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Model save

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README.md CHANGED
@@ -20,11 +20,11 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [indolem/indobert-base-uncased](https://huggingface.co/indolem/indobert-base-uncased) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.2629
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- - Accuracy: 0.9511
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- - Precision: 0.9511
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- - Recall: 0.9511
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- - F1: 0.9511
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  ## Model description
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@@ -56,11 +56,11 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
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- | No log | 1.0 | 287 | 0.2033 | 0.9372 | 0.9372 | 0.9372 | 0.9372 |
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- | 0.204 | 2.0 | 574 | 0.2492 | 0.9415 | 0.9415 | 0.9415 | 0.9415 |
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- | 0.204 | 3.0 | 861 | 0.2422 | 0.9468 | 0.9468 | 0.9468 | 0.9468 |
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- | 0.094 | 4.0 | 1148 | 0.2540 | 0.9503 | 0.9503 | 0.9503 | 0.9503 |
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- | 0.094 | 5.0 | 1435 | 0.2629 | 0.9511 | 0.9511 | 0.9511 | 0.9511 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [indolem/indobert-base-uncased](https://huggingface.co/indolem/indobert-base-uncased) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.1403
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+ - Accuracy: 0.9732
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+ - Precision: 0.9732
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+ - Recall: 0.9732
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+ - F1: 0.9732
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
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+ | 0.434 | 1.0 | 550 | 0.1352 | 0.9659 | 0.9659 | 0.9659 | 0.9659 |
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+ | 0.1207 | 2.0 | 1100 | 0.1403 | 0.9732 | 0.9732 | 0.9732 | 0.9732 |
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+ | 0.091 | 3.0 | 1650 | 0.1291 | 0.9700 | 0.9700 | 0.9700 | 0.9700 |
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+ | 0.0633 | 4.0 | 2200 | 0.1367 | 0.9722 | 0.9722 | 0.9722 | 0.9722 |
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+ | 0.0463 | 5.0 | 2750 | 0.1414 | 0.9732 | 0.9732 | 0.9732 | 0.9732 |
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  ### Framework versions
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runs/Mar12_03-49-29_bc474705b6cf/events.out.tfevents.1710219821.bc474705b6cf.17373.1 ADDED
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