Training in progress epoch 3

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: 0.2734
-- Validation Loss: 0.3804
-- Train Precision: 0.8466
-- Train Recall: 0.8563
-- Train F1: 0.8471
-- Train Accuracy: 0.8872
-- Epoch: 2
+- Train Loss: 0.2020
+- Validation Loss: 0.3704
+- Train Precision: 0.8526
+- Train Recall: 0.8663
+- Train F1: 0.8551
+- Train Accuracy: 0.8896
+- Epoch: 3
 
 ## Model description
 
@@ -49,6 +49,7 @@ The following hyperparameters were used during training:
 | 0.8177     | 0.4723          | 0.8407          | 0.7879       | 0.7948   | 0.8575         | 0     |
 | 0.3642     | 0.3777          | 0.8666          | 0.8315       | 0.8465   | 0.8847         | 1     |
 | 0.2734     | 0.3804          | 0.8466          | 0.8563       | 0.8471   | 0.8872         | 2     |
+| 0.2020     | 0.3704          | 0.8526          | 0.8663       | 0.8551   | 0.8896         | 3     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
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 size 267970240