Training in progress epoch 1

README.md

@@ -15,11 +15,11 @@ 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: 0.1207
-- Validation Loss: 0.0677
-- Train Accuracy: 0.9723
-- Train F1: 0.9726
-- Epoch: 0
+- Train Loss: 0.0343
+- Validation Loss: 0.0736
+- Train Accuracy: 0.9753
+- Train F1: 0.9756
+- Epoch: 1
 
 ## Model description
 
@@ -46,6 +46,7 @@ The following hyperparameters were used during training:
 | Train Loss | Validation Loss | Train Accuracy | Train F1 | Epoch |
 |:----------:|:---------------:|:--------------:|:--------:|:-----:|
 | 0.1207     | 0.0677          | 0.9723         | 0.9726   | 0     |
+| 0.0343     | 0.0736          | 0.9753         | 0.9756   | 1     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:abc0429131eb14c7f5856c154dccfd5de2b3d962a6a4997546c8152f578c4e42
 size 267951808