Training in progress epoch 48

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: 0.0230
-- Validation Loss: 0.3678
-- Train Accuracy: 0.9067
-- Epoch: 38
+- Train Loss: 0.0138
+- Validation Loss: 0.4046
+- Train Accuracy: 0.9167
+- Epoch: 48
 
 ## Model description
 
@@ -83,6 +83,16 @@ The following hyperparameters were used during training:
 | 0.0238     | 0.3618          | 0.9067         | 36    |
 | 0.0222     | 0.3603          | 0.9067         | 37    |
 | 0.0230     | 0.3678          | 0.9067         | 38    |
+| 0.0272     | 0.4125          | 0.9033         | 39    |
+| 0.0318     | 0.3973          | 0.91           | 40    |
+| 0.0262     | 0.3871          | 0.9067         | 41    |
+| 0.0299     | 0.3935          | 0.9033         | 42    |
+| 0.0285     | 0.4192          | 0.9067         | 43    |
+| 0.0206     | 0.4100          | 0.9133         | 44    |
+| 0.0188     | 0.4106          | 0.9067         | 45    |
+| 0.0179     | 0.4355          | 0.91           | 46    |
+| 0.0151     | 0.4091          | 0.9133         | 47    |
+| 0.0138     | 0.4046          | 0.9167         | 48    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:788c1073f5647cab5360685ca06ff94f0703f3e14767d23567f47bb094423d67
+oid sha256:c33de6a827fdaf48f2a963d5b44a302a1803b7832dcb08a53b4421d55566a935
 size 1446280280