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End of training

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  1. README.md +102 -101
  2. model.safetensors +1 -1
  3. tokenizer.json +10 -1
  4. training_args.bin +1 -1
README.md CHANGED
@@ -15,7 +15,7 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [EleutherAI/pythia-70m-deduped](https://huggingface.co/EleutherAI/pythia-70m-deduped) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.9229
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  ## Model description
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@@ -35,8 +35,8 @@ More information needed
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  The following hyperparameters were used during training:
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  - learning_rate: 5e-05
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- - train_batch_size: 64
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- - eval_batch_size: 64
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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: cosine
@@ -46,104 +46,105 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:------:|:----:|:---------------:|
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- | 1.4125 | 0.0101 | 19 | 1.4113 |
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- | 1.2711 | 0.0203 | 38 | 1.2734 |
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- | 1.275 | 0.0304 | 57 | 1.2185 |
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- | 1.2618 | 0.0405 | 76 | 1.1850 |
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- | 1.2098 | 0.0507 | 95 | 1.1672 |
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- | 1.1458 | 0.0608 | 114 | 1.1452 |
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- | 1.1457 | 0.0709 | 133 | 1.1275 |
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- | 1.1003 | 0.0811 | 152 | 1.1198 |
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- | 1.1089 | 0.0912 | 171 | 1.1120 |
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- | 1.1051 | 0.1013 | 190 | 1.0940 |
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- | 1.06 | 0.1115 | 209 | 1.0922 |
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- | 1.0822 | 0.1216 | 228 | 1.0840 |
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- | 1.0617 | 0.1317 | 247 | 1.0745 |
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- | 1.0888 | 0.1419 | 266 | 1.0689 |
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- | 1.0703 | 0.152 | 285 | 1.0629 |
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- | 1.0849 | 0.1621 | 304 | 1.0559 |
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- | 1.0098 | 0.1723 | 323 | 1.0513 |
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- | 1.0548 | 0.1824 | 342 | 1.0480 |
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- | 1.0344 | 0.1925 | 361 | 1.0453 |
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- | 1.1181 | 0.2027 | 380 | 1.0379 |
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- | 1.0027 | 0.2128 | 399 | 1.0370 |
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- | 0.9994 | 0.2229 | 418 | 1.0329 |
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- | 1.0089 | 0.2331 | 437 | 1.0315 |
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- | 1.1145 | 0.2432 | 456 | 1.0243 |
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- | 1.024 | 0.2533 | 475 | 1.0247 |
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- | 1.0804 | 0.2635 | 494 | 1.0207 |
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- | 1.0525 | 0.2736 | 513 | 1.0189 |
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- | 1.0473 | 0.2837 | 532 | 1.0177 |
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- | 1.0761 | 0.2939 | 551 | 1.0098 |
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- | 0.9665 | 0.304 | 570 | 1.0065 |
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- | 0.9576 | 0.3141 | 589 | 1.0043 |
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- | 1.0517 | 0.3243 | 608 | 1.0063 |
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- | 1.0393 | 0.3344 | 627 | 1.0029 |
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- | 0.9573 | 0.3445 | 646 | 1.0048 |
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- | 1.0322 | 0.3547 | 665 | 1.0001 |
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- | 1.0246 | 0.3648 | 684 | 0.9922 |
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- | 0.9412 | 0.3749 | 703 | 0.9923 |
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- | 1.0155 | 0.3851 | 722 | 0.9910 |
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- | 1.0375 | 0.3952 | 741 | 0.9849 |
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- | 0.9608 | 0.4053 | 760 | 0.9859 |
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- | 1.0077 | 0.4155 | 779 | 0.9820 |
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- | 0.9509 | 0.4256 | 798 | 0.9820 |
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- | 0.9974 | 0.4357 | 817 | 0.9802 |
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- | 0.953 | 0.4459 | 836 | 0.9789 |
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- | 0.9422 | 0.456 | 855 | 0.9756 |
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- | 0.9781 | 0.4661 | 874 | 0.9757 |
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- | 1.008 | 0.4763 | 893 | 0.9729 |
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- | 0.9776 | 0.4864 | 912 | 0.9736 |
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- | 0.996 | 0.4965 | 931 | 0.9707 |
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- | 0.9971 | 0.5067 | 950 | 0.9676 |
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- | 0.9908 | 0.5168 | 969 | 0.9668 |
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- | 0.984 | 0.5269 | 988 | 0.9627 |
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- | 0.9498 | 0.5371 | 1007 | 0.9627 |
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- | 0.9978 | 0.5472 | 1026 | 0.9590 |
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- | 0.9228 | 0.5573 | 1045 | 0.9577 |
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- | 0.9223 | 0.5675 | 1064 | 0.9579 |
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- | 0.984 | 0.5776 | 1083 | 0.9564 |
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- | 0.955 | 0.5877 | 1102 | 0.9527 |
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- | 0.9582 | 0.5979 | 1121 | 0.9519 |
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- | 0.9493 | 0.608 | 1140 | 0.9508 |
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- | 0.9451 | 0.6181 | 1159 | 0.9491 |
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- | 0.9552 | 0.6283 | 1178 | 0.9486 |
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- | 0.9433 | 0.6384 | 1197 | 0.9456 |
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- | 0.967 | 0.6485 | 1216 | 0.9451 |
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- | 0.9235 | 0.6587 | 1235 | 0.9424 |
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- | 0.9173 | 0.6688 | 1254 | 0.9433 |
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- | 0.9439 | 0.6789 | 1273 | 0.9408 |
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- | 0.97 | 0.6891 | 1292 | 0.9403 |
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- | 0.9765 | 0.6992 | 1311 | 0.9387 |
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- | 0.9627 | 0.7093 | 1330 | 0.9378 |
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- | 0.8907 | 0.7195 | 1349 | 0.9379 |
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- | 0.9282 | 0.7296 | 1368 | 0.9356 |
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- | 0.9235 | 0.7397 | 1387 | 0.9348 |
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- | 0.9221 | 0.7499 | 1406 | 0.9329 |
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- | 0.9527 | 0.76 | 1425 | 0.9322 |
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- | 0.9015 | 0.7701 | 1444 | 0.9321 |
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- | 0.9371 | 0.7803 | 1463 | 0.9309 |
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- | 0.9379 | 0.7904 | 1482 | 0.9301 |
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- | 0.9294 | 0.8005 | 1501 | 0.9299 |
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- | 0.8619 | 0.8107 | 1520 | 0.9289 |
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- | 0.9352 | 0.8208 | 1539 | 0.9283 |
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- | 0.9187 | 0.8309 | 1558 | 0.9273 |
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- | 0.9197 | 0.8411 | 1577 | 0.9274 |
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- | 0.9627 | 0.8512 | 1596 | 0.9268 |
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- | 0.9634 | 0.8613 | 1615 | 0.9259 |
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- | 0.9242 | 0.8715 | 1634 | 0.9253 |
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- | 0.937 | 0.8816 | 1653 | 0.9249 |
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- | 0.9317 | 0.8917 | 1672 | 0.9246 |
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- | 0.9478 | 0.9019 | 1691 | 0.9245 |
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- | 0.9598 | 0.912 | 1710 | 0.9241 |
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- | 0.9347 | 0.9221 | 1729 | 0.9239 |
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- | 0.9048 | 0.9323 | 1748 | 0.9234 |
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- | 0.8737 | 0.9424 | 1767 | 0.9232 |
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- | 0.9272 | 0.9525 | 1786 | 0.9231 |
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- | 0.9176 | 0.9627 | 1805 | 0.9230 |
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- | 0.946 | 0.9728 | 1824 | 0.9229 |
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- | 0.9279 | 0.9829 | 1843 | 0.9229 |
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- | 0.907 | 0.9931 | 1862 | 0.9229 |
 
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  ### Framework versions
 
15
 
16
  This model is a fine-tuned version of [EleutherAI/pythia-70m-deduped](https://huggingface.co/EleutherAI/pythia-70m-deduped) on an unknown dataset.
17
  It achieves the following results on the evaluation set:
18
+ - Loss: 0.7609
19
 
20
  ## Model description
21
 
 
35
 
36
  The following hyperparameters were used during training:
37
  - learning_rate: 5e-05
38
+ - train_batch_size: 8
39
+ - eval_batch_size: 8
40
  - seed: 42
41
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
42
  - lr_scheduler_type: cosine
 
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:------:|:----:|:---------------:|
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+ | 1.1912 | 0.0100 | 62 | 1.2654 |
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+ | 1.1714 | 0.0200 | 124 | 1.1780 |
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+ | 1.0771 | 0.0301 | 186 | 1.1419 |
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+ | 1.0829 | 0.0401 | 248 | 1.1046 |
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+ | 1.0113 | 0.0501 | 310 | 1.0850 |
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+ | 1.152 | 0.0601 | 372 | 1.0701 |
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+ | 1.0895 | 0.0701 | 434 | 1.0544 |
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+ | 0.9123 | 0.0802 | 496 | 1.0484 |
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+ | 1.0489 | 0.0902 | 558 | 1.0214 |
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+ | 1.0312 | 0.1002 | 620 | 1.0252 |
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+ | 0.9756 | 0.1102 | 682 | 1.0020 |
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+ | 1.0125 | 0.1202 | 744 | 0.9940 |
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+ | 1.0581 | 0.1303 | 806 | 0.9862 |
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+ | 1.0726 | 0.1403 | 868 | 0.9809 |
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+ | 0.9963 | 0.1503 | 930 | 0.9830 |
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+ | 0.9309 | 0.1603 | 992 | 0.9653 |
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+ | 0.8858 | 0.1703 | 1054 | 0.9538 |
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+ | 1.1137 | 0.1803 | 1116 | 0.9472 |
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+ | 0.9024 | 0.1904 | 1178 | 0.9411 |
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+ | 0.9812 | 0.2004 | 1240 | 0.9396 |
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+ | 0.9916 | 0.2104 | 1302 | 0.9254 |
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+ | 0.9509 | 0.2204 | 1364 | 0.9334 |
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+ | 0.8848 | 0.2304 | 1426 | 0.9439 |
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+ | 0.8302 | 0.2405 | 1488 | 0.9175 |
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+ | 1.0111 | 0.2505 | 1550 | 0.9158 |
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+ | 1.0273 | 0.2605 | 1612 | 0.9182 |
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+ | 0.8968 | 0.2705 | 1674 | 0.9116 |
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+ | 0.8892 | 0.2805 | 1736 | 0.9098 |
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+ | 0.7539 | 0.2906 | 1798 | 0.8896 |
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+ | 0.811 | 0.3006 | 1860 | 0.8968 |
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+ | 0.928 | 0.3106 | 1922 | 0.8875 |
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+ | 0.8163 | 0.3206 | 1984 | 0.8821 |
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+ | 0.9202 | 0.3306 | 2046 | 0.8820 |
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+ | 1.0208 | 0.3407 | 2108 | 0.8811 |
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+ | 0.8297 | 0.3507 | 2170 | 0.8823 |
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+ | 0.8213 | 0.3607 | 2232 | 0.8736 |
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+ | 0.8324 | 0.3707 | 2294 | 0.8698 |
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+ | 0.7721 | 0.3807 | 2356 | 0.8735 |
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+ | 0.9504 | 0.3908 | 2418 | 0.8705 |
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+ | 0.858 | 0.4008 | 2480 | 0.8620 |
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+ | 0.8791 | 0.4108 | 2542 | 0.8540 |
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+ | 0.8411 | 0.4208 | 2604 | 0.8606 |
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+ | 0.8845 | 0.4308 | 2666 | 0.8496 |
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+ | 0.7752 | 0.4409 | 2728 | 0.8462 |
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+ | 0.8598 | 0.4509 | 2790 | 0.8481 |
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+ | 0.7935 | 0.4609 | 2852 | 0.8412 |
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+ | 0.7352 | 0.4709 | 2914 | 0.8392 |
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+ | 0.8153 | 0.4809 | 2976 | 0.8426 |
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+ | 0.7371 | 0.4910 | 3038 | 0.8332 |
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+ | 0.7136 | 0.5010 | 3100 | 0.8300 |
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+ | 0.9777 | 0.5110 | 3162 | 0.8294 |
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+ | 0.8336 | 0.5210 | 3224 | 0.8306 |
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+ | 0.7546 | 0.5310 | 3286 | 0.8234 |
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+ | 0.8436 | 0.5410 | 3348 | 0.8237 |
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+ | 0.9316 | 0.5511 | 3410 | 0.8224 |
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+ | 0.6996 | 0.5611 | 3472 | 0.8191 |
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+ | 0.7417 | 0.5711 | 3534 | 0.8146 |
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+ | 0.8528 | 0.5811 | 3596 | 0.8110 |
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+ | 0.6861 | 0.5911 | 3658 | 0.8095 |
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+ | 0.8401 | 0.6012 | 3720 | 0.8096 |
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+ | 0.7056 | 0.6112 | 3782 | 0.8080 |
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+ | 0.8643 | 0.6212 | 3844 | 0.8004 |
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+ | 0.7575 | 0.6312 | 3906 | 0.8018 |
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+ | 0.8133 | 0.6412 | 3968 | 0.8008 |
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+ | 0.8221 | 0.6513 | 4030 | 0.7940 |
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+ | 0.8004 | 0.6613 | 4092 | 0.7948 |
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+ | 0.7002 | 0.6713 | 4154 | 0.7984 |
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+ | 0.8425 | 0.6813 | 4216 | 0.7892 |
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+ | 0.6777 | 0.6913 | 4278 | 0.7876 |
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+ | 0.9178 | 0.7014 | 4340 | 0.7865 |
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+ | 0.787 | 0.7114 | 4402 | 0.7844 |
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+ | 0.6979 | 0.7214 | 4464 | 0.7829 |
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+ | 0.7954 | 0.7314 | 4526 | 0.7825 |
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+ | 0.7937 | 0.7414 | 4588 | 0.7792 |
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+ | 0.7849 | 0.7515 | 4650 | 0.7790 |
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+ | 0.7108 | 0.7615 | 4712 | 0.7782 |
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+ | 0.831 | 0.7715 | 4774 | 0.7768 |
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+ | 0.8242 | 0.7815 | 4836 | 0.7741 |
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+ | 0.7472 | 0.7915 | 4898 | 0.7731 |
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+ | 0.8171 | 0.8016 | 4960 | 0.7732 |
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+ | 0.7857 | 0.8116 | 5022 | 0.7702 |
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+ | 0.7925 | 0.8216 | 5084 | 0.7707 |
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+ | 0.7134 | 0.8316 | 5146 | 0.7680 |
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+ | 0.8401 | 0.8416 | 5208 | 0.7686 |
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+ | 0.6919 | 0.8516 | 5270 | 0.7679 |
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+ | 0.7689 | 0.8617 | 5332 | 0.7658 |
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+ | 0.7899 | 0.8717 | 5394 | 0.7645 |
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+ | 0.8457 | 0.8817 | 5456 | 0.7639 |
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+ | 0.7738 | 0.8917 | 5518 | 0.7635 |
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+ | 0.7943 | 0.9017 | 5580 | 0.7628 |
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+ | 0.756 | 0.9118 | 5642 | 0.7625 |
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+ | 0.8021 | 0.9218 | 5704 | 0.7619 |
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+ | 0.7325 | 0.9318 | 5766 | 0.7615 |
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+ | 0.7312 | 0.9418 | 5828 | 0.7613 |
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+ | 0.8255 | 0.9518 | 5890 | 0.7613 |
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+ | 0.794 | 0.9619 | 5952 | 0.7610 |
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+ | 0.7392 | 0.9719 | 6014 | 0.7609 |
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+ | 0.841 | 0.9819 | 6076 | 0.7609 |
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+ | 0.7018 | 0.9919 | 6138 | 0.7609 |
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  ### Framework versions
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