Model save

README.md

@@ -17,8 +17,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [BSC-LT/roberta-base-bne](https://huggingface.co/BSC-LT/roberta-base-bne) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.6565
-- Accuracy: 0.8238
+- Loss: 0.5312
+- Accuracy: 0.8260
 
 ## Model description
 
@@ -53,13 +53,11 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 1.2865        | 1.0   | 158  | 0.6086          | 0.7823   |
-| 0.513         | 2.0   | 316  | 0.4727          | 0.8254   |
-| 0.4104        | 3.0   | 474  | 0.5053          | 0.8241   |
-| 0.2923        | 4.0   | 632  | 0.4735          | 0.8327   |
-| 0.2208        | 5.0   | 790  | 0.5097          | 0.8327   |
-| 0.1408        | 6.0   | 948  | 0.5676          | 0.8343   |
-| 0.112         | 7.0   | 1106 | 0.6565          | 0.8238   |
+| 1.3007        | 1.0   | 158  | 0.6027          | 0.7798   |
+| 0.5036        | 2.0   | 316  | 0.4827          | 0.8213   |
+| 0.3994        | 3.0   | 474  | 0.4975          | 0.8213   |
+| 0.2731        | 4.0   | 632  | 0.4928          | 0.8181   |
+| 0.2132        | 5.0   | 790  | 0.5312          | 0.8260   |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:b8807c3c27ab0ab17373c1153ba199964a24e43d6ad06aadf070c6c5dc130a64
 size 498612836