Training in progress epoch 20

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: 0.5132
-- Validation Loss: 0.5293
-- Train Accuracy: 0.89
-- Epoch: 11
+- Train Loss: 0.0886
+- Validation Loss: 0.3831
+- Train Accuracy: 0.9067
+- Epoch: 20
 
 ## Model description
 
@@ -56,6 +56,15 @@ The following hyperparameters were used during training:
 | 0.9752     | 0.7675          | 0.8667         | 9     |
 | 0.6995     | 0.6496          | 0.8667         | 10    |
 | 0.5132     | 0.5293          | 0.89           | 11    |
+| 0.3848     | 0.4618          | 0.9            | 12    |
+| 0.2920     | 0.4516          | 0.8733         | 13    |
+| 0.2286     | 0.4097          | 0.8967         | 14    |
+| 0.1789     | 0.3951          | 0.9            | 15    |
+| 0.1512     | 0.3845          | 0.8933         | 16    |
+| 0.1320     | 0.3741          | 0.9067         | 17    |
+| 0.1116     | 0.3553          | 0.9067         | 18    |
+| 0.0935     | 0.3710          | 0.9            | 19    |
+| 0.0886     | 0.3831          | 0.9067         | 20    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:7dd4fbac30766b96d5e33c0a8d005ca9cb91734f6527b2327c009e3bb76ea843
 size 1446280280