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-base](https://huggingface.co/microsoft/deberta-base) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 2.0764
-- Validation Loss: 0.2430
-- Train Accuracy: 0.9405
-- Epoch: 0
+- Train Loss: 0.2390
+- Validation Loss: 0.0997
+- Train Accuracy: 0.9577
+- Epoch: 1
 
 ## Model description
 
@@ -45,6 +45,7 @@ The following hyperparameters were used during training:
 | Train Loss | Validation Loss | Train Accuracy | Epoch |
 |:----------:|:---------------:|:--------------:|:-----:|
 | 2.0764     | 0.2430          | 0.9405         | 0     |
+| 0.2390     | 0.0997          | 0.9577         | 1     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:c2777d347aaf6d01f9ed259097ddb55801ce73e99d5cc9862da12949f324b307
 size 557190152