End of training

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	---
	license: apache-2.0
	base_model: distilbert-base-uncased
	tags:
	- generated_from_trainer
	metrics:
	- precision
	- recall
	- f1
	- accuracy
	model-index:
	- name: sembr2023-distilbert-base-uncased
	results: []
	---

	<!-- This model card has been generated automatically according to the information the Trainer had access to. You
	should probably proofread and complete it, then remove this comment. -->

	# sembr2023-distilbert-base-uncased

	This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
	It achieves the following results on the evaluation set:
	- Loss: 0.2391
	- Precision: 0.8025
	- Recall: 0.8289
	- F1: 0.8155
	- Iou: 0.6885
	- Accuracy: 0.9655
	- Balanced Accuracy: 0.9041
	- Overall Accuracy: 0.9498

	## Model description

	More information needed

	## Intended uses & limitations

	More information needed

	## Training and evaluation data

	More information needed

	## Training procedure

	### Training hyperparameters

	The following hyperparameters were used during training:
	- learning_rate: 0.0001
	- train_batch_size: 64
	- eval_batch_size: 128
	- seed: 42
	- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
	- lr_scheduler_type: cosine
	- training_steps: 1000

	### Training results

	\| Training Loss \| Epoch \| Step \| Validation Loss \| Precision \| Recall \| F1 \| Iou \| Accuracy \| Balanced Accuracy \| Overall Accuracy \|
	\|:-------------:\|:-----:\|:----:\|:---------------:\|:---------:\|:------:\|:------:\|:------:\|:--------:\|:-----------------:\|:----------------:\|
	\| 0.4046 \| 0.06 \| 10 \| 0.4081 \| 0 \| 0.0 \| 0.0 \| 0.0 \| 0.9080 \| 0.5 \| 0.9080 \|
	\| 0.376 \| 0.12 \| 20 \| 0.3776 \| 0 \| 0.0 \| 0.0 \| 0.0 \| 0.9080 \| 0.5 \| 0.9080 \|
	\| 0.3291 \| 0.18 \| 30 \| 0.2954 \| 0.8417 \| 0.0813 \| 0.1482 \| 0.0801 \| 0.9141 \| 0.5399 \| 0.9134 \|
	\| 0.2309 \| 0.24 \| 40 \| 0.2165 \| 0.8158 \| 0.6008 \| 0.6920 \| 0.5290 \| 0.9508 \| 0.7935 \| 0.9357 \|
	\| 0.1704 \| 0.3 \| 50 \| 0.1928 \| 0.8703 \| 0.6428 \| 0.7394 \| 0.5866 \| 0.9583 \| 0.8166 \| 0.9420 \|
	\| 0.1711 \| 0.36 \| 60 \| 0.1810 \| 0.7918 \| 0.7620 \| 0.7766 \| 0.6348 \| 0.9597 \| 0.8709 \| 0.9404 \|
	\| 0.1716 \| 0.42 \| 70 \| 0.1841 \| 0.8143 \| 0.7735 \| 0.7934 \| 0.6575 \| 0.9629 \| 0.8778 \| 0.9426 \|
	\| 0.1452 \| 0.48 \| 80 \| 0.1610 \| 0.9013 \| 0.6827 \| 0.7769 \| 0.6352 \| 0.9639 \| 0.8376 \| 0.9486 \|
	\| 0.1233 \| 0.55 \| 90 \| 0.1604 \| 0.8569 \| 0.7587 \| 0.8048 \| 0.6734 \| 0.9662 \| 0.8729 \| 0.9487 \|
	\| 0.1291 \| 0.61 \| 100 \| 0.1694 \| 0.8405 \| 0.7794 \| 0.8088 \| 0.6789 \| 0.9661 \| 0.8822 \| 0.9475 \|
	\| 0.1335 \| 0.67 \| 110 \| 0.1529 \| 0.8730 \| 0.7445 \| 0.8036 \| 0.6717 \| 0.9665 \| 0.8667 \| 0.9494 \|
	\| 0.0921 \| 0.73 \| 120 \| 0.1675 \| 0.8238 \| 0.8090 \| 0.8164 \| 0.6897 \| 0.9665 \| 0.8958 \| 0.9462 \|
	\| 0.0936 \| 0.79 \| 130 \| 0.1469 \| 0.8672 \| 0.7738 \| 0.8178 \| 0.6918 \| 0.9683 \| 0.8809 \| 0.9520 \|
	\| 0.1168 \| 0.85 \| 140 \| 0.1570 \| 0.8190 \| 0.8088 \| 0.8139 \| 0.6862 \| 0.9660 \| 0.8953 \| 0.9483 \|
	\| 0.091 \| 0.91 \| 150 \| 0.1630 \| 0.8330 \| 0.7842 \| 0.8079 \| 0.6777 \| 0.9657 \| 0.8841 \| 0.9477 \|
	\| 0.0795 \| 0.97 \| 160 \| 0.1413 \| 0.8477 \| 0.7934 \| 0.8196 \| 0.6944 \| 0.9679 \| 0.8895 \| 0.9539 \|
	\| 0.0927 \| 1.03 \| 170 \| 0.1678 \| 0.8071 \| 0.8218 \| 0.8144 \| 0.6869 \| 0.9655 \| 0.9009 \| 0.9467 \|
	\| 0.0748 \| 1.09 \| 180 \| 0.1346 \| 0.8785 \| 0.7628 \| 0.8166 \| 0.6900 \| 0.9685 \| 0.8761 \| 0.9563 \|
	\| 0.0731 \| 1.15 \| 190 \| 0.1691 \| 0.8290 \| 0.8018 \| 0.8152 \| 0.6880 \| 0.9666 \| 0.8925 \| 0.9485 \|
	\| 0.0842 \| 1.21 \| 200 \| 0.1561 \| 0.8264 \| 0.8127 \| 0.8195 \| 0.6942 \| 0.9671 \| 0.8977 \| 0.9512 \|
	\| 0.0702 \| 1.27 \| 210 \| 0.1419 \| 0.8459 \| 0.7931 \| 0.8187 \| 0.6930 \| 0.9677 \| 0.8892 \| 0.9539 \|
	\| 0.0577 \| 1.33 \| 220 \| 0.1506 \| 0.8375 \| 0.8057 \| 0.8213 \| 0.6968 \| 0.9678 \| 0.8950 \| 0.9521 \|
	\| 0.0596 \| 1.39 \| 230 \| 0.1628 \| 0.7907 \| 0.8377 \| 0.8135 \| 0.6856 \| 0.9647 \| 0.9076 \| 0.9485 \|
	\| 0.0562 \| 1.45 \| 240 \| 0.1585 \| 0.8413 \| 0.7953 \| 0.8176 \| 0.6915 \| 0.9674 \| 0.8900 \| 0.9518 \|
	\| 0.0519 \| 1.52 \| 250 \| 0.1740 \| 0.8062 \| 0.8189 \| 0.8125 \| 0.6842 \| 0.9652 \| 0.8995 \| 0.9490 \|
	\| 0.0547 \| 1.58 \| 260 \| 0.1751 \| 0.8593 \| 0.7752 \| 0.8151 \| 0.6879 \| 0.9677 \| 0.8812 \| 0.9521 \|
	\| 0.0604 \| 1.64 \| 270 \| 0.1693 \| 0.8155 \| 0.8116 \| 0.8136 \| 0.6857 \| 0.9658 \| 0.8965 \| 0.9503 \|
	\| 0.043 \| 1.7 \| 280 \| 0.1939 \| 0.8106 \| 0.8264 \| 0.8184 \| 0.6926 \| 0.9663 \| 0.9034 \| 0.9490 \|
	\| 0.0538 \| 1.76 \| 290 \| 0.1800 \| 0.8320 \| 0.8146 \| 0.8232 \| 0.6996 \| 0.9678 \| 0.8990 \| 0.9515 \|
	\| 0.0557 \| 1.82 \| 300 \| 0.1762 \| 0.7867 \| 0.8289 \| 0.8073 \| 0.6768 \| 0.9636 \| 0.9031 \| 0.9473 \|
	\| 0.0493 \| 1.88 \| 310 \| 0.1646 \| 0.8411 \| 0.7894 \| 0.8144 \| 0.6870 \| 0.9669 \| 0.8872 \| 0.9519 \|
	\| 0.0524 \| 1.94 \| 320 \| 0.1674 \| 0.8155 \| 0.8205 \| 0.8180 \| 0.6921 \| 0.9664 \| 0.9009 \| 0.9507 \|
	\| 0.0445 \| 2.0 \| 330 \| 0.1616 \| 0.8186 \| 0.8075 \| 0.8130 \| 0.6849 \| 0.9658 \| 0.8947 \| 0.9511 \|
	\| 0.0399 \| 2.06 \| 340 \| 0.2141 \| 0.7818 \| 0.8352 \| 0.8076 \| 0.6773 \| 0.9634 \| 0.9058 \| 0.9455 \|
	\| 0.039 \| 2.12 \| 350 \| 0.1765 \| 0.8189 \| 0.8134 \| 0.8161 \| 0.6894 \| 0.9663 \| 0.8976 \| 0.9509 \|
	\| 0.0353 \| 2.18 \| 360 \| 0.1900 \| 0.8097 \| 0.8130 \| 0.8113 \| 0.6826 \| 0.9652 \| 0.8968 \| 0.9495 \|
	\| 0.0269 \| 2.24 \| 370 \| 0.2080 \| 0.8338 \| 0.7953 \| 0.8141 \| 0.6865 \| 0.9666 \| 0.8896 \| 0.9508 \|
	\| 0.0333 \| 2.3 \| 380 \| 0.2032 \| 0.7753 \| 0.8341 \| 0.8036 \| 0.6717 \| 0.9625 \| 0.9048 \| 0.9466 \|
	\| 0.0339 \| 2.36 \| 390 \| 0.1867 \| 0.8309 \| 0.8045 \| 0.8175 \| 0.6913 \| 0.9670 \| 0.8939 \| 0.9520 \|
	\| 0.035 \| 2.42 \| 400 \| 0.1826 \| 0.8078 \| 0.8213 \| 0.8145 \| 0.6870 \| 0.9656 \| 0.9007 \| 0.9500 \|
	\| 0.039 \| 2.48 \| 410 \| 0.2028 \| 0.7762 \| 0.8335 \| 0.8038 \| 0.6720 \| 0.9626 \| 0.9046 \| 0.9466 \|
	\| 0.0303 \| 2.55 \| 420 \| 0.1964 \| 0.8096 \| 0.8153 \| 0.8124 \| 0.6841 \| 0.9654 \| 0.8979 \| 0.9495 \|
	\| 0.0296 \| 2.61 \| 430 \| 0.1908 \| 0.7883 \| 0.8349 \| 0.8109 \| 0.6820 \| 0.9642 \| 0.9061 \| 0.9485 \|
	\| 0.0356 \| 2.67 \| 440 \| 0.2016 \| 0.8151 \| 0.8140 \| 0.8145 \| 0.6871 \| 0.9659 \| 0.8977 \| 0.9497 \|
	\| 0.0343 \| 2.73 \| 450 \| 0.1963 \| 0.8016 \| 0.8248 \| 0.8130 \| 0.6850 \| 0.9651 \| 0.9021 \| 0.9497 \|
	\| 0.0271 \| 2.79 \| 460 \| 0.2077 \| 0.8172 \| 0.8127 \| 0.8150 \| 0.6877 \| 0.9661 \| 0.8972 \| 0.9500 \|
	\| 0.0311 \| 2.85 \| 470 \| 0.1889 \| 0.8080 \| 0.8254 \| 0.8166 \| 0.6900 \| 0.9659 \| 0.9027 \| 0.9512 \|
	\| 0.029 \| 2.91 \| 480 \| 0.1995 \| 0.7698 \| 0.8443 \| 0.8053 \| 0.6741 \| 0.9625 \| 0.9094 \| 0.9469 \|
	\| 0.0265 \| 2.97 \| 490 \| 0.1828 \| 0.8245 \| 0.8148 \| 0.8196 \| 0.6944 \| 0.9670 \| 0.8986 \| 0.9528 \|
	\| 0.0281 \| 3.03 \| 500 \| 0.2061 \| 0.8321 \| 0.8070 \| 0.8194 \| 0.6940 \| 0.9673 \| 0.8953 \| 0.9520 \|
	\| 0.0273 \| 3.09 \| 510 \| 0.2072 \| 0.8105 \| 0.8218 \| 0.8161 \| 0.6894 \| 0.9659 \| 0.9012 \| 0.9502 \|
	\| 0.0268 \| 3.15 \| 520 \| 0.2113 \| 0.8084 \| 0.8222 \| 0.8152 \| 0.6881 \| 0.9657 \| 0.9012 \| 0.9502 \|
	\| 0.0241 \| 3.21 \| 530 \| 0.2015 \| 0.8318 \| 0.8038 \| 0.8176 \| 0.6914 \| 0.9670 \| 0.8937 \| 0.9524 \|
	\| 0.0198 \| 3.27 \| 540 \| 0.2252 \| 0.7922 \| 0.8331 \| 0.8122 \| 0.6837 \| 0.9646 \| 0.9055 \| 0.9483 \|
	\| 0.0268 \| 3.33 \| 550 \| 0.2107 \| 0.7931 \| 0.8343 \| 0.8132 \| 0.6852 \| 0.9647 \| 0.9061 \| 0.9493 \|
	\| 0.0185 \| 3.39 \| 560 \| 0.2202 \| 0.7874 \| 0.8311 \| 0.8086 \| 0.6787 \| 0.9638 \| 0.9042 \| 0.9485 \|
	\| 0.0224 \| 3.45 \| 570 \| 0.2256 \| 0.8057 \| 0.8247 \| 0.8151 \| 0.6879 \| 0.9656 \| 0.9023 \| 0.9497 \|
	\| 0.0189 \| 3.52 \| 580 \| 0.2125 \| 0.8111 \| 0.8204 \| 0.8157 \| 0.6888 \| 0.9659 \| 0.9005 \| 0.9504 \|
	\| 0.026 \| 3.58 \| 590 \| 0.2163 \| 0.8122 \| 0.8182 \| 0.8152 \| 0.6881 \| 0.9659 \| 0.8995 \| 0.9506 \|
	\| 0.0184 \| 3.64 \| 600 \| 0.2143 \| 0.8057 \| 0.8204 \| 0.8130 \| 0.6849 \| 0.9653 \| 0.9002 \| 0.9502 \|
	\| 0.0196 \| 3.7 \| 610 \| 0.2113 \| 0.8171 \| 0.8164 \| 0.8167 \| 0.6903 \| 0.9663 \| 0.8990 \| 0.9509 \|
	\| 0.0205 \| 3.76 \| 620 \| 0.2081 \| 0.8127 \| 0.8213 \| 0.8170 \| 0.6906 \| 0.9662 \| 0.9011 \| 0.9512 \|
	\| 0.0231 \| 3.82 \| 630 \| 0.2200 \| 0.8170 \| 0.8225 \| 0.8198 \| 0.6946 \| 0.9667 \| 0.9019 \| 0.9508 \|
	\| 0.0209 \| 3.88 \| 640 \| 0.2179 \| 0.8148 \| 0.8261 \| 0.8204 \| 0.6955 \| 0.9667 \| 0.9035 \| 0.9512 \|
	\| 0.0164 \| 3.94 \| 650 \| 0.2201 \| 0.8338 \| 0.8124 \| 0.8229 \| 0.6992 \| 0.9679 \| 0.8980 \| 0.9522 \|
	\| 0.0222 \| 4.0 \| 660 \| 0.2174 \| 0.8193 \| 0.8124 \| 0.8158 \| 0.6890 \| 0.9663 \| 0.8971 \| 0.9505 \|
	\| 0.0209 \| 4.06 \| 670 \| 0.2169 \| 0.7975 \| 0.8336 \| 0.8151 \| 0.6880 \| 0.9652 \| 0.9061 \| 0.9502 \|
	\| 0.0165 \| 4.12 \| 680 \| 0.2248 \| 0.7973 \| 0.8317 \| 0.8141 \| 0.6865 \| 0.9651 \| 0.9052 \| 0.9494 \|
	\| 0.0136 \| 4.18 \| 690 \| 0.2254 \| 0.8073 \| 0.8245 \| 0.8158 \| 0.6889 \| 0.9658 \| 0.9023 \| 0.9501 \|
	\| 0.016 \| 4.24 \| 700 \| 0.2259 \| 0.8029 \| 0.8231 \| 0.8129 \| 0.6847 \| 0.9651 \| 0.9013 \| 0.9499 \|
	\| 0.018 \| 4.3 \| 710 \| 0.2291 \| 0.8013 \| 0.8264 \| 0.8136 \| 0.6858 \| 0.9652 \| 0.9028 \| 0.9496 \|
	\| 0.0148 \| 4.36 \| 720 \| 0.2316 \| 0.7923 \| 0.8283 \| 0.8099 \| 0.6806 \| 0.9642 \| 0.9031 \| 0.9483 \|
	\| 0.0163 \| 4.42 \| 730 \| 0.2423 \| 0.7882 \| 0.8321 \| 0.8096 \| 0.6801 \| 0.9640 \| 0.9047 \| 0.9475 \|
	\| 0.0162 \| 4.48 \| 740 \| 0.2312 \| 0.8042 \| 0.8243 \| 0.8141 \| 0.6865 \| 0.9654 \| 0.9020 \| 0.9496 \|
	\| 0.0121 \| 4.55 \| 750 \| 0.2355 \| 0.8003 \| 0.8257 \| 0.8128 \| 0.6847 \| 0.9650 \| 0.9024 \| 0.9494 \|
	\| 0.0182 \| 4.61 \| 760 \| 0.2393 \| 0.7911 \| 0.8313 \| 0.8107 \| 0.6817 \| 0.9643 \| 0.9046 \| 0.9485 \|
	\| 0.0182 \| 4.67 \| 770 \| 0.2292 \| 0.7954 \| 0.8308 \| 0.8127 \| 0.6845 \| 0.9648 \| 0.9046 \| 0.9494 \|
	\| 0.0153 \| 4.73 \| 780 \| 0.2312 \| 0.8043 \| 0.8266 \| 0.8153 \| 0.6882 \| 0.9656 \| 0.9031 \| 0.9498 \|
	\| 0.0182 \| 4.79 \| 790 \| 0.2410 \| 0.7953 \| 0.8326 \| 0.8135 \| 0.6857 \| 0.9649 \| 0.9055 \| 0.9489 \|
	\| 0.0133 \| 4.85 \| 800 \| 0.2350 \| 0.8110 \| 0.8219 \| 0.8164 \| 0.6898 \| 0.9660 \| 0.9013 \| 0.9505 \|
	\| 0.0185 \| 4.91 \| 810 \| 0.2432 \| 0.7912 \| 0.8363 \| 0.8132 \| 0.6851 \| 0.9647 \| 0.9070 \| 0.9486 \|
	\| 0.0157 \| 4.97 \| 820 \| 0.2318 \| 0.8103 \| 0.8214 \| 0.8158 \| 0.6889 \| 0.9659 \| 0.9010 \| 0.9503 \|
	\| 0.0171 \| 5.03 \| 830 \| 0.2392 \| 0.7992 \| 0.8294 \| 0.8140 \| 0.6864 \| 0.9651 \| 0.9042 \| 0.9492 \|
	\| 0.0121 \| 5.09 \| 840 \| 0.2422 \| 0.8043 \| 0.8271 \| 0.8155 \| 0.6885 \| 0.9656 \| 0.9034 \| 0.9497 \|
	\| 0.0103 \| 5.15 \| 850 \| 0.2382 \| 0.8009 \| 0.8296 \| 0.8150 \| 0.6877 \| 0.9654 \| 0.9043 \| 0.9495 \|
	\| 0.0148 \| 5.21 \| 860 \| 0.2358 \| 0.8057 \| 0.8256 \| 0.8155 \| 0.6885 \| 0.9656 \| 0.9027 \| 0.9501 \|
	\| 0.0115 \| 5.27 \| 870 \| 0.2398 \| 0.8008 \| 0.8290 \| 0.8147 \| 0.6873 \| 0.9653 \| 0.9041 \| 0.9497 \|
	\| 0.0115 \| 5.33 \| 880 \| 0.2385 \| 0.8035 \| 0.8245 \| 0.8138 \| 0.6861 \| 0.9653 \| 0.9020 \| 0.9496 \|
	\| 0.0122 \| 5.39 \| 890 \| 0.2387 \| 0.7983 \| 0.8303 \| 0.8140 \| 0.6863 \| 0.9651 \| 0.9045 \| 0.9494 \|
	\| 0.0134 \| 5.45 \| 900 \| 0.2395 \| 0.8009 \| 0.8279 \| 0.8142 \| 0.6866 \| 0.9652 \| 0.9035 \| 0.9495 \|
	\| 0.0169 \| 5.52 \| 910 \| 0.2391 \| 0.8012 \| 0.8282 \| 0.8145 \| 0.6870 \| 0.9653 \| 0.9037 \| 0.9496 \|
	\| 0.0178 \| 5.58 \| 920 \| 0.2403 \| 0.7997 \| 0.8290 \| 0.8141 \| 0.6865 \| 0.9652 \| 0.9040 \| 0.9493 \|
	\| 0.0162 \| 5.64 \| 930 \| 0.2391 \| 0.8017 \| 0.8274 \| 0.8143 \| 0.6868 \| 0.9653 \| 0.9033 \| 0.9496 \|
	\| 0.0115 \| 5.7 \| 940 \| 0.2384 \| 0.8035 \| 0.8265 \| 0.8148 \| 0.6875 \| 0.9655 \| 0.9030 \| 0.9498 \|
	\| 0.0175 \| 5.76 \| 950 \| 0.2386 \| 0.8029 \| 0.8282 \| 0.8153 \| 0.6882 \| 0.9655 \| 0.9038 \| 0.9498 \|
	\| 0.0165 \| 5.82 \| 960 \| 0.2390 \| 0.8017 \| 0.8288 \| 0.8150 \| 0.6878 \| 0.9654 \| 0.9040 \| 0.9497 \|
	\| 0.0186 \| 5.88 \| 970 \| 0.2389 \| 0.8021 \| 0.8289 \| 0.8153 \| 0.6882 \| 0.9655 \| 0.9041 \| 0.9498 \|
	\| 0.0124 \| 5.94 \| 980 \| 0.2390 \| 0.8024 \| 0.8288 \| 0.8154 \| 0.6883 \| 0.9655 \| 0.9041 \| 0.9498 \|
	\| 0.0138 \| 6.0 \| 990 \| 0.2391 \| 0.8025 \| 0.8289 \| 0.8155 \| 0.6885 \| 0.9655 \| 0.9041 \| 0.9498 \|
	\| 0.0113 \| 6.06 \| 1000 \| 0.2391 \| 0.8025 \| 0.8289 \| 0.8155 \| 0.6885 \| 0.9655 \| 0.9041 \| 0.9498 \|


	### Framework versions

	- Transformers 4.34.1
	- Pytorch 2.0.1
	- Datasets 2.14.6
	- Tokenizers 0.14.1

	---
	license: apache-2.0
	base_model: distilbert-base-uncased
	tags:
	- generated_from_trainer
	metrics:
	- precision
	- recall
	- f1
	- accuracy
	model-index:
	- name: sembr2023-distilbert-base-uncased
	results: []
	---

	<!-- This model card has been generated automatically according to the information the Trainer had access to. You
	should probably proofread and complete it, then remove this comment. -->

	# sembr2023-distilbert-base-uncased

	This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
	It achieves the following results on the evaluation set:
	- Loss: 0.2391
	- Precision: 0.8025
	- Recall: 0.8289
	- F1: 0.8155
	- Iou: 0.6885
	- Accuracy: 0.9655
	- Balanced Accuracy: 0.9041
	- Overall Accuracy: 0.9498

	## Model description

	More information needed

	## Intended uses & limitations

	More information needed

	## Training and evaluation data

	More information needed

	## Training procedure

	### Training hyperparameters

	The following hyperparameters were used during training:
	- learning_rate: 0.0001
	- train_batch_size: 64
	- eval_batch_size: 128
	- seed: 42
	- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
	- lr_scheduler_type: cosine
	- training_steps: 1000

	### Training results

	\| Training Loss \| Epoch \| Step \| Validation Loss \| Precision \| Recall \| F1 \| Iou \| Accuracy \| Balanced Accuracy \| Overall Accuracy \|
	\|:-------------:\|:-----:\|:----:\|:---------------:\|:---------:\|:------:\|:------:\|:------:\|:--------:\|:-----------------:\|:----------------:\|
	\| 0.4046 \| 0.06 \| 10 \| 0.4081 \| 0 \| 0.0 \| 0.0 \| 0.0 \| 0.9080 \| 0.5 \| 0.9080 \|
	\| 0.376 \| 0.12 \| 20 \| 0.3776 \| 0 \| 0.0 \| 0.0 \| 0.0 \| 0.9080 \| 0.5 \| 0.9080 \|
	\| 0.3291 \| 0.18 \| 30 \| 0.2954 \| 0.8417 \| 0.0813 \| 0.1482 \| 0.0801 \| 0.9141 \| 0.5399 \| 0.9134 \|
	\| 0.2309 \| 0.24 \| 40 \| 0.2165 \| 0.8158 \| 0.6008 \| 0.6920 \| 0.5290 \| 0.9508 \| 0.7935 \| 0.9357 \|
	\| 0.1704 \| 0.3 \| 50 \| 0.1928 \| 0.8703 \| 0.6428 \| 0.7394 \| 0.5866 \| 0.9583 \| 0.8166 \| 0.9420 \|
	\| 0.1711 \| 0.36 \| 60 \| 0.1810 \| 0.7918 \| 0.7620 \| 0.7766 \| 0.6348 \| 0.9597 \| 0.8709 \| 0.9404 \|
	\| 0.1716 \| 0.42 \| 70 \| 0.1841 \| 0.8143 \| 0.7735 \| 0.7934 \| 0.6575 \| 0.9629 \| 0.8778 \| 0.9426 \|
	\| 0.1452 \| 0.48 \| 80 \| 0.1610 \| 0.9013 \| 0.6827 \| 0.7769 \| 0.6352 \| 0.9639 \| 0.8376 \| 0.9486 \|
	\| 0.1233 \| 0.55 \| 90 \| 0.1604 \| 0.8569 \| 0.7587 \| 0.8048 \| 0.6734 \| 0.9662 \| 0.8729 \| 0.9487 \|
	\| 0.1291 \| 0.61 \| 100 \| 0.1694 \| 0.8405 \| 0.7794 \| 0.8088 \| 0.6789 \| 0.9661 \| 0.8822 \| 0.9475 \|
	\| 0.1335 \| 0.67 \| 110 \| 0.1529 \| 0.8730 \| 0.7445 \| 0.8036 \| 0.6717 \| 0.9665 \| 0.8667 \| 0.9494 \|
	\| 0.0921 \| 0.73 \| 120 \| 0.1675 \| 0.8238 \| 0.8090 \| 0.8164 \| 0.6897 \| 0.9665 \| 0.8958 \| 0.9462 \|
	\| 0.0936 \| 0.79 \| 130 \| 0.1469 \| 0.8672 \| 0.7738 \| 0.8178 \| 0.6918 \| 0.9683 \| 0.8809 \| 0.9520 \|
	\| 0.1168 \| 0.85 \| 140 \| 0.1570 \| 0.8190 \| 0.8088 \| 0.8139 \| 0.6862 \| 0.9660 \| 0.8953 \| 0.9483 \|
	\| 0.091 \| 0.91 \| 150 \| 0.1630 \| 0.8330 \| 0.7842 \| 0.8079 \| 0.6777 \| 0.9657 \| 0.8841 \| 0.9477 \|
	\| 0.0795 \| 0.97 \| 160 \| 0.1413 \| 0.8477 \| 0.7934 \| 0.8196 \| 0.6944 \| 0.9679 \| 0.8895 \| 0.9539 \|
	\| 0.0927 \| 1.03 \| 170 \| 0.1678 \| 0.8071 \| 0.8218 \| 0.8144 \| 0.6869 \| 0.9655 \| 0.9009 \| 0.9467 \|
	\| 0.0748 \| 1.09 \| 180 \| 0.1346 \| 0.8785 \| 0.7628 \| 0.8166 \| 0.6900 \| 0.9685 \| 0.8761 \| 0.9563 \|
	\| 0.0731 \| 1.15 \| 190 \| 0.1691 \| 0.8290 \| 0.8018 \| 0.8152 \| 0.6880 \| 0.9666 \| 0.8925 \| 0.9485 \|
	\| 0.0842 \| 1.21 \| 200 \| 0.1561 \| 0.8264 \| 0.8127 \| 0.8195 \| 0.6942 \| 0.9671 \| 0.8977 \| 0.9512 \|
	\| 0.0702 \| 1.27 \| 210 \| 0.1419 \| 0.8459 \| 0.7931 \| 0.8187 \| 0.6930 \| 0.9677 \| 0.8892 \| 0.9539 \|
	\| 0.0577 \| 1.33 \| 220 \| 0.1506 \| 0.8375 \| 0.8057 \| 0.8213 \| 0.6968 \| 0.9678 \| 0.8950 \| 0.9521 \|
	\| 0.0596 \| 1.39 \| 230 \| 0.1628 \| 0.7907 \| 0.8377 \| 0.8135 \| 0.6856 \| 0.9647 \| 0.9076 \| 0.9485 \|
	\| 0.0562 \| 1.45 \| 240 \| 0.1585 \| 0.8413 \| 0.7953 \| 0.8176 \| 0.6915 \| 0.9674 \| 0.8900 \| 0.9518 \|
	\| 0.0519 \| 1.52 \| 250 \| 0.1740 \| 0.8062 \| 0.8189 \| 0.8125 \| 0.6842 \| 0.9652 \| 0.8995 \| 0.9490 \|
	\| 0.0547 \| 1.58 \| 260 \| 0.1751 \| 0.8593 \| 0.7752 \| 0.8151 \| 0.6879 \| 0.9677 \| 0.8812 \| 0.9521 \|
	\| 0.0604 \| 1.64 \| 270 \| 0.1693 \| 0.8155 \| 0.8116 \| 0.8136 \| 0.6857 \| 0.9658 \| 0.8965 \| 0.9503 \|
	\| 0.043 \| 1.7 \| 280 \| 0.1939 \| 0.8106 \| 0.8264 \| 0.8184 \| 0.6926 \| 0.9663 \| 0.9034 \| 0.9490 \|
	\| 0.0538 \| 1.76 \| 290 \| 0.1800 \| 0.8320 \| 0.8146 \| 0.8232 \| 0.6996 \| 0.9678 \| 0.8990 \| 0.9515 \|
	\| 0.0557 \| 1.82 \| 300 \| 0.1762 \| 0.7867 \| 0.8289 \| 0.8073 \| 0.6768 \| 0.9636 \| 0.9031 \| 0.9473 \|
	\| 0.0493 \| 1.88 \| 310 \| 0.1646 \| 0.8411 \| 0.7894 \| 0.8144 \| 0.6870 \| 0.9669 \| 0.8872 \| 0.9519 \|
	\| 0.0524 \| 1.94 \| 320 \| 0.1674 \| 0.8155 \| 0.8205 \| 0.8180 \| 0.6921 \| 0.9664 \| 0.9009 \| 0.9507 \|
	\| 0.0445 \| 2.0 \| 330 \| 0.1616 \| 0.8186 \| 0.8075 \| 0.8130 \| 0.6849 \| 0.9658 \| 0.8947 \| 0.9511 \|
	\| 0.0399 \| 2.06 \| 340 \| 0.2141 \| 0.7818 \| 0.8352 \| 0.8076 \| 0.6773 \| 0.9634 \| 0.9058 \| 0.9455 \|
	\| 0.039 \| 2.12 \| 350 \| 0.1765 \| 0.8189 \| 0.8134 \| 0.8161 \| 0.6894 \| 0.9663 \| 0.8976 \| 0.9509 \|
	\| 0.0353 \| 2.18 \| 360 \| 0.1900 \| 0.8097 \| 0.8130 \| 0.8113 \| 0.6826 \| 0.9652 \| 0.8968 \| 0.9495 \|
	\| 0.0269 \| 2.24 \| 370 \| 0.2080 \| 0.8338 \| 0.7953 \| 0.8141 \| 0.6865 \| 0.9666 \| 0.8896 \| 0.9508 \|
	\| 0.0333 \| 2.3 \| 380 \| 0.2032 \| 0.7753 \| 0.8341 \| 0.8036 \| 0.6717 \| 0.9625 \| 0.9048 \| 0.9466 \|
	\| 0.0339 \| 2.36 \| 390 \| 0.1867 \| 0.8309 \| 0.8045 \| 0.8175 \| 0.6913 \| 0.9670 \| 0.8939 \| 0.9520 \|
	\| 0.035 \| 2.42 \| 400 \| 0.1826 \| 0.8078 \| 0.8213 \| 0.8145 \| 0.6870 \| 0.9656 \| 0.9007 \| 0.9500 \|
	\| 0.039 \| 2.48 \| 410 \| 0.2028 \| 0.7762 \| 0.8335 \| 0.8038 \| 0.6720 \| 0.9626 \| 0.9046 \| 0.9466 \|
	\| 0.0303 \| 2.55 \| 420 \| 0.1964 \| 0.8096 \| 0.8153 \| 0.8124 \| 0.6841 \| 0.9654 \| 0.8979 \| 0.9495 \|
	\| 0.0296 \| 2.61 \| 430 \| 0.1908 \| 0.7883 \| 0.8349 \| 0.8109 \| 0.6820 \| 0.9642 \| 0.9061 \| 0.9485 \|
	\| 0.0356 \| 2.67 \| 440 \| 0.2016 \| 0.8151 \| 0.8140 \| 0.8145 \| 0.6871 \| 0.9659 \| 0.8977 \| 0.9497 \|
	\| 0.0343 \| 2.73 \| 450 \| 0.1963 \| 0.8016 \| 0.8248 \| 0.8130 \| 0.6850 \| 0.9651 \| 0.9021 \| 0.9497 \|
	\| 0.0271 \| 2.79 \| 460 \| 0.2077 \| 0.8172 \| 0.8127 \| 0.8150 \| 0.6877 \| 0.9661 \| 0.8972 \| 0.9500 \|
	\| 0.0311 \| 2.85 \| 470 \| 0.1889 \| 0.8080 \| 0.8254 \| 0.8166 \| 0.6900 \| 0.9659 \| 0.9027 \| 0.9512 \|
	\| 0.029 \| 2.91 \| 480 \| 0.1995 \| 0.7698 \| 0.8443 \| 0.8053 \| 0.6741 \| 0.9625 \| 0.9094 \| 0.9469 \|
	\| 0.0265 \| 2.97 \| 490 \| 0.1828 \| 0.8245 \| 0.8148 \| 0.8196 \| 0.6944 \| 0.9670 \| 0.8986 \| 0.9528 \|
	\| 0.0281 \| 3.03 \| 500 \| 0.2061 \| 0.8321 \| 0.8070 \| 0.8194 \| 0.6940 \| 0.9673 \| 0.8953 \| 0.9520 \|
	\| 0.0273 \| 3.09 \| 510 \| 0.2072 \| 0.8105 \| 0.8218 \| 0.8161 \| 0.6894 \| 0.9659 \| 0.9012 \| 0.9502 \|
	\| 0.0268 \| 3.15 \| 520 \| 0.2113 \| 0.8084 \| 0.8222 \| 0.8152 \| 0.6881 \| 0.9657 \| 0.9012 \| 0.9502 \|
	\| 0.0241 \| 3.21 \| 530 \| 0.2015 \| 0.8318 \| 0.8038 \| 0.8176 \| 0.6914 \| 0.9670 \| 0.8937 \| 0.9524 \|
	\| 0.0198 \| 3.27 \| 540 \| 0.2252 \| 0.7922 \| 0.8331 \| 0.8122 \| 0.6837 \| 0.9646 \| 0.9055 \| 0.9483 \|
	\| 0.0268 \| 3.33 \| 550 \| 0.2107 \| 0.7931 \| 0.8343 \| 0.8132 \| 0.6852 \| 0.9647 \| 0.9061 \| 0.9493 \|
	\| 0.0185 \| 3.39 \| 560 \| 0.2202 \| 0.7874 \| 0.8311 \| 0.8086 \| 0.6787 \| 0.9638 \| 0.9042 \| 0.9485 \|
	\| 0.0224 \| 3.45 \| 570 \| 0.2256 \| 0.8057 \| 0.8247 \| 0.8151 \| 0.6879 \| 0.9656 \| 0.9023 \| 0.9497 \|
	\| 0.0189 \| 3.52 \| 580 \| 0.2125 \| 0.8111 \| 0.8204 \| 0.8157 \| 0.6888 \| 0.9659 \| 0.9005 \| 0.9504 \|
	\| 0.026 \| 3.58 \| 590 \| 0.2163 \| 0.8122 \| 0.8182 \| 0.8152 \| 0.6881 \| 0.9659 \| 0.8995 \| 0.9506 \|
	\| 0.0184 \| 3.64 \| 600 \| 0.2143 \| 0.8057 \| 0.8204 \| 0.8130 \| 0.6849 \| 0.9653 \| 0.9002 \| 0.9502 \|
	\| 0.0196 \| 3.7 \| 610 \| 0.2113 \| 0.8171 \| 0.8164 \| 0.8167 \| 0.6903 \| 0.9663 \| 0.8990 \| 0.9509 \|
	\| 0.0205 \| 3.76 \| 620 \| 0.2081 \| 0.8127 \| 0.8213 \| 0.8170 \| 0.6906 \| 0.9662 \| 0.9011 \| 0.9512 \|
	\| 0.0231 \| 3.82 \| 630 \| 0.2200 \| 0.8170 \| 0.8225 \| 0.8198 \| 0.6946 \| 0.9667 \| 0.9019 \| 0.9508 \|
	\| 0.0209 \| 3.88 \| 640 \| 0.2179 \| 0.8148 \| 0.8261 \| 0.8204 \| 0.6955 \| 0.9667 \| 0.9035 \| 0.9512 \|
	\| 0.0164 \| 3.94 \| 650 \| 0.2201 \| 0.8338 \| 0.8124 \| 0.8229 \| 0.6992 \| 0.9679 \| 0.8980 \| 0.9522 \|
	\| 0.0222 \| 4.0 \| 660 \| 0.2174 \| 0.8193 \| 0.8124 \| 0.8158 \| 0.6890 \| 0.9663 \| 0.8971 \| 0.9505 \|
	\| 0.0209 \| 4.06 \| 670 \| 0.2169 \| 0.7975 \| 0.8336 \| 0.8151 \| 0.6880 \| 0.9652 \| 0.9061 \| 0.9502 \|
	\| 0.0165 \| 4.12 \| 680 \| 0.2248 \| 0.7973 \| 0.8317 \| 0.8141 \| 0.6865 \| 0.9651 \| 0.9052 \| 0.9494 \|
	\| 0.0136 \| 4.18 \| 690 \| 0.2254 \| 0.8073 \| 0.8245 \| 0.8158 \| 0.6889 \| 0.9658 \| 0.9023 \| 0.9501 \|
	\| 0.016 \| 4.24 \| 700 \| 0.2259 \| 0.8029 \| 0.8231 \| 0.8129 \| 0.6847 \| 0.9651 \| 0.9013 \| 0.9499 \|
	\| 0.018 \| 4.3 \| 710 \| 0.2291 \| 0.8013 \| 0.8264 \| 0.8136 \| 0.6858 \| 0.9652 \| 0.9028 \| 0.9496 \|
	\| 0.0148 \| 4.36 \| 720 \| 0.2316 \| 0.7923 \| 0.8283 \| 0.8099 \| 0.6806 \| 0.9642 \| 0.9031 \| 0.9483 \|
	\| 0.0163 \| 4.42 \| 730 \| 0.2423 \| 0.7882 \| 0.8321 \| 0.8096 \| 0.6801 \| 0.9640 \| 0.9047 \| 0.9475 \|
	\| 0.0162 \| 4.48 \| 740 \| 0.2312 \| 0.8042 \| 0.8243 \| 0.8141 \| 0.6865 \| 0.9654 \| 0.9020 \| 0.9496 \|
	\| 0.0121 \| 4.55 \| 750 \| 0.2355 \| 0.8003 \| 0.8257 \| 0.8128 \| 0.6847 \| 0.9650 \| 0.9024 \| 0.9494 \|
	\| 0.0182 \| 4.61 \| 760 \| 0.2393 \| 0.7911 \| 0.8313 \| 0.8107 \| 0.6817 \| 0.9643 \| 0.9046 \| 0.9485 \|
	\| 0.0182 \| 4.67 \| 770 \| 0.2292 \| 0.7954 \| 0.8308 \| 0.8127 \| 0.6845 \| 0.9648 \| 0.9046 \| 0.9494 \|
	\| 0.0153 \| 4.73 \| 780 \| 0.2312 \| 0.8043 \| 0.8266 \| 0.8153 \| 0.6882 \| 0.9656 \| 0.9031 \| 0.9498 \|
	\| 0.0182 \| 4.79 \| 790 \| 0.2410 \| 0.7953 \| 0.8326 \| 0.8135 \| 0.6857 \| 0.9649 \| 0.9055 \| 0.9489 \|
	\| 0.0133 \| 4.85 \| 800 \| 0.2350 \| 0.8110 \| 0.8219 \| 0.8164 \| 0.6898 \| 0.9660 \| 0.9013 \| 0.9505 \|
	\| 0.0185 \| 4.91 \| 810 \| 0.2432 \| 0.7912 \| 0.8363 \| 0.8132 \| 0.6851 \| 0.9647 \| 0.9070 \| 0.9486 \|
	\| 0.0157 \| 4.97 \| 820 \| 0.2318 \| 0.8103 \| 0.8214 \| 0.8158 \| 0.6889 \| 0.9659 \| 0.9010 \| 0.9503 \|
	\| 0.0171 \| 5.03 \| 830 \| 0.2392 \| 0.7992 \| 0.8294 \| 0.8140 \| 0.6864 \| 0.9651 \| 0.9042 \| 0.9492 \|
	\| 0.0121 \| 5.09 \| 840 \| 0.2422 \| 0.8043 \| 0.8271 \| 0.8155 \| 0.6885 \| 0.9656 \| 0.9034 \| 0.9497 \|
	\| 0.0103 \| 5.15 \| 850 \| 0.2382 \| 0.8009 \| 0.8296 \| 0.8150 \| 0.6877 \| 0.9654 \| 0.9043 \| 0.9495 \|
	\| 0.0148 \| 5.21 \| 860 \| 0.2358 \| 0.8057 \| 0.8256 \| 0.8155 \| 0.6885 \| 0.9656 \| 0.9027 \| 0.9501 \|
	\| 0.0115 \| 5.27 \| 870 \| 0.2398 \| 0.8008 \| 0.8290 \| 0.8147 \| 0.6873 \| 0.9653 \| 0.9041 \| 0.9497 \|
	\| 0.0115 \| 5.33 \| 880 \| 0.2385 \| 0.8035 \| 0.8245 \| 0.8138 \| 0.6861 \| 0.9653 \| 0.9020 \| 0.9496 \|
	\| 0.0122 \| 5.39 \| 890 \| 0.2387 \| 0.7983 \| 0.8303 \| 0.8140 \| 0.6863 \| 0.9651 \| 0.9045 \| 0.9494 \|
	\| 0.0134 \| 5.45 \| 900 \| 0.2395 \| 0.8009 \| 0.8279 \| 0.8142 \| 0.6866 \| 0.9652 \| 0.9035 \| 0.9495 \|
	\| 0.0169 \| 5.52 \| 910 \| 0.2391 \| 0.8012 \| 0.8282 \| 0.8145 \| 0.6870 \| 0.9653 \| 0.9037 \| 0.9496 \|
	\| 0.0178 \| 5.58 \| 920 \| 0.2403 \| 0.7997 \| 0.8290 \| 0.8141 \| 0.6865 \| 0.9652 \| 0.9040 \| 0.9493 \|
	\| 0.0162 \| 5.64 \| 930 \| 0.2391 \| 0.8017 \| 0.8274 \| 0.8143 \| 0.6868 \| 0.9653 \| 0.9033 \| 0.9496 \|
	\| 0.0115 \| 5.7 \| 940 \| 0.2384 \| 0.8035 \| 0.8265 \| 0.8148 \| 0.6875 \| 0.9655 \| 0.9030 \| 0.9498 \|
	\| 0.0175 \| 5.76 \| 950 \| 0.2386 \| 0.8029 \| 0.8282 \| 0.8153 \| 0.6882 \| 0.9655 \| 0.9038 \| 0.9498 \|
	\| 0.0165 \| 5.82 \| 960 \| 0.2390 \| 0.8017 \| 0.8288 \| 0.8150 \| 0.6878 \| 0.9654 \| 0.9040 \| 0.9497 \|
	\| 0.0186 \| 5.88 \| 970 \| 0.2389 \| 0.8021 \| 0.8289 \| 0.8153 \| 0.6882 \| 0.9655 \| 0.9041 \| 0.9498 \|
	\| 0.0124 \| 5.94 \| 980 \| 0.2390 \| 0.8024 \| 0.8288 \| 0.8154 \| 0.6883 \| 0.9655 \| 0.9041 \| 0.9498 \|
	\| 0.0138 \| 6.0 \| 990 \| 0.2391 \| 0.8025 \| 0.8289 \| 0.8155 \| 0.6885 \| 0.9655 \| 0.9041 \| 0.9498 \|
	\| 0.0113 \| 6.06 \| 1000 \| 0.2391 \| 0.8025 \| 0.8289 \| 0.8155 \| 0.6885 \| 0.9655 \| 0.9041 \| 0.9498 \|


	### Framework versions

	- Transformers 4.34.1
	- Pytorch 2.0.1
	- Datasets 2.14.6
	- Tokenizers 0.14.1