Training in progress epoch 32

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: 0.1335
-- Train End Logits Accuracy: 0.9422
-- Train Start Logits Accuracy: 0.9569
-- Validation Loss: 1.2030
-- Validation End Logits Accuracy: 0.7962
+- Train Loss: 0.1157
+- Train End Logits Accuracy: 0.9485
+- Train Start Logits Accuracy: 0.9590
+- Validation Loss: 1.2142
+- Validation End Logits Accuracy: 0.7931
 - Validation Start Logits Accuracy: 0.8088
-- Epoch: 31
+- Epoch: 32
 
 ## Model description
 
@@ -79,6 +79,7 @@ The following hyperparameters were used during training:
 | 0.1373     | 0.9349                    | 0.9601                      | 1.2201          | 0.7806                         | 0.8056                           | 29    |
 | 0.1334     | 0.9443                    | 0.9569                      | 1.2531          | 0.7868                         | 0.8025                           | 30    |
 | 0.1335     | 0.9422                    | 0.9569                      | 1.2030          | 0.7962                         | 0.8088                           | 31    |
+| 0.1157     | 0.9485                    | 0.9590                      | 1.2142          | 0.7931                         | 0.8088                           | 32    |
 
 
 ### Framework versions

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