Training in progress epoch 4

README.md

@@ -14,13 +14,13 @@ 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: 0.3005
-- Validation Loss: 0.5042
-- Train Precision: 0.6594
-- Train Recall: 0.6486
-- Train F1: 0.6531
-- Train Accuracy: 0.8610
-- Epoch: 3
+- Train Loss: 0.2317
+- Validation Loss: 0.5081
+- Train Precision: 0.6613
+- Train Recall: 0.6531
+- Train F1: 0.6566
+- Train Accuracy: 0.8581
+- Epoch: 4
 
 ## Model description
 
@@ -50,6 +50,7 @@ The following hyperparameters were used during training:
 | 0.5456     | 0.5544          | 0.6316          | 0.6172       | 0.6214   | 0.8435         | 1     |
 | 0.3904     | 0.5303          | 0.6384          | 0.6191       | 0.6239   | 0.8523         | 2     |
 | 0.3005     | 0.5042          | 0.6594          | 0.6486       | 0.6531   | 0.8610         | 3     |
+| 0.2317     | 0.5081          | 0.6613          | 0.6531       | 0.6566   | 0.8581         | 4     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
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 size 268010440