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Pavarissy/phayathaibert-thainer

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README.md CHANGED
@@ -19,10 +19,10 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [clicknext/phayathaibert](https://huggingface.co/clicknext/phayathaibert) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.1320
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- - Precision: 0.8493
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- - Recall: 0.8937
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- - F1: 0.8710
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  - Accuracy: 0.9735
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
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- | No log | 1.0 | 493 | 0.1341 | 0.7524 | 0.8047 | 0.7777 | 0.9630 |
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- | 0.2346 | 2.0 | 986 | 0.1117 | 0.8015 | 0.8499 | 0.8250 | 0.9702 |
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- | 0.0922 | 3.0 | 1479 | 0.1173 | 0.8192 | 0.8716 | 0.8446 | 0.9719 |
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- | 0.059 | 4.0 | 1972 | 0.1157 | 0.8275 | 0.8744 | 0.8503 | 0.9725 |
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- | 0.0419 | 5.0 | 2465 | 0.1203 | 0.8149 | 0.8766 | 0.8446 | 0.9732 |
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- | 0.0297 | 6.0 | 2958 | 0.1335 | 0.8361 | 0.8802 | 0.8576 | 0.9736 |
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- | 0.0237 | 7.0 | 3451 | 0.1335 | 0.8394 | 0.8798 | 0.8591 | 0.9745 |
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- | 0.0161 | 8.0 | 3944 | 0.1383 | 0.8409 | 0.8843 | 0.8621 | 0.9744 |
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- | 0.0133 | 9.0 | 4437 | 0.1457 | 0.8446 | 0.8828 | 0.8633 | 0.9743 |
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- | 0.01 | 10.0 | 4930 | 0.1437 | 0.8433 | 0.8811 | 0.8618 | 0.9747 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [clicknext/phayathaibert](https://huggingface.co/clicknext/phayathaibert) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.1324
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+ - Precision: 0.8432
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+ - Recall: 0.8915
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+ - F1: 0.8666
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  - Accuracy: 0.9735
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  ## Model description
 
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  | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
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+ | No log | 1.0 | 493 | 0.1401 | 0.7300 | 0.7941 | 0.7607 | 0.9607 |
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+ | 0.3499 | 2.0 | 986 | 0.1201 | 0.7863 | 0.8464 | 0.8152 | 0.9688 |
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+ | 0.0961 | 3.0 | 1479 | 0.1169 | 0.8050 | 0.8663 | 0.8345 | 0.9715 |
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+ | 0.0617 | 4.0 | 1972 | 0.1137 | 0.8155 | 0.8656 | 0.8398 | 0.9718 |
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+ | 0.0438 | 5.0 | 2465 | 0.1280 | 0.8201 | 0.8714 | 0.8450 | 0.9725 |
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+ | 0.0302 | 6.0 | 2958 | 0.1386 | 0.8266 | 0.8730 | 0.8492 | 0.9726 |
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+ | 0.0239 | 7.0 | 3451 | 0.1401 | 0.8353 | 0.8789 | 0.8565 | 0.9733 |
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+ | 0.0166 | 8.0 | 3944 | 0.1444 | 0.8356 | 0.8782 | 0.8564 | 0.9738 |
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+ | 0.0139 | 9.0 | 4437 | 0.1530 | 0.8341 | 0.8785 | 0.8557 | 0.9735 |
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+ | 0.0106 | 10.0 | 4930 | 0.1508 | 0.8394 | 0.8782 | 0.8583 | 0.9738 |
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  ### Framework versions
runs/Dec04_14-00-05_63141ca7413b/events.out.tfevents.1701700518.63141ca7413b.637.4 ADDED
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+ version https://git-lfs.github.com/spec/v1
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+ oid sha256:01fc7790cb940610ab57b29a4a4d2bec7c0f6798b265661b097dc39aef3bbbe3
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+ size 560