Training in progress epoch 6

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: 0.2080
-- Train End Logits Accuracy: 0.9388
-- Train Start Logits Accuracy: 0.9279
-- Validation Loss: 2.0004
-- Validation End Logits Accuracy: 0.6127
-- Validation Start Logits Accuracy: 0.5999
-- Epoch: 5
+- Train Loss: 0.1521
+- Train End Logits Accuracy: 0.9534
+- Train Start Logits Accuracy: 0.9488
+- Validation Loss: 2.0970
+- Validation End Logits Accuracy: 0.6157
+- Validation Start Logits Accuracy: 0.6067
+- Epoch: 6
 
 ## Model description
 
@@ -53,6 +53,7 @@ The following hyperparameters were used during training:
 | 0.4657     | 0.8583                    | 0.8418                      | 1.4376          | 0.6266                         | 0.6187                           | 3     |
 | 0.3015     | 0.9095                    | 0.8967                      | 1.7133          | 0.6289                         | 0.6233                           | 4     |
 | 0.2080     | 0.9388                    | 0.9279                      | 2.0004          | 0.6127                         | 0.5999                           | 5     |
+| 0.1521     | 0.9534                    | 0.9488                      | 2.0970          | 0.6157                         | 0.6067                           | 6     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:286459a852f6ab8b12802b5f2ec8fdcd458c0f65b24a5fdb05754a268e940493
+oid sha256:7ca384a114668bcb987b7f2fd8b7f176dcb78b971025dfb31bd8ac93961fb274
 size 435842000