Training in progress epoch 1

README.md

@@ -15,10 +15,10 @@ probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 0.1618
-- Validation Loss: 0.1394
-- Train Accuracy: 0.9590
-- Epoch: 0
+- Train Loss: 0.1442
+- Validation Loss: 0.1369
+- Train Accuracy: 0.9572
+- Epoch: 1
 
 ## Model description
 
@@ -45,6 +45,7 @@ The following hyperparameters were used during training:
 | Train Loss | Validation Loss | Train Accuracy | Epoch |
 |:----------:|:---------------:|:--------------:|:-----:|
 | 0.1618     | 0.1394          | 0.9590         | 0     |
+| 0.1442     | 0.1369          | 0.9572         | 1     |
 
 
 ### Framework versions

logs/train/events.out.tfevents.1715454674.52ae991cbf55.180.0.v2

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:bf7a1aa57c94f6b773f1852cd662297ed78d196ab730967a6eef976a62f3a79d
-size 3530048
+oid sha256:841f83efbcaf88c36f910f1a2091a64595b652451a71af8e48411c10f82eb0e3
+size 3530188

logs/validation/events.out.tfevents.1715455283.52ae991cbf55.180.1.v2

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:ff5a019d1232409e3d1a1b2b11c7a8b61bee555eaf9950fdcec3f3d342075543
-size 232
+oid sha256:04bb1c40d07d9203a54130a794a192fa412ae3fee622fabdb0195cc72c4202bc
+size 388