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: 0.0745
-- Validation Loss: 0.1010
-- Train Precision: 0.8641
-- Train Recall: 0.8902
-- Train F1: 0.8770
-- Train Accuracy: 0.9689
-- Epoch: 3
+- Train Loss: 0.0630
+- Validation Loss: 0.1013
+- Train Precision: 0.8675
+- Train Recall: 0.8909
+- Train F1: 0.8791
+- Train Accuracy: 0.9697
+- Epoch: 4
 
 ## Model description
 
@@ -51,6 +51,7 @@ The following hyperparameters were used during training:
 | 0.1420     | 0.1181          | 0.8438          | 0.8515       | 0.8477   | 0.9624         | 1     |
 | 0.0968     | 0.1056          | 0.8522          | 0.8820       | 0.8668   | 0.9666         | 2     |
 | 0.0745     | 0.1010          | 0.8641          | 0.8902       | 0.8770   | 0.9689         | 3     |
+| 0.0630     | 0.1013          | 0.8675          | 0.8909       | 0.8791   | 0.9697         | 4     |
 
 
 ### Framework versions

tf_model.h5

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