Training in progress epoch 8

README.md

@@ -14,13 +14,13 @@ 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: 0.2055
-- Train End Logits Accuracy: 0.9358
-- Train Start Logits Accuracy: 0.9374
-- Validation Loss: 1.7831
-- Validation End Logits Accuracy: 0.6490
-- Validation Start Logits Accuracy: 0.6480
-- Epoch: 7
+- Train Loss: 0.1719
+- Train End Logits Accuracy: 0.9436
+- Train Start Logits Accuracy: 0.9442
+- Validation Loss: 1.8572
+- Validation End Logits Accuracy: 0.6534
+- Validation Start Logits Accuracy: 0.6445
+- Epoch: 8
 
 ## Model description
 
@@ -54,6 +54,7 @@ The following hyperparameters were used during training:
 | 0.3308     | 0.8907                    | 0.9014                      | 1.6029          | 0.6514                         | 0.6386                           | 5     |
 | 0.2596     | 0.9144                    | 0.9223                      | 1.6924          | 0.6524                         | 0.6426                           | 6     |
 | 0.2055     | 0.9358                    | 0.9374                      | 1.7831          | 0.6490                         | 0.6480                           | 7     |
+| 0.1719     | 0.9436                    | 0.9442                      | 1.8572          | 0.6534                         | 0.6445                           | 8     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:a591b20337e92d576c4ea865e0cd68dd0f91b3eb06fa9b33b5eb3605df662cb0
+oid sha256:a9e3a8b85b97f6bf1def296ebdbfe22edf2c75912bd5aedaae3439e198ffb166
 size 265583592