Training in progress epoch 38

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: 0.0387
-- Validation Loss: 0.3465
-- Train Accuracy: 0.91
-- Epoch: 29
+- Train Loss: 0.0230
+- Validation Loss: 0.3678
+- Train Accuracy: 0.9067
+- Epoch: 38
 
 ## Model description
 
@@ -74,6 +74,15 @@ The following hyperparameters were used during training:
 | 0.0394     | 0.3624          | 0.91           | 27    |
 | 0.0394     | 0.3249          | 0.9167         | 28    |
 | 0.0387     | 0.3465          | 0.91           | 29    |
+| 0.0456     | 0.3580          | 0.91           | 30    |
+| 0.0323     | 0.3645          | 0.9133         | 31    |
+| 0.0308     | 0.3633          | 0.9133         | 32    |
+| 0.0312     | 0.3658          | 0.9033         | 33    |
+| 0.0244     | 0.3621          | 0.9067         | 34    |
+| 0.0255     | 0.3705          | 0.9067         | 35    |
+| 0.0238     | 0.3618          | 0.9067         | 36    |
+| 0.0222     | 0.3603          | 0.9067         | 37    |
+| 0.0230     | 0.3678          | 0.9067         | 38    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:931dbe0c197938138af2656bc8092383007584db1341f1a9321c9ec379029d20
+oid sha256:788c1073f5647cab5360685ca06ff94f0703f3e14767d23567f47bb094423d67
 size 1446280280