Training in progress epoch 1

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: 0.6908
-- Validation Loss: 0.6074
-- Train Accuracy: 0.5833
-- Epoch: 0
+- Train Loss: 0.5563
+- Validation Loss: 0.4171
+- Train Accuracy: 0.9722
+- Epoch: 1
 
 ## Model description
 
@@ -45,6 +45,7 @@ The following hyperparameters were used during training:
 | Train Loss | Validation Loss | Train Accuracy | Epoch |
 |:----------:|:---------------:|:--------------:|:-----:|
 | 0.6908     | 0.6074          | 0.5833         | 0     |
+| 0.5563     | 0.4171          | 0.9722         | 1     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:fb500354bbd878943a444142f1388549a13a5c41ef522388635257490ad09632
 size 737986856