Training in progress epoch 0

README.md

@@ -15,8 +15,8 @@ probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [microsoft/deberta-v3-base](https://huggingface.co/microsoft/deberta-v3-base) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 0.2630
-- Validation Loss: 0.2305
+- Train Loss: 0.1819
+- Validation Loss: 0.1267
 - Train Accuracy: {'accuracy': 1.0}
 - Train Precision: 1.0
 - Train Recall: 1.0
@@ -47,7 +47,7 @@ The following hyperparameters were used during training:
 
 | Train Loss | Validation Loss | Train Accuracy    | Train Precision | Train Recall | Train F1 | Epoch |
 |:----------:|:---------------:|:-----------------:|:---------------:|:------------:|:--------:|:-----:|
-| 0.2630     | 0.2305          | {'accuracy': 1.0} | 1.0             | 1.0          | 1.0      | 0     |
+| 0.1819     | 0.1267          | {'accuracy': 1.0} | 1.0             | 1.0          | 1.0      | 0     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:dbd7ca1437d0ca59b285690781b9ced15a9fe69738e7f7707b76fe44273b5d89
+oid sha256:884dc4c134a1344087194d047e4cad0f5eb51d2a2f069c4ae073a5bcfb9c290e
 size 737986856