Training in progress epoch 0

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: 0.0547
-- Validation Loss: 0.0134
-- Train Accuracy: 1.0
-- Epoch: 4
+- Train Loss: 1.2095
+- Validation Loss: 0.7746
+- Train Accuracy: 0.6923
+- Epoch: 0
 
 ## Model description
 
@@ -43,11 +43,7 @@ The following hyperparameters were used during training:
 
 | Train Loss | Validation Loss | Train Accuracy | Epoch |
 |:----------:|:---------------:|:--------------:|:-----:|
-| 1.4305     | 1.2792          | 0.6923         | 0     |
-| 0.7122     | 0.4705          | 0.7949         | 1     |
-| 0.2885     | 0.1013          | 1.0            | 2     |
-| 0.1129     | 0.0375          | 1.0            | 3     |
-| 0.0547     | 0.0134          | 1.0            | 4     |
+| 1.2095     | 0.7746          | 0.6923         | 0     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:d450da8eee1bfcde88fe6547e4fc7cfa8d864ff68788ac1e7fd69a87d19631aa
 size 469461000