Training in progress epoch 2

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: 0.5764
-- Validation Loss: 0.4544
-- Train Precision: 0.5714
+- Train Loss: 0.4025
+- Validation Loss: 0.3167
+- Train Precision: 1.0
 - Train Recall: 1.0
-- Train F1: 0.7273
-- Epoch: 1
+- Train F1: 1.0
+- Epoch: 2
 
 ## Model description
 
@@ -48,6 +48,7 @@ The following hyperparameters were used during training:
 |:----------:|:---------------:|:---------------:|:------------:|:--------:|:-----:|
 | 0.7257     | 0.6381          | 0.5556          | 1.0          | 0.7143   | 0     |
 | 0.5764     | 0.4544          | 0.5714          | 1.0          | 0.7273   | 1     |
+| 0.4025     | 0.3167          | 1.0             | 1.0          | 1.0      | 2     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:669ec735c6f7def9e85edc415d43fcdbb61182dba906fbbc846160bef264b4f3
 size 737986856