Training in progress epoch 9

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: 0.0863
-- Validation Loss: 0.5369
-- Train Precision: 0.7209
-- Train Recall: 0.6880
-- Train F1: 0.6970
-- Train Accuracy: 0.8654
-- Epoch: 8
+- Train Loss: 0.0757
+- Validation Loss: 0.5393
+- Train Precision: 0.7176
+- Train Recall: 0.6904
+- Train F1: 0.6968
+- Train Accuracy: 0.8688
+- Epoch: 9
 
 ## Model description
 
@@ -55,6 +55,7 @@ The following hyperparameters were used during training:
 | 0.1189     | 0.5284          | 0.7088          | 0.6911       | 0.6920   | 0.8712         | 6     |
 | 0.1059     | 0.5285          | 0.7113          | 0.6835       | 0.6900   | 0.8635         | 7     |
 | 0.0863     | 0.5369          | 0.7209          | 0.6880       | 0.6970   | 0.8654         | 8     |
+| 0.0757     | 0.5393          | 0.7176          | 0.6904       | 0.6968   | 0.8688         | 9     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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 size 268010440