Training in progress epoch 1

README.md

@@ -15,12 +15,12 @@ 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: 0.7257
-- Validation Loss: 0.6381
-- Train Precision: 0.5556
+- Train Loss: 0.5764
+- Validation Loss: 0.4544
+- Train Precision: 0.5714
 - Train Recall: 1.0
-- Train F1: 0.7143
-- Epoch: 0
+- Train F1: 0.7273
+- Epoch: 1
 
 ## Model description
 
@@ -47,6 +47,7 @@ The following hyperparameters were used during training:
 | Train Loss | Validation Loss | Train Precision | Train Recall | Train F1 | Epoch |
 |:----------:|:---------------:|:---------------:|:------------:|:--------:|:-----:|
 | 0.7257     | 0.6381          | 0.5556          | 1.0          | 0.7143   | 0     |
+| 0.5764     | 0.4544          | 0.5714          | 1.0          | 0.7273   | 1     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:fd4496942cbebdc202dadc686ddfc079c4f9ddb0d51b98453920589e0d2b5f12
 size 737986856