--- library_name: setfit tags: - setfit - sentence-transformers - text-classification - generated_from_setfit_trainer metrics: - accuracy widget: - text: σολομος pancake καπνιστο σολομος κρεμα ανθοτυρο μυρωδικα - text: cheese ball burger μπιφτεκι μοσχαρισιο cheddar cheese πικλες ketchup - text: σοκολατα βιεννεζικη - text: ρυζι αρωματικο - text: σπιτικος χυμος πρασινο μηλο ροδι pipeline_tag: text-classification inference: false base_model: lighteternal/stsb-xlm-r-greek-transfer model-index: - name: SetFit with lighteternal/stsb-xlm-r-greek-transfer results: - task: type: text-classification name: Text Classification dataset: name: Unknown type: unknown split: test metrics: - type: accuracy value: 0.15195369030390737 name: Accuracy --- # SetFit with lighteternal/stsb-xlm-r-greek-transfer This is a [SetFit](https://github.com/huggingface/setfit) model that can be used for Text Classification. This SetFit model uses [lighteternal/stsb-xlm-r-greek-transfer](https://huggingface.co/lighteternal/stsb-xlm-r-greek-transfer) as the Sentence Transformer embedding model. A MultiOutputClassifier 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:** [lighteternal/stsb-xlm-r-greek-transfer](https://huggingface.co/lighteternal/stsb-xlm-r-greek-transfer) - **Classification head:** a MultiOutputClassifier instance - **Maximum Sequence Length:** 400 tokens ### Model Sources - **Repository:** [SetFit on GitHub](https://github.com/huggingface/setfit) - **Paper:** [Efficient Few-Shot Learning Without Prompts](https://arxiv.org/abs/2209.11055) - **Blogpost:** [SetFit: Efficient Few-Shot Learning Without Prompts](https://huggingface.co/blog/setfit) ## Evaluation ### Metrics | Label | Accuracy | |:--------|:---------| | **all** | 0.1520 | ## 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("st-karlos-efood/setfit-multilabel-multioutput-batchsize-128") # Run inference preds = model("ρυζι αρωματικο") ``` ## Training Details ### Training Set Metrics | Training set | Min | Median | Max | |:-------------|:----|:-------|:----| | Word count | 1 | 8.6201 | 116 | ### Training Hyperparameters - batch_size: (32, 32) - num_epochs: (10, 10) - max_steps: -1 - sampling_strategy: oversampling - num_iterations: 25 - 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 | 0.2104 | - | | 0.0096 | 50 | 0.1979 | - | | 0.0191 | 100 | 0.1902 | - | | 0.0287 | 150 | 0.2136 | - | | 0.0382 | 200 | 0.1932 | - | | 0.0478 | 250 | 0.2207 | - | | 0.0574 | 300 | 0.246 | - | | 0.0669 | 350 | 0.2228 | - | | 0.0765 | 400 | 0.192 | - | | 0.0861 | 450 | 0.2274 | - | | 0.0956 | 500 | 0.2315 | - | | 0.1052 | 550 | 0.2072 | - | | 0.1147 | 600 | 0.1461 | - | | 0.1243 | 650 | 0.1013 | - | | 0.1339 | 700 | 0.1796 | - | | 0.1434 | 750 | 0.1801 | - | | 0.1530 | 800 | 0.1395 | - | | 0.1626 | 850 | 0.0999 | - | | 0.1721 | 900 | 0.1589 | - | | 0.1817 | 950 | 0.1486 | - | | 0.1912 | 1000 | 0.1214 | - | | 0.2008 | 1050 | 0.0995 | - | | 0.2104 | 1100 | 0.1034 | - | | 0.2199 | 1150 | 0.1347 | - | | 0.2295 | 1200 | 0.1171 | - | | 0.2391 | 1250 | 0.1026 | - | | 0.2486 | 1300 | 0.1543 | - | | 0.2582 | 1350 | 0.1095 | - | | 0.2677 | 1400 | 0.1475 | - | | 0.2773 | 1450 | 0.1198 | - | | 0.2869 | 1500 | 0.1325 | - | | 0.2964 | 1550 | 0.0955 | - | | 0.3060 | 1600 | 0.1637 | - | | 0.3155 | 1650 | 0.1619 | - | | 0.3251 | 1700 | 0.0789 | - | | 0.3347 | 1750 | 0.1061 | - | | 0.3442 | 1800 | 0.1224 | - | | 0.3538 | 1850 | 0.135 | - | | 0.3634 | 1900 | 0.0971 | - | | 0.3729 | 1950 | 0.1111 | - | | 0.3825 | 2000 | 0.1166 | - | | 0.3920 | 2050 | 0.1304 | - | | 0.4016 | 2100 | 0.0551 | - | | 0.4112 | 2150 | 0.0921 | - | | 0.4207 | 2200 | 0.1248 | - | | 0.4303 | 2250 | 0.0814 | - | | 0.4399 | 2300 | 0.1525 | - | | 0.4494 | 2350 | 0.0743 | - | | 0.4590 | 2400 | 0.0894 | - | | 0.4685 | 2450 | 0.1213 | - | | 0.4781 | 2500 | 0.1068 | - | | 0.4877 | 2550 | 0.0573 | - | | 0.4972 | 2600 | 0.1233 | - | | 0.5068 | 2650 | 0.0995 | - | | 0.5164 | 2700 | 0.0659 | - | | 0.5259 | 2750 | 0.1107 | - | | 0.5355 | 2800 | 0.0934 | - | | 0.5450 | 2850 | 0.068 | - | | 0.5546 | 2900 | 0.077 | - | | 0.5642 | 2950 | 0.0836 | - | | 0.5737 | 3000 | 0.1709 | - | | 0.5833 | 3050 | 0.0766 | - | | 0.5928 | 3100 | 0.1081 | - | | 0.6024 | 3150 | 0.1099 | - | | 0.6120 | 3200 | 0.1611 | - | | 0.6215 | 3250 | 0.0974 | - | | 0.6311 | 3300 | 0.0832 | - | | 0.6407 | 3350 | 0.0468 | - | | 0.6502 | 3400 | 0.0544 | - | | 0.6598 | 3450 | 0.0942 | - | | 0.6693 | 3500 | 0.0709 | - | | 0.6789 | 3550 | 0.1163 | - | | 0.6885 | 3600 | 0.1985 | - | | 0.6980 | 3650 | 0.13 | - | | 0.7076 | 3700 | 0.1039 | - | | 0.7172 | 3750 | 0.0982 | - | | 0.7267 | 3800 | 0.1149 | - | | 0.7363 | 3850 | 0.0983 | - | | 0.7458 | 3900 | 0.1207 | - | | 0.7554 | 3950 | 0.1003 | - | | 0.7650 | 4000 | 0.0429 | - | | 0.7745 | 4050 | 0.0658 | - | | 0.7841 | 4100 | 0.0744 | - | | 0.7937 | 4150 | 0.1364 | - | | 0.8032 | 4200 | 0.0325 | - | | 0.8128 | 4250 | 0.0932 | - | | 0.8223 | 4300 | 0.0893 | - | | 0.8319 | 4350 | 0.1125 | - | | 0.8415 | 4400 | 0.1255 | - | | 0.8510 | 4450 | 0.0719 | - | | 0.8606 | 4500 | 0.0948 | - | | 0.8701 | 4550 | 0.1067 | - | | 0.8797 | 4600 | 0.0861 | - | | 0.8893 | 4650 | 0.1066 | - | | 0.8988 | 4700 | 0.0537 | - | | 0.9084 | 4750 | 0.0919 | - | | 0.9180 | 4800 | 0.1008 | - | | 0.9275 | 4850 | 0.0764 | - | | 0.9371 | 4900 | 0.0878 | - | | 0.9466 | 4950 | 0.1557 | - | | 0.9562 | 5000 | 0.1242 | - | | 0.9658 | 5050 | 0.056 | - | | 0.9753 | 5100 | 0.0822 | - | | 0.9849 | 5150 | 0.0754 | - | | 0.9945 | 5200 | 0.1363 | - | | 1.0040 | 5250 | 0.1326 | - | | 1.0136 | 5300 | 0.1421 | - | | 1.0231 | 5350 | 0.1312 | - | | 1.0327 | 5400 | 0.0447 | - | | 1.0423 | 5450 | 0.1062 | - | | 1.0518 | 5500 | 0.1063 | - | | 1.0614 | 5550 | 0.0983 | - | | 1.0710 | 5600 | 0.143 | - | | 1.0805 | 5650 | 0.0454 | - | | 1.0901 | 5700 | 0.0949 | - | | 1.0996 | 5750 | 0.1111 | - | | 1.1092 | 5800 | 0.0591 | - | | 1.1188 | 5850 | 0.0973 | - | | 1.1283 | 5900 | 0.0814 | - | | 1.1379 | 5950 | 0.0729 | - | | 1.1474 | 6000 | 0.0812 | - | | 1.1570 | 6050 | 0.1238 | - | | 1.1666 | 6100 | 0.1062 | - | | 1.1761 | 6150 | 0.1136 | - | | 1.1857 | 6200 | 0.1197 | - | | 1.1953 | 6250 | 0.0722 | - | | 1.2048 | 6300 | 0.0823 | - | | 1.2144 | 6350 | 0.1198 | - | | 1.2239 | 6400 | 0.1312 | - | | 1.2335 | 6450 | 0.1114 | - | | 1.2431 | 6500 | 0.0502 | - | | 1.2526 | 6550 | 0.1183 | - | | 1.2622 | 6600 | 0.0609 | - | | 1.2718 | 6650 | 0.084 | - | | 1.2813 | 6700 | 0.1239 | - | | 1.2909 | 6750 | 0.07 | - | | 1.3004 | 6800 | 0.0464 | - | | 1.3100 | 6850 | 0.0907 | - | | 1.3196 | 6900 | 0.0645 | - | | 1.3291 | 6950 | 0.0816 | - | | 1.3387 | 7000 | 0.0636 | - | | 1.3483 | 7050 | 0.091 | - | | 1.3578 | 7100 | 0.1056 | - | | 1.3674 | 7150 | 0.0829 | - | | 1.3769 | 7200 | 0.0848 | - | | 1.3865 | 7250 | 0.0748 | - | | 1.3961 | 7300 | 0.1255 | - | | 1.4056 | 7350 | 0.0795 | - | | 1.4152 | 7400 | 0.0583 | - | | 1.4247 | 7450 | 0.0452 | - | | 1.4343 | 7500 | 0.0596 | - | | 1.4439 | 7550 | 0.0854 | - | | 1.4534 | 7600 | 0.127 | - | | 1.4630 | 7650 | 0.0583 | - | | 1.4726 | 7700 | 0.0805 | - | | 1.4821 | 7750 | 0.1242 | - | | 1.4917 | 7800 | 0.0639 | - | | 1.5012 | 7850 | 0.0547 | - | | 1.5108 | 7900 | 0.0962 | - | | 1.5204 | 7950 | 0.129 | - | | 1.5299 | 8000 | 0.076 | - | | 1.5395 | 8050 | 0.1181 | - | | 1.5491 | 8100 | 0.2046 | - | | 1.5586 | 8150 | 0.0877 | - | | 1.5682 | 8200 | 0.0984 | - | | 1.5777 | 8250 | 0.1229 | - | | 1.5873 | 8300 | 0.0923 | - | | 1.5969 | 8350 | 0.0866 | - | | 1.6064 | 8400 | 0.0763 | - | | 1.6160 | 8450 | 0.0725 | - | | 1.6255 | 8500 | 0.0758 | - | | 1.6351 | 8550 | 0.0946 | - | | 1.6447 | 8600 | 0.1278 | - | | 1.6542 | 8650 | 0.0944 | - | | 1.6638 | 8700 | 0.0546 | - | | 1.6734 | 8750 | 0.0659 | - | | 1.6829 | 8800 | 0.0558 | - | | 1.6925 | 8850 | 0.09 | - | | 1.7020 | 8900 | 0.0853 | - | | 1.7116 | 8950 | 0.1042 | - | | 1.7212 | 9000 | 0.0708 | - | | 1.7307 | 9050 | 0.093 | - | | 1.7403 | 9100 | 0.0688 | - | | 1.7499 | 9150 | 0.0933 | - | | 1.7594 | 9200 | 0.0564 | - | | 1.7690 | 9250 | 0.0877 | - | | 1.7785 | 9300 | 0.1199 | - | | 1.7881 | 9350 | 0.0805 | - | | 1.7977 | 9400 | 0.0825 | - | | 1.8072 | 9450 | 0.0904 | - | | 1.8168 | 9500 | 0.0504 | - | | 1.8264 | 9550 | 0.0942 | - | | 1.8359 | 9600 | 0.1052 | - | | 1.8455 | 9650 | 0.0874 | - | | 1.8550 | 9700 | 0.0545 | - | | 1.8646 | 9750 | 0.0578 | - | | 1.8742 | 9800 | 0.1332 | - | | 1.8837 | 9850 | 0.0665 | - | | 1.8933 | 9900 | 0.0836 | - | | 1.9028 | 9950 | 0.1265 | - | | 1.9124 | 10000 | 0.0638 | - | | 1.9220 | 10050 | 0.0509 | - | | 1.9315 | 10100 | 0.0529 | - | | 1.9411 | 10150 | 0.1202 | - | | 1.9507 | 10200 | 0.0429 | - | | 1.9602 | 10250 | 0.0844 | - | | 1.9698 | 10300 | 0.0661 | - | | 1.9793 | 10350 | 0.1092 | - | | 1.9889 | 10400 | 0.1145 | - | | 1.9985 | 10450 | 0.1008 | - | | 2.0080 | 10500 | 0.0904 | - | | 2.0176 | 10550 | 0.0575 | - | | 2.0272 | 10600 | 0.0935 | - | | 2.0367 | 10650 | 0.1093 | - | | 2.0463 | 10700 | 0.1278 | - | | 2.0558 | 10750 | 0.0902 | - | | 2.0654 | 10800 | 0.1177 | - | | 2.0750 | 10850 | 0.0695 | - | | 2.0845 | 10900 | 0.1359 | - | | 2.0941 | 10950 | 0.0595 | - | | 2.1037 | 11000 | 0.0642 | - | | 2.1132 | 11050 | 0.0684 | - | | 2.1228 | 11100 | 0.0885 | - | | 2.1323 | 11150 | 0.0776 | - | | 2.1419 | 11200 | 0.1556 | - | | 2.1515 | 11250 | 0.1499 | - | | 2.1610 | 11300 | 0.0447 | - | | 2.1706 | 11350 | 0.052 | - | | 2.1801 | 11400 | 0.0995 | - | | 2.1897 | 11450 | 0.1073 | - | | 2.1993 | 11500 | 0.1024 | - | | 2.2088 | 11550 | 0.0701 | - | | 2.2184 | 11600 | 0.0981 | - | | 2.2280 | 11650 | 0.0333 | - | | 2.2375 | 11700 | 0.0979 | - | | 2.2471 | 11750 | 0.0425 | - | | 2.2566 | 11800 | 0.0459 | - | | 2.2662 | 11850 | 0.0658 | - | | 2.2758 | 11900 | 0.0693 | - | | 2.2853 | 11950 | 0.1074 | - | | 2.2949 | 12000 | 0.0892 | - | | 2.3045 | 12050 | 0.0711 | - | | 2.3140 | 12100 | 0.1047 | - | | 2.3236 | 12150 | 0.0824 | - | | 2.3331 | 12200 | 0.0844 | - | | 2.3427 | 12250 | 0.0645 | - | | 2.3523 | 12300 | 0.0614 | - | | 2.3618 | 12350 | 0.1184 | - | | 2.3714 | 12400 | 0.1543 | - | | 2.3810 | 12450 | 0.0531 | - | | 2.3905 | 12500 | 0.0348 | - | | 2.4001 | 12550 | 0.07 | - | | 2.4096 | 12600 | 0.0431 | - | | 2.4192 | 12650 | 0.122 | - | | 2.4288 | 12700 | 0.0611 | - | | 2.4383 | 12750 | 0.0285 | - | | 2.4479 | 12800 | 0.0886 | - | | 2.4574 | 12850 | 0.1448 | - | | 2.4670 | 12900 | 0.0648 | - | | 2.4766 | 12950 | 0.088 | - | | 2.4861 | 13000 | 0.0648 | - | | 2.4957 | 13050 | 0.0926 | - | | 2.5053 | 13100 | 0.0857 | - | | 2.5148 | 13150 | 0.1207 | - | | 2.5244 | 13200 | 0.0433 | - | | 2.5339 | 13250 | 0.1074 | - | | 2.5435 | 13300 | 0.0803 | - | | 2.5531 | 13350 | 0.0874 | - | | 2.5626 | 13400 | 0.0842 | - | | 2.5722 | 13450 | 0.0778 | - | | 2.5818 | 13500 | 0.061 | - | | 2.5913 | 13550 | 0.1163 | - | | 2.6009 | 13600 | 0.0813 | - | | 2.6104 | 13650 | 0.0944 | - | | 2.6200 | 13700 | 0.0615 | - | | 2.6296 | 13750 | 0.044 | - | | 2.6391 | 13800 | 0.1427 | - | | 2.6487 | 13850 | 0.107 | - | | 2.6583 | 13900 | 0.0589 | - | | 2.6678 | 13950 | 0.0804 | - | | 2.6774 | 14000 | 0.0377 | - | | 2.6869 | 14050 | 0.0905 | - | | 2.6965 | 14100 | 0.0711 | - | | 2.7061 | 14150 | 0.0303 | - | | 2.7156 | 14200 | 0.0488 | - | | 2.7252 | 14250 | 0.092 | - | | 2.7347 | 14300 | 0.0755 | - | | 2.7443 | 14350 | 0.1019 | - | | 2.7539 | 14400 | 0.0338 | - | | 2.7634 | 14450 | 0.0704 | - | | 2.7730 | 14500 | 0.0753 | - | | 2.7826 | 14550 | 0.0429 | - | | 2.7921 | 14600 | 0.0913 | - | | 2.8017 | 14650 | 0.0922 | - | | 2.8112 | 14700 | 0.0745 | - | | 2.8208 | 14750 | 0.0889 | - | | 2.8304 | 14800 | 0.0332 | - | | 2.8399 | 14850 | 0.078 | - | | 2.8495 | 14900 | 0.1152 | - | | 2.8591 | 14950 | 0.0747 | - | | 2.8686 | 15000 | 0.0843 | - | | 2.8782 | 15050 | 0.0547 | - | | 2.8877 | 15100 | 0.0814 | - | | 2.8973 | 15150 | 0.0229 | - | | 2.9069 | 15200 | 0.0927 | - | | 2.9164 | 15250 | 0.1004 | - | | 2.9260 | 15300 | 0.0842 | - | | 2.9356 | 15350 | 0.0913 | - | | 2.9451 | 15400 | 0.1281 | - | | 2.9547 | 15450 | 0.0781 | - | | 2.9642 | 15500 | 0.0552 | - | | 2.9738 | 15550 | 0.0858 | - | | 2.9834 | 15600 | 0.0519 | - | | 2.9929 | 15650 | 0.113 | - | | 3.0025 | 15700 | 0.0895 | - | | 3.0120 | 15750 | 0.1282 | - | | 3.0216 | 15800 | 0.0542 | - | | 3.0312 | 15850 | 0.0947 | - | | 3.0407 | 15900 | 0.092 | - | | 3.0503 | 15950 | 0.1096 | - | | 3.0599 | 16000 | 0.0806 | - | | 3.0694 | 16050 | 0.0497 | - | | 3.0790 | 16100 | 0.0657 | - | | 3.0885 | 16150 | 0.1008 | - | | 3.0981 | 16200 | 0.1075 | - | | 3.1077 | 16250 | 0.0489 | - | | 3.1172 | 16300 | 0.0634 | - | | 3.1268 | 16350 | 0.1048 | - | | 3.1364 | 16400 | 0.0539 | - | | 3.1459 | 16450 | 0.0748 | - | | 3.1555 | 16500 | 0.1209 | - | | 3.1650 | 16550 | 0.0769 | - | | 3.1746 | 16600 | 0.0704 | - | | 3.1842 | 16650 | 0.0977 | - | | 3.1937 | 16700 | 0.0716 | - | | 3.2033 | 16750 | 0.088 | - | | 3.2129 | 16800 | 0.0373 | - | | 3.2224 | 16850 | 0.0828 | - | | 3.2320 | 16900 | 0.0611 | - | | 3.2415 | 16950 | 0.0502 | - | | 3.2511 | 17000 | 0.0502 | - | | 3.2607 | 17050 | 0.0884 | - | | 3.2702 | 17100 | 0.1369 | - | | 3.2798 | 17150 | 0.0653 | - | | 3.2893 | 17200 | 0.1093 | - | | 3.2989 | 17250 | 0.0885 | - | | 3.3085 | 17300 | 0.1102 | - | | 3.3180 | 17350 | 0.0968 | - | | 3.3276 | 17400 | 0.0956 | - | | 3.3372 | 17450 | 0.0646 | - | | 3.3467 | 17500 | 0.0733 | - | | 3.3563 | 17550 | 0.0795 | - | | 3.3658 | 17600 | 0.0818 | - | | 3.3754 | 17650 | 0.1032 | - | | 3.3850 | 17700 | 0.0875 | - | | 3.3945 | 17750 | 0.0637 | - | | 3.4041 | 17800 | 0.0729 | - | | 3.4137 | 17850 | 0.0801 | - | | 3.4232 | 17900 | 0.0629 | - | | 3.4328 | 17950 | 0.1088 | - | | 3.4423 | 18000 | 0.0902 | - | | 3.4519 | 18050 | 0.0831 | - | | 3.4615 | 18100 | 0.0727 | - | | 3.4710 | 18150 | 0.0711 | - | | 3.4806 | 18200 | 0.0809 | - | | 3.4902 | 18250 | 0.06 | - | | 3.4997 | 18300 | 0.1465 | - | | 3.5093 | 18350 | 0.1248 | - | | 3.5188 | 18400 | 0.1084 | - | | 3.5284 | 18450 | 0.0504 | - | | 3.5380 | 18500 | 0.0594 | - | | 3.5475 | 18550 | 0.1093 | - | | 3.5571 | 18600 | 0.1278 | - | | 3.5666 | 18650 | 0.0404 | - | | 3.5762 | 18700 | 0.1076 | - | | 3.5858 | 18750 | 0.0559 | - | | 3.5953 | 18800 | 0.092 | - | | 3.6049 | 18850 | 0.0781 | - | | 3.6145 | 18900 | 0.1031 | - | | 3.6240 | 18950 | 0.1164 | - | | 3.6336 | 19000 | 0.0862 | - | | 3.6431 | 19050 | 0.059 | - | | 3.6527 | 19100 | 0.079 | - | | 3.6623 | 19150 | 0.11 | - | | 3.6718 | 19200 | 0.0838 | - | | 3.6814 | 19250 | 0.0677 | - | | 3.6910 | 19300 | 0.0698 | - | | 3.7005 | 19350 | 0.0843 | - | | 3.7101 | 19400 | 0.1381 | - | | 3.7196 | 19450 | 0.0818 | - | | 3.7292 | 19500 | 0.0793 | - | | 3.7388 | 19550 | 0.0482 | - | | 3.7483 | 19600 | 0.0597 | - | | 3.7579 | 19650 | 0.0465 | - | | 3.7675 | 19700 | 0.0935 | - | | 3.7770 | 19750 | 0.0475 | - | | 3.7866 | 19800 | 0.1074 | - | | 3.7961 | 19850 | 0.1125 | - | | 3.8057 | 19900 | 0.0626 | - | | 3.8153 | 19950 | 0.0556 | - | | 3.8248 | 20000 | 0.1146 | - | | 3.8344 | 20050 | 0.0485 | - | | 3.8439 | 20100 | 0.0699 | - | | 3.8535 | 20150 | 0.0927 | - | | 3.8631 | 20200 | 0.1519 | - | | 3.8726 | 20250 | 0.0392 | - | | 3.8822 | 20300 | 0.0844 | - | | 3.8918 | 20350 | 0.0939 | - | | 3.9013 | 20400 | 0.0895 | - | | 3.9109 | 20450 | 0.0639 | - | | 3.9204 | 20500 | 0.0746 | - | | 3.9300 | 20550 | 0.0665 | - | | 3.9396 | 20600 | 0.106 | - | | 3.9491 | 20650 | 0.1099 | - | | 3.9587 | 20700 | 0.0626 | - | | 3.9683 | 20750 | 0.0682 | - | | 3.9778 | 20800 | 0.127 | - | | 3.9874 | 20850 | 0.0505 | - | | 3.9969 | 20900 | 0.0772 | - | | 4.0065 | 20950 | 0.08 | - | | 4.0161 | 21000 | 0.0923 | - | | 4.0256 | 21050 | 0.0707 | - | | 4.0352 | 21100 | 0.0808 | - | | 4.0448 | 21150 | 0.0536 | - | | 4.0543 | 21200 | 0.0708 | - | | 4.0639 | 21250 | 0.1171 | - | | 4.0734 | 21300 | 0.0716 | - | | 4.0830 | 21350 | 0.0779 | - | | 4.0926 | 21400 | 0.1114 | - | | 4.1021 | 21450 | 0.151 | - | | 4.1117 | 21500 | 0.0897 | - | | 4.1212 | 21550 | 0.1266 | - | | 4.1308 | 21600 | 0.0534 | - | | 4.1404 | 21650 | 0.0454 | - | | 4.1499 | 21700 | 0.0724 | - | | 4.1595 | 21750 | 0.0466 | - | | 4.1691 | 21800 | 0.0845 | - | | 4.1786 | 21850 | 0.1084 | - | | 4.1882 | 21900 | 0.0701 | - | | 4.1977 | 21950 | 0.0643 | - | | 4.2073 | 22000 | 0.0389 | - | | 4.2169 | 22050 | 0.1027 | - | | 4.2264 | 22100 | 0.08 | - | | 4.2360 | 22150 | 0.0946 | - | | 4.2456 | 22200 | 0.1051 | - | | 4.2551 | 22250 | 0.0862 | - | | 4.2647 | 22300 | 0.0572 | - | | 4.2742 | 22350 | 0.0736 | - | | 4.2838 | 22400 | 0.1098 | - | | 4.2934 | 22450 | 0.0869 | - | | 4.3029 | 22500 | 0.0813 | - | | 4.3125 | 22550 | 0.0922 | - | | 4.3221 | 22600 | 0.0957 | - | | 4.3316 | 22650 | 0.0498 | - | | 4.3412 | 22700 | 0.0714 | - | | 4.3507 | 22750 | 0.0686 | - | | 4.3603 | 22800 | 0.0292 | - | | 4.3699 | 22850 | 0.1188 | - | | 4.3794 | 22900 | 0.0339 | - | | 4.3890 | 22950 | 0.0651 | - | | 4.3985 | 23000 | 0.105 | - | | 4.4081 | 23050 | 0.0619 | - | | 4.4177 | 23100 | 0.0898 | - | | 4.4272 | 23150 | 0.0432 | - | | 4.4368 | 23200 | 0.1005 | - | | 4.4464 | 23250 | 0.1181 | - | | 4.4559 | 23300 | 0.0453 | - | | 4.4655 | 23350 | 0.091 | - | | 4.4750 | 23400 | 0.0486 | - | | 4.4846 | 23450 | 0.0742 | - | | 4.4942 | 23500 | 0.0541 | - | | 4.5037 | 23550 | 0.0619 | - | | 4.5133 | 23600 | 0.0893 | - | | 4.5229 | 23650 | 0.1241 | - | | 4.5324 | 23700 | 0.093 | - | | 4.5420 | 23750 | 0.0864 | - | | 4.5515 | 23800 | 0.0516 | - | | 4.5611 | 23850 | 0.0874 | - | | 4.5707 | 23900 | 0.0804 | - | | 4.5802 | 23950 | 0.0728 | - | | 4.5898 | 24000 | 0.0719 | - | | 4.5993 | 24050 | 0.0584 | - | | 4.6089 | 24100 | 0.0617 | - | | 4.6185 | 24150 | 0.1071 | - | | 4.6280 | 24200 | 0.0658 | - | | 4.6376 | 24250 | 0.0439 | - | | 4.6472 | 24300 | 0.098 | - | | 4.6567 | 24350 | 0.1485 | - | | 4.6663 | 24400 | 0.1198 | - | | 4.6758 | 24450 | 0.1392 | - | | 4.6854 | 24500 | 0.0829 | - | | 4.6950 | 24550 | 0.0814 | - | | 4.7045 | 24600 | 0.055 | - | | 4.7141 | 24650 | 0.1045 | - | | 4.7237 | 24700 | 0.0523 | - | | 4.7332 | 24750 | 0.1202 | - | | 4.7428 | 24800 | 0.0814 | - | | 4.7523 | 24850 | 0.1224 | - | | 4.7619 | 24900 | 0.0496 | - | | 4.7715 | 24950 | 0.0659 | - | | 4.7810 | 25000 | 0.0763 | - | | 4.7906 | 25050 | 0.0639 | - | | 4.8002 | 25100 | 0.0493 | - | | 4.8097 | 25150 | 0.0723 | - | | 4.8193 | 25200 | 0.1155 | - | | 4.8288 | 25250 | 0.0522 | - | | 4.8384 | 25300 | 0.0732 | - | | 4.8480 | 25350 | 0.0477 | - | | 4.8575 | 25400 | 0.0836 | - | | 4.8671 | 25450 | 0.091 | - | | 4.8766 | 25500 | 0.0625 | - | | 4.8862 | 25550 | 0.0853 | - | | 4.8958 | 25600 | 0.1145 | - | | 4.9053 | 25650 | 0.08 | - | | 4.9149 | 25700 | 0.1172 | - | | 4.9245 | 25750 | 0.0475 | - | | 4.9340 | 25800 | 0.1089 | - | | 4.9436 | 25850 | 0.0955 | - | | 4.9531 | 25900 | 0.0351 | - | | 4.9627 | 25950 | 0.0804 | - | | 4.9723 | 26000 | 0.0783 | - | | 4.9818 | 26050 | 0.0868 | - | | 4.9914 | 26100 | 0.0653 | - | | 5.0010 | 26150 | 0.0568 | - | | 5.0105 | 26200 | 0.0286 | - | | 5.0201 | 26250 | 0.0626 | - | | 5.0296 | 26300 | 0.0424 | - | | 5.0392 | 26350 | 0.0575 | - | | 5.0488 | 26400 | 0.0654 | - | | 5.0583 | 26450 | 0.1176 | - | | 5.0679 | 26500 | 0.0918 | - | | 5.0775 | 26550 | 0.1348 | - | | 5.0870 | 26600 | 0.0897 | - | | 5.0966 | 26650 | 0.0772 | - | | 5.1061 | 26700 | 0.0896 | - | | 5.1157 | 26750 | 0.0416 | - | | 5.1253 | 26800 | 0.0738 | - | | 5.1348 | 26850 | 0.0539 | - | | 5.1444 | 26900 | 0.0503 | - | | 5.1539 | 26950 | 0.092 | - | | 5.1635 | 27000 | 0.0724 | - | | 5.1731 | 27050 | 0.074 | - | | 5.1826 | 27100 | 0.0473 | - | | 5.1922 | 27150 | 0.0731 | - | | 5.2018 | 27200 | 0.0701 | - | | 5.2113 | 27250 | 0.0503 | - | | 5.2209 | 27300 | 0.0787 | - | | 5.2304 | 27350 | 0.0583 | - | | 5.2400 | 27400 | 0.0678 | - | | 5.2496 | 27450 | 0.068 | - | | 5.2591 | 27500 | 0.0673 | - | | 5.2687 | 27550 | 0.0714 | - | | 5.2783 | 27600 | 0.0777 | - | | 5.2878 | 27650 | 0.1242 | - | | 5.2974 | 27700 | 0.0608 | - | | 5.3069 | 27750 | 0.0695 | - | | 5.3165 | 27800 | 0.103 | - | | 5.3261 | 27850 | 0.063 | - | | 5.3356 | 27900 | 0.0603 | - | | 5.3452 | 27950 | 0.0834 | - | | 5.3548 | 28000 | 0.0525 | - | | 5.3643 | 28050 | 0.0873 | - | | 5.3739 | 28100 | 0.0727 | - | | 5.3834 | 28150 | 0.0659 | - | | 5.3930 | 28200 | 0.0483 | - | | 5.4026 | 28250 | 0.0526 | - | | 5.4121 | 28300 | 0.0592 | - | | 5.4217 | 28350 | 0.0669 | - | | 5.4312 | 28400 | 0.0804 | - | | 5.4408 | 28450 | 0.0986 | - | | 5.4504 | 28500 | 0.0703 | - | | 5.4599 | 28550 | 0.0932 | - | | 5.4695 | 28600 | 0.0593 | - | | 5.4791 | 28650 | 0.0956 | - | | 5.4886 | 28700 | 0.0449 | - | | 5.4982 | 28750 | 0.0717 | - | | 5.5077 | 28800 | 0.0738 | - | | 5.5173 | 28850 | 0.0519 | - | | 5.5269 | 28900 | 0.052 | - | | 5.5364 | 28950 | 0.076 | - | | 5.5460 | 29000 | 0.0632 | - | | 5.5556 | 29050 | 0.0919 | - | | 5.5651 | 29100 | 0.1313 | - | | 5.5747 | 29150 | 0.0795 | - | | 5.5842 | 29200 | 0.0777 | - | | 5.5938 | 29250 | 0.0586 | - | | 5.6034 | 29300 | 0.1553 | - | | 5.6129 | 29350 | 0.0645 | - | | 5.6225 | 29400 | 0.0502 | - | | 5.6321 | 29450 | 0.0835 | - | | 5.6416 | 29500 | 0.0615 | - | | 5.6512 | 29550 | 0.1062 | - | | 5.6607 | 29600 | 0.0891 | - | | 5.6703 | 29650 | 0.0624 | - | | 5.6799 | 29700 | 0.0939 | - | | 5.6894 | 29750 | 0.0909 | - | | 5.6990 | 29800 | 0.0635 | - | | 5.7085 | 29850 | 0.1191 | - | | 5.7181 | 29900 | 0.0899 | - | | 5.7277 | 29950 | 0.0951 | - | | 5.7372 | 30000 | 0.0711 | - | | 5.7468 | 30050 | 0.039 | - | | 5.7564 | 30100 | 0.0659 | - | | 5.7659 | 30150 | 0.0836 | - | | 5.7755 | 30200 | 0.0335 | - | | 5.7850 | 30250 | 0.0654 | - | | 5.7946 | 30300 | 0.0519 | - | | 5.8042 | 30350 | 0.0999 | - | | 5.8137 | 30400 | 0.0574 | - | | 5.8233 | 30450 | 0.0666 | - | | 5.8329 | 30500 | 0.0899 | - | | 5.8424 | 30550 | 0.0894 | - | | 5.8520 | 30600 | 0.0652 | - | | 5.8615 | 30650 | 0.0955 | - | | 5.8711 | 30700 | 0.0676 | - | | 5.8807 | 30750 | 0.098 | - | | 5.8902 | 30800 | 0.0513 | - | | 5.8998 | 30850 | 0.0862 | - | | 5.9094 | 30900 | 0.0667 | - | | 5.9189 | 30950 | 0.0701 | - | | 5.9285 | 31000 | 0.0885 | - | | 5.9380 | 31050 | 0.0919 | - | | 5.9476 | 31100 | 0.0632 | - | | 5.9572 | 31150 | 0.0508 | - | | 5.9667 | 31200 | 0.114 | - | | 5.9763 | 31250 | 0.0692 | - | | 5.9858 | 31300 | 0.1188 | - | | 5.9954 | 31350 | 0.0653 | - | | 6.0050 | 31400 | 0.086 | - | | 6.0145 | 31450 | 0.1116 | - | | 6.0241 | 31500 | 0.0724 | - | | 6.0337 | 31550 | 0.0822 | - | | 6.0432 | 31600 | 0.0442 | - | | 6.0528 | 31650 | 0.0806 | - | | 6.0623 | 31700 | 0.0872 | - | | 6.0719 | 31750 | 0.0939 | - | | 6.0815 | 31800 | 0.0981 | - | | 6.0910 | 31850 | 0.0498 | - | | 6.1006 | 31900 | 0.0283 | - | | 6.1102 | 31950 | 0.0914 | - | | 6.1197 | 32000 | 0.0934 | - | | 6.1293 | 32050 | 0.0735 | - | | 6.1388 | 32100 | 0.0474 | - | | 6.1484 | 32150 | 0.0632 | - | | 6.1580 | 32200 | 0.0682 | - | | 6.1675 | 32250 | 0.0549 | - | | 6.1771 | 32300 | 0.0545 | - | | 6.1867 | 32350 | 0.1018 | - | | 6.1962 | 32400 | 0.0421 | - | | 6.2058 | 32450 | 0.0987 | - | | 6.2153 | 32500 | 0.078 | - | | 6.2249 | 32550 | 0.0787 | - | | 6.2345 | 32600 | 0.0932 | - | | 6.2440 | 32650 | 0.0551 | - | | 6.2536 | 32700 | 0.0839 | - | | 6.2631 | 32750 | 0.0596 | - | | 6.2727 | 32800 | 0.08 | - | | 6.2823 | 32850 | 0.0614 | - | | 6.2918 | 32900 | 0.0694 | - | | 6.3014 | 32950 | 0.0787 | - | | 6.3110 | 33000 | 0.0722 | - | | 6.3205 | 33050 | 0.0828 | - | | 6.3301 | 33100 | 0.0983 | - | | 6.3396 | 33150 | 0.0622 | - | | 6.3492 | 33200 | 0.0521 | - | | 6.3588 | 33250 | 0.0845 | - | | 6.3683 | 33300 | 0.0333 | - | | 6.3779 | 33350 | 0.0682 | - | | 6.3875 | 33400 | 0.033 | - | | 6.3970 | 33450 | 0.0582 | - | | 6.4066 | 33500 | 0.0689 | - | | 6.4161 | 33550 | 0.0916 | - | | 6.4257 | 33600 | 0.0509 | - | | 6.4353 | 33650 | 0.0609 | - | | 6.4448 | 33700 | 0.0559 | - | | 6.4544 | 33750 | 0.0617 | - | | 6.4640 | 33800 | 0.0606 | - | | 6.4735 | 33850 | 0.0982 | - | | 6.4831 | 33900 | 0.1015 | - | | 6.4926 | 33950 | 0.1041 | - | | 6.5022 | 34000 | 0.0787 | - | | 6.5118 | 34050 | 0.0375 | - | | 6.5213 | 34100 | 0.0448 | - | | 6.5309 | 34150 | 0.0637 | - | | 6.5404 | 34200 | 0.0625 | - | | 6.5500 | 34250 | 0.0777 | - | | 6.5596 | 34300 | 0.0758 | - | | 6.5691 | 34350 | 0.0581 | - | | 6.5787 | 34400 | 0.1173 | - | | 6.5883 | 34450 | 0.0953 | - | | 6.5978 | 34500 | 0.1049 | - | | 6.6074 | 34550 | 0.0333 | - | | 6.6169 | 34600 | 0.0354 | - | | 6.6265 | 34650 | 0.0496 | - | | 6.6361 | 34700 | 0.0897 | - | | 6.6456 | 34750 | 0.0652 | - | | 6.6552 | 34800 | 0.0377 | - | | 6.6648 | 34850 | 0.0991 | - | | 6.6743 | 34900 | 0.1022 | - | | 6.6839 | 34950 | 0.088 | - | | 6.6934 | 35000 | 0.1219 | - | | 6.7030 | 35050 | 0.0618 | - | | 6.7126 | 35100 | 0.0616 | - | | 6.7221 | 35150 | 0.0527 | - | | 6.7317 | 35200 | 0.0378 | - | | 6.7413 | 35250 | 0.0475 | - | | 6.7508 | 35300 | 0.0735 | - | | 6.7604 | 35350 | 0.0824 | - | | 6.7699 | 35400 | 0.1056 | - | | 6.7795 | 35450 | 0.0841 | - | | 6.7891 | 35500 | 0.0525 | - | | 6.7986 | 35550 | 0.0538 | - | | 6.8082 | 35600 | 0.0956 | - | | 6.8177 | 35650 | 0.0664 | - | | 6.8273 | 35700 | 0.0636 | - | | 6.8369 | 35750 | 0.0465 | - | | 6.8464 | 35800 | 0.0656 | - | | 6.8560 | 35850 | 0.0666 | - | | 6.8656 | 35900 | 0.0778 | - | | 6.8751 | 35950 | 0.0818 | - | | 6.8847 | 36000 | 0.0739 | - | | 6.8942 | 36050 | 0.0667 | - | | 6.9038 | 36100 | 0.1416 | - | | 6.9134 | 36150 | 0.0735 | - | | 6.9229 | 36200 | 0.0637 | - | | 6.9325 | 36250 | 0.1158 | - | | 6.9421 | 36300 | 0.0887 | - | | 6.9516 | 36350 | 0.0749 | - | | 6.9612 | 36400 | 0.1186 | - | | 6.9707 | 36450 | 0.0469 | - | | 6.9803 | 36500 | 0.0539 | - | | 6.9899 | 36550 | 0.0674 | - | | 6.9994 | 36600 | 0.1158 | - | | 7.0090 | 36650 | 0.0873 | - | | 7.0186 | 36700 | 0.0665 | - | | 7.0281 | 36750 | 0.0747 | - | | 7.0377 | 36800 | 0.058 | - | | 7.0472 | 36850 | 0.0496 | - | | 7.0568 | 36900 | 0.0844 | - | | 7.0664 | 36950 | 0.0695 | - | | 7.0759 | 37000 | 0.0701 | - | | 7.0855 | 37050 | 0.0715 | - | | 7.0950 | 37100 | 0.1123 | - | | 7.1046 | 37150 | 0.1016 | - | | 7.1142 | 37200 | 0.0922 | - | | 7.1237 | 37250 | 0.0944 | - | | 7.1333 | 37300 | 0.0755 | - | | 7.1429 | 37350 | 0.0855 | - | | 7.1524 | 37400 | 0.0988 | - | | 7.1620 | 37450 | 0.0691 | - | | 7.1715 | 37500 | 0.0482 | - | | 7.1811 | 37550 | 0.109 | - | | 7.1907 | 37600 | 0.1577 | - | | 7.2002 | 37650 | 0.0892 | - | | 7.2098 | 37700 | 0.1425 | - | | 7.2194 | 37750 | 0.051 | - | | 7.2289 | 37800 | 0.0762 | - | | 7.2385 | 37850 | 0.0591 | - | | 7.2480 | 37900 | 0.0883 | - | | 7.2576 | 37950 | 0.0323 | - | | 7.2672 | 38000 | 0.0667 | - | | 7.2767 | 38050 | 0.0712 | - | | 7.2863 | 38100 | 0.087 | - | | 7.2959 | 38150 | 0.0522 | - | | 7.3054 | 38200 | 0.0476 | - | | 7.3150 | 38250 | 0.063 | - | | 7.3245 | 38300 | 0.1032 | - | | 7.3341 | 38350 | 0.0436 | - | | 7.3437 | 38400 | 0.0879 | - | | 7.3532 | 38450 | 0.0463 | - | | 7.3628 | 38500 | 0.1127 | - | | 7.3723 | 38550 | 0.0574 | - | | 7.3819 | 38600 | 0.0885 | - | | 7.3915 | 38650 | 0.0686 | - | | 7.4010 | 38700 | 0.072 | - | | 7.4106 | 38750 | 0.0669 | - | | 7.4202 | 38800 | 0.062 | - | | 7.4297 | 38850 | 0.0604 | - | | 7.4393 | 38900 | 0.0788 | - | | 7.4488 | 38950 | 0.1017 | - | | 7.4584 | 39000 | 0.0953 | - | | 7.4680 | 39050 | 0.0819 | - | | 7.4775 | 39100 | 0.0605 | - | | 7.4871 | 39150 | 0.06 | - | | 7.4967 | 39200 | 0.0698 | - | | 7.5062 | 39250 | 0.0898 | - | | 7.5158 | 39300 | 0.097 | - | | 7.5253 | 39350 | 0.046 | - | | 7.5349 | 39400 | 0.0502 | - | | 7.5445 | 39450 | 0.0848 | - | | 7.5540 | 39500 | 0.1109 | - | | 7.5636 | 39550 | 0.0738 | - | | 7.5731 | 39600 | 0.0536 | - | | 7.5827 | 39650 | 0.1094 | - | | 7.5923 | 39700 | 0.0642 | - | | 7.6018 | 39750 | 0.1052 | - | | 7.6114 | 39800 | 0.0567 | - | | 7.6210 | 39850 | 0.044 | - | | 7.6305 | 39900 | 0.076 | - | | 7.6401 | 39950 | 0.0793 | - | | 7.6496 | 40000 | 0.0804 | - | | 7.6592 | 40050 | 0.0749 | - | | 7.6688 | 40100 | 0.0417 | - | | 7.6783 | 40150 | 0.09 | - | | 7.6879 | 40200 | 0.0642 | - | | 7.6975 | 40250 | 0.07 | - | | 7.7070 | 40300 | 0.0481 | - | | 7.7166 | 40350 | 0.0661 | - | | 7.7261 | 40400 | 0.0784 | - | | 7.7357 | 40450 | 0.0612 | - | | 7.7453 | 40500 | 0.0874 | - | | 7.7548 | 40550 | 0.055 | - | | 7.7644 | 40600 | 0.0555 | - | | 7.7740 | 40650 | 0.0918 | - | | 7.7835 | 40700 | 0.0459 | - | | 7.7931 | 40750 | 0.0845 | - | | 7.8026 | 40800 | 0.1095 | - | | 7.8122 | 40850 | 0.141 | - | | 7.8218 | 40900 | 0.063 | - | | 7.8313 | 40950 | 0.0586 | - | | 7.8409 | 41000 | 0.0661 | - | | 7.8504 | 41050 | 0.0466 | - | | 7.8600 | 41100 | 0.0824 | - | | 7.8696 | 41150 | 0.0713 | - | | 7.8791 | 41200 | 0.153 | - | | 7.8887 | 41250 | 0.0917 | - | | 7.8983 | 41300 | 0.0792 | - | | 7.9078 | 41350 | 0.0689 | - | | 7.9174 | 41400 | 0.0742 | - | | 7.9269 | 41450 | 0.0252 | - | | 7.9365 | 41500 | 0.0685 | - | | 7.9461 | 41550 | 0.0572 | - | | 7.9556 | 41600 | 0.0713 | - | | 7.9652 | 41650 | 0.0996 | - | | 7.9748 | 41700 | 0.0811 | - | | 7.9843 | 41750 | 0.0981 | - | | 7.9939 | 41800 | 0.0876 | - | | 8.0034 | 41850 | 0.0868 | - | | 8.0130 | 41900 | 0.1043 | - | | 8.0226 | 41950 | 0.0741 | - | | 8.0321 | 42000 | 0.057 | - | | 8.0417 | 42050 | 0.0896 | - | | 8.0513 | 42100 | 0.031 | - | | 8.0608 | 42150 | 0.0415 | - | | 8.0704 | 42200 | 0.0855 | - | | 8.0799 | 42250 | 0.0564 | - | | 8.0895 | 42300 | 0.0576 | - | | 8.0991 | 42350 | 0.0717 | - | | 8.1086 | 42400 | 0.1009 | - | | 8.1182 | 42450 | 0.0851 | - | | 8.1277 | 42500 | 0.0542 | - | | 8.1373 | 42550 | 0.0612 | - | | 8.1469 | 42600 | 0.053 | - | | 8.1564 | 42650 | 0.0773 | - | | 8.1660 | 42700 | 0.0435 | - | | 8.1756 | 42750 | 0.094 | - | | 8.1851 | 42800 | 0.0465 | - | | 8.1947 | 42850 | 0.0524 | - | | 8.2042 | 42900 | 0.0919 | - | | 8.2138 | 42950 | 0.0889 | - | | 8.2234 | 43000 | 0.0565 | - | | 8.2329 | 43050 | 0.085 | - | | 8.2425 | 43100 | 0.0575 | - | | 8.2521 | 43150 | 0.1073 | - | | 8.2616 | 43200 | 0.0981 | - | | 8.2712 | 43250 | 0.1363 | - | | 8.2807 | 43300 | 0.0663 | - | | 8.2903 | 43350 | 0.0849 | - | | 8.2999 | 43400 | 0.0559 | - | | 8.3094 | 43450 | 0.0584 | - | | 8.3190 | 43500 | 0.0935 | - | | 8.3286 | 43550 | 0.0727 | - | | 8.3381 | 43600 | 0.1045 | - | | 8.3477 | 43650 | 0.068 | - | | 8.3572 | 43700 | 0.0708 | - | | 8.3668 | 43750 | 0.0782 | - | | 8.3764 | 43800 | 0.0819 | - | | 8.3859 | 43850 | 0.0492 | - | | 8.3955 | 43900 | 0.0751 | - | | 8.4050 | 43950 | 0.0545 | - | | 8.4146 | 44000 | 0.1116 | - | | 8.4242 | 44050 | 0.0788 | - | | 8.4337 | 44100 | 0.0556 | - | | 8.4433 | 44150 | 0.0551 | - | | 8.4529 | 44200 | 0.0367 | - | | 8.4624 | 44250 | 0.0612 | - | | 8.4720 | 44300 | 0.1028 | - | | 8.4815 | 44350 | 0.0747 | - | | 8.4911 | 44400 | 0.0523 | - | | 8.5007 | 44450 | 0.1209 | - | | 8.5102 | 44500 | 0.1103 | - | | 8.5198 | 44550 | 0.0639 | - | | 8.5294 | 44600 | 0.0834 | - | | 8.5389 | 44650 | 0.1181 | - | | 8.5485 | 44700 | 0.1078 | - | | 8.5580 | 44750 | 0.0594 | - | | 8.5676 | 44800 | 0.0596 | - | | 8.5772 | 44850 | 0.0902 | - | | 8.5867 | 44900 | 0.0898 | - | | 8.5963 | 44950 | 0.0505 | - | | 8.6059 | 45000 | 0.0741 | - | | 8.6154 | 45050 | 0.0853 | - | | 8.6250 | 45100 | 0.0464 | - | | 8.6345 | 45150 | 0.0432 | - | | 8.6441 | 45200 | 0.0986 | - | | 8.6537 | 45250 | 0.0816 | - | | 8.6632 | 45300 | 0.119 | - | | 8.6728 | 45350 | 0.0837 | - | | 8.6823 | 45400 | 0.0619 | - | | 8.6919 | 45450 | 0.0676 | - | | 8.7015 | 45500 | 0.0667 | - | | 8.7110 | 45550 | 0.1157 | - | | 8.7206 | 45600 | 0.054 | - | | 8.7302 | 45650 | 0.0834 | - | | 8.7397 | 45700 | 0.0373 | - | | 8.7493 | 45750 | 0.0975 | - | | 8.7588 | 45800 | 0.0558 | - | | 8.7684 | 45850 | 0.0595 | - | | 8.7780 | 45900 | 0.0826 | - | | 8.7875 | 45950 | 0.1136 | - | | 8.7971 | 46000 | 0.073 | - | | 8.8067 | 46050 | 0.0438 | - | | 8.8162 | 46100 | 0.1021 | - | | 8.8258 | 46150 | 0.0637 | - | | 8.8353 | 46200 | 0.1057 | - | | 8.8449 | 46250 | 0.0562 | - | | 8.8545 | 46300 | 0.0528 | - | | 8.8640 | 46350 | 0.0778 | - | | 8.8736 | 46400 | 0.0417 | - | | 8.8832 | 46450 | 0.0615 | - | | 8.8927 | 46500 | 0.0646 | - | | 8.9023 | 46550 | 0.1025 | - | | 8.9118 | 46600 | 0.0615 | - | | 8.9214 | 46650 | 0.0954 | - | | 8.9310 | 46700 | 0.0838 | - | | 8.9405 | 46750 | 0.0516 | - | | 8.9501 | 46800 | 0.0797 | - | | 8.9596 | 46850 | 0.0907 | - | | 8.9692 | 46900 | 0.0731 | - | | 8.9788 | 46950 | 0.0676 | - | | 8.9883 | 47000 | 0.0736 | - | | 8.9979 | 47050 | 0.0889 | - | | 9.0075 | 47100 | 0.042 | - | | 9.0170 | 47150 | 0.0603 | - | | 9.0266 | 47200 | 0.0467 | - | | 9.0361 | 47250 | 0.053 | - | | 9.0457 | 47300 | 0.0442 | - | | 9.0553 | 47350 | 0.1169 | - | | 9.0648 | 47400 | 0.0412 | - | | 9.0744 | 47450 | 0.0885 | - | | 9.0840 | 47500 | 0.0369 | - | | 9.0935 | 47550 | 0.0627 | - | | 9.1031 | 47600 | 0.0723 | - | | 9.1126 | 47650 | 0.0512 | - | | 9.1222 | 47700 | 0.0458 | - | | 9.1318 | 47750 | 0.0611 | - | | 9.1413 | 47800 | 0.1217 | - | | 9.1509 | 47850 | 0.0472 | - | | 9.1605 | 47900 | 0.101 | - | | 9.1700 | 47950 | 0.0838 | - | | 9.1796 | 48000 | 0.0752 | - | | 9.1891 | 48050 | 0.0699 | - | | 9.1987 | 48100 | 0.0594 | - | | 9.2083 | 48150 | 0.1246 | - | | 9.2178 | 48200 | 0.0398 | - | | 9.2274 | 48250 | 0.109 | - | | 9.2369 | 48300 | 0.1004 | - | | 9.2465 | 48350 | 0.0787 | - | | 9.2561 | 48400 | 0.0777 | - | | 9.2656 | 48450 | 0.0365 | - | | 9.2752 | 48500 | 0.0372 | - | | 9.2848 | 48550 | 0.0619 | - | | 9.2943 | 48600 | 0.1119 | - | | 9.3039 | 48650 | 0.0902 | - | | 9.3134 | 48700 | 0.0493 | - | | 9.3230 | 48750 | 0.0825 | - | | 9.3326 | 48800 | 0.0806 | - | | 9.3421 | 48850 | 0.0553 | - | | 9.3517 | 48900 | 0.0723 | - | | 9.3613 | 48950 | 0.0568 | - | | 9.3708 | 49000 | 0.0684 | - | | 9.3804 | 49050 | 0.0617 | - | | 9.3899 | 49100 | 0.0483 | - | | 9.3995 | 49150 | 0.0701 | - | | 9.4091 | 49200 | 0.1115 | - | | 9.4186 | 49250 | 0.0798 | - | | 9.4282 | 49300 | 0.0662 | - | | 9.4378 | 49350 | 0.0708 | - | | 9.4473 | 49400 | 0.0915 | - | | 9.4569 | 49450 | 0.0874 | - | | 9.4664 | 49500 | 0.0636 | - | | 9.4760 | 49550 | 0.0436 | - | | 9.4856 | 49600 | 0.0451 | - | | 9.4951 | 49650 | 0.0983 | - | | 9.5047 | 49700 | 0.0806 | - | | 9.5142 | 49750 | 0.0567 | - | | 9.5238 | 49800 | 0.0653 | - | | 9.5334 | 49850 | 0.0562 | - | | 9.5429 | 49900 | 0.0609 | - | | 9.5525 | 49950 | 0.0613 | - | | 9.5621 | 50000 | 0.0601 | - | | 9.5716 | 50050 | 0.0636 | - | | 9.5812 | 50100 | 0.0482 | - | | 9.5907 | 50150 | 0.0695 | - | | 9.6003 | 50200 | 0.077 | - | | 9.6099 | 50250 | 0.087 | - | | 9.6194 | 50300 | 0.0647 | - | | 9.6290 | 50350 | 0.0797 | - | | 9.6386 | 50400 | 0.0739 | - | | 9.6481 | 50450 | 0.0816 | - | | 9.6577 | 50500 | 0.0464 | - | | 9.6672 | 50550 | 0.0755 | - | | 9.6768 | 50600 | 0.1067 | - | | 9.6864 | 50650 | 0.0676 | - | | 9.6959 | 50700 | 0.074 | - | | 9.7055 | 50750 | 0.0939 | - | | 9.7151 | 50800 | 0.0684 | - | | 9.7246 | 50850 | 0.0919 | - | | 9.7342 | 50900 | 0.0434 | - | | 9.7437 | 50950 | 0.051 | - | | 9.7533 | 51000 | 0.0667 | - | | 9.7629 | 51050 | 0.0914 | - | | 9.7724 | 51100 | 0.0576 | - | | 9.7820 | 51150 | 0.065 | - | | 9.7915 | 51200 | 0.0615 | - | | 9.8011 | 51250 | 0.0571 | - | | 9.8107 | 51300 | 0.0796 | - | | 9.8202 | 51350 | 0.1094 | - | | 9.8298 | 51400 | 0.0435 | - | | 9.8394 | 51450 | 0.0704 | - | | 9.8489 | 51500 | 0.08 | - | | 9.8585 | 51550 | 0.0584 | - | | 9.8680 | 51600 | 0.0731 | - | | 9.8776 | 51650 | 0.0445 | - | | 9.8872 | 51700 | 0.0694 | - | | 9.8967 | 51750 | 0.0952 | - | | 9.9063 | 51800 | 0.057 | - | | 9.9159 | 51850 | 0.0448 | - | | 9.9254 | 51900 | 0.0526 | - | | 9.9350 | 51950 | 0.0898 | - | | 9.9445 | 52000 | 0.1396 | - | | 9.9541 | 52050 | 0.0859 | - | | 9.9637 | 52100 | 0.0941 | - | | 9.9732 | 52150 | 0.0283 | - | | 9.9828 | 52200 | 0.0694 | - | | 9.9924 | 52250 | 0.0935 | - | ### Framework Versions - Python: 3.10.12 - SetFit: 1.0.3 - Sentence Transformers: 2.4.0 - Transformers: 4.37.2 - PyTorch: 2.1.0+cu121 - Datasets: 2.17.1 - 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} } ```