Training in progress epoch 20

README.md

@@ -14,11 +14,11 @@ probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilbert/distilbert-base-uncased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 0.0435
-- Validation Loss: 3.1507
-- Train F1: 0.4280
-- Train Accuracy: 0.5322
-- Epoch: 15
+- Train Loss: 0.0230
+- Validation Loss: 3.4253
+- Train F1: 0.4311
+- Train Accuracy: 0.5250
+- Epoch: 20
 
 ## Model description
 
@@ -60,6 +60,11 @@ The following hyperparameters were used during training:
 | 0.0562     | 3.1115          | 0.4282   | 0.5222         | 13    |
 | 0.0493     | 3.1710          | 0.4306   | 0.5268         | 14    |
 | 0.0435     | 3.1507          | 0.4280   | 0.5322         | 15    |
+| 0.0391     | 3.3222          | 0.4165   | 0.5110         | 16    |
+| 0.0321     | 3.3243          | 0.4218   | 0.5309         | 17    |
+| 0.0298     | 3.3675          | 0.4252   | 0.5307         | 18    |
+| 0.0255     | 3.4341          | 0.4148   | 0.5217         | 19    |
+| 0.0230     | 3.4253          | 0.4311   | 0.5250         | 20    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:719a559e7336e59972958304531aedf66071b18d83c17ab87beb6afc1268b4c3
+oid sha256:819442c8872f01846babdeed96162e0cd60179bfe096cdb248a8d44a89fe2241
 size 268031680