Training in progress epoch 33

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: 0.1157
-- Train End Logits Accuracy: 0.9485
+- Train Loss: 0.1209
+- Train End Logits Accuracy: 0.9475
 - Train Start Logits Accuracy: 0.9590
-- Validation Loss: 1.2142
-- Validation End Logits Accuracy: 0.7931
-- Validation Start Logits Accuracy: 0.8088
-- Epoch: 32
+- Validation Loss: 1.2215
+- Validation End Logits Accuracy: 0.7743
+- Validation Start Logits Accuracy: 0.7994
+- Epoch: 33
 
 ## Model description
 
@@ -80,6 +80,7 @@ The following hyperparameters were used during training:
 | 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    |
+| 0.1209     | 0.9475                    | 0.9590                      | 1.2215          | 0.7743                         | 0.7994                           | 33    |
 
 
 ### Framework versions

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