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+ ---
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+ tags:
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+ - generated_from_trainer
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+ model-index:
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+ - name: output
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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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+ # output
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+
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+ This model is a fine-tuned version of [/home/woody/b114cb/b114cb10/zymCTRL/gpt2-large/config.json](https://huggingface.co//home/woody/b114cb/b114cb10/zymCTRL/gpt2-large/config.json) on the None dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.3014
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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: 8e-05
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+ - train_batch_size: 1
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+ - eval_batch_size: 4
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+ - seed: 42
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+ - gradient_accumulation_steps: 4
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+ - total_train_batch_size: 4
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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: 10.0
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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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+ | 3.2882 | 0.02 | 10 | 2.9581 |
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+ | 2.5059 | 0.04 | 20 | 2.3844 |
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+ | 2.3368 | 0.06 | 30 | 2.3644 |
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+ | 2.3476 | 0.08 | 40 | 2.3494 |
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+ | 2.3185 | 0.1 | 50 | 2.3697 |
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+ | 2.3468 | 0.12 | 60 | 2.3255 |
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+ | 2.262 | 0.14 | 70 | 2.2512 |
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+ | 2.1646 | 0.16 | 80 | 2.1945 |
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+ | 2.1558 | 0.18 | 90 | 2.1885 |
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+ | 2.1934 | 0.2 | 100 | 2.1483 |
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+ | 2.0855 | 0.22 | 110 | 2.1152 |
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+ | 2.0844 | 0.24 | 120 | 2.0839 |
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+ | 2.0647 | 0.26 | 130 | 2.0615 |
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+ | 1.9665 | 0.28 | 140 | 2.0330 |
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+ | 1.9761 | 0.3 | 150 | 2.0068 |
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+ | 1.9428 | 0.32 | 160 | 1.9914 |
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+ | 1.9351 | 0.34 | 170 | 1.9369 |
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+ | 1.9366 | 0.36 | 180 | 1.9139 |
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+ | 1.9548 | 0.38 | 190 | 1.8789 |
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+ | 1.9625 | 0.4 | 200 | 1.8486 |
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+ | 1.8584 | 0.42 | 210 | 1.8198 |
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+ | 1.8857 | 0.44 | 220 | 1.8118 |
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+ | 1.7574 | 0.46 | 230 | 1.7603 |
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+ | 1.8114 | 0.48 | 240 | 1.7370 |
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+ | 1.7303 | 0.5 | 250 | 1.7205 |
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+ | 1.7535 | 0.52 | 260 | 1.7124 |
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+ | 1.7775 | 0.54 | 270 | 1.7013 |
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+ | 1.685 | 0.56 | 280 | 1.6612 |
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+ | 1.5898 | 0.58 | 290 | 1.6578 |
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+ | 1.7875 | 0.6 | 300 | 1.6458 |
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+ | 1.628 | 0.62 | 310 | 1.6253 |
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+ | 1.6186 | 0.64 | 320 | 1.6195 |
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+ | 1.6899 | 0.66 | 330 | 1.6102 |
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+ | 1.5908 | 0.68 | 340 | 1.5907 |
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+ | 1.6514 | 0.7 | 350 | 1.6104 |
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+ | 1.6027 | 0.72 | 360 | 1.5766 |
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+ | 1.6319 | 0.74 | 370 | 1.5623 |
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+ | 1.6103 | 0.76 | 380 | 1.5764 |
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+ | 1.4518 | 0.78 | 390 | 1.5449 |
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+ | 1.498 | 0.8 | 400 | 1.5345 |
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+ | 1.5266 | 0.82 | 410 | 1.5413 |
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+ | 1.5622 | 0.84 | 420 | 1.5229 |
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+ | 1.4863 | 0.86 | 430 | 1.5208 |
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+ | 1.5492 | 0.88 | 440 | 1.4996 |
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+ | 1.5515 | 0.9 | 450 | 1.4857 |
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+ | 1.4799 | 0.92 | 460 | 1.4935 |
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+ | 1.4514 | 0.94 | 470 | 1.4745 |
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+ | 1.5462 | 0.96 | 480 | 1.4784 |
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+ | 1.6032 | 0.98 | 490 | 1.4911 |
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+ | 1.7418 | 1.0 | 500 | 1.4733 |
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+ | 1.4983 | 1.02 | 510 | 1.4646 |
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+ | 1.5383 | 1.04 | 520 | 1.4442 |
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+ | 1.3454 | 1.06 | 530 | 1.4332 |
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+ | 1.3128 | 1.08 | 540 | 1.4261 |
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+ | 1.5472 | 1.1 | 550 | 1.4232 |
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+ | 1.252 | 1.12 | 560 | 1.3924 |
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+ | 1.3538 | 1.14 | 570 | 1.3975 |
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+ | 1.5448 | 1.16 | 580 | 1.3915 |
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+ | 1.4016 | 1.18 | 590 | 1.4025 |
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+ | 1.3041 | 1.2 | 600 | 1.3837 |
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+ | 1.3857 | 1.22 | 610 | 1.3890 |
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+ | 1.2923 | 1.24 | 620 | 1.3452 |
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+ | 1.28 | 1.26 | 630 | 1.3492 |
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+ | 1.4052 | 1.28 | 640 | 1.3254 |
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+ | 1.3992 | 1.3 | 650 | 1.3670 |
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+ | 1.5044 | 1.32 | 660 | 1.3153 |
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+ | 1.2274 | 1.34 | 670 | 1.3142 |
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+ | 1.2392 | 1.36 | 680 | 1.3150 |
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+ | 1.365 | 1.38 | 690 | 1.2966 |
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+ | 1.3024 | 1.4 | 700 | 1.2688 |
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+ | 1.347 | 1.42 | 710 | 1.2874 |
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+ | 1.3898 | 1.44 | 720 | 1.2543 |
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+ | 1.4256 | 1.46 | 730 | 1.2397 |
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+ | 1.2566 | 1.48 | 740 | 1.2430 |
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+ | 1.2473 | 1.5 | 750 | 1.2135 |
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+ | 1.1466 | 1.52 | 760 | 1.2171 |
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+ | 1.3065 | 1.54 | 770 | 1.1897 |
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+ | 1.3033 | 1.56 | 780 | 1.1646 |
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+ | 1.1166 | 1.58 | 790 | 1.1723 |
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+ | 1.0874 | 1.6 | 800 | 1.1511 |
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+ | 1.017 | 1.62 | 810 | 1.1396 |
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+ | 1.0437 | 1.64 | 820 | 1.1016 |
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+ | 1.2206 | 1.66 | 830 | 1.0841 |
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+ | 0.9738 | 1.68 | 840 | 1.0760 |
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+ | 1.1351 | 1.7 | 850 | 1.0562 |
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+ | 1.0697 | 1.72 | 860 | 1.0556 |
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+ | 1.0296 | 1.74 | 870 | 1.0342 |
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+ | 1.0904 | 1.76 | 880 | 1.0047 |
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+ | 1.01 | 1.78 | 890 | 1.0184 |
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+ | 0.951 | 1.8 | 900 | 0.9845 |
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+ | 1.0111 | 1.82 | 910 | 0.9675 |
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+ | 1.0824 | 1.84 | 920 | 0.9759 |
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+ | 0.9745 | 1.86 | 930 | 0.9336 |
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+ | 0.8632 | 1.88 | 940 | 0.9347 |
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+ | 0.9959 | 1.9 | 950 | 0.9395 |
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+ | 0.8906 | 1.92 | 960 | 0.8965 |
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+ | 1.0552 | 1.94 | 970 | 0.8892 |
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+ | 0.8387 | 1.96 | 980 | 0.8822 |
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+ | 1.0068 | 1.98 | 990 | 0.8805 |
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+ | 1.083 | 2.0 | 1000 | 0.8490 |
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+ | 0.8407 | 2.02 | 1010 | 0.8457 |
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+ | 0.7468 | 2.04 | 1020 | 0.8285 |
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+ | 0.8421 | 2.06 | 1030 | 0.8055 |
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+ | 0.8407 | 2.08 | 1040 | 0.8160 |
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+ | 0.8126 | 2.1 | 1050 | 0.8266 |
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+ | 0.7318 | 2.12 | 1060 | 0.8151 |
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+ | 0.9142 | 2.14 | 1070 | 0.7876 |
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+ | 0.6483 | 2.16 | 1080 | 0.7866 |
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+ | 0.8092 | 2.18 | 1090 | 0.7818 |
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+ | 0.8235 | 2.2 | 1100 | 0.7708 |
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+ | 0.7062 | 2.22 | 1110 | 0.7693 |
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+ | 0.7348 | 2.24 | 1120 | 0.7875 |
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+ | 0.7507 | 2.26 | 1130 | 0.7567 |
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+ | 0.7588 | 2.28 | 1140 | 0.7565 |
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+ | 0.605 | 2.3 | 1150 | 0.7298 |
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+ | 0.8721 | 2.32 | 1160 | 0.7254 |
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+ | 0.6988 | 2.34 | 1170 | 0.7072 |
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+ | 0.6294 | 2.36 | 1180 | 0.7082 |
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+ | 0.7117 | 2.38 | 1190 | 0.7113 |
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+ | 0.8558 | 2.4 | 1200 | 0.6991 |
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+ | 0.6187 | 2.42 | 1210 | 0.6905 |
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+ | 0.6791 | 2.44 | 1220 | 0.6875 |
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+ | 0.5447 | 2.46 | 1230 | 0.6869 |
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+ | 0.7299 | 2.48 | 1240 | 0.6777 |
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+ | 0.5829 | 2.5 | 1250 | 0.6658 |
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+ | 0.6435 | 2.52 | 1260 | 0.6603 |
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+ | 0.7303 | 2.54 | 1270 | 0.6578 |
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+ | 0.7244 | 2.56 | 1280 | 0.6594 |
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+ | 0.6463 | 2.58 | 1290 | 0.6409 |
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+ | 0.7766 | 2.6 | 1300 | 0.6417 |
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+ | 0.6012 | 2.62 | 1310 | 0.6461 |
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+ | 0.5974 | 2.64 | 1320 | 0.6365 |
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+ | 0.556 | 2.66 | 1330 | 0.6301 |
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+ | 0.6369 | 2.68 | 1340 | 0.6247 |
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+ | 0.5699 | 2.7 | 1350 | 0.6163 |
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+ | 0.624 | 2.72 | 1360 | 0.6138 |
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+ | 0.6774 | 2.74 | 1370 | 0.6135 |
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+ | 0.5553 | 2.76 | 1380 | 0.6076 |
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+ | 0.604 | 2.78 | 1390 | 0.5938 |
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+ | 0.6087 | 2.8 | 1400 | 0.5956 |
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+ | 0.5935 | 2.82 | 1410 | 0.5933 |
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+ | 0.6042 | 2.84 | 1420 | 0.5911 |
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+ | 0.6425 | 2.86 | 1430 | 0.5844 |
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+ | 0.6316 | 2.88 | 1440 | 0.5745 |
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+ | 0.597 | 2.9 | 1450 | 0.5695 |
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+ | 0.5754 | 2.92 | 1460 | 0.5704 |
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+ | 0.5197 | 2.94 | 1470 | 0.5697 |
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+ | 0.6256 | 2.96 | 1480 | 0.5596 |
197
+ | 0.5818 | 2.98 | 1490 | 0.5599 |
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+ | 0.5464 | 3.01 | 1500 | 0.5565 |
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+ | 0.4616 | 3.03 | 1510 | 0.5629 |
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+ | 0.6482 | 3.05 | 1520 | 0.5529 |
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+ | 0.5356 | 3.07 | 1530 | 0.5526 |
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+ | 0.5688 | 3.09 | 1540 | 0.5528 |
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+ | 0.6018 | 3.11 | 1550 | 0.5408 |
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+ | 0.5794 | 3.13 | 1560 | 0.5371 |
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+ | 0.5443 | 3.15 | 1570 | 0.5375 |
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+ | 0.4435 | 3.17 | 1580 | 0.5345 |
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+ | 0.5087 | 3.19 | 1590 | 0.5293 |
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+ | 0.518 | 3.21 | 1600 | 0.5336 |
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+ | 0.5914 | 3.23 | 1610 | 0.5316 |
210
+ | 0.5667 | 3.25 | 1620 | 0.5254 |
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+ | 0.5218 | 3.27 | 1630 | 0.5207 |
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+ | 0.4267 | 3.29 | 1640 | 0.5270 |
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+ | 0.5839 | 3.31 | 1650 | 0.5199 |
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+ | 0.5095 | 3.33 | 1660 | 0.5268 |
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+ | 0.4616 | 3.35 | 1670 | 0.5192 |
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+ | 0.5027 | 3.37 | 1680 | 0.5106 |
217
+ | 0.441 | 3.39 | 1690 | 0.5150 |
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+ | 0.4416 | 3.41 | 1700 | 0.5156 |
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+ | 0.4411 | 3.43 | 1710 | 0.5103 |
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+ | 0.47 | 3.45 | 1720 | 0.5038 |
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+ | 0.5079 | 3.47 | 1730 | 0.5048 |
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+ | 0.3913 | 3.49 | 1740 | 0.5082 |
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+ | 0.4977 | 3.51 | 1750 | 0.4976 |
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+ | 0.5905 | 3.53 | 1760 | 0.4975 |
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+ | 0.4362 | 3.55 | 1770 | 0.4962 |
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+ | 0.4309 | 3.57 | 1780 | 0.5008 |
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+ | 0.4477 | 3.59 | 1790 | 0.4988 |
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+ | 0.4826 | 3.61 | 1800 | 0.4886 |
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+ | 0.6181 | 3.63 | 1810 | 0.4885 |
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+ | 0.4738 | 3.65 | 1820 | 0.4879 |
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+ | 0.4932 | 3.67 | 1830 | 0.4818 |
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+ | 0.4684 | 3.69 | 1840 | 0.4812 |
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+ | 0.5484 | 3.71 | 1850 | 0.4767 |
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+ | 0.5086 | 3.73 | 1860 | 0.4791 |
235
+ | 0.3548 | 3.75 | 1870 | 0.4793 |
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+ | 0.5229 | 3.77 | 1880 | 0.4765 |
237
+ | 0.4578 | 3.79 | 1890 | 0.4704 |
238
+ | 0.5277 | 3.81 | 1900 | 0.4691 |
239
+ | 0.4683 | 3.83 | 1910 | 0.4649 |
240
+ | 0.448 | 3.85 | 1920 | 0.4684 |
241
+ | 0.3752 | 3.87 | 1930 | 0.4697 |
242
+ | 0.4631 | 3.89 | 1940 | 0.4678 |
243
+ | 0.4277 | 3.91 | 1950 | 0.4608 |
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+ | 0.3646 | 3.93 | 1960 | 0.4609 |
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+ | 0.5276 | 3.95 | 1970 | 0.4543 |
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+ | 0.431 | 3.97 | 1980 | 0.4539 |
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+ | 0.5465 | 3.99 | 1990 | 0.4550 |
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+ | 0.4954 | 4.01 | 2000 | 0.4523 |
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+ | 0.4886 | 4.03 | 2010 | 0.4499 |
250
+ | 0.4898 | 4.05 | 2020 | 0.4462 |
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+ | 0.4072 | 4.07 | 2030 | 0.4479 |
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+ | 0.4565 | 4.09 | 2040 | 0.4458 |
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+ | 0.3739 | 4.11 | 2050 | 0.4475 |
254
+ | 0.4211 | 4.13 | 2060 | 0.4486 |
255
+ | 0.4048 | 4.15 | 2070 | 0.4393 |
256
+ | 0.5064 | 4.17 | 2080 | 0.4351 |
257
+ | 0.4652 | 4.19 | 2090 | 0.4379 |
258
+ | 0.4061 | 4.21 | 2100 | 0.4341 |
259
+ | 0.3784 | 4.23 | 2110 | 0.4390 |
260
+ | 0.4142 | 4.25 | 2120 | 0.4354 |
261
+ | 0.3625 | 4.27 | 2130 | 0.4415 |
262
+ | 0.3807 | 4.29 | 2140 | 0.4403 |
263
+ | 0.4154 | 4.31 | 2150 | 0.4308 |
264
+ | 0.4509 | 4.33 | 2160 | 0.4298 |
265
+ | 0.4254 | 4.35 | 2170 | 0.4239 |
266
+ | 0.4323 | 4.37 | 2180 | 0.4214 |
267
+ | 0.4359 | 4.39 | 2190 | 0.4291 |
268
+ | 0.3759 | 4.41 | 2200 | 0.4224 |
269
+ | 0.4534 | 4.43 | 2210 | 0.4225 |
270
+ | 0.4013 | 4.45 | 2220 | 0.4262 |
271
+ | 0.4331 | 4.47 | 2230 | 0.4214 |
272
+ | 0.4373 | 4.49 | 2240 | 0.4198 |
273
+ | 0.4975 | 4.51 | 2250 | 0.4236 |
274
+ | 0.423 | 4.53 | 2260 | 0.4189 |
275
+ | 0.4503 | 4.55 | 2270 | 0.4171 |
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+ | 0.3796 | 4.57 | 2280 | 0.4172 |
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+ | 0.4063 | 4.59 | 2290 | 0.4125 |
278
+ | 0.3841 | 4.61 | 2300 | 0.4119 |
279
+ | 0.2956 | 4.63 | 2310 | 0.4147 |
280
+ | 0.3486 | 4.65 | 2320 | 0.4246 |
281
+ | 0.3585 | 4.67 | 2330 | 0.4117 |
282
+ | 0.4496 | 4.69 | 2340 | 0.4091 |
283
+ | 0.399 | 4.71 | 2350 | 0.4049 |
284
+ | 0.3885 | 4.73 | 2360 | 0.4004 |
285
+ | 0.3728 | 4.75 | 2370 | 0.4003 |
286
+ | 0.2698 | 4.77 | 2380 | 0.4009 |
287
+ | 0.3799 | 4.79 | 2390 | 0.4003 |
288
+ | 0.4888 | 4.81 | 2400 | 0.3974 |
289
+ | 0.3795 | 4.83 | 2410 | 0.3995 |
290
+ | 0.4249 | 4.85 | 2420 | 0.3968 |
291
+ | 0.4635 | 4.87 | 2430 | 0.4001 |
292
+ | 0.4965 | 4.89 | 2440 | 0.3934 |
293
+ | 0.3745 | 4.91 | 2450 | 0.3987 |
294
+ | 0.3601 | 4.93 | 2460 | 0.3986 |
295
+ | 0.2878 | 4.95 | 2470 | 0.3941 |
296
+ | 0.4297 | 4.97 | 2480 | 0.3890 |
297
+ | 0.278 | 4.99 | 2490 | 0.3975 |
298
+ | 0.4509 | 5.01 | 2500 | 0.3907 |
299
+ | 0.3202 | 5.03 | 2510 | 0.3872 |
300
+ | 0.3047 | 5.05 | 2520 | 0.3956 |
301
+ | 0.2931 | 5.07 | 2530 | 0.3925 |
302
+ | 0.3487 | 5.09 | 2540 | 0.3910 |
303
+ | 0.2792 | 5.11 | 2550 | 0.3901 |
304
+ | 0.3446 | 5.13 | 2560 | 0.3873 |
305
+ | 0.3482 | 5.15 | 2570 | 0.3840 |
306
+ | 0.3464 | 5.17 | 2580 | 0.3835 |
307
+ | 0.3212 | 5.19 | 2590 | 0.3846 |
308
+ | 0.3847 | 5.21 | 2600 | 0.3819 |
309
+ | 0.3212 | 5.23 | 2610 | 0.3897 |
310
+ | 0.358 | 5.25 | 2620 | 0.3811 |
311
+ | 0.3471 | 5.27 | 2630 | 0.3805 |
312
+ | 0.3348 | 5.29 | 2640 | 0.3868 |
313
+ | 0.342 | 5.31 | 2650 | 0.3769 |
314
+ | 0.4504 | 5.33 | 2660 | 0.3774 |
315
+ | 0.2713 | 5.35 | 2670 | 0.3803 |
316
+ | 0.3848 | 5.37 | 2680 | 0.3776 |
317
+ | 0.354 | 5.39 | 2690 | 0.3758 |
318
+ | 0.3796 | 5.41 | 2700 | 0.3760 |
319
+ | 0.3654 | 5.43 | 2710 | 0.3737 |
320
+ | 0.3448 | 5.45 | 2720 | 0.3812 |
321
+ | 0.355 | 5.47 | 2730 | 0.3759 |
322
+ | 0.288 | 5.49 | 2740 | 0.3711 |
323
+ | 0.2991 | 5.51 | 2750 | 0.3691 |
324
+ | 0.3443 | 5.53 | 2760 | 0.3708 |
325
+ | 0.3374 | 5.55 | 2770 | 0.3659 |
326
+ | 0.4078 | 5.57 | 2780 | 0.3709 |
327
+ | 0.2967 | 5.59 | 2790 | 0.3683 |
328
+ | 0.3532 | 5.61 | 2800 | 0.3638 |
329
+ | 0.4123 | 5.63 | 2810 | 0.3642 |
330
+ | 0.3195 | 5.65 | 2820 | 0.3655 |
331
+ | 0.3161 | 5.67 | 2830 | 0.3599 |
332
+ | 0.4152 | 5.69 | 2840 | 0.3621 |
333
+ | 0.2802 | 5.71 | 2850 | 0.3648 |
334
+ | 0.2909 | 5.73 | 2860 | 0.3604 |
335
+ | 0.3105 | 5.75 | 2870 | 0.3604 |
336
+ | 0.3291 | 5.77 | 2880 | 0.3553 |
337
+ | 0.3916 | 5.79 | 2890 | 0.3603 |
338
+ | 0.3657 | 5.81 | 2900 | 0.3544 |
339
+ | 0.3745 | 5.83 | 2910 | 0.3559 |
340
+ | 0.3281 | 5.85 | 2920 | 0.3517 |
341
+ | 0.2892 | 5.87 | 2930 | 0.3551 |
342
+ | 0.4121 | 5.89 | 2940 | 0.3489 |
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+ | 0.2908 | 5.91 | 2950 | 0.3532 |
344
+ | 0.3677 | 5.93 | 2960 | 0.3469 |
345
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346
+ | 0.2319 | 5.97 | 2980 | 0.3497 |
347
+ | 0.2624 | 5.99 | 2990 | 0.3468 |
348
+ | 0.3324 | 6.01 | 3000 | 0.3480 |
349
+ | 0.2114 | 6.03 | 3010 | 0.3530 |
350
+ | 0.256 | 6.05 | 3020 | 0.3501 |
351
+ | 0.2716 | 6.07 | 3030 | 0.3490 |
352
+ | 0.2921 | 6.09 | 3040 | 0.3466 |
353
+ | 0.2924 | 6.11 | 3050 | 0.3531 |
354
+ | 0.3267 | 6.13 | 3060 | 0.3455 |
355
+ | 0.3488 | 6.15 | 3070 | 0.3428 |
356
+ | 0.301 | 6.17 | 3080 | 0.3455 |
357
+ | 0.2656 | 6.19 | 3090 | 0.3450 |
358
+ | 0.2377 | 6.21 | 3100 | 0.3474 |
359
+ | 0.2344 | 6.23 | 3110 | 0.3461 |
360
+ | 0.2816 | 6.25 | 3120 | 0.3489 |
361
+ | 0.2675 | 6.27 | 3130 | 0.3427 |
362
+ | 0.3315 | 6.29 | 3140 | 0.3393 |
363
+ | 0.335 | 6.31 | 3150 | 0.3406 |
364
+ | 0.2418 | 6.33 | 3160 | 0.3385 |
365
+ | 0.215 | 6.35 | 3170 | 0.3393 |
366
+ | 0.2279 | 6.37 | 3180 | 0.3427 |
367
+ | 0.2907 | 6.39 | 3190 | 0.3379 |
368
+ | 0.2184 | 6.41 | 3200 | 0.3438 |
369
+ | 0.3484 | 6.43 | 3210 | 0.3364 |
370
+ | 0.2327 | 6.45 | 3220 | 0.3406 |
371
+ | 0.2571 | 6.47 | 3230 | 0.3400 |
372
+ | 0.2864 | 6.49 | 3240 | 0.3367 |
373
+ | 0.2383 | 6.51 | 3250 | 0.3377 |
374
+ | 0.187 | 6.53 | 3260 | 0.3346 |
375
+ | 0.2453 | 6.55 | 3270 | 0.3349 |
376
+ | 0.296 | 6.57 | 3280 | 0.3339 |
377
+ | 0.2601 | 6.59 | 3290 | 0.3335 |
378
+ | 0.2927 | 6.61 | 3300 | 0.3340 |
379
+ | 0.2796 | 6.63 | 3310 | 0.3303 |
380
+ | 0.2393 | 6.65 | 3320 | 0.3351 |
381
+ | 0.2764 | 6.67 | 3330 | 0.3288 |
382
+ | 0.2547 | 6.69 | 3340 | 0.3327 |
383
+ | 0.3247 | 6.71 | 3350 | 0.3279 |
384
+ | 0.3217 | 6.73 | 3360 | 0.3283 |
385
+ | 0.2881 | 6.75 | 3370 | 0.3307 |
386
+ | 0.2897 | 6.77 | 3380 | 0.3281 |
387
+ | 0.3096 | 6.79 | 3390 | 0.3257 |
388
+ | 0.2463 | 6.81 | 3400 | 0.3244 |
389
+ | 0.2404 | 6.83 | 3410 | 0.3254 |
390
+ | 0.2907 | 6.85 | 3420 | 0.3227 |
391
+ | 0.2749 | 6.87 | 3430 | 0.3226 |
392
+ | 0.2262 | 6.89 | 3440 | 0.3226 |
393
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394
+ | 0.2764 | 6.93 | 3460 | 0.3198 |
395
+ | 0.2644 | 6.95 | 3470 | 0.3231 |
396
+ | 0.2733 | 6.97 | 3480 | 0.3188 |
397
+ | 0.2861 | 6.99 | 3490 | 0.3192 |
398
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399
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400
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+ | 0.2786 | 7.09 | 3540 | 0.3229 |
403
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404
+ | 0.1982 | 7.13 | 3560 | 0.3237 |
405
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408
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409
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411
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413
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550
+ ### Framework versions
551
+
552
+ - Transformers 4.26.1
553
+ - Pytorch 1.12.1+cu116
554
+ - Datasets 2.10.0
555
+ - Tokenizers 0.12.1
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