indonesian roberta base posp tagger This model is a fine tuned version of flax community/indonesian roberta base on the indonlu dataset. It achieves the following results on the evaluation set: Loss: 0.1395 Precision: 0.9625 Recall: 0.9625 F1: 0.9625 Accuracy: 0.9625 Model description More information needed Intended uses & limitations More information needed Training and evaluation data More information needed Training procedure Training hyperparameters The following hyperparameters were used during training: learning rate: 2e 05 train batch size: 16 eval batch size: 16 seed: 42 optimizer: Adam with betas=(0.9,0.999) and epsilon=1e 08 lr scheduler type: linear num epochs: 10 Training results Training Loss Epoch Step Validation Loss Precision Recall F1 Accuracy : : : : : : : : : : : : : : : : No log 1.0 420 0.2254 0.9313 0.9313 0.9313 0.9313 0.4398 2.0 840 0.1617 0.9499 0.9499 0.9499 0.9499 0.1566 3.0 1260 0.1431 0.9569 0.9569 0.9569 0.9569 0.103 4.0 1680 0.1412 0.9605 0.9605 0.9605 0.9605 0.0723 5.0 2100 0.1408 0.9635 0.9635 0.9635 0.9635 0.051 6.0 2520 0.1408 0.9642 0.9642 0.9642 0.9642 0.051 7.0 2940 0.1510 0.9635 0.9635 0.9635 0.9635 0.0368 8.0 3360 0.1653 0.9645 0.9645 0.9645…
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