End of training

README.md

@@ -17,9 +17,9 @@ 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 None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.5410
+- Loss: 0.5281
 - Accuracy: 0.755
-- F1: 0.8236
+- F1: 0.8251
 
 ## Model description
 
@@ -50,8 +50,8 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
-| No log        | 1.0   | 376  | 0.5455          | 0.73     | 0.8146 |
-| 0.6185        | 2.0   | 752  | 0.5410          | 0.755    | 0.8236 |
+| No log        | 1.0   | 376  | 0.5435          | 0.741    | 0.8198 |
+| 0.6199        | 2.0   | 752  | 0.5281          | 0.755    | 0.8251 |
 
 
 ### Framework versions

pytorch_model.bin

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runs/Jul03_06-36-36_d488a7be72c4/events.out.tfevents.1688366336.d488a7be72c4.483.0

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