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fine-tuned-DatasetQAS-IDK-MRC-with-indobert-base-uncased-with-ITTL-without-freeze-LR-1e-05

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update model card README.md

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@@ -16,9 +16,9 @@ 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: 1.0515
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- - Exact Match: 65.9686
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- - F1: 71.4684
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  ## Model description
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@@ -51,26 +51,26 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Exact Match | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:-----------:|:-------:|
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- | 6.1822 | 0.49 | 36 | 2.5004 | 49.8691 | 49.8691 |
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- | 3.6893 | 0.98 | 72 | 1.9896 | 49.8691 | 49.8691 |
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- | 2.2116 | 1.48 | 108 | 1.8516 | 49.2147 | 49.7070 |
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- | 2.2116 | 1.97 | 144 | 1.7367 | 50.1309 | 52.0399 |
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- | 1.9945 | 2.46 | 180 | 1.5956 | 51.7016 | 56.3444 |
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- | 1.7443 | 2.95 | 216 | 1.4508 | 54.9738 | 59.4030 |
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- | 1.5782 | 3.45 | 252 | 1.3234 | 59.9476 | 65.0857 |
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- | 1.5782 | 3.94 | 288 | 1.2652 | 58.1152 | 63.9949 |
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- | 1.4004 | 4.44 | 324 | 1.1784 | 62.0419 | 67.5268 |
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- | 1.241 | 4.93 | 360 | 1.1573 | 60.4712 | 66.5284 |
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- | 1.241 | 5.42 | 396 | 1.1217 | 62.4346 | 67.8923 |
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- | 1.1603 | 5.91 | 432 | 1.0997 | 63.3508 | 68.7351 |
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- | 1.0849 | 6.41 | 468 | 1.0832 | 64.3979 | 69.5781 |
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- | 1.0209 | 6.9 | 504 | 1.0773 | 64.0052 | 69.3072 |
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- | 1.0209 | 7.4 | 540 | 1.0500 | 65.0524 | 70.4355 |
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- | 0.9802 | 7.89 | 576 | 1.0644 | 65.3141 | 70.7507 |
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- | 0.9536 | 8.38 | 612 | 1.0516 | 65.5759 | 70.9704 |
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- | 0.9536 | 8.87 | 648 | 1.0395 | 65.4450 | 71.2117 |
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- | 0.9319 | 9.37 | 684 | 1.0411 | 65.8377 | 71.3692 |
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- | 0.9091 | 9.86 | 720 | 1.0515 | 65.9686 | 71.4684 |
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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: 1.0860
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+ - Exact Match: 64.7906
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+ - F1: 70.2020
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Exact Match | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:-----------:|:-------:|
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+ | 6.2255 | 0.49 | 36 | 2.4921 | 50.0 | 50.0 |
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+ | 3.6958 | 0.98 | 72 | 1.9696 | 49.6073 | 49.8277 |
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+ | 2.2068 | 1.48 | 108 | 1.8415 | 47.3822 | 48.9302 |
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+ | 2.2068 | 1.97 | 144 | 1.7148 | 48.1675 | 51.1818 |
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+ | 1.9768 | 2.46 | 180 | 1.5553 | 51.8325 | 56.0847 |
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+ | 1.7318 | 2.95 | 216 | 1.4373 | 55.1047 | 59.8473 |
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+ | 1.5469 | 3.45 | 252 | 1.2970 | 58.3770 | 63.3911 |
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+ | 1.5469 | 3.94 | 288 | 1.2882 | 58.9005 | 64.0631 |
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+ | 1.3771 | 4.44 | 324 | 1.2048 | 62.0419 | 66.6696 |
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+ | 1.2296 | 4.93 | 360 | 1.1860 | 61.7801 | 66.8504 |
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+ | 1.2296 | 5.42 | 396 | 1.1807 | 60.3403 | 65.5550 |
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+ | 1.1715 | 5.91 | 432 | 1.1330 | 62.6963 | 67.5995 |
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+ | 1.0833 | 6.41 | 468 | 1.1292 | 62.8272 | 67.7732 |
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+ | 1.025 | 6.9 | 504 | 1.1256 | 63.3508 | 68.7945 |
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+ | 1.025 | 7.4 | 540 | 1.0740 | 64.5288 | 69.8302 |
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+ | 1.0033 | 7.89 | 576 | 1.0828 | 64.5288 | 69.8559 |
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+ | 0.9603 | 8.38 | 612 | 1.0870 | 63.7435 | 69.1867 |
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+ | 0.9603 | 8.87 | 648 | 1.0655 | 65.9686 | 70.8956 |
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+ | 0.94 | 9.37 | 684 | 1.0717 | 65.3141 | 70.5016 |
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+ | 0.9259 | 9.86 | 720 | 1.0860 | 64.7906 | 70.2020 |
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  ### Framework versions