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Training in progress epoch 25

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  1. README.md +20 -4
  2. tf_model.h5 +1 -1
README.md CHANGED
@@ -15,10 +15,10 @@ probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [bert-large-uncased](https://huggingface.co/bert-large-uncased) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Train Loss: 5.0326
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- - Validation Loss: 5.0256
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- - Train Accuracy: 0.0067
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- - Epoch: 9
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  ## Model description
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@@ -54,6 +54,22 @@ The following hyperparameters were used during training:
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  | 5.0400 | 5.0121 | 0.01 | 7 |
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  | 5.0372 | 5.0030 | 0.0167 | 8 |
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  | 5.0326 | 5.0256 | 0.0067 | 9 |
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ### Framework versions
 
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  This model is a fine-tuned version of [bert-large-uncased](https://huggingface.co/bert-large-uncased) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Train Loss: 4.4459
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+ - Validation Loss: 4.3669
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+ - Train Accuracy: 0.0233
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+ - Epoch: 25
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  ## Model description
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  | 5.0400 | 5.0121 | 0.01 | 7 |
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  | 5.0372 | 5.0030 | 0.0167 | 8 |
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  | 5.0326 | 5.0256 | 0.0067 | 9 |
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+ | 5.0382 | 4.9992 | 0.01 | 10 |
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+ | 5.0144 | 4.9976 | 0.01 | 11 |
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+ | 5.0152 | 4.9783 | 0.0167 | 12 |
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+ | 4.9700 | 4.9433 | 0.0067 | 13 |
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+ | 4.9206 | 4.9482 | 0.0067 | 14 |
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+ | 4.9153 | 4.8727 | 0.0067 | 15 |
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+ | 4.9287 | 4.7980 | 0.0167 | 16 |
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+ | 4.8014 | 4.7452 | 0.0167 | 17 |
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+ | 4.7477 | 4.6429 | 0.01 | 18 |
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+ | 4.6939 | 4.6035 | 0.02 | 19 |
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+ | 4.6607 | 4.5406 | 0.02 | 20 |
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+ | 4.6075 | 4.5490 | 0.0167 | 21 |
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+ | 4.5748 | 4.5086 | 0.0333 | 22 |
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+ | 4.5383 | 4.3940 | 0.0333 | 23 |
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+ | 4.4965 | 4.3748 | 0.0233 | 24 |
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+ | 4.4459 | 4.3669 | 0.0233 | 25 |
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  ### Framework versions
tf_model.h5 CHANGED
@@ -1,3 +1,3 @@
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  size 1341734528
 
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