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Indo-LegalBERT

Inference Endpoints

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maulairfani commited on Jul 24, 2023

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update model card README.md

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@@ -15,7 +15,7 @@ should probably proofread and complete it, then remove this comment. -->
 This model is a fine-tuned version of [indobenchmark/indobert-base-p2](https://huggingface.co/indobenchmark/indobert-base-p2) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 5.9725
 ## Model description
@@ -46,7 +46,7 @@ The following hyperparameters were used during training:
 | Training Loss | Epoch | Step | Validation Loss |
 |:-------------:|:-----:|:----:|:---------------:|
-| 6.8727        | 1.0   | 46   | 5.9207          |
 ### Framework versions

 This model is a fine-tuned version of [indobenchmark/indobert-base-p2](https://huggingface.co/indobenchmark/indobert-base-p2) on an unknown dataset.
 It achieves the following results on the evaluation set:
+- Loss: 5.6121
 ## Model description
 | Training Loss | Epoch | Step | Validation Loss |
 |:-------------:|:-----:|:----:|:---------------:|
+| 5.9701        | 1.0   | 93   | 5.5903          |
 ### Framework versions