Training in progress epoch 5

README.md

@@ -15,11 +15,11 @@ probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [microsoft/mdeberta-v3-base](https://huggingface.co/microsoft/mdeberta-v3-base) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 0.8813
-- Train Accuracy: 0.4204
-- Validation Loss: 1.1030
-- Validation Accuracy: 0.3787
-- Epoch: 4
+- Train Loss: 0.8127
+- Train Accuracy: 0.4340
+- Validation Loss: 1.0993
+- Validation Accuracy: 0.3815
+- Epoch: 5
 
 ## Model description
 
@@ -50,6 +50,7 @@ The following hyperparameters were used during training:
 | 1.1660     | 0.3608         | 1.1347          | 0.3706              | 2     |
 | 0.9903     | 0.3952         | 1.1114          | 0.3790              | 3     |
 | 0.8813     | 0.4204         | 1.1030          | 0.3787              | 4     |
+| 0.8127     | 0.4340         | 1.0993          | 0.3815              | 5     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:b58f7c673d2c1da0259a6e99d6fb4384fd3179bae8917f4d128f74fea5a4bbfa
 size 1113185960