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: 3.2752
-- Validation Loss: 3.0320
-- Epoch: 0
+- Train Loss: 1.6021
+- Validation Loss: 1.6163
+- Epoch: 9
 
 ## Model description
 
@@ -43,6 +43,15 @@ The following hyperparameters were used during training:
 | Train Loss | Validation Loss | Epoch |
 |:----------:|:---------------:|:-----:|
 | 3.2752     | 3.0320          | 0     |
+| 2.7791     | 2.5293          | 1     |
+| 2.2674     | 2.0340          | 2     |
+| 1.8952     | 1.8222          | 3     |
+| 1.7933     | 1.7669          | 4     |
+| 1.7352     | 1.7158          | 5     |
+| 1.6868     | 1.6706          | 6     |
+| 1.6242     | 1.6412          | 7     |
+| 1.5899     | 1.6234          | 8     |
+| 1.6021     | 1.6163          | 9     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:d7d555a9991133cf8d538ee2b08b966bc23890290b5df6cf00426fc36cad0c1f
 size 265666912