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xlm-roberta-base-finetuned-panx-de-fr

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khadija267 commited on Apr 25, 2023

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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 the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.1606
-- F1: 0.8620
 ## Model description
@@ -48,9 +48,9 @@ The following hyperparameters were used during training:
 | Training Loss | Epoch | Step | Validation Loss | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:------:|
-| 0.2873        | 1.0   | 715  | 0.1802          | 0.8245 |
-| 0.1446        | 2.0   | 1430 | 0.1601          | 0.8512 |
-| 0.0925        | 3.0   | 2145 | 0.1606          | 0.8620 |
 ### Framework versions

 This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on the None dataset.
 It achieves the following results on the evaluation set:
+- Loss: 0.1645
+- F1: 0.8592
 ## Model description
 | Training Loss | Epoch | Step | Validation Loss | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:------:|
+| 0.29          | 1.0   | 715  | 0.1809          | 0.8196 |
+| 0.1462        | 2.0   | 1430 | 0.1628          | 0.8484 |
+| 0.0936        | 3.0   | 2145 | 0.1645          | 0.8592 |
 ### Framework versions