vg055
/

distilbert-base-multilingual-cased-finetuned-MeIA-AnalisisDeSentimientos

Text Classification

generated_from_trainer

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vg055 commited on Jun 29, 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 [distilbert-base-multilingual-cased](https://huggingface.co/distilbert-base-multilingual-cased) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.0250
-- F1: 0.5436
 ## Model description
@@ -48,8 +48,8 @@ The following hyperparameters were used during training:
 | Training Loss | Epoch | Step | Validation Loss | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:------:|
-| 1.0805        | 1.0   | 766  | 1.0740          | 0.4975 |
-| 0.963         | 2.0   | 1532 | 1.0250          | 0.5436 |
 ### Framework versions

 This model is a fine-tuned version of [distilbert-base-multilingual-cased](https://huggingface.co/distilbert-base-multilingual-cased) on the None dataset.
 It achieves the following results on the evaluation set:
+- Loss: 1.0243
+- F1: 0.5454
 ## Model description
 | Training Loss | Epoch | Step | Validation Loss | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:------:|
+| 1.0835        | 1.0   | 766  | 1.1722          | 0.4787 |
+| 0.9631        | 2.0   | 1532 | 1.0243          | 0.5454 |
 ### Framework versions