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Model save

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  1. README.md +12 -12
  2. pytorch_model.bin +1 -1
README.md CHANGED
@@ -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 [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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- - Loss: 1.4822
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- - Accuracy: 0.7983
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  ## Model description
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@@ -49,16 +49,16 @@ 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 | 270 | 0.5354 | 0.7835 |
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- | 0.532 | 2.0 | 540 | 0.6245 | 0.7567 |
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- | 0.532 | 3.0 | 810 | 0.7406 | 0.7826 |
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- | 0.1836 | 4.0 | 1080 | 1.0813 | 0.7919 |
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- | 0.1836 | 5.0 | 1350 | 1.2524 | 0.7891 |
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- | 0.0446 | 6.0 | 1620 | 1.3158 | 0.8039 |
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- | 0.0446 | 7.0 | 1890 | 1.4308 | 0.7965 |
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- | 0.0152 | 8.0 | 2160 | 1.4485 | 0.7974 |
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- | 0.0152 | 9.0 | 2430 | 1.4915 | 0.8030 |
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- | 0.0054 | 10.0 | 2700 | 1.4822 | 0.7983 |
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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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+ - Loss: 1.4094
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+ - Accuracy: 0.8048
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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 | 270 | 0.5214 | 0.7900 |
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+ | 0.5321 | 2.0 | 540 | 0.6425 | 0.7475 |
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+ | 0.5321 | 3.0 | 810 | 0.7702 | 0.7835 |
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+ | 0.1711 | 4.0 | 1080 | 1.0106 | 0.7937 |
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+ | 0.1711 | 5.0 | 1350 | 1.2141 | 0.7891 |
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+ | 0.0508 | 6.0 | 1620 | 1.3340 | 0.7965 |
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+ | 0.0508 | 7.0 | 1890 | 1.3483 | 0.8030 |
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+ | 0.0133 | 8.0 | 2160 | 1.3591 | 0.8085 |
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+ | 0.0133 | 9.0 | 2430 | 1.4149 | 0.8057 |
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+ | 0.0055 | 10.0 | 2700 | 1.4094 | 0.8048 |
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  ### Framework versions
pytorch_model.bin CHANGED
@@ -1,3 +1,3 @@
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