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mayo-bert-visit-uncased-wordlevel-block512-batch4-ep100

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generated_from_keras_callback
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End of training

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  1. README.md +101 -2
  2. tf_model.h5 +1 -1
README.md CHANGED
@@ -14,8 +14,8 @@ probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Train Loss: 4.1247
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- - Epoch: 0
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  ## Model description
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@@ -42,6 +42,105 @@ The following hyperparameters were used during training:
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  | Train Loss | Epoch |
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  |:----------:|:-----:|
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  | 4.1247 | 0 |
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ### Framework versions
 
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  This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Train Loss: 0.9559
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+ - Epoch: 99
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  ## Model description
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  | Train Loss | Epoch |
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  |:----------:|:-----:|
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  | 4.1247 | 0 |
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+ | 3.5129 | 1 |
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+ | 3.4726 | 2 |
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+ | 3.4483 | 3 |
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+ | 3.4395 | 4 |
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+ | 3.4301 | 5 |
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+ | 3.4260 | 6 |
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+ | 3.4131 | 7 |
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+ | 3.3831 | 8 |
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+ | 3.2925 | 9 |
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+ | 3.2454 | 10 |
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+ | 3.2092 | 11 |
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+ | 3.1695 | 12 |
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+ | 3.1346 | 13 |
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+ | 3.0797 | 14 |
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+ | 3.0154 | 15 |
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+ | 2.9557 | 16 |
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+ | 2.8814 | 17 |
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+ | 2.7720 | 18 |
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+ | 2.5472 | 19 |
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+ | 2.3193 | 20 |
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+ | 2.1005 | 21 |
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+ | 1.9331 | 22 |
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+ | 1.7971 | 23 |
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+ | 1.6859 | 24 |
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+ | 1.6062 | 25 |
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+ | 1.5310 | 26 |
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+ | 1.4706 | 27 |
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+ | 1.4203 | 28 |
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+ | 1.3681 | 29 |
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+ | 1.3222 | 30 |
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+ | 1.2939 | 31 |
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+ | 1.2726 | 32 |
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+ | 1.2494 | 33 |
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+ | 1.2330 | 34 |
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+ | 1.2161 | 35 |
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+ | 1.1998 | 36 |
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+ | 1.1874 | 37 |
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+ | 1.1767 | 38 |
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+ | 1.1641 | 39 |
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+ | 1.1550 | 40 |
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+ | 1.1407 | 41 |
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+ | 1.1363 | 42 |
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+ | 1.1272 | 43 |
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+ | 1.1227 | 44 |
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+ | 1.1163 | 45 |
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+ | 1.1065 | 46 |
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+ | 1.1008 | 47 |
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+ | 1.0957 | 48 |
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+ | 1.0837 | 49 |
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+ | 1.0844 | 50 |
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+ | 1.0778 | 51 |
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+ | 1.0741 | 52 |
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+ | 1.0693 | 53 |
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+ | 1.0662 | 54 |
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+ | 1.0608 | 55 |
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+ | 1.0521 | 56 |
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+ | 1.0526 | 57 |
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+ | 1.0476 | 58 |
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+ | 1.0454 | 59 |
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+ | 1.0452 | 60 |
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+ | 1.0348 | 61 |
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+ | 1.0333 | 62 |
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+ | 1.0342 | 63 |
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+ | 1.0293 | 64 |
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+ | 1.0249 | 65 |
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+ | 1.0241 | 66 |
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+ | 1.0194 | 67 |
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+ | 1.0177 | 68 |
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+ | 1.0102 | 69 |
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+ | 1.0055 | 70 |
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+ | 1.0052 | 71 |
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+ | 1.0038 | 72 |
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+ | 1.0005 | 73 |
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+ | 0.9981 | 74 |
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+ | 0.9991 | 75 |
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+ | 0.9950 | 76 |
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+ | 0.9928 | 77 |
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+ | 0.9898 | 78 |
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+ | 0.9906 | 79 |
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+ | 0.9873 | 80 |
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+ | 0.9849 | 81 |
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+ | 0.9808 | 82 |
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+ | 0.9804 | 83 |
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+ | 0.9792 | 84 |
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+ | 0.9789 | 85 |
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+ | 0.9797 | 86 |
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+ | 0.9741 | 87 |
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+ | 0.9781 | 88 |
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+ | 0.9678 | 89 |
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+ | 0.9686 | 90 |
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+ | 0.9651 | 91 |
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+ | 0.9652 | 92 |
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+ | 0.9613 | 93 |
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+ | 0.9599 | 94 |
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+ | 0.9566 | 95 |
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+ | 0.9571 | 96 |
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+ | 0.9577 | 97 |
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+ | 0.9536 | 98 |
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+ | 0.9559 | 99 |
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  ### Framework versions
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