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xlm-roberta-base-finetuned-panx-de

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nerdai commited on Mar 23, 2023

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@@ -18,8 +18,8 @@ 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 the xtreme dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.1453
-- F1: 0.8648
 ## Model description
@@ -50,9 +50,9 @@ The following hyperparameters were used during training:
 | Training Loss | Epoch | Step | Validation Loss | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:------:|
-| 0.2528        | 1.0   | 968  | 0.1727          | 0.8275 |
-| 0.1308        | 2.0   | 1936 | 0.1440          | 0.8449 |
-| 0.0826        | 3.0   | 2904 | 0.1453          | 0.8648 |
 ### Framework versions

 This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on the xtreme dataset.
 It achieves the following results on the evaluation set:
+- Loss: 0.1502
+- F1: 0.8666
 ## Model description
 | Training Loss | Epoch | Step | Validation Loss | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:------:|
+| 0.2577        | 1.0   | 968  | 0.1638          | 0.8190 |
+| 0.1303        | 2.0   | 1936 | 0.1428          | 0.8526 |
+| 0.0795        | 3.0   | 2904 | 0.1502          | 0.8666 |
 ### Framework versions