Training in progress epoch 66

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: 0.0129
-- Validation Loss: 0.4315
-- Train Accuracy: 0.8967
-- Epoch: 57
+- Train Loss: 0.0083
+- Validation Loss: 0.4450
+- Train Accuracy: 0.9033
+- Epoch: 66
 
 ## Model description
 
@@ -102,6 +102,15 @@ The following hyperparameters were used during training:
 | 0.0153     | 0.4428          | 0.8933         | 55    |
 | 0.0145     | 0.4273          | 0.9033         | 56    |
 | 0.0129     | 0.4315          | 0.8967         | 57    |
+| 0.0107     | 0.4265          | 0.8933         | 58    |
+| 0.0173     | 0.4303          | 0.8967         | 59    |
+| 0.0150     | 0.4386          | 0.8933         | 60    |
+| 0.0166     | 0.4308          | 0.91           | 61    |
+| 0.0135     | 0.4533          | 0.8933         | 62    |
+| 0.0096     | 0.4507          | 0.9            | 63    |
+| 0.0091     | 0.4371          | 0.9033         | 64    |
+| 0.0089     | 0.4383          | 0.9033         | 65    |
+| 0.0083     | 0.4450          | 0.9033         | 66    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:50389d4315bf38ca71874d6838a0d3805f214ade854df9507c1082b815e68ee9
+oid sha256:9b54604fa82339a7db31005726ddf8957e29aab2f778df4ced3a7b8640ef5872
 size 1446280280