Training in progress epoch 10

README.md

@@ -14,10 +14,10 @@ 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: 0.0689
-- Validation Loss: 0.1947
+- Train Loss: 0.0229
+- Validation Loss: 0.1717
 - Train Accuracy: 0.925
-- Epoch: 6
+- Epoch: 10
 
 ## Model description
 
@@ -50,6 +50,10 @@ The following hyperparameters were used during training:
 | 0.1212     | 0.1646          | 0.9            | 4     |
 | 0.0897     | 0.1807          | 0.925          | 5     |
 | 0.0689     | 0.1947          | 0.925          | 6     |
+| 0.0544     | 0.1885          | 0.925          | 7     |
+| 0.0476     | 0.1888          | 0.925          | 8     |
+| 0.0325     | 0.2012          | 0.925          | 9     |
+| 0.0229     | 0.1717          | 0.925          | 10    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:4227ae40cd03fd1112e2808ed2706827490e2809226892cf4e859167f7117b0f
 size 267951808