Training in progress epoch 10

README.md

@@ -16,11 +16,11 @@ probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [dbmdz/bert-base-turkish-cased](https://huggingface.co/dbmdz/bert-base-turkish-cased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 0.2890
-- Train Accuracy: 0.9263
-- Validation Loss: 0.1814
-- Validation Accuracy: 0.9549
-- Epoch: 9
+- Train Loss: 0.2487
+- Train Accuracy: 0.9384
+- Validation Loss: 0.1629
+- Validation Accuracy: 0.9589
+- Epoch: 10
 
 ## Model description
 
@@ -56,6 +56,7 @@ The following hyperparameters were used during training:
 | 0.4034     | 0.8944         | 0.2653          | 0.9300              | 7     |
 | 0.3421     | 0.9069         | 0.2125          | 0.9436              | 8     |
 | 0.2890     | 0.9263         | 0.1814          | 0.9549              | 9     |
+| 0.2487     | 0.9384         | 0.1629          | 0.9589              | 10    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:f9e0e851e8b63b597143081164206a797c0311db201b650633c79cb0122678c8
+oid sha256:9524682311fa4f60ddf89483e8d9450dce495a33d005f8701e26dcbdf1d953b7
 size 442938876