Training in progress epoch 3

README.md

@@ -14,10 +14,10 @@ probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [xlnet-base-cased](https://huggingface.co/xlnet-base-cased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 1.6600
-- Validation Loss: 1.5772
-- Train Accuracy: 0.3077
-- Epoch: 0
+- Train Loss: 0.9700
+- Validation Loss: 0.9578
+- Train Accuracy: 0.6923
+- Epoch: 3
 
 ## Model description
 
@@ -44,6 +44,9 @@ The following hyperparameters were used during training:
 | Train Loss | Validation Loss | Train Accuracy | Epoch |
 |:----------:|:---------------:|:--------------:|:-----:|
 | 1.6600     | 1.5772          | 0.3077         | 0     |
+| 1.3802     | 1.4604          | 0.6923         | 1     |
+| 1.1969     | 1.1759          | 0.6923         | 2     |
+| 0.9700     | 0.9578          | 0.6923         | 3     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:72b844f2314726e7bfaea2d2b7b52983198ba949ae228be30ebc86368c591d67
 size 469461000