Training in progress epoch 4

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: 0.0258
-- Validation Loss: 0.6466
-- Train F1: 0.8887
-- Epoch: 3
+- Train Loss: 0.0121
+- Validation Loss: 0.6304
+- Train F1: 0.8811
+- Epoch: 4
 
 ## Model description
 
@@ -47,6 +47,7 @@ The following hyperparameters were used during training:
 | 0.0893     | 0.5320          | 0.8649   | 1     |
 | 0.0331     | 0.5226          | 0.8966   | 2     |
 | 0.0258     | 0.6466          | 0.8887   | 3     |
+| 0.0121     | 0.6304          | 0.8811   | 4     |
 
 
 ### Framework versions

logs/train/events.out.tfevents.1686257804.bf249ee763c5.1479.10.v2

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:4c508da572f0cf25c9f70f17d4504d443fe9432c73fca45c8d612e19d1e6113e
-size 10098848
+oid sha256:c0be6d5dd0ab908ae4c7555369bcced1dd56c05133ac37945351fde885b94ef0
+size 10099059

logs/validation/events.out.tfevents.1686257913.bf249ee763c5.1479.11.v2

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:78f9dfea216f1237a7d303b47d1112313f3428519cdf0e8056d20c085befcc1e
-size 700
+oid sha256:2140f65716da37dc43df829bf3566a420a41e771ca92cf3c1e564bdb1f8529bb
+size 856

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:a5f82929e3a690fcf30cc6179a5241929495aeeb63c6ec228ca5e1d442b29387
+oid sha256:f752b612f995d4ed2d8ebffdb764bd4697366bf20d37fb2805fd3ba7e7a878a3
 size 557073416