Training in progress epoch 2

README.md

@@ -15,13 +15,13 @@ probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilbert/distilbert-base-uncased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 0.4543
-- Validation Loss: 0.4196
-- Train Precision: 0.7037
-- Train Recall: 0.7671
-- Train F1: 0.7340
-- Train Accuracy: 0.8351
-- Epoch: 1
+- Train Loss: 0.3672
+- Validation Loss: 0.3875
+- Train Precision: 0.7295
+- Train Recall: 0.7779
+- Train F1: 0.7529
+- Train Accuracy: 0.8493
+- Epoch: 2
 
 ## Model description
 
@@ -49,6 +49,7 @@ The following hyperparameters were used during training:
 |:----------:|:---------------:|:---------------:|:------------:|:--------:|:--------------:|:-----:|
 | 0.6710     | 0.5020          | 0.6557          | 0.7166       | 0.6848   | 0.8034         | 0     |
 | 0.4543     | 0.4196          | 0.7037          | 0.7671       | 0.7340   | 0.8351         | 1     |
+| 0.3672     | 0.3875          | 0.7295          | 0.7779       | 0.7529   | 0.8493         | 2     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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 size 265587984