Training in progress epoch 2

README.md

@@ -15,14 +15,14 @@ probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [xlnet/xlnet-base-cased](https://huggingface.co/xlnet/xlnet-base-cased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 0.1997
-- Train Accuracy: 0.931
-- Validation Loss: 0.1945
-- Validation Accuracy: 0.9310
-- Train Precision: 0.9330
-- Train Recall: 0.931
-- Train F1: 0.9305
-- Epoch: 1
+- Train Loss: 0.1395
+- Train Accuracy: 0.936
+- Validation Loss: 0.1985
+- Validation Accuracy: 0.9360
+- Train Precision: 0.9386
+- Train Recall: 0.936
+- Train F1: 0.9353
+- Epoch: 2
 
 ## Model description
 
@@ -50,6 +50,7 @@ The following hyperparameters were used during training:
 |:----------:|:--------------:|:---------------:|:-------------------:|:---------------:|:------------:|:--------:|:-----:|
 | 0.6647     | 0.9205         | 0.2528          | 0.9205              | 0.9226          | 0.9205       | 0.9200   | 0     |
 | 0.1997     | 0.931          | 0.1945          | 0.9310              | 0.9330          | 0.931        | 0.9305   | 1     |
+| 0.1395     | 0.936          | 0.1985          | 0.9360              | 0.9386          | 0.936        | 0.9353   | 2     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:51bde61e85d1da1cf5343a9d735a6f3cae21ff37f0a61f25bd0a057e01c61e37
 size 469444616