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-v3-base](https://huggingface.co/microsoft/deberta-v3-base) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 0.5563
-- Validation Loss: 0.4171
-- Train Accuracy: 0.9722
-- Epoch: 1
+- Train Loss: 0.3757
+- Validation Loss: 0.2846
+- Train Accuracy: 1.0
+- Epoch: 2
 
 ## Model description
 
@@ -46,6 +46,7 @@ The following hyperparameters were used during training:
 |:----------:|:---------------:|:--------------:|:-----:|
 | 0.6908     | 0.6074          | 0.5833         | 0     |
 | 0.5563     | 0.4171          | 0.9722         | 1     |
+| 0.3757     | 0.2846          | 1.0            | 2     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:36d5226391f193cfdc39cedd48ad4bd0db50168bf9a59c4570f302b0a52667b9
 size 737986856