sedaorcin
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multilingual-xlm-roberta-for-ner

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sedaorcin commited on May 10

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update model card README.md

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@@ -16,8 +16,8 @@ should probably proofread and complete it, then remove this comment. -->
 This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.1367
-- F1: 0.8605
 ## Model description
@@ -48,9 +48,9 @@ The following hyperparameters were used during training:
 | Training Loss | Epoch | Step | Validation Loss | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:------:|
-| 0.273         | 1.0   | 525  | 0.1528          | 0.8370 |
-| 0.1262        | 2.0   | 1050 | 0.1415          | 0.8464 |
-| 0.0817        | 3.0   | 1575 | 0.1367          | 0.8605 |
 ### Framework versions

 This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on an unknown dataset.
 It achieves the following results on the evaluation set:
+- Loss: 0.1370
+- F1: 0.8653
 ## Model description
 | Training Loss | Epoch | Step | Validation Loss | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:------:|
+| 0.265         | 1.0   | 525  | 0.1523          | 0.8249 |
+| 0.1281        | 2.0   | 1050 | 0.1402          | 0.8554 |
+| 0.0818        | 3.0   | 1575 | 0.1370          | 0.8653 |
 ### Framework versions