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--- |
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license: apache-2.0 |
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tags: |
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- generated_from_trainer |
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base_model: google/bert_uncased_L-2_H-128_A-2 |
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model-index: |
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- name: bert_uncased_L-2_H-128_A-2-finetuned-parsed |
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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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# bert_uncased_L-2_H-128_A-2-finetuned-parsed |
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This model is a fine-tuned version of [google/bert_uncased_L-2_H-128_A-2](https://huggingface.co/google/bert_uncased_L-2_H-128_A-2) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 4.2883 |
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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: 2e-05 |
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- train_batch_size: 8 |
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- eval_batch_size: 8 |
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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: 200 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:-----:|:---------------:| |
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| No log | 1.0 | 59 | 4.6900 | |
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| No log | 2.0 | 118 | 4.6347 | |
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| No log | 3.0 | 177 | 4.6578 | |
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| No log | 4.0 | 236 | 4.5731 | |
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| No log | 5.0 | 295 | 4.6258 | |
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| No log | 6.0 | 354 | 4.6365 | |
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| No log | 7.0 | 413 | 4.7292 | |
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| No log | 8.0 | 472 | 4.4789 | |
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| 4.5634 | 9.0 | 531 | 4.3161 | |
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| 4.5634 | 10.0 | 590 | 4.6929 | |
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| 4.5634 | 11.0 | 649 | 4.5543 | |
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| 4.5634 | 12.0 | 708 | 4.3739 | |
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| 4.5634 | 13.0 | 767 | 4.6118 | |
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| 4.5634 | 14.0 | 826 | 4.4036 | |
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| 4.5634 | 15.0 | 885 | 4.3940 | |
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| 4.5634 | 16.0 | 944 | 4.5944 | |
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| 4.0896 | 17.0 | 1003 | 4.3630 | |
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| 4.0896 | 18.0 | 1062 | 4.0447 | |
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| 4.0896 | 19.0 | 1121 | 4.3832 | |
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| 4.0896 | 20.0 | 1180 | 4.0535 | |
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| 4.0896 | 21.0 | 1239 | 4.5213 | |
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| 4.0896 | 22.0 | 1298 | 4.5887 | |
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| 4.0896 | 23.0 | 1357 | 4.5211 | |
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| 4.0896 | 24.0 | 1416 | 4.1876 | |
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| 4.0896 | 25.0 | 1475 | 4.5861 | |
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| 3.9145 | 26.0 | 1534 | 4.3581 | |
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| 3.9145 | 27.0 | 1593 | 4.6545 | |
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| 3.9145 | 28.0 | 1652 | 4.4919 | |
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| 3.9145 | 29.0 | 1711 | 4.1109 | |
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| 3.9145 | 30.0 | 1770 | 4.2736 | |
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| 3.9145 | 31.0 | 1829 | 4.6461 | |
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| 3.9145 | 32.0 | 1888 | 4.3111 | |
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| 3.9145 | 33.0 | 1947 | 4.2909 | |
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| 3.8088 | 34.0 | 2006 | 4.1168 | |
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| 3.8088 | 35.0 | 2065 | 4.2329 | |
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| 3.8088 | 36.0 | 2124 | 4.5285 | |
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| 3.8088 | 37.0 | 2183 | 4.4841 | |
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| 3.8088 | 38.0 | 2242 | 4.2489 | |
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| 3.8088 | 39.0 | 2301 | 4.2384 | |
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| 3.8088 | 40.0 | 2360 | 4.3610 | |
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| 3.8088 | 41.0 | 2419 | 4.2758 | |
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| 3.8088 | 42.0 | 2478 | 4.2895 | |
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| 3.7034 | 43.0 | 2537 | 4.2824 | |
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| 3.7034 | 44.0 | 2596 | 4.4997 | |
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| 3.7034 | 45.0 | 2655 | 4.5091 | |
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| 3.7034 | 46.0 | 2714 | 4.0883 | |
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| 3.7034 | 47.0 | 2773 | 4.2018 | |
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| 3.7034 | 48.0 | 2832 | 4.3701 | |
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| 3.7034 | 49.0 | 2891 | 4.0764 | |
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| 3.7034 | 50.0 | 2950 | 4.6149 | |
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| 3.6455 | 51.0 | 3009 | 4.3629 | |
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| 3.6455 | 52.0 | 3068 | 4.2199 | |
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| 3.6455 | 53.0 | 3127 | 4.3543 | |
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| 3.6455 | 54.0 | 3186 | 4.7006 | |
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| 3.6455 | 55.0 | 3245 | 4.1633 | |
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| 3.6455 | 56.0 | 3304 | 4.5183 | |
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| 3.6455 | 57.0 | 3363 | 4.1918 | |
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| 3.6455 | 58.0 | 3422 | 4.4810 | |
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| 3.6455 | 59.0 | 3481 | 4.1398 | |
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| 3.5468 | 60.0 | 3540 | 3.9632 | |
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| 3.5468 | 61.0 | 3599 | 4.4640 | |
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| 3.5468 | 62.0 | 3658 | 4.0500 | |
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| 3.5468 | 63.0 | 3717 | 4.3956 | |
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| 3.5468 | 64.0 | 3776 | 4.3922 | |
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| 3.5468 | 65.0 | 3835 | 4.2513 | |
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| 3.5468 | 66.0 | 3894 | 4.4475 | |
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| 3.5468 | 67.0 | 3953 | 4.3037 | |
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| 3.4975 | 68.0 | 4012 | 4.1568 | |
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| 3.4975 | 69.0 | 4071 | 4.2253 | |
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| 3.4975 | 70.0 | 4130 | 4.1202 | |
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| 3.4975 | 71.0 | 4189 | 4.4421 | |
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| 3.4975 | 72.0 | 4248 | 4.3548 | |
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| 3.4975 | 73.0 | 4307 | 4.1671 | |
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| 3.4975 | 74.0 | 4366 | 4.4090 | |
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| 3.4975 | 75.0 | 4425 | 4.1064 | |
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| 3.4975 | 76.0 | 4484 | 4.2109 | |
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| 3.44 | 77.0 | 4543 | 4.3244 | |
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| 3.44 | 78.0 | 4602 | 4.1995 | |
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| 3.44 | 79.0 | 4661 | 4.4518 | |
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| 3.44 | 80.0 | 4720 | 4.1991 | |
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| 3.44 | 81.0 | 4779 | 4.4183 | |
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| 3.44 | 82.0 | 4838 | 4.2173 | |
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| 3.44 | 83.0 | 4897 | 4.1721 | |
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| 3.44 | 84.0 | 4956 | 4.1931 | |
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| 3.3916 | 85.0 | 5015 | 4.3280 | |
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| 3.3916 | 86.0 | 5074 | 4.3347 | |
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| 3.3916 | 87.0 | 5133 | 4.3243 | |
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| 3.3916 | 88.0 | 5192 | 4.2708 | |
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| 3.3916 | 89.0 | 5251 | 4.1580 | |
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| 3.3916 | 90.0 | 5310 | 4.0348 | |
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| 3.3916 | 91.0 | 5369 | 4.0605 | |
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| 3.3916 | 92.0 | 5428 | 4.2083 | |
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| 3.3916 | 93.0 | 5487 | 4.2378 | |
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| 3.3817 | 94.0 | 5546 | 4.2171 | |
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| 3.3817 | 95.0 | 5605 | 3.9581 | |
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| 3.3817 | 96.0 | 5664 | 4.1668 | |
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| 3.3817 | 97.0 | 5723 | 4.0394 | |
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| 3.3817 | 98.0 | 5782 | 4.2231 | |
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| 3.3817 | 99.0 | 5841 | 4.1900 | |
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| 3.3817 | 100.0 | 5900 | 4.3041 | |
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| 3.3817 | 101.0 | 5959 | 4.3827 | |
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| 3.3526 | 102.0 | 6018 | 4.0975 | |
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| 3.3526 | 103.0 | 6077 | 4.3543 | |
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| 3.3526 | 104.0 | 6136 | 4.2104 | |
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| 3.3526 | 105.0 | 6195 | 4.2408 | |
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| 3.3526 | 106.0 | 6254 | 4.4281 | |
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| 3.3526 | 107.0 | 6313 | 4.4816 | |
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| 3.3526 | 108.0 | 6372 | 4.1995 | |
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| 3.3526 | 109.0 | 6431 | 4.1844 | |
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| 3.3526 | 110.0 | 6490 | 4.2414 | |
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| 3.3035 | 111.0 | 6549 | 4.3478 | |
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| 3.3035 | 112.0 | 6608 | 3.9579 | |
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| 3.3035 | 113.0 | 6667 | 4.2558 | |
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| 3.3035 | 114.0 | 6726 | 4.0050 | |
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| 3.3035 | 115.0 | 6785 | 4.1944 | |
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| 3.3035 | 116.0 | 6844 | 4.0384 | |
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| 3.3035 | 117.0 | 6903 | 4.5749 | |
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| 3.3035 | 118.0 | 6962 | 4.3816 | |
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| 3.2884 | 119.0 | 7021 | 4.0829 | |
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| 3.2884 | 120.0 | 7080 | 4.1100 | |
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| 3.2884 | 121.0 | 7139 | 4.3181 | |
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| 3.2884 | 122.0 | 7198 | 4.2051 | |
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| 3.2884 | 123.0 | 7257 | 4.1495 | |
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| 3.2884 | 124.0 | 7316 | 4.2398 | |
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| 3.2884 | 125.0 | 7375 | 4.2553 | |
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| 3.2884 | 126.0 | 7434 | 4.0788 | |
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| 3.2884 | 127.0 | 7493 | 4.4999 | |
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| 3.2817 | 128.0 | 7552 | 4.4331 | |
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| 3.2817 | 129.0 | 7611 | 4.3983 | |
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| 3.2817 | 130.0 | 7670 | 4.1597 | |
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| 3.2817 | 131.0 | 7729 | 4.2732 | |
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| 3.2817 | 132.0 | 7788 | 4.1203 | |
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| 3.2817 | 133.0 | 7847 | 4.4417 | |
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| 3.2817 | 134.0 | 7906 | 4.0591 | |
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| 3.2817 | 135.0 | 7965 | 4.0435 | |
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| 3.252 | 136.0 | 8024 | 4.0461 | |
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| 3.252 | 137.0 | 8083 | 4.2521 | |
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| 3.252 | 138.0 | 8142 | 4.2749 | |
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| 3.252 | 139.0 | 8201 | 4.1346 | |
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| 3.252 | 140.0 | 8260 | 4.0411 | |
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| 3.252 | 141.0 | 8319 | 4.0656 | |
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| 3.252 | 142.0 | 8378 | 4.3978 | |
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| 3.252 | 143.0 | 8437 | 4.0533 | |
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| 3.252 | 144.0 | 8496 | 3.9734 | |
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| 3.217 | 145.0 | 8555 | 4.2113 | |
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| 3.217 | 146.0 | 8614 | 4.5480 | |
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| 3.217 | 147.0 | 8673 | 4.1805 | |
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| 3.217 | 148.0 | 8732 | 4.2144 | |
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| 3.217 | 149.0 | 8791 | 4.1457 | |
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| 3.217 | 150.0 | 8850 | 4.3311 | |
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| 3.217 | 151.0 | 8909 | 4.1565 | |
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| 3.217 | 152.0 | 8968 | 4.3584 | |
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| 3.2183 | 153.0 | 9027 | 4.3837 | |
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| 3.2183 | 154.0 | 9086 | 4.0912 | |
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| 3.2183 | 155.0 | 9145 | 4.0785 | |
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| 3.2183 | 156.0 | 9204 | 4.2501 | |
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| 3.2183 | 157.0 | 9263 | 4.1515 | |
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| 3.2183 | 158.0 | 9322 | 4.0559 | |
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| 3.2183 | 159.0 | 9381 | 3.9969 | |
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| 3.2183 | 160.0 | 9440 | 4.0528 | |
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| 3.2183 | 161.0 | 9499 | 3.9618 | |
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| 3.2109 | 162.0 | 9558 | 4.2596 | |
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| 3.2109 | 163.0 | 9617 | 4.0760 | |
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| 3.2109 | 164.0 | 9676 | 4.2589 | |
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| 3.2109 | 165.0 | 9735 | 4.2227 | |
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| 3.2109 | 166.0 | 9794 | 4.3354 | |
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| 3.2109 | 167.0 | 9853 | 4.3471 | |
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| 3.2109 | 168.0 | 9912 | 4.1578 | |
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| 3.2109 | 169.0 | 9971 | 4.4163 | |
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| 3.1868 | 170.0 | 10030 | 4.0754 | |
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| 3.1868 | 171.0 | 10089 | 4.2543 | |
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| 3.1868 | 172.0 | 10148 | 3.9498 | |
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| 3.1868 | 173.0 | 10207 | 4.0863 | |
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| 3.1868 | 174.0 | 10266 | 4.3090 | |
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| 3.1868 | 175.0 | 10325 | 4.2731 | |
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| 3.1868 | 176.0 | 10384 | 4.1997 | |
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| 3.1868 | 177.0 | 10443 | 4.2273 | |
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| 3.1905 | 178.0 | 10502 | 4.3560 | |
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| 3.1905 | 179.0 | 10561 | 4.3330 | |
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| 3.1905 | 180.0 | 10620 | 4.1770 | |
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| 3.1905 | 181.0 | 10679 | 3.8779 | |
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| 3.1905 | 182.0 | 10738 | 4.2199 | |
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| 3.1905 | 183.0 | 10797 | 4.1409 | |
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| 3.1905 | 184.0 | 10856 | 4.3601 | |
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| 3.1905 | 185.0 | 10915 | 4.2380 | |
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| 3.1905 | 186.0 | 10974 | 4.4688 | |
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| 3.1774 | 187.0 | 11033 | 4.2305 | |
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| 3.1774 | 188.0 | 11092 | 3.9129 | |
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| 3.1774 | 189.0 | 11151 | 4.2889 | |
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| 3.1774 | 190.0 | 11210 | 3.8790 | |
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| 3.1774 | 191.0 | 11269 | 4.4458 | |
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| 3.1774 | 192.0 | 11328 | 4.2899 | |
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| 3.1774 | 193.0 | 11387 | 4.4378 | |
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| 3.1774 | 194.0 | 11446 | 4.2316 | |
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| 3.179 | 195.0 | 11505 | 4.0360 | |
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| 3.179 | 196.0 | 11564 | 4.1284 | |
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| 3.179 | 197.0 | 11623 | 4.3879 | |
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| 3.179 | 198.0 | 11682 | 4.0715 | |
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| 3.179 | 199.0 | 11741 | 4.1888 | |
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| 3.179 | 200.0 | 11800 | 4.3268 | |
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### Framework versions |
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- Transformers 4.21.1 |
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- Pytorch 1.12.0+cu113 |
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- Datasets 2.4.0 |
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- Tokenizers 0.12.1 |
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