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End of training

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README.md CHANGED
@@ -15,12 +15,12 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [vinai/bartpho-word-base](https://huggingface.co/vinai/bartpho-word-base) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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  - Loss: 0.0119
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- - F1 Micro: 0.7432
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- - Recall Micro: 0.6664
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- - Precision Micro: 0.8399
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- - F1 Macro: 0.1835
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- - Recall Macro: 0.1759
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- - Precision Macro: 0.1941
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  ## Model description
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@@ -53,11 +53,11 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | F1 Micro | Recall Micro | Precision Micro | F1 Macro | Recall Macro | Precision Macro |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:------------:|:---------------:|:--------:|:------------:|:---------------:|
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- | No log | 1.0 | 373 | 0.0155 | 0.7319 | 0.6617 | 0.8189 | 0.1701 | 0.1761 | 0.1689 |
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- | 0.0444 | 2.0 | 746 | 0.0124 | 0.7406 | 0.6612 | 0.8416 | 0.1673 | 0.1548 | 0.1917 |
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- | 0.0132 | 3.0 | 1119 | 0.0124 | 0.7327 | 0.6526 | 0.8353 | 0.1799 | 0.1788 | 0.1882 |
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- | 0.0132 | 4.0 | 1492 | 0.0121 | 0.7488 | 0.6870 | 0.8229 | 0.1763 | 0.1573 | 0.2042 |
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- | 0.0103 | 5.0 | 1865 | 0.0119 | 0.7432 | 0.6664 | 0.8399 | 0.1835 | 0.1759 | 0.1941 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [vinai/bartpho-word-base](https://huggingface.co/vinai/bartpho-word-base) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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  - Loss: 0.0119
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+ - F1 Micro: 0.7410
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+ - Recall Micro: 0.6625
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+ - Precision Micro: 0.8405
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+ - F1 Macro: 0.1860
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+ - Recall Macro: 0.1842
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+ - Precision Macro: 0.1913
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | F1 Micro | Recall Micro | Precision Micro | F1 Macro | Recall Macro | Precision Macro |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:------------:|:---------------:|:--------:|:------------:|:---------------:|
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+ | No log | 1.0 | 373 | 0.0157 | 0.7226 | 0.6524 | 0.8096 | 0.1610 | 0.1642 | 0.1658 |
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+ | 0.1287 | 2.0 | 746 | 0.0127 | 0.7332 | 0.6505 | 0.8399 | 0.1715 | 0.1628 | 0.1853 |
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+ | 0.0132 | 3.0 | 1119 | 0.0130 | 0.7253 | 0.6411 | 0.8351 | 0.1860 | 0.2003 | 0.1825 |
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+ | 0.0132 | 4.0 | 1492 | 0.0118 | 0.7422 | 0.6782 | 0.8195 | 0.1746 | 0.1612 | 0.1978 |
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+ | 0.0104 | 5.0 | 1865 | 0.0119 | 0.7410 | 0.6625 | 0.8405 | 0.1860 | 0.1842 | 0.1913 |
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  ### Framework versions
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