Training in progress epoch 1

README.md

@@ -14,13 +14,13 @@ probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 0.1611
-- Validation Loss: 0.0606
-- Train Precision: 0.8987
-- Train Recall: 0.9164
-- Train F1: 0.9074
-- Train Accuracy: 0.9830
-- Epoch: 0
+- Train Loss: 0.0427
+- Validation Loss: 0.0479
+- Train Precision: 0.9227
+- Train Recall: 0.9360
+- Train F1: 0.9293
+- Train Accuracy: 0.9867
+- Epoch: 1
 
 ## Model description
 
@@ -47,6 +47,7 @@ The following hyperparameters were used during training:
 | Train Loss | Validation Loss | Train Precision | Train Recall | Train F1 | Train Accuracy | Epoch |
 |:----------:|:---------------:|:---------------:|:------------:|:--------:|:--------------:|:-----:|
 | 0.1611     | 0.0606          | 0.8987          | 0.9164       | 0.9074   | 0.9830         | 0     |
+| 0.0427     | 0.0479          | 0.9227          | 0.9360       | 0.9293   | 0.9867         | 1     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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 size 265606504