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fine-tuned-DatasetQAS-Squad-ID-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: 1.5472
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- - Exact Match: 48.2207
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- - F1: 64.5835
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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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- | 2.0214 | 0.5 | 463 | 1.8592 | 38.9585 | 54.5347 |
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- | 1.855 | 1.0 | 926 | 1.6866 | 42.8199 | 58.2401 |
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- | 1.6398 | 1.5 | 1389 | 1.6096 | 44.7800 | 61.0696 |
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- | 1.6149 | 2.0 | 1852 | 1.5682 | 46.2017 | 62.7556 |
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- | 1.4926 | 2.5 | 2315 | 1.5560 | 46.9084 | 63.8907 |
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- | 1.5038 | 3.0 | 2778 | 1.5207 | 47.3206 | 64.1079 |
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- | 1.3919 | 3.5 | 3241 | 1.5204 | 47.6403 | 64.2273 |
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- | 1.369 | 4.0 | 3704 | 1.5088 | 47.8758 | 64.3187 |
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- | 1.3245 | 4.5 | 4167 | 1.5210 | 48.0357 | 64.3941 |
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- | 1.306 | 5.0 | 4630 | 1.5084 | 48.2544 | 64.3958 |
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- | 1.2752 | 5.5 | 5093 | 1.5190 | 48.2965 | 64.7245 |
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- | 1.2028 | 6.0 | 5556 | 1.5170 | 48.1198 | 64.3217 |
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- | 1.1855 | 6.5 | 6019 | 1.5252 | 48.0777 | 64.5928 |
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- | 1.2214 | 7.0 | 6482 | 1.5092 | 48.5993 | 64.7737 |
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- | 1.1613 | 7.5 | 6945 | 1.5318 | 48.4479 | 64.7086 |
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- | 1.1634 | 8.0 | 7408 | 1.5261 | 48.3049 | 64.6614 |
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- | 1.1056 | 8.5 | 7871 | 1.5472 | 48.2207 | 64.5835 |
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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: 1.5296
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+ - Exact Match: 48.5657
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+ - F1: 64.5763
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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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+ | 2.0185 | 0.5 | 463 | 1.8556 | 39.4128 | 54.9486 |
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+ | 1.8481 | 1.0 | 926 | 1.6794 | 43.1985 | 58.7955 |
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+ | 1.6413 | 1.5 | 1389 | 1.6081 | 45.2091 | 61.6638 |
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+ | 1.611 | 2.0 | 1852 | 1.5670 | 45.9241 | 62.7351 |
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+ | 1.4929 | 2.5 | 2315 | 1.5571 | 46.5298 | 63.3878 |
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+ | 1.5119 | 3.0 | 2778 | 1.5222 | 47.2785 | 64.2211 |
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+ | 1.3955 | 3.5 | 3241 | 1.5285 | 47.6235 | 64.2546 |
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+ | 1.3643 | 4.0 | 3704 | 1.5133 | 47.9179 | 64.1430 |
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+ | 1.3277 | 4.5 | 4167 | 1.5223 | 47.8927 | 64.3061 |
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+ | 1.3058 | 5.0 | 4630 | 1.5126 | 48.6498 | 64.5757 |
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+ | 1.2847 | 5.5 | 5093 | 1.5154 | 48.4479 | 64.5972 |
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+ | 1.1984 | 6.0 | 5556 | 1.5289 | 48.4815 | 64.4181 |
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+ | 1.1817 | 6.5 | 6019 | 1.5277 | 48.4395 | 64.7923 |
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+ | 1.2203 | 7.0 | 6482 | 1.5134 | 48.5404 | 64.5935 |
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+ | 1.1492 | 7.5 | 6945 | 1.5412 | 48.6330 | 64.6696 |
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+ | 1.1567 | 8.0 | 7408 | 1.5296 | 48.5657 | 64.5763 |
 
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  ### Framework versions