 0.3581 | 2300  | 0.0046        | -               |
| 0.3659 | 2350  | 0.0043        | -               |
| 0.3737 | 2400  | 0.0062        | -               |
| 0.3814 | 2450  | 0.0142        | -               |
| 0.3892 | 2500  | 0.027         | -               |
| 0.3970 | 2550  | 0.0102        | -               |
| 0.4048 | 2600  | 0.0021        | -               |
| 0.4126 | 2650  | 0.0032        | -               |
| 0.4204 | 2700  | 0.003         | -               |
| 0.4281 | 2750  | 0.0066        | -               |
| 0.4359 | 2800  | 0.0057        | -               |
| 0.4437 | 2850  | 0.0023        | -               |
| 0.4515 | 2900  | 0.0034        | -               |
| 0.4593 | 2950  | 0.0031        | -               |
| 0.4671 | 3000  | 0.0018        | -               |
| 0.4749 | 3050  | 0.0065        | -               |
| 0.4826 | 3100  | 0.0042        | -               |
| 0.4904 | 3150  | 0.0043        | -               |
| 0.4982 | 3200  | 0.0558        | -               |
| 0.5060 | 3250  | 0.0028        | -               |
| 0.5138 | 3300  | 0.0018        | -               |
| 0.5216 | 3350  | 0.0014        | -               |
| 0.5293 | 3400  | 0.0017        | -               |
| 0.5371 | 3450  | 0.0022        | -               |
| 0.5449 | 3500  | 0.002         | -               |
| 0.5527 | 3550  | 0.0052        | -               |
| 0.5605 | 3600  | 0.0022        | -               |
| 0.5683 | 3650  | 0.0029        | -               |
| 0.5761 | 3700  | 0.0017        | -               |
| 0.5838 | 3750  | 0.0027        | -               |
| 0.5916 | 3800  | 0.0017        | -               |
| 0.5994 | 3850  | 0.0198        | -               |
| 0.6072 | 3900  | 0.0103        | -               |
| 0.6150 | 3950  | 0.0018        | -               |
| 0.6228 | 4000  | 0.0062        | -               |
| 0.6305 | 4050  | 0.0018        | -               |
| 0.6383 | 4100  | 0.0017        | -               |
| 0.6461 | 4150  | 0.0023        | -               |
| 0.6539 | 4200  | 0.0011        | -               |
| 0.6617 | 4250  | 0.0014        | -               |
| 0.6695 | 4300  | 0.0581        | -               |
| 0.6773 | 4350  | 0.0525        | -               |
| 0.6850 | 4400  | 0.0012        | -               |
| 0.6928 | 4450  | 0.001         | -               |
| 0.7006 | 4500  | 0.0016        | -               |
| 0.7084 | 4550  | 0.0018        | -               |
| 0.7162 | 4600  | 0.0015        | -               |
| 0.7240 | 4650  | 0.001         | -               |
| 0.7317 | 4700  | 0.0006        | -               |
| 0.7395 | 4750  | 0.0016        | -               |
| 0.7473 | 4800  | 0.0012        | -               |
| 0.7551 | 4850  | 0.0006        | -               |
| 0.7629 | 4900  | 0.0015        | -               |
| 0.7707 | 4950  | 0.0005        | -               |
| 0.7785 | 5000  | 0.0008        | -               |
| 0.7862 | 5050  | 0.0006        | -               |
| 0.7940 | 5100  | 0.0005        | -               |
| 0.8018 | 5150  | 0.001         | -               |
| 0.8096 | 5200  | 0.0006        | -               |
| 0.8174 | 5250  | 0.0015        | -               |
| 0.8252 | 5300  | 0.0007        | -               |
| 0.8329 | 5350  | 0.0009        | -               |
| 0.8407 | 5400  | 0.0018        | -               |
| 0.8485 | 5450  | 0.0003        | -               |
| 0.8563 | 5500  | 0.0005        | -               |
| 0.8641 | 5550  | 0.0008        | -               |
| 0.8719 | 5600  | 0.0004        | -               |
| 0.8797 | 5650  | 0.0005        | -               |
| 0.8874 | 5700  | 0.0004        | -               |
| 0.8952 | 5750  | 0.0007        | -               |
| 0.9030 | 5800  | 0.0009        | -               |
| 0.9108 | 5850  | 0.0007        | -               |
| 0.9186 | 5900  | 0.0003        | -               |
| 0.9264 | 5950  | 0.0006        | -               |
| 0.9341 | 6000  | 0.0006        | -               |
| 0.9419 | 6050  | 0.0006        | -               |
| 0.9497 | 6100  | 0.0006        | -               |
| 0.9575 | 6150  | 0.0034        | -               |
| 0.9653 | 6200  | 0.0426        | -               |
| 0.9731 | 6250  | 0.0013        | -               |
| 0.9809 | 6300  | 0.0017        | -               |
| 0.9886 | 6350  | 0.0009        | -               |
| 0.9964 | 6400  | 0.0004        | -               |
| 1.0042 | 6450  | 0.0032        | -               |
| 1.0120 | 6500  | 0.0007        | -               |
| 1.0198 | 6550  | 0.0043        | -               |
| 1.0276 | 6600  | 0.0004        | -               |
| 1.0353 | 6650  | 0.0007        | -               |
| 1.0431 | 6700  | 0.0003        | -               |
| 1.0509 | 6750  | 0.0041        | -               |
| 1.0587 | 6800  | 0.0006        | -               |
| 1.0665 | 6850  | 0.0009        | -               |
| 1.0743 | 6900  | 0.005         | -               |
| 1.0820 | 6950  | 0.0002        | -               |
| 1.0898 | 7000  | 0.0007        | -               |
| 1.0976 | 7050  | 0.0004        | -               |
| 1.1054 | 7100  | 0.0004        | -               |
| 1.1132 | 7150  | 0.0014        | -               |
| 1.1210 | 7200  | 0.0005        | -               |
| 1.1288 | 7250  | 0.0003        | -               |
| 1.1365 | 7300  | 0.0002        | -               |
| 1.1443 | 7350  | 0.001         | -               |
| 1.1521 | 7400  | 0.0002        | -               |
| 1.1599 | 7450  | 0.0004        | -               |
| 1.1677 | 7500  | 0.0012        | -               |
| 1.1755 | 7550  | 0.0005        | -               |
| 1.1832 | 7600  | 0.0005        | -               |
| 1.1910 | 7650  | 0.0002        | -               |
| 1.1988 | 7700  | 0.0004        | -               |
| 1.2066 | 7750  | 0.0002        | -               |
| 1.2144 | 7800  | 0.0006        | -               |
| 1.2222 | 7850  | 0.0011        | -               |
| 1.2300 | 7900  | 0.0003        | -               |
| 1.2377 | 7950  | 0.0011        | -               |
| 1.2455 | 8000  | 0.0005        | -               |
| 1.2533 | 8050  | 0.0007        | -               |
| 1.2611 | 8100  | 0.0002        | -               |
| 1.2689 | 8150  | 0.0002        | -               |
| 1.2767 | 8200  | 0.0003        | -               |
| 1.2844 | 8250  | 0.0003        | -               |
| 1.2922 | 8300  | 0.001         | -               |
| 1.3000 | 8350  | 0.0002        | -               |
| 1.3078 | 8400  | 0.0002        | -               |
| 1.3156 | 8450  | 0.0138        | -               |
| 1.3234 | 8500  | 0.001         | -               |
| 1.3312 | 8550  | 0.0003        | -               |
| 1.3389 | 8600  | 0.0014        | -               |
| 1.3467 | 8650  | 0.0003        | -               |
| 1.3545 | 8700  | 0.0004        | -               |
| 1.3623 | 8750  | 0.0003        | -               |
| 1.3701 | 8800  | 0.0012        | -               |
| 1.3779 | 8850  | 0.0026        | -               |
| 1.3856 | 8900  | 0.0009        | -               |
| 1.3934 | 8950  | 0.0008        | -               |
| 1.4012 | 9000  | 0.0008        | -               |
| 1.4090 | 9050  | 0.001         | -               |
| 1.4168 | 9100  | 0.0003        | -               |
| 1.4246 | 9150  | 0.0537        | -               |
| 1.4324 | 9200  | 0.0005        | -               |
| 1.4401 | 9250  | 0.0004        | -               |
| 1.4479 | 9300  | 0.0009        | -               |
| 1.4557 | 9350  | 0.0002        | -               |
| 1.4635 | 9400  | 0.003         | -               |
| 1.4713 | 9450  | 0.0002        | -               |
| 1.4791 | 9500  | 0.0498        | -               |
| 1.4868 | 9550  | 0.0005        | -               |
| 1.4946 | 9600  | 0.0008        | -               |
| 1.5024 | 9650  | 0.0604        | -               |
| 1.5102 | 9700  | 0.0004        | -               |
| 1.5180 | 9750  | 0.0003        | -               |
| 1.5258 | 9800  | 0.0004        | -               |
| 1.5336 | 9850  | 0.0003        | -               |
| 1.5413 | 9900  | 0.0004        | -               |
| 1.5491 | 9950  | 0.0002        | -               |
| 1.5569 | 10000 | 0.0002        | -               |
| 1.5647 | 10050 | 0.0008        | -               |
| 1.5725 | 10100 | 0.0002        | -               |
| 1.5803 | 10150 | 0.0002        | -               |
| 1.5880 | 10200 | 0.0002        | -               |
| 1.5958 | 10250 | 0.0002        | -               |
| 1.6036 | 10300 | 0.0004        | -               |
| 1.6114 | 10350 | 0.0002        | -               |
| 1.6192 | 10400 | 0.0006        | -               |
| 1.6270 | 10450 | 0.0002        | -               |
| 1.6348 | 10500 | 0.0005        | -               |
| 1.6425 | 10550 | 0.0004        | -               |
| 1.6503 | 10600 | 0.0002        | -               |
| 1.6581 | 10650 | 0.0001        | -               |
| 1.6659 | 10700 | 0.0001        | -               |
| 1.6737 | 10750 | 0.0004        | -               |
| 1.6815 | 10800 | 0.0001        | -               |
| 1.6892 | 10850 | 0.0005        | -               |
| 1.6970 | 10900 | 0.0002        | -               |
| 1.7048 | 10950 | 0.0001        | -               |
| 1.7126 | 11000 | 0.0007        | -               |
| 1.7204 | 11050 | 0.0001        | -               |
| 1.7282 | 11100 | 0.0002        | -               |
| 1.7359 | 11150 | 0.0002        | -               |
| 1.7437 | 11200 | 0.0005        | -               |
| 1.7515 | 11250 | 0.0002        | -               |
| 1.7593 | 11300 | 0.0007        | -               |
| 1.7671 | 11350 | 0.0001        | -               |
| 1.7749 | 11400 | 0.0002        | -               |
| 1.7827 | 11450 | 0.0002        | -               |
| 1.7904 | 11500 | 0.0002        | -               |
| 1.7982 | 11550 | 0.0002        | -               |
| 1.8060 | 11600 | 0.0003        | -               |
| 1.8138 | 11650 | 0.0004        | -               |
| 1.8216 | 11700 | 0.0001        | -               |
| 1.8294 | 11750 | 0.0001        | -               |
| 1.8371 | 11800 | 0.0003        | -               |
| 1.8449 | 11850 | 0.0001        | -               |
| 1.8527 | 11900 | 0.007         | -               |
| 1.8605 | 11950 | 0.0001        | -               |
| 1.8683 | 12000 | 0.0002        | -               |
| 1.8761 | 12050 | 0.0002        | -               |
| 1.8839 | 12100 | 0.0002        | -               |
| 1.8916 | 12150 | 0.0001        | -               |
| 1.8994 | 12200 | 0.0002        | -               |
| 1.9072 | 12250 | 0.0001        | -               |
| 1.9150 | 12300 | 0.0002        | -               |
| 1.9228 | 12350 | 0.0001        | -               |
| 1.9306 | 12400 | 0.0003        | -               |
| 1.9383 | 12450 | 0.0001        | -               |
| 1.9461 | 12500 | 0.0003        | -               |
| 1.9539 | 12550 | 0.0001        | -               |
| 1.9617 | 12600 | 0.0002        | -               |
| 1.9695 | 12650 | 0.0599        | -               |
| 1.9773 | 12700 | 0.0001        | -               |
| 1.9851 | 12750 | 0.0004        | -               |
| 1.9928 | 12800 | 0.0001        | -               |
| 2.0006 | 12850 | 0.0003        | -               |
| 2.0084 | 12900 | 0.0002        | -               |
| 2.0162 | 12950 | 0.0002        | -               |
| 2.0240 | 13000 | 0.0001        | -               |
| 2.0318 | 13050 | 0.0001        | -               |
| 2.0395 | 13100 | 0.0007        | -               |
| 2.0473 | 13150 | 0.0001        | -               |
| 2.0551 | 13200 | 0.0001        | -               |
| 2.0629 | 13250 | 0.0001        | -               |
| 2.0707 | 13300 | 0.0002        | -               |
| 2.0785 | 13350 | 0.0001        | -               |
| 2.0863 | 13400 | 0.0002        | -               |
| 2.0940 | 13450 | 0.0001        | -               |
| 2.1018 | 13500 | 0.0001        | -               |
| 2.1096 | 13550 | 0.0002        | -               |
| 2.1174 | 13600 | 0.0001        | -               |
| 2.1252 | 13650 | 0.0002        | -               |
| 2.1330 | 13700 | 0.0001        | -               |
| 2.1407 | 13750 | 0.0001        | -               |
| 2.1485 | 13800 | 0.0002        | -               |
| 2.1563 | 13850 | 0.0001        | -               |
| 2.1641 | 13900 | 0.0002        | -               |
| 2.1719 | 13950 | 0.0002        | -               |
| 2.1797 | 14000 | 0.0001        | -               |
| 2.1875 | 14050 | 0.0002        | -               |
| 2.1952 | 14100 | 0.0551        | -               |
| 2.2030 | 14150 | 0.0013        | -               |
| 2.2108 | 14200 | 0.002         | -               |
| 2.2186 | 14250 | 0.0051        | -               |
| 2.2264 | 14300 | 0.0004        | -               |
| 2.2342 | 14350 | 0.0009        | -               |
| 2.2419 | 14400 | 0.0002        | -               |
| 2.2497 | 14450 | 0.001         | -               |
| 2.2575 | 14500 | 0.0005        | -               |
| 2.2653 | 14550 | 0.0001        | -               |
| 2.2731 | 14600 | 0.0001        | -               |
| 2.2809 | 14650 | 0.0002        | -               |
| 2.2887 | 14700 | 0.0003        | -               |
| 2.2964 | 14750 | 0.0002        | -               |
| 2.3042 | 14800 | 0.0004        | -               |
| 2.3120 | 14850 | 0.0001        | -               |
| 2.3198 | 14900 | 0.0001        | -               |
| 2.3276 | 14950 | 0.0003        | -               |
| 2.3354 | 15000 | 0.0002        | -               |
| 2.3431 | 15050 | 0.0001        | -               |
| 2.3509 | 15100 | 0.0002        | -               |
| 2.3587 | 15150 | 0.0585        | -               |
| 2.3665 | 15200 | 0.0001        | -               |
| 2.3743 | 15250 | 0.0001        | -               |
| 2.3821 | 15300 | 0.0001        | -               |
| 2.3898 | 15350 | 0.0003        | -               |
| 2.3976 | 15400 | 0.0001        | -               |
| 2.4054 | 15450 | 0.0002        | -               |
| 2.4132 | 15500 | 0.0001        | -               |
| 2.4210 | 15550 | 0.0001        | -               |
| 2.4288 | 15600 | 0.0001        | -               |
| 2.4366 | 15650 | 0.0003        | -               |
| 2.4443 | 15700 | 0.0001        | -               |
| 2.4521 | 15750 | 0.0003        | -               |
| 2.4599 | 15800 | 0.0001        | -               |
| 2.4677 | 15850 | 0.0002        | -               |
| 2.4755 | 15900 | 0.0002        | -               |
| 2.4833 | 15950 | 0.0001        | -               |
| 2.4910 | 16000 | 0.0001        | -               |
| 2.4988 | 16050 | 0.0005        | -               |
| 2.5066 | 16100 | 0.0001        | -               |
| 2.5144 | 16150 | 0.0001        | -               |
| 2.5222 | 16200 | 0.0458        | -               |
| 2.5300 | 16250 | 0.0001        | -               |
| 2.5378 | 16300 | 0.0001        | -               |
| 2.5455 | 16350 | 0.0001        | -               |
| 2.5533 | 16400 | 0.0001        | -               |
| 2.5611 | 16450 | 0.0001        | -               |
| 2.5689 | 16500 | 0.0001        | -               |
| 2.5767 | 16550 | 0.0001        | -               |
| 2.5845 | 16600 | 0.0001        | -               |
| 2.5922 | 16650 | 0.0003        | -               |
| 2.6000 | 16700 | 0.0002        | -               |
| 2.6078 | 16750 | 0.0001        | -               |
| 2.6156 | 16800 | 0.0001        | -               |
| 2.6234 | 16850 | 0.0001        | -               |
| 2.6312 | 16900 | 0.0001        | -               |
| 2.6390 | 16950 | 0.0001        | -               |
| 2.6467 | 17000 | 0.0001        | -               |
| 2.6545 | 17050 | 0.0001        | -               |
| 2.6623 | 17100 | 0.061         | -               |
| 2.6701 | 17150 | 0.0001        | -               |
| 2.6779 | 17200 | 0.0001        | -               |
| 2.6857 | 17250 | 0.0001        | -               |
| 2.6934 | 17300 | 0.0002        | -               |
| 2.7012 | 17350 | 0.0001        | -               |
| 2.7090 | 17400 | 0.0001        | -               |
| 2.7168 | 17450 | 0.0001        | -               |
| 2.7246 | 17500 | 0.0001        | -               |
| 2.7324 | 17550 | 0.0002        | -               |
| 2.7402 | 17600 | 0.0001        | -               |
| 2.7479 | 17650 | 0.0001        | -               |
| 2.7557 | 17700 | 0.0001        | -               |
| 2.7635 | 17750 | 0.0001        | -               |
| 2.7713 | 17800 | 0.0001        | -               |
| 2.7791 | 17850 | 0.0001        | -               |
| 2.7869 | 17900 | 0.0001        | -               |
| 2.7946 | 17950 | 0.0001        | -               |
| 2.8024 | 18000 | 0.0601        | -               |
| 2.8102 | 18050 | 0.0002        | -               |
| 2.8180 | 18100 | 0.0001        | -               |
| 2.8258 | 18150 | 0.0002        | -               |
| 2.8336 | 18200 | 0.0001        | -               |
| 2.8414 | 18250 | 0.0004        | -               |
| 2.8491 | 18300 | 0.0001        | -               |
| 2.8569 | 18350 | 0.0002        | -               |
| 2.8647 | 18400 | 0.0002        | -               |
| 2.8725 | 18450 | 0.0002        | -               |
| 2.8803 | 18500 | 0.0001        | -               |
| 2.8881 | 18550 | 0.0001        | -               |
| 2.8958 | 18600 | 0.0003        | -               |
| 2.9036 | 18650 | 0.0002        | -               |
| 2.9114 | 18700 | 0.0001        | -               |
| 2.9192 | 18750 | 0.0001        | -               |
| 2.9270 | 18800 | 0.0001        | -               |
| 2.9348 | 18850 | 0.0001        | -               |
| 2.9426 | 18900 | 0.0001        | -               |
| 2.9503 | 18950 | 0.0           | -               |
| 2.9581 | 19000 | 0.0044        | -               |
| 2.9659 | 19050 | 0.0001        | -               |
| 2.9737 | 19100 | 0.0001        | -               |
| 2.9815 | 19150 | 0.0001        | -               |
| 2.9893 | 19200 | 0.0002        | -               |
| 2.9970 | 19250 | 0.0001        | -               |
| 3.0048 | 19300 | 0.0001        | -               |
| 3.0126 | 19350 | 0.0001        | -               |
| 3.0204 | 19400 | 0.0001        | -               |
| 3.0282 | 19450 | 0.0001        | -               |
| 3.0360 | 19500 | 0.0001        | -               |
| 3.0437 | 19550 | 0.0002        | -               |
| 3.0515 | 19600 | 0.0001        | -               |
| 3.0593 | 19650 | 0.0001        | -               |
| 3.0671 | 19700 | 0.0009        | -               |
| 3.0749 | 19750 | 0.0001        | -               |
| 3.0827 | 19800 | 0.0           | -               |
| 3.0905 | 19850 | 0.0002        | -               |
| 3.0982 | 19900 | 0.0001        | -               |
| 3.1060 | 19950 | 0.0002        | -               |
| 3.1138 | 20000 | 0.0002        | -               |
| 3.1216 | 20050 | 0.0001        | -               |
| 3.1294 | 20100 | 0.0002        | -               |
| 3.1372 | 20150 | 0.0002        | -               |
| 3.1449 | 20200 | 0.0002        | -               |
| 3.1527 | 20250 | 0.0001        | -               |
| 3.1605 | 20300 | 0.0002        | -               |
| 3.1683 | 20350 | 0.0001        | -               |
| 3.1761 | 20400 | 0.0005        | -               |
| 3.1839 | 20450 | 0.0001        | -               |
| 3.1917 | 20500 | 0.0001        | -               |
| 3.1994 | 20550 | 0.0011        | -               |
| 3.2072 | 20600 | 0.0002        | -               |
| 3.2150 | 20650 | 0.0001        | -               |
| 3.2228 | 20700 | 0.0002        | -               |
| 3.2306 | 20750 | 0.0002        | -               |
| 3.2384 | 20800 | 0.0001        | -               |
| 3.2461 | 20850 | 0.0001        | -               |
| 3.2539 | 20900 | 0.0001        | -               |
| 3.2617 | 20950 | 0.0           | -               |
| 3.2695 | 21000 | 0.0001        | -               |
| 3.2773 | 21050 | 0.0001        | -               |
| 3.2851 | 21100 | 0.0001        | -               |
| 3.2929 | 21150 | 0.0001        | -               |
| 3.3006 | 21200 | 0.0001        | -               |
| 3.3084 | 21250 | 0.0001        | -               |
| 3.3162 | 21300 | 0.0002        | -               |
| 3.3240 | 21350 | 0.0001        | -               |
| 3.3318 | 21400 | 0.0001        | -               |
| 3.3396 | 21450 | 0.0001        | -               |
| 3.3473 | 21500 | 0.0001        | -               |
| 3.3551 | 21550 | 0.0603        | -               |
| 3.3629 | 21600 | 0.0001        | -               |
| 3.3707 | 21650 | 0.0001        | -               |
| 3.3785 | 21700 | 0.0001        | -               |
| 3.3863 | 21750 | 0.0           | -               |
| 3.3941 | 21800 | 0.0001        | -               |
| 3.4018 | 21850 | 0.0001        | -               |
| 3.4096 | 21900 | 0.0001        | -               |
| 3.4174 | 21950 | 0.0001        | -               |
| 3.4252 | 22000 | 0.0001        | -               |
| 3.4330 | 22050 | 0.0001        | -               |
| 3.4408 | 22100 | 0.0001        | -               |
| 3.4485 | 22150 | 0.0001        | -               |
| 3.4563 | 22200 | 0.0001        | -               |
| 3.4641 | 22250 | 0.0001        | -               |
| 3.4719 | 22300 | 0.0001        | -               |
| 3.4797 | 22350 | 0.0001        | -               |
| 3.4875 | 22400 | 0.0001        | -               |
| 3.4953 | 22450 | 0.0001        | -               |
| 3.5030 | 22500 | 0.0001        | -               |
| 3.5108 | 22550 | 0.0001        | -               |
| 3.5186 | 22600 | 0.0002        | -               |
| 3.5264 | 22650 | 0.0           | -               |
| 3.5342 | 22700 | 0.0001        | -               |
| 3.5420 | 22750 | 0.0           | -               |
| 3.5497 | 22800 | 0.0001        | -               |
| 3.5575 | 22850 | 0.0001        | -               |
| 3.5653 | 22900 | 0.0002        | -               |
| 3.5731 | 22950 | 0.0002        | -               |
| 3.5809 | 23000 | 0.0002        | -               |
| 3.5887 | 23050 | 0.0002        | -               |
| 3.5965 | 23100 | 0.0002        | -               |
| 3.6042 | 23150 | 0.0005        | -               |
| 3.6120 | 23200 | 0.0001        | -               |
| 3.6198 | 23250 | 0.0002        | -               |
| 3.6276 | 23300 | 0.0001        | -               |
| 3.6354 | 23350 | 0.0001        | -               |
| 3.6432 | 23400 | 0.0001        | -               |
| 3.6509 | 23450 | 0.0002        | -               |
| 3.6587 | 23500 | 0.0001        | -               |
| 3.6665 | 23550 | 0.0001        | -               |
| 3.6743 | 23600 | 0.0001        | -               |
| 3.6821 | 23650 | 0.0002        | -               |
| 3.6899 | 23700 | 0.0001        | -               |
| 3.6976 | 23750 | 0.0001        | -               |
| 3.7054 | 23800 | 0.0001        | -               |
| 3.7132 | 23850 | 0.0001        | -               |
| 3.7210 | 23900 | 0.0007        | -               |
| 3.7288 | 23950 | 0.0001        | -               |
| 3.7366 | 24000 | 0.053         | -               |
| 3.7444 | 24050 | 0.0005        | -               |
| 3.7521 | 24100 | 0.0006        | -               |
| 3.7599 | 24150 | 0.0001        | -               |
| 3.7677 | 24200 | 0.0001        | -               |
| 3.7755 | 24250 | 0.0002        | -               |
| 3.7833 | 24300 | 0.0001        | -               |
| 3.7911 | 24350 | 0.0011        | -               |
| 3.7988 | 24400 | 0.0001        | -               |
| 3.8066 | 24450 | 0.0001        | -               |
| 3.8144 | 24500 | 0.0001        | -               |
| 3.8222 | 24550 | 0.0001        | -               |
| 3.8300 | 24600 | 0.0001        | -               |
| 3.8378 | 24650 | 0.0001        | -               |
| 3.8456 | 24700 | 0.0001        | -               |
| 3.8533 | 24750 | 0.0001        | -               |
| 3.8611 | 24800 | 0.0001        | -               |
| 3.8689 | 24850 | 0.0001        | -               |
| 3.8767 | 24900 | 0.0001        | -               |
| 3.8845 | 24950 | 0.0001        | -               |
| 3.8923 | 25000 | 0.0001        | -               |
| 3.9000 | 25050 | 0.0001        | -               |
| 3.9078 | 25100 | 0.0002        | -               |
| 3.9156 | 25150 | 0.0001        | -               |
| 3.9234 | 25200 | 0.0001        | -               |
| 3.9312 | 25250 | 0.0001        | -               |
| 3.9390 | 25300 | 0.0009        | -               |
| 3.9468 | 25350 | 0.0001        | -               |
| 3.9545 | 25400 | 0.0001        | -               |
| 3.9623 | 25450 | 0.0           | -               |
| 3.9701 | 25500 | 0.0001        | -               |
| 3.9779 | 25550 | 0.0001        | -               |
| 3.9857 | 25600 | 0.0001        | -               |
| 3.9935 | 25650 | 0.0001        | -               |
| 4.0012 | 25700 | 0.0001        | -               |
| 4.0090 | 25750 | 0.0001        | -               |
| 4.0168 | 25800 | 0.0002        | -               |
| 4.0246 | 25850 | 0.0           | -               |
| 4.0324 | 25900 | 0.0001        | -               |
| 4.0402 | 25950 | 0.0251        | -               |
| 4.0480 | 26000 | 0.0002        | -               |
| 4.0557 | 26050 | 0.0001        | -               |
| 4.0635 | 26100 | 0.0001        | -               |
| 4.0713 | 26150 | 0.0001        | -               |
| 4.0791 | 26200 | 0.0001        | -               |
| 4.0869 | 26250 | 0.0001        | -               |
| 4.0947 | 26300 | 0.0001        | -               |
| 4.1024 | 26350 | 0.0001        | -               |
| 4.1102 | 26400 | 0.0001        | -               |
| 4.1180 | 26450 | 0.0001        | -               |
| 4.1258 | 26500 | 0.0001        | -               |
| 4.1336 | 26550 | 0.0001        | -               |
| 4.1414 | 26600 | 0.0001        | -               |
| 4.1492 | 26650 | 0.0001        | -               |
| 4.1569 | 26700 | 0.0           | -               |
| 4.1647 | 26750 | 0.0002        | -               |
| 4.1725 | 26800 | 0.0001        | -               |
| 4.1803 | 26850 | 0.0001        | -               |
| 4.1881 | 26900 | 0.0001        | -               |
| 4.1959 | 26950 | 0.0007        | -               |
| 4.2036 | 27000 | 0.0001        | -               |
| 4.2114 | 27050 | 0.0001        | -               |
| 4.2192 | 27100 | 0.0001        | -               |
| 4.2270 | 27150 | 0.0001        | -               |
| 4.2348 | 27200 | 0.0001        | -               |
| 4.2426 | 27250 | 0.0001        | -               |
| 4.2504 | 27300 | 0.0001        | -               |
| 4.2581 | 27350 | 0.0002        | -               |
| 4.2659 | 27400 | 0.0001        | -               |
| 4.2737 | 27450 | 0.0001        | -               |
| 4.2815 | 27500 | 0.0001        | -               |
| 4.2893 | 27550 | 0.0001        | -               |
| 4.2971 | 27600 | 0.0001        | -               |
| 4.3048 | 27650 | 0.0001        | -               |
| 4.3126 | 27700 | 0.0001        | -               |
| 4.3204 | 27750 | 0.0002        | -               |
| 4.3282 | 27800 | 0.0           | -               |
| 4.3360 | 27850 | 0.0001        | -               |
| 4.3438 | 27900 | 0.0001        | -               |
| 4.3515 | 27950 | 0.0001        | -               |
| 4.3593 | 28000 | 0.0001        | -               |
| 4.3671 | 28050 | 0.0           | -               |
| 4.3749 | 28100 | 0.0001        | -               |
| 4.3827 | 28150 | 0.0001        | -               |
| 4.3905 | 28200 | 0.0001        | -               |
| 4.3983 | 28250 | 0.0034        | -               |
| 4.4060 | 28300 | 0.0           | -               |
| 4.4138 | 28350 | 0.0           | -               |
| 4.4216 | 28400 | 0.0001        | -               |
| 4.4294 | 28450 | 0.0001        | -               |
| 4.4372 | 28500 | 0.0001        | -               |
| 4.4450 | 28550 | 0.0           | -               |
| 4.4527 | 28600 | 0.0001        | -               |
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| 4.5695 | 29350 | 0.0001        | -               |
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| 4.6240 | 29700 | 0.0           | -               |
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| 4.7174 | 30300 | 0.0           | -               |
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| 4.7408 | 30450 | 0.0           | -               |
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| 4.7563 | 30550 | 0.0001        | -               |
| 4.7641 | 30600 | 0.0001        | -               |
| 4.7719 | 30650 | 0.0001        | -               |
| 4.7797 | 30700 | 0.0           | -               |
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| 4.8031 | 30850 | 0.0001        | -               |
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| 4.9198 | 31600 | 0.0003        | -               |
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| 4.9665 | 31900 | 0.0001        | -               |
| 4.9743 | 31950 | 0.0001        | -               |
| 4.9821 | 32000 | 0.0001        | -               |
| 4.9899 | 32050 | 0.0001        | -               |
| 4.9977 | 32100 | 0.0001        | -               |
| 5.0054 | 32150 | 0.0001        | -               |
| 5.0132 | 32200 | 0.0           | -               |
| 5.0210 | 32250 | 0.0001        | -               |
| 5.0288 | 32300 | 0.0           | -               |
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| 5.0444 | 32400 | 0.0001        | -               |
| 5.0522 | 32450 | 0.0001        | -               |
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| 5.0911 | 32700 | 0.0001        | -               |
| 5.0989 | 32750 | 0.0016        | -               |
| 5.1066 | 32800 | 0.0001        | -               |
| 5.1144 | 32850 | 0.0002        | -               |
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| 5.1300 | 32950 | 0.0001        | -               |
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| 5.1456 | 33050 | 0.0001        | -               |
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| 5.1611 | 33150 | 0.0001        | -               |
| 5.1689 | 33200 | 0.0001        | -               |
| 5.1767 | 33250 | 0.0001        | -               |
| 5.1845 | 33300 | 0.0001        | -               |
| 5.1923 | 33350 | 0.0025        | -               |
| 5.2001 | 33400 | 0.0001        | -               |
| 5.2078 | 33450 | 0.0           | -               |
| 5.2156 | 33500 | 0.0002        | -               |
| 5.2234 | 33550 | 0.0001        | -               |
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| 5.3168 | 34150 | 0.0001        | -               |
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| 5.3324 | 34250 | 0.0           | -               |
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| 5.3480 | 34350 | 0.0001        | -               |
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| 5.3791 | 34550 | 0.0066        | -               |
| 5.3869 | 34600 | 0.0002        | -               |
| 5.3947 | 34650 | 0.0001        | -               |
| 5.4025 | 34700 | 0.0015        | -               |
| 5.4102 | 34750 | 0.0           | -               |
| 5.4180 | 34800 | 0.0001        | -               |
| 5.4258 | 34850 | 0.0001        | -               |
| 5.4336 | 34900 | 0.0           | -               |
| 5.4414 | 34950 | 0.0001        | -               |
| 5.4492 | 35000 | 0.0           | -               |
| 5.4570 | 35050 | 0.0001        | -               |
| 5.4647 | 35100 | 0.0           | -               |
| 5.4725 | 35150 | 0.0           | -               |
| 5.4803 | 35200 | 0.0           | -               |
| 5.4881 | 35250 | 0.0001        | -               |
| 5.4959 | 35300 | 0.0           | -               |
| 5.5037 | 35350 | 0.0           | -               |
| 5.5114 | 35400 | 0.0           | -               |
| 5.5192 | 35450 | 0.0001        | -               |
| 5.5270 | 35500 | 0.0001        | -               |
| 5.5348 | 35550 | 0.0           | -               |
| 5.5426 | 35600 | 0.0001        | -               |
| 5.5504 | 35650 | 0.0001        | -               |
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| 5.5659 | 35750 | 0.0001        | -               |
| 5.5737 | 35800 | 0.0052        | -               |
| 5.5815 | 35850 | 0.0001        | -               |
| 5.5893 | 35900 | 0.006         | -               |
| 5.5971 | 35950 | 0.0           | -               |
| 5.6049 | 36000 | 0.0001        | -               |
| 5.6126 | 36050 | 0.0001        | -               |
| 5.6204 | 36100 | 0.0           | -               |
| 5.6282 | 36150 | 0.0001        | -               |
| 5.6360 | 36200 | 0.0001        | -               |
| 5.6438 | 36250 | 0.0001        | -               |
| 5.6516 | 36300 | 0.0001        | -               |
| 5.6593 | 36350 | 0.0001        | -               |
| 5.6671 | 36400 | 0.0           | -               |
| 5.6749 | 36450 | 0.0           | -               |
| 5.6827 | 36500 | 0.0001        | -               |
| 5.6905 | 36550 | 0.0001        | -               |
| 5.6983 | 36600 | 0.0           | -               |
| 5.7061 | 36650 | 0.0001        | -               |
| 5.7138 | 36700 | 0.0001        | -               |
| 5.7216 | 36750 | 0.0001        | -               |
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| 5.7450 | 36900 | 0.0001        | -               |
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| 5.8073 | 37300 | 0.0001        | -               |
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| 5.8228 | 37400 | 0.0001        | -               |
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| 5.8851 | 37800 | 0.0001        | -               |
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| 5.9085 | 37950 | 0.0001        | -               |
| 5.9162 | 38000 | 0.0001        | -               |
| 5.9240 | 38050 | 0.0           | -               |
| 5.9318 | 38100 | 0.0001        | -               |
| 5.9396 | 38150 | 0.0           | -               |
| 5.9474 | 38200 | 0.0001        | -               |
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| 5.9629 | 38300 | 0.0001        | -               |
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| 5.9785 | 38400 | 0.0001        | -               |
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| 5.9941 | 38500 | 0.0001        | -               |
| 6.0019 | 38550 | 0.0           | -               |
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| 6.0174 | 38650 | 0.0001        | -               |
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| 6.0564 | 38900 | 0.0001        | -               |
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| 6.0875 | 39100 | 0.0           | -               |
| 6.0953 | 39150 | 0.0           | -               |
| 6.1031 | 39200 | 0.0001        | -               |
| 6.1109 | 39250 | 0.0           | -               |
| 6.1186 | 39300 | 0.0           | -               |
| 6.1264 | 39350 | 0.0001        | -               |
| 6.1342 | 39400 | 0.0002        | -               |
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| 6.1653 | 39600 | 0.0001        | -               |
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| 6.1965 | 39800 | 0.0001        | -               |
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| 6.2198 | 39950 | 0.0001        | -               |
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| 6.2432 | 40100 | 0.0001        | -               |
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| 6.3132 | 40550 | 0.0001        | -               |
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| 6.3911 | 41050 | 0.0001        | -               |
| 6.3989 | 41100 | 0.0001        | -               |
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| 6.4144 | 41200 | 0.0001        | -               |
| 6.4222 | 41250 | 0.0001        | -               |
| 6.4300 | 41300 | 0.0001        | -               |
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| 6.4612 | 41500 | 0.0           | -               |
| 6.4689 | 41550 | 0.0001        | -               |
| 6.4767 | 41600 | 0.0001        | -               |
| 6.4845 | 41650 | 0.0           | -               |
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| 6.5001 | 41750 | 0.0001        | -               |
| 6.5079 | 41800 | 0.0           | -               |
| 6.5156 | 41850 | 0.0001        | -               |
| 6.5234 | 41900 | 0.0           | -               |
| 6.5312 | 41950 | 0.0           | -               |
| 6.5390 | 42000 | 0.0001        | -               |
| 6.5468 | 42050 | 0.0           | -               |
| 6.5546 | 42100 | 0.0           | -               |
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| 6.5701 | 42200 | 0.0001        | -               |
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| 6.5857 | 42300 | 0.0001        | -               |
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| 6.6013 | 42400 | 0.0001        | -               |
| 6.6091 | 42450 | 0.0002        | -               |
| 6.6168 | 42500 | 0.0001        | -               |
| 6.6246 | 42550 | 0.0           | -               |
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| 6.6402 | 42650 | 0.0           | -               |
| 6.6480 | 42700 | 0.0           | -               |
| 6.6558 | 42750 | 0.0001        | -               |
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| 6.6947 | 43000 | 0.0001        | -               |
| 6.7025 | 43050 | 0.0001        | -               |
| 6.7103 | 43100 | 0.0001        | -               |
| 6.7180 | 43150 | 0.0001        | -               |
| 6.7258 | 43200 | 0.0001        | -               |
| 6.7336 | 43250 | 0.0           | -               |
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| 6.7570 | 43400 | 0.0001        | -               |
| 6.7648 | 43450 | 0.0001        | -               |
| 6.7725 | 43500 | 0.0001        | -               |
| 6.7803 | 43550 | 0.0001        | -               |
| 6.7881 | 43600 | 0.0001        | -               |
| 6.7959 | 43650 | 0.0           | -               |
| 6.8037 | 43700 | 0.0           | -               |
| 6.8115 | 43750 | 0.0001        | -               |
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| 6.8270 | 43850 | 0.0001        | -               |
| 6.8348 | 43900 | 0.0004        | -               |
| 6.8426 | 43950 | 0.0001        | -               |
| 6.8504 | 44000 | 0.0           | -               |
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| 6.8660 | 44100 | 0.0001        | -               |
| 6.8737 | 44150 | 0.0           | -               |
| 6.8815 | 44200 | 0.0001        | -               |
| 6.8893 | 44250 | 0.0001        | -               |
| 6.8971 | 44300 | 0.0           | -               |
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| 6.9204 | 44450 | 0.0           | -               |
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| 6.9360 | 44550 | 0.0001        | -               |
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| 6.9516 | 44650 | 0.0001        | -               |
| 6.9594 | 44700 | 0.0001        | -               |
| 6.9671 | 44750 | 0.0001        | -               |
| 6.9749 | 44800 | 0.0           | -               |
| 6.9827 | 44850 | 0.0001        | -               |
| 6.9905 | 44900 | 0.0001        | -               |
| 6.9983 | 44950 | 0.0           | -               |
| 7.0061 | 45000 | 0.0           | -               |
| 7.0139 | 45050 | 0.0           | -               |
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| 7.0294 | 45150 | 0.0001        | -               |
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| 7.0450 | 45250 | 0.0001        | -               |
| 7.0528 | 45300 | 0.0001        | -               |
| 7.0606 | 45350 | 0.0001        | -               |
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| 7.0995 | 45600 | 0.0001        | -               |
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| 7.1384 | 45850 | 0.0001        | -               |
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| 7.1695 | 46050 | 0.0001        | -               |
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| 7.2007 | 46250 | 0.0           | -               |
| 7.2085 | 46300 | 0.0001        | -               |
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| 7.2318 | 46450 | 0.0001        | -               |
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| 7.2474 | 46550 | 0.0001        | -               |
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| 7.2707 | 46700 | 0.0001        | -               |
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| 7.3175 | 47000 | 0.0001        | -               |
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| 7.3719 | 47350 | 0.0001        | -               |
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| 7.3953 | 47500 | 0.0001        | -               |
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| 7.4342 | 47750 | 0.0001        | -               |
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| 7.4654 | 47950 | 0.0001        | -               |
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| 7.4965 | 48150 | 0.0001        | -               |
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| 7.5199 | 48300 | 0.0001        | -               |
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| 7.5354 | 48400 | 0.0001        | -               |
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| 7.5510 | 48500 | 0.0001        | -               |
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| 7.5899 | 48750 | 0.0001        | -               |
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| 7.6133 | 48900 | 0.0001        | -               |
| 7.6210 | 48950 | 0.0001        | -               |
| 7.6288 | 49000 | 0.0           | -               |
| 7.6366 | 49050 | 0.0           | -               |
| 7.6444 | 49100 | 0.0           | -               |
| 7.6522 | 49150 | 0.0018        | -               |
| 7.6600 | 49200 | 0.0           | -               |
| 7.6678 | 49250 | 0.0           | -               |
| 7.6755 | 49300 | 0.0           | -               |
| 7.6833 | 49350 | 0.0           | -               |
| 7.6911 | 49400 | 0.0001        | -               |
| 7.6989 | 49450 | 0.0           | -               |
| 7.7067 | 49500 | 0.0           | -               |
| 7.7145 | 49550 | 0.0           | -               |
| 7.7222 | 49600 | 0.0           | -               |
| 7.7300 | 49650 | 0.0001        | -               |
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| 7.7456 | 49750 | 0.0           | -               |
| 7.7534 | 49800 | 0.0           | -               |
| 7.7612 | 49850 | 0.0001        | -               |
| 7.7690 | 49900 | 0.0           | -               |
| 7.7767 | 49950 | 0.0           | -               |
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| 9.9953 | 64200 | 0.0           | -               |

### Framework Versions
- Python: 3.10.12
- SetFit: 1.0.3
- Sentence Transformers: 2.3.1
- Transformers: 4.35.2
- PyTorch: 2.1.0+cu121
- Datasets: 2.17.0
- Tokenizers: 0.15.2

## 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": "how does the dr database contribute to our organization's business continuity efforts?"}, {"text": "display workflows that are pending for approval."}, {"text": "how frequently is the infra component revised?"}, {"text": "what preparations were made for the last dr drill?"}, {"text": "provide details about the servers that are currently running."}], "pipeline_tag": "text-classification", "inference": true, "model-index": [{"name": "SetFit", "results": [{"task": {"type": "text-classification", "name": "Text Classification"}, "dataset": {"name": "Unknown", "type": "unknown", "split": "test"}, "metrics": [{"type": "accuracy", "value": 0.9996107434799533, "name": "Accuracy"}]}]}]}
setfit safetensors bert sentence-transformers text-classification generated_from_setfit_trainer arxiv:2209.11055 model-index region:us