yokonav
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xlm-roberta-base-finetuned-marc-en

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yokonav commited on Oct 22, 2021

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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 amazon_reviews_multi dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.9407
-- Mae: 0.5
 ## Model description
@@ -48,8 +48,8 @@ The following hyperparameters were used during training:
 | Training Loss | Epoch | Step | Validation Loss | Mae    |
 |:-------------:|:-----:|:----:|:---------------:|:------:|
-| 1.1083        | 1.0   | 235  | 0.9483          | 0.5122 |
-| 0.9549        | 2.0   | 470  | 0.9407          | 0.5    |
 ### Framework versions

 This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on the amazon_reviews_multi dataset.
 It achieves the following results on the evaluation set:
+- Loss: 0.9177
+- Mae: 0.4756
 ## Model description
 | Training Loss | Epoch | Step | Validation Loss | Mae    |
 |:-------------:|:-----:|:----:|:---------------:|:------:|
+| 1.136         | 1.0   | 235  | 0.9515          | 0.4756 |
+| 0.9724        | 2.0   | 470  | 0.9177          | 0.4756 |
 ### Framework versions