Training in progress epoch 57

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: 0.0138
-- Validation Loss: 0.4046
-- Train Accuracy: 0.9167
-- Epoch: 48
+- Train Loss: 0.0129
+- Validation Loss: 0.4315
+- Train Accuracy: 0.8967
+- Epoch: 57
 
 ## Model description
 
@@ -93,6 +93,15 @@ The following hyperparameters were used during training:
 | 0.0179     | 0.4355          | 0.91           | 46    |
 | 0.0151     | 0.4091          | 0.9133         | 47    |
 | 0.0138     | 0.4046          | 0.9167         | 48    |
+| 0.0128     | 0.4063          | 0.91           | 49    |
+| 0.0174     | 0.4197          | 0.91           | 50    |
+| 0.0247     | 0.4015          | 0.9133         | 51    |
+| 0.0159     | 0.4290          | 0.91           | 52    |
+| 0.0161     | 0.4353          | 0.9033         | 53    |
+| 0.0163     | 0.4568          | 0.9033         | 54    |
+| 0.0153     | 0.4428          | 0.8933         | 55    |
+| 0.0145     | 0.4273          | 0.9033         | 56    |
+| 0.0129     | 0.4315          | 0.8967         | 57    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:c33de6a827fdaf48f2a963d5b44a302a1803b7832dcb08a53b4421d55566a935
+oid sha256:50389d4315bf38ca71874d6838a0d3805f214ade854df9507c1082b815e68ee9
 size 1446280280