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bert-base-multilingual-cased-finetuned-MeIA-AnalisisDeSentimientos

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emiliam commited on Jun 28, 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 [bert-base-multilingual-cased](https://huggingface.co/bert-base-multilingual-cased) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.1391
-- Accuracy: 0.5390
 ## Model description
@@ -48,9 +48,9 @@ The following hyperparameters were used during training:
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.7383        | 1.0   | 438  | 1.1176          | 0.5345   |
-| 0.6786        | 2.0   | 876  | 1.1391          | 0.5390   |
-| 0.6942        | 3.0   | 1314 | 1.1459          | 0.5383   |
 ### Framework versions

 This model is a fine-tuned version of [bert-base-multilingual-cased](https://huggingface.co/bert-base-multilingual-cased) on the None dataset.
 It achieves the following results on the evaluation set:
+- Loss: 1.2251
+- Accuracy: 0.4564
 ## Model description
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 1.444         | 1.0   | 438  | 1.4079          | 0.3703   |
+| 1.2567        | 2.0   | 876  | 1.2617          | 0.4430   |
+| 1.2071        | 3.0   | 1314 | 1.2251          | 0.4564   |
 ### Framework versions