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

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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: 3.8730
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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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  | 3.8730 | 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: 0.7195
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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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  | 3.8730 | 0 |
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+ | 3.0562 | 1 |
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+ | 3.0168 | 2 |
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+ | 3.0032 | 3 |
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+ | 2.9954 | 4 |
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+ | 2.9951 | 5 |
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+ | 2.9904 | 6 |
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+ | 2.9765 | 7 |
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+ | 2.9788 | 8 |
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+ | 2.9692 | 9 |
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+ | 2.9656 | 10 |
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+ | 2.9761 | 11 |
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+ | 2.9643 | 12 |
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+ | 2.9393 | 13 |
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+ | 2.9026 | 14 |
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+ | 2.8685 | 15 |
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+ | 2.8438 | 16 |
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+ | 2.8279 | 17 |
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+ | 2.8107 | 18 |
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+ | 2.7896 | 19 |
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+ | 2.7716 | 20 |
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+ | 2.7458 | 21 |
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+ | 2.7118 | 22 |
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+ | 2.6519 | 23 |
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+ | 2.5933 | 24 |
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+ | 2.4702 | 25 |
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+ | 2.2842 | 26 |
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+ | 2.0712 | 27 |
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+ | 1.8406 | 28 |
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+ | 1.6374 | 29 |
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+ | 1.4836 | 30 |
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+ | 1.3824 | 31 |
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+ | 1.3079 | 32 |
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+ | 1.2538 | 33 |
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+ | 1.2054 | 34 |
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+ | 1.1700 | 35 |
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+ | 1.1432 | 36 |
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+ | 1.1122 | 37 |
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+ | 1.0939 | 38 |
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+ | 1.0645 | 39 |
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+ | 1.0465 | 40 |
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+ | 1.0248 | 41 |
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+ | 1.0069 | 42 |
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+ | 0.9902 | 43 |
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+ | 0.9769 | 44 |
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+ | 0.9510 | 45 |
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+ | 0.9394 | 46 |
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+ | 0.9316 | 47 |
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+ | 0.9181 | 48 |
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+ | 0.9090 | 49 |
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+ | 0.9010 | 50 |
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+ | 0.8934 | 51 |
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+ | 0.8791 | 52 |
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+ | 0.8759 | 53 |
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+ | 0.8652 | 54 |
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+ | 0.8566 | 55 |
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+ | 0.8511 | 56 |
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+ | 0.8414 | 57 |
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+ | 0.8373 | 58 |
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+ | 0.8302 | 59 |
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+ | 0.8241 | 60 |
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+ | 0.8246 | 61 |
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+ | 0.8207 | 62 |
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+ | 0.8110 | 63 |
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+ | 0.8081 | 64 |
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+ | 0.8010 | 65 |
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+ | 0.7995 | 66 |
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+ | 0.7965 | 67 |
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+ | 0.7941 | 68 |
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+ | 0.7849 | 69 |
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+ | 0.7866 | 70 |
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+ | 0.7874 | 71 |
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+ | 0.7796 | 72 |
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+ | 0.7742 | 73 |
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+ | 0.7706 | 74 |
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+ | 0.7687 | 75 |
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+ | 0.7686 | 76 |
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+ | 0.7586 | 78 |
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+ | 0.7527 | 82 |
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+ | 0.7482 | 83 |
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+ | 0.7460 | 84 |
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+ | 0.7436 | 85 |
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+ | 0.7423 | 86 |
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+ | 0.7422 | 87 |
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+ | 0.7385 | 88 |
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+ | 0.7367 | 89 |
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+ | 0.7321 | 90 |
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+ | 0.7320 | 91 |
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+ | 0.7354 | 92 |
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+ | 0.7271 | 93 |
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+ | 0.7270 | 94 |
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+ | 0.7210 | 95 |
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+ | 0.7236 | 96 |
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+ | 0.7263 | 97 |
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+ | 0.7237 | 98 |
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+ | 0.7195 | 99 |
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  ### Framework versions
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