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: 0.0224
-- Validation Loss: 0.6014
-- Train Accuracy: 0.9065
-- Epoch: 10
+- Train Loss: 0.0168
+- Validation Loss: 0.6000
+- Train Accuracy: 0.914
+- Epoch: 11
 
 ## Model description
 
@@ -55,6 +55,7 @@ The following hyperparameters were used during training:
 | 0.0183     | 0.7842          | 0.9005         | 8     |
 | 0.0192     | 0.7431          | 0.901          | 9     |
 | 0.0224     | 0.6014          | 0.9065         | 10    |
+| 0.0168     | 0.6000          | 0.914          | 11    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:897f9eae5b7634be6779e019adbb376716dfc4e547da21d5dc2e08880c6c2007
 size 267964096