Training in progress epoch 4

README.md

@@ -16,9 +16,9 @@ probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [deepset/gbert-base](https://huggingface.co/deepset/gbert-base) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 0.0205
-- Validation Loss: 0.0914
-- Epoch: 3
+- Train Loss: 0.0139
+- Validation Loss: 0.0979
+- Epoch: 4
 
 ## Model description
 
@@ -48,6 +48,7 @@ The following hyperparameters were used during training:
 | 0.0553     | 0.0798          | 1     |
 | 0.0327     | 0.0907          | 2     |
 | 0.0205     | 0.0914          | 3     |
+| 0.0139     | 0.0979          | 4     |
 
 
 ### Framework versions

logs/train/events.out.tfevents.1730270274.4ba219c36b28.571.0.v2

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:a159a201a287563340b4eb36a0c61a3b04328b34eca0da3513f202befd96438b
-size 3149288
+oid sha256:d1aad48d6a45bf8281d0dabe898e2c80eb2d0e7fd6b5b9f561cbfcff9d5ce1e0
+size 3149433

logs/validation/events.out.tfevents.1730270575.4ba219c36b28.571.1.v2

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:37312d71ef4202a9324f0931c5a93db4af5b36b48439befc0ed39d11023a5b8d
-size 700
+oid sha256:8daabda1b589c7e6c6a95d1aea4d63c688c5ed50cda381d6eb4bb2890461c04a
+size 856

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:23bd8fbd0740098e6eac73a3fe1af60d3a861d24a0eb285d9cae0d999a24e7cc
+oid sha256:801dd10ecd3d92a4401c53f565b195c69944d0e1ab06b12f207fb131470e584b
 size 437649388