Training in progress epoch 35

README.md

@@ -15,13 +15,13 @@ 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: 0.1149
-- Train End Logits Accuracy: 0.9548
-- Train Start Logits Accuracy: 0.9653
-- Validation Loss: 1.2125
-- Validation End Logits Accuracy: 0.7806
+- Train Loss: 0.1048
+- Train End Logits Accuracy: 0.9538
+- Train Start Logits Accuracy: 0.9674
+- Validation Loss: 1.2632
+- Validation End Logits Accuracy: 0.7900
 - Validation Start Logits Accuracy: 0.8056
-- Epoch: 34
+- Epoch: 35
 
 ## Model description
 
@@ -82,6 +82,7 @@ The following hyperparameters were used during training:
 | 0.1157     | 0.9485                    | 0.9590                      | 1.2142          | 0.7931                         | 0.8088                           | 32    |
 | 0.1209     | 0.9475                    | 0.9590                      | 1.2215          | 0.7743                         | 0.7994                           | 33    |
 | 0.1149     | 0.9548                    | 0.9653                      | 1.2125          | 0.7806                         | 0.8056                           | 34    |
+| 0.1048     | 0.9538                    | 0.9674                      | 1.2632          | 0.7900                         | 0.8056                           | 35    |
 
 
 ### Framework versions

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