---
tags:
- setfit
- sentence-transformers
- text-classification
- generated_from_setfit_trainer
widget:
- text: The escalating conflict has created a complex humanitarian emergency, with
widespread displacement and food insecurity.
- text: In regional security dialogues, participants are sharing national experiences
in disarmament, demobilization, and reintegration.
- text: Delegations highlight that national action plans on women, peace, and security
are increasingly backed by concrete budgetary allocations.
- text: The regional development agency announced a rural electrification program
designed to improve living conditions and support small business growth.
- text: The startup’s leadership is under intense strain after the product failed
to gain users.
metrics:
- f1_macro
- f1_binary
pipeline_tag: text-classification
library_name: setfit
inference: true
base_model: microsoft/harrier-oss-v1-0.6b
model-index:
- name: SetFit with microsoft/harrier-oss-v1-0.6b
results:
- task:
type: text-classification
name: Text Classification
dataset:
name: Unknown
type: unknown
split: test
metrics:
- type: f1_macro
value: 0.9814448345568677
name: F1_Macro
- type: f1_binary
value: 0.9794871794871794
name: F1_Binary
---
# SetFit with microsoft/harrier-oss-v1-0.6b
This is a [SetFit](https://github.com/huggingface/setfit) model that can be used for Text Classification. This SetFit model uses [microsoft/harrier-oss-v1-0.6b](https://huggingface.co/microsoft/harrier-oss-v1-0.6b) 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:** [microsoft/harrier-oss-v1-0.6b](https://huggingface.co/microsoft/harrier-oss-v1-0.6b)
- **Classification head:** a [LogisticRegression](https://scikit-learn.org/stable/modules/generated/sklearn.linear_model.LogisticRegression.html) instance
- **Maximum Sequence Length:** 32768 tokens
- **Number of Classes:** 2 classes
### 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 |
|:---------|:-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| positive | - 'The 1980s Latin American debt crisis revealed the dangers of predatory lending, a problem that persists today in the form of sovereign debt traps.'
- 'The widespread burnout among health workers is now a workforce crisis.'
- 'The melting of permafrost in the Arctic is releasing vast amounts of methane, accelerating the pace of global warming.'
|
| negative | - '*Crisis: The Battle for Europe* is a wargame where players must navigate the complex alliances and betrayals of World War I.'
- 'With enhanced disaster preparedness exercises, emergency responders are improving coordination across agencies.'
- 'The department is conducting a review of its environmental policies.'
|
## Evaluation
### Metrics
| Label | F1_Macro | F1_Binary |
|:--------|:---------|:----------|
| **all** | 0.9814 | 0.9795 |
## 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("fefofico/crisis_trained")
# Run inference
preds = model("The startup’s leadership is under intense strain after the product failed to gain users.")
```
## Training Details
### Training Set Metrics
| Training set | Min | Median | Max |
|:-------------|:----|:--------|:----|
| Word count | 5 | 16.7702 | 37 |
| Label | Training Sample Count |
|:---------|:----------------------|
| negative | 973 |
| positive | 768 |
### 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: 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 |
|:------:|:-----:|:-------------:|:---------------:|
| 0.0002 | 1 | 0.2579 | - |
| 0.0046 | 20 | 0.244 | - |
| 0.0092 | 40 | 0.2415 | - |
| 0.0138 | 60 | 0.2461 | - |
| 0.0184 | 80 | 0.2425 | - |
| 0.0230 | 100 | 0.2317 | - |
| 0.0276 | 120 | 0.2398 | - |
| 0.0322 | 140 | 0.2295 | - |
| 0.0368 | 160 | 0.2279 | - |
| 0.0414 | 180 | 0.214 | - |
| 0.0459 | 200 | 0.1889 | - |
| 0.0505 | 220 | 0.1617 | - |
| 0.0551 | 240 | 0.0965 | - |
| 0.0597 | 260 | 0.0372 | - |
| 0.0643 | 280 | 0.0179 | - |
| 0.0689 | 300 | 0.0047 | - |
| 0.0735 | 320 | 0.0046 | - |
| 0.0781 | 340 | 0.0043 | - |
| 0.0827 | 360 | 0.0038 | - |
| 0.0873 | 380 | 0.0018 | - |
| 0.0919 | 400 | 0.0006 | - |
| 0.0965 | 420 | 0.0013 | - |
| 0.1011 | 440 | 0.0004 | - |
| 0.1057 | 460 | 0.0004 | - |
| 0.1103 | 480 | 0.0003 | - |
| 0.1149 | 500 | 0.0003 | - |
| 0.1195 | 520 | 0.0002 | - |
| 0.1241 | 540 | 0.0002 | - |
| 0.1286 | 560 | 0.0002 | - |
| 0.1332 | 580 | 0.0002 | - |
| 0.1378 | 600 | 0.0002 | - |
| 0.1424 | 620 | 0.0002 | - |
| 0.1470 | 640 | 0.0001 | - |
| 0.1516 | 660 | 0.0002 | - |
| 0.1562 | 680 | 0.0001 | - |
| 0.1608 | 700 | 0.0001 | - |
| 0.1654 | 720 | 0.0001 | - |
| 0.1700 | 740 | 0.0001 | - |
| 0.1746 | 760 | 0.0001 | - |
| 0.1792 | 780 | 0.0001 | - |
| 0.1838 | 800 | 0.0001 | - |
| 0.1884 | 820 | 0.0001 | - |
| 0.1930 | 840 | 0.0001 | - |
| 0.1976 | 860 | 0.0001 | - |
| 0.2022 | 880 | 0.0001 | - |
| 0.2068 | 900 | 0.0001 | - |
| 0.2113 | 920 | 0.0001 | - |
| 0.2159 | 940 | 0.0 | - |
| 0.2205 | 960 | 0.0 | - |
| 0.2251 | 980 | 0.0 | - |
| 0.2297 | 1000 | 0.0 | - |
| 0.2343 | 1020 | 0.0 | - |
| 0.2389 | 1040 | 0.0 | - |
| 0.2435 | 1060 | 0.0 | - |
| 0.2481 | 1080 | 0.0 | - |
| 0.2527 | 1100 | 0.0 | - |
| 0.2573 | 1120 | 0.0 | - |
| 0.2619 | 1140 | 0.0 | - |
| 0.2665 | 1160 | 0.0 | - |
| 0.2711 | 1180 | 0.0 | - |
| 0.2757 | 1200 | 0.0 | - |
| 0.2803 | 1220 | 0.0 | - |
| 0.2849 | 1240 | 0.0 | - |
| 0.2895 | 1260 | 0.0 | - |
| 0.2941 | 1280 | 0.0 | - |
| 0.2986 | 1300 | 0.0 | - |
| 0.3032 | 1320 | 0.0 | - |
| 0.3078 | 1340 | 0.0 | - |
| 0.3124 | 1360 | 0.0 | - |
| 0.3170 | 1380 | 0.0 | - |
| 0.3216 | 1400 | 0.0 | - |
| 0.3262 | 1420 | 0.0 | - |
| 0.3308 | 1440 | 0.0 | - |
| 0.3354 | 1460 | 0.0 | - |
| 0.3400 | 1480 | 0.0 | - |
| 0.3446 | 1500 | 0.0 | - |
| 0.3492 | 1520 | 0.0 | - |
| 0.3538 | 1540 | 0.0 | - |
| 0.3584 | 1560 | 0.0 | - |
| 0.3630 | 1580 | 0.0 | - |
| 0.3676 | 1600 | 0.0 | - |
| 0.3722 | 1620 | 0.0 | - |
| 0.3768 | 1640 | 0.0 | - |
| 0.3813 | 1660 | 0.0 | - |
| 0.3859 | 1680 | 0.0 | - |
| 0.3905 | 1700 | 0.0 | - |
| 0.3951 | 1720 | 0.0 | - |
| 0.3997 | 1740 | 0.0 | - |
| 0.4043 | 1760 | 0.0 | - |
| 0.4089 | 1780 | 0.0 | - |
| 0.4135 | 1800 | 0.0 | - |
| 0.4181 | 1820 | 0.0 | - |
| 0.4227 | 1840 | 0.0 | - |
| 0.4273 | 1860 | 0.0 | - |
| 0.4319 | 1880 | 0.0 | - |
| 0.4365 | 1900 | 0.0 | - |
| 0.4411 | 1920 | 0.0 | - |
| 0.4457 | 1940 | 0.0 | - |
| 0.4503 | 1960 | 0.0 | - |
| 0.4549 | 1980 | 0.0 | - |
| 0.4595 | 2000 | 0.0 | - |
| 0.4640 | 2020 | 0.0 | - |
| 0.4686 | 2040 | 0.0 | - |
| 0.4732 | 2060 | 0.0 | - |
| 0.4778 | 2080 | 0.0 | - |
| 0.4824 | 2100 | 0.0 | - |
| 0.4870 | 2120 | 0.0 | - |
| 0.4916 | 2140 | 0.0 | - |
| 0.4962 | 2160 | 0.0 | - |
| 0.5008 | 2180 | 0.0 | - |
| 0.5054 | 2200 | 0.0 | - |
| 0.5100 | 2220 | 0.0 | - |
| 0.5146 | 2240 | 0.0 | - |
| 0.5192 | 2260 | 0.0 | - |
| 0.5238 | 2280 | 0.0 | - |
| 0.5284 | 2300 | 0.0 | - |
| 0.5330 | 2320 | 0.0 | - |
| 0.5376 | 2340 | 0.0 | - |
| 0.5422 | 2360 | 0.0 | - |
| 0.5467 | 2380 | 0.0 | - |
| 0.5513 | 2400 | 0.0 | - |
| 0.5559 | 2420 | 0.0 | - |
| 0.5605 | 2440 | 0.0 | - |
| 0.5651 | 2460 | 0.0 | - |
| 0.5697 | 2480 | 0.0 | - |
| 0.5743 | 2500 | 0.0 | - |
| 0.5789 | 2520 | 0.0 | - |
| 0.5835 | 2540 | 0.0 | - |
| 0.5881 | 2560 | 0.0 | - |
| 0.5927 | 2580 | 0.0 | - |
| 0.5973 | 2600 | 0.0 | - |
| 0.6019 | 2620 | 0.0 | - |
| 0.6065 | 2640 | 0.0 | - |
| 0.6111 | 2660 | 0.0 | - |
| 0.6157 | 2680 | 0.0 | - |
| 0.6203 | 2700 | 0.0 | - |
| 0.6249 | 2720 | 0.0 | - |
| 0.6295 | 2740 | 0.0 | - |
| 0.6340 | 2760 | 0.0 | - |
| 0.6386 | 2780 | 0.0 | - |
| 0.6432 | 2800 | 0.0 | - |
| 0.6478 | 2820 | 0.0 | - |
| 0.6524 | 2840 | 0.0 | - |
| 0.6570 | 2860 | 0.0 | - |
| 0.6616 | 2880 | 0.0 | - |
| 0.6662 | 2900 | 0.0 | - |
| 0.6708 | 2920 | 0.0 | - |
| 0.6754 | 2940 | 0.0 | - |
| 0.6800 | 2960 | 0.0 | - |
| 0.6846 | 2980 | 0.0 | - |
| 0.6892 | 3000 | 0.0 | - |
| 0.6938 | 3020 | 0.0 | - |
| 0.6984 | 3040 | 0.0 | - |
| 0.7030 | 3060 | 0.0 | - |
| 0.7076 | 3080 | 0.0 | - |
| 0.7122 | 3100 | 0.0 | - |
| 0.7167 | 3120 | 0.0 | - |
| 0.7213 | 3140 | 0.0 | - |
| 0.7259 | 3160 | 0.0 | - |
| 0.7305 | 3180 | 0.0 | - |
| 0.7351 | 3200 | 0.0 | - |
| 0.7397 | 3220 | 0.0 | - |
| 0.7443 | 3240 | 0.0 | - |
| 0.7489 | 3260 | 0.0 | - |
| 0.7535 | 3280 | 0.0 | - |
| 0.7581 | 3300 | 0.0 | - |
| 0.7627 | 3320 | 0.0 | - |
| 0.7673 | 3340 | 0.0 | - |
| 0.7719 | 3360 | 0.0 | - |
| 0.7765 | 3380 | 0.0 | - |
| 0.7811 | 3400 | 0.0 | - |
| 0.7857 | 3420 | 0.0 | - |
| 0.7903 | 3440 | 0.0 | - |
| 0.7949 | 3460 | 0.0 | - |
| 0.7994 | 3480 | 0.0 | - |
| 0.8040 | 3500 | 0.0 | - |
| 0.8086 | 3520 | 0.0 | - |
| 0.8132 | 3540 | 0.0 | - |
| 0.8178 | 3560 | 0.0 | - |
| 0.8224 | 3580 | 0.0 | - |
| 0.8270 | 3600 | 0.0 | - |
| 0.8316 | 3620 | 0.0 | - |
| 0.8362 | 3640 | 0.0 | - |
| 0.8408 | 3660 | 0.0 | - |
| 0.8454 | 3680 | 0.0 | - |
| 0.8500 | 3700 | 0.0 | - |
| 0.8546 | 3720 | 0.0 | - |
| 0.8592 | 3740 | 0.0 | - |
| 0.8638 | 3760 | 0.0 | - |
| 0.8684 | 3780 | 0.0 | - |
| 0.8730 | 3800 | 0.0 | - |
| 0.8776 | 3820 | 0.0 | - |
| 0.8822 | 3840 | 0.0 | - |
| 0.8867 | 3860 | 0.0 | - |
| 0.8913 | 3880 | 0.0 | - |
| 0.8959 | 3900 | 0.0 | - |
| 0.9005 | 3920 | 0.0 | - |
| 0.9051 | 3940 | 0.0 | - |
| 0.9097 | 3960 | 0.0 | - |
| 0.9143 | 3980 | 0.0 | - |
| 0.9189 | 4000 | 0.0 | - |
| 0.9235 | 4020 | 0.0 | - |
| 0.9281 | 4040 | 0.0 | - |
| 0.9327 | 4060 | 0.0 | - |
| 0.9373 | 4080 | 0.0 | - |
| 0.9419 | 4100 | 0.0 | - |
| 0.9465 | 4120 | 0.0 | - |
| 0.9511 | 4140 | 0.0 | - |
| 0.9557 | 4160 | 0.0 | - |
| 0.9603 | 4180 | 0.0 | - |
| 0.9649 | 4200 | 0.0 | - |
| 0.9694 | 4220 | 0.0 | - |
| 0.9740 | 4240 | 0.0 | - |
| 0.9786 | 4260 | 0.0 | - |
| 0.9832 | 4280 | 0.0 | - |
| 0.9878 | 4300 | 0.0 | - |
| 0.9924 | 4320 | 0.0 | - |
| 0.9970 | 4340 | 0.0 | - |
| 1.0 | 4353 | - | 0.0050 |
| 1.0016 | 4360 | 0.0 | - |
| 1.0062 | 4380 | 0.0 | - |
| 1.0108 | 4400 | 0.0 | - |
| 1.0154 | 4420 | 0.0 | - |
| 1.0200 | 4440 | 0.0 | - |
| 1.0246 | 4460 | 0.0 | - |
| 1.0292 | 4480 | 0.0 | - |
| 1.0338 | 4500 | 0.0 | - |
| 1.0384 | 4520 | 0.0 | - |
| 1.0430 | 4540 | 0.0 | - |
| 1.0476 | 4560 | 0.0 | - |
| 1.0521 | 4580 | 0.0 | - |
| 1.0567 | 4600 | 0.0 | - |
| 1.0613 | 4620 | 0.0 | - |
| 1.0659 | 4640 | 0.0 | - |
| 1.0705 | 4660 | 0.0 | - |
| 1.0751 | 4680 | 0.0 | - |
| 1.0797 | 4700 | 0.0 | - |
| 1.0843 | 4720 | 0.0 | - |
| 1.0889 | 4740 | 0.0 | - |
| 1.0935 | 4760 | 0.0 | - |
| 1.0981 | 4780 | 0.0 | - |
| 1.1027 | 4800 | 0.0 | - |
| 1.1073 | 4820 | 0.0 | - |
| 1.1119 | 4840 | 0.0 | - |
| 1.1165 | 4860 | 0.0 | - |
| 1.1211 | 4880 | 0.0 | - |
| 1.1257 | 4900 | 0.0 | - |
| 1.1303 | 4920 | 0.0 | - |
| 1.1348 | 4940 | 0.0 | - |
| 1.1394 | 4960 | 0.0 | - |
| 1.1440 | 4980 | 0.0 | - |
| 1.1486 | 5000 | 0.0 | - |
| 1.1532 | 5020 | 0.0 | - |
| 1.1578 | 5040 | 0.0 | - |
| 1.1624 | 5060 | 0.0 | - |
| 1.1670 | 5080 | 0.0 | - |
| 1.1716 | 5100 | 0.0 | - |
| 1.1762 | 5120 | 0.0 | - |
| 1.1808 | 5140 | 0.0 | - |
| 1.1854 | 5160 | 0.0 | - |
| 1.1900 | 5180 | 0.0 | - |
| 1.1946 | 5200 | 0.0 | - |
| 1.1992 | 5220 | 0.0 | - |
| 1.2038 | 5240 | 0.0 | - |
| 1.2084 | 5260 | 0.0 | - |
| 1.2130 | 5280 | 0.0 | - |
| 1.2176 | 5300 | 0.0 | - |
| 1.2221 | 5320 | 0.0 | - |
| 1.2267 | 5340 | 0.0 | - |
| 1.2313 | 5360 | 0.0 | - |
| 1.2359 | 5380 | 0.0 | - |
| 1.2405 | 5400 | 0.0 | - |
| 1.2451 | 5420 | 0.0 | - |
| 1.2497 | 5440 | 0.0 | - |
| 1.2543 | 5460 | 0.0 | - |
| 1.2589 | 5480 | 0.0 | - |
| 1.2635 | 5500 | 0.0 | - |
| 1.2681 | 5520 | 0.0 | - |
| 1.2727 | 5540 | 0.0 | - |
| 1.2773 | 5560 | 0.0 | - |
| 1.2819 | 5580 | 0.0 | - |
| 1.2865 | 5600 | 0.0 | - |
| 1.2911 | 5620 | 0.0 | - |
| 1.2957 | 5640 | 0.0 | - |
| 1.3003 | 5660 | 0.0 | - |
| 1.3048 | 5680 | 0.0 | - |
| 1.3094 | 5700 | 0.0 | - |
| 1.3140 | 5720 | 0.0 | - |
| 1.3186 | 5740 | 0.0 | - |
| 1.3232 | 5760 | 0.0 | - |
| 1.3278 | 5780 | 0.0 | - |
| 1.3324 | 5800 | 0.0 | - |
| 1.3370 | 5820 | 0.0 | - |
| 1.3416 | 5840 | 0.0 | - |
| 1.3462 | 5860 | 0.0 | - |
| 1.3508 | 5880 | 0.0 | - |
| 1.3554 | 5900 | 0.0 | - |
| 1.3600 | 5920 | 0.0 | - |
| 1.3646 | 5940 | 0.0 | - |
| 1.3692 | 5960 | 0.0 | - |
| 1.3738 | 5980 | 0.0 | - |
| 1.3784 | 6000 | 0.0 | - |
| 1.3830 | 6020 | 0.0 | - |
| 1.3875 | 6040 | 0.0 | - |
| 1.3921 | 6060 | 0.0 | - |
| 1.3967 | 6080 | 0.0 | - |
| 1.4013 | 6100 | 0.0 | - |
| 1.4059 | 6120 | 0.0 | - |
| 1.4105 | 6140 | 0.0 | - |
| 1.4151 | 6160 | 0.0 | - |
| 1.4197 | 6180 | 0.0 | - |
| 1.4243 | 6200 | 0.0 | - |
| 1.4289 | 6220 | 0.0 | - |
| 1.4335 | 6240 | 0.0 | - |
| 1.4381 | 6260 | 0.0 | - |
| 1.4427 | 6280 | 0.0 | - |
| 1.4473 | 6300 | 0.0 | - |
| 1.4519 | 6320 | 0.0 | - |
| 1.4565 | 6340 | 0.0 | - |
| 1.4611 | 6360 | 0.0 | - |
| 1.4657 | 6380 | 0.0 | - |
| 1.4703 | 6400 | 0.0 | - |
| 1.4748 | 6420 | 0.0 | - |
| 1.4794 | 6440 | 0.0 | - |
| 1.4840 | 6460 | 0.0 | - |
| 1.4886 | 6480 | 0.0 | - |
| 1.4932 | 6500 | 0.0 | - |
| 1.4978 | 6520 | 0.0 | - |
| 1.5024 | 6540 | 0.0 | - |
| 1.5070 | 6560 | 0.0 | - |
| 1.5116 | 6580 | 0.0 | - |
| 1.5162 | 6600 | 0.0 | - |
| 1.5208 | 6620 | 0.0 | - |
| 1.5254 | 6640 | 0.0 | - |
| 1.5300 | 6660 | 0.0 | - |
| 1.5346 | 6680 | 0.0 | - |
| 1.5392 | 6700 | 0.0 | - |
| 1.5438 | 6720 | 0.0 | - |
| 1.5484 | 6740 | 0.0 | - |
| 1.5530 | 6760 | 0.0 | - |
| 1.5575 | 6780 | 0.0 | - |
| 1.5621 | 6800 | 0.0 | - |
| 1.5667 | 6820 | 0.0 | - |
| 1.5713 | 6840 | 0.0 | - |
| 1.5759 | 6860 | 0.0 | - |
| 1.5805 | 6880 | 0.0 | - |
| 1.5851 | 6900 | 0.0 | - |
| 1.5897 | 6920 | 0.0 | - |
| 1.5943 | 6940 | 0.0 | - |
| 1.5989 | 6960 | 0.0 | - |
| 1.6035 | 6980 | 0.0 | - |
| 1.6081 | 7000 | 0.0 | - |
| 1.6127 | 7020 | 0.0 | - |
| 1.6173 | 7040 | 0.0 | - |
| 1.6219 | 7060 | 0.0 | - |
| 1.6265 | 7080 | 0.0 | - |
| 1.6311 | 7100 | 0.0 | - |
| 1.6357 | 7120 | 0.0 | - |
| 1.6402 | 7140 | 0.0 | - |
| 1.6448 | 7160 | 0.0 | - |
| 1.6494 | 7180 | 0.0 | - |
| 1.6540 | 7200 | 0.0 | - |
| 1.6586 | 7220 | 0.0 | - |
| 1.6632 | 7240 | 0.0 | - |
| 1.6678 | 7260 | 0.0 | - |
| 1.6724 | 7280 | 0.0 | - |
| 1.6770 | 7300 | 0.0 | - |
| 1.6816 | 7320 | 0.0 | - |
| 1.6862 | 7340 | 0.0 | - |
| 1.6908 | 7360 | 0.0 | - |
| 1.6954 | 7380 | 0.0 | - |
| 1.7000 | 7400 | 0.0 | - |
| 1.7046 | 7420 | 0.0 | - |
| 1.7092 | 7440 | 0.0 | - |
| 1.7138 | 7460 | 0.0 | - |
| 1.7184 | 7480 | 0.0 | - |
| 1.7229 | 7500 | 0.0 | - |
| 1.7275 | 7520 | 0.0 | - |
| 1.7321 | 7540 | 0.0 | - |
| 1.7367 | 7560 | 0.0 | - |
| 1.7413 | 7580 | 0.0 | - |
| 1.7459 | 7600 | 0.0 | - |
| 1.7505 | 7620 | 0.0 | - |
| 1.7551 | 7640 | 0.0 | - |
| 1.7597 | 7660 | 0.0 | - |
| 1.7643 | 7680 | 0.0 | - |
| 1.7689 | 7700 | 0.0 | - |
| 1.7735 | 7720 | 0.0001 | - |
| 1.7781 | 7740 | 0.0001 | - |
| 1.7827 | 7760 | 0.0 | - |
| 1.7873 | 7780 | 0.0 | - |
| 1.7919 | 7800 | 0.0 | - |
| 1.7965 | 7820 | 0.0 | - |
| 1.8011 | 7840 | 0.0 | - |
| 1.8057 | 7860 | 0.0 | - |
| 1.8102 | 7880 | 0.0 | - |
| 1.8148 | 7900 | 0.0 | - |
| 1.8194 | 7920 | 0.0 | - |
| 1.8240 | 7940 | 0.0 | - |
| 1.8286 | 7960 | 0.0 | - |
| 1.8332 | 7980 | 0.0 | - |
| 1.8378 | 8000 | 0.0 | - |
| 1.8424 | 8020 | 0.0 | - |
| 1.8470 | 8040 | 0.0 | - |
| 1.8516 | 8060 | 0.0 | - |
| 1.8562 | 8080 | 0.0 | - |
| 1.8608 | 8100 | 0.0 | - |
| 1.8654 | 8120 | 0.0 | - |
| 1.8700 | 8140 | 0.0 | - |
| 1.8746 | 8160 | 0.0 | - |
| 1.8792 | 8180 | 0.0 | - |
| 1.8838 | 8200 | 0.0 | - |
| 1.8884 | 8220 | 0.0 | - |
| 1.8929 | 8240 | 0.0 | - |
| 1.8975 | 8260 | 0.0 | - |
| 1.9021 | 8280 | 0.0 | - |
| 1.9067 | 8300 | 0.0 | - |
| 1.9113 | 8320 | 0.0 | - |
| 1.9159 | 8340 | 0.0 | - |
| 1.9205 | 8360 | 0.0 | - |
| 1.9251 | 8380 | 0.0 | - |
| 1.9297 | 8400 | 0.0 | - |
| 1.9343 | 8420 | 0.0 | - |
| 1.9389 | 8440 | 0.0 | - |
| 1.9435 | 8460 | 0.0 | - |
| 1.9481 | 8480 | 0.0 | - |
| 1.9527 | 8500 | 0.0 | - |
| 1.9573 | 8520 | 0.0 | - |
| 1.9619 | 8540 | 0.0 | - |
| 1.9665 | 8560 | 0.0 | - |
| 1.9711 | 8580 | 0.0 | - |
| 1.9756 | 8600 | 0.0 | - |
| 1.9802 | 8620 | 0.0 | - |
| 1.9848 | 8640 | 0.0 | - |
| 1.9894 | 8660 | 0.0 | - |
| 1.9940 | 8680 | 0.0 | - |
| 1.9986 | 8700 | 0.0 | - |
| 2.0 | 8706 | - | 0.0051 |
| 2.0032 | 8720 | 0.0 | - |
| 2.0078 | 8740 | 0.0 | - |
| 2.0124 | 8760 | 0.0 | - |
| 2.0170 | 8780 | 0.0 | - |
| 2.0216 | 8800 | 0.0 | - |
| 2.0262 | 8820 | 0.0 | - |
| 2.0308 | 8840 | 0.0 | - |
| 2.0354 | 8860 | 0.0 | - |
| 2.0400 | 8880 | 0.0 | - |
| 2.0446 | 8900 | 0.0 | - |
| 2.0492 | 8920 | 0.0 | - |
| 2.0538 | 8940 | 0.0 | - |
| 2.0584 | 8960 | 0.0 | - |
| 2.0629 | 8980 | 0.0 | - |
| 2.0675 | 9000 | 0.0 | - |
| 2.0721 | 9020 | 0.0 | - |
| 2.0767 | 9040 | 0.0 | - |
| 2.0813 | 9060 | 0.0 | - |
| 2.0859 | 9080 | 0.0 | - |
| 2.0905 | 9100 | 0.0 | - |
| 2.0951 | 9120 | 0.0 | - |
| 2.0997 | 9140 | 0.0 | - |
| 2.1043 | 9160 | 0.0 | - |
| 2.1089 | 9180 | 0.0 | - |
| 2.1135 | 9200 | 0.0 | - |
| 2.1181 | 9220 | 0.0 | - |
| 2.1227 | 9240 | 0.0 | - |
| 2.1273 | 9260 | 0.0 | - |
| 2.1319 | 9280 | 0.0 | - |
| 2.1365 | 9300 | 0.0 | - |
| 2.1411 | 9320 | 0.0 | - |
| 2.1456 | 9340 | 0.0 | - |
| 2.1502 | 9360 | 0.0 | - |
| 2.1548 | 9380 | 0.0 | - |
| 2.1594 | 9400 | 0.0 | - |
| 2.1640 | 9420 | 0.0 | - |
| 2.1686 | 9440 | 0.0 | - |
| 2.1732 | 9460 | 0.0 | - |
| 2.1778 | 9480 | 0.0 | - |
| 2.1824 | 9500 | 0.0 | - |
| 2.1870 | 9520 | 0.0 | - |
| 2.1916 | 9540 | 0.0 | - |
| 2.1962 | 9560 | 0.0 | - |
| 2.2008 | 9580 | 0.0 | - |
| 2.2054 | 9600 | 0.0 | - |
| 2.2100 | 9620 | 0.0 | - |
| 2.2146 | 9640 | 0.0 | - |
| 2.2192 | 9660 | 0.0 | - |
| 2.2238 | 9680 | 0.0 | - |
| 2.2283 | 9700 | 0.0 | - |
| 2.2329 | 9720 | 0.0 | - |
| 2.2375 | 9740 | 0.0 | - |
| 2.2421 | 9760 | 0.0 | - |
| 2.2467 | 9780 | 0.0 | - |
| 2.2513 | 9800 | 0.0 | - |
| 2.2559 | 9820 | 0.0 | - |
| 2.2605 | 9840 | 0.0 | - |
| 2.2651 | 9860 | 0.0 | - |
| 2.2697 | 9880 | 0.0 | - |
| 2.2743 | 9900 | 0.0 | - |
| 2.2789 | 9920 | 0.0 | - |
| 2.2835 | 9940 | 0.0 | - |
| 2.2881 | 9960 | 0.0 | - |
| 2.2927 | 9980 | 0.0 | - |
| 2.2973 | 10000 | 0.0 | - |
| 2.3019 | 10020 | 0.0 | - |
| 2.3065 | 10040 | 0.0 | - |
| 2.3110 | 10060 | 0.0 | - |
| 2.3156 | 10080 | 0.0 | - |
| 2.3202 | 10100 | 0.0 | - |
| 2.3248 | 10120 | 0.0 | - |
| 2.3294 | 10140 | 0.0 | - |
| 2.3340 | 10160 | 0.0 | - |
| 2.3386 | 10180 | 0.0 | - |
| 2.3432 | 10200 | 0.0 | - |
| 2.3478 | 10220 | 0.0 | - |
| 2.3524 | 10240 | 0.0 | - |
| 2.3570 | 10260 | 0.0 | - |
| 2.3616 | 10280 | 0.0 | - |
| 2.3662 | 10300 | 0.0 | - |
| 2.3708 | 10320 | 0.0 | - |
| 2.3754 | 10340 | 0.0 | - |
| 2.3800 | 10360 | 0.0 | - |
| 2.3846 | 10380 | 0.0 | - |
| 2.3892 | 10400 | 0.0 | - |
| 2.3938 | 10420 | 0.0 | - |
| 2.3983 | 10440 | 0.0 | - |
| 2.4029 | 10460 | 0.0 | - |
| 2.4075 | 10480 | 0.0 | - |
| 2.4121 | 10500 | 0.0 | - |
| 2.4167 | 10520 | 0.0 | - |
| 2.4213 | 10540 | 0.0 | - |
| 2.4259 | 10560 | 0.0 | - |
| 2.4305 | 10580 | 0.0 | - |
| 2.4351 | 10600 | 0.0 | - |
| 2.4397 | 10620 | 0.0 | - |
| 2.4443 | 10640 | 0.0 | - |
| 2.4489 | 10660 | 0.0 | - |
| 2.4535 | 10680 | 0.0 | - |
| 2.4581 | 10700 | 0.0 | - |
| 2.4627 | 10720 | 0.0 | - |
| 2.4673 | 10740 | 0.0 | - |
| 2.4719 | 10760 | 0.0 | - |
| 2.4765 | 10780 | 0.0 | - |
| 2.4810 | 10800 | 0.0 | - |
| 2.4856 | 10820 | 0.0 | - |
| 2.4902 | 10840 | 0.0 | - |
| 2.4948 | 10860 | 0.0 | - |
| 2.4994 | 10880 | 0.0 | - |
| 2.5040 | 10900 | 0.0 | - |
| 2.5086 | 10920 | 0.0 | - |
| 2.5132 | 10940 | 0.0 | - |
| 2.5178 | 10960 | 0.0 | - |
| 2.5224 | 10980 | 0.0 | - |
| 2.5270 | 11000 | 0.0 | - |
| 2.5316 | 11020 | 0.0 | - |
| 2.5362 | 11040 | 0.0 | - |
| 2.5408 | 11060 | 0.0 | - |
| 2.5454 | 11080 | 0.0 | - |
| 2.5500 | 11100 | 0.0 | - |
| 2.5546 | 11120 | 0.0 | - |
| 2.5592 | 11140 | 0.0 | - |
| 2.5637 | 11160 | 0.0 | - |
| 2.5683 | 11180 | 0.0 | - |
| 2.5729 | 11200 | 0.0 | - |
| 2.5775 | 11220 | 0.0 | - |
| 2.5821 | 11240 | 0.0 | - |
| 2.5867 | 11260 | 0.0 | - |
| 2.5913 | 11280 | 0.0 | - |
| 2.5959 | 11300 | 0.0 | - |
| 2.6005 | 11320 | 0.0 | - |
| 2.6051 | 11340 | 0.0 | - |
| 2.6097 | 11360 | 0.0 | - |
| 2.6143 | 11380 | 0.0 | - |
| 2.6189 | 11400 | 0.0 | - |
| 2.6235 | 11420 | 0.0 | - |
| 2.6281 | 11440 | 0.0 | - |
| 2.6327 | 11460 | 0.0 | - |
| 2.6373 | 11480 | 0.0 | - |
| 2.6419 | 11500 | 0.0 | - |
| 2.6465 | 11520 | 0.0 | - |
| 2.6510 | 11540 | 0.0 | - |
| 2.6556 | 11560 | 0.0 | - |
| 2.6602 | 11580 | 0.0 | - |
| 2.6648 | 11600 | 0.0 | - |
| 2.6694 | 11620 | 0.0 | - |
| 2.6740 | 11640 | 0.0 | - |
| 2.6786 | 11660 | 0.0 | - |
| 2.6832 | 11680 | 0.0 | - |
| 2.6878 | 11700 | 0.0 | - |
| 2.6924 | 11720 | 0.0775 | - |
| 2.6970 | 11740 | 0.088 | - |
| 2.7016 | 11760 | 0.0338 | - |
| 2.7062 | 11780 | 0.0416 | - |
| 2.7108 | 11800 | 0.03 | - |
| 2.7154 | 11820 | 0.0141 | - |
| 2.7200 | 11840 | 0.0278 | - |
| 2.7246 | 11860 | 0.0073 | - |
| 2.7292 | 11880 | 0.0161 | - |
| 2.7337 | 11900 | 0.0037 | - |
| 2.7383 | 11920 | 0.0101 | - |
| 2.7429 | 11940 | 0.0059 | - |
| 2.7475 | 11960 | 0.0032 | - |
| 2.7521 | 11980 | 0.0001 | - |
| 2.7567 | 12000 | 0.0135 | - |
| 2.7613 | 12020 | 0.0044 | - |
| 2.7659 | 12040 | 0.0003 | - |
| 2.7705 | 12060 | 0.0048 | - |
| 2.7751 | 12080 | 0.0002 | - |
| 2.7797 | 12100 | 0.0 | - |
| 2.7843 | 12120 | 0.0012 | - |
| 2.7889 | 12140 | 0.0028 | - |
| 2.7935 | 12160 | 0.0 | - |
| 2.7981 | 12180 | 0.0 | - |
| 2.8027 | 12200 | 0.0 | - |
| 2.8073 | 12220 | 0.0 | - |
| 2.8119 | 12240 | 0.0 | - |
| 2.8164 | 12260 | 0.0 | - |
| 2.8210 | 12280 | 0.0 | - |
| 2.8256 | 12300 | 0.0 | - |
| 2.8302 | 12320 | 0.0 | - |
| 2.8348 | 12340 | 0.0 | - |
| 2.8394 | 12360 | 0.0 | - |
| 2.8440 | 12380 | 0.0 | - |
| 2.8486 | 12400 | 0.0 | - |
| 2.8532 | 12420 | 0.0 | - |
| 2.8578 | 12440 | 0.0 | - |
| 2.8624 | 12460 | 0.0 | - |
| 2.8670 | 12480 | 0.0 | - |
| 2.8716 | 12500 | 0.0 | - |
| 2.8762 | 12520 | 0.0 | - |
| 2.8808 | 12540 | 0.0 | - |
| 2.8854 | 12560 | 0.0 | - |
| 2.8900 | 12580 | 0.0031 | - |
| 2.8946 | 12600 | 0.0 | - |
| 2.8992 | 12620 | 0.0 | - |
| 2.9037 | 12640 | 0.0 | - |
| 2.9083 | 12660 | 0.0 | - |
| 2.9129 | 12680 | 0.0 | - |
| 2.9175 | 12700 | 0.0 | - |
| 2.9221 | 12720 | 0.0031 | - |
| 2.9267 | 12740 | 0.0 | - |
| 2.9313 | 12760 | 0.0 | - |
| 2.9359 | 12780 | 0.0 | - |
| 2.9405 | 12800 | 0.0 | - |
| 2.9451 | 12820 | 0.0032 | - |
| 2.9497 | 12840 | 0.0001 | - |
| 2.9543 | 12860 | 0.0 | - |
| 2.9589 | 12880 | 0.0 | - |
| 2.9635 | 12900 | 0.0001 | - |
| 2.9681 | 12920 | 0.0002 | - |
| 2.9727 | 12940 | 0.0 | - |
| 2.9773 | 12960 | 0.0 | - |
| 2.9819 | 12980 | 0.0 | - |
| 2.9864 | 13000 | 0.0 | - |
| 2.9910 | 13020 | 0.0 | - |
| 2.9956 | 13040 | 0.0 | - |
| 3.0 | 13059 | - | 0.0256 |
| 3.0002 | 13060 | 0.0 | - |
| 3.0048 | 13080 | 0.0 | - |
| 3.0094 | 13100 | 0.0 | - |
| 3.0140 | 13120 | 0.0 | - |
| 3.0186 | 13140 | 0.0 | - |
| 3.0232 | 13160 | 0.0 | - |
| 3.0278 | 13180 | 0.0 | - |
| 3.0324 | 13200 | 0.0 | - |
| 3.0370 | 13220 | 0.0 | - |
| 3.0416 | 13240 | 0.0 | - |
| 3.0462 | 13260 | 0.0 | - |
| 3.0508 | 13280 | 0.0 | - |
| 3.0554 | 13300 | 0.0 | - |
| 3.0600 | 13320 | 0.0 | - |
| 3.0646 | 13340 | 0.0 | - |
| 3.0691 | 13360 | 0.0 | - |
| 3.0737 | 13380 | 0.0 | - |
| 3.0783 | 13400 | 0.0 | - |
| 3.0829 | 13420 | 0.0 | - |
| 3.0875 | 13440 | 0.0 | - |
| 3.0921 | 13460 | 0.0 | - |
| 3.0967 | 13480 | 0.0 | - |
| 3.1013 | 13500 | 0.0 | - |
| 3.1059 | 13520 | 0.0 | - |
| 3.1105 | 13540 | 0.0 | - |
| 3.1151 | 13560 | 0.0 | - |
| 3.1197 | 13580 | 0.0 | - |
| 3.1243 | 13600 | 0.0 | - |
| 3.1289 | 13620 | 0.0 | - |
| 3.1335 | 13640 | 0.0 | - |
| 3.1381 | 13660 | 0.0 | - |
| 3.1427 | 13680 | 0.0 | - |
| 3.1473 | 13700 | 0.0 | - |
| 3.1518 | 13720 | 0.0 | - |
| 3.1564 | 13740 | 0.0 | - |
| 3.1610 | 13760 | 0.0 | - |
| 3.1656 | 13780 | 0.0 | - |
| 3.1702 | 13800 | 0.0 | - |
| 3.1748 | 13820 | 0.0 | - |
| 3.1794 | 13840 | 0.0 | - |
| 3.1840 | 13860 | 0.0 | - |
| 3.1886 | 13880 | 0.0 | - |
| 3.1932 | 13900 | 0.0 | - |
| 3.1978 | 13920 | 0.0 | - |
| 3.2024 | 13940 | 0.0 | - |
| 3.2070 | 13960 | 0.0 | - |
| 3.2116 | 13980 | 0.0 | - |
| 3.2162 | 14000 | 0.0 | - |
| 3.2208 | 14020 | 0.0 | - |
| 3.2254 | 14040 | 0.0 | - |
| 3.2300 | 14060 | 0.0 | - |
| 3.2346 | 14080 | 0.0 | - |
| 3.2391 | 14100 | 0.0 | - |
| 3.2437 | 14120 | 0.0 | - |
| 3.2483 | 14140 | 0.0 | - |
| 3.2529 | 14160 | 0.0 | - |
| 3.2575 | 14180 | 0.0 | - |
| 3.2621 | 14200 | 0.0 | - |
| 3.2667 | 14220 | 0.0 | - |
| 3.2713 | 14240 | 0.0 | - |
| 3.2759 | 14260 | 0.0 | - |
| 3.2805 | 14280 | 0.0 | - |
| 3.2851 | 14300 | 0.0 | - |
| 3.2897 | 14320 | 0.0 | - |
| 3.2943 | 14340 | 0.0 | - |
| 3.2989 | 14360 | 0.0 | - |
| 3.3035 | 14380 | 0.0 | - |
| 3.3081 | 14400 | 0.0 | - |
| 3.3127 | 14420 | 0.0 | - |
| 3.3173 | 14440 | 0.0 | - |
| 3.3218 | 14460 | 0.0 | - |
| 3.3264 | 14480 | 0.0 | - |
| 3.3310 | 14500 | 0.0 | - |
| 3.3356 | 14520 | 0.0 | - |
| 3.3402 | 14540 | 0.0 | - |
| 3.3448 | 14560 | 0.0 | - |
| 3.3494 | 14580 | 0.0 | - |
| 3.3540 | 14600 | 0.0 | - |
| 3.3586 | 14620 | 0.0 | - |
| 3.3632 | 14640 | 0.0 | - |
| 3.3678 | 14660 | 0.0 | - |
| 3.3724 | 14680 | 0.0 | - |
| 3.3770 | 14700 | 0.0 | - |
| 3.3816 | 14720 | 0.0 | - |
| 3.3862 | 14740 | 0.0 | - |
| 3.3908 | 14760 | 0.0 | - |
| 3.3954 | 14780 | 0.0 | - |
| 3.4000 | 14800 | 0.0 | - |
| 3.4045 | 14820 | 0.0 | - |
| 3.4091 | 14840 | 0.0 | - |
| 3.4137 | 14860 | 0.0 | - |
| 3.4183 | 14880 | 0.0 | - |
| 3.4229 | 14900 | 0.0 | - |
| 3.4275 | 14920 | 0.0 | - |
| 3.4321 | 14940 | 0.0 | - |
| 3.4367 | 14960 | 0.0 | - |
| 3.4413 | 14980 | 0.0 | - |
| 3.4459 | 15000 | 0.0 | - |
| 3.4505 | 15020 | 0.0 | - |
| 3.4551 | 15040 | 0.0 | - |
| 3.4597 | 15060 | 0.0 | - |
| 3.4643 | 15080 | 0.0 | - |
| 3.4689 | 15100 | 0.0 | - |
| 3.4735 | 15120 | 0.0 | - |
| 3.4781 | 15140 | 0.0 | - |
| 3.4827 | 15160 | 0.0 | - |
| 3.4873 | 15180 | 0.0 | - |
| 3.4918 | 15200 | 0.0 | - |
| 3.4964 | 15220 | 0.0 | - |
| 3.5010 | 15240 | 0.0 | - |
| 3.5056 | 15260 | 0.0 | - |
| 3.5102 | 15280 | 0.0 | - |
| 3.5148 | 15300 | 0.0 | - |
| 3.5194 | 15320 | 0.0 | - |
| 3.5240 | 15340 | 0.0 | - |
| 3.5286 | 15360 | 0.0 | - |
| 3.5332 | 15380 | 0.0 | - |
| 3.5378 | 15400 | 0.0 | - |
| 3.5424 | 15420 | 0.0 | - |
| 3.5470 | 15440 | 0.0 | - |
| 3.5516 | 15460 | 0.0 | - |
| 3.5562 | 15480 | 0.0 | - |
| 3.5608 | 15500 | 0.0 | - |
| 3.5654 | 15520 | 0.0 | - |
| 3.5700 | 15540 | 0.0 | - |
| 3.5745 | 15560 | 0.0 | - |
| 3.5791 | 15580 | 0.0 | - |
| 3.5837 | 15600 | 0.0 | - |
| 3.5883 | 15620 | 0.0 | - |
| 3.5929 | 15640 | 0.0 | - |
| 3.5975 | 15660 | 0.0 | - |
| 3.6021 | 15680 | 0.0 | - |
| 3.6067 | 15700 | 0.0 | - |
| 3.6113 | 15720 | 0.0 | - |
| 3.6159 | 15740 | 0.0 | - |
| 3.6205 | 15760 | 0.0 | - |
| 3.6251 | 15780 | 0.0 | - |
| 3.6297 | 15800 | 0.0 | - |
| 3.6343 | 15820 | 0.0 | - |
| 3.6389 | 15840 | 0.0 | - |
| 3.6435 | 15860 | 0.0 | - |
| 3.6481 | 15880 | 0.0 | - |
| 3.6527 | 15900 | 0.0 | - |
| 3.6572 | 15920 | 0.0 | - |
| 3.6618 | 15940 | 0.0 | - |
| 3.6664 | 15960 | 0.0 | - |
| 3.6710 | 15980 | 0.0 | - |
| 3.6756 | 16000 | 0.0 | - |
| 3.6802 | 16020 | 0.0 | - |
| 3.6848 | 16040 | 0.0 | - |
| 3.6894 | 16060 | 0.0 | - |
| 3.6940 | 16080 | 0.0 | - |
| 3.6986 | 16100 | 0.0 | - |
| 3.7032 | 16120 | 0.0 | - |
| 3.7078 | 16140 | 0.0 | - |
| 3.7124 | 16160 | 0.0 | - |
| 3.7170 | 16180 | 0.0 | - |
| 3.7216 | 16200 | 0.0 | - |
| 3.7262 | 16220 | 0.0 | - |
| 3.7308 | 16240 | 0.0 | - |
| 3.7354 | 16260 | 0.0 | - |
| 3.7399 | 16280 | 0.0 | - |
| 3.7445 | 16300 | 0.0 | - |
| 3.7491 | 16320 | 0.0 | - |
| 3.7537 | 16340 | 0.0 | - |
| 3.7583 | 16360 | 0.0 | - |
| 3.7629 | 16380 | 0.0 | - |
| 3.7675 | 16400 | 0.0 | - |
| 3.7721 | 16420 | 0.0 | - |
| 3.7767 | 16440 | 0.0 | - |
| 3.7813 | 16460 | 0.0 | - |
| 3.7859 | 16480 | 0.0 | - |
| 3.7905 | 16500 | 0.0 | - |
| 3.7951 | 16520 | 0.0 | - |
| 3.7997 | 16540 | 0.0 | - |
| 3.8043 | 16560 | 0.0 | - |
| 3.8089 | 16580 | 0.0 | - |
| 3.8135 | 16600 | 0.0 | - |
| 3.8181 | 16620 | 0.0 | - |
| 3.8227 | 16640 | 0.0 | - |
| 3.8272 | 16660 | 0.0 | - |
| 3.8318 | 16680 | 0.0 | - |
| 3.8364 | 16700 | 0.0 | - |
| 3.8410 | 16720 | 0.0 | - |
| 3.8456 | 16740 | 0.0 | - |
| 3.8502 | 16760 | 0.0 | - |
| 3.8548 | 16780 | 0.0 | - |
| 3.8594 | 16800 | 0.0 | - |
| 3.8640 | 16820 | 0.0 | - |
| 3.8686 | 16840 | 0.0 | - |
| 3.8732 | 16860 | 0.0 | - |
| 3.8778 | 16880 | 0.0 | - |
| 3.8824 | 16900 | 0.0 | - |
| 3.8870 | 16920 | 0.0 | - |
| 3.8916 | 16940 | 0.0 | - |
| 3.8962 | 16960 | 0.0 | - |
| 3.9008 | 16980 | 0.0 | - |
| 3.9054 | 17000 | 0.0 | - |
| 3.9099 | 17020 | 0.0 | - |
| 3.9145 | 17040 | 0.0 | - |
| 3.9191 | 17060 | 0.0 | - |
| 3.9237 | 17080 | 0.0 | - |
| 3.9283 | 17100 | 0.0 | - |
| 3.9329 | 17120 | 0.0 | - |
| 3.9375 | 17140 | 0.0 | - |
| 3.9421 | 17160 | 0.0 | - |
| 3.9467 | 17180 | 0.0 | - |
| 3.9513 | 17200 | 0.0 | - |
| 3.9559 | 17220 | 0.0 | - |
| 3.9605 | 17240 | 0.0 | - |
| 3.9651 | 17260 | 0.0 | - |
| 3.9697 | 17280 | 0.0 | - |
| 3.9743 | 17300 | 0.0 | - |
| 3.9789 | 17320 | 0.0 | - |
| 3.9835 | 17340 | 0.0 | - |
| 3.9881 | 17360 | 0.0 | - |
| 3.9926 | 17380 | 0.0 | - |
| 3.9972 | 17400 | 0.0 | - |
| 4.0 | 17412 | - | 0.0280 |
| 4.0018 | 17420 | 0.0 | - |
| 4.0064 | 17440 | 0.0 | - |
| 4.0110 | 17460 | 0.0 | - |
| 4.0156 | 17480 | 0.0 | - |
| 4.0202 | 17500 | 0.0 | - |
| 4.0248 | 17520 | 0.0 | - |
| 4.0294 | 17540 | 0.0 | - |
| 4.0340 | 17560 | 0.0 | - |
| 4.0386 | 17580 | 0.0 | - |
| 4.0432 | 17600 | 0.0 | - |
| 4.0478 | 17620 | 0.0 | - |
| 4.0524 | 17640 | 0.0 | - |
| 4.0570 | 17660 | 0.0 | - |
| 4.0616 | 17680 | 0.0 | - |
| 4.0662 | 17700 | 0.0 | - |
| 4.0708 | 17720 | 0.0 | - |
| 4.0754 | 17740 | 0.0 | - |
| 4.0799 | 17760 | 0.0 | - |
| 4.0845 | 17780 | 0.0 | - |
| 4.0891 | 17800 | 0.0 | - |
| 4.0937 | 17820 | 0.0 | - |
| 4.0983 | 17840 | 0.0 | - |
| 4.1029 | 17860 | 0.0 | - |
| 4.1075 | 17880 | 0.0 | - |
| 4.1121 | 17900 | 0.0 | - |
| 4.1167 | 17920 | 0.0 | - |
| 4.1213 | 17940 | 0.0 | - |
| 4.1259 | 17960 | 0.0 | - |
| 4.1305 | 17980 | 0.0 | - |
| 4.1351 | 18000 | 0.0 | - |
| 4.1397 | 18020 | 0.0 | - |
| 4.1443 | 18040 | 0.0 | - |
| 4.1489 | 18060 | 0.0 | - |
| 4.1535 | 18080 | 0.0 | - |
| 4.1581 | 18100 | 0.0 | - |
| 4.1626 | 18120 | 0.0 | - |
| 4.1672 | 18140 | 0.0 | - |
| 4.1718 | 18160 | 0.0 | - |
| 4.1764 | 18180 | 0.0 | - |
| 4.1810 | 18200 | 0.0 | - |
| 4.1856 | 18220 | 0.0 | - |
| 4.1902 | 18240 | 0.0 | - |
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| 4.2040 | 18300 | 0.0 | - |
| 4.2086 | 18320 | 0.0 | - |
| 4.2132 | 18340 | 0.0 | - |
| 4.2178 | 18360 | 0.0 | - |
| 4.2224 | 18380 | 0.0 | - |
| 4.2270 | 18400 | 0.0 | - |
| 4.2316 | 18420 | 0.0 | - |
| 4.2362 | 18440 | 0.0 | - |
| 4.2408 | 18460 | 0.0 | - |
| 4.2453 | 18480 | 0.0 | - |
| 4.2499 | 18500 | 0.0 | - |
| 4.2545 | 18520 | 0.0 | - |
| 4.2591 | 18540 | 0.0 | - |
| 4.2637 | 18560 | 0.0 | - |
| 4.2683 | 18580 | 0.0 | - |
| 4.2729 | 18600 | 0.0 | - |
| 4.2775 | 18620 | 0.0 | - |
| 4.2821 | 18640 | 0.0 | - |
| 4.2867 | 18660 | 0.0 | - |
| 4.2913 | 18680 | 0.0 | - |
| 4.2959 | 18700 | 0.0 | - |
| 4.3005 | 18720 | 0.0 | - |
| 4.3051 | 18740 | 0.0 | - |
| 4.3097 | 18760 | 0.0 | - |
| 4.3143 | 18780 | 0.0 | - |
| 4.3189 | 18800 | 0.0 | - |
| 4.3235 | 18820 | 0.0 | - |
| 4.3280 | 18840 | 0.0 | - |
| 4.3326 | 18860 | 0.0 | - |
| 4.3372 | 18880 | 0.0 | - |
| 4.3418 | 18900 | 0.0 | - |
| 4.3464 | 18920 | 0.0 | - |
| 4.3510 | 18940 | 0.0 | - |
| 4.3556 | 18960 | 0.0 | - |
| 4.3602 | 18980 | 0.0 | - |
| 4.3648 | 19000 | 0.0 | - |
| 4.3694 | 19020 | 0.0 | - |
| 4.3740 | 19040 | 0.0 | - |
| 4.3786 | 19060 | 0.0 | - |
| 4.3832 | 19080 | 0.0 | - |
| 4.3878 | 19100 | 0.0 | - |
| 4.3924 | 19120 | 0.0 | - |
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| 4.4062 | 19180 | 0.0 | - |
| 4.4108 | 19200 | 0.0 | - |
| 4.4153 | 19220 | 0.0 | - |
| 4.4199 | 19240 | 0.0 | - |
| 4.4245 | 19260 | 0.0 | - |
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| 4.4383 | 19320 | 0.0 | - |
| 4.4429 | 19340 | 0.0 | - |
| 4.4475 | 19360 | 0.0 | - |
| 4.4521 | 19380 | 0.0 | - |
| 4.4567 | 19400 | 0.0 | - |
| 4.4613 | 19420 | 0.0 | - |
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| 4.4751 | 19480 | 0.0 | - |
| 4.4797 | 19500 | 0.0 | - |
| 4.4843 | 19520 | 0.0 | - |
| 4.4889 | 19540 | 0.0 | - |
| 4.4935 | 19560 | 0.0 | - |
| 4.4980 | 19580 | 0.0 | - |
| 4.5026 | 19600 | 0.0 | - |
| 4.5072 | 19620 | 0.0 | - |
| 4.5118 | 19640 | 0.0 | - |
| 4.5164 | 19660 | 0.0 | - |
| 4.5210 | 19680 | 0.0 | - |
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| 4.5440 | 19780 | 0.0 | - |
| 4.5486 | 19800 | 0.0 | - |
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| 4.5624 | 19860 | 0.0 | - |
| 4.5670 | 19880 | 0.0 | - |
| 4.5716 | 19900 | 0.0 | - |
| 4.5762 | 19920 | 0.0 | - |
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| 4.5853 | 19960 | 0.0 | - |
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| 4.5945 | 20000 | 0.0 | - |
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| 4.6405 | 20200 | 0.0 | - |
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| 4.6497 | 20240 | 0.0 | - |
| 4.6543 | 20260 | 0.0 | - |
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| 4.6635 | 20300 | 0.0 | - |
| 4.6680 | 20320 | 0.0 | - |
| 4.6726 | 20340 | 0.0 | - |
| 4.6772 | 20360 | 0.0 | - |
| 4.6818 | 20380 | 0.0 | - |
| 4.6864 | 20400 | 0.0 | - |
| 4.6910 | 20420 | 0.0 | - |
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| 4.7002 | 20460 | 0.0 | - |
| 4.7048 | 20480 | 0.0 | - |
| 4.7094 | 20500 | 0.0 | - |
| 4.7140 | 20520 | 0.0 | - |
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| 4.7232 | 20560 | 0.0 | - |
| 4.7278 | 20580 | 0.0 | - |
| 4.7324 | 20600 | 0.0 | - |
| 4.7370 | 20620 | 0.0 | - |
| 4.7416 | 20640 | 0.0 | - |
| 4.7462 | 20660 | 0.0 | - |
| 4.7507 | 20680 | 0.0 | - |
| 4.7553 | 20700 | 0.0 | - |
| 4.7599 | 20720 | 0.0 | - |
| 4.7645 | 20740 | 0.0 | - |
| 4.7691 | 20760 | 0.0 | - |
| 4.7737 | 20780 | 0.0 | - |
| 4.7783 | 20800 | 0.0 | - |
| 4.7829 | 20820 | 0.0 | - |
| 4.7875 | 20840 | 0.0 | - |
| 4.7921 | 20860 | 0.0 | - |
| 4.7967 | 20880 | 0.0 | - |
| 4.8013 | 20900 | 0.0 | - |
| 4.8059 | 20920 | 0.0 | - |
| 4.8105 | 20940 | 0.0 | - |
| 4.8151 | 20960 | 0.0 | - |
| 4.8197 | 20980 | 0.0 | - |
| 4.8243 | 21000 | 0.0 | - |
| 4.8289 | 21020 | 0.0 | - |
| 4.8334 | 21040 | 0.0 | - |
| 4.8380 | 21060 | 0.0 | - |
| 4.8426 | 21080 | 0.0 | - |
| 4.8472 | 21100 | 0.0 | - |
| 4.8518 | 21120 | 0.0 | - |
| 4.8564 | 21140 | 0.0 | - |
| 4.8610 | 21160 | 0.0 | - |
| 4.8656 | 21180 | 0.0 | - |
| 4.8702 | 21200 | 0.0 | - |
| 4.8748 | 21220 | 0.0 | - |
| 4.8794 | 21240 | 0.0 | - |
| 4.8840 | 21260 | 0.0 | - |
| 4.8886 | 21280 | 0.0 | - |
| 4.8932 | 21300 | 0.0 | - |
| 4.8978 | 21320 | 0.0 | - |
| 4.9024 | 21340 | 0.0 | - |
| 4.9070 | 21360 | 0.0 | - |
| 4.9116 | 21380 | 0.0 | - |
| 4.9161 | 21400 | 0.0 | - |
| 4.9207 | 21420 | 0.0 | - |
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| 4.9299 | 21460 | 0.0 | - |
| 4.9345 | 21480 | 0.0 | - |
| 4.9391 | 21500 | 0.0 | - |
| 4.9437 | 21520 | 0.0 | - |
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| 4.9529 | 21560 | 0.0 | - |
| 4.9575 | 21580 | 0.0 | - |
| 4.9621 | 21600 | 0.0 | - |
| 4.9667 | 21620 | 0.0 | - |
| 4.9713 | 21640 | 0.0 | - |
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| 4.9805 | 21680 | 0.0 | - |
| 4.9851 | 21700 | 0.0 | - |
| 4.9897 | 21720 | 0.0 | - |
| 4.9943 | 21740 | 0.0 | - |
| 4.9989 | 21760 | 0.0 | - |
| 5.0 | 21765 | - | 0.0301 |
| 5.0034 | 21780 | 0.0 | - |
| 5.0080 | 21800 | 0.0 | - |
| 5.0126 | 21820 | 0.0 | - |
| 5.0172 | 21840 | 0.0 | - |
| 5.0218 | 21860 | 0.0 | - |
| 5.0264 | 21880 | 0.0 | - |
| 5.0310 | 21900 | 0.0 | - |
| 5.0356 | 21920 | 0.0 | - |
| 5.0402 | 21940 | 0.0 | - |
| 5.0448 | 21960 | 0.0 | - |
| 5.0494 | 21980 | 0.0 | - |
| 5.0540 | 22000 | 0.0 | - |
| 5.0586 | 22020 | 0.0 | - |
| 5.0632 | 22040 | 0.0 | - |
| 5.0678 | 22060 | 0.0 | - |
| 5.0724 | 22080 | 0.0 | - |
| 5.0770 | 22100 | 0.0 | - |
| 5.0816 | 22120 | 0.0 | - |
| 5.0861 | 22140 | 0.0 | - |
| 5.0907 | 22160 | 0.0 | - |
| 5.0953 | 22180 | 0.0 | - |
| 5.0999 | 22200 | 0.0 | - |
| 5.1045 | 22220 | 0.0 | - |
| 5.1091 | 22240 | 0.0 | - |
| 5.1137 | 22260 | 0.0 | - |
| 5.1183 | 22280 | 0.0 | - |
| 5.1229 | 22300 | 0.0 | - |
| 5.1275 | 22320 | 0.0 | - |
| 5.1321 | 22340 | 0.0 | - |
| 5.1367 | 22360 | 0.0 | - |
| 5.1413 | 22380 | 0.0 | - |
| 5.1459 | 22400 | 0.0 | - |
| 5.1505 | 22420 | 0.0 | - |
| 5.1551 | 22440 | 0.0 | - |
| 5.1597 | 22460 | 0.0 | - |
| 5.1643 | 22480 | 0.0 | - |
| 5.1688 | 22500 | 0.0 | - |
| 5.1734 | 22520 | 0.0 | - |
| 5.1780 | 22540 | 0.0 | - |
| 5.1826 | 22560 | 0.0 | - |
| 5.1872 | 22580 | 0.0 | - |
| 5.1918 | 22600 | 0.0 | - |
| 5.1964 | 22620 | 0.0 | - |
| 5.2010 | 22640 | 0.0 | - |
| 5.2056 | 22660 | 0.0 | - |
| 5.2102 | 22680 | 0.0 | - |
| 5.2148 | 22700 | 0.0 | - |
| 5.2194 | 22720 | 0.0 | - |
| 5.2240 | 22740 | 0.0 | - |
| 5.2286 | 22760 | 0.0 | - |
| 5.2332 | 22780 | 0.0 | - |
| 5.2378 | 22800 | 0.0 | - |
| 5.2424 | 22820 | 0.0 | - |
| 5.2470 | 22840 | 0.0 | - |
| 5.2516 | 22860 | 0.0 | - |
| 5.2561 | 22880 | 0.0 | - |
| 5.2607 | 22900 | 0.0 | - |
| 5.2653 | 22920 | 0.0 | - |
| 5.2699 | 22940 | 0.0 | - |
| 5.2745 | 22960 | 0.0 | - |
| 5.2791 | 22980 | 0.0 | - |
| 5.2837 | 23000 | 0.0 | - |
| 5.2883 | 23020 | 0.0 | - |
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| 5.2975 | 23060 | 0.0 | - |
| 5.3021 | 23080 | 0.0 | - |
| 5.3067 | 23100 | 0.0 | - |
| 5.3113 | 23120 | 0.0 | - |
| 5.3159 | 23140 | 0.0 | - |
| 5.3205 | 23160 | 0.0 | - |
| 5.3251 | 23180 | 0.0 | - |
| 5.3297 | 23200 | 0.0 | - |
| 5.3343 | 23220 | 0.0 | - |
| 5.3388 | 23240 | 0.0 | - |
| 5.3434 | 23260 | 0.0 | - |
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| 5.3526 | 23300 | 0.0 | - |
| 5.3572 | 23320 | 0.0 | - |
| 5.3618 | 23340 | 0.0 | - |
| 5.3664 | 23360 | 0.0 | - |
| 5.3710 | 23380 | 0.0 | - |
| 5.3756 | 23400 | 0.0 | - |
| 5.3802 | 23420 | 0.0 | - |
| 5.3848 | 23440 | 0.0 | - |
| 5.3894 | 23460 | 0.0 | - |
| 5.3940 | 23480 | 0.0 | - |
| 5.3986 | 23500 | 0.0 | - |
| 5.4032 | 23520 | 0.0 | - |
| 5.4078 | 23540 | 0.0 | - |
| 5.4124 | 23560 | 0.0 | - |
| 5.4170 | 23580 | 0.0 | - |
| 5.4215 | 23600 | 0.0 | - |
| 5.4261 | 23620 | 0.0 | - |
| 5.4307 | 23640 | 0.0 | - |
| 5.4353 | 23660 | 0.0 | - |
| 5.4399 | 23680 | 0.0 | - |
| 5.4445 | 23700 | 0.0 | - |
| 5.4491 | 23720 | 0.0 | - |
| 5.4537 | 23740 | 0.0 | - |
| 5.4583 | 23760 | 0.0 | - |
| 5.4629 | 23780 | 0.0 | - |
| 5.4675 | 23800 | 0.0 | - |
| 5.4721 | 23820 | 0.0 | - |
| 5.4767 | 23840 | 0.0 | - |
| 5.4813 | 23860 | 0.0 | - |
| 5.4859 | 23880 | 0.0 | - |
| 5.4905 | 23900 | 0.0 | - |
| 5.4951 | 23920 | 0.0 | - |
| 5.4997 | 23940 | 0.0 | - |
| 5.5042 | 23960 | 0.0 | - |
| 5.5088 | 23980 | 0.0 | - |
| 5.5134 | 24000 | 0.0 | - |
| 5.5180 | 24020 | 0.0 | - |
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| 5.5272 | 24060 | 0.0 | - |
| 5.5318 | 24080 | 0.0 | - |
| 5.5364 | 24100 | 0.0 | - |
| 5.5410 | 24120 | 0.0 | - |
| 5.5456 | 24140 | 0.0 | - |
| 5.5502 | 24160 | 0.0 | - |
| 5.5548 | 24180 | 0.0 | - |
| 5.5594 | 24200 | 0.0 | - |
| 5.5640 | 24220 | 0.0 | - |
| 5.5686 | 24240 | 0.0 | - |
| 5.5732 | 24260 | 0.0 | - |
| 5.5778 | 24280 | 0.0 | - |
| 5.5824 | 24300 | 0.0 | - |
| 5.5870 | 24320 | 0.0 | - |
| 5.5915 | 24340 | 0.0 | - |
| 5.5961 | 24360 | 0.0 | - |
| 5.6007 | 24380 | 0.0 | - |
| 5.6053 | 24400 | 0.0 | - |
| 5.6099 | 24420 | 0.0 | - |
| 5.6145 | 24440 | 0.0 | - |
| 5.6191 | 24460 | 0.0 | - |
| 5.6237 | 24480 | 0.0 | - |
| 5.6283 | 24500 | 0.0 | - |
| 5.6329 | 24520 | 0.0 | - |
| 5.6375 | 24540 | 0.0 | - |
| 5.6421 | 24560 | 0.0 | - |
| 5.6467 | 24580 | 0.0 | - |
| 5.6513 | 24600 | 0.0 | - |
| 5.6559 | 24620 | 0.0 | - |
| 5.6605 | 24640 | 0.0 | - |
| 5.6651 | 24660 | 0.0 | - |
| 5.6697 | 24680 | 0.0 | - |
| 5.6742 | 24700 | 0.0 | - |
| 5.6788 | 24720 | 0.0 | - |
| 5.6834 | 24740 | 0.0 | - |
| 5.6880 | 24760 | 0.0 | - |
| 5.6926 | 24780 | 0.0 | - |
| 5.6972 | 24800 | 0.0 | - |
| 5.7018 | 24820 | 0.0 | - |
| 5.7064 | 24840 | 0.0 | - |
| 5.7110 | 24860 | 0.0 | - |
| 5.7156 | 24880 | 0.0 | - |
| 5.7202 | 24900 | 0.0 | - |
| 5.7248 | 24920 | 0.0 | - |
| 5.7294 | 24940 | 0.0 | - |
| 5.7340 | 24960 | 0.0 | - |
| 5.7386 | 24980 | 0.0 | - |
| 5.7432 | 25000 | 0.0 | - |
| 5.7478 | 25020 | 0.0 | - |
| 5.7524 | 25040 | 0.0 | - |
| 5.7569 | 25060 | 0.0 | - |
| 5.7615 | 25080 | 0.0 | - |
| 5.7661 | 25100 | 0.0 | - |
| 5.7707 | 25120 | 0.0 | - |
| 5.7753 | 25140 | 0.0 | - |
| 5.7799 | 25160 | 0.0 | - |
| 5.7845 | 25180 | 0.0 | - |
| 5.7891 | 25200 | 0.0 | - |
| 5.7937 | 25220 | 0.0 | - |
| 5.7983 | 25240 | 0.0 | - |
| 5.8029 | 25260 | 0.0 | - |
| 5.8075 | 25280 | 0.0 | - |
| 5.8121 | 25300 | 0.0 | - |
| 5.8167 | 25320 | 0.0 | - |
| 5.8213 | 25340 | 0.0 | - |
| 5.8259 | 25360 | 0.0 | - |
| 5.8305 | 25380 | 0.0 | - |
| 5.8351 | 25400 | 0.0 | - |
| 5.8397 | 25420 | 0.0 | - |
| 5.8442 | 25440 | 0.0 | - |
| 5.8488 | 25460 | 0.0 | - |
| 5.8534 | 25480 | 0.0 | - |
| 5.8580 | 25500 | 0.0 | - |
| 5.8626 | 25520 | 0.0 | - |
| 5.8672 | 25540 | 0.0 | - |
| 5.8718 | 25560 | 0.0 | - |
| 5.8764 | 25580 | 0.0 | - |
| 5.8810 | 25600 | 0.0 | - |
| 5.8856 | 25620 | 0.0 | - |
| 5.8902 | 25640 | 0.0 | - |
| 5.8948 | 25660 | 0.0 | - |
| 5.8994 | 25680 | 0.0 | - |
| 5.9040 | 25700 | 0.0 | - |
| 5.9086 | 25720 | 0.0 | - |
| 5.9132 | 25740 | 0.0 | - |
| 5.9178 | 25760 | 0.0 | - |
| 5.9224 | 25780 | 0.0 | - |
| 5.9269 | 25800 | 0.0 | - |
| 5.9315 | 25820 | 0.0 | - |
| 5.9361 | 25840 | 0.0 | - |
| 5.9407 | 25860 | 0.0 | - |
| 5.9453 | 25880 | 0.0 | - |
| 5.9499 | 25900 | 0.0 | - |
| 5.9545 | 25920 | 0.0 | - |
| 5.9591 | 25940 | 0.0 | - |
| 5.9637 | 25960 | 0.0 | - |
| 5.9683 | 25980 | 0.0 | - |
| 5.9729 | 26000 | 0.0 | - |
| 5.9775 | 26020 | 0.0 | - |
| 5.9821 | 26040 | 0.0 | - |
| 5.9867 | 26060 | 0.0 | - |
| 5.9913 | 26080 | 0.0 | - |
| 5.9959 | 26100 | 0.0 | - |
| 6.0 | 26118 | - | 0.0309 |
| 6.0005 | 26120 | 0.0 | - |
| 6.0051 | 26140 | 0.0 | - |
| 6.0096 | 26160 | 0.0 | - |
| 6.0142 | 26180 | 0.0 | - |
| 6.0188 | 26200 | 0.0 | - |
| 6.0234 | 26220 | 0.0 | - |
| 6.0280 | 26240 | 0.0 | - |
| 6.0326 | 26260 | 0.0 | - |
| 6.0372 | 26280 | 0.0 | - |
| 6.0418 | 26300 | 0.0 | - |
| 6.0464 | 26320 | 0.0 | - |
| 6.0510 | 26340 | 0.0 | - |
| 6.0556 | 26360 | 0.0 | - |
| 6.0602 | 26380 | 0.0 | - |
| 6.0648 | 26400 | 0.0 | - |
| 6.0694 | 26420 | 0.0 | - |
| 6.0740 | 26440 | 0.0 | - |
| 6.0786 | 26460 | 0.0 | - |
| 6.0832 | 26480 | 0.0 | - |
| 6.0878 | 26500 | 0.0 | - |
| 6.0924 | 26520 | 0.0 | - |
| 6.0969 | 26540 | 0.0 | - |
| 6.1015 | 26560 | 0.0 | - |
| 6.1061 | 26580 | 0.0 | - |
| 6.1107 | 26600 | 0.0 | - |
| 6.1153 | 26620 | 0.0 | - |
| 6.1199 | 26640 | 0.0 | - |
| 6.1245 | 26660 | 0.0 | - |
| 6.1291 | 26680 | 0.0 | - |
| 6.1337 | 26700 | 0.0 | - |
| 6.1383 | 26720 | 0.0 | - |
| 6.1429 | 26740 | 0.0 | - |
| 6.1475 | 26760 | 0.0 | - |
| 6.1521 | 26780 | 0.0 | - |
| 6.1567 | 26800 | 0.0 | - |
| 6.1613 | 26820 | 0.0 | - |
| 6.1659 | 26840 | 0.0 | - |
| 6.1705 | 26860 | 0.0 | - |
| 6.1751 | 26880 | 0.0 | - |
| 6.1796 | 26900 | 0.0 | - |
| 6.1842 | 26920 | 0.0 | - |
| 6.1888 | 26940 | 0.0 | - |
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| 9.9977 | 43520 | 0.0 | - |
| 10.0 | 43530 | - | 0.0350 |
### Framework Versions
- Python: 3.12.13
- SetFit: 1.1.3
- Sentence Transformers: 3.4.1
- Transformers: 4.57.6
- PyTorch: 2.10.0+cu128
- Datasets: 4.8.5
- Tokenizers: 0.22.2
## 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}
}
```