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Training in progress epoch 16

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  1. README.md +4 -3
  2. tf_model.h5 +1 -1
README.md CHANGED
@@ -16,9 +16,9 @@ probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [indobenchmark/indobert-base-p1](https://huggingface.co/indobenchmark/indobert-base-p1) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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  - Train Loss: 0.0002
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- - Validation Loss: 0.5344
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- - Train Accuracy: 0.9135
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- - Epoch: 15
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  ## Model description
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@@ -60,6 +60,7 @@ The following hyperparameters were used during training:
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  | 0.0002 | 0.5171 | 0.9135 | 13 |
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  | 0.0002 | 0.5276 | 0.9163 | 14 |
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  | 0.0002 | 0.5344 | 0.9135 | 15 |
 
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  ### Framework versions
 
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  This model is a fine-tuned version of [indobenchmark/indobert-base-p1](https://huggingface.co/indobenchmark/indobert-base-p1) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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  - Train Loss: 0.0002
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+ - Validation Loss: 0.5362
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+ - Train Accuracy: 0.9163
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+ - Epoch: 16
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  ## Model description
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  | 0.0002 | 0.5171 | 0.9135 | 13 |
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  | 0.0002 | 0.5276 | 0.9163 | 14 |
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  | 0.0002 | 0.5344 | 0.9135 | 15 |
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+ | 0.0002 | 0.5362 | 0.9163 | 16 |
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  ### Framework versions
tf_model.h5 CHANGED
@@ -1,3 +1,3 @@
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  size 498059544
 
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