Training in progress epoch 11

README.md

@@ -15,10 +15,10 @@ 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: 0.0222
-- Validation Loss: 0.2866
-- Train Accuracy: 0.93
-- Epoch: 10
+- Train Loss: 0.0256
+- Validation Loss: 0.2787
+- Train Accuracy: 0.9385
+- Epoch: 11
 
 ## Model description
 
@@ -55,6 +55,7 @@ The following hyperparameters were used during training:
 | 0.0329     | 0.2144          | 0.9355         | 8     |
 | 0.0290     | 0.2548          | 0.935          | 9     |
 | 0.0222     | 0.2866          | 0.93           | 10    |
+| 0.0256     | 0.2787          | 0.9385         | 11    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:254f60bd6c895aea9d429dab9db685e329ba6699359fa6b1049c097c991d8247
 size 267964096