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: 0.7304
-- Train Accuracy: 0.4708
-- Validation Loss: 0.7662
-- Validation Accuracy: 0.4485
-- Epoch: 4
+- Train Loss: 0.6887
+- Train Accuracy: 0.4877
+- Validation Loss: 0.7630
+- Validation Accuracy: 0.4497
+- Epoch: 5
 
 ## Model description
 
@@ -50,6 +50,7 @@ The following hyperparameters were used during training:
 | 0.8657     | 0.4491         | 0.8170          | 0.4334              | 2     |
 | 0.7807     | 0.4664         | 0.7785          | 0.4459              | 3     |
 | 0.7304     | 0.4708         | 0.7662          | 0.4485              | 4     |
+| 0.6887     | 0.4877         | 0.7630          | 0.4497              | 5     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:9cffe86be4c4b739cd97bf73f198d753870ae6e9d0c8220511142096a0800fdb
+oid sha256:9cee87941c3cd449d34f102229819f32d745486c1ae770a7c30dcdb947508500
 size 1113185960