Eikei
/

large-bert-cased-ner-finetuned-wikineural-final

Token Classification

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Eikei commited on Oct 31, 2023

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dd78f7a

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1 Parent(s): e86b623

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README.md +6 -6

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@@ -18,11 +18,11 @@ should probably proofread and complete it, then remove this comment. -->
 This model was trained from scratch on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.0576
-- Precision: 0.9050
-- Recall: 0.9142
-- F1: 0.9096
-- Accuracy: 0.9860
 ## Model description
@@ -53,7 +53,7 @@ The following hyperparameters were used during training:
 | Training Loss | Epoch | Step  | Validation Loss | Precision | Recall | F1     | Accuracy |
 |:-------------:|:-----:|:-----:|:---------------:|:---------:|:------:|:------:|:--------:|
-| 0.0313        | 1.0   | 10321 | 0.0576          | 0.9050    | 0.9142 | 0.9096 | 0.9860   |
 ### Framework versions

 This model was trained from scratch on the None dataset.
 It achieves the following results on the evaluation set:
+- Loss: 0.0692
+- Precision: 0.9032
+- Recall: 0.9117
+- F1: 0.9075
+- Accuracy: 0.9857
 ## Model description
 | Training Loss | Epoch | Step  | Validation Loss | Precision | Recall | F1     | Accuracy |
 |:-------------:|:-----:|:-----:|:---------------:|:---------:|:------:|:------:|:--------:|
+| 0.0273        | 1.0   | 10321 | 0.0692          | 0.9032    | 0.9117 | 0.9075 | 0.9857   |
 ### Framework versions