small e czech finetuned ner wikiann This model is a fine tuned version of Seznam/small e czech on the wikiann dataset. It achieves the following results on the evaluation set: Loss: 0.2547 Precision: 0.8713 Recall: 0.8970 F1: 0.8840 Accuracy: 0.9557 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: 8 eval batch size: 8 seed: 42 optimizer: Adam with betas=(0.9,0.999) and epsilon=1e 08 lr scheduler type: linear num epochs: 20 Training results Training Loss Epoch Step Validation Loss Precision Recall F1 Accuracy : : : : : : : : : : : : : : : : 0.2924 1.0 2500 0.2449 0.7686 0.8088 0.7882 0.9320 0.2042 2.0 5000 0.2137 0.8050 0.8398 0.8220 0.9400 0.1699 3.0 7500 0.1912 0.8236 0.8593 0.8411 0.9466 0.1419 4.0 10000 0.1931 0.8349 0.8671 0.8507 0.9488 0.1316 5.0 12500 0.1892 0.8470 0.8776 0.8620 0.9519 0.1042 6.0 15000 0.2058 0.8433 0.8811 0.8618 0.9508 0.0884 7.0 17500 0.2020 0.8602 0.8849 0.8724 0.9531 0.0902 8.0 20000 0.2118 0.8551 0.8837 0.8692 0.9528 0.0…
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