Training in progress epoch 93

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: 0.0112
-- Validation Loss: 0.4995
-- Train Accuracy: 0.9
-- Epoch: 84
+- Train Loss: 0.0053
+- Validation Loss: 0.4856
+- Train Accuracy: 0.9033
+- Epoch: 93
 
 ## Model description
 
@@ -129,6 +129,15 @@ The following hyperparameters were used during training:
 | 0.0107     | 0.4594          | 0.9033         | 82    |
 | 0.0072     | 0.4353          | 0.9033         | 83    |
 | 0.0112     | 0.4995          | 0.9            | 84    |
+| 0.0063     | 0.4875          | 0.8967         | 85    |
+| 0.0060     | 0.4859          | 0.9033         | 86    |
+| 0.0061     | 0.4804          | 0.9            | 87    |
+| 0.0058     | 0.4811          | 0.9033         | 88    |
+| 0.0058     | 0.4805          | 0.9033         | 89    |
+| 0.0057     | 0.4811          | 0.9033         | 90    |
+| 0.0057     | 0.4865          | 0.9033         | 91    |
+| 0.0055     | 0.4864          | 0.9033         | 92    |
+| 0.0053     | 0.4856          | 0.9033         | 93    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:cac2aff20d7ae987d37dc017d19f36497fc0b641ca499ecb1dc034d6d0203a47
+oid sha256:068cb620a6e88cdb2f8e986aba71c9c56fd3210388637e4a73af29aa0cdc9532
 size 1446280280