Training in progress epoch 6

README.md

@@ -14,10 +14,10 @@ probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 0.0910
-- Validation Loss: 0.5395
-- Train Accuracy: 0.8643
-- Epoch: 5
+- Train Loss: 0.0641
+- Validation Loss: 0.5816
+- Train Accuracy: 0.8628
+- Epoch: 6
 
 ## Model description
 
@@ -49,6 +49,7 @@ The following hyperparameters were used during training:
 | 0.1754     | 0.4243          | 0.8649         | 3     |
 | 0.1262     | 0.5004          | 0.8623         | 4     |
 | 0.0910     | 0.5395          | 0.8643         | 5     |
+| 0.0641     | 0.5816          | 0.8628         | 6     |
 
 
 ### Framework versions

logs/train/events.out.tfevents.1705504053.104-171-203-254.2248305.0.v2

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:c4a66868230c9dc6fdfaafc94f366ad3f67f9e68593bcc49d059e824e8361b3e
-size 2838700
+oid sha256:27fbe2f93682cba7a4ccdd4117c4f3f81a730867a99c469423872843b2cc0a81
+size 2838917

logs/validation/events.out.tfevents.1705506291.104-171-203-254.2248305.1.v2

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:6d1f8b61a057641bdce22d1778a65b2875ad453f89710b609c1d2d573fda770c
-size 980
+oid sha256:7c5b8825919888a0c6ae25f41f70f78d7fb8f4dcbed27382037915d3ad8199dc
+size 1137

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:18c68a6a75e3907e5b3af81cfef73c3594b6745719d230d302bdb225f6a6b733
+oid sha256:f025e00fc8e5fddfd7ed6597e14a7262cde161bcfc6315a07e1e990be69b0fbc
 size 498865280