Training in progress epoch 84

README.md

@@ -15,10 +15,10 @@ probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [xlnet-large-cased](https://huggingface.co/xlnet-large-cased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 0.0072
-- Validation Loss: 0.4641
-- Train Accuracy: 0.8967
-- Epoch: 75
+- Train Loss: 0.0112
+- Validation Loss: 0.4995
+- Train Accuracy: 0.9
+- Epoch: 84
 
 ## Model description
 
@@ -120,6 +120,15 @@ The following hyperparameters were used during training:
 | 0.0082     | 0.4778          | 0.9033         | 73    |
 | 0.0072     | 0.4674          | 0.9            | 74    |
 | 0.0072     | 0.4641          | 0.8967         | 75    |
+| 0.0068     | 0.4537          | 0.9            | 76    |
+| 0.0066     | 0.4565          | 0.8967         | 77    |
+| 0.0063     | 0.4551          | 0.9033         | 78    |
+| 0.0078     | 0.4614          | 0.8967         | 79    |
+| 0.0107     | 0.4598          | 0.8967         | 80    |
+| 0.0069     | 0.4536          | 0.9            | 81    |
+| 0.0107     | 0.4594          | 0.9033         | 82    |
+| 0.0072     | 0.4353          | 0.9033         | 83    |
+| 0.0112     | 0.4995          | 0.9            | 84    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:be32f082a8b3289078bfdc90c2bf1dea258da4a007b9256466e1cc560a01411c
+oid sha256:cac2aff20d7ae987d37dc017d19f36497fc0b641ca499ecb1dc034d6d0203a47
 size 1446280280