End of training

README.md

@@ -1,11 +1,11 @@
 ---
-base_model: bert-base-cased
 library_name: transformers
 license: apache-2.0
-metrics:
-- accuracy
+base_model: bert-base-cased
 tags:
 - generated_from_trainer
+metrics:
+- accuracy
 model-index:
 - name: mi-super-modelo
   results: []
@@ -18,8 +18,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.6244
-- Accuracy: 0.2
+- Loss: 1.5751
+- Accuracy: 0.325
 
 ## Model description
 
@@ -50,8 +50,8 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 1.7017        | 0.5   | 5    | 1.6500          | 0.2      |
-| 1.606         | 1.0   | 10   | 1.6244          | 0.2      |
+| 1.6676        | 0.5   | 5    | 1.5909          | 0.2625   |
+| 1.5808        | 1.0   | 10   | 1.5751          | 0.325    |
 
 
 ### Framework versions