Training in progress epoch 28

README.md

@@ -14,10 +14,10 @@ probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 0.6945
-- Validation Loss: 0.4538
+- Train Loss: 0.6956
+- Validation Loss: 0.4497
 - Train Accuracy: 0.8652
-- Epoch: 25
+- Epoch: 28
 
 ## Model description
 
@@ -69,6 +69,9 @@ The following hyperparameters were used during training:
 | 0.6766     | 0.4523          | 0.8652         | 23    |
 | 0.7007     | 0.4525          | 0.8652         | 24    |
 | 0.6945     | 0.4538          | 0.8652         | 25    |
+| 0.6980     | 0.4521          | 0.8652         | 26    |
+| 0.6769     | 0.4508          | 0.8652         | 27    |
+| 0.6956     | 0.4497          | 0.8652         | 28    |
 
 
 ### Framework versions

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tf_model.h5

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