diff --git "a/README.md" "b/README.md" --- "a/README.md" +++ "b/README.md" @@ -10,17 +10,16 @@ tags: - text-classification - generated_from_setfit_trainer widget: -- text: 'metrics.statistics.average letter per word: 4.83, 4.41, 4.65, 4.77, 4.56, - 4.36, 4.94, 4.78, 4.68, 4.61, 4.92, 4.6, 4.59, 4.95, 4.88, 4.63, 4.9, 4.31, 4.81, - 4.8' +- text: 'metrics.statistics.polysyllables: 4603, 102, 339, 2604, 397, 1180, 555, 1488, + 1226, 378, 6639, 1978, 4088, 7005, 3256, 86, 2338, 1905, 1647, 16369' - text: 'company.relationship: founder, None, founder/chairman, Relation, relation, CEO, chairman, investor, founder and CEO, founder/CEO, owner, chairman of management committee, founder and chairman, Chairman and Chief Executive Officer, general director, executive chairman, Chairman/founder, founder, chairman, ceo, former chairman and CEO, relation and chairman' - text: 'variety: Western, Eastern' -- text: 'Data.Cholesterol: 14, 8, 12, 5, 2, 3, 4, 11, 15, 29, 34, 0, 6, 10, 13, 16, - 17, 7, 59, 20' +- text: 'Data.Fat.Saturated Fat: 2.009, 1.164, 1.86, 2.154, 0.568, 0.117, 1.11, 0.049, + 0.66, 1.242, 1.899, 0.596, 2.667, 0.044, 2.554, 0.633, 4.591, 1.214, 0.121, 5.486' - text: 'Date.Full: 8/26/1990, 3/24/1991, 3/31/1991, 4/7/1991, 4/14/1991, 4/21/1991, 4/28/1991, 5/5/1991, 5/12/1991, 5/19/1991, 5/26/1991, 6/2/1991, 6/9/1991, 6/16/1991, 6/23/1991, 6/30/1991, 7/7/1991, 7/14/1991, 7/21/1991, 7/28/1991' @@ -37,7 +36,7 @@ model-index: split: test metrics: - type: accuracy - value: 0.7144444444444444 + value: 0.7512388503468781 name: Accuracy --- @@ -57,7 +56,7 @@ The model has been trained using an efficient few-shot learning technique that i - **Sentence Transformer body:** [sentence-transformers/paraphrase-MiniLM-L3-v2](https://huggingface.co/sentence-transformers/paraphrase-MiniLM-L3-v2) - **Classification head:** a [LogisticRegression](https://scikit-learn.org/stable/modules/generated/sklearn.linear_model.LogisticRegression.html) instance - **Maximum Sequence Length:** 128 tokens -- **Number of Classes:** 40 classes +- **Number of Classes:** 39 classes @@ -69,55 +68,54 @@ The model has been trained using an efficient few-shot learning technique that i - **Blogpost:** [SetFit: Efficient Few-Shot Learning Without Prompts](https://huggingface.co/blog/setfit) ### Model Labels -| Label | Examples | -|:------------------------|:------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------| -| Day of Month | | -| Alphanumeric identifier | | -| Floating Point Number | | -| U.S. State Abbreviation | | -| Street Address | | -| Year | | -| Date | | -| Street Name | | -| Short text | | -| Time | | -| Partial timestamp | | -| Country Name | | -| Categorical | | -| Latitude | | -| Postal Code | | -| Boolean | | -| Numeric identifier | | -| Very short text | | -| License Plate | | -| Structured field | | -| Integer | | -| Timestamp | | -| Slug | | -| Full Name | | -| URL | | -| URI | | -| U.S. State | | -| Last Name | | -| Occupation | | -| Zip Code | | -| Month Number | | -| Color | | -| Day of Week | | -| Secondary Address | | -| Percentage | | -| Longitude | | -| Month Name | | -| AM/PM | | -| Company Name | | -| City Name | | +| Label | Examples | +|:------------------------|:-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------| +| Month Number | | +| Date | | +| Categorical | | +| Year | | +| Longitude | | +| Floating Point Number | | +| Slug | | +| U.S. State Abbreviation | | +| Month Name | | +| Day of Month | | +| Currency Code | | +| Last Name | | +| Timestamp | | +| Day of Week | | +| Integer | | +| Street Address | | +| URL | | +| U.S. State | | +| Zip Code | | +| Country Name | | +| Boolean | | +| Short text | | +| Occupation | | +| Partial timestamp | | +| Street Name | | +| Full Name | | +| Very short text | | +| URI | | +| Latitude | | +| Time | | +| Postal Code | | +| Country ISO Code | | +| First Name | | +| City Name | | +| Color | | +| License Plate | | +| AM/PM | | +| Company Name | | +| Secondary Address | | ## Evaluation ### Metrics | Label | Accuracy | |:--------|:---------| -| **all** | 0.7144 | +| **all** | 0.7512 | ## Uses @@ -135,7 +133,7 @@ Then you can load this model and run inference. from setfit import SetFitModel # Download from the 🤗 Hub -model = SetFitModel.from_pretrained("setfit_model_id") +model = SetFitModel.from_pretrained("quantisan/paraphrase-MiniLM-L3-v2-93dataset") # Run inference preds = model("variety: Western, Eastern") ``` @@ -169,15 +167,52 @@ preds = model("variety: Western, Eastern") ### Training Set Metrics | Training set | Min | Median | Max | |:-------------|:----|:--------|:----| -| Word count | 2 | 22.3441 | 100 | - -| Label | Training Sample Count | -|:---------|:----------------------| -| negative | 0 | -| positive | 0 | +| Word count | 2 | 22.3314 | 85 | + +| Label | Training Sample Count | +|:------------------------|:----------------------| +| Categorical | 8 | +| Timestamp | 5 | +| Date | 8 | +| Integer | 8 | +| Partial timestamp | 4 | +| Short text | 8 | +| Very short text | 3 | +| AM/PM | 1 | +| Boolean | 8 | +| City Name | 1 | +| Color | 3 | +| Company Name | 1 | +| Country ISO Code | 2 | +| Country Name | 8 | +| Currency Code | 1 | +| Day of Month | 4 | +| Day of Week | 4 | +| First Name | 1 | +| Floating Point Number | 8 | +| Full Name | 8 | +| Last Name | 2 | +| Latitude | 4 | +| License Plate | 1 | +| Longitude | 4 | +| Month Name | 6 | +| Month Number | 4 | +| Occupation | 3 | +| Postal Code | 1 | +| Secondary Address | 1 | +| Slug | 8 | +| Street Address | 3 | +| Street Name | 3 | +| Time | 3 | +| U.S. State | 8 | +| U.S. State Abbreviation | 6 | +| URI | 1 | +| URL | 8 | +| Year | 8 | +| Zip Code | 4 | ### Training Hyperparameters -- batch_size: (4, 4) +- batch_size: (8, 8) - num_epochs: (4, 4) - max_steps: -1 - sampling_strategy: oversampling @@ -197,689 +232,305 @@ preds = model("variety: Western, Eastern") ### Training Results | Epoch | Step | Training Loss | Validation Loss | |:------:|:-----:|:-------------:|:---------------:| -| 0.0001 | 1 | 0.5997 | - | -| 0.0060 | 50 | 0.1557 | - | -| 0.0120 | 100 | 0.1729 | - | -| 0.0179 | 150 | 0.1434 | - | -| 0.0239 | 200 | 0.1665 | - | -| 0.0299 | 250 | 0.1557 | - | -| 0.0359 | 300 | 0.1719 | - | -| 0.0419 | 350 | 0.1216 | - | -| 0.0478 | 400 | 0.122 | - | -| 0.0538 | 450 | 0.1525 | - | -| 0.0598 | 500 | 0.1387 | - | -| 0.0658 | 550 | 0.1377 | - | -| 0.0717 | 600 | 0.1017 | - | -| 0.0777 | 650 | 0.1301 | - | -| 0.0837 | 700 | 0.103 | - | -| 0.0897 | 750 | 0.1346 | - | -| 0.0957 | 800 | 0.1074 | - | -| 0.1016 | 850 | 0.1023 | - | -| 0.1076 | 900 | 0.1021 | - | -| 0.1136 | 950 | 0.1066 | - | -| 0.1196 | 1000 | 0.0996 | - | -| 0.1256 | 1050 | 0.0976 | - | -| 0.1315 | 1100 | 0.0977 | - | -| 0.1375 | 1150 | 0.0832 | - | -| 0.1435 | 1200 | 0.0966 | - | -| 0.1495 | 1250 | 0.0795 | - | -| 0.1554 | 1300 | 0.0803 | - | -| 0.1614 | 1350 | 0.0782 | - | -| 0.1674 | 1400 | 0.0692 | - | -| 0.1734 | 1450 | 0.0731 | - | -| 0.1794 | 1500 | 0.0832 | - | -| 0.1853 | 1550 | 0.0688 | - | -| 0.1913 | 1600 | 0.0466 | - | -| 0.1973 | 1650 | 0.0659 | - | -| 0.2033 | 1700 | 0.0598 | - | -| 0.2093 | 1750 | 0.0604 | - | -| 0.2152 | 1800 | 0.05 | - | -| 0.2212 | 1850 | 0.0601 | - | -| 0.2272 | 1900 | 0.043 | - | -| 0.2332 | 1950 | 0.0426 | - | -| 0.2391 | 2000 | 0.0357 | - | -| 0.2451 | 2050 | 0.0541 | - | -| 0.2511 | 2100 | 0.0407 | - | -| 0.2571 | 2150 | 0.0526 | - | -| 0.2631 | 2200 | 0.0322 | - | -| 0.2690 | 2250 | 0.0544 | - | -| 0.2750 | 2300 | 0.0351 | - | -| 0.2810 | 2350 | 0.0525 | - | -| 0.2870 | 2400 | 0.0366 | - | -| 0.2930 | 2450 | 0.0385 | - | -| 0.2989 | 2500 | 0.028 | - | -| 0.3049 | 2550 | 0.0333 | - | -| 0.3109 | 2600 | 0.0291 | - | -| 0.3169 | 2650 | 0.03 | - | -| 0.3229 | 2700 | 0.0343 | - | -| 0.3288 | 2750 | 0.029 | - | -| 0.3348 | 2800 | 0.0232 | - | -| 0.3408 | 2850 | 0.0268 | - | -| 0.3468 | 2900 | 0.0301 | - | -| 0.3527 | 2950 | 0.0267 | - | -| 0.3587 | 3000 | 0.0405 | - | -| 0.3647 | 3050 | 0.0272 | - | -| 0.3707 | 3100 | 0.0295 | - | -| 0.3767 | 3150 | 0.0506 | - | -| 0.3826 | 3200 | 0.0244 | - | -| 0.3886 | 3250 | 0.0271 | - | -| 0.3946 | 3300 | 0.0211 | - | -| 0.4006 | 3350 | 0.0379 | - | -| 0.4066 | 3400 | 0.026 | - | -| 0.4125 | 3450 | 0.0262 | - | -| 0.4185 | 3500 | 0.0276 | - | -| 0.4245 | 3550 | 0.0215 | - | -| 0.4305 | 3600 | 0.0151 | - | -| 0.4364 | 3650 | 0.0154 | - | -| 0.4424 | 3700 | 0.0324 | - | -| 0.4484 | 3750 | 0.0202 | - | -| 0.4544 | 3800 | 0.0231 | - | -| 0.4604 | 3850 | 0.0147 | - | -| 0.4663 | 3900 | 0.0204 | - | -| 0.4723 | 3950 | 0.016 | - | -| 0.4783 | 4000 | 0.0162 | - | -| 0.4843 | 4050 | 0.019 | - | -| 0.4903 | 4100 | 0.0254 | - | -| 0.4962 | 4150 | 0.0152 | - | -| 0.5022 | 4200 | 0.0205 | - | -| 0.5082 | 4250 | 0.0156 | - | -| 0.5142 | 4300 | 0.019 | - | -| 0.5201 | 4350 | 0.0204 | - | -| 0.5261 | 4400 | 0.0141 | - | -| 0.5321 | 4450 | 0.0076 | - | -| 0.5381 | 4500 | 0.0135 | - | -| 0.5441 | 4550 | 0.0122 | - | -| 0.5500 | 4600 | 0.0138 | - | -| 0.5560 | 4650 | 0.0117 | - | -| 0.5620 | 4700 | 0.0179 | - | -| 0.5680 | 4750 | 0.015 | - | -| 0.5740 | 4800 | 0.0078 | - | -| 0.5799 | 4850 | 0.015 | - | -| 0.5859 | 4900 | 0.012 | - | -| 0.5919 | 4950 | 0.0137 | - | -| 0.5979 | 5000 | 0.0189 | - | -| 0.6039 | 5050 | 0.0102 | - | -| 0.6098 | 5100 | 0.0143 | - | -| 0.6158 | 5150 | 0.0188 | - | -| 0.6218 | 5200 | 0.0111 | - | -| 0.6278 | 5250 | 0.0099 | - | -| 0.6337 | 5300 | 0.0163 | - | -| 0.6397 | 5350 | 0.0058 | - | -| 0.6457 | 5400 | 0.0158 | - | -| 0.6517 | 5450 | 0.0097 | - | -| 0.6577 | 5500 | 0.0112 | - | -| 0.6636 | 5550 | 0.0081 | - | -| 0.6696 | 5600 | 0.0049 | - | -| 0.6756 | 5650 | 0.016 | - | -| 0.6816 | 5700 | 0.0129 | - | -| 0.6876 | 5750 | 0.015 | - | -| 0.6935 | 5800 | 0.0111 | - | -| 0.6995 | 5850 | 0.0097 | - | -| 0.7055 | 5900 | 0.0086 | - | -| 0.7115 | 5950 | 0.0097 | - | -| 0.7174 | 6000 | 0.0115 | - | -| 0.7234 | 6050 | 0.0059 | - | -| 0.7294 | 6100 | 0.0208 | - | -| 0.7354 | 6150 | 0.0109 | - | -| 0.7414 | 6200 | 0.0072 | - | -| 0.7473 | 6250 | 0.0091 | - | -| 0.7533 | 6300 | 0.0052 | - | -| 0.7593 | 6350 | 0.0061 | - | -| 0.7653 | 6400 | 0.0063 | - | -| 0.7713 | 6450 | 0.0095 | - | -| 0.7772 | 6500 | 0.0074 | - | -| 0.7832 | 6550 | 0.0034 | - | -| 0.7892 | 6600 | 0.0115 | - | -| 0.7952 | 6650 | 0.0087 | - | -| 0.8011 | 6700 | 0.0082 | - | -| 0.8071 | 6750 | 0.0082 | - | -| 0.8131 | 6800 | 0.0156 | - | -| 0.8191 | 6850 | 0.0035 | - | -| 0.8251 | 6900 | 0.0078 | - | -| 0.8310 | 6950 | 0.0064 | - | -| 0.8370 | 7000 | 0.0083 | - | -| 0.8430 | 7050 | 0.024 | - | -| 0.8490 | 7100 | 0.0141 | - | -| 0.8550 | 7150 | 0.0071 | - | -| 0.8609 | 7200 | 0.0097 | - | -| 0.8669 | 7250 | 0.0077 | - | -| 0.8729 | 7300 | 0.0126 | - | -| 0.8789 | 7350 | 0.0105 | - | -| 0.8848 | 7400 | 0.0109 | - | -| 0.8908 | 7450 | 0.0046 | - | -| 0.8968 | 7500 | 0.0053 | - | -| 0.9028 | 7550 | 0.005 | - | -| 0.9088 | 7600 | 0.0066 | - | -| 0.9147 | 7650 | 0.008 | - | -| 0.9207 | 7700 | 0.0043 | - | -| 0.9267 | 7750 | 0.009 | - | -| 0.9327 | 7800 | 0.0076 | - | -| 0.9387 | 7850 | 0.01 | - | -| 0.9446 | 7900 | 0.0032 | - | -| 0.9506 | 7950 | 0.0087 | - | -| 0.9566 | 8000 | 0.007 | - | -| 0.9626 | 8050 | 0.0047 | - | -| 0.9686 | 8100 | 0.0078 | - | -| 0.9745 | 8150 | 0.0072 | - | -| 0.9805 | 8200 | 0.0074 | - | -| 0.9865 | 8250 | 0.0047 | - | -| 0.9925 | 8300 | 0.0087 | - | -| 0.9984 | 8350 | 0.0049 | - | -| 1.0 | 8363 | - | 0.1397 | -| 1.0044 | 8400 | 0.0078 | - | -| 1.0104 | 8450 | 0.0041 | - | -| 1.0164 | 8500 | 0.0053 | - | -| 1.0224 | 8550 | 0.0033 | - | -| 1.0283 | 8600 | 0.0084 | - | -| 1.0343 | 8650 | 0.0043 | - | -| 1.0403 | 8700 | 0.0033 | - | -| 1.0463 | 8750 | 0.0101 | - | -| 1.0523 | 8800 | 0.0061 | - | -| 1.0582 | 8850 | 0.0042 | - | -| 1.0642 | 8900 | 0.0028 | - | -| 1.0702 | 8950 | 0.0071 | - | -| 1.0762 | 9000 | 0.0031 | - | -| 1.0821 | 9050 | 0.0046 | - | -| 1.0881 | 9100 | 0.003 | - | -| 1.0941 | 9150 | 0.0029 | - | -| 1.1001 | 9200 | 0.0043 | - | -| 1.1061 | 9250 | 0.0095 | - | -| 1.1120 | 9300 | 0.0113 | - | -| 1.1180 | 9350 | 0.0038 | - | -| 1.1240 | 9400 | 0.0057 | - | -| 1.1300 | 9450 | 0.0103 | - | -| 1.1360 | 9500 | 0.005 | - | -| 1.1419 | 9550 | 0.0061 | - | -| 1.1479 | 9600 | 0.0026 | - | -| 1.1539 | 9650 | 0.0069 | - | -| 1.1599 | 9700 | 0.0128 | - | -| 1.1658 | 9750 | 0.0039 | - | -| 1.1718 | 9800 | 0.0076 | - | -| 1.1778 | 9850 | 0.0025 | - | -| 1.1838 | 9900 | 0.0064 | - | -| 1.1898 | 9950 | 0.002 | - | -| 1.1957 | 10000 | 0.0092 | - | -| 1.2017 | 10050 | 0.0044 | - | -| 1.2077 | 10100 | 0.0031 | - | -| 1.2137 | 10150 | 0.0024 | - | -| 1.2197 | 10200 | 0.0029 | - | -| 1.2256 | 10250 | 0.0056 | - | -| 1.2316 | 10300 | 0.0023 | - | -| 1.2376 | 10350 | 0.0073 | - | -| 1.2436 | 10400 | 0.0067 | - | -| 1.2496 | 10450 | 0.0076 | - | -| 1.2555 | 10500 | 0.003 | - | -| 1.2615 | 10550 | 0.0031 | - | -| 1.2675 | 10600 | 0.002 | - | -| 1.2735 | 10650 | 0.003 | - | -| 1.2794 | 10700 | 0.0035 | - | -| 1.2854 | 10750 | 0.0059 | - | -| 1.2914 | 10800 | 0.0064 | - | -| 1.2974 | 10850 | 0.0074 | - | -| 1.3034 | 10900 | 0.0079 | - | -| 1.3093 | 10950 | 0.0022 | - | -| 1.3153 | 11000 | 0.0046 | - | -| 1.3213 | 11050 | 0.0042 | - | -| 1.3273 | 11100 | 0.0061 | - | -| 1.3333 | 11150 | 0.0037 | - | -| 1.3392 | 11200 | 0.0019 | - | -| 1.3452 | 11250 | 0.0074 | - | -| 1.3512 | 11300 | 0.0019 | - | -| 1.3572 | 11350 | 0.0036 | - | -| 1.3631 | 11400 | 0.0024 | - | -| 1.3691 | 11450 | 0.0068 | - | -| 1.3751 | 11500 | 0.0036 | - | -| 1.3811 | 11550 | 0.0069 | - | -| 1.3871 | 11600 | 0.0022 | - | -| 1.3930 | 11650 | 0.0017 | - | -| 1.3990 | 11700 | 0.0059 | - | -| 1.4050 | 11750 | 0.0017 | - | -| 1.4110 | 11800 | 0.0044 | - | -| 1.4170 | 11850 | 0.0029 | - | -| 1.4229 | 11900 | 0.002 | - | -| 1.4289 | 11950 | 0.0017 | - | -| 1.4349 | 12000 | 0.0042 | - | -| 1.4409 | 12050 | 0.0044 | - | -| 1.4468 | 12100 | 0.0017 | - | -| 1.4528 | 12150 | 0.0063 | - | -| 1.4588 | 12200 | 0.0036 | - | -| 1.4648 | 12250 | 0.0019 | - | -| 1.4708 | 12300 | 0.0033 | - | -| 1.4767 | 12350 | 0.0017 | - | -| 1.4827 | 12400 | 0.0026 | - | -| 1.4887 | 12450 | 0.0062 | - | -| 1.4947 | 12500 | 0.0037 | - | -| 1.5007 | 12550 | 0.0057 | - | -| 1.5066 | 12600 | 0.0053 | - | -| 1.5126 | 12650 | 0.0074 | - | -| 1.5186 | 12700 | 0.0026 | - | -| 1.5246 | 12750 | 0.0026 | - | -| 1.5306 | 12800 | 0.006 | - | -| 1.5365 | 12850 | 0.0032 | - | -| 1.5425 | 12900 | 0.006 | - | -| 1.5485 | 12950 | 0.0036 | - | -| 1.5545 | 13000 | 0.0016 | - | -| 1.5604 | 13050 | 0.0021 | - | -| 1.5664 | 13100 | 0.006 | - | -| 1.5724 | 13150 | 0.0018 | - | -| 1.5784 | 13200 | 0.0017 | - | -| 1.5844 | 13250 | 0.0036 | - | -| 1.5903 | 13300 | 0.0016 | - | -| 1.5963 | 13350 | 0.0015 | - | -| 1.6023 | 13400 | 0.0029 | - | -| 1.6083 | 13450 | 0.0048 | - | -| 1.6143 | 13500 | 0.0029 | - | -| 1.6202 | 13550 | 0.0025 | - | -| 1.6262 | 13600 | 0.0035 | - | -| 1.6322 | 13650 | 0.0034 | - | -| 1.6382 | 13700 | 0.0031 | - | -| 1.6441 | 13750 | 0.013 | - | -| 1.6501 | 13800 | 0.0104 | - | -| 1.6561 | 13850 | 0.0066 | - | -| 1.6621 | 13900 | 0.0018 | - | -| 1.6681 | 13950 | 0.0027 | - | -| 1.6740 | 14000 | 0.0048 | - | -| 1.6800 | 14050 | 0.0057 | - | -| 1.6860 | 14100 | 0.0019 | - | -| 1.6920 | 14150 | 0.0023 | - | -| 1.6980 | 14200 | 0.0034 | - | -| 1.7039 | 14250 | 0.0018 | - | -| 1.7099 | 14300 | 0.004 | - | -| 1.7159 | 14350 | 0.0013 | - | -| 1.7219 | 14400 | 0.0054 | - | -| 1.7278 | 14450 | 0.0023 | - | -| 1.7338 | 14500 | 0.0018 | - | -| 1.7398 | 14550 | 0.0042 | - | -| 1.7458 | 14600 | 0.002 | - | -| 1.7518 | 14650 | 0.0037 | - | -| 1.7577 | 14700 | 0.0026 | - | -| 1.7637 | 14750 | 0.0027 | - | -| 1.7697 | 14800 | 0.0097 | - | -| 1.7757 | 14850 | 0.0017 | - | -| 1.7817 | 14900 | 0.0062 | - | -| 1.7876 | 14950 | 0.0021 | - | -| 1.7936 | 15000 | 0.0018 | - | -| 1.7996 | 15050 | 0.0058 | - | -| 1.8056 | 15100 | 0.0016 | - | -| 1.8116 | 15150 | 0.0085 | - | -| 1.8175 | 15200 | 0.0028 | - | -| 1.8235 | 15250 | 0.0036 | - | -| 1.8295 | 15300 | 0.003 | - | -| 1.8355 | 15350 | 0.0035 | - | -| 1.8414 | 15400 | 0.0015 | - | -| 1.8474 | 15450 | 0.0041 | - | -| 1.8534 | 15500 | 0.0016 | - | -| 1.8594 | 15550 | 0.0016 | - | -| 1.8654 | 15600 | 0.0013 | - | -| 1.8713 | 15650 | 0.0013 | - | -| 1.8773 | 15700 | 0.0009 | - | -| 1.8833 | 15750 | 0.0023 | - | -| 1.8893 | 15800 | 0.0015 | - | -| 1.8953 | 15850 | 0.0019 | - | -| 1.9012 | 15900 | 0.0027 | - | -| 1.9072 | 15950 | 0.0048 | - | -| 1.9132 | 16000 | 0.0062 | - | -| 1.9192 | 16050 | 0.0019 | - | -| 1.9251 | 16100 | 0.0032 | - | -| 1.9311 | 16150 | 0.0015 | - | -| 1.9371 | 16200 | 0.0025 | - | -| 1.9431 | 16250 | 0.004 | - | -| 1.9491 | 16300 | 0.0027 | - | -| 1.9550 | 16350 | 0.0013 | - | -| 1.9610 | 16400 | 0.0053 | - | -| 1.9670 | 16450 | 0.0012 | - | -| 1.9730 | 16500 | 0.0063 | - | -| 1.9790 | 16550 | 0.0016 | - | -| 1.9849 | 16600 | 0.0014 | - | -| 1.9909 | 16650 | 0.0013 | - | -| 1.9969 | 16700 | 0.0015 | - | -| 2.0 | 16726 | - | 0.1431 | -| 2.0029 | 16750 | 0.0041 | - | -| 2.0088 | 16800 | 0.0017 | - | -| 2.0148 | 16850 | 0.0015 | - | -| 2.0208 | 16900 | 0.0014 | - | -| 2.0268 | 16950 | 0.002 | - | -| 2.0328 | 17000 | 0.0012 | - | -| 2.0387 | 17050 | 0.001 | - | -| 2.0447 | 17100 | 0.001 | - | -| 2.0507 | 17150 | 0.0055 | - | -| 2.0567 | 17200 | 0.0019 | - | -| 2.0627 | 17250 | 0.006 | - | -| 2.0686 | 17300 | 0.006 | - | -| 2.0746 | 17350 | 0.0015 | - | -| 2.0806 | 17400 | 0.0079 | - | -| 2.0866 | 17450 | 0.0009 | - | -| 2.0926 | 17500 | 0.0023 | - | -| 2.0985 | 17550 | 0.0059 | - | -| 2.1045 | 17600 | 0.0018 | - | -| 2.1105 | 17650 | 0.0011 | - | -| 2.1165 | 17700 | 0.0022 | - | -| 2.1224 | 17750 | 0.0023 | - | -| 2.1284 | 17800 | 0.0013 | - | -| 2.1344 | 17850 | 0.0025 | - | -| 2.1404 | 17900 | 0.0009 | - | -| 2.1464 | 17950 | 0.0014 | - | -| 2.1523 | 18000 | 0.0016 | - | -| 2.1583 | 18050 | 0.0018 | - | -| 2.1643 | 18100 | 0.0018 | - | -| 2.1703 | 18150 | 0.0014 | - | -| 2.1763 | 18200 | 0.0028 | - | -| 2.1822 | 18250 | 0.0016 | - | -| 2.1882 | 18300 | 0.0044 | - | -| 2.1942 | 18350 | 0.0036 | - | -| 2.2002 | 18400 | 0.0027 | - | -| 2.2061 | 18450 | 0.0018 | - | -| 2.2121 | 18500 | 0.0022 | - | -| 2.2181 | 18550 | 0.0015 | - | -| 2.2241 | 18600 | 0.0017 | - | -| 2.2301 | 18650 | 0.0009 | - | -| 2.2360 | 18700 | 0.0011 | - | -| 2.2420 | 18750 | 0.0012 | - | -| 2.2480 | 18800 | 0.0045 | - | -| 2.2540 | 18850 | 0.0014 | - | -| 2.2600 | 18900 | 0.0013 | - | -| 2.2659 | 18950 | 0.0009 | - | -| 2.2719 | 19000 | 0.0032 | - | -| 2.2779 | 19050 | 0.0036 | - | -| 2.2839 | 19100 | 0.0006 | - | -| 2.2898 | 19150 | 0.0011 | - | -| 2.2958 | 19200 | 0.0011 | - | -| 2.3018 | 19250 | 0.0013 | - | -| 2.3078 | 19300 | 0.0009 | - | -| 2.3138 | 19350 | 0.0009 | - | -| 2.3197 | 19400 | 0.0007 | - | -| 2.3257 | 19450 | 0.0008 | - | -| 2.3317 | 19500 | 0.0047 | - | -| 2.3377 | 19550 | 0.003 | - | -| 2.3437 | 19600 | 0.0013 | - | -| 2.3496 | 19650 | 0.0057 | - | -| 2.3556 | 19700 | 0.003 | - | -| 2.3616 | 19750 | 0.0013 | - | -| 2.3676 | 19800 | 0.0024 | - | -| 2.3736 | 19850 | 0.0026 | - | -| 2.3795 | 19900 | 0.0026 | - | -| 2.3855 | 19950 | 0.0027 | - | -| 2.3915 | 20000 | 0.001 | - | -| 2.3975 | 20050 | 0.005 | - | -| 2.4034 | 20100 | 0.0019 | - | -| 2.4094 | 20150 | 0.0007 | - | -| 2.4154 | 20200 | 0.0039 | - | -| 2.4214 | 20250 | 0.0036 | - | -| 2.4274 | 20300 | 0.002 | - | -| 2.4333 | 20350 | 0.0025 | - | -| 2.4393 | 20400 | 0.0013 | - | -| 2.4453 | 20450 | 0.0024 | - | -| 2.4513 | 20500 | 0.0036 | - | -| 2.4573 | 20550 | 0.006 | - | -| 2.4632 | 20600 | 0.0017 | - | -| 2.4692 | 20650 | 0.0013 | - | -| 2.4752 | 20700 | 0.0054 | - | -| 2.4812 | 20750 | 0.001 | - | -| 2.4871 | 20800 | 0.0012 | - | -| 2.4931 | 20850 | 0.0009 | - | -| 2.4991 | 20900 | 0.0012 | - | -| 2.5051 | 20950 | 0.0009 | - | -| 2.5111 | 21000 | 0.0023 | - | -| 2.5170 | 21050 | 0.0011 | - | -| 2.5230 | 21100 | 0.0013 | - | -| 2.5290 | 21150 | 0.0007 | - | -| 2.5350 | 21200 | 0.0011 | - | -| 2.5410 | 21250 | 0.0012 | - | -| 2.5469 | 21300 | 0.0036 | - | -| 2.5529 | 21350 | 0.0044 | - | -| 2.5589 | 21400 | 0.001 | - | -| 2.5649 | 21450 | 0.002 | - | -| 2.5708 | 21500 | 0.0043 | - | -| 2.5768 | 21550 | 0.0022 | - | -| 2.5828 | 21600 | 0.0014 | - | -| 2.5888 | 21650 | 0.005 | - | -| 2.5948 | 21700 | 0.0008 | - | -| 2.6007 | 21750 | 0.0008 | - | -| 2.6067 | 21800 | 0.0014 | - | -| 2.6127 | 21850 | 0.0022 | - | -| 2.6187 | 21900 | 0.0015 | - | -| 2.6247 | 21950 | 0.0029 | - | -| 2.6306 | 22000 | 0.0013 | - | -| 2.6366 | 22050 | 0.0011 | - | -| 2.6426 | 22100 | 0.0012 | - | -| 2.6486 | 22150 | 0.0008 | - | -| 2.6545 | 22200 | 0.0015 | - | -| 2.6605 | 22250 | 0.0009 | - | -| 2.6665 | 22300 | 0.0008 | - | -| 2.6725 | 22350 | 0.006 | - | -| 2.6785 | 22400 | 0.0012 | - | -| 2.6844 | 22450 | 0.0026 | - | -| 2.6904 | 22500 | 0.0008 | - | -| 2.6964 | 22550 | 0.0009 | - | -| 2.7024 | 22600 | 0.0013 | - | -| 2.7084 | 22650 | 0.0064 | - | -| 2.7143 | 22700 | 0.0053 | - | -| 2.7203 | 22750 | 0.0009 | - | -| 2.7263 | 22800 | 0.002 | - | -| 2.7323 | 22850 | 0.0024 | - | -| 2.7383 | 22900 | 0.0014 | - | -| 2.7442 | 22950 | 0.0049 | - | -| 2.7502 | 23000 | 0.0017 | - | -| 2.7562 | 23050 | 0.0009 | - | -| 2.7622 | 23100 | 0.0011 | - | -| 2.7681 | 23150 | 0.0017 | - | -| 2.7741 | 23200 | 0.0011 | - | -| 2.7801 | 23250 | 0.0017 | - | -| 2.7861 | 23300 | 0.0009 | - | -| 2.7921 | 23350 | 0.0013 | - | -| 2.7980 | 23400 | 0.0005 | - | -| 2.8040 | 23450 | 0.0009 | - | -| 2.8100 | 23500 | 0.0044 | - | -| 2.8160 | 23550 | 0.0006 | - | -| 2.8220 | 23600 | 0.0006 | - | -| 2.8279 | 23650 | 0.0054 | - | -| 2.8339 | 23700 | 0.001 | - | -| 2.8399 | 23750 | 0.0044 | - | -| 2.8459 | 23800 | 0.0014 | - | -| 2.8518 | 23850 | 0.0011 | - | -| 2.8578 | 23900 | 0.001 | - | -| 2.8638 | 23950 | 0.0014 | - | -| 2.8698 | 24000 | 0.0021 | - | -| 2.8758 | 24050 | 0.0015 | - | -| 2.8817 | 24100 | 0.0013 | - | -| 2.8877 | 24150 | 0.0011 | - | -| 2.8937 | 24200 | 0.0007 | - | -| 2.8997 | 24250 | 0.0009 | - | -| 2.9057 | 24300 | 0.001 | - | -| 2.9116 | 24350 | 0.0006 | - | -| 2.9176 | 24400 | 0.0029 | - | -| 2.9236 | 24450 | 0.0006 | - | -| 2.9296 | 24500 | 0.003 | - | -| 2.9355 | 24550 | 0.001 | - | -| 2.9415 | 24600 | 0.001 | - | -| 2.9475 | 24650 | 0.0005 | - | -| 2.9535 | 24700 | 0.0008 | - | -| 2.9595 | 24750 | 0.0009 | - | -| 2.9654 | 24800 | 0.0012 | - | -| 2.9714 | 24850 | 0.0012 | - | -| 2.9774 | 24900 | 0.0042 | - | -| 2.9834 | 24950 | 0.0011 | - | -| 2.9894 | 25000 | 0.0022 | - | -| 2.9953 | 25050 | 0.0006 | - | -| 3.0 | 25089 | - | 0.1379 | -| 3.0013 | 25100 | 0.0017 | - | -| 3.0073 | 25150 | 0.0014 | - | -| 3.0133 | 25200 | 0.0006 | - | -| 3.0193 | 25250 | 0.001 | - | -| 3.0252 | 25300 | 0.0044 | - | -| 3.0312 | 25350 | 0.0023 | - | -| 3.0372 | 25400 | 0.0015 | - | -| 3.0432 | 25450 | 0.005 | - | -| 3.0491 | 25500 | 0.0009 | - | -| 3.0551 | 25550 | 0.0007 | - | -| 3.0611 | 25600 | 0.0054 | - | -| 3.0671 | 25650 | 0.0007 | - | -| 3.0731 | 25700 | 0.0014 | - | -| 3.0790 | 25750 | 0.0011 | - | -| 3.0850 | 25800 | 0.0014 | - | -| 3.0910 | 25850 | 0.0019 | - | -| 3.0970 | 25900 | 0.0014 | - | -| 3.1030 | 25950 | 0.0011 | - | -| 3.1089 | 26000 | 0.0013 | - | -| 3.1149 | 26050 | 0.0013 | - | -| 3.1209 | 26100 | 0.0013 | - | -| 3.1269 | 26150 | 0.0005 | - | -| 3.1328 | 26200 | 0.0006 | - | -| 3.1388 | 26250 | 0.0015 | - | -| 3.1448 | 26300 | 0.0058 | - | -| 3.1508 | 26350 | 0.001 | - | -| 3.1568 | 26400 | 0.0022 | - | -| 3.1627 | 26450 | 0.0008 | - | -| 3.1687 | 26500 | 0.001 | - | -| 3.1747 | 26550 | 0.0005 | - | -| 3.1807 | 26600 | 0.0013 | - | -| 3.1867 | 26650 | 0.0006 | - | -| 3.1926 | 26700 | 0.0009 | - | -| 3.1986 | 26750 | 0.0008 | - | -| 3.2046 | 26800 | 0.0006 | - | -| 3.2106 | 26850 | 0.0008 | - | -| 3.2165 | 26900 | 0.0006 | - | -| 3.2225 | 26950 | 0.0007 | - | -| 3.2285 | 27000 | 0.0055 | - | -| 3.2345 | 27050 | 0.0014 | - | -| 3.2405 | 27100 | 0.0007 | - | -| 3.2464 | 27150 | 0.0005 | - | -| 3.2524 | 27200 | 0.0006 | - | -| 3.2584 | 27250 | 0.0024 | - | -| 3.2644 | 27300 | 0.0011 | - | -| 3.2704 | 27350 | 0.0006 | - | -| 3.2763 | 27400 | 0.0006 | - | -| 3.2823 | 27450 | 0.0007 | - | -| 3.2883 | 27500 | 0.0024 | - | -| 3.2943 | 27550 | 0.0024 | - | -| 3.3003 | 27600 | 0.003 | - | -| 3.3062 | 27650 | 0.0006 | - | -| 3.3122 | 27700 | 0.0007 | - | -| 3.3182 | 27750 | 0.0056 | - | -| 3.3242 | 27800 | 0.0043 | - | -| 3.3301 | 27850 | 0.0015 | - | -| 3.3361 | 27900 | 0.0005 | - | -| 3.3421 | 27950 | 0.0008 | - | -| 3.3481 | 28000 | 0.0061 | - | -| 3.3541 | 28050 | 0.0017 | - | -| 3.3600 | 28100 | 0.0009 | - | -| 3.3660 | 28150 | 0.0017 | - | -| 3.3720 | 28200 | 0.001 | - | -| 3.3780 | 28250 | 0.0004 | - | -| 3.3840 | 28300 | 0.001 | - | -| 3.3899 | 28350 | 0.0008 | - | -| 3.3959 | 28400 | 0.0052 | - | -| 3.4019 | 28450 | 0.0014 | - | -| 3.4079 | 28500 | 0.0006 | - | -| 3.4138 | 28550 | 0.001 | - | -| 3.4198 | 28600 | 0.0009 | - | -| 3.4258 | 28650 | 0.0004 | - | -| 3.4318 | 28700 | 0.0047 | - | -| 3.4378 | 28750 | 0.0004 | - | -| 3.4437 | 28800 | 0.0011 | - | -| 3.4497 | 28850 | 0.0014 | - | -| 3.4557 | 28900 | 0.001 | - | -| 3.4617 | 28950 | 0.0016 | - | -| 3.4677 | 29000 | 0.0045 | - | -| 3.4736 | 29050 | 0.0009 | - | -| 3.4796 | 29100 | 0.0007 | - | -| 3.4856 | 29150 | 0.001 | - | -| 3.4916 | 29200 | 0.0007 | - | -| 3.4975 | 29250 | 0.0021 | - | -| 3.5035 | 29300 | 0.001 | - | -| 3.5095 | 29350 | 0.0004 | - | -| 3.5155 | 29400 | 0.0005 | - | -| 3.5215 | 29450 | 0.0005 | - | -| 3.5274 | 29500 | 0.0017 | - | -| 3.5334 | 29550 | 0.0056 | - | -| 3.5394 | 29600 | 0.0009 | - | -| 3.5454 | 29650 | 0.0006 | - | -| 3.5514 | 29700 | 0.001 | - | -| 3.5573 | 29750 | 0.001 | - | -| 3.5633 | 29800 | 0.0007 | - | -| 3.5693 | 29850 | 0.001 | - | -| 3.5753 | 29900 | 0.0003 | - | -| 3.5813 | 29950 | 0.0007 | - | -| 3.5872 | 30000 | 0.0045 | - | -| 3.5932 | 30050 | 0.0008 | - | -| 3.5992 | 30100 | 0.0055 | - | -| 3.6052 | 30150 | 0.0014 | - | -| 3.6111 | 30200 | 0.0007 | - | -| 3.6171 | 30250 | 0.0012 | - | -| 3.6231 | 30300 | 0.0015 | - | -| 3.6291 | 30350 | 0.001 | - | -| 3.6351 | 30400 | 0.0006 | - | -| 3.6410 | 30450 | 0.0005 | - | -| 3.6470 | 30500 | 0.0007 | - | -| 3.6530 | 30550 | 0.0012 | - | -| 3.6590 | 30600 | 0.0008 | - | -| 3.6650 | 30650 | 0.0018 | - | -| 3.6709 | 30700 | 0.0021 | - | -| 3.6769 | 30750 | 0.0006 | - | -| 3.6829 | 30800 | 0.0006 | - | -| 3.6889 | 30850 | 0.0018 | - | -| 3.6948 | 30900 | 0.0006 | - | -| 3.7008 | 30950 | 0.0008 | - | -| 3.7068 | 31000 | 0.0012 | - | -| 3.7128 | 31050 | 0.0018 | - | -| 3.7188 | 31100 | 0.0008 | - | -| 3.7247 | 31150 | 0.0009 | - | -| 3.7307 | 31200 | 0.0005 | - | -| 3.7367 | 31250 | 0.0012 | - | -| 3.7427 | 31300 | 0.0019 | - | -| 3.7487 | 31350 | 0.0018 | - | -| 3.7546 | 31400 | 0.0007 | - | -| 3.7606 | 31450 | 0.0042 | - | -| 3.7666 | 31500 | 0.001 | - | -| 3.7726 | 31550 | 0.0043 | - | -| 3.7785 | 31600 | 0.0015 | - | -| 3.7845 | 31650 | 0.0011 | - | -| 3.7905 | 31700 | 0.0004 | - | -| 3.7965 | 31750 | 0.0008 | - | -| 3.8025 | 31800 | 0.0013 | - | -| 3.8084 | 31850 | 0.0005 | - | -| 3.8144 | 31900 | 0.0042 | - | -| 3.8204 | 31950 | 0.0022 | - | -| 3.8264 | 32000 | 0.0007 | - | -| 3.8324 | 32050 | 0.0007 | - | -| 3.8383 | 32100 | 0.0008 | - | -| 3.8443 | 32150 | 0.0008 | - | -| 3.8503 | 32200 | 0.0015 | - | -| 3.8563 | 32250 | 0.0011 | - | -| 3.8623 | 32300 | 0.0007 | - | -| 3.8682 | 32350 | 0.001 | - | -| 3.8742 | 32400 | 0.0006 | - | -| 3.8802 | 32450 | 0.0005 | - | -| 3.8862 | 32500 | 0.0005 | - | -| 3.8921 | 32550 | 0.0014 | - | -| 3.8981 | 32600 | 0.0007 | - | -| 3.9041 | 32650 | 0.0007 | - | -| 3.9101 | 32700 | 0.0043 | - | -| 3.9161 | 32750 | 0.0003 | - | -| 3.9220 | 32800 | 0.0015 | - | -| 3.9280 | 32850 | 0.0005 | - | -| 3.9340 | 32900 | 0.0048 | - | -| 3.9400 | 32950 | 0.0019 | - | -| 3.9460 | 33000 | 0.0018 | - | -| 3.9519 | 33050 | 0.0006 | - | -| 3.9579 | 33100 | 0.001 | - | -| 3.9639 | 33150 | 0.0006 | - | -| 3.9699 | 33200 | 0.0008 | - | -| 3.9758 | 33250 | 0.0004 | - | -| 3.9818 | 33300 | 0.004 | - | -| 3.9878 | 33350 | 0.0007 | - | -| 3.9938 | 33400 | 0.001 | - | -| 3.9998 | 33450 | 0.0007 | - | -| 4.0 | 33452 | - | 0.1389 | +| 0.0003 | 1 | 0.3882 | - | +| 0.0140 | 50 | 0.1864 | - | +| 0.0280 | 100 | 0.1588 | - | +| 0.0421 | 150 | 0.15 | - | +| 0.0561 | 200 | 0.1537 | - | +| 0.0701 | 250 | 0.1325 | - | +| 0.0841 | 300 | 0.132 | - | +| 0.0981 | 350 | 0.1149 | - | +| 0.1121 | 400 | 0.1198 | - | +| 0.1262 | 450 | 0.1035 | - | +| 0.1402 | 500 | 0.0907 | - | +| 0.1542 | 550 | 0.0917 | - | +| 0.1682 | 600 | 0.0875 | - | +| 0.1822 | 650 | 0.0803 | - | +| 0.1962 | 700 | 0.0669 | - | +| 0.2103 | 750 | 0.0671 | - | +| 0.2243 | 800 | 0.0614 | - | +| 0.2383 | 850 | 0.0642 | - | +| 0.2523 | 900 | 0.0481 | - | +| 0.2663 | 950 | 0.0548 | - | +| 0.2803 | 1000 | 0.0346 | - | +| 0.2944 | 1050 | 0.0406 | - | +| 0.3084 | 1100 | 0.0403 | - | +| 0.3224 | 1150 | 0.0349 | - | +| 0.3364 | 1200 | 0.0312 | - | +| 0.3504 | 1250 | 0.0378 | - | +| 0.3645 | 1300 | 0.0335 | - | +| 0.3785 | 1350 | 0.0323 | - | +| 0.3925 | 1400 | 0.0234 | - | +| 0.4065 | 1450 | 0.0313 | - | +| 0.4205 | 1500 | 0.022 | - | +| 0.4345 | 1550 | 0.0326 | - | +| 0.4486 | 1600 | 0.0233 | - | +| 0.4626 | 1650 | 0.0195 | - | +| 0.4766 | 1700 | 0.0254 | - | +| 0.4906 | 1750 | 0.0211 | - | +| 0.5046 | 1800 | 0.0198 | - | +| 0.5186 | 1850 | 0.0201 | - | +| 0.5327 | 1900 | 0.0216 | - | +| 0.5467 | 1950 | 0.0174 | - | +| 0.5607 | 2000 | 0.0176 | - | +| 0.5747 | 2050 | 0.0234 | - | +| 0.5887 | 2100 | 0.0172 | - | +| 0.6027 | 2150 | 0.0129 | - | +| 0.6168 | 2200 | 0.0151 | - | +| 0.6308 | 2250 | 0.015 | - | +| 0.6448 | 2300 | 0.0164 | - | +| 0.6588 | 2350 | 0.0137 | - | +| 0.6728 | 2400 | 0.014 | - | +| 0.6869 | 2450 | 0.0154 | - | +| 0.7009 | 2500 | 0.0135 | - | +| 0.7149 | 2550 | 0.0164 | - | +| 0.7289 | 2600 | 0.0139 | - | +| 0.7429 | 2650 | 0.0164 | - | +| 0.7569 | 2700 | 0.0106 | - | +| 0.7710 | 2750 | 0.0084 | - | +| 0.7850 | 2800 | 0.0133 | - | +| 0.7990 | 2850 | 0.0114 | - | +| 0.8130 | 2900 | 0.0066 | - | +| 0.8270 | 2950 | 0.0091 | - | +| 0.8410 | 3000 | 0.0126 | - | +| 0.8551 | 3050 | 0.0107 | - | +| 0.8691 | 3100 | 0.0068 | - | +| 0.8831 | 3150 | 0.006 | - | +| 0.8971 | 3200 | 0.007 | - | +| 0.9111 | 3250 | 0.0155 | - | +| 0.9251 | 3300 | 0.0111 | - | +| 0.9392 | 3350 | 0.0049 | - | +| 0.9532 | 3400 | 0.0076 | - | +| 0.9672 | 3450 | 0.0092 | - | +| 0.9812 | 3500 | 0.0086 | - | +| 0.9952 | 3550 | 0.0061 | - | +| 1.0 | 3567 | - | 0.1341 | +| 1.0093 | 3600 | 0.0073 | - | +| 1.0233 | 3650 | 0.0065 | - | +| 1.0373 | 3700 | 0.0063 | - | +| 1.0513 | 3750 | 0.0094 | - | +| 1.0653 | 3800 | 0.0114 | - | +| 1.0793 | 3850 | 0.0084 | - | +| 1.0934 | 3900 | 0.0098 | - | +| 1.1074 | 3950 | 0.0058 | - | +| 1.1214 | 4000 | 0.0045 | - | +| 1.1354 | 4050 | 0.018 | - | +| 1.1494 | 4100 | 0.0077 | - | +| 1.1634 | 4150 | 0.0067 | - | +| 1.1775 | 4200 | 0.0061 | - | +| 1.1915 | 4250 | 0.0037 | - | +| 1.2055 | 4300 | 0.0045 | - | +| 1.2195 | 4350 | 0.0033 | - | +| 1.2335 | 4400 | 0.0067 | - | +| 1.2475 | 4450 | 0.0054 | - | +| 1.2616 | 4500 | 0.0057 | - | +| 1.2756 | 4550 | 0.004 | - | +| 1.2896 | 4600 | 0.0033 | - | +| 1.3036 | 4650 | 0.0076 | - | +| 1.3176 | 4700 | 0.0045 | - | +| 1.3317 | 4750 | 0.0068 | - | +| 1.3457 | 4800 | 0.0043 | - | +| 1.3597 | 4850 | 0.0049 | - | +| 1.3737 | 4900 | 0.0045 | - | +| 1.3877 | 4950 | 0.0055 | - | +| 1.4017 | 5000 | 0.0065 | - | +| 1.4158 | 5050 | 0.0029 | - | +| 1.4298 | 5100 | 0.0041 | - | +| 1.4438 | 5150 | 0.0064 | - | +| 1.4578 | 5200 | 0.0031 | - | +| 1.4718 | 5250 | 0.0078 | - | +| 1.4858 | 5300 | 0.0031 | - | +| 1.4999 | 5350 | 0.004 | - | +| 1.5139 | 5400 | 0.0035 | - | +| 1.5279 | 5450 | 0.0062 | - | +| 1.5419 | 5500 | 0.0062 | - | +| 1.5559 | 5550 | 0.0065 | - | +| 1.5699 | 5600 | 0.0036 | - | +| 1.5840 | 5650 | 0.0037 | - | +| 1.5980 | 5700 | 0.0047 | - | +| 1.6120 | 5750 | 0.0037 | - | +| 1.6260 | 5800 | 0.0028 | - | +| 1.6400 | 5850 | 0.0052 | - | +| 1.6541 | 5900 | 0.0043 | - | +| 1.6681 | 5950 | 0.0029 | - | +| 1.6821 | 6000 | 0.0064 | - | +| 1.6961 | 6050 | 0.0031 | - | +| 1.7101 | 6100 | 0.0023 | - | +| 1.7241 | 6150 | 0.002 | - | +| 1.7382 | 6200 | 0.0041 | - | +| 1.7522 | 6250 | 0.0033 | - | +| 1.7662 | 6300 | 0.0043 | - | +| 1.7802 | 6350 | 0.0023 | - | +| 1.7942 | 6400 | 0.0036 | - | +| 1.8082 | 6450 | 0.0024 | - | +| 1.8223 | 6500 | 0.0016 | - | +| 1.8363 | 6550 | 0.003 | - | +| 1.8503 | 6600 | 0.0043 | - | +| 1.8643 | 6650 | 0.0043 | - | +| 1.8783 | 6700 | 0.0017 | - | +| 1.8923 | 6750 | 0.0018 | - | +| 1.9064 | 6800 | 0.0029 | - | +| 1.9204 | 6850 | 0.0026 | - | +| 1.9344 | 6900 | 0.0039 | - | +| 1.9484 | 6950 | 0.0019 | - | +| 1.9624 | 7000 | 0.0041 | - | +| 1.9765 | 7050 | 0.0019 | - | +| 1.9905 | 7100 | 0.0023 | - | +| 2.0 | 7134 | - | 0.1286 | +| 2.0045 | 7150 | 0.0016 | - | +| 2.0185 | 7200 | 0.0017 | - | +| 2.0325 | 7250 | 0.0016 | - | +| 2.0465 | 7300 | 0.0019 | - | +| 2.0606 | 7350 | 0.0015 | - | +| 2.0746 | 7400 | 0.0016 | - | +| 2.0886 | 7450 | 0.0015 | - | +| 2.1026 | 7500 | 0.0015 | - | +| 2.1166 | 7550 | 0.0034 | - | +| 2.1306 | 7600 | 0.0043 | - | +| 2.1447 | 7650 | 0.0016 | - | +| 2.1587 | 7700 | 0.0016 | - | +| 2.1727 | 7750 | 0.0015 | - | +| 2.1867 | 7800 | 0.0015 | - | +| 2.2007 | 7850 | 0.0017 | - | +| 2.2147 | 7900 | 0.0013 | - | +| 2.2288 | 7950 | 0.0016 | - | +| 2.2428 | 8000 | 0.0013 | - | +| 2.2568 | 8050 | 0.0039 | - | +| 2.2708 | 8100 | 0.0053 | - | +| 2.2848 | 8150 | 0.0025 | - | +| 2.2989 | 8200 | 0.0015 | - | +| 2.3129 | 8250 | 0.0012 | - | +| 2.3269 | 8300 | 0.006 | - | +| 2.3409 | 8350 | 0.0014 | - | +| 2.3549 | 8400 | 0.0014 | - | +| 2.3689 | 8450 | 0.0028 | - | +| 2.3830 | 8500 | 0.0015 | - | +| 2.3970 | 8550 | 0.0019 | - | +| 2.4110 | 8600 | 0.0017 | - | +| 2.4250 | 8650 | 0.002 | - | +| 2.4390 | 8700 | 0.0016 | - | +| 2.4530 | 8750 | 0.0014 | - | +| 2.4671 | 8800 | 0.0021 | - | +| 2.4811 | 8850 | 0.0012 | - | +| 2.4951 | 8900 | 0.0015 | - | +| 2.5091 | 8950 | 0.0012 | - | +| 2.5231 | 9000 | 0.0012 | - | +| 2.5371 | 9050 | 0.0016 | - | +| 2.5512 | 9100 | 0.0016 | - | +| 2.5652 | 9150 | 0.0013 | - | +| 2.5792 | 9200 | 0.0028 | - | +| 2.5932 | 9250 | 0.0013 | - | +| 2.6072 | 9300 | 0.0011 | - | +| 2.6213 | 9350 | 0.0035 | - | +| 2.6353 | 9400 | 0.0013 | - | +| 2.6493 | 9450 | 0.0012 | - | +| 2.6633 | 9500 | 0.0037 | - | +| 2.6773 | 9550 | 0.0012 | - | +| 2.6913 | 9600 | 0.0011 | - | +| 2.7054 | 9650 | 0.0037 | - | +| 2.7194 | 9700 | 0.0012 | - | +| 2.7334 | 9750 | 0.0013 | - | +| 2.7474 | 9800 | 0.0013 | - | +| 2.7614 | 9850 | 0.001 | - | +| 2.7754 | 9900 | 0.0011 | - | +| 2.7895 | 9950 | 0.0012 | - | +| 2.8035 | 10000 | 0.0012 | - | +| 2.8175 | 10050 | 0.001 | - | +| 2.8315 | 10100 | 0.001 | - | +| 2.8455 | 10150 | 0.0011 | - | +| 2.8595 | 10200 | 0.0009 | - | +| 2.8736 | 10250 | 0.0018 | - | +| 2.8876 | 10300 | 0.0013 | - | +| 2.9016 | 10350 | 0.0009 | - | +| 2.9156 | 10400 | 0.0033 | - | +| 2.9296 | 10450 | 0.0034 | - | +| 2.9437 | 10500 | 0.0011 | - | +| 2.9577 | 10550 | 0.0013 | - | +| 2.9717 | 10600 | 0.0009 | - | +| 2.9857 | 10650 | 0.0009 | - | +| 2.9997 | 10700 | 0.0011 | - | +| 3.0 | 10701 | - | 0.1205 | +| 3.0137 | 10750 | 0.0009 | - | +| 3.0278 | 10800 | 0.0009 | - | +| 3.0418 | 10850 | 0.0032 | - | +| 3.0558 | 10900 | 0.0008 | - | +| 3.0698 | 10950 | 0.0013 | - | +| 3.0838 | 11000 | 0.0033 | - | +| 3.0978 | 11050 | 0.0011 | - | +| 3.1119 | 11100 | 0.0008 | - | +| 3.1259 | 11150 | 0.0009 | - | +| 3.1399 | 11200 | 0.0008 | - | +| 3.1539 | 11250 | 0.0033 | - | +| 3.1679 | 11300 | 0.0032 | - | +| 3.1819 | 11350 | 0.0008 | - | +| 3.1960 | 11400 | 0.0008 | - | +| 3.2100 | 11450 | 0.001 | - | +| 3.2240 | 11500 | 0.0009 | - | +| 3.2380 | 11550 | 0.0008 | - | +| 3.2520 | 11600 | 0.0008 | - | +| 3.2660 | 11650 | 0.0008 | - | +| 3.2801 | 11700 | 0.0009 | - | +| 3.2941 | 11750 | 0.0008 | - | +| 3.3081 | 11800 | 0.0007 | - | +| 3.3221 | 11850 | 0.0008 | - | +| 3.3361 | 11900 | 0.0008 | - | +| 3.3502 | 11950 | 0.0009 | - | +| 3.3642 | 12000 | 0.0008 | - | +| 3.3782 | 12050 | 0.0007 | - | +| 3.3922 | 12100 | 0.0009 | - | +| 3.4062 | 12150 | 0.0008 | - | +| 3.4202 | 12200 | 0.0008 | - | +| 3.4343 | 12250 | 0.0009 | - | +| 3.4483 | 12300 | 0.0008 | - | +| 3.4623 | 12350 | 0.0008 | - | +| 3.4763 | 12400 | 0.0008 | - | +| 3.4903 | 12450 | 0.0009 | - | +| 3.5043 | 12500 | 0.0007 | - | +| 3.5184 | 12550 | 0.0008 | - | +| 3.5324 | 12600 | 0.0009 | - | +| 3.5464 | 12650 | 0.0031 | - | +| 3.5604 | 12700 | 0.0009 | - | +| 3.5744 | 12750 | 0.0008 | - | +| 3.5884 | 12800 | 0.0007 | - | +| 3.6025 | 12850 | 0.0007 | - | +| 3.6165 | 12900 | 0.0007 | - | +| 3.6305 | 12950 | 0.0008 | - | +| 3.6445 | 13000 | 0.0007 | - | +| 3.6585 | 13050 | 0.0008 | - | +| 3.6726 | 13100 | 0.0007 | - | +| 3.6866 | 13150 | 0.0007 | - | +| 3.7006 | 13200 | 0.0008 | - | +| 3.7146 | 13250 | 0.0007 | - | +| 3.7286 | 13300 | 0.0031 | - | +| 3.7426 | 13350 | 0.0006 | - | +| 3.7567 | 13400 | 0.0008 | - | +| 3.7707 | 13450 | 0.0007 | - | +| 3.7847 | 13500 | 0.0006 | - | +| 3.7987 | 13550 | 0.0007 | - | +| 3.8127 | 13600 | 0.0008 | - | +| 3.8267 | 13650 | 0.0007 | - | +| 3.8408 | 13700 | 0.0008 | - | +| 3.8548 | 13750 | 0.0007 | - | +| 3.8688 | 13800 | 0.0007 | - | +| 3.8828 | 13850 | 0.0007 | - | +| 3.8968 | 13900 | 0.0007 | - | +| 3.9108 | 13950 | 0.0007 | - | +| 3.9249 | 14000 | 0.0031 | - | +| 3.9389 | 14050 | 0.003 | - | +| 3.9529 | 14100 | 0.0007 | - | +| 3.9669 | 14150 | 0.0007 | - | +| 3.9809 | 14200 | 0.0007 | - | +| 3.9950 | 14250 | 0.0007 | - | +| 4.0 | 14268 | - | 0.1155 | ### Framework Versions -- Python: 3.12.6 +- Python: 3.11.10 - SetFit: 1.1.0 -- Sentence Transformers: 3.1.1 +- Sentence Transformers: 3.2.0 - Transformers: 4.45.2 -- PyTorch: 2.4.1 +- PyTorch: 2.4.1+cu124 - Datasets: 3.0.1 -- Tokenizers: 0.20.0 +- Tokenizers: 0.20.1 ## Citation