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BertSeq

Text Classification
Transformers
Safetensors
bert
Generated from Trainer
Inference Endpoints
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ncardus/SeqClassifier

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  1. README.md +306 -21
  2. model.safetensors +1 -1
  3. training_args.bin +1 -1
README.md CHANGED
@@ -18,11 +18,11 @@ should probably proofread and complete it, then remove this comment. -->
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  This model was trained from scratch on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.6785
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- - Accuracy: 0.6
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- - F1: 0.3750
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- - Precision: 0.3
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- - Recall: 0.5
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  ## Model description
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@@ -47,27 +47,312 @@ The following hyperparameters were used during training:
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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: 5
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
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- | No log | 0.33 | 1 | 0.6900 | 0.6 | 0.3750 | 0.3 | 0.5 |
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- | No log | 0.67 | 2 | 0.6877 | 0.6 | 0.3750 | 0.3 | 0.5 |
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- | No log | 1.0 | 3 | 0.6856 | 0.6 | 0.3750 | 0.3 | 0.5 |
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- | No log | 1.33 | 4 | 0.6843 | 0.6 | 0.3750 | 0.3 | 0.5 |
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- | 0.6884 | 1.67 | 5 | 0.6829 | 0.6 | 0.3750 | 0.3 | 0.5 |
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- | 0.6884 | 2.0 | 6 | 0.6818 | 0.6 | 0.3750 | 0.3 | 0.5 |
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- | 0.6884 | 2.33 | 7 | 0.6813 | 0.6 | 0.3750 | 0.3 | 0.5 |
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- | 0.6884 | 2.67 | 8 | 0.6806 | 0.6 | 0.3750 | 0.3 | 0.5 |
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- | 0.6884 | 3.0 | 9 | 0.6801 | 0.6 | 0.3750 | 0.3 | 0.5 |
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- | 0.6811 | 3.33 | 10 | 0.6796 | 0.6 | 0.3750 | 0.3 | 0.5 |
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- | 0.6811 | 3.67 | 11 | 0.6792 | 0.6 | 0.3750 | 0.3 | 0.5 |
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- | 0.6811 | 4.0 | 12 | 0.6789 | 0.6 | 0.3750 | 0.3 | 0.5 |
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- | 0.6811 | 4.33 | 13 | 0.6787 | 0.6 | 0.3750 | 0.3 | 0.5 |
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- | 0.6811 | 4.67 | 14 | 0.6786 | 0.6 | 0.3750 | 0.3 | 0.5 |
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- | 0.6821 | 5.0 | 15 | 0.6785 | 0.6 | 0.3750 | 0.3 | 0.5 |
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ### Framework versions
 
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  This model was trained from scratch on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.2416
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+ - Accuracy: 1.0
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+ - F1: 1.0
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+ - Precision: 1.0
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+ - Recall: 1.0
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  ## Model description
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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: 100
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
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+ | No log | 0.33 | 1 | 0.6928 | 0.6 | 0.3750 | 0.3 | 0.5 |
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+ | No log | 0.67 | 2 | 0.6896 | 0.6 | 0.3750 | 0.3 | 0.5 |
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+ | No log | 1.0 | 3 | 0.6867 | 0.6 | 0.3750 | 0.3 | 0.5 |
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+ | No log | 1.33 | 4 | 0.6840 | 0.6 | 0.3750 | 0.3 | 0.5 |
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+ | 0.6922 | 1.67 | 5 | 0.6822 | 0.6 | 0.3750 | 0.3 | 0.5 |
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+ | 0.6922 | 2.0 | 6 | 0.6803 | 0.6 | 0.3750 | 0.3 | 0.5 |
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+ | 0.6922 | 2.33 | 7 | 0.6787 | 0.6 | 0.3750 | 0.3 | 0.5 |
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+ | 0.6922 | 2.67 | 8 | 0.6771 | 0.6 | 0.3750 | 0.3 | 0.5 |
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+ | 0.6922 | 3.0 | 9 | 0.6759 | 0.6 | 0.3750 | 0.3 | 0.5 |
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+ | 0.6662 | 3.33 | 10 | 0.6747 | 0.6 | 0.3750 | 0.3 | 0.5 |
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+ | 0.6662 | 3.67 | 11 | 0.6740 | 0.6 | 0.3750 | 0.3 | 0.5 |
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+ | 0.6662 | 4.0 | 12 | 0.6734 | 0.6 | 0.3750 | 0.3 | 0.5 |
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+ | 0.6662 | 4.33 | 13 | 0.6729 | 0.6 | 0.3750 | 0.3 | 0.5 |
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+ | 0.6662 | 4.67 | 14 | 0.6725 | 0.6 | 0.3750 | 0.3 | 0.5 |
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+ | 0.684 | 5.0 | 15 | 0.6720 | 0.6 | 0.3750 | 0.3 | 0.5 |
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+ | 0.684 | 5.33 | 16 | 0.6715 | 0.6 | 0.3750 | 0.3 | 0.5 |
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+ | 0.684 | 5.67 | 17 | 0.6711 | 0.6 | 0.3750 | 0.3 | 0.5 |
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+ | 0.684 | 6.0 | 18 | 0.6706 | 0.6 | 0.3750 | 0.3 | 0.5 |
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+ | 0.684 | 6.33 | 19 | 0.6702 | 0.6 | 0.3750 | 0.3 | 0.5 |
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+ | 0.6717 | 6.67 | 20 | 0.6698 | 0.6 | 0.3750 | 0.3 | 0.5 |
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+ | 0.6717 | 7.0 | 21 | 0.6695 | 0.6 | 0.3750 | 0.3 | 0.5 |
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+ | 0.6717 | 7.33 | 22 | 0.6691 | 0.6 | 0.3750 | 0.3 | 0.5 |
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+ | 0.6717 | 7.67 | 23 | 0.6687 | 0.6 | 0.3750 | 0.3 | 0.5 |
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+ | 0.6717 | 8.0 | 24 | 0.6684 | 0.6 | 0.3750 | 0.3 | 0.5 |
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+ | 0.6683 | 8.33 | 25 | 0.6681 | 0.6 | 0.3750 | 0.3 | 0.5 |
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+ | 0.6683 | 8.67 | 26 | 0.6679 | 0.6 | 0.3750 | 0.3 | 0.5 |
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+ | 0.6683 | 9.0 | 27 | 0.6676 | 0.6 | 0.3750 | 0.3 | 0.5 |
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+ | 0.6683 | 9.33 | 28 | 0.6673 | 0.6 | 0.3750 | 0.3 | 0.5 |
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+ | 0.6683 | 9.67 | 29 | 0.6670 | 0.6 | 0.3750 | 0.3 | 0.5 |
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+ | 0.6719 | 10.0 | 30 | 0.6667 | 0.6 | 0.3750 | 0.3 | 0.5 |
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+ | 0.6719 | 10.33 | 31 | 0.6663 | 0.6 | 0.3750 | 0.3 | 0.5 |
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+ | 0.6719 | 10.67 | 32 | 0.6660 | 0.6 | 0.3750 | 0.3 | 0.5 |
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+ | 0.6719 | 11.0 | 33 | 0.6656 | 0.6 | 0.3750 | 0.3 | 0.5 |
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+ | 0.6719 | 11.33 | 34 | 0.6652 | 0.6 | 0.3750 | 0.3 | 0.5 |
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+ | 0.6669 | 11.67 | 35 | 0.6647 | 0.6 | 0.3750 | 0.3 | 0.5 |
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+ | 0.6669 | 12.0 | 36 | 0.6643 | 0.6 | 0.3750 | 0.3 | 0.5 |
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+ | 0.6669 | 12.33 | 37 | 0.6637 | 0.6 | 0.3750 | 0.3 | 0.5 |
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+ | 0.6669 | 12.67 | 38 | 0.6633 | 0.6 | 0.3750 | 0.3 | 0.5 |
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+ | 0.6669 | 13.0 | 39 | 0.6627 | 0.6 | 0.3750 | 0.3 | 0.5 |
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+ | 0.6702 | 13.33 | 40 | 0.6620 | 0.6 | 0.3750 | 0.3 | 0.5 |
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+ | 0.6702 | 13.67 | 41 | 0.6613 | 0.6 | 0.3750 | 0.3 | 0.5 |
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+ | 0.6702 | 14.0 | 42 | 0.6606 | 0.6 | 0.3750 | 0.3 | 0.5 |
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+ | 0.6702 | 14.33 | 43 | 0.6599 | 0.6 | 0.3750 | 0.3 | 0.5 |
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+ | 0.6702 | 14.67 | 44 | 0.6591 | 0.6 | 0.3750 | 0.3 | 0.5 |
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+ | 0.6697 | 15.0 | 45 | 0.6582 | 0.6 | 0.3750 | 0.3 | 0.5 |
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+ | 0.6697 | 15.33 | 46 | 0.6573 | 0.6 | 0.3750 | 0.3 | 0.5 |
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+ | 0.6697 | 15.67 | 47 | 0.6562 | 0.6 | 0.3750 | 0.3 | 0.5 |
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+ | 0.6697 | 16.0 | 48 | 0.6550 | 0.6 | 0.3750 | 0.3 | 0.5 |
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+ | 0.6697 | 16.33 | 49 | 0.6538 | 0.6 | 0.3750 | 0.3 | 0.5 |
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+ | 0.6741 | 16.67 | 50 | 0.6524 | 0.6 | 0.3750 | 0.3 | 0.5 |
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+ | 0.6741 | 17.0 | 51 | 0.6509 | 0.6 | 0.3750 | 0.3 | 0.5 |
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+ | 0.6741 | 17.33 | 52 | 0.6492 | 0.6 | 0.3750 | 0.3 | 0.5 |
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+ | 0.6741 | 17.67 | 53 | 0.6473 | 0.6 | 0.3750 | 0.3 | 0.5 |
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+ | 0.6741 | 18.0 | 54 | 0.6455 | 0.6 | 0.3750 | 0.3 | 0.5 |
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+ | 0.6461 | 18.33 | 55 | 0.6437 | 0.6 | 0.3750 | 0.3 | 0.5 |
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+ | 0.6461 | 18.67 | 56 | 0.6415 | 0.6 | 0.3750 | 0.3 | 0.5 |
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+ | 0.6461 | 19.0 | 57 | 0.6392 | 0.6 | 0.3750 | 0.3 | 0.5 |
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+ | 0.6461 | 19.33 | 58 | 0.6369 | 0.6 | 0.3750 | 0.3 | 0.5 |
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+ | 0.6461 | 19.67 | 59 | 0.6343 | 0.6 | 0.3750 | 0.3 | 0.5 |
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+ | 0.6683 | 20.0 | 60 | 0.6316 | 0.6 | 0.3750 | 0.3 | 0.5 |
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+ | 0.6683 | 20.33 | 61 | 0.6284 | 0.6 | 0.3750 | 0.3 | 0.5 |
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+ | 0.6683 | 20.67 | 62 | 0.6247 | 0.6 | 0.3750 | 0.3 | 0.5 |
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+ | 0.6683 | 21.0 | 63 | 0.6218 | 0.6 | 0.3750 | 0.3 | 0.5 |
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+ | 0.6683 | 21.33 | 64 | 0.6190 | 0.6 | 0.3750 | 0.3 | 0.5 |
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+ | 0.6593 | 21.67 | 65 | 0.6155 | 0.6 | 0.3750 | 0.3 | 0.5 |
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+ | 0.6593 | 22.0 | 66 | 0.6123 | 0.6 | 0.3750 | 0.3 | 0.5 |
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+ | 0.6593 | 22.33 | 67 | 0.6101 | 0.6 | 0.3750 | 0.3 | 0.5 |
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+ | 0.6593 | 22.67 | 68 | 0.6078 | 0.6 | 0.3750 | 0.3 | 0.5 |
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+ | 0.6593 | 23.0 | 69 | 0.6048 | 0.6 | 0.3750 | 0.3 | 0.5 |
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+ | 0.6421 | 23.33 | 70 | 0.6011 | 0.6 | 0.3750 | 0.3 | 0.5 |
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+ | 0.6421 | 23.67 | 71 | 0.5971 | 0.6 | 0.3750 | 0.3 | 0.5 |
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+ | 0.6421 | 24.0 | 72 | 0.5944 | 0.6 | 0.3750 | 0.3 | 0.5 |
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+ | 0.6421 | 24.33 | 73 | 0.5911 | 0.6 | 0.3750 | 0.3 | 0.5 |
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+ | 0.6421 | 24.67 | 74 | 0.5889 | 0.6 | 0.3750 | 0.3 | 0.5 |
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+ | 0.624 | 25.0 | 75 | 0.5860 | 0.6 | 0.3750 | 0.3 | 0.5 |
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+ | 0.624 | 25.33 | 76 | 0.5812 | 0.6 | 0.3750 | 0.3 | 0.5 |
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+ | 0.624 | 25.67 | 77 | 0.5782 | 0.6 | 0.3750 | 0.3 | 0.5 |
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+ | 0.624 | 26.0 | 78 | 0.5750 | 0.6 | 0.3750 | 0.3 | 0.5 |
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+ | 0.624 | 26.33 | 79 | 0.5709 | 0.6 | 0.3750 | 0.3 | 0.5 |
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+ | 0.627 | 26.67 | 80 | 0.5681 | 0.6 | 0.3750 | 0.3 | 0.5 |
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+ | 0.627 | 27.0 | 81 | 0.5650 | 0.6 | 0.3750 | 0.3 | 0.5 |
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+ | 0.627 | 27.33 | 82 | 0.5636 | 0.6 | 0.3750 | 0.3 | 0.5 |
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+ | 0.627 | 27.67 | 83 | 0.5620 | 0.6 | 0.3750 | 0.3 | 0.5 |
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+ | 0.627 | 28.0 | 84 | 0.5583 | 0.6 | 0.3750 | 0.3 | 0.5 |
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+ | 0.6168 | 28.33 | 85 | 0.5547 | 0.6 | 0.3750 | 0.3 | 0.5 |
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+ | 0.6168 | 28.67 | 86 | 0.5513 | 0.6 | 0.3750 | 0.3 | 0.5 |
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+ | 0.6168 | 29.0 | 87 | 0.5484 | 0.6 | 0.3750 | 0.3 | 0.5 |
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+ | 0.6168 | 29.33 | 88 | 0.5475 | 0.6 | 0.3750 | 0.3 | 0.5 |
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+ | 0.6168 | 29.67 | 89 | 0.5476 | 0.6 | 0.3750 | 0.3 | 0.5 |
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+ | 0.6209 | 30.0 | 90 | 0.5454 | 0.6 | 0.3750 | 0.3 | 0.5 |
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+ | 0.6209 | 30.33 | 91 | 0.5441 | 0.6 | 0.3750 | 0.3 | 0.5 |
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+ | 0.6209 | 30.67 | 92 | 0.5407 | 0.6 | 0.3750 | 0.3 | 0.5 |
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+ | 0.6209 | 31.0 | 93 | 0.5395 | 0.6 | 0.3750 | 0.3 | 0.5 |
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+ | 0.6209 | 31.33 | 94 | 0.5401 | 0.6 | 0.3750 | 0.3 | 0.5 |
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+ | 0.598 | 31.67 | 95 | 0.5391 | 0.6 | 0.3750 | 0.3 | 0.5 |
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+ | 0.598 | 32.0 | 96 | 0.5387 | 0.6 | 0.3750 | 0.3 | 0.5 |
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+ | 0.598 | 32.33 | 97 | 0.5397 | 0.6 | 0.3750 | 0.3 | 0.5 |
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+ | 0.598 | 32.67 | 98 | 0.5414 | 0.6 | 0.3750 | 0.3 | 0.5 |
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+ | 0.598 | 33.0 | 99 | 0.5410 | 0.6 | 0.3750 | 0.3 | 0.5 |
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+ | 0.6041 | 33.33 | 100 | 0.5418 | 0.6 | 0.3750 | 0.3 | 0.5 |
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+ | 0.6041 | 33.67 | 101 | 0.5416 | 0.6 | 0.3750 | 0.3 | 0.5 |
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+ | 0.6041 | 34.0 | 102 | 0.5409 | 0.6 | 0.3750 | 0.3 | 0.5 |
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+ | 0.6041 | 34.33 | 103 | 0.5434 | 0.6 | 0.3750 | 0.3 | 0.5 |
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+ | 0.6041 | 34.67 | 104 | 0.5467 | 0.6 | 0.3750 | 0.3 | 0.5 |
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+ | 0.5836 | 35.0 | 105 | 0.5456 | 0.6 | 0.3750 | 0.3 | 0.5 |
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+ | 0.5836 | 35.33 | 106 | 0.5423 | 0.6 | 0.3750 | 0.3 | 0.5 |
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+ | 0.5836 | 35.67 | 107 | 0.5435 | 0.6 | 0.3750 | 0.3 | 0.5 |
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+ | 0.5836 | 36.0 | 108 | 0.5402 | 0.6 | 0.3750 | 0.3 | 0.5 |
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+ | 0.5836 | 36.33 | 109 | 0.5337 | 0.6 | 0.3750 | 0.3 | 0.5 |
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+ | 0.5653 | 36.67 | 110 | 0.5323 | 0.6 | 0.3750 | 0.3 | 0.5 |
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+ | 0.5653 | 37.0 | 111 | 0.5262 | 0.6 | 0.3750 | 0.3 | 0.5 |
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+ | 0.5653 | 37.33 | 112 | 0.5208 | 0.8 | 0.7619 | 0.875 | 0.75 |
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+ | 0.5653 | 37.67 | 113 | 0.5112 | 0.8 | 0.7619 | 0.875 | 0.75 |
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+ | 0.5653 | 38.0 | 114 | 0.5072 | 0.8 | 0.7619 | 0.875 | 0.75 |
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+ | 0.5618 | 38.33 | 115 | 0.5078 | 0.8 | 0.7619 | 0.875 | 0.75 |
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+ | 0.5618 | 38.67 | 116 | 0.5119 | 0.8 | 0.7619 | 0.875 | 0.75 |
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+ | 0.5618 | 39.0 | 117 | 0.5106 | 0.8 | 0.7619 | 0.875 | 0.75 |
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+ | 0.5618 | 39.33 | 118 | 0.5049 | 0.8 | 0.7619 | 0.875 | 0.75 |
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+ | 0.5618 | 39.67 | 119 | 0.5034 | 0.8 | 0.7619 | 0.875 | 0.75 |
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+ | 0.5336 | 40.0 | 120 | 0.5058 | 0.8 | 0.7619 | 0.875 | 0.75 |
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+ | 0.5336 | 40.33 | 121 | 0.5033 | 0.8 | 0.7619 | 0.875 | 0.75 |
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+ | 0.5336 | 40.67 | 122 | 0.5063 | 0.8 | 0.7619 | 0.875 | 0.75 |
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+ | 0.5336 | 41.0 | 123 | 0.5044 | 0.8 | 0.7619 | 0.875 | 0.75 |
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+ | 0.5336 | 41.33 | 124 | 0.4969 | 0.8 | 0.7619 | 0.875 | 0.75 |
180
+ | 0.4952 | 41.67 | 125 | 0.4938 | 0.8 | 0.7619 | 0.875 | 0.75 |
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+ | 0.4952 | 42.0 | 126 | 0.4849 | 0.8 | 0.7619 | 0.875 | 0.75 |
182
+ | 0.4952 | 42.33 | 127 | 0.4807 | 0.8 | 0.7619 | 0.875 | 0.75 |
183
+ | 0.4952 | 42.67 | 128 | 0.4728 | 0.8 | 0.7619 | 0.875 | 0.75 |
184
+ | 0.4952 | 43.0 | 129 | 0.4704 | 0.8 | 0.7619 | 0.875 | 0.75 |
185
+ | 0.5038 | 43.33 | 130 | 0.4708 | 0.8 | 0.7619 | 0.875 | 0.75 |
186
+ | 0.5038 | 43.67 | 131 | 0.4766 | 0.8 | 0.7619 | 0.875 | 0.75 |
187
+ | 0.5038 | 44.0 | 132 | 0.4751 | 0.8 | 0.7619 | 0.875 | 0.75 |
188
+ | 0.5038 | 44.33 | 133 | 0.4699 | 0.8 | 0.7619 | 0.875 | 0.75 |
189
+ | 0.5038 | 44.67 | 134 | 0.4578 | 0.8 | 0.7619 | 0.875 | 0.75 |
190
+ | 0.4759 | 45.0 | 135 | 0.4538 | 0.8 | 0.7619 | 0.875 | 0.75 |
191
+ | 0.4759 | 45.33 | 136 | 0.4553 | 0.8 | 0.7619 | 0.875 | 0.75 |
192
+ | 0.4759 | 45.67 | 137 | 0.4492 | 0.8 | 0.7619 | 0.875 | 0.75 |
193
+ | 0.4759 | 46.0 | 138 | 0.4494 | 0.8 | 0.7619 | 0.875 | 0.75 |
194
+ | 0.4759 | 46.33 | 139 | 0.4423 | 0.8 | 0.7619 | 0.875 | 0.75 |
195
+ | 0.4555 | 46.67 | 140 | 0.4431 | 0.8 | 0.7619 | 0.875 | 0.75 |
196
+ | 0.4555 | 47.0 | 141 | 0.4393 | 0.8 | 0.7619 | 0.875 | 0.75 |
197
+ | 0.4555 | 47.33 | 142 | 0.4406 | 0.8 | 0.7619 | 0.875 | 0.75 |
198
+ | 0.4555 | 47.67 | 143 | 0.4365 | 0.8 | 0.7619 | 0.875 | 0.75 |
199
+ | 0.4555 | 48.0 | 144 | 0.4251 | 0.8 | 0.7619 | 0.875 | 0.75 |
200
+ | 0.45 | 48.33 | 145 | 0.4091 | 0.8 | 0.7619 | 0.875 | 0.75 |
201
+ | 0.45 | 48.67 | 146 | 0.4018 | 0.8 | 0.7619 | 0.875 | 0.75 |
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+ | 0.45 | 49.0 | 147 | 0.3896 | 0.8 | 0.7619 | 0.875 | 0.75 |
203
+ | 0.45 | 49.33 | 148 | 0.3827 | 0.8 | 0.7619 | 0.875 | 0.75 |
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+ | 0.45 | 49.67 | 149 | 0.3760 | 0.8 | 0.7619 | 0.875 | 0.75 |
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+ | 0.4201 | 50.0 | 150 | 0.3682 | 0.8 | 0.7619 | 0.875 | 0.75 |
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+ | 0.4201 | 50.33 | 151 | 0.3560 | 0.8 | 0.7619 | 0.875 | 0.75 |
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+ | 0.4201 | 50.67 | 152 | 0.3501 | 0.8 | 0.7619 | 0.875 | 0.75 |
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+ | 0.4201 | 51.0 | 153 | 0.3463 | 0.8 | 0.7619 | 0.875 | 0.75 |
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+ | 0.4201 | 51.33 | 154 | 0.3483 | 0.8 | 0.7619 | 0.875 | 0.75 |
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+ | 0.3966 | 51.67 | 155 | 0.3527 | 0.8 | 0.7619 | 0.875 | 0.75 |
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+ | 0.3966 | 52.0 | 156 | 0.3620 | 0.8 | 0.7619 | 0.875 | 0.75 |
212
+ | 0.3966 | 52.33 | 157 | 0.3794 | 0.8 | 0.7619 | 0.875 | 0.75 |
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+ | 0.3966 | 52.67 | 158 | 0.4025 | 0.8 | 0.7619 | 0.875 | 0.75 |
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+ | 0.3966 | 53.0 | 159 | 0.4155 | 0.8 | 0.7619 | 0.875 | 0.75 |
215
+ | 0.4323 | 53.33 | 160 | 0.4316 | 0.8 | 0.7619 | 0.875 | 0.75 |
216
+ | 0.4323 | 53.67 | 161 | 0.4410 | 0.8 | 0.7619 | 0.875 | 0.75 |
217
+ | 0.4323 | 54.0 | 162 | 0.4420 | 0.8 | 0.7619 | 0.875 | 0.75 |
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+ | 0.4323 | 54.33 | 163 | 0.4385 | 0.8 | 0.7619 | 0.875 | 0.75 |
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+ | 0.4323 | 54.67 | 164 | 0.4395 | 0.8 | 0.7619 | 0.875 | 0.75 |
220
+ | 0.3992 | 55.0 | 165 | 0.4346 | 0.8 | 0.7619 | 0.875 | 0.75 |
221
+ | 0.3992 | 55.33 | 166 | 0.4237 | 0.8 | 0.7619 | 0.875 | 0.75 |
222
+ | 0.3992 | 55.67 | 167 | 0.4138 | 0.8 | 0.7619 | 0.875 | 0.75 |
223
+ | 0.3992 | 56.0 | 168 | 0.3953 | 0.8 | 0.7619 | 0.875 | 0.75 |
224
+ | 0.3992 | 56.33 | 169 | 0.3859 | 0.8 | 0.7619 | 0.875 | 0.75 |
225
+ | 0.3842 | 56.67 | 170 | 0.3817 | 0.8 | 0.7619 | 0.875 | 0.75 |
226
+ | 0.3842 | 57.0 | 171 | 0.3684 | 0.8 | 0.7619 | 0.875 | 0.75 |
227
+ | 0.3842 | 57.33 | 172 | 0.3648 | 0.8 | 0.7619 | 0.875 | 0.75 |
228
+ | 0.3842 | 57.67 | 173 | 0.3669 | 0.8 | 0.7619 | 0.875 | 0.75 |
229
+ | 0.3842 | 58.0 | 174 | 0.3587 | 0.8 | 0.7619 | 0.875 | 0.75 |
230
+ | 0.4392 | 58.33 | 175 | 0.3587 | 0.8 | 0.7619 | 0.875 | 0.75 |
231
+ | 0.4392 | 58.67 | 176 | 0.3507 | 0.8 | 0.7619 | 0.875 | 0.75 |
232
+ | 0.4392 | 59.0 | 177 | 0.3503 | 0.8 | 0.7619 | 0.875 | 0.75 |
233
+ | 0.4392 | 59.33 | 178 | 0.3416 | 0.8 | 0.7619 | 0.875 | 0.75 |
234
+ | 0.4392 | 59.67 | 179 | 0.3392 | 0.8 | 0.7619 | 0.875 | 0.75 |
235
+ | 0.4198 | 60.0 | 180 | 0.3477 | 0.8 | 0.7619 | 0.875 | 0.75 |
236
+ | 0.4198 | 60.33 | 181 | 0.3490 | 0.8 | 0.7619 | 0.875 | 0.75 |
237
+ | 0.4198 | 60.67 | 182 | 0.3424 | 0.8 | 0.7619 | 0.875 | 0.75 |
238
+ | 0.4198 | 61.0 | 183 | 0.3446 | 0.8 | 0.7619 | 0.875 | 0.75 |
239
+ | 0.4198 | 61.33 | 184 | 0.3550 | 0.8 | 0.7619 | 0.875 | 0.75 |
240
+ | 0.4239 | 61.67 | 185 | 0.3573 | 0.8 | 0.7619 | 0.875 | 0.75 |
241
+ | 0.4239 | 62.0 | 186 | 0.3649 | 0.8 | 0.7619 | 0.875 | 0.75 |
242
+ | 0.4239 | 62.33 | 187 | 0.3815 | 0.8 | 0.7619 | 0.875 | 0.75 |
243
+ | 0.4239 | 62.67 | 188 | 0.3888 | 0.8 | 0.7619 | 0.875 | 0.75 |
244
+ | 0.4239 | 63.0 | 189 | 0.3875 | 0.8 | 0.7619 | 0.875 | 0.75 |
245
+ | 0.383 | 63.33 | 190 | 0.3858 | 0.8 | 0.7619 | 0.875 | 0.75 |
246
+ | 0.383 | 63.67 | 191 | 0.3775 | 0.8 | 0.7619 | 0.875 | 0.75 |
247
+ | 0.383 | 64.0 | 192 | 0.3641 | 0.8 | 0.7619 | 0.875 | 0.75 |
248
+ | 0.383 | 64.33 | 193 | 0.3585 | 0.8 | 0.7619 | 0.875 | 0.75 |
249
+ | 0.383 | 64.67 | 194 | 0.3442 | 0.8 | 0.7619 | 0.875 | 0.75 |
250
+ | 0.3749 | 65.0 | 195 | 0.3255 | 0.8 | 0.7619 | 0.875 | 0.75 |
251
+ | 0.3749 | 65.33 | 196 | 0.3144 | 0.8 | 0.7619 | 0.875 | 0.75 |
252
+ | 0.3749 | 65.67 | 197 | 0.3051 | 0.8 | 0.7619 | 0.875 | 0.75 |
253
+ | 0.3749 | 66.0 | 198 | 0.2927 | 0.8 | 0.7619 | 0.875 | 0.75 |
254
+ | 0.3749 | 66.33 | 199 | 0.2865 | 1.0 | 1.0 | 1.0 | 1.0 |
255
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256
+ | 0.3882 | 67.0 | 201 | 0.2846 | 1.0 | 1.0 | 1.0 | 1.0 |
257
+ | 0.3882 | 67.33 | 202 | 0.2778 | 1.0 | 1.0 | 1.0 | 1.0 |
258
+ | 0.3882 | 67.67 | 203 | 0.2760 | 1.0 | 1.0 | 1.0 | 1.0 |
259
+ | 0.3882 | 68.0 | 204 | 0.2803 | 1.0 | 1.0 | 1.0 | 1.0 |
260
+ | 0.3758 | 68.33 | 205 | 0.2899 | 0.8 | 0.7619 | 0.875 | 0.75 |
261
+ | 0.3758 | 68.67 | 206 | 0.2941 | 0.8 | 0.7619 | 0.875 | 0.75 |
262
+ | 0.3758 | 69.0 | 207 | 0.2964 | 0.8 | 0.7619 | 0.875 | 0.75 |
263
+ | 0.3758 | 69.33 | 208 | 0.2951 | 0.8 | 0.7619 | 0.875 | 0.75 |
264
+ | 0.3758 | 69.67 | 209 | 0.2900 | 0.8 | 0.7619 | 0.875 | 0.75 |
265
+ | 0.3582 | 70.0 | 210 | 0.2908 | 0.8 | 0.7619 | 0.875 | 0.75 |
266
+ | 0.3582 | 70.33 | 211 | 0.2966 | 0.8 | 0.7619 | 0.875 | 0.75 |
267
+ | 0.3582 | 70.67 | 212 | 0.3068 | 0.8 | 0.7619 | 0.875 | 0.75 |
268
+ | 0.3582 | 71.0 | 213 | 0.3244 | 0.8 | 0.7619 | 0.875 | 0.75 |
269
+ | 0.3582 | 71.33 | 214 | 0.3448 | 0.8 | 0.7619 | 0.875 | 0.75 |
270
+ | 0.386 | 71.67 | 215 | 0.3694 | 0.8 | 0.7619 | 0.875 | 0.75 |
271
+ | 0.386 | 72.0 | 216 | 0.3827 | 0.8 | 0.7619 | 0.875 | 0.75 |
272
+ | 0.386 | 72.33 | 217 | 0.4004 | 0.8 | 0.7619 | 0.875 | 0.75 |
273
+ | 0.386 | 72.67 | 218 | 0.4089 | 0.8 | 0.7619 | 0.875 | 0.75 |
274
+ | 0.386 | 73.0 | 219 | 0.4113 | 0.8 | 0.7619 | 0.875 | 0.75 |
275
+ | 0.3845 | 73.33 | 220 | 0.4080 | 0.8 | 0.7619 | 0.875 | 0.75 |
276
+ | 0.3845 | 73.67 | 221 | 0.3983 | 0.8 | 0.7619 | 0.875 | 0.75 |
277
+ | 0.3845 | 74.0 | 222 | 0.3827 | 0.8 | 0.7619 | 0.875 | 0.75 |
278
+ | 0.3845 | 74.33 | 223 | 0.3608 | 0.8 | 0.7619 | 0.875 | 0.75 |
279
+ | 0.3845 | 74.67 | 224 | 0.3377 | 0.8 | 0.7619 | 0.875 | 0.75 |
280
+ | 0.3784 | 75.0 | 225 | 0.3223 | 0.8 | 0.7619 | 0.875 | 0.75 |
281
+ | 0.3784 | 75.33 | 226 | 0.3094 | 0.8 | 0.7619 | 0.875 | 0.75 |
282
+ | 0.3784 | 75.67 | 227 | 0.2907 | 0.8 | 0.7619 | 0.875 | 0.75 |
283
+ | 0.3784 | 76.0 | 228 | 0.2816 | 0.8 | 0.7619 | 0.875 | 0.75 |
284
+ | 0.3784 | 76.33 | 229 | 0.2690 | 1.0 | 1.0 | 1.0 | 1.0 |
285
+ | 0.3555 | 76.67 | 230 | 0.2557 | 1.0 | 1.0 | 1.0 | 1.0 |
286
+ | 0.3555 | 77.0 | 231 | 0.2435 | 1.0 | 1.0 | 1.0 | 1.0 |
287
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288
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289
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290
+ | 0.3986 | 78.33 | 235 | 0.2152 | 1.0 | 1.0 | 1.0 | 1.0 |
291
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292
+ | 0.3986 | 79.0 | 237 | 0.2132 | 1.0 | 1.0 | 1.0 | 1.0 |
293
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294
+ | 0.3986 | 79.67 | 239 | 0.2165 | 1.0 | 1.0 | 1.0 | 1.0 |
295
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296
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297
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298
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299
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300
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301
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302
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303
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304
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305
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306
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307
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308
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309
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310
+ | 0.3712 | 85.0 | 255 | 0.3594 | 0.8 | 0.7619 | 0.875 | 0.75 |
311
+ | 0.3712 | 85.33 | 256 | 0.3556 | 0.8 | 0.7619 | 0.875 | 0.75 |
312
+ | 0.3712 | 85.67 | 257 | 0.3479 | 0.8 | 0.7619 | 0.875 | 0.75 |
313
+ | 0.3712 | 86.0 | 258 | 0.3444 | 0.8 | 0.7619 | 0.875 | 0.75 |
314
+ | 0.3712 | 86.33 | 259 | 0.3405 | 0.8 | 0.7619 | 0.875 | 0.75 |
315
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316
+ | 0.3831 | 87.0 | 261 | 0.3242 | 0.8 | 0.7619 | 0.875 | 0.75 |
317
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318
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319
+ | 0.3831 | 88.0 | 264 | 0.2989 | 0.8 | 0.7619 | 0.875 | 0.75 |
320
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321
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322
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323
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324
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325
+ | 0.3891 | 90.0 | 270 | 0.2847 | 0.8 | 0.7619 | 0.875 | 0.75 |
326
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327
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328
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329
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330
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331
+ | 0.3149 | 92.0 | 276 | 0.2464 | 1.0 | 1.0 | 1.0 | 1.0 |
332
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333
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334
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335
+ | 0.3612 | 93.33 | 280 | 0.2386 | 1.0 | 1.0 | 1.0 | 1.0 |
336
+ | 0.3612 | 93.67 | 281 | 0.2370 | 1.0 | 1.0 | 1.0 | 1.0 |
337
+ | 0.3612 | 94.0 | 282 | 0.2363 | 1.0 | 1.0 | 1.0 | 1.0 |
338
+ | 0.3612 | 94.33 | 283 | 0.2354 | 1.0 | 1.0 | 1.0 | 1.0 |
339
+ | 0.3612 | 94.67 | 284 | 0.2348 | 1.0 | 1.0 | 1.0 | 1.0 |
340
+ | 0.3547 | 95.0 | 285 | 0.2350 | 1.0 | 1.0 | 1.0 | 1.0 |
341
+ | 0.3547 | 95.33 | 286 | 0.2361 | 1.0 | 1.0 | 1.0 | 1.0 |
342
+ | 0.3547 | 95.67 | 287 | 0.2362 | 1.0 | 1.0 | 1.0 | 1.0 |
343
+ | 0.3547 | 96.0 | 288 | 0.2357 | 1.0 | 1.0 | 1.0 | 1.0 |
344
+ | 0.3547 | 96.33 | 289 | 0.2347 | 1.0 | 1.0 | 1.0 | 1.0 |
345
+ | 0.3274 | 96.67 | 290 | 0.2345 | 1.0 | 1.0 | 1.0 | 1.0 |
346
+ | 0.3274 | 97.0 | 291 | 0.2346 | 1.0 | 1.0 | 1.0 | 1.0 |
347
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348
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349
+ | 0.3274 | 98.0 | 294 | 0.2370 | 1.0 | 1.0 | 1.0 | 1.0 |
350
+ | 0.3977 | 98.33 | 295 | 0.2381 | 1.0 | 1.0 | 1.0 | 1.0 |
351
+ | 0.3977 | 98.67 | 296 | 0.2391 | 1.0 | 1.0 | 1.0 | 1.0 |
352
+ | 0.3977 | 99.0 | 297 | 0.2400 | 1.0 | 1.0 | 1.0 | 1.0 |
353
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354
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355
+ | 0.3271 | 100.0 | 300 | 0.2416 | 1.0 | 1.0 | 1.0 | 1.0 |
356
 
357
 
358
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