Training in progress epoch 3

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: 0.0891
-- Validation Loss: 0.1012
-- Train Precision: 0.7698
-- Train Recall: 0.8525
-- Train F1: 0.8090
-- Train Accuracy: 0.9701
-- Epoch: 2
+- Train Loss: 0.0699
+- Validation Loss: 0.0976
+- Train Precision: 0.7933
+- Train Recall: 0.8507
+- Train F1: 0.8210
+- Train Accuracy: 0.9713
+- Epoch: 3
 
 ## Model description
 
@@ -50,6 +50,7 @@ The following hyperparameters were used during training:
 | 0.4207     | 0.1608          | 0.6623          | 0.7498       | 0.7034   | 0.9557         | 0     |
 | 0.1304     | 0.1118          | 0.7580          | 0.8116       | 0.7839   | 0.9668         | 1     |
 | 0.0891     | 0.1012          | 0.7698          | 0.8525       | 0.8090   | 0.9701         | 2     |
+| 0.0699     | 0.0976          | 0.7933          | 0.8507       | 0.8210   | 0.9713         | 3     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
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 size 265667856