Training in progress epoch 1

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: 0.6647
-- Train Accuracy: 0.9205
-- Validation Loss: 0.2528
-- Validation Accuracy: 0.9205
-- Train Precision: 0.9226
-- Train Recall: 0.9205
-- Train F1: 0.9200
-- Epoch: 0
+- 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
 
 ## Model description
 
@@ -49,6 +49,7 @@ The following hyperparameters were used during training:
 | Train Loss | Train Accuracy | Validation Loss | Validation Accuracy | Train Precision | Train Recall | Train F1 | Epoch |
 |:----------:|:--------------:|:---------------:|:-------------------:|:---------------:|:------------:|:--------:|:-----:|
 | 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     |
 
 
 ### Framework versions

tf_model.h5

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