Training in progress epoch 29

README.md

@@ -14,11 +14,11 @@ 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: 2.3780
-- Train Accuracy: 0.0844
-- Validation Loss: 2.0498
-- Validation Accuracy: 0.0922
-- Epoch: 28
+- Train Loss: 2.0789
+- Train Accuracy: 0.0907
+- Validation Loss: 1.8604
+- Validation Accuracy: 0.0958
+- Epoch: 29
 
 ## Model description
 
@@ -73,6 +73,7 @@ The following hyperparameters were used during training:
 | 4.3024     | 0.0472         | 3.8730          | 0.0551              | 26    |
 | 3.1689     | 0.0693         | 2.4375          | 0.0835              | 27    |
 | 2.3780     | 0.0844         | 2.0498          | 0.0922              | 28    |
+| 2.0789     | 0.0907         | 1.8604          | 0.0958              | 29    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:5ac5a757e77a35ba6c5504e47a61bf35a90345cfd0fd418afbefee960cd37604
+oid sha256:1690f42a63a9df4dbf2a8363b0fe805b13b1a9c374da1f43709b691c040959f1
 size 499741936