Training in progress epoch 4

README.md

@@ -15,11 +15,11 @@ probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [xlnet-base-cased](https://huggingface.co/xlnet-base-cased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 0.1238
-- Train Accuracy: 0.9572
-- Validation Loss: 0.1748
-- Validation Accuracy: 0.9475
-- Epoch: 3
+- Train Loss: 0.1085
+- Train Accuracy: 0.9617
+- Validation Loss: 0.1910
+- Validation Accuracy: 0.9414
+- Epoch: 4
 
 ## Model description
 
@@ -49,6 +49,7 @@ The following hyperparameters were used during training:
 | 0.1943     | 0.9235         | 0.1504          | 0.9466              | 1     |
 | 0.1569     | 0.9404         | 0.1612          | 0.9466              | 2     |
 | 0.1238     | 0.9572         | 0.1748          | 0.9475              | 3     |
+| 0.1085     | 0.9617         | 0.1910          | 0.9414              | 4     |
 
 
 ### Framework versions

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tf_model.h5

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