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--- |
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tags: |
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- generated_from_trainer |
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metrics: |
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- accuracy |
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- f1 |
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- precision |
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- recall |
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model-index: |
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- name: BertSeq |
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results: [] |
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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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# BertSeq |
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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: 0.7569 |
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- Accuracy: 0.4 |
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- F1: 0.4 |
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- Precision: 0.625 |
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- Recall: 0.625 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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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: 16 |
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- eval_batch_size: 32 |
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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 | 0.6913 | 0.8 | 0.4444 | 0.4 | 0.5 | |
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| No log | 0.67 | 2 | 0.6867 | 0.8 | 0.4444 | 0.4 | 0.5 | |
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| No log | 1.0 | 3 | 0.6792 | 0.8 | 0.4444 | 0.4 | 0.5 | |
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| No log | 1.33 | 4 | 0.6714 | 0.8 | 0.4444 | 0.4 | 0.5 | |
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| 0.6918 | 1.67 | 5 | 0.6658 | 0.8 | 0.4444 | 0.4 | 0.5 | |
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| 0.6918 | 2.0 | 6 | 0.6597 | 0.8 | 0.4444 | 0.4 | 0.5 | |
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| 0.6918 | 2.33 | 7 | 0.6529 | 0.8 | 0.4444 | 0.4 | 0.5 | |
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| 0.6918 | 2.67 | 8 | 0.6485 | 0.8 | 0.4444 | 0.4 | 0.5 | |
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| 0.6918 | 3.0 | 9 | 0.6440 | 0.8 | 0.4444 | 0.4 | 0.5 | |
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| 0.685 | 3.33 | 10 | 0.6398 | 0.8 | 0.4444 | 0.4 | 0.5 | |
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| 0.685 | 3.67 | 11 | 0.6369 | 0.8 | 0.4444 | 0.4 | 0.5 | |
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| 0.685 | 4.0 | 12 | 0.6331 | 0.8 | 0.4444 | 0.4 | 0.5 | |
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| 0.685 | 4.33 | 13 | 0.6295 | 0.8 | 0.4444 | 0.4 | 0.5 | |
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| 0.685 | 4.67 | 14 | 0.6259 | 0.8 | 0.4444 | 0.4 | 0.5 | |
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| 0.6808 | 5.0 | 15 | 0.6230 | 0.8 | 0.4444 | 0.4 | 0.5 | |
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| 0.6808 | 5.33 | 16 | 0.6205 | 0.8 | 0.4444 | 0.4 | 0.5 | |
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| 0.6808 | 5.67 | 17 | 0.6178 | 0.8 | 0.4444 | 0.4 | 0.5 | |
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| 0.6808 | 6.0 | 18 | 0.6157 | 0.8 | 0.4444 | 0.4 | 0.5 | |
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| 0.6808 | 6.33 | 19 | 0.6132 | 0.8 | 0.4444 | 0.4 | 0.5 | |
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| 0.6719 | 6.67 | 20 | 0.6102 | 0.8 | 0.4444 | 0.4 | 0.5 | |
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| 0.6719 | 7.0 | 21 | 0.6092 | 0.8 | 0.4444 | 0.4 | 0.5 | |
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| 0.6719 | 7.33 | 22 | 0.6093 | 0.8 | 0.4444 | 0.4 | 0.5 | |
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| 0.6719 | 7.67 | 23 | 0.6083 | 0.8 | 0.4444 | 0.4 | 0.5 | |
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| 0.6719 | 8.0 | 24 | 0.6076 | 0.8 | 0.4444 | 0.4 | 0.5 | |
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| 0.7038 | 8.33 | 25 | 0.6076 | 0.8 | 0.4444 | 0.4 | 0.5 | |
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| 0.7038 | 8.67 | 26 | 0.6073 | 0.8 | 0.4444 | 0.4 | 0.5 | |
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| 0.7038 | 9.0 | 27 | 0.6068 | 0.8 | 0.4444 | 0.4 | 0.5 | |
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| 0.7038 | 9.33 | 28 | 0.6073 | 0.8 | 0.4444 | 0.4 | 0.5 | |
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| 0.7038 | 9.67 | 29 | 0.6067 | 0.8 | 0.4444 | 0.4 | 0.5 | |
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| 0.6746 | 10.0 | 30 | 0.6063 | 0.8 | 0.4444 | 0.4 | 0.5 | |
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| 0.6746 | 10.33 | 31 | 0.6072 | 0.8 | 0.4444 | 0.4 | 0.5 | |
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| 0.6746 | 10.67 | 32 | 0.6077 | 0.8 | 0.4444 | 0.4 | 0.5 | |
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| 0.6746 | 11.0 | 33 | 0.6070 | 0.8 | 0.4444 | 0.4 | 0.5 | |
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| 0.6746 | 11.33 | 34 | 0.6066 | 0.8 | 0.4444 | 0.4 | 0.5 | |
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| 0.6942 | 11.67 | 35 | 0.6073 | 0.8 | 0.4444 | 0.4 | 0.5 | |
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| 0.6942 | 12.0 | 36 | 0.6068 | 0.8 | 0.4444 | 0.4 | 0.5 | |
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| 0.6942 | 12.33 | 37 | 0.6058 | 0.8 | 0.4444 | 0.4 | 0.5 | |
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| 0.6942 | 12.67 | 38 | 0.6051 | 0.8 | 0.4444 | 0.4 | 0.5 | |
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| 0.6942 | 13.0 | 39 | 0.6050 | 0.8 | 0.4444 | 0.4 | 0.5 | |
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| 0.661 | 13.33 | 40 | 0.6047 | 0.8 | 0.4444 | 0.4 | 0.5 | |
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| 0.661 | 13.67 | 41 | 0.6043 | 0.8 | 0.4444 | 0.4 | 0.5 | |
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| 0.661 | 14.0 | 42 | 0.6045 | 0.8 | 0.4444 | 0.4 | 0.5 | |
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| 0.661 | 14.33 | 43 | 0.6045 | 0.8 | 0.4444 | 0.4 | 0.5 | |
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| 0.661 | 14.67 | 44 | 0.6044 | 0.8 | 0.4444 | 0.4 | 0.5 | |
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| 0.6879 | 15.0 | 45 | 0.6049 | 0.8 | 0.4444 | 0.4 | 0.5 | |
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| 0.6879 | 15.33 | 46 | 0.6045 | 0.8 | 0.4444 | 0.4 | 0.5 | |
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| 0.6879 | 15.67 | 47 | 0.6044 | 0.8 | 0.4444 | 0.4 | 0.5 | |
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| 0.6879 | 16.0 | 48 | 0.6052 | 0.8 | 0.4444 | 0.4 | 0.5 | |
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| 0.6879 | 16.33 | 49 | 0.6054 | 0.8 | 0.4444 | 0.4 | 0.5 | |
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| 0.6766 | 16.67 | 50 | 0.6058 | 0.8 | 0.4444 | 0.4 | 0.5 | |
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| 0.6766 | 17.0 | 51 | 0.6066 | 0.8 | 0.4444 | 0.4 | 0.5 | |
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| 0.6766 | 17.33 | 52 | 0.6082 | 0.8 | 0.4444 | 0.4 | 0.5 | |
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| 0.6766 | 17.67 | 53 | 0.6095 | 0.8 | 0.4444 | 0.4 | 0.5 | |
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| 0.6766 | 18.0 | 54 | 0.6097 | 0.8 | 0.4444 | 0.4 | 0.5 | |
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| 0.691 | 18.33 | 55 | 0.6103 | 0.8 | 0.4444 | 0.4 | 0.5 | |
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| 0.691 | 18.67 | 56 | 0.6103 | 0.8 | 0.4444 | 0.4 | 0.5 | |
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| 0.691 | 19.0 | 57 | 0.6105 | 0.8 | 0.4444 | 0.4 | 0.5 | |
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| 0.691 | 19.33 | 58 | 0.6108 | 0.8 | 0.4444 | 0.4 | 0.5 | |
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| 0.691 | 19.67 | 59 | 0.6114 | 0.8 | 0.4444 | 0.4 | 0.5 | |
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| 0.6759 | 20.0 | 60 | 0.6114 | 0.8 | 0.4444 | 0.4 | 0.5 | |
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| 0.6759 | 20.33 | 61 | 0.6115 | 0.8 | 0.4444 | 0.4 | 0.5 | |
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| 0.6759 | 20.67 | 62 | 0.6110 | 0.8 | 0.4444 | 0.4 | 0.5 | |
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| 0.6759 | 21.0 | 63 | 0.6113 | 0.8 | 0.4444 | 0.4 | 0.5 | |
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| 0.6759 | 21.33 | 64 | 0.6116 | 0.8 | 0.4444 | 0.4 | 0.5 | |
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| 0.6768 | 21.67 | 65 | 0.6113 | 0.8 | 0.4444 | 0.4 | 0.5 | |
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| 0.6768 | 22.0 | 66 | 0.6117 | 0.8 | 0.4444 | 0.4 | 0.5 | |
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| 0.6768 | 22.33 | 67 | 0.6123 | 0.8 | 0.4444 | 0.4 | 0.5 | |
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| 0.6768 | 22.67 | 68 | 0.6130 | 0.8 | 0.4444 | 0.4 | 0.5 | |
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| 0.6768 | 23.0 | 69 | 0.6130 | 0.8 | 0.4444 | 0.4 | 0.5 | |
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| 0.6796 | 23.33 | 70 | 0.6124 | 0.8 | 0.4444 | 0.4 | 0.5 | |
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| 0.6796 | 23.67 | 71 | 0.6117 | 0.8 | 0.4444 | 0.4 | 0.5 | |
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| 0.6796 | 24.0 | 72 | 0.6120 | 0.8 | 0.4444 | 0.4 | 0.5 | |
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| 0.6796 | 24.33 | 73 | 0.6120 | 0.8 | 0.4444 | 0.4 | 0.5 | |
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| 0.6796 | 24.67 | 74 | 0.6128 | 0.8 | 0.4444 | 0.4 | 0.5 | |
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| 0.6877 | 25.0 | 75 | 0.6129 | 0.8 | 0.4444 | 0.4 | 0.5 | |
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| 0.6877 | 25.33 | 76 | 0.6138 | 0.8 | 0.4444 | 0.4 | 0.5 | |
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| 0.6877 | 25.67 | 77 | 0.6148 | 0.8 | 0.4444 | 0.4 | 0.5 | |
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| 0.6877 | 26.0 | 78 | 0.6147 | 0.8 | 0.4444 | 0.4 | 0.5 | |
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| 0.6877 | 26.33 | 79 | 0.6147 | 0.8 | 0.4444 | 0.4 | 0.5 | |
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| 0.6733 | 26.67 | 80 | 0.6141 | 0.8 | 0.4444 | 0.4 | 0.5 | |
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| 0.6733 | 27.0 | 81 | 0.6142 | 0.8 | 0.4444 | 0.4 | 0.5 | |
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| 0.6733 | 27.33 | 82 | 0.6140 | 0.8 | 0.4444 | 0.4 | 0.5 | |
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| 0.6733 | 27.67 | 83 | 0.6146 | 0.8 | 0.4444 | 0.4 | 0.5 | |
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| 0.6733 | 28.0 | 84 | 0.6146 | 0.8 | 0.4444 | 0.4 | 0.5 | |
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| 0.6944 | 28.33 | 85 | 0.6154 | 0.8 | 0.4444 | 0.4 | 0.5 | |
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| 0.6944 | 28.67 | 86 | 0.6155 | 0.8 | 0.4444 | 0.4 | 0.5 | |
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| 0.6944 | 29.0 | 87 | 0.6153 | 0.8 | 0.4444 | 0.4 | 0.5 | |
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| 0.6944 | 29.33 | 88 | 0.6145 | 0.8 | 0.4444 | 0.4 | 0.5 | |
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| 0.6944 | 29.67 | 89 | 0.6149 | 0.8 | 0.4444 | 0.4 | 0.5 | |
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| 0.6702 | 30.0 | 90 | 0.6147 | 0.8 | 0.4444 | 0.4 | 0.5 | |
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| 0.6702 | 30.33 | 91 | 0.6142 | 0.8 | 0.4444 | 0.4 | 0.5 | |
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| 0.6702 | 30.67 | 92 | 0.6136 | 0.8 | 0.4444 | 0.4 | 0.5 | |
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| 0.6702 | 31.0 | 93 | 0.6137 | 0.8 | 0.4444 | 0.4 | 0.5 | |
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| 0.6702 | 31.33 | 94 | 0.6146 | 0.8 | 0.4444 | 0.4 | 0.5 | |
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| 0.682 | 31.67 | 95 | 0.6147 | 0.8 | 0.4444 | 0.4 | 0.5 | |
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| 0.682 | 32.0 | 96 | 0.6147 | 0.8 | 0.4444 | 0.4 | 0.5 | |
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| 0.682 | 32.33 | 97 | 0.6143 | 0.8 | 0.4444 | 0.4 | 0.5 | |
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| 0.682 | 32.67 | 98 | 0.6145 | 0.8 | 0.4444 | 0.4 | 0.5 | |
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| 0.682 | 33.0 | 99 | 0.6144 | 0.8 | 0.4444 | 0.4 | 0.5 | |
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| 0.6794 | 33.33 | 100 | 0.6144 | 0.8 | 0.4444 | 0.4 | 0.5 | |
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| 0.6794 | 33.67 | 101 | 0.6142 | 0.8 | 0.4444 | 0.4 | 0.5 | |
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| 0.6794 | 34.0 | 102 | 0.6143 | 0.8 | 0.4444 | 0.4 | 0.5 | |
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| 0.6794 | 34.33 | 103 | 0.6145 | 0.8 | 0.4444 | 0.4 | 0.5 | |
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| 0.6794 | 34.67 | 104 | 0.6147 | 0.8 | 0.4444 | 0.4 | 0.5 | |
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| 0.6773 | 35.0 | 105 | 0.6148 | 0.8 | 0.4444 | 0.4 | 0.5 | |
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| 0.6773 | 35.33 | 106 | 0.6150 | 0.8 | 0.4444 | 0.4 | 0.5 | |
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| 0.6773 | 35.67 | 107 | 0.6163 | 0.8 | 0.4444 | 0.4 | 0.5 | |
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| 0.6773 | 36.0 | 108 | 0.6164 | 0.8 | 0.4444 | 0.4 | 0.5 | |
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| 0.6773 | 36.33 | 109 | 0.6166 | 0.8 | 0.4444 | 0.4 | 0.5 | |
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| 0.6741 | 36.67 | 110 | 0.6164 | 0.8 | 0.4444 | 0.4 | 0.5 | |
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| 0.6741 | 37.0 | 111 | 0.6164 | 0.8 | 0.4444 | 0.4 | 0.5 | |
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| 0.6741 | 37.33 | 112 | 0.6166 | 0.8 | 0.4444 | 0.4 | 0.5 | |
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| 0.6741 | 37.67 | 113 | 0.6165 | 0.8 | 0.4444 | 0.4 | 0.5 | |
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| 0.6741 | 38.0 | 114 | 0.6167 | 0.8 | 0.4444 | 0.4 | 0.5 | |
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| 0.684 | 38.33 | 115 | 0.6175 | 0.8 | 0.4444 | 0.4 | 0.5 | |
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| 0.684 | 38.67 | 116 | 0.6179 | 0.8 | 0.4444 | 0.4 | 0.5 | |
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| 0.684 | 39.0 | 117 | 0.6180 | 0.8 | 0.4444 | 0.4 | 0.5 | |
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| 0.684 | 39.33 | 118 | 0.6175 | 0.8 | 0.4444 | 0.4 | 0.5 | |
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| 0.684 | 39.67 | 119 | 0.6172 | 0.8 | 0.4444 | 0.4 | 0.5 | |
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| 0.6723 | 40.0 | 120 | 0.6179 | 0.8 | 0.4444 | 0.4 | 0.5 | |
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| 0.6723 | 40.33 | 121 | 0.6182 | 0.8 | 0.4444 | 0.4 | 0.5 | |
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| 0.6723 | 40.67 | 122 | 0.6187 | 0.8 | 0.4444 | 0.4 | 0.5 | |
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| 0.6723 | 41.0 | 123 | 0.6195 | 0.8 | 0.4444 | 0.4 | 0.5 | |
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| 0.6723 | 41.33 | 124 | 0.6205 | 0.8 | 0.4444 | 0.4 | 0.5 | |
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| 0.6877 | 41.67 | 125 | 0.6228 | 0.8 | 0.4444 | 0.4 | 0.5 | |
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| 0.6877 | 42.0 | 126 | 0.6235 | 0.8 | 0.4444 | 0.4 | 0.5 | |
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| 0.6877 | 42.33 | 127 | 0.6238 | 0.8 | 0.4444 | 0.4 | 0.5 | |
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| 0.6877 | 42.67 | 128 | 0.6240 | 0.8 | 0.4444 | 0.4 | 0.5 | |
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| 0.6877 | 43.0 | 129 | 0.6254 | 0.8 | 0.4444 | 0.4 | 0.5 | |
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| 0.6698 | 43.33 | 130 | 0.6270 | 0.8 | 0.4444 | 0.4 | 0.5 | |
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| 0.6698 | 43.67 | 131 | 0.6289 | 0.8 | 0.4444 | 0.4 | 0.5 | |
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| 0.6698 | 44.0 | 132 | 0.6307 | 0.8 | 0.4444 | 0.4 | 0.5 | |
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| 0.6698 | 44.33 | 133 | 0.6337 | 0.8 | 0.4444 | 0.4 | 0.5 | |
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| 0.6698 | 44.67 | 134 | 0.6343 | 0.8 | 0.4444 | 0.4 | 0.5 | |
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| 0.6681 | 45.0 | 135 | 0.6369 | 0.8 | 0.4444 | 0.4 | 0.5 | |
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| 0.6681 | 45.33 | 136 | 0.6400 | 0.8 | 0.4444 | 0.4 | 0.5 | |
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| 0.6681 | 45.67 | 137 | 0.6434 | 0.8 | 0.4444 | 0.4 | 0.5 | |
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| 0.6681 | 46.0 | 138 | 0.6458 | 0.8 | 0.4444 | 0.4 | 0.5 | |
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| 0.6681 | 46.33 | 139 | 0.6468 | 0.8 | 0.4444 | 0.4 | 0.5 | |
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| 0.667 | 46.67 | 140 | 0.6492 | 0.8 | 0.4444 | 0.4 | 0.5 | |
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| 0.667 | 47.0 | 141 | 0.6523 | 0.8 | 0.4444 | 0.4 | 0.5 | |
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| 0.667 | 47.33 | 142 | 0.6583 | 0.8 | 0.4444 | 0.4 | 0.5 | |
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| 0.667 | 47.67 | 143 | 0.6612 | 0.8 | 0.4444 | 0.4 | 0.5 | |
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| 0.667 | 48.0 | 144 | 0.6679 | 0.8 | 0.4444 | 0.4 | 0.5 | |
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| 0.6618 | 48.33 | 145 | 0.6742 | 0.8 | 0.4444 | 0.4 | 0.5 | |
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| 0.6618 | 48.67 | 146 | 0.6781 | 0.8 | 0.4444 | 0.4 | 0.5 | |
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| 0.6618 | 49.0 | 147 | 0.6852 | 0.8 | 0.4444 | 0.4 | 0.5 | |
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| 0.6618 | 49.33 | 148 | 0.6896 | 0.8 | 0.4444 | 0.4 | 0.5 | |
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| 0.6618 | 49.67 | 149 | 0.6971 | 0.2 | 0.1667 | 0.1 | 0.5 | |
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| 0.6611 | 50.0 | 150 | 0.7019 | 0.2 | 0.1667 | 0.1 | 0.5 | |
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| 0.6611 | 50.33 | 151 | 0.7118 | 0.2 | 0.1667 | 0.1 | 0.5 | |
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| 0.6611 | 50.67 | 152 | 0.7170 | 0.2 | 0.1667 | 0.1 | 0.5 | |
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| 0.6611 | 51.0 | 153 | 0.7179 | 0.2 | 0.1667 | 0.1 | 0.5 | |
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| 0.6611 | 51.33 | 154 | 0.7217 | 0.2 | 0.1667 | 0.1 | 0.5 | |
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| 0.6516 | 51.67 | 155 | 0.7235 | 0.2 | 0.1667 | 0.1 | 0.5 | |
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| 0.6516 | 52.0 | 156 | 0.7217 | 0.2 | 0.1667 | 0.1 | 0.5 | |
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| 0.6516 | 52.33 | 157 | 0.7202 | 0.2 | 0.1667 | 0.1 | 0.5 | |
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| 0.6516 | 52.67 | 158 | 0.7177 | 0.2 | 0.1667 | 0.1 | 0.5 | |
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| 0.6516 | 53.0 | 159 | 0.7185 | 0.2 | 0.1667 | 0.1 | 0.5 | |
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| 0.6358 | 53.33 | 160 | 0.7179 | 0.2 | 0.1667 | 0.1 | 0.5 | |
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| 0.6358 | 53.67 | 161 | 0.7165 | 0.2 | 0.1667 | 0.1 | 0.5 | |
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| 0.6358 | 54.0 | 162 | 0.7207 | 0.2 | 0.1667 | 0.1 | 0.5 | |
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| 0.6358 | 54.33 | 163 | 0.7256 | 0.2 | 0.1667 | 0.1 | 0.5 | |
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| 0.6358 | 54.67 | 164 | 0.7297 | 0.2 | 0.1667 | 0.1 | 0.5 | |
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| 0.6295 | 55.0 | 165 | 0.7336 | 0.2 | 0.1667 | 0.1 | 0.5 | |
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| 0.6295 | 55.33 | 166 | 0.7434 | 0.2 | 0.1667 | 0.1 | 0.5 | |
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| 0.6295 | 55.67 | 167 | 0.7461 | 0.2 | 0.1667 | 0.1 | 0.5 | |
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| 0.6295 | 56.0 | 168 | 0.7472 | 0.2 | 0.1667 | 0.1 | 0.5 | |
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| 0.6295 | 56.33 | 169 | 0.7446 | 0.2 | 0.1667 | 0.1 | 0.5 | |
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| 0.6182 | 56.67 | 170 | 0.7411 | 0.2 | 0.1667 | 0.1 | 0.5 | |
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| 0.6182 | 57.0 | 171 | 0.7421 | 0.2 | 0.1667 | 0.1 | 0.5 | |
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| 0.6182 | 57.33 | 172 | 0.7470 | 0.2 | 0.1667 | 0.1 | 0.5 | |
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| 0.6182 | 57.67 | 173 | 0.7480 | 0.2 | 0.1667 | 0.1 | 0.5 | |
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| 0.6182 | 58.0 | 174 | 0.7504 | 0.2 | 0.1667 | 0.1 | 0.5 | |
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| 0.6169 | 58.33 | 175 | 0.7498 | 0.2 | 0.1667 | 0.1 | 0.5 | |
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| 0.6169 | 58.67 | 176 | 0.7548 | 0.2 | 0.1667 | 0.1 | 0.5 | |
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| 0.6169 | 59.0 | 177 | 0.7550 | 0.2 | 0.1667 | 0.1 | 0.5 | |
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| 0.6169 | 59.33 | 178 | 0.7544 | 0.2 | 0.1667 | 0.1 | 0.5 | |
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| 0.6169 | 59.67 | 179 | 0.7544 | 0.2 | 0.1667 | 0.1 | 0.5 | |
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| 0.6146 | 60.0 | 180 | 0.7587 | 0.2 | 0.1667 | 0.1 | 0.5 | |
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| 0.6146 | 60.33 | 181 | 0.7656 | 0.2 | 0.1667 | 0.1 | 0.5 | |
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| 0.6146 | 60.67 | 182 | 0.7764 | 0.2 | 0.1667 | 0.1 | 0.5 | |
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| 0.6146 | 61.0 | 183 | 0.7805 | 0.2 | 0.1667 | 0.1 | 0.5 | |
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| 0.6146 | 61.33 | 184 | 0.7861 | 0.2 | 0.1667 | 0.1 | 0.5 | |
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| 0.6133 | 61.67 | 185 | 0.7938 | 0.2 | 0.1667 | 0.1 | 0.5 | |
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| 0.6133 | 62.0 | 186 | 0.7960 | 0.2 | 0.1667 | 0.1 | 0.5 | |
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| 0.6133 | 62.33 | 187 | 0.7994 | 0.2 | 0.1667 | 0.1 | 0.5 | |
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| 0.6133 | 62.67 | 188 | 0.8011 | 0.2 | 0.1667 | 0.1 | 0.5 | |
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| 0.6133 | 63.0 | 189 | 0.7986 | 0.2 | 0.1667 | 0.1 | 0.5 | |
|
| 0.5957 | 63.33 | 190 | 0.7995 | 0.2 | 0.1667 | 0.1 | 0.5 | |
|
| 0.5957 | 63.67 | 191 | 0.7967 | 0.2 | 0.1667 | 0.1 | 0.5 | |
|
| 0.5957 | 64.0 | 192 | 0.7897 | 0.2 | 0.1667 | 0.1 | 0.5 | |
|
| 0.5957 | 64.33 | 193 | 0.7878 | 0.2 | 0.1667 | 0.1 | 0.5 | |
|
| 0.5957 | 64.67 | 194 | 0.7830 | 0.2 | 0.1667 | 0.1 | 0.5 | |
|
| 0.6276 | 65.0 | 195 | 0.7744 | 0.2 | 0.1667 | 0.1 | 0.5 | |
|
| 0.6276 | 65.33 | 196 | 0.7713 | 0.2 | 0.1667 | 0.1 | 0.5 | |
|
| 0.6276 | 65.67 | 197 | 0.7645 | 0.2 | 0.1667 | 0.1 | 0.5 | |
|
| 0.6276 | 66.0 | 198 | 0.7542 | 0.2 | 0.1667 | 0.1 | 0.5 | |
|
| 0.6276 | 66.33 | 199 | 0.7457 | 0.2 | 0.1667 | 0.1 | 0.5 | |
|
| 0.5971 | 66.67 | 200 | 0.7409 | 0.2 | 0.1667 | 0.1 | 0.5 | |
|
| 0.5971 | 67.0 | 201 | 0.7327 | 0.2 | 0.1667 | 0.1 | 0.5 | |
|
| 0.5971 | 67.33 | 202 | 0.7211 | 0.2 | 0.1667 | 0.1 | 0.5 | |
|
| 0.5971 | 67.67 | 203 | 0.7144 | 0.2 | 0.1667 | 0.1 | 0.5 | |
|
| 0.5971 | 68.0 | 204 | 0.7128 | 0.2 | 0.1667 | 0.1 | 0.5 | |
|
| 0.6056 | 68.33 | 205 | 0.7151 | 0.2 | 0.1667 | 0.1 | 0.5 | |
|
| 0.6056 | 68.67 | 206 | 0.7161 | 0.2 | 0.1667 | 0.1 | 0.5 | |
|
| 0.6056 | 69.0 | 207 | 0.7132 | 0.4 | 0.4 | 0.625 | 0.625 | |
|
| 0.6056 | 69.33 | 208 | 0.7126 | 0.4 | 0.4 | 0.625 | 0.625 | |
|
| 0.6056 | 69.67 | 209 | 0.7158 | 0.4 | 0.4 | 0.625 | 0.625 | |
|
| 0.59 | 70.0 | 210 | 0.7151 | 0.4 | 0.4 | 0.625 | 0.625 | |
|
| 0.59 | 70.33 | 211 | 0.7183 | 0.2 | 0.1667 | 0.1 | 0.5 | |
|
| 0.59 | 70.67 | 212 | 0.7205 | 0.2 | 0.1667 | 0.1 | 0.5 | |
|
| 0.59 | 71.0 | 213 | 0.7192 | 0.4 | 0.4 | 0.625 | 0.625 | |
|
| 0.59 | 71.33 | 214 | 0.7219 | 0.2 | 0.1667 | 0.1 | 0.5 | |
|
| 0.6029 | 71.67 | 215 | 0.7269 | 0.2 | 0.1667 | 0.1 | 0.5 | |
|
| 0.6029 | 72.0 | 216 | 0.7280 | 0.2 | 0.1667 | 0.1 | 0.5 | |
|
| 0.6029 | 72.33 | 217 | 0.7269 | 0.2 | 0.1667 | 0.1 | 0.5 | |
|
| 0.6029 | 72.67 | 218 | 0.7251 | 0.2 | 0.1667 | 0.1 | 0.5 | |
|
| 0.6029 | 73.0 | 219 | 0.7269 | 0.2 | 0.1667 | 0.1 | 0.5 | |
|
| 0.5955 | 73.33 | 220 | 0.7311 | 0.2 | 0.1667 | 0.1 | 0.5 | |
|
| 0.5955 | 73.67 | 221 | 0.7313 | 0.2 | 0.1667 | 0.1 | 0.5 | |
|
| 0.5955 | 74.0 | 222 | 0.7350 | 0.2 | 0.1667 | 0.1 | 0.5 | |
|
| 0.5955 | 74.33 | 223 | 0.7417 | 0.2 | 0.1667 | 0.1 | 0.5 | |
|
| 0.5955 | 74.67 | 224 | 0.7507 | 0.2 | 0.1667 | 0.1 | 0.5 | |
|
| 0.5958 | 75.0 | 225 | 0.7554 | 0.2 | 0.1667 | 0.1 | 0.5 | |
|
| 0.5958 | 75.33 | 226 | 0.7612 | 0.2 | 0.1667 | 0.1 | 0.5 | |
|
| 0.5958 | 75.67 | 227 | 0.7662 | 0.2 | 0.1667 | 0.1 | 0.5 | |
|
| 0.5958 | 76.0 | 228 | 0.7698 | 0.2 | 0.1667 | 0.1 | 0.5 | |
|
| 0.5958 | 76.33 | 229 | 0.7701 | 0.2 | 0.1667 | 0.1 | 0.5 | |
|
| 0.5857 | 76.67 | 230 | 0.7687 | 0.2 | 0.1667 | 0.1 | 0.5 | |
|
| 0.5857 | 77.0 | 231 | 0.7699 | 0.2 | 0.1667 | 0.1 | 0.5 | |
|
| 0.5857 | 77.33 | 232 | 0.7739 | 0.2 | 0.1667 | 0.1 | 0.5 | |
|
| 0.5857 | 77.67 | 233 | 0.7747 | 0.2 | 0.1667 | 0.1 | 0.5 | |
|
| 0.5857 | 78.0 | 234 | 0.7752 | 0.2 | 0.1667 | 0.1 | 0.5 | |
|
| 0.5869 | 78.33 | 235 | 0.7728 | 0.2 | 0.1667 | 0.1 | 0.5 | |
|
| 0.5869 | 78.67 | 236 | 0.7735 | 0.2 | 0.1667 | 0.1 | 0.5 | |
|
| 0.5869 | 79.0 | 237 | 0.7748 | 0.2 | 0.1667 | 0.1 | 0.5 | |
|
| 0.5869 | 79.33 | 238 | 0.7786 | 0.2 | 0.1667 | 0.1 | 0.5 | |
|
| 0.5869 | 79.67 | 239 | 0.7795 | 0.2 | 0.1667 | 0.1 | 0.5 | |
|
| 0.5839 | 80.0 | 240 | 0.7808 | 0.2 | 0.1667 | 0.1 | 0.5 | |
|
| 0.5839 | 80.33 | 241 | 0.7836 | 0.2 | 0.1667 | 0.1 | 0.5 | |
|
| 0.5839 | 80.67 | 242 | 0.7859 | 0.2 | 0.1667 | 0.1 | 0.5 | |
|
| 0.5839 | 81.0 | 243 | 0.7856 | 0.2 | 0.1667 | 0.1 | 0.5 | |
|
| 0.5839 | 81.33 | 244 | 0.7836 | 0.2 | 0.1667 | 0.1 | 0.5 | |
|
| 0.5806 | 81.67 | 245 | 0.7840 | 0.2 | 0.1667 | 0.1 | 0.5 | |
|
| 0.5806 | 82.0 | 246 | 0.7821 | 0.2 | 0.1667 | 0.1 | 0.5 | |
|
| 0.5806 | 82.33 | 247 | 0.7825 | 0.2 | 0.1667 | 0.1 | 0.5 | |
|
| 0.5806 | 82.67 | 248 | 0.7837 | 0.2 | 0.1667 | 0.1 | 0.5 | |
|
| 0.5806 | 83.0 | 249 | 0.7824 | 0.2 | 0.1667 | 0.1 | 0.5 | |
|
| 0.5889 | 83.33 | 250 | 0.7799 | 0.2 | 0.1667 | 0.1 | 0.5 | |
|
| 0.5889 | 83.67 | 251 | 0.7756 | 0.2 | 0.1667 | 0.1 | 0.5 | |
|
| 0.5889 | 84.0 | 252 | 0.7739 | 0.2 | 0.1667 | 0.1 | 0.5 | |
|
| 0.5889 | 84.33 | 253 | 0.7744 | 0.2 | 0.1667 | 0.1 | 0.5 | |
|
| 0.5889 | 84.67 | 254 | 0.7732 | 0.2 | 0.1667 | 0.1 | 0.5 | |
|
| 0.5746 | 85.0 | 255 | 0.7702 | 0.2 | 0.1667 | 0.1 | 0.5 | |
|
| 0.5746 | 85.33 | 256 | 0.7656 | 0.2 | 0.1667 | 0.1 | 0.5 | |
|
| 0.5746 | 85.67 | 257 | 0.7634 | 0.2 | 0.1667 | 0.1 | 0.5 | |
|
| 0.5746 | 86.0 | 258 | 0.7635 | 0.2 | 0.1667 | 0.1 | 0.5 | |
|
| 0.5746 | 86.33 | 259 | 0.7618 | 0.2 | 0.1667 | 0.1 | 0.5 | |
|
| 0.6002 | 86.67 | 260 | 0.7619 | 0.2 | 0.1667 | 0.1 | 0.5 | |
|
| 0.6002 | 87.0 | 261 | 0.7617 | 0.2 | 0.1667 | 0.1 | 0.5 | |
|
| 0.6002 | 87.33 | 262 | 0.7598 | 0.2 | 0.1667 | 0.1 | 0.5 | |
|
| 0.6002 | 87.67 | 263 | 0.7599 | 0.2 | 0.1667 | 0.1 | 0.5 | |
|
| 0.6002 | 88.0 | 264 | 0.7585 | 0.2 | 0.1667 | 0.1 | 0.5 | |
|
| 0.569 | 88.33 | 265 | 0.7557 | 0.2 | 0.1667 | 0.1 | 0.5 | |
|
| 0.569 | 88.67 | 266 | 0.7533 | 0.2 | 0.1667 | 0.1 | 0.5 | |
|
| 0.569 | 89.0 | 267 | 0.7526 | 0.4 | 0.4 | 0.625 | 0.625 | |
|
| 0.569 | 89.33 | 268 | 0.7531 | 0.4 | 0.4 | 0.625 | 0.625 | |
|
| 0.569 | 89.67 | 269 | 0.7548 | 0.2 | 0.1667 | 0.1 | 0.5 | |
|
| 0.5593 | 90.0 | 270 | 0.7550 | 0.2 | 0.1667 | 0.1 | 0.5 | |
|
| 0.5593 | 90.33 | 271 | 0.7539 | 0.4 | 0.4 | 0.625 | 0.625 | |
|
| 0.5593 | 90.67 | 272 | 0.7541 | 0.4 | 0.4 | 0.625 | 0.625 | |
|
| 0.5593 | 91.0 | 273 | 0.7550 | 0.4 | 0.4 | 0.625 | 0.625 | |
|
| 0.5593 | 91.33 | 274 | 0.7565 | 0.2 | 0.1667 | 0.1 | 0.5 | |
|
| 0.5702 | 91.67 | 275 | 0.7567 | 0.4 | 0.4 | 0.625 | 0.625 | |
|
| 0.5702 | 92.0 | 276 | 0.7579 | 0.2 | 0.1667 | 0.1 | 0.5 | |
|
| 0.5702 | 92.33 | 277 | 0.7580 | 0.2 | 0.1667 | 0.1 | 0.5 | |
|
| 0.5702 | 92.67 | 278 | 0.7590 | 0.2 | 0.1667 | 0.1 | 0.5 | |
|
| 0.5702 | 93.0 | 279 | 0.7592 | 0.2 | 0.1667 | 0.1 | 0.5 | |
|
| 0.5735 | 93.33 | 280 | 0.7598 | 0.2 | 0.1667 | 0.1 | 0.5 | |
|
| 0.5735 | 93.67 | 281 | 0.7598 | 0.2 | 0.1667 | 0.1 | 0.5 | |
|
| 0.5735 | 94.0 | 282 | 0.7599 | 0.2 | 0.1667 | 0.1 | 0.5 | |
|
| 0.5735 | 94.33 | 283 | 0.7593 | 0.4 | 0.4 | 0.625 | 0.625 | |
|
| 0.5735 | 94.67 | 284 | 0.7595 | 0.4 | 0.4 | 0.625 | 0.625 | |
|
| 0.5795 | 95.0 | 285 | 0.7594 | 0.4 | 0.4 | 0.625 | 0.625 | |
|
| 0.5795 | 95.33 | 286 | 0.7588 | 0.4 | 0.4 | 0.625 | 0.625 | |
|
| 0.5795 | 95.67 | 287 | 0.7577 | 0.4 | 0.4 | 0.625 | 0.625 | |
|
| 0.5795 | 96.0 | 288 | 0.7574 | 0.4 | 0.4 | 0.625 | 0.625 | |
|
| 0.5795 | 96.33 | 289 | 0.7566 | 0.4 | 0.4 | 0.625 | 0.625 | |
|
| 0.5802 | 96.67 | 290 | 0.7564 | 0.4 | 0.4 | 0.625 | 0.625 | |
|
| 0.5802 | 97.0 | 291 | 0.7567 | 0.4 | 0.4 | 0.625 | 0.625 | |
|
| 0.5802 | 97.33 | 292 | 0.7573 | 0.4 | 0.4 | 0.625 | 0.625 | |
|
| 0.5802 | 97.67 | 293 | 0.7575 | 0.4 | 0.4 | 0.625 | 0.625 | |
|
| 0.5802 | 98.0 | 294 | 0.7575 | 0.4 | 0.4 | 0.625 | 0.625 | |
|
| 0.5866 | 98.33 | 295 | 0.7573 | 0.4 | 0.4 | 0.625 | 0.625 | |
|
| 0.5866 | 98.67 | 296 | 0.7574 | 0.4 | 0.4 | 0.625 | 0.625 | |
|
| 0.5866 | 99.0 | 297 | 0.7573 | 0.4 | 0.4 | 0.625 | 0.625 | |
|
| 0.5866 | 99.33 | 298 | 0.7570 | 0.4 | 0.4 | 0.625 | 0.625 | |
|
| 0.5866 | 99.67 | 299 | 0.7569 | 0.4 | 0.4 | 0.625 | 0.625 | |
|
| 0.5556 | 100.0 | 300 | 0.7569 | 0.4 | 0.4 | 0.625 | 0.625 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.35.2 |
|
- Pytorch 2.1.1 |
|
- Tokenizers 0.15.0 |
|
|
