Training in progress epoch 1

README.md

@@ -15,13 +15,13 @@ 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: 0.1337
-- Validation Loss: 0.0709
-- Train Precision: 0.8861
-- Train Recall: 0.8913
-- Train F1: 0.8887
-- Train Accuracy: 0.9753
-- Epoch: 0
+- Train Loss: 0.0562
+- Validation Loss: 0.0600
+- Train Precision: 0.9113
+- Train Recall: 0.9107
+- Train F1: 0.9110
+- Train Accuracy: 0.9795
+- Epoch: 1
 
 ## Model description
 
@@ -48,6 +48,7 @@ The following hyperparameters were used during training:
 | Train Loss | Validation Loss | Train Precision | Train Recall | Train F1 | Train Accuracy | Epoch |
 |:----------:|:---------------:|:---------------:|:------------:|:--------:|:--------------:|:-----:|
 | 0.1337     | 0.0709          | 0.8861          | 0.8913       | 0.8887   | 0.9753         | 0     |
+| 0.0562     | 0.0600          | 0.9113          | 0.9107       | 0.9110   | 0.9795         | 1     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:d9bcc057b9f9c72b766a8b57b7a4949f92b554cf5cfd548d394e1a5b2dbb90ed
 size 265600272