Training in progress epoch 6

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-cased](https://huggingface.co/distilbert-base-cased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 0.7376
-- Train End Logits Accuracy: 0.8083
-- Train Start Logits Accuracy: 0.7780
-- Validation Loss: 2.4099
-- Validation End Logits Accuracy: 0.5146
-- Validation Start Logits Accuracy: 0.4865
-- Epoch: 5
+- Train Loss: 0.5780
+- Train End Logits Accuracy: 0.8456
+- Train Start Logits Accuracy: 0.8186
+- Validation Loss: 2.6543
+- Validation End Logits Accuracy: 0.5231
+- Validation Start Logits Accuracy: 0.4764
+- Epoch: 6
 
 ## Model description
 
@@ -53,6 +53,7 @@ The following hyperparameters were used during training:
 | 1.1407     | 0.7150                    | 0.6757                      | 2.1645          | 0.5172                         | 0.4854                           | 3     |
 | 0.9215     | 0.7670                    | 0.7296                      | 2.2074          | 0.5365                         | 0.4995                           | 4     |
 | 0.7376     | 0.8083                    | 0.7780                      | 2.4099          | 0.5146                         | 0.4865                           | 5     |
+| 0.5780     | 0.8456                    | 0.8186                      | 2.6543          | 0.5231                         | 0.4764                           | 6     |
 
 
 ### Framework versions

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