Training in progress epoch 4

README.md

@@ -16,10 +16,10 @@ 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: nan
-- Train Accuracy: 0.0742
+- Train Accuracy: 0.0743
 - Validation Loss: nan
 - Validation Accuracy: 0.0721
-- Epoch: 3
+- Epoch: 4
 
 ## Model description
 
@@ -49,6 +49,7 @@ The following hyperparameters were used during training:
 | nan        | 0.0752         | nan             | 0.0721              | 1     |
 | nan        | 0.0740         | nan             | 0.0721              | 2     |
 | nan        | 0.0742         | nan             | 0.0721              | 3     |
+| nan        | 0.0743         | nan             | 0.0721              | 4     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:e8f4d6055724d5b471efc665df21abf6ea2902fda99f3e08a6cc8fe4e5a031cd
 size 1113185960