End of training

README.md

@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.8957894736842106
+      value: 0.89
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -32,9 +32,9 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on the ag_news dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.4418
-- Accuracy: 0.8958
-- F1-score: 0.8952
+- Loss: 0.4016
+- Accuracy: 0.89
+- F1-score: 0.8903
 
 ## Model description
 
@@ -66,11 +66,11 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1-score |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:|
-| 0.4326        | 1.0   | 500  | 0.5287          | 0.8921   | 0.8914   |
-| 0.2381        | 2.0   | 1000 | 0.4418          | 0.8958   | 0.8952   |
-| 0.095         | 3.0   | 1500 | 0.5376          | 0.8937   | 0.8932   |
-| 0.1567        | 4.0   | 2000 | 0.4580          | 0.9084   | 0.9082   |
-| 0.1069        | 5.0   | 2500 | 0.4800          | 0.9132   | 0.9129   |
+| 0.5297        | 1.0   | 250  | 0.4016          | 0.89     | 0.8903   |
+| 0.4108        | 2.0   | 500  | 0.4182          | 0.8863   | 0.8865   |
+| 0.2583        | 3.0   | 750  | 0.5196          | 0.8958   | 0.8955   |
+| 0.0053        | 4.0   | 1000 | 0.5965          | 0.8884   | 0.8884   |
+| 0.0037        | 5.0   | 1250 | 0.5868          | 0.8911   | 0.8906   |
 
 
 ### Framework versions

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