Training in progress epoch 1

README.md

@@ -14,10 +14,10 @@ probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [microsoft/deberta-base](https://huggingface.co/microsoft/deberta-base) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 0.5343
-- Validation Loss: 0.6051
-- Train F1: 0.8389
-- Epoch: 0
+- Train Loss: 0.1790
+- Validation Loss: 0.7237
+- Train F1: 0.8194
+- Epoch: 1
 
 ## Model description
 
@@ -44,6 +44,7 @@ The following hyperparameters were used during training:
 | Train Loss | Validation Loss | Train F1 | Epoch |
 |:----------:|:---------------:|:--------:|:-----:|
 | 0.5343     | 0.6051          | 0.8389   | 0     |
+| 0.1790     | 0.7237          | 0.8194   | 1     |
 
 
 ### Framework versions

logs/train/events.out.tfevents.1686258472.bf249ee763c5.1479.13.v2

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:29fee19ac7c0659706f6d2c0b71d2c741492706682f01985e428de7c4a42104f
-size 10099564
+oid sha256:c2d91d1d3702f6fb4d2ed58fd715db4ebfb7e31b0c06911d9917ed776d8dbcc7
+size 10099775

logs/validation/events.out.tfevents.1686258580.bf249ee763c5.1479.14.v2

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:bf332cb7f011c74fdb15cb9b4d082e7aeff07d61972932be948caf9dad51acb7
-size 232
+oid sha256:5bc8f459d524745b6bf0080ec00baf84ee47f0cb64ec6db04a8b9e48168a8555
+size 388

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:4d3879f1893ed38199c0e48cf1cec4a6300e51160d5ce651a11656ecf0a2c75f
+oid sha256:a0641a5aa76cdd280f9a06bfb16d4b2f640ad77f3a4d51e409b70d2ea6bbd2eb
 size 557073416