Training in progress epoch 8

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: 1.1390
-- Validation Loss: 1.0990
-- Train Precision: 0.4018
-- Train Recall: 0.4527
-- Train F1: 0.4257
-- Train Accuracy: 0.7181
-- Epoch: 3
+- Train Loss: 0.7000
+- Validation Loss: 0.7872
+- Train Precision: 0.5281
+- Train Recall: 0.5842
+- Train F1: 0.5547
+- Train Accuracy: 0.7975
+- Epoch: 8
 
 ## Model description
 
@@ -50,6 +50,11 @@ The following hyperparameters were used during training:
 | 1.7401     | 1.5194          | 0.1820          | 0.0693       | 0.1004   | 0.5902         | 1     |
 | 1.3487     | 1.2627          | 0.2628          | 0.2952       | 0.2781   | 0.6766         | 2     |
 | 1.1390     | 1.0990          | 0.4018          | 0.4527       | 0.4257   | 0.7181         | 3     |
+| 0.9823     | 0.9837          | 0.4575          | 0.4887       | 0.4726   | 0.7311         | 4     |
+| 0.8741     | 0.9022          | 0.5008          | 0.5338       | 0.5168   | 0.7544         | 5     |
+| 0.7904     | 0.8449          | 0.5085          | 0.5626       | 0.5342   | 0.7776         | 6     |
+| 0.7327     | 0.8097          | 0.5211          | 0.5779       | 0.5480   | 0.7917         | 7     |
+| 0.7000     | 0.7872          | 0.5281          | 0.5842       | 0.5547   | 0.7975         | 8     |
 
 
 ### Framework versions

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tf_model.h5

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