Training in progress epoch 2

README.md

@@ -15,10 +15,10 @@ probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [microsoft/deberta-base](https://huggingface.co/microsoft/deberta-base) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 0.2390
-- Validation Loss: 0.0997
-- Train Accuracy: 0.9577
-- Epoch: 1
+- Train Loss: 0.1038
+- Validation Loss: 0.0620
+- Train Accuracy: 0.9696
+- Epoch: 2
 
 ## Model description
 
@@ -46,6 +46,7 @@ The following hyperparameters were used during training:
 |:----------:|:---------------:|:--------------:|:-----:|
 | 2.0764     | 0.2430          | 0.9405         | 0     |
 | 0.2390     | 0.0997          | 0.9577         | 1     |
+| 0.1038     | 0.0620          | 0.9696         | 2     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:b5532e059e25a16d1669f2ac8944f8b9ea4750860e0c34f0dc02900b9126090e
 size 557190152