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: 0.1675
-- Validation Loss: 0.1067
-- Train Accuracy: 0.9554
-- Epoch: 1
+- Train Loss: 0.0867
+- Validation Loss: 0.0799
+- Train Accuracy: 0.9649
+- Epoch: 2
 
 ## Model description
 
@@ -46,6 +46,7 @@ The following hyperparameters were used during training:
 |:----------:|:---------------:|:--------------:|:-----:|
 | 1.4786     | 0.1935          | 0.9387         | 0     |
 | 0.1675     | 0.1067          | 0.9554         | 1     |
+| 0.0867     | 0.0799          | 0.9649         | 2     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:aa0066c6b6450edcd7186e8cf9143cebbf770ee308f88ac776b68230ccf6c0cb
 size 557190152