End of training

README.md

@@ -14,9 +14,9 @@ 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: 1.9721
-- Validation Loss: 1.8113
-- Epoch: 0
+- Train Loss: 0.6593
+- Validation Loss: 0.6130
+- Epoch: 9
 
 ## Model description
 
@@ -43,6 +43,15 @@ The following hyperparameters were used during training:
 | Train Loss | Validation Loss | Epoch |
 |:----------:|:---------------:|:-----:|
 | 1.9721     | 1.8113          | 0     |
+| 1.6564     | 1.5052          | 1     |
+| 1.3640     | 1.2332          | 2     |
+| 1.1078     | 0.9996          | 3     |
+| 0.9158     | 0.8249          | 4     |
+| 0.7850     | 0.7188          | 5     |
+| 0.7135     | 0.6595          | 6     |
+| 0.6822     | 0.6310          | 7     |
+| 0.6394     | 0.6171          | 8     |
+| 0.6593     | 0.6130          | 9     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:5a8cd103fc4ddc66dc29499f80bdda91551f3492e0d035be003c6713f9e8331c
 size 265599328