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BERiT

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+ ---
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+ license: mit
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+ tags:
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+ - generated_from_trainer
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+ model-index:
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+ - name: BERiT_2000_custom_architecture_150_epochs_2
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+ results: []
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+ ---
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+
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+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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+ should probably proofread and complete it, then remove this comment. -->
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+
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+ # BERiT_2000_custom_architecture_150_epochs_2
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+
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+ This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 3.9594
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - learning_rate: 0.0005
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+ - train_batch_size: 8
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+ - eval_batch_size: 8
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+ - seed: 42
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+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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+ - lr_scheduler_type: linear
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+ - num_epochs: 150
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss |
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+ |:-------------:|:------:|:------:|:---------------:|
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+ | 16.8993 | 0.19 | 500 | 9.2475 |
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+ | 8.3915 | 0.39 | 1000 | 7.7350 |
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+ | 7.4677 | 0.58 | 1500 | 7.1181 |
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+ | 7.0784 | 0.77 | 2000 | 6.9253 |
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+ | 6.9002 | 0.97 | 2500 | 6.7267 |
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+ | 6.7739 | 1.16 | 3000 | 6.5888 |
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+ | 6.6467 | 1.36 | 3500 | 6.4458 |
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+ | 6.6072 | 1.55 | 4000 | 6.3651 |
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+ | 6.5561 | 1.74 | 4500 | 6.3628 |
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+ | 6.473 | 1.94 | 5000 | 6.2704 |
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+ | 6.4513 | 2.13 | 5500 | 6.2083 |
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+ | 6.4083 | 2.32 | 6000 | 6.2637 |
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+ | 6.3725 | 2.52 | 6500 | 6.2232 |
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+ | 6.3608 | 2.71 | 7000 | 6.2333 |
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+ | 6.3549 | 2.9 | 7500 | 6.2324 |
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+ | 6.3446 | 3.1 | 8000 | 6.1373 |
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+ | 6.2954 | 3.29 | 8500 | 6.2198 |
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+ | 6.3306 | 3.49 | 9000 | 6.2064 |
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+ | 6.3054 | 3.68 | 9500 | 6.1870 |
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+ | 6.3217 | 3.87 | 10000 | 6.2034 |
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+ | 6.2912 | 4.07 | 10500 | 6.1558 |
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+ | 6.2947 | 4.26 | 11000 | 6.1845 |
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+ | 6.2678 | 4.45 | 11500 | 6.1749 |
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+ | 6.2906 | 4.65 | 12000 | 6.1740 |
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+ | 6.2711 | 4.84 | 12500 | 6.1651 |
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+ | 6.2438 | 5.03 | 13000 | 6.2029 |
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+ | 6.2494 | 5.23 | 13500 | 6.1084 |
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+ | 6.2654 | 5.42 | 14000 | 6.1303 |
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+ | 6.2466 | 5.62 | 14500 | 6.0888 |
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+ | 6.2129 | 5.81 | 15000 | 6.1254 |
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+ | 6.2349 | 6.0 | 15500 | 6.1093 |
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+ | 6.2299 | 6.2 | 16000 | 6.1692 |
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+ | 6.2087 | 6.39 | 16500 | 6.1964 |
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+ | 6.225 | 6.58 | 17000 | 6.1601 |
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+ | 6.1745 | 6.78 | 17500 | 6.1896 |
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+ | 6.2082 | 6.97 | 18000 | 6.1021 |
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+ | 6.1662 | 7.16 | 18500 | 6.1706 |
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+ | 6.1706 | 7.36 | 19000 | 6.1519 |
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+ | 6.1707 | 7.55 | 19500 | 6.1407 |
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+ | 6.1954 | 7.75 | 20000 | 6.0602 |
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+ | 6.1598 | 7.94 | 20500 | 6.1527 |
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+ | 6.1795 | 8.13 | 21000 | 6.1584 |
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+ | 6.1687 | 8.33 | 21500 | 6.1264 |
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+ | 6.1998 | 8.52 | 22000 | 6.1181 |
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+ | 6.1015 | 8.71 | 22500 | 6.1166 |
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+ | 6.1631 | 8.91 | 23000 | 6.1411 |
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+ | 6.113 | 9.1 | 23500 | 6.1398 |
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+ | 6.1425 | 9.3 | 24000 | 6.1296 |
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+ | 6.1875 | 9.49 | 24500 | 6.1369 |
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+ | 6.1274 | 9.68 | 25000 | 6.1185 |
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+ | 6.166 | 9.88 | 25500 | 6.1335 |
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+ | 6.136 | 10.07 | 26000 | 6.1390 |
100
+ | 6.1415 | 10.26 | 26500 | 6.1046 |
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+ | 6.1227 | 10.46 | 27000 | 6.0651 |
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+ | 6.1453 | 10.65 | 27500 | 6.1200 |
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+ | 6.1255 | 10.84 | 28000 | 6.1144 |
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+ | 6.1348 | 11.04 | 28500 | 6.1382 |
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+ | 6.1103 | 11.23 | 29000 | 6.0815 |
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+ | 6.1053 | 11.43 | 29500 | 6.1336 |
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+ | 6.0902 | 11.62 | 30000 | 6.1034 |
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+ | 6.0874 | 11.81 | 30500 | 6.1000 |
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+ | 6.1075 | 12.01 | 31000 | 6.1143 |
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+ | 6.1184 | 12.2 | 31500 | 6.0966 |
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+ | 6.0981 | 12.39 | 32000 | 6.0657 |
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+ | 6.0878 | 12.59 | 32500 | 6.0561 |
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+ | 6.0859 | 12.78 | 33000 | 6.0949 |
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+ | 6.0735 | 12.97 | 33500 | 6.1539 |
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+ | 6.1149 | 13.17 | 34000 | 6.0670 |
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+ | 6.0798 | 13.36 | 34500 | 6.0846 |
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+ | 6.0785 | 13.56 | 35000 | 6.0809 |
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+ | 6.0645 | 13.75 | 35500 | 6.0945 |
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+ | 6.1143 | 13.94 | 36000 | 6.0755 |
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+ | 6.0516 | 14.14 | 36500 | 6.0402 |
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+ | 6.0732 | 14.33 | 37000 | 6.0379 |
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+ | 6.0502 | 14.52 | 37500 | 6.1092 |
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+ | 6.0567 | 14.72 | 38000 | 6.1039 |
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+ | 6.0535 | 14.91 | 38500 | 6.1469 |
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+ | 6.0547 | 15.1 | 39000 | 6.0764 |
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+ | 6.053 | 15.3 | 39500 | 6.0044 |
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+ | 6.0503 | 15.49 | 40000 | 6.0259 |
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+ | 6.0253 | 15.69 | 40500 | 6.0717 |
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+ | 6.0738 | 15.88 | 41000 | 6.0829 |
130
+ | 6.0515 | 16.07 | 41500 | 6.0087 |
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+ | 6.0255 | 16.27 | 42000 | 6.1112 |
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+ | 6.041 | 16.46 | 42500 | 6.0599 |
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+ | 6.024 | 16.65 | 43000 | 5.9982 |
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+ | 6.0313 | 16.85 | 43500 | 5.9979 |
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+ | 6.0008 | 17.04 | 44000 | 5.9577 |
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+ | 6.0266 | 17.23 | 44500 | 6.0224 |
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+ | 5.9931 | 17.43 | 45000 | 6.0169 |
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+ | 6.0059 | 17.62 | 45500 | 5.9380 |
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+ | 6.0306 | 17.82 | 46000 | 6.0183 |
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+ | 6.0106 | 18.01 | 46500 | 6.0202 |
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+ | 5.9917 | 18.2 | 47000 | 5.9935 |
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+ | 5.972 | 18.4 | 47500 | 5.9355 |
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+ | 5.9927 | 18.59 | 48000 | 5.9439 |
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+ | 5.9474 | 18.78 | 48500 | 5.9729 |
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+ | 5.9731 | 18.98 | 49000 | 5.9193 |
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+ | 5.9505 | 19.17 | 49500 | 5.8764 |
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+ | 5.9592 | 19.36 | 50000 | 5.9277 |
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+ | 5.9397 | 19.56 | 50500 | 5.9222 |
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+ | 5.9269 | 19.75 | 51000 | 6.0022 |
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+ | 5.9264 | 19.95 | 51500 | 5.9420 |
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+ | 5.9536 | 20.14 | 52000 | 5.9062 |
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+ | 6.0024 | 20.33 | 52500 | 5.9503 |
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+ | 5.9306 | 20.53 | 53000 | 5.9112 |
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+ | 5.9982 | 20.72 | 53500 | 5.8817 |
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+ | 5.9473 | 20.91 | 54000 | 5.8615 |
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+ | 5.9416 | 21.11 | 54500 | 5.8750 |
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+ | 5.9236 | 21.3 | 55000 | 5.9066 |
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+ | 5.9437 | 21.49 | 55500 | 5.8973 |
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+ | 5.9273 | 21.69 | 56000 | 5.8934 |
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+ | 5.9153 | 21.88 | 56500 | 5.9254 |
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+ | 5.9 | 22.08 | 57000 | 5.8704 |
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+ | 5.9256 | 22.27 | 57500 | 5.8112 |
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+ | 5.9214 | 22.46 | 58000 | 5.8734 |
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+ | 5.9199 | 22.66 | 58500 | 5.8161 |
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+ | 5.9091 | 22.85 | 59000 | 5.8455 |
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+ | 5.8885 | 23.04 | 59500 | 5.8545 |
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+ | 5.8893 | 23.24 | 60000 | 5.7981 |
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+ | 5.9021 | 23.43 | 60500 | 5.8291 |
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+ | 5.9116 | 23.63 | 61000 | 5.7875 |
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+ | 5.8841 | 23.82 | 61500 | 5.8000 |
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+ | 5.8866 | 24.01 | 62000 | 5.8010 |
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+ | 5.856 | 24.21 | 62500 | 5.8134 |
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+ | 5.8448 | 24.4 | 63000 | 5.7919 |
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+ | 5.8176 | 24.59 | 63500 | 5.7573 |
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+ | 5.8627 | 24.79 | 64000 | 5.7591 |
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+ | 5.8869 | 24.98 | 64500 | 5.7605 |
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+ | 5.8586 | 25.17 | 65000 | 5.7183 |
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+ | 5.8581 | 25.37 | 65500 | 5.8123 |
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+ | 5.8412 | 25.56 | 66000 | 5.7293 |
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+ | 5.8571 | 25.76 | 66500 | 5.7288 |
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+ | 5.8504 | 25.95 | 67000 | 5.7237 |
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+ | 5.8659 | 26.14 | 67500 | 5.7023 |
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+ | 5.8359 | 26.34 | 68000 | 5.7458 |
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+ | 5.849 | 26.53 | 68500 | 5.7599 |
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+ | 5.8431 | 26.72 | 69000 | 5.6609 |
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+ | 5.83 | 26.92 | 69500 | 5.7069 |
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+ | 5.8191 | 27.11 | 70000 | 5.6856 |
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+ | 5.8351 | 27.3 | 70500 | 5.6648 |
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+ | 5.7971 | 27.5 | 71000 | 5.6647 |
190
+ | 5.8308 | 27.69 | 71500 | 5.6541 |
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+ | 5.8455 | 27.89 | 72000 | 5.6452 |
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+ | 5.8195 | 28.08 | 72500 | 5.6658 |
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+ | 5.7869 | 28.27 | 73000 | 5.6464 |
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+ | 5.7909 | 28.47 | 73500 | 5.6338 |
195
+ | 5.7912 | 28.66 | 74000 | 5.5773 |
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+ | 5.8147 | 28.85 | 74500 | 5.6581 |
197
+ | 5.8075 | 29.05 | 75000 | 5.6271 |
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+ | 5.7556 | 29.24 | 75500 | 5.6431 |
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+ | 5.8139 | 29.43 | 76000 | 5.5595 |
200
+ | 5.7551 | 29.63 | 76500 | 5.6135 |
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+ | 5.7596 | 29.82 | 77000 | 5.6541 |
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+ | 5.7166 | 30.02 | 77500 | 5.6017 |
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+ | 5.7342 | 30.21 | 78000 | 5.5747 |
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+ | 5.7831 | 30.4 | 78500 | 5.5467 |
205
+ | 5.7635 | 30.6 | 79000 | 5.5388 |
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+ | 5.743 | 30.79 | 79500 | 5.5707 |
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+ | 5.7554 | 30.98 | 80000 | 5.5370 |
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+ | 5.6973 | 31.18 | 80500 | 5.5397 |
209
+ | 5.7183 | 31.37 | 81000 | 5.4739 |
210
+ | 5.6987 | 31.56 | 81500 | 5.5743 |
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+ | 5.7101 | 31.76 | 82000 | 5.5699 |
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+ | 5.6655 | 31.95 | 82500 | 5.5442 |
213
+ | 5.7348 | 32.15 | 83000 | 5.5049 |
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+ | 5.7121 | 32.34 | 83500 | 5.4862 |
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+ | 5.7238 | 32.53 | 84000 | 5.4584 |
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+ | 5.6962 | 32.73 | 84500 | 5.4517 |
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+ | 5.6889 | 32.92 | 85000 | 5.4671 |
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+ | 5.6692 | 33.11 | 85500 | 5.4495 |
219
+ | 5.6685 | 33.31 | 86000 | 5.4814 |
220
+ | 5.7015 | 33.5 | 86500 | 5.3577 |
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+ | 5.6877 | 33.69 | 87000 | 5.4244 |
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+ | 5.6597 | 33.89 | 87500 | 5.4211 |
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+ | 5.668 | 34.08 | 88000 | 5.4297 |
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+ | 5.6546 | 34.28 | 88500 | 5.3825 |
225
+ | 5.6239 | 34.47 | 89000 | 5.3649 |
226
+ | 5.6348 | 34.66 | 89500 | 5.3562 |
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+ | 5.6578 | 34.86 | 90000 | 5.3714 |
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+ | 5.6018 | 35.05 | 90500 | 5.3731 |
229
+ | 5.6288 | 35.24 | 91000 | 5.3219 |
230
+ | 5.643 | 35.44 | 91500 | 5.3096 |
231
+ | 5.5982 | 35.63 | 92000 | 5.3084 |
232
+ | 5.6054 | 35.82 | 92500 | 5.2815 |
233
+ | 5.5997 | 36.02 | 93000 | 5.3208 |
234
+ | 5.6203 | 36.21 | 93500 | 5.1933 |
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+ | 5.5854 | 36.41 | 94000 | 5.2836 |
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+ | 5.5906 | 36.6 | 94500 | 5.2806 |
237
+ | 5.5906 | 36.79 | 95000 | 5.2381 |
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+ | 5.5284 | 36.99 | 95500 | 5.2542 |
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+ | 5.5303 | 37.18 | 96000 | 5.2539 |
240
+ | 5.5577 | 37.37 | 96500 | 5.1980 |
241
+ | 5.5835 | 37.57 | 97000 | 5.1736 |
242
+ | 5.5526 | 37.76 | 97500 | 5.1583 |
243
+ | 5.546 | 37.96 | 98000 | 5.1453 |
244
+ | 5.5525 | 38.15 | 98500 | 5.1739 |
245
+ | 5.5167 | 38.34 | 99000 | 5.1741 |
246
+ | 5.5392 | 38.54 | 99500 | 5.1424 |
247
+ | 5.5079 | 38.73 | 100000 | 5.1309 |
248
+ | 5.506 | 38.92 | 100500 | 5.1275 |
249
+ | 5.5229 | 39.12 | 101000 | 5.0573 |
250
+ | 5.497 | 39.31 | 101500 | 5.1519 |
251
+ | 5.4899 | 39.5 | 102000 | 5.1424 |
252
+ | 5.4906 | 39.7 | 102500 | 5.0423 |
253
+ | 5.4846 | 39.89 | 103000 | 5.0278 |
254
+ | 5.4723 | 40.09 | 103500 | 5.0551 |
255
+ | 5.478 | 40.28 | 104000 | 5.0249 |
256
+ | 5.4427 | 40.47 | 104500 | 5.0610 |
257
+ | 5.4519 | 40.67 | 105000 | 5.0060 |
258
+ | 5.4495 | 40.86 | 105500 | 5.0251 |
259
+ | 5.4528 | 41.05 | 106000 | 4.9568 |
260
+ | 5.451 | 41.25 | 106500 | 4.9651 |
261
+ | 5.4204 | 41.44 | 107000 | 4.9567 |
262
+ | 5.397 | 41.63 | 107500 | 4.9859 |
263
+ | 5.4787 | 41.83 | 108000 | 5.0226 |
264
+ | 5.4346 | 42.02 | 108500 | 4.9202 |
265
+ | 5.4145 | 42.22 | 109000 | 4.8807 |
266
+ | 5.3977 | 42.41 | 109500 | 4.9241 |
267
+ | 5.3933 | 42.6 | 110000 | 4.8973 |
268
+ | 5.3976 | 42.8 | 110500 | 4.9478 |
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+ | 5.4017 | 42.99 | 111000 | 4.8495 |
270
+ | 5.3732 | 43.18 | 111500 | 4.9097 |
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+ | 5.3797 | 43.38 | 112000 | 4.8503 |
272
+ | 5.345 | 43.57 | 112500 | 4.8608 |
273
+ | 5.3764 | 43.76 | 113000 | 4.8466 |
274
+ | 5.3622 | 43.96 | 113500 | 4.8513 |
275
+ | 5.3411 | 44.15 | 114000 | 4.7642 |
276
+ | 5.3636 | 44.35 | 114500 | 4.8556 |
277
+ | 5.4052 | 44.54 | 115000 | 4.8688 |
278
+ | 5.3638 | 44.73 | 115500 | 4.8331 |
279
+ | 5.3276 | 44.93 | 116000 | 4.8542 |
280
+ | 5.3398 | 45.12 | 116500 | 4.8225 |
281
+ | 5.3728 | 45.31 | 117000 | 4.8086 |
282
+ | 5.3264 | 45.51 | 117500 | 4.8129 |
283
+ | 5.3056 | 45.7 | 118000 | 4.7709 |
284
+ | 5.3218 | 45.89 | 118500 | 4.8290 |
285
+ | 5.329 | 46.09 | 119000 | 4.7862 |
286
+ | 5.3338 | 46.28 | 119500 | 4.7639 |
287
+ | 5.3012 | 46.48 | 120000 | 4.8215 |
288
+ | 5.2766 | 46.67 | 120500 | 4.7859 |
289
+ | 5.3515 | 46.86 | 121000 | 4.7853 |
290
+ | 5.2951 | 47.06 | 121500 | 4.7290 |
291
+ | 5.2817 | 47.25 | 122000 | 4.7984 |
292
+ | 5.2876 | 47.44 | 122500 | 4.7347 |
293
+ | 5.3011 | 47.64 | 123000 | 4.7954 |
294
+ | 5.3004 | 47.83 | 123500 | 4.7051 |
295
+ | 5.2992 | 48.02 | 124000 | 4.7024 |
296
+ | 5.295 | 48.22 | 124500 | 4.6968 |
297
+ | 5.2877 | 48.41 | 125000 | 4.7779 |
298
+ | 5.2599 | 48.61 | 125500 | 4.7624 |
299
+ | 5.2432 | 48.8 | 126000 | 4.6750 |
300
+ | 5.254 | 48.99 | 126500 | 4.7020 |
301
+ | 5.2301 | 49.19 | 127000 | 4.7351 |
302
+ | 5.2373 | 49.38 | 127500 | 4.7120 |
303
+ | 5.2531 | 49.57 | 128000 | 4.7336 |
304
+ | 5.2445 | 49.77 | 128500 | 4.6670 |
305
+ | 5.2293 | 49.96 | 129000 | 4.6865 |
306
+ | 5.2601 | 50.15 | 129500 | 4.6678 |
307
+ | 5.2209 | 50.35 | 130000 | 4.7078 |
308
+ | 5.2535 | 50.54 | 130500 | 4.6525 |
309
+ | 5.2517 | 50.74 | 131000 | 4.6395 |
310
+ | 5.2493 | 50.93 | 131500 | 4.6285 |
311
+ | 5.2175 | 51.12 | 132000 | 4.6492 |
312
+ | 5.2466 | 51.32 | 132500 | 4.6801 |
313
+ | 5.2018 | 51.51 | 133000 | 4.5866 |
314
+ | 5.237 | 51.7 | 133500 | 4.6574 |
315
+ | 5.219 | 51.9 | 134000 | 4.6878 |
316
+ | 5.2029 | 52.09 | 134500 | 4.6140 |
317
+ | 5.2071 | 52.29 | 135000 | 4.6391 |
318
+ | 5.2158 | 52.48 | 135500 | 4.6660 |
319
+ | 5.1979 | 52.67 | 136000 | 4.6365 |
320
+ | 5.1744 | 52.87 | 136500 | 4.6596 |
321
+ | 5.1986 | 53.06 | 137000 | 4.5590 |
322
+ | 5.14 | 53.25 | 137500 | 4.6518 |
323
+ | 5.1526 | 53.45 | 138000 | 4.6319 |
324
+ | 5.2237 | 53.64 | 138500 | 4.5454 |
325
+ | 5.1758 | 53.83 | 139000 | 4.5736 |
326
+ | 5.1395 | 54.03 | 139500 | 4.6172 |
327
+ | 5.1433 | 54.22 | 140000 | 4.5772 |
328
+ | 5.1522 | 54.42 | 140500 | 4.5900 |
329
+ | 5.1643 | 54.61 | 141000 | 4.5464 |
330
+ | 5.173 | 54.8 | 141500 | 4.5645 |
331
+ | 5.1442 | 55.0 | 142000 | 4.5944 |
332
+ | 5.1488 | 55.19 | 142500 | 4.5675 |
333
+ | 5.1431 | 55.38 | 143000 | 4.6258 |
334
+ | 5.146 | 55.58 | 143500 | 4.5744 |
335
+ | 5.1178 | 55.77 | 144000 | 4.5584 |
336
+ | 5.1214 | 55.96 | 144500 | 4.5616 |
337
+ | 5.1717 | 56.16 | 145000 | 4.5731 |
338
+ | 5.1781 | 56.35 | 145500 | 4.5950 |
339
+ | 5.1374 | 56.55 | 146000 | 4.5213 |
340
+ | 5.1138 | 56.74 | 146500 | 4.5924 |
341
+ | 5.1025 | 56.93 | 147000 | 4.5232 |
342
+ | 5.1319 | 57.13 | 147500 | 4.5387 |
343
+ | 5.1392 | 57.32 | 148000 | 4.5114 |
344
+ | 5.0974 | 57.51 | 148500 | 4.5632 |
345
+ | 5.116 | 57.71 | 149000 | 4.4851 |
346
+ | 5.16 | 57.9 | 149500 | 4.5370 |
347
+ | 5.1488 | 58.09 | 150000 | 4.4891 |
348
+ | 5.1389 | 58.29 | 150500 | 4.5373 |
349
+ | 5.1413 | 58.48 | 151000 | 4.4960 |
350
+ | 5.0893 | 58.68 | 151500 | 4.4976 |
351
+ | 5.0912 | 58.87 | 152000 | 4.4964 |
352
+ | 5.1441 | 59.06 | 152500 | 4.5484 |
353
+ | 5.0736 | 59.26 | 153000 | 4.5156 |
354
+ | 5.1045 | 59.45 | 153500 | 4.4607 |
355
+ | 5.0997 | 59.64 | 154000 | 4.5472 |
356
+ | 5.1239 | 59.84 | 154500 | 4.5316 |
357
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358
+ | 5.1429 | 60.22 | 155500 | 4.4974 |
359
+ | 5.0855 | 60.42 | 156000 | 4.5273 |
360
+ | 5.0863 | 60.61 | 156500 | 4.5312 |
361
+ | 5.099 | 60.81 | 157000 | 4.4911 |
362
+ | 5.0858 | 61.0 | 157500 | 4.5183 |
363
+ | 5.0429 | 61.19 | 158000 | 4.4828 |
364
+ | 5.0853 | 61.39 | 158500 | 4.4607 |
365
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366
+ | 5.0908 | 61.77 | 159500 | 4.5164 |
367
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368
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369
+ | 5.0883 | 62.35 | 161000 | 4.5250 |
370
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371
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372
+ | 5.1024 | 62.94 | 162500 | 4.5277 |
373
+ | 5.0548 | 63.13 | 163000 | 4.4887 |
374
+ | 5.0638 | 63.32 | 163500 | 4.4349 |
375
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376
+ | 5.0715 | 63.71 | 164500 | 4.4279 |
377
+ | 5.0742 | 63.9 | 165000 | 4.4283 |
378
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379
+ | 5.0568 | 64.29 | 166000 | 4.4375 |
380
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381
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382
+ | 5.0536 | 64.87 | 167500 | 4.4483 |
383
+ | 5.0545 | 65.07 | 168000 | 4.4397 |
384
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385
+ | 5.0209 | 65.45 | 169000 | 4.4289 |
386
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387
+ | 5.0369 | 65.84 | 170000 | 4.4338 |
388
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389
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390
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391
+ | 5.0356 | 66.62 | 172000 | 4.4254 |
392
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393
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394
+ | 5.0484 | 67.2 | 173500 | 4.4230 |
395
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396
+ | 5.0245 | 67.58 | 174500 | 4.3675 |
397
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398
+ | 5.0199 | 67.97 | 175500 | 4.3304 |
399
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400
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401
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402
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403
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404
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405
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406
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407
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408
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409
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410
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411
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412
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413
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414
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415
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416
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417
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418
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419
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420
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421
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422
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423
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424
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425
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426
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427
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428
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429
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430
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431
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432
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433
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434
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435
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436
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437
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438
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439
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440
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441
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442
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443
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444
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445
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446
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447
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448
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449
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450
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451
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452
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453
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454
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455
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456
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457
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458
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459
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460
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461
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462
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463
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464
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465
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466
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467
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468
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469
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470
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471
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472
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473
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474
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475
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476
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477
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478
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479
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480
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481
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482
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483
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484
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485
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486
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487
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488
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489
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490
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491
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492
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493
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494
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495
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496
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497
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498
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499
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500
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501
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502
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503
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504
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505
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506
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507
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508
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509
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510
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511
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512
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513
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514
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515
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516
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517
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518
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519
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520
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521
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522
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523
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524
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525
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526
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527
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528
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529
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530
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531
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532
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533
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534
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535
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536
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537
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538
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539
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540
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541
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542
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543
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544
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545
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546
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547
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548
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549
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550
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551
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552
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553
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554
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555
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556
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557
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558
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559
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560
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561
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562
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563
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564
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565
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566
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567
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568
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569
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570
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571
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572
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573
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574
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575
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576
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577
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578
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579
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580
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581
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582
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583
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584
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585
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586
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587
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588
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589
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590
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591
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592
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593
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594
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595
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596
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597
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598
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599
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600
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601
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602
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603
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604
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605
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606
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607
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608
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609
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610
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611
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612
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613
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614
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615
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616
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617
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618
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619
+ | 4.7649 | 110.77 | 286000 | 4.0417 |
620
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621
+ | 4.7408 | 111.15 | 287000 | 4.0819 |
622
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623
+ | 4.761 | 111.54 | 288000 | 4.0778 |
624
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625
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626
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627
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628
+ | 4.7646 | 112.51 | 290500 | 4.0759 |
629
+ | 4.7454 | 112.7 | 291000 | 4.0002 |
630
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631
+ | 4.7762 | 113.09 | 292000 | 4.0634 |
632
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633
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634
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635
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636
+ | 4.7519 | 114.06 | 294500 | 4.0534 |
637
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638
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639
+ | 4.7608 | 114.64 | 296000 | 4.0556 |
640
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641
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642
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643
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644
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645
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646
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647
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648
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649
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650
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651
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652
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653
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654
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655
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656
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657
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658
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659
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660
+ | 4.7199 | 118.71 | 306500 | 4.0629 |
661
+ | 4.7077 | 118.9 | 307000 | 4.0446 |
662
+ | 4.6665 | 119.09 | 307500 | 4.0383 |
663
+ | 4.6945 | 119.29 | 308000 | 4.0579 |
664
+ | 4.7296 | 119.48 | 308500 | 3.9915 |
665
+ | 4.7361 | 119.67 | 309000 | 4.0054 |
666
+ | 4.7289 | 119.87 | 309500 | 4.0726 |
667
+ | 4.7443 | 120.06 | 310000 | 4.0040 |
668
+ | 4.7223 | 120.26 | 310500 | 4.0550 |
669
+ | 4.7697 | 120.45 | 311000 | 4.0424 |
670
+ | 4.7243 | 120.64 | 311500 | 4.0550 |
671
+ | 4.7297 | 120.84 | 312000 | 4.0420 |
672
+ | 4.6723 | 121.03 | 312500 | 4.0522 |
673
+ | 4.7026 | 121.22 | 313000 | 4.0338 |
674
+ | 4.6799 | 121.42 | 313500 | 4.0168 |
675
+ | 4.7291 | 121.61 | 314000 | 4.0116 |
676
+ | 4.6998 | 121.8 | 314500 | 4.0593 |
677
+ | 4.7411 | 122.0 | 315000 | 4.0351 |
678
+ | 4.7434 | 122.19 | 315500 | 4.0349 |
679
+ | 4.7237 | 122.39 | 316000 | 4.0538 |
680
+ | 4.6818 | 122.58 | 316500 | 4.0079 |
681
+ | 4.7335 | 122.77 | 317000 | 4.0365 |
682
+ | 4.6919 | 122.97 | 317500 | 4.0020 |
683
+ | 4.7064 | 123.16 | 318000 | 4.0620 |
684
+ | 4.7295 | 123.35 | 318500 | 4.0390 |
685
+ | 4.705 | 123.55 | 319000 | 4.0073 |
686
+ | 4.7111 | 123.74 | 319500 | 4.0642 |
687
+ | 4.7021 | 123.93 | 320000 | 4.0186 |
688
+ | 4.6881 | 124.13 | 320500 | 4.0805 |
689
+ | 4.7201 | 124.32 | 321000 | 4.0958 |
690
+ | 4.7056 | 124.52 | 321500 | 4.0073 |
691
+ | 4.7209 | 124.71 | 322000 | 3.9957 |
692
+ | 4.6757 | 124.9 | 322500 | 4.0092 |
693
+ | 4.6545 | 125.1 | 323000 | 4.0057 |
694
+ | 4.7143 | 125.29 | 323500 | 4.0287 |
695
+ | 4.6844 | 125.48 | 324000 | 4.0027 |
696
+ | 4.6987 | 125.68 | 324500 | 4.0026 |
697
+ | 4.7001 | 125.87 | 325000 | 4.0524 |
698
+ | 4.7029 | 126.07 | 325500 | 4.0579 |
699
+ | 4.714 | 126.26 | 326000 | 4.0051 |
700
+ | 4.6849 | 126.45 | 326500 | 3.9886 |
701
+ | 4.6877 | 126.65 | 327000 | 4.0584 |
702
+ | 4.6733 | 126.84 | 327500 | 4.0629 |
703
+ | 4.6593 | 127.03 | 328000 | 4.0008 |
704
+ | 4.6452 | 127.23 | 328500 | 3.9834 |
705
+ | 4.6958 | 127.42 | 329000 | 4.0001 |
706
+ | 4.7036 | 127.61 | 329500 | 4.0228 |
707
+ | 4.6909 | 127.81 | 330000 | 4.0069 |
708
+ | 4.7246 | 128.0 | 330500 | 4.0433 |
709
+ | 4.6876 | 128.2 | 331000 | 4.0111 |
710
+ | 4.6801 | 128.39 | 331500 | 4.0272 |
711
+ | 4.7007 | 128.58 | 332000 | 4.0325 |
712
+ | 4.6843 | 128.78 | 332500 | 3.9804 |
713
+ | 4.682 | 128.97 | 333000 | 4.0172 |
714
+ | 4.6821 | 129.16 | 333500 | 4.0320 |
715
+ | 4.6887 | 129.36 | 334000 | 4.0455 |
716
+ | 4.6944 | 129.55 | 334500 | 3.9796 |
717
+ | 4.6469 | 129.74 | 335000 | 4.1000 |
718
+ | 4.6873 | 129.94 | 335500 | 4.0318 |
719
+ | 4.6798 | 130.13 | 336000 | 4.0709 |
720
+ | 4.6494 | 130.33 | 336500 | 3.9781 |
721
+ | 4.6566 | 130.52 | 337000 | 3.9981 |
722
+ | 4.7216 | 130.71 | 337500 | 4.0055 |
723
+ | 4.6647 | 130.91 | 338000 | 3.9488 |
724
+ | 4.6612 | 131.1 | 338500 | 3.9682 |
725
+ | 4.6922 | 131.29 | 339000 | 3.9910 |
726
+ | 4.6761 | 131.49 | 339500 | 4.0043 |
727
+ | 4.6672 | 131.68 | 340000 | 3.9937 |
728
+ | 4.6928 | 131.87 | 340500 | 4.0283 |
729
+ | 4.6693 | 132.07 | 341000 | 4.0096 |
730
+ | 4.6942 | 132.26 | 341500 | 4.0011 |
731
+ | 4.691 | 132.46 | 342000 | 4.0289 |
732
+ | 4.6857 | 132.65 | 342500 | 3.9500 |
733
+ | 4.6876 | 132.84 | 343000 | 4.0297 |
734
+ | 4.6804 | 133.04 | 343500 | 4.0314 |
735
+ | 4.6927 | 133.23 | 344000 | 3.9571 |
736
+ | 4.6876 | 133.42 | 344500 | 3.9950 |
737
+ | 4.7275 | 133.62 | 345000 | 4.0121 |
738
+ | 4.681 | 133.81 | 345500 | 4.0388 |
739
+ | 4.6817 | 134.0 | 346000 | 3.9965 |
740
+ | 4.7165 | 134.2 | 346500 | 3.9891 |
741
+ | 4.6755 | 134.39 | 347000 | 3.9934 |
742
+ | 4.6567 | 134.59 | 347500 | 4.0267 |
743
+ | 4.6557 | 134.78 | 348000 | 4.0044 |
744
+ | 4.6978 | 134.97 | 348500 | 4.0021 |
745
+ | 4.6646 | 135.17 | 349000 | 4.0186 |
746
+ | 4.6609 | 135.36 | 349500 | 4.0095 |
747
+ | 4.6877 | 135.55 | 350000 | 3.9507 |
748
+ | 4.6848 | 135.75 | 350500 | 3.9543 |
749
+ | 4.6776 | 135.94 | 351000 | 3.9614 |
750
+ | 4.7205 | 136.13 | 351500 | 4.0096 |
751
+ | 4.7035 | 136.33 | 352000 | 3.9779 |
752
+ | 4.6469 | 136.52 | 352500 | 3.9835 |
753
+ | 4.6518 | 136.72 | 353000 | 4.0331 |
754
+ | 4.6754 | 136.91 | 353500 | 3.9843 |
755
+ | 4.6737 | 137.1 | 354000 | 4.0009 |
756
+ | 4.6342 | 137.3 | 354500 | 3.9644 |
757
+ | 4.6999 | 137.49 | 355000 | 3.9772 |
758
+ | 4.6403 | 137.68 | 355500 | 3.9567 |
759
+ | 4.6629 | 137.88 | 356000 | 4.0033 |
760
+ | 4.6712 | 138.07 | 356500 | 3.9792 |
761
+ | 4.6321 | 138.26 | 357000 | 3.9938 |
762
+ | 4.6873 | 138.46 | 357500 | 4.0331 |
763
+ | 4.679 | 138.65 | 358000 | 4.0253 |
764
+ | 4.6719 | 138.85 | 358500 | 4.0241 |
765
+ | 4.6645 | 139.04 | 359000 | 4.0020 |
766
+ | 4.6749 | 139.23 | 359500 | 3.9650 |
767
+ | 4.6669 | 139.43 | 360000 | 4.0217 |
768
+ | 4.6733 | 139.62 | 360500 | 4.0091 |
769
+ | 4.6611 | 139.81 | 361000 | 3.9784 |
770
+ | 4.6779 | 140.01 | 361500 | 3.9584 |
771
+ | 4.7099 | 140.2 | 362000 | 3.9507 |
772
+ | 4.6567 | 140.4 | 362500 | 3.9709 |
773
+ | 4.6805 | 140.59 | 363000 | 3.9759 |
774
+ | 4.6655 | 140.78 | 363500 | 4.0131 |
775
+ | 4.6893 | 140.98 | 364000 | 3.9965 |
776
+ | 4.6689 | 141.17 | 364500 | 3.9491 |
777
+ | 4.7013 | 141.36 | 365000 | 3.9650 |
778
+ | 4.6743 | 141.56 | 365500 | 4.0340 |
779
+ | 4.6474 | 141.75 | 366000 | 4.0008 |
780
+ | 4.6644 | 141.94 | 366500 | 4.0105 |
781
+ | 4.6686 | 142.14 | 367000 | 3.9689 |
782
+ | 4.6663 | 142.33 | 367500 | 3.9512 |
783
+ | 4.6423 | 142.53 | 368000 | 4.0118 |
784
+ | 4.6735 | 142.72 | 368500 | 3.9793 |
785
+ | 4.6833 | 142.91 | 369000 | 3.9959 |
786
+ | 4.6779 | 143.11 | 369500 | 3.9251 |
787
+ | 4.6554 | 143.3 | 370000 | 4.0481 |
788
+ | 4.6533 | 143.49 | 370500 | 3.9282 |
789
+ | 4.6795 | 143.69 | 371000 | 4.0121 |
790
+ | 4.672 | 143.88 | 371500 | 4.0078 |
791
+ | 4.6522 | 144.07 | 372000 | 3.9730 |
792
+ | 4.6618 | 144.27 | 372500 | 3.9770 |
793
+ | 4.6757 | 144.46 | 373000 | 3.9838 |
794
+ | 4.6691 | 144.66 | 373500 | 4.0271 |
795
+ | 4.6639 | 144.85 | 374000 | 3.9905 |
796
+ | 4.6435 | 145.04 | 374500 | 4.0280 |
797
+ | 4.6307 | 145.24 | 375000 | 3.9494 |
798
+ | 4.6427 | 145.43 | 375500 | 4.0244 |
799
+ | 4.6594 | 145.62 | 376000 | 3.9809 |
800
+ | 4.6805 | 145.82 | 376500 | 4.0207 |
801
+ | 4.6636 | 146.01 | 377000 | 3.9751 |
802
+ | 4.633 | 146.2 | 377500 | 3.9674 |
803
+ | 4.6735 | 146.4 | 378000 | 3.9990 |
804
+ | 4.6615 | 146.59 | 378500 | 4.0001 |
805
+ | 4.6876 | 146.79 | 379000 | 4.0017 |
806
+ | 4.6822 | 146.98 | 379500 | 3.9348 |
807
+ | 4.6302 | 147.17 | 380000 | 3.9466 |
808
+ | 4.6629 | 147.37 | 380500 | 3.9830 |
809
+ | 4.6714 | 147.56 | 381000 | 3.9540 |
810
+ | 4.6619 | 147.75 | 381500 | 4.0009 |
811
+ | 4.6428 | 147.95 | 382000 | 3.9482 |
812
+ | 4.6435 | 148.14 | 382500 | 3.9680 |
813
+ | 4.6693 | 148.33 | 383000 | 3.9358 |
814
+ | 4.6397 | 148.53 | 383500 | 3.9589 |
815
+ | 4.6486 | 148.72 | 384000 | 3.9680 |
816
+ | 4.656 | 148.92 | 384500 | 3.9466 |
817
+ | 4.6447 | 149.11 | 385000 | 3.9404 |
818
+ | 4.6215 | 149.3 | 385500 | 3.9649 |
819
+ | 4.7191 | 149.5 | 386000 | 3.9060 |
820
+ | 4.6238 | 149.69 | 386500 | 3.9398 |
821
+ | 4.6519 | 149.88 | 387000 | 3.9594 |
822
+
823
+
824
+ ### Framework versions
825
+
826
+ - Transformers 4.26.1
827
+ - Pytorch 1.13.1+cu116
828
+ - Datasets 2.10.1
829
+ - Tokenizers 0.13.2