Training in progress epoch 7

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: 0.1300
-- Train End Logits Accuracy: 0.9522
-- Train Start Logits Accuracy: 0.9563
-- Validation Loss: 0.5295
-- Validation End Logits Accuracy: 0.8938
-- Validation Start Logits Accuracy: 0.8960
-- Epoch: 6
+- Train Loss: 0.1075
+- Train End Logits Accuracy: 0.9630
+- Train Start Logits Accuracy: 0.9637
+- Validation Loss: 0.5521
+- Validation End Logits Accuracy: 0.8889
+- Validation Start Logits Accuracy: 0.8925
+- Epoch: 7
 
 ## Model description
 
@@ -54,6 +54,7 @@ The following hyperparameters were used during training:
 | 0.2145     | 0.9269                    | 0.9287                      | 0.4887          | 0.8732                         | 0.8820                           | 4     |
 | 0.1669     | 0.9436                    | 0.9462                      | 0.4637          | 0.8938                         | 0.8925                           | 5     |
 | 0.1300     | 0.9522                    | 0.9563                      | 0.5295          | 0.8938                         | 0.8960                           | 6     |
+| 0.1075     | 0.9630                    | 0.9637                      | 0.5521          | 0.8889                         | 0.8925                           | 7     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:7100c5078e5b1bf49b593bed6c012bec6199bf45eef6ea00a64582a66630d10a
 size 265583592