Training in progress epoch 4

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: 0.7395
-- Train Accuracy: 0.5818
-- Validation Loss: 0.7777
-- Validation Accuracy: 0.5682
-- Epoch: 3
+- Train Loss: 0.7011
+- Train Accuracy: 0.5931
+- Validation Loss: 0.7836
+- Validation Accuracy: 0.5708
+- Epoch: 4
 
 ## Model description
 
@@ -49,6 +49,7 @@ The following hyperparameters were used during training:
 | 0.8841     | 0.5450         | 0.8210          | 0.5555              | 1     |
 | 0.7972     | 0.5688         | 0.7997          | 0.5624              | 2     |
 | 0.7395     | 0.5818         | 0.7777          | 0.5682              | 3     |
+| 0.7011     | 0.5931         | 0.7836          | 0.5708              | 4     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:f9c6e497e740169f6a014d39b5c47faf35751d78c64958c98ae8e12c7841fb73
+oid sha256:9d815c7172ce3325e0bf35dfec7cdfa34ba7927442d1ca9ab9c2dfa4e8c72fd2
 size 1113185960