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 [google-bert/bert-base-uncased](https://huggingface.co/google-bert/bert-base-uncased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 0.0850
-- Train End Logits Accuracy: 0.9741
-- Train Start Logits Accuracy: 0.9728
-- Validation Loss: 2.5902
-- Validation End Logits Accuracy: 0.5977
-- Validation Start Logits Accuracy: 0.5977
-- Epoch: 8
+- Train Loss: 0.0652
+- Train End Logits Accuracy: 0.9800
+- Train Start Logits Accuracy: 0.9786
+- Validation Loss: 2.5446
+- Validation End Logits Accuracy: 0.6075
+- Validation Start Logits Accuracy: 0.6041
+- Epoch: 9
 
 ## Model description
 
@@ -56,6 +56,7 @@ The following hyperparameters were used during training:
 | 0.1521     | 0.9534                    | 0.9488                      | 2.0970          | 0.6157                         | 0.6067                           | 6     |
 | 0.1054     | 0.9666                    | 0.9650                      | 2.3507          | 0.6187                         | 0.6120                           | 7     |
 | 0.0850     | 0.9741                    | 0.9728                      | 2.5902          | 0.5977                         | 0.5977                           | 8     |
+| 0.0652     | 0.9800                    | 0.9786                      | 2.5446          | 0.6075                         | 0.6041                           | 9     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:e451a01362a7e0c3f7c3bbc2e2d44128c12b073df4ac9b667b2c0f565f02e42a
 size 435842000