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: 1.0162
-- Validation Loss: 1.0010
-- Epoch: 0
+- Train Loss: 0.7428
+- Validation Loss: 0.9322
+- Epoch: 9
 
 ## Model description
 
@@ -43,6 +43,15 @@ The following hyperparameters were used during training:
 | Train Loss | Validation Loss | Epoch |
 |:----------:|:---------------:|:-----:|
 | 1.0162     | 1.0010          | 0     |
+| 0.9552     | 0.9574          | 1     |
+| 0.8928     | 0.9393          | 2     |
+| 0.8238     | 0.9412          | 3     |
+| 0.7581     | 0.9322          | 4     |
+| 0.7268     | 0.9322          | 5     |
+| 0.7310     | 0.9322          | 6     |
+| 0.7390     | 0.9322          | 7     |
+| 0.7423     | 0.9322          | 8     |
+| 0.7428     | 0.9322          | 9     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:905debf1270ebd0563dcb265e1cdc0aba2f226552e000c08ab009a690881f1cb
 size 267954968