gabrielgmendonca
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bert-base-portuguese-cased-finetuned-chico-xavier

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gabrielgmendonca commited on Nov 8, 2022

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update model card README.md

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@@ -14,7 +14,7 @@ should probably proofread and complete it, then remove this comment. -->
 This model is a fine-tuned version of [neuralmind/bert-base-portuguese-cased](https://huggingface.co/neuralmind/bert-base-portuguese-cased) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.9544
 ## Model description
@@ -46,9 +46,9 @@ The following hyperparameters were used during training:
 | Training Loss | Epoch | Step | Validation Loss |
 |:-------------:|:-----:|:----:|:---------------:|
-| 2.3116        | 1.0   | 157  | 2.0288          |
-| 2.097         | 2.0   | 314  | 1.9837          |
-| 2.0608        | 3.0   | 471  | 1.9755          |
 ### Framework versions
@@ -56,4 +56,4 @@ The following hyperparameters were used during training:
 - Transformers 4.24.0
 - Pytorch 1.12.1+cu113
 - Datasets 2.6.1
-- Tokenizers 0.13.1

 This model is a fine-tuned version of [neuralmind/bert-base-portuguese-cased](https://huggingface.co/neuralmind/bert-base-portuguese-cased) on the None dataset.
 It achieves the following results on the evaluation set:
+- Loss: 1.7196
 ## Model description
 | Training Loss | Epoch | Step | Validation Loss |
 |:-------------:|:-----:|:----:|:---------------:|
+| 2.0733        | 1.0   | 561  | 1.8147          |
+| 1.8779        | 2.0   | 1122 | 1.7624          |
+| 1.8345        | 3.0   | 1683 | 1.7206          |
 ### Framework versions
 - Transformers 4.24.0
 - Pytorch 1.12.1+cu113
 - Datasets 2.6.1
+- Tokenizers 0.13.2