End of training

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: 0.3233
-- Validation Loss: 0.3099
-- Train Precision: 0.4155
-- Train Recall: 0.2117
-- Train F1: 0.2805
-- Train Accuracy: 0.9333
-- Epoch: 0
+- Train Loss: 0.1210
+- Validation Loss: 0.2698
+- Train Precision: 0.5099
+- Train Recall: 0.3995
+- Train F1: 0.4480
+- Train Accuracy: 0.9444
+- Epoch: 2
 
 ## Model description
 
@@ -47,6 +47,8 @@ The following hyperparameters were used during training:
 | Train Loss | Validation Loss | Train Precision | Train Recall | Train F1 | Train Accuracy | Epoch |
 |:----------:|:---------------:|:---------------:|:------------:|:--------:|:--------------:|:-----:|
 | 0.3233     | 0.3099          | 0.4155          | 0.2117       | 0.2805   | 0.9333         | 0     |
+| 0.1600     | 0.2743          | 0.5111          | 0.3589       | 0.4216   | 0.9416         | 1     |
+| 0.1210     | 0.2698          | 0.5099          | 0.3995       | 0.4480   | 0.9444         | 2     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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 size 265618792