Training in progress epoch 38

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: 0.2655
-- Train End Logits Accuracy: 0.8804
-- Train Start Logits Accuracy: 0.9213
-- Validation Loss: 1.0478
-- Validation End Logits Accuracy: 0.7994
+- Train Loss: 0.2434
+- Train End Logits Accuracy: 0.9084
+- Train Start Logits Accuracy: 0.9181
+- Validation Loss: 1.0491
+- Validation End Logits Accuracy: 0.8025
 - Validation Start Logits Accuracy: 0.7994
-- Epoch: 37
+- Epoch: 38
 
 ## Model description
 
@@ -85,6 +85,7 @@ The following hyperparameters were used during training:
 | 0.2611     | 0.9009                    | 0.9203                      | 1.0458          | 0.8025                         | 0.7962                           | 35    |
 | 0.2502     | 0.9030                    | 0.9203                      | 1.0621          | 0.8025                         | 0.8025                           | 36    |
 | 0.2655     | 0.8804                    | 0.9213                      | 1.0478          | 0.7994                         | 0.7994                           | 37    |
+| 0.2434     | 0.9084                    | 0.9181                      | 1.0491          | 0.8025                         | 0.7994                           | 38    |
 
 
 ### Framework versions

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