Training in progress epoch 50

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: 0.2087
-- Train End Logits Accuracy: 0.9106
-- Train Start Logits Accuracy: 0.9375
+- Train Loss: 0.2131
+- Train End Logits Accuracy: 0.9224
+- Train Start Logits Accuracy: 0.9310
 - Validation Loss: 1.0588
 - Validation End Logits Accuracy: 0.8088
 - Validation Start Logits Accuracy: 0.8150
-- Epoch: 49
+- Epoch: 50
 
 ## Model description
 
@@ -97,6 +97,7 @@ The following hyperparameters were used during training:
 | 0.2166     | 0.9116                    | 0.9203                      | 1.0554          | 0.8088                         | 0.8088                           | 47    |
 | 0.2184     | 0.9138                    | 0.9397                      | 1.0568          | 0.8119                         | 0.8088                           | 48    |
 | 0.2087     | 0.9106                    | 0.9375                      | 1.0588          | 0.8088                         | 0.8150                           | 49    |
+| 0.2131     | 0.9224                    | 0.9310                      | 1.0588          | 0.8088                         | 0.8150                           | 50    |
 
 
 ### Framework versions

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tf_model.h5

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