Training in progress epoch 6

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: 0.1566
-- Validation Loss: 0.5050
-- Train Precision: 0.7220
-- Train Recall: 0.6838
-- Train F1: 0.6953
-- Train Accuracy: 0.8703
-- Epoch: 5
+- Train Loss: 0.1189
+- Validation Loss: 0.5284
+- Train Precision: 0.7088
+- Train Recall: 0.6911
+- Train F1: 0.6920
+- Train Accuracy: 0.8712
+- Epoch: 6
 
 ## Model description
 
@@ -52,6 +52,7 @@ The following hyperparameters were used during training:
 | 0.2612     | 0.4890          | 0.7183          | 0.6777       | 0.6902   | 0.8654         | 3     |
 | 0.1901     | 0.4922          | 0.7137          | 0.6880       | 0.6937   | 0.8639         | 4     |
 | 0.1566     | 0.5050          | 0.7220          | 0.6838       | 0.6953   | 0.8703         | 5     |
+| 0.1189     | 0.5284          | 0.7088          | 0.6911       | 0.6920   | 0.8712         | 6     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
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