Training in progress epoch 3

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: 0.0740
+- Train Accuracy: 0.0742
 - Validation Loss: nan
 - Validation Accuracy: 0.0721
-- Epoch: 2
+- Epoch: 3
 
 ## Model description
 
@@ -48,6 +48,7 @@ The following hyperparameters were used during training:
 | nan        | 0.0747         | nan             | 0.0721              | 0     |
 | nan        | 0.0752         | nan             | 0.0721              | 1     |
 | nan        | 0.0740         | nan             | 0.0721              | 2     |
+| nan        | 0.0742         | nan             | 0.0721              | 3     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:a18a87a200051553a855f727e54f2b9fd343d1770f639168801a18c981b9032c
+oid sha256:23312ba7be833e6ffec252d19d1eaa08b332c53ed169ccb6004c6984934fb8be
 size 1113185960