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-cased](https://huggingface.co/distilbert-base-cased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 1.6490
-- Validation Loss: 1.2199
-- Epoch: 0
+- Train Loss: 0.9936
+- Validation Loss: 0.9867
+- Epoch: 13
 
 ## Model description
 
@@ -43,6 +43,19 @@ The following hyperparameters were used during training:
 | Train Loss | Validation Loss | Epoch |
 |:----------:|:---------------:|:-----:|
 | 1.6490     | 1.2199          | 0     |
+| 1.2679     | 1.1622          | 1     |
+| 1.1796     | 1.0931          | 2     |
+| 1.1200     | 1.0274          | 3     |
+| 1.0841     | 1.0739          | 4     |
+| 1.0567     | 1.0317          | 5     |
+| 1.0164     | 0.9895          | 6     |
+| 0.9819     | 1.0365          | 7     |
+| 0.9960     | 0.9857          | 8     |
+| 1.0143     | 0.9954          | 9     |
+| 1.0156     | 1.0173          | 10    |
+| 0.9915     | 1.0391          | 11    |
+| 1.0246     | 1.0288          | 12    |
+| 0.9936     | 0.9867          | 13    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:6afe1907f5ea6baf44f27d621c05740a5fc1ae953403948595f365235391d7e5
+oid sha256:f33317fe72f9f5c5677c4d3ad4a5a884e596effd42e50b1d3a0043b5f7796cfb
 size 354041832