Training in progress epoch 9

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: 0.1526
-- Train End Logits Accuracy: 0.9528
-- Train Start Logits Accuracy: 0.9388
-- Validation Loss: 1.9620
-- Validation End Logits Accuracy: 0.6867
-- Validation Start Logits Accuracy: 0.6516
-- Epoch: 8
+- Train Loss: 0.1280
+- Train End Logits Accuracy: 0.9610
+- Train Start Logits Accuracy: 0.9485
+- Validation Loss: 2.0278
+- Validation End Logits Accuracy: 0.6900
+- Validation Start Logits Accuracy: 0.6542
+- Epoch: 9
 
 ## Model description
 
@@ -56,6 +56,7 @@ The following hyperparameters were used during training:
 | 0.2478     | 0.9239                    | 0.9009                      | 1.7142          | 0.6880                         | 0.6573                           | 6     |
 | 0.1909     | 0.9398                    | 0.9243                      | 1.8694          | 0.6893                         | 0.6543                           | 7     |
 | 0.1526     | 0.9528                    | 0.9388                      | 1.9620          | 0.6867                         | 0.6516                           | 8     |
+| 0.1280     | 0.9610                    | 0.9485                      | 2.0278          | 0.6900                         | 0.6542                           | 9     |
 
 
 ### Framework versions

logs/train/events.out.tfevents.1715306941.1b2b588cc121.77.0.v2

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tf_model.h5

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