End of training

README.md

@@ -14,13 +14,13 @@ probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 0.8705
-- Train End Logits Accuracy: 0.9195
-- Train Start Logits Accuracy: 0.9166
-- Validation Loss: 0.4475
+- Train Loss: 0.4009
+- Train End Logits Accuracy: 0.9385
+- Train Start Logits Accuracy: 0.9380
+- Validation Loss: 0.3920
 - Validation End Logits Accuracy: 0.9424
-- Validation Start Logits Accuracy: 0.9424
-- Epoch: 0
+- Validation Start Logits Accuracy: 0.9377
+- Epoch: 1
 
 ## Model description
 
@@ -47,6 +47,7 @@ The following hyperparameters were used during training:
 | Train Loss | Train End Logits Accuracy | Train Start Logits Accuracy | Validation Loss | Validation End Logits Accuracy | Validation Start Logits Accuracy | Epoch |
 |:----------:|:-------------------------:|:---------------------------:|:---------------:|:------------------------------:|:--------------------------------:|:-----:|
 | 0.8705     | 0.9195                    | 0.9166                      | 0.4475          | 0.9424                         | 0.9424                           | 0     |
+| 0.4009     | 0.9385                    | 0.9380                      | 0.3920          | 0.9424                         | 0.9377                           | 1     |
 
 
 ### Framework versions

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