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End of training

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@@ -17,8 +17,8 @@ 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 an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.8981
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- - Accuracy: 0.5818
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  ## Model description
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@@ -49,21 +49,21 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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- | No log | 1.0 | 220 | 1.0490 | 0.5091 |
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- | No log | 2.0 | 440 | 0.9815 | 0.5182 |
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- | 1.0255 | 3.0 | 660 | 0.9462 | 0.5455 |
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- | 1.0255 | 4.0 | 880 | 0.9429 | 0.5545 |
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- | 0.862 | 5.0 | 1100 | 0.9189 | 0.5636 |
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- | 0.862 | 6.0 | 1320 | 0.9143 | 0.5727 |
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- | 0.7694 | 7.0 | 1540 | 0.9051 | 0.5545 |
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- | 0.7694 | 8.0 | 1760 | 0.9033 | 0.5545 |
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- | 0.7694 | 9.0 | 1980 | 0.9024 | 0.5636 |
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- | 0.7092 | 10.0 | 2200 | 0.9031 | 0.5636 |
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- | 0.7092 | 11.0 | 2420 | 0.9067 | 0.5909 |
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- | 0.65 | 12.0 | 2640 | 0.8994 | 0.5636 |
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- | 0.65 | 13.0 | 2860 | 0.8963 | 0.5727 |
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- | 0.63 | 14.0 | 3080 | 0.8971 | 0.5727 |
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- | 0.63 | 15.0 | 3300 | 0.8981 | 0.5818 |
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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 an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.7765
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+ - Accuracy: 0.7
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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+ | No log | 1.0 | 220 | 1.0495 | 0.4545 |
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+ | No log | 2.0 | 440 | 0.9717 | 0.5455 |
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+ | 1.0123 | 3.0 | 660 | 0.9364 | 0.5455 |
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+ | 1.0123 | 4.0 | 880 | 0.9131 | 0.6091 |
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+ | 0.8474 | 5.0 | 1100 | 0.8749 | 0.6182 |
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+ | 0.8474 | 6.0 | 1320 | 0.8536 | 0.6182 |
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+ | 0.7489 | 7.0 | 1540 | 0.8442 | 0.6364 |
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+ | 0.7489 | 8.0 | 1760 | 0.8273 | 0.6545 |
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+ | 0.7489 | 9.0 | 1980 | 0.8097 | 0.6636 |
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+ | 0.6829 | 10.0 | 2200 | 0.8013 | 0.6455 |
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+ | 0.6829 | 11.0 | 2420 | 0.7983 | 0.6636 |
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+ | 0.6301 | 12.0 | 2640 | 0.7850 | 0.6818 |
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+ | 0.6301 | 13.0 | 2860 | 0.7800 | 0.6909 |
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+ | 0.6057 | 14.0 | 3080 | 0.7774 | 0.6909 |
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+ | 0.6057 | 15.0 | 3300 | 0.7765 | 0.7 |
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  ### Framework versions