Pavarissy/phayathaibert-thainer
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README.md
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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.
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- Precision: 0.
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- Recall: 0.
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- F1: 0.
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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.
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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
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runs/Dec04_14-00-05_63141ca7413b/events.out.tfevents.1701700518.63141ca7413b.637.4
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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
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