Training in progress epoch 8

README.md

@@ -15,7 +15,7 @@ probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [PlanTL-GOB-ES/roberta-base-bne](https://huggingface.co/PlanTL-GOB-ES/roberta-base-bne) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 12.0507
+- Train Loss: 12.2918
 - Validation Loss: 11.7955
 - Train Accuracy: 0.7647
 - Train Precision: [0.         0.76470588]
@@ -24,7 +24,7 @@ It achieves the following results on the evaluation set:
 - Train Recall W: 0.7647
 - Train F1: [0.         0.86666667]
 - Train F1 W: 0.6627
-- Epoch: 7
+- Epoch: 8
 
 ## Model description
 
@@ -57,6 +57,7 @@ The following hyperparameters were used during training:
 | 12.2918    | 11.7955         | 0.7647         | [0.         0.76470588] | 0.5848            | [0. 1.]      | 0.7647         | [0.         0.86666667] | 0.6627     | 5     |
 | 12.5328    | 11.7955         | 0.7647         | [0.         0.76470588] | 0.5848            | [0. 1.]      | 0.7647         | [0.         0.86666667] | 0.6627     | 6     |
 | 12.0507    | 11.7955         | 0.7647         | [0.         0.76470588] | 0.5848            | [0. 1.]      | 0.7647         | [0.         0.86666667] | 0.6627     | 7     |
+| 12.2918    | 11.7955         | 0.7647         | [0.         0.76470588] | 0.5848            | [0. 1.]      | 0.7647         | [0.         0.86666667] | 0.6627     | 8     |
 
 
 ### Framework versions