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--- |
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license: mit |
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base_model: openai-community/gpt2 |
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tags: |
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- generated_from_trainer |
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datasets: |
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- gokuls/wiki_book_corpus_raw_dataset_tiny |
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metrics: |
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- accuracy |
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model-index: |
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- name: gpt_train_6_768 |
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results: |
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- task: |
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name: Causal Language Modeling |
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type: text-generation |
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dataset: |
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name: gokuls/wiki_book_corpus_raw_dataset_tiny |
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type: gokuls/wiki_book_corpus_raw_dataset_tiny |
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metrics: |
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- name: Accuracy |
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type: accuracy |
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value: 0.11184750327853396 |
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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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# gpt_train_6_768 |
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This model is a fine-tuned version of [openai-community/gpt2](https://huggingface.co/openai-community/gpt2) on the gokuls/wiki_book_corpus_raw_dataset_tiny dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 7.6211 |
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- Accuracy: 0.1118 |
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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: 1e-05 |
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- train_batch_size: 32 |
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- eval_batch_size: 32 |
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- seed: 10 |
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- distributed_type: multi-GPU |
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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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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | |
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|:-------------:|:------:|:----:|:---------------:|:--------:| |
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| 10.9531 | 0.0000 | 1 | 10.9609 | 0.0000 | |
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| 10.9453 | 0.0001 | 2 | 10.9609 | 0.0000 | |
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| 10.9609 | 0.0001 | 3 | 10.9609 | 0.0000 | |
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| 10.9531 | 0.0002 | 4 | 10.9609 | 0.0000 | |
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| 10.9531 | 0.0002 | 5 | 10.9609 | 0.0000 | |
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| 10.9609 | 0.0003 | 6 | 10.9609 | 0.0000 | |
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| 10.9531 | 0.0003 | 7 | 10.9609 | 0.0000 | |
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| 10.9531 | 0.0004 | 8 | 10.9609 | 0.0000 | |
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| 10.9609 | 0.0004 | 9 | 10.9609 | 0.0000 | |
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| 10.9609 | 0.0005 | 10 | 10.9609 | 0.0000 | |
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| 10.9609 | 0.0005 | 11 | 10.9609 | 0.0000 | |
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| 10.9609 | 0.0006 | 12 | 10.9609 | 0.0000 | |
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| 10.9609 | 0.0006 | 13 | 10.9609 | 0.0000 | |
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| 10.9531 | 0.0007 | 14 | 10.9609 | 0.0000 | |
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| 10.9531 | 0.0007 | 15 | 10.9609 | 0.0000 | |
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| 10.9531 | 0.0008 | 16 | 10.9609 | 0.0000 | |
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| 10.9609 | 0.0008 | 17 | 10.9609 | 0.0000 | |
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| 10.9609 | 0.0009 | 18 | 10.7188 | 0.0158 | |
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| 10.7422 | 0.0009 | 19 | 10.5078 | 0.0392 | |
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| 10.5391 | 0.0010 | 20 | 10.3516 | 0.0403 | |
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| 10.4219 | 0.0010 | 21 | 10.2422 | 0.0403 | |
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| 10.2656 | 0.0011 | 22 | 10.1484 | 0.0401 | |
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| 10.2109 | 0.0011 | 23 | 10.0703 | 0.0403 | |
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| 10.125 | 0.0012 | 24 | 10.0078 | 0.0420 | |
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| 10.0312 | 0.0012 | 25 | 9.9531 | 0.0449 | |
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| 9.9766 | 0.0013 | 26 | 9.9062 | 0.0489 | |
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| 9.9844 | 0.0013 | 27 | 9.8672 | 0.0504 | |
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| 9.9062 | 0.0014 | 28 | 9.8359 | 0.0508 | |
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| 9.875 | 0.0014 | 29 | 9.8047 | 0.0506 | |
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| 9.8359 | 0.0015 | 30 | 9.7812 | 0.0511 | |
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| 9.8516 | 0.0015 | 31 | 9.75 | 0.0513 | |
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| 9.875 | 0.0015 | 32 | 9.7344 | 0.0511 | |
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| 9.7109 | 0.0016 | 33 | 9.7109 | 0.0514 | |
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| 9.7266 | 0.0016 | 34 | 9.6953 | 0.0506 | |
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| 9.7344 | 0.0017 | 35 | 9.6797 | 0.0508 | |
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| 9.7344 | 0.0017 | 36 | 9.6641 | 0.0524 | |
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| 9.7422 | 0.0018 | 37 | 9.6484 | 0.0543 | |
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| 9.6094 | 0.0018 | 38 | 9.6328 | 0.0555 | |
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| 9.7188 | 0.0019 | 39 | 9.625 | 0.0562 | |
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| 9.6484 | 0.0019 | 40 | 9.6094 | 0.0572 | |
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| 9.6641 | 0.0020 | 41 | 9.6016 | 0.0573 | |
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| 9.6562 | 0.0020 | 42 | 9.5859 | 0.0573 | |
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| 9.6406 | 0.0021 | 43 | 9.5781 | 0.0590 | |
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| 9.5234 | 0.0021 | 44 | 9.5625 | 0.0605 | |
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| 9.5938 | 0.0022 | 45 | 9.5547 | 0.0615 | |
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| 9.5859 | 0.0022 | 46 | 9.5391 | 0.0623 | |
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| 9.5703 | 0.0023 | 47 | 9.5312 | 0.0626 | |
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| 9.5078 | 0.0023 | 48 | 9.5156 | 0.0627 | |
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| 9.6484 | 0.0024 | 49 | 9.5078 | 0.0628 | |
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| 9.4922 | 0.0024 | 50 | 9.4922 | 0.0629 | |
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| 9.5391 | 0.0025 | 51 | 9.4844 | 0.0633 | |
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| 9.5859 | 0.0025 | 52 | 9.4688 | 0.0639 | |
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| 9.5234 | 0.0026 | 53 | 9.4609 | 0.0647 | |
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| 9.5 | 0.0026 | 54 | 9.4453 | 0.0657 | |
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| 9.4609 | 0.0027 | 55 | 9.4375 | 0.0666 | |
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| 9.4531 | 0.0027 | 56 | 9.4219 | 0.0677 | |
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| 9.4375 | 0.0028 | 57 | 9.4141 | 0.0681 | |
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| 9.4141 | 0.0028 | 58 | 9.3984 | 0.0683 | |
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| 9.4844 | 0.0029 | 59 | 9.3906 | 0.0683 | |
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| 9.4297 | 0.0029 | 60 | 9.3828 | 0.0691 | |
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| 9.375 | 0.0030 | 61 | 9.3672 | 0.0694 | |
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| 9.4219 | 0.0030 | 62 | 9.3594 | 0.0693 | |
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| 9.3672 | 0.0031 | 63 | 9.3438 | 0.0692 | |
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| 9.3906 | 0.0031 | 64 | 9.3359 | 0.0700 | |
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| 9.4375 | 0.0031 | 65 | 9.3203 | 0.0713 | |
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| 9.3203 | 0.0032 | 66 | 9.3125 | 0.0718 | |
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| 9.375 | 0.0032 | 67 | 9.3047 | 0.0723 | |
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| 9.3516 | 0.0033 | 68 | 9.2891 | 0.0726 | |
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| 9.3359 | 0.0033 | 69 | 9.2812 | 0.0725 | |
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| 9.2891 | 0.0034 | 70 | 9.2656 | 0.0722 | |
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| 9.3047 | 0.0034 | 71 | 9.2578 | 0.0721 | |
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| 9.3125 | 0.0035 | 72 | 9.2422 | 0.0721 | |
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| 9.2891 | 0.0035 | 73 | 9.2344 | 0.0728 | |
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| 9.2578 | 0.0036 | 74 | 9.2188 | 0.0741 | |
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| 9.2422 | 0.0036 | 75 | 9.2109 | 0.0751 | |
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| 9.2031 | 0.0037 | 76 | 9.1953 | 0.0760 | |
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| 9.1641 | 0.0037 | 77 | 9.1875 | 0.0765 | |
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| 9.1953 | 0.0038 | 78 | 9.1797 | 0.0767 | |
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| 9.1484 | 0.0038 | 79 | 9.1641 | 0.0767 | |
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| 9.1953 | 0.0039 | 80 | 9.1562 | 0.0768 | |
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| 9.1328 | 0.0039 | 81 | 9.1406 | 0.0772 | |
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| 9.2109 | 0.0040 | 82 | 9.1328 | 0.0773 | |
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| 9.0547 | 0.0040 | 83 | 9.125 | 0.0771 | |
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| 9.1094 | 0.0041 | 84 | 9.1094 | 0.0770 | |
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| 9.1797 | 0.0041 | 85 | 9.1016 | 0.0768 | |
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| 9.1484 | 0.0042 | 86 | 9.0859 | 0.0770 | |
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| 9.1016 | 0.0042 | 87 | 9.0781 | 0.0772 | |
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| 9.1172 | 0.0043 | 88 | 9.0703 | 0.0772 | |
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| 9.0078 | 0.0043 | 89 | 9.0625 | 0.0772 | |
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| 8.9688 | 0.0044 | 90 | 9.0469 | 0.0775 | |
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| 9.0938 | 0.0044 | 91 | 9.0391 | 0.0781 | |
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| 9.0547 | 0.0045 | 92 | 9.0312 | 0.0791 | |
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| 9.0703 | 0.0045 | 93 | 9.0156 | 0.0798 | |
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| 9.0234 | 0.0046 | 94 | 9.0078 | 0.0801 | |
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| 9.0547 | 0.0046 | 95 | 9.0 | 0.0803 | |
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| 9.0391 | 0.0046 | 96 | 8.9844 | 0.0804 | |
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| 9.0703 | 0.0047 | 97 | 8.9766 | 0.0805 | |
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| 9.0234 | 0.0047 | 98 | 8.9688 | 0.0806 | |
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| 8.9062 | 0.0048 | 99 | 8.9609 | 0.0810 | |
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| 8.9688 | 0.0048 | 100 | 8.9453 | 0.0815 | |
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| 8.9609 | 0.0049 | 101 | 8.9375 | 0.0818 | |
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| 9.0391 | 0.0049 | 102 | 8.9297 | 0.0820 | |
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| 8.8984 | 0.0050 | 103 | 8.9141 | 0.0821 | |
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| 8.9688 | 0.0050 | 104 | 8.9062 | 0.0820 | |
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| 8.9922 | 0.0051 | 105 | 8.8984 | 0.0819 | |
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| 8.9062 | 0.0051 | 106 | 8.8906 | 0.0819 | |
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| 8.9062 | 0.0052 | 107 | 8.875 | 0.0822 | |
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| 8.9609 | 0.0052 | 108 | 8.8672 | 0.0826 | |
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| 8.8672 | 0.0053 | 109 | 8.8594 | 0.0831 | |
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| 8.8828 | 0.0053 | 110 | 8.8438 | 0.0836 | |
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| 8.8516 | 0.0054 | 111 | 8.8359 | 0.0840 | |
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| 8.8828 | 0.0054 | 112 | 8.8281 | 0.0844 | |
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| 8.9297 | 0.0055 | 113 | 8.8203 | 0.0845 | |
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| 8.9062 | 0.0055 | 114 | 8.8125 | 0.0847 | |
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| 8.7969 | 0.0056 | 115 | 8.7969 | 0.0851 | |
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| 8.8203 | 0.0056 | 116 | 8.7891 | 0.0855 | |
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| 8.8047 | 0.0057 | 117 | 8.7812 | 0.0858 | |
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| 8.7422 | 0.0057 | 118 | 8.7734 | 0.0858 | |
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| 8.7266 | 0.0058 | 119 | 8.7656 | 0.0860 | |
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| 8.6953 | 0.0058 | 120 | 8.7578 | 0.0861 | |
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| 8.7422 | 0.0059 | 121 | 8.75 | 0.0861 | |
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| 8.75 | 0.0059 | 122 | 8.7344 | 0.0863 | |
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| 8.7422 | 0.0060 | 123 | 8.7266 | 0.0867 | |
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| 8.6953 | 0.0060 | 124 | 8.7188 | 0.0870 | |
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| 8.6328 | 0.0061 | 125 | 8.7109 | 0.0871 | |
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| 8.7188 | 0.0061 | 126 | 8.7031 | 0.0871 | |
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| 8.7891 | 0.0062 | 127 | 8.6953 | 0.0873 | |
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| 8.7344 | 0.0062 | 128 | 8.6875 | 0.0874 | |
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| 8.7578 | 0.0062 | 129 | 8.6797 | 0.0874 | |
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| 8.6953 | 0.0063 | 130 | 8.6641 | 0.0874 | |
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| 8.7266 | 0.0063 | 131 | 8.6562 | 0.0877 | |
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| 8.6562 | 0.0064 | 132 | 8.6484 | 0.0882 | |
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| 8.7188 | 0.0064 | 133 | 8.6406 | 0.0884 | |
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| 8.6797 | 0.0065 | 134 | 8.6328 | 0.0883 | |
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| 8.6562 | 0.0065 | 135 | 8.625 | 0.0883 | |
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| 8.6172 | 0.0066 | 136 | 8.6172 | 0.0885 | |
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| 8.6406 | 0.0066 | 137 | 8.6094 | 0.0889 | |
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| 8.6797 | 0.0067 | 138 | 8.6016 | 0.0895 | |
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| 8.6406 | 0.0067 | 139 | 8.5938 | 0.0901 | |
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| 8.6094 | 0.0068 | 140 | 8.5859 | 0.0905 | |
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| 8.7031 | 0.0068 | 141 | 8.5781 | 0.0906 | |
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| 8.6797 | 0.0069 | 142 | 8.5703 | 0.0906 | |
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| 8.6719 | 0.0069 | 143 | 8.5625 | 0.0905 | |
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| 8.5703 | 0.0070 | 144 | 8.5547 | 0.0905 | |
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| 8.6016 | 0.0070 | 145 | 8.5391 | 0.0907 | |
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| 8.5859 | 0.0071 | 146 | 8.5312 | 0.0909 | |
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| 8.5469 | 0.0071 | 147 | 8.5312 | 0.0911 | |
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| 8.5391 | 0.0072 | 148 | 8.5234 | 0.0913 | |
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| 8.5391 | 0.0072 | 149 | 8.5156 | 0.0915 | |
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| 8.5625 | 0.0073 | 150 | 8.5078 | 0.0918 | |
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| 8.5469 | 0.0073 | 151 | 8.5 | 0.0921 | |
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| 8.5234 | 0.0074 | 152 | 8.4922 | 0.0920 | |
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| 8.5469 | 0.0074 | 153 | 8.4844 | 0.0922 | |
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| 8.4766 | 0.0075 | 154 | 8.4766 | 0.0923 | |
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| 8.4453 | 0.0075 | 155 | 8.4688 | 0.0925 | |
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| 8.375 | 0.0076 | 156 | 8.4609 | 0.0929 | |
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| 8.5156 | 0.0076 | 157 | 8.4531 | 0.0932 | |
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| 8.5234 | 0.0077 | 158 | 8.4453 | 0.0934 | |
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| 8.4844 | 0.0077 | 159 | 8.4375 | 0.0936 | |
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| 8.5 | 0.0077 | 160 | 8.4297 | 0.0938 | |
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| 8.3984 | 0.0078 | 161 | 8.4219 | 0.0936 | |
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| 8.5156 | 0.0078 | 162 | 8.4219 | 0.0935 | |
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| 8.4453 | 0.0079 | 163 | 8.4141 | 0.0934 | |
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| 8.4375 | 0.0079 | 164 | 8.4062 | 0.0937 | |
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| 8.4297 | 0.0080 | 165 | 8.3984 | 0.0944 | |
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| 8.4453 | 0.0080 | 166 | 8.3906 | 0.0953 | |
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| 8.4453 | 0.0081 | 167 | 8.3828 | 0.0961 | |
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| 8.3828 | 0.0081 | 168 | 8.375 | 0.0963 | |
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| 8.3828 | 0.0082 | 169 | 8.3672 | 0.0964 | |
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| 8.4297 | 0.0082 | 170 | 8.3594 | 0.0963 | |
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| 8.3828 | 0.0083 | 171 | 8.3516 | 0.0963 | |
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| 8.3984 | 0.0083 | 172 | 8.3438 | 0.0965 | |
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| 8.4375 | 0.0084 | 173 | 8.3359 | 0.0967 | |
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| 8.3906 | 0.0084 | 174 | 8.3281 | 0.0970 | |
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| 8.2578 | 0.0085 | 175 | 8.3203 | 0.0973 | |
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| 8.2891 | 0.0085 | 176 | 8.3203 | 0.0976 | |
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| 8.3125 | 0.0086 | 177 | 8.3125 | 0.0978 | |
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| 8.3359 | 0.0086 | 178 | 8.3047 | 0.0981 | |
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| 8.375 | 0.0087 | 179 | 8.2969 | 0.0982 | |
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| 8.3125 | 0.0087 | 180 | 8.2891 | 0.0982 | |
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| 8.2656 | 0.0088 | 181 | 8.2812 | 0.0981 | |
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| 8.2812 | 0.0088 | 182 | 8.2734 | 0.0980 | |
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| 8.3203 | 0.0089 | 183 | 8.2656 | 0.0979 | |
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| 8.2344 | 0.0089 | 184 | 8.2656 | 0.0979 | |
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| 8.3203 | 0.0090 | 185 | 8.2578 | 0.0982 | |
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| 8.2422 | 0.0090 | 186 | 8.25 | 0.0986 | |
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| 8.2344 | 0.0091 | 187 | 8.2422 | 0.0990 | |
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| 8.2891 | 0.0091 | 188 | 8.2344 | 0.0995 | |
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| 8.1875 | 0.0092 | 189 | 8.2266 | 0.0997 | |
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| 8.2188 | 0.0092 | 190 | 8.2266 | 0.0997 | |
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| 8.1953 | 0.0093 | 191 | 8.2188 | 0.0994 | |
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| 8.2578 | 0.0093 | 192 | 8.2109 | 0.0991 | |
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| 8.2188 | 0.0093 | 193 | 8.2031 | 0.0991 | |
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| 8.2812 | 0.0094 | 194 | 8.1953 | 0.0991 | |
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| 8.1328 | 0.0094 | 195 | 8.1875 | 0.0992 | |
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| 8.2578 | 0.0095 | 196 | 8.1875 | 0.0992 | |
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| 8.1719 | 0.0095 | 197 | 8.1797 | 0.0996 | |
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| 8.1953 | 0.0096 | 198 | 8.1719 | 0.1000 | |
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| 8.1875 | 0.0096 | 199 | 8.1641 | 0.1002 | |
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| 8.1953 | 0.0097 | 200 | 8.1562 | 0.1006 | |
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| 8.1406 | 0.0097 | 201 | 8.1562 | 0.1008 | |
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| 8.1797 | 0.0098 | 202 | 8.1484 | 0.1008 | |
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| 8.1484 | 0.0098 | 203 | 8.1406 | 0.1006 | |
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| 8.1719 | 0.0099 | 204 | 8.1328 | 0.1004 | |
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| 8.1641 | 0.0099 | 205 | 8.125 | 0.1002 | |
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| 8.2422 | 0.0100 | 206 | 8.125 | 0.1002 | |
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| 8.0703 | 0.0100 | 207 | 8.1172 | 0.1005 | |
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| 8.1328 | 0.0101 | 208 | 8.1094 | 0.1011 | |
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| 8.1562 | 0.0101 | 209 | 8.1016 | 0.1016 | |
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| 8.1797 | 0.0102 | 210 | 8.1016 | 0.1020 | |
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| 8.1641 | 0.0102 | 211 | 8.0938 | 0.1022 | |
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| 8.1016 | 0.0103 | 212 | 8.0859 | 0.1022 | |
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| 8.1719 | 0.0103 | 213 | 8.0781 | 0.1020 | |
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| 8.1094 | 0.0104 | 214 | 8.0703 | 0.1017 | |
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| 8.0469 | 0.0104 | 215 | 8.0703 | 0.1016 | |
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| 8.0859 | 0.0105 | 216 | 8.0625 | 0.1019 | |
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| 8.0625 | 0.0105 | 217 | 8.0547 | 0.1023 | |
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| 8.1406 | 0.0106 | 218 | 8.0547 | 0.1025 | |
|
| 8.0547 | 0.0106 | 219 | 8.0469 | 0.1027 | |
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| 8.0234 | 0.0107 | 220 | 8.0391 | 0.1029 | |
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| 8.0469 | 0.0107 | 221 | 8.0391 | 0.1029 | |
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| 8.0312 | 0.0108 | 222 | 8.0312 | 0.1029 | |
|
| 8.0391 | 0.0108 | 223 | 8.0234 | 0.1028 | |
|
| 8.0391 | 0.0108 | 224 | 8.0156 | 0.1029 | |
|
| 8.0859 | 0.0109 | 225 | 8.0156 | 0.1029 | |
|
| 8.0391 | 0.0109 | 226 | 8.0078 | 0.1028 | |
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| 7.9883 | 0.0110 | 227 | 8.0 | 0.1028 | |
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| 8.0625 | 0.0110 | 228 | 7.9961 | 0.1029 | |
|
| 8.1094 | 0.0111 | 229 | 7.9883 | 0.1032 | |
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| 8.0391 | 0.0111 | 230 | 7.9844 | 0.1034 | |
|
| 8.0078 | 0.0112 | 231 | 7.9805 | 0.1037 | |
|
| 8.0859 | 0.0112 | 232 | 7.9727 | 0.1039 | |
|
| 7.9961 | 0.0113 | 233 | 7.9688 | 0.1039 | |
|
| 8.0312 | 0.0113 | 234 | 7.9648 | 0.1039 | |
|
| 8.0391 | 0.0114 | 235 | 7.9570 | 0.1037 | |
|
| 7.9609 | 0.0114 | 236 | 7.9531 | 0.1037 | |
|
| 7.9336 | 0.0115 | 237 | 7.9492 | 0.1038 | |
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| 7.9258 | 0.0115 | 238 | 7.9453 | 0.1040 | |
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| 7.9531 | 0.0116 | 239 | 7.9375 | 0.1042 | |
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| 7.9805 | 0.0116 | 240 | 7.9336 | 0.1045 | |
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| 8.0078 | 0.0117 | 241 | 7.9297 | 0.1048 | |
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| 7.8906 | 0.0117 | 242 | 7.9258 | 0.1051 | |
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| 7.9727 | 0.0118 | 243 | 7.9180 | 0.1054 | |
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| 7.9336 | 0.0118 | 244 | 7.9141 | 0.1055 | |
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| 7.9375 | 0.0119 | 245 | 7.9062 | 0.1055 | |
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| 7.9922 | 0.0119 | 246 | 7.9023 | 0.1054 | |
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| 7.9609 | 0.0120 | 247 | 7.8984 | 0.1053 | |
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| 7.8945 | 0.0120 | 248 | 7.8906 | 0.1053 | |
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| 7.8203 | 0.0121 | 249 | 7.8867 | 0.1055 | |
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| 7.8984 | 0.0121 | 250 | 7.8828 | 0.1057 | |
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| 7.9023 | 0.0122 | 251 | 7.8789 | 0.1058 | |
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| 7.918 | 0.0122 | 252 | 7.875 | 0.1058 | |
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| 7.832 | 0.0123 | 253 | 7.8672 | 0.1058 | |
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| 7.9609 | 0.0123 | 254 | 7.8633 | 0.1056 | |
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| 7.9531 | 0.0124 | 255 | 7.8594 | 0.1057 | |
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| 7.8125 | 0.0124 | 256 | 7.8555 | 0.1059 | |
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| 7.9648 | 0.0124 | 257 | 7.8516 | 0.1066 | |
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| 7.832 | 0.0125 | 258 | 7.8438 | 0.1068 | |
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| 7.8008 | 0.0125 | 259 | 7.8398 | 0.1069 | |
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| 7.8281 | 0.0126 | 260 | 7.8359 | 0.1069 | |
|
| 7.8477 | 0.0126 | 261 | 7.8320 | 0.1069 | |
|
| 7.8086 | 0.0127 | 262 | 7.8281 | 0.1069 | |
|
| 7.8281 | 0.0127 | 263 | 7.8203 | 0.1069 | |
|
| 7.8906 | 0.0128 | 264 | 7.8164 | 0.1067 | |
|
| 7.8477 | 0.0128 | 265 | 7.8125 | 0.1067 | |
|
| 7.8867 | 0.0129 | 266 | 7.8086 | 0.1067 | |
|
| 7.8359 | 0.0129 | 267 | 7.8047 | 0.1069 | |
|
| 7.7969 | 0.0130 | 268 | 7.8008 | 0.1074 | |
|
| 7.8711 | 0.0130 | 269 | 7.7969 | 0.1079 | |
|
| 7.7656 | 0.0131 | 270 | 7.7930 | 0.1081 | |
|
| 7.8008 | 0.0131 | 271 | 7.7852 | 0.1080 | |
|
| 7.8594 | 0.0132 | 272 | 7.7812 | 0.1079 | |
|
| 7.8125 | 0.0132 | 273 | 7.7773 | 0.1077 | |
|
| 7.7617 | 0.0133 | 274 | 7.7734 | 0.1075 | |
|
| 7.7227 | 0.0133 | 275 | 7.7695 | 0.1074 | |
|
| 7.8164 | 0.0134 | 276 | 7.7656 | 0.1077 | |
|
| 7.7383 | 0.0134 | 277 | 7.7617 | 0.1081 | |
|
| 7.8984 | 0.0135 | 278 | 7.7578 | 0.1085 | |
|
| 7.793 | 0.0135 | 279 | 7.7539 | 0.1088 | |
|
| 7.707 | 0.0136 | 280 | 7.75 | 0.1088 | |
|
| 7.8086 | 0.0136 | 281 | 7.7422 | 0.1088 | |
|
| 7.7773 | 0.0137 | 282 | 7.7383 | 0.1088 | |
|
| 7.6875 | 0.0137 | 283 | 7.7344 | 0.1087 | |
|
| 7.7188 | 0.0138 | 284 | 7.7305 | 0.1088 | |
|
| 7.7539 | 0.0138 | 285 | 7.7266 | 0.1091 | |
|
| 7.8008 | 0.0139 | 286 | 7.7227 | 0.1094 | |
|
| 7.7578 | 0.0139 | 287 | 7.7188 | 0.1097 | |
|
| 7.7148 | 0.0139 | 288 | 7.7148 | 0.1099 | |
|
| 7.7266 | 0.0140 | 289 | 7.7109 | 0.1100 | |
|
| 7.7031 | 0.0140 | 290 | 7.7070 | 0.1099 | |
|
| 7.7383 | 0.0141 | 291 | 7.7031 | 0.1098 | |
|
| 7.7266 | 0.0141 | 292 | 7.6953 | 0.1098 | |
|
| 7.75 | 0.0142 | 293 | 7.6914 | 0.1100 | |
|
| 7.7031 | 0.0142 | 294 | 7.6914 | 0.1102 | |
|
| 7.7305 | 0.0143 | 295 | 7.6875 | 0.1103 | |
|
| 7.7188 | 0.0143 | 296 | 7.6836 | 0.1104 | |
|
| 7.6719 | 0.0144 | 297 | 7.6797 | 0.1105 | |
|
| 7.6289 | 0.0144 | 298 | 7.6758 | 0.1108 | |
|
| 7.6719 | 0.0145 | 299 | 7.6719 | 0.1110 | |
|
| 7.7695 | 0.0145 | 300 | 7.6641 | 0.1111 | |
|
| 7.7812 | 0.0146 | 301 | 7.6602 | 0.1109 | |
|
| 7.707 | 0.0146 | 302 | 7.6562 | 0.1110 | |
|
| 7.7539 | 0.0147 | 303 | 7.6523 | 0.1111 | |
|
| 7.5898 | 0.0147 | 304 | 7.6523 | 0.1114 | |
|
| 7.668 | 0.0148 | 305 | 7.6484 | 0.1116 | |
|
| 7.6602 | 0.0148 | 306 | 7.6445 | 0.1116 | |
|
| 7.6953 | 0.0149 | 307 | 7.6406 | 0.1117 | |
|
| 7.7031 | 0.0149 | 308 | 7.6367 | 0.1118 | |
|
| 7.6914 | 0.0150 | 309 | 7.6328 | 0.1120 | |
|
| 7.582 | 0.0150 | 310 | 7.6289 | 0.1119 | |
|
| 7.6445 | 0.0151 | 311 | 7.625 | 0.1118 | |
|
| 7.5234 | 0.0151 | 312 | 7.6211 | 0.1118 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.41.2 |
|
- Pytorch 2.1.0a0+32f93b1 |
|
- Datasets 2.20.0 |
|
- Tokenizers 0.19.1 |
|
|
