Training in progress epoch 75

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: 0.0083
-- Validation Loss: 0.4450
-- Train Accuracy: 0.9033
-- Epoch: 66
+- Train Loss: 0.0072
+- Validation Loss: 0.4641
+- Train Accuracy: 0.8967
+- Epoch: 75
 
 ## Model description
 
@@ -111,6 +111,15 @@ The following hyperparameters were used during training:
 | 0.0091     | 0.4371          | 0.9033         | 64    |
 | 0.0089     | 0.4383          | 0.9033         | 65    |
 | 0.0083     | 0.4450          | 0.9033         | 66    |
+| 0.0080     | 0.4487          | 0.9033         | 67    |
+| 0.0082     | 0.4500          | 0.9            | 68    |
+| 0.0077     | 0.4528          | 0.9033         | 69    |
+| 0.0075     | 0.4516          | 0.9            | 70    |
+| 0.0073     | 0.4474          | 0.9            | 71    |
+| 0.0222     | 0.4517          | 0.9            | 72    |
+| 0.0082     | 0.4778          | 0.9033         | 73    |
+| 0.0072     | 0.4674          | 0.9            | 74    |
+| 0.0072     | 0.4641          | 0.8967         | 75    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:9b54604fa82339a7db31005726ddf8957e29aab2f778df4ced3a7b8640ef5872
+oid sha256:be32f082a8b3289078bfdc90c2bf1dea258da4a007b9256466e1cc560a01411c
 size 1446280280