Training in progress epoch 25

README.md

@@ -15,10 +15,10 @@ probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [bert-large-uncased](https://huggingface.co/bert-large-uncased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 5.0326
-- Validation Loss: 5.0256
-- Train Accuracy: 0.0067
-- Epoch: 9
+- Train Loss: 4.4459
+- Validation Loss: 4.3669
+- Train Accuracy: 0.0233
+- Epoch: 25
 
 ## Model description
 
@@ -54,6 +54,22 @@ The following hyperparameters were used during training:
 | 5.0400     | 5.0121          | 0.01           | 7     |
 | 5.0372     | 5.0030          | 0.0167         | 8     |
 | 5.0326     | 5.0256          | 0.0067         | 9     |
+| 5.0382     | 4.9992          | 0.01           | 10    |
+| 5.0144     | 4.9976          | 0.01           | 11    |
+| 5.0152     | 4.9783          | 0.0167         | 12    |
+| 4.9700     | 4.9433          | 0.0067         | 13    |
+| 4.9206     | 4.9482          | 0.0067         | 14    |
+| 4.9153     | 4.8727          | 0.0067         | 15    |
+| 4.9287     | 4.7980          | 0.0167         | 16    |
+| 4.8014     | 4.7452          | 0.0167         | 17    |
+| 4.7477     | 4.6429          | 0.01           | 18    |
+| 4.6939     | 4.6035          | 0.02           | 19    |
+| 4.6607     | 4.5406          | 0.02           | 20    |
+| 4.6075     | 4.5490          | 0.0167         | 21    |
+| 4.5748     | 4.5086          | 0.0333         | 22    |
+| 4.5383     | 4.3940          | 0.0333         | 23    |
+| 4.4965     | 4.3748          | 0.0233         | 24    |
+| 4.4459     | 4.3669          | 0.0233         | 25    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:b7d0ec8b7531acc8ad5f2d4496297dd483e157271ce16011bbd8eafe502b553b
+oid sha256:6ddfe87d855b992d771952a4674b1085a7cb94708902198dc387bbedb531cb40
 size 1341734528