Training in progress epoch 11

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: 5.1007
-- Validation Loss: 4.9565
-- Train Accuracy: 0.0133
-- Epoch: 0
+- Train Loss: 0.5132
+- Validation Loss: 0.5293
+- Train Accuracy: 0.89
+- Epoch: 11
 
 ## Model description
 
@@ -45,6 +45,17 @@ The following hyperparameters were used during training:
 | Train Loss | Validation Loss | Train Accuracy | Epoch |
 |:----------:|:---------------:|:--------------:|:-----:|
 | 5.1007     | 4.9565          | 0.0133         | 0     |
+| 5.0503     | 4.8870          | 0.0367         | 1     |
+| 4.9095     | 4.6674          | 0.07           | 2     |
+| 4.5990     | 4.1706          | 0.2033         | 3     |
+| 4.0403     | 3.4616          | 0.4267         | 4     |
+| 3.2648     | 2.6274          | 0.6033         | 5     |
+| 2.5315     | 1.8851          | 0.71           | 6     |
+| 1.8938     | 1.4084          | 0.8033         | 7     |
+| 1.3599     | 1.0397          | 0.84           | 8     |
+| 0.9752     | 0.7675          | 0.8667         | 9     |
+| 0.6995     | 0.6496          | 0.8667         | 10    |
+| 0.5132     | 0.5293          | 0.89           | 11    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:a5da53b805f30f72cf62e3e17835c5c9ee80702e7b663a6b45ad7da13e6c16df
+oid sha256:46a73a3d309729ce9c575398a9a07637a81dc78efa521072fffaa318e8c9231e
 size 1446280280