Training in progress epoch 3

README.md

@@ -15,10 +15,10 @@ 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: 0.0104
-- Validation Loss: 0.6544
-- Train Accuracy: 0.913
-- Epoch: 2
+- Train Loss: 0.0148
+- Validation Loss: 0.7763
+- Train Accuracy: 0.9035
+- Epoch: 3
 
 ## Model description
 
@@ -47,6 +47,7 @@ The following hyperparameters were used during training:
 | 0.0133     | 0.6573          | 0.901          | 0     |
 | 0.0135     | 0.7314          | 0.9065         | 1     |
 | 0.0104     | 0.6544          | 0.913          | 2     |
+| 0.0148     | 0.7763          | 0.9035         | 3     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:98a862f81f3dbba766c1f7196260808ea22a83def28705d1ce09c8d6721e3149
 size 267964096