Training in progress epoch 9

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: 5.1411
-- Validation Loss: 5.0487
-- Train Accuracy: 0.01
-- Epoch: 0
+- Train Loss: 0.7254
+- Validation Loss: 0.6440
+- Train Accuracy: 0.88
+- Epoch: 9
 
 ## Model description
 
@@ -45,6 +45,15 @@ The following hyperparameters were used during training:
 | Train Loss | Validation Loss | Train Accuracy | Epoch |
 |:----------:|:---------------:|:--------------:|:-----:|
 | 5.1411     | 5.0487          | 0.01           | 0     |
+| 5.0561     | 4.8924          | 0.0267         | 1     |
+| 4.8362     | 4.4063          | 0.2033         | 2     |
+| 4.2361     | 3.4961          | 0.45           | 3     |
+| 3.3575     | 2.5506          | 0.6167         | 4     |
+| 2.5070     | 1.8625          | 0.74           | 5     |
+| 1.8507     | 1.3431          | 0.8067         | 6     |
+| 1.3367     | 0.9980          | 0.84           | 7     |
+| 0.9787     | 0.7747          | 0.86           | 8     |
+| 0.7254     | 0.6440          | 0.88           | 9     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:44bc30fe9edcf0a7fd1b17e134669ec9f88e2b0c2a6367a28380aafe18668c4c
 size 1446280280