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: 0.1219
-- Validation Loss: 0.0905
-- Train Precision: 0.9452
-- Train Recall: 0.9584
-- Train F1: 0.9518
-- Train Accuracy: 0.9668
-- Epoch: 0
+- Train Loss: 0.0796
+- Validation Loss: 0.0845
+- Train Precision: 0.9513
+- Train Recall: 0.9614
+- Train F1: 0.9563
+- Train Accuracy: 0.9693
+- 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 |
 |:----------:|:---------------:|:---------------:|:------------:|:--------:|:--------------:|:-----:|
 | 0.1219     | 0.0905          | 0.9452          | 0.9584       | 0.9518   | 0.9668         | 0     |
+| 0.0796     | 0.0845          | 0.9513          | 0.9614       | 0.9563   | 0.9693         | 1     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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 size 265603344