End of training

README.md

@@ -17,8 +17,8 @@ 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 an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.2539
-- Accuracy: 0.9422
+- Loss: 0.2711
+- Accuracy: 0.9396
 
 ## Model description
 
@@ -51,9 +51,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.2695        | 1.0   | 623  | 0.1796          | 0.9356   |
-| 0.1537        | 2.0   | 1246 | 0.2242          | 0.9410   |
-| 0.0991        | 3.0   | 1869 | 0.2539          | 0.9422   |
+| 0.2346        | 1.0   | 623  | 0.1814          | 0.9370   |
+| 0.1529        | 2.0   | 1246 | 0.2790          | 0.9386   |
+| 0.0968        | 3.0   | 1869 | 0.2711          | 0.9396   |
 
 
 ### Framework versions

model.safetensors

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runs/Jan04_11-46-22_892627bc2990/events.out.tfevents.1704368825.892627bc2990.3136.1

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