Training in progress epoch 32

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: 0.2727
-- Train End Logits Accuracy: 0.8933
-- Train Start Logits Accuracy: 0.9213
-- Validation Loss: 1.0483
-- Validation End Logits Accuracy: 0.7806
-- Validation Start Logits Accuracy: 0.7931
-- Epoch: 31
+- Train Loss: 0.2728
+- Train End Logits Accuracy: 0.8976
+- Train Start Logits Accuracy: 0.9062
+- Validation Loss: 1.0459
+- Validation End Logits Accuracy: 0.7868
+- Validation Start Logits Accuracy: 0.8088
+- Epoch: 32
 
 ## Model description
 
@@ -79,6 +79,7 @@ The following hyperparameters were used during training:
 | 0.2896     | 0.8879                    | 0.9009                      | 1.0324          | 0.7649                         | 0.8182                           | 29    |
 | 0.2710     | 0.8998                    | 0.9106                      | 1.0458          | 0.7868                         | 0.8088                           | 30    |
 | 0.2727     | 0.8933                    | 0.9213                      | 1.0483          | 0.7806                         | 0.7931                           | 31    |
+| 0.2728     | 0.8976                    | 0.9062                      | 1.0459          | 0.7868                         | 0.8088                           | 32    |
 
 
 ### Framework versions

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tf_model.h5

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