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Training in progress epoch 0

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  1. README.md +3 -31
  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 [w11wo/indonesian-roberta-base-sentiment-classifier](https://huggingface.co/w11wo/indonesian-roberta-base-sentiment-classifier) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Train Loss: 0.0009
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  - Validation Loss: 0.9739
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  - Train Accuracy: 0.8176
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- - Epoch: 28
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  ## Model description
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@@ -44,35 +44,7 @@ The following hyperparameters were used during training:
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  | Train Loss | Validation Loss | Train Accuracy | Epoch |
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  |:----------:|:---------------:|:--------------:|:-----:|
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- | 0.7405 | 0.5246 | 0.7882 | 0 |
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- | 0.3096 | 0.5213 | 0.8176 | 1 |
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- | 0.1462 | 0.4939 | 0.8412 | 2 |
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- | 0.0766 | 0.5666 | 0.8529 | 3 |
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- | 0.0351 | 0.7091 | 0.8059 | 4 |
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- | 0.0458 | 0.7482 | 0.8118 | 5 |
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- | 0.0245 | 0.8798 | 0.7882 | 6 |
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- | 0.0175 | 0.7262 | 0.8353 | 7 |
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- | 0.0142 | 0.8539 | 0.7941 | 8 |
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- | 0.0126 | 0.7753 | 0.8353 | 9 |
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- | 0.0150 | 0.7607 | 0.8294 | 10 |
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- | 0.0165 | 0.9056 | 0.8353 | 11 |
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- | 0.0205 | 0.9552 | 0.8 | 12 |
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- | 0.0307 | 0.9015 | 0.7941 | 13 |
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- | 0.0165 | 0.8643 | 0.8176 | 14 |
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- | 0.0143 | 0.8990 | 0.8176 | 15 |
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- | 0.0106 | 0.9778 | 0.7941 | 16 |
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- | 0.0158 | 0.8740 | 0.7941 | 17 |
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- | 0.0021 | 0.8825 | 0.8059 | 18 |
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- | 0.0023 | 0.9008 | 0.8059 | 19 |
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- | 0.0022 | 0.8984 | 0.8176 | 20 |
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- | 0.0041 | 0.9269 | 0.8176 | 21 |
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- | 0.0028 | 0.9180 | 0.8235 | 22 |
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- | 0.0014 | 0.9202 | 0.8235 | 23 |
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- | 0.0022 | 0.9560 | 0.8235 | 24 |
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- | 0.0013 | 0.9730 | 0.8235 | 25 |
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- | 0.0012 | 0.9711 | 0.8235 | 26 |
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- | 0.0012 | 0.9721 | 0.8235 | 27 |
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- | 0.0009 | 0.9739 | 0.8176 | 28 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [w11wo/indonesian-roberta-base-sentiment-classifier](https://huggingface.co/w11wo/indonesian-roberta-base-sentiment-classifier) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Train Loss: 0.0012
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  - Validation Loss: 0.9739
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  - Train Accuracy: 0.8176
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+ - Epoch: 0
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  ## Model description
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  | Train Loss | Validation Loss | Train Accuracy | Epoch |
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  |:----------:|:---------------:|:--------------:|:-----:|
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+ | 0.0012 | 0.9739 | 0.8176 | 0 |
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ### Framework versions
tf_model.h5 CHANGED
@@ -1,3 +1,3 @@
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  size 498881344
 
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