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: 0.7230
-- Validation Loss: 0.6753
+- Train Loss: 0.6559
+- Validation Loss: 0.5935
 - Train Accuracy: 0.5556
-- Epoch: 0
+- Epoch: 1
 
 ## Model description
 
@@ -45,6 +45,7 @@ The following hyperparameters were used during training:
 | Train Loss | Validation Loss | Train Accuracy | Epoch |
 |:----------:|:---------------:|:--------------:|:-----:|
 | 0.7230     | 0.6753          | 0.5556         | 0     |
+| 0.6559     | 0.5935          | 0.5556         | 1     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:d0ee6972d1e8ded9ebc0143fb0c25faa4752f1cffacc1e06181c63be6fecff5c
 size 737986856