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 [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 0.1669
-- Train End Logits Accuracy: 0.9436
-- Train Start Logits Accuracy: 0.9462
-- Validation Loss: 0.4637
+- Train Loss: 0.1300
+- Train End Logits Accuracy: 0.9522
+- Train Start Logits Accuracy: 0.9563
+- Validation Loss: 0.5295
 - Validation End Logits Accuracy: 0.8938
-- Validation Start Logits Accuracy: 0.8925
-- Epoch: 5
+- Validation Start Logits Accuracy: 0.8960
+- Epoch: 6
 
 ## Model description
 
@@ -53,6 +53,7 @@ The following hyperparameters were used during training:
 | 0.2854     | 0.9039                    | 0.9096                      | 0.4773          | 0.8813                         | 0.8810                           | 3     |
 | 0.2145     | 0.9269                    | 0.9287                      | 0.4887          | 0.8732                         | 0.8820                           | 4     |
 | 0.1669     | 0.9436                    | 0.9462                      | 0.4637          | 0.8938                         | 0.8925                           | 5     |
+| 0.1300     | 0.9522                    | 0.9563                      | 0.5295          | 0.8938                         | 0.8960                           | 6     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:cd0dc0d8113a15e4ba8354944b939e4fea1b67f366a4b4ee8f3adead0ea68cd1
+oid sha256:27c67394b9820693b33b4448f46949f452b51323af6ae9a9058ce88196ee3480
 size 265583592