Training in progress epoch 4

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: 0.0702
-- Validation Loss: 0.0971
-- Train Precision: 0.8728
-- Train Recall: 0.8965
-- Train F1: 0.8845
-- Train Accuracy: 0.9710
-- Epoch: 3
+- Train Loss: 0.0598
+- Validation Loss: 0.0969
+- Train Precision: 0.8759
+- Train Recall: 0.8969
+- Train F1: 0.8863
+- Train Accuracy: 0.9712
+- Epoch: 4
 
 ## Model description
 
@@ -51,6 +51,7 @@ The following hyperparameters were used during training:
 | 0.1322     | 0.1121          | 0.8485          | 0.8725       | 0.8603   | 0.9650         | 1     |
 | 0.0899     | 0.1020          | 0.8607          | 0.8898       | 0.8750   | 0.9683         | 2     |
 | 0.0702     | 0.0971          | 0.8728          | 0.8965       | 0.8845   | 0.9710         | 3     |
+| 0.0598     | 0.0969          | 0.8759          | 0.8969       | 0.8863   | 0.9712         | 4     |
 
 
 ### Framework versions

tf_model.h5

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