Training in progress epoch 6

README.md

@@ -16,11 +16,11 @@ probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [bert-large-cased](https://huggingface.co/bert-large-cased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 0.1661
-- Train Accuracy: 0.9405
-- Validation Loss: 0.0592
+- Train Loss: 0.1646
+- Train Accuracy: 0.9395
+- Validation Loss: 0.0590
 - Validation Accuracy: 0.9877
-- Epoch: 5
+- Epoch: 6
 
 ## Model description
 
@@ -52,6 +52,7 @@ The following hyperparameters were used during training:
 | 0.2412     | 0.9114         | 0.0674          | 0.9877              | 3     |
 | 0.1738     | 0.9385         | 0.0592          | 0.9877              | 4     |
 | 0.1661     | 0.9405         | 0.0592          | 0.9877              | 5     |
+| 0.1646     | 0.9395         | 0.0590          | 0.9877              | 6     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:dc0a7a2a16077d09972f5086a4565af15524216abd5d0e9f734dcd10ec9ae1e3
+oid sha256:64e0f2658da48381fd88d345a15628009b36bbcab184e482217bb016b414fa68
 size 1334873132