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End of training

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README.md CHANGED
@@ -15,10 +15,10 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [indobenchmark/indobert-large-p2](https://huggingface.co/indobenchmark/indobert-large-p2) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 2.9533
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- - F1 macro: 0.4095
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- - Weighted: 0.5682
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- - Balanced accuracy: 0.5692
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  ## Model description
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@@ -49,13 +49,13 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | F1 macro | Weighted | Balanced accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:|:-----------------:|
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- | 1.3198 | 1.0 | 152 | 1.1744 | 0.4488 | 0.6562 | 0.5330 |
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- | 0.8557 | 2.0 | 304 | 1.2512 | 0.4134 | 0.6257 | 0.5045 |
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- | 0.3232 | 3.0 | 456 | 1.5367 | 0.4114 | 0.6217 | 0.5283 |
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- | 0.1604 | 4.0 | 608 | 2.3986 | 0.4056 | 0.5813 | 0.5509 |
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- | 0.047 | 5.0 | 760 | 2.8629 | 0.3852 | 0.5435 | 0.5403 |
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- | 0.0033 | 6.0 | 912 | 2.6942 | 0.4000 | 0.5764 | 0.5535 |
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- | 0.0009 | 7.0 | 1064 | 2.9533 | 0.4095 | 0.5682 | 0.5692 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [indobenchmark/indobert-large-p2](https://huggingface.co/indobenchmark/indobert-large-p2) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 3.6437
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+ - F1 macro: 0.3699
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+ - Weighted: 0.5424
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+ - Balanced accuracy: 0.5126
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | F1 macro | Weighted | Balanced accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:|:-----------------:|
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+ | 0.0019 | 1.0 | 152 | 3.2735 | 0.3877 | 0.5591 | 0.5253 |
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+ | 0.2688 | 2.0 | 304 | 3.5136 | 0.3514 | 0.5097 | 0.4996 |
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+ | 0.0489 | 3.0 | 456 | 2.9516 | 0.3901 | 0.5839 | 0.5222 |
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+ | 0.0002 | 4.0 | 608 | 3.6103 | 0.3636 | 0.5354 | 0.4996 |
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+ | 0.0003 | 5.0 | 760 | 3.6417 | 0.3695 | 0.5374 | 0.5234 |
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+ | 0.0001 | 6.0 | 912 | 3.6270 | 0.3699 | 0.5424 | 0.5126 |
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+ | 0.0001 | 7.0 | 1064 | 3.6437 | 0.3699 | 0.5424 | 0.5126 |
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  ### Framework versions
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