Training in progress epoch 4

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: 0.0427
-- Validation Loss: 0.2671
-- Train Accuracy: 0.9318
-- Epoch: 3
+- Train Loss: 0.0260
+- Validation Loss: 0.2814
+- Train Accuracy: 0.933
+- Epoch: 4
 
 ## Model description
 
@@ -48,6 +48,7 @@ The following hyperparameters were used during training:
 | 0.1379     | 0.1821          | 0.931          | 1     |
 | 0.0748     | 0.1896          | 0.9334         | 2     |
 | 0.0427     | 0.2671          | 0.9318         | 3     |
+| 0.0260     | 0.2814          | 0.933          | 4     |
 
 
 ### Framework versions

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tf_model.h5

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