Training in progress epoch 9

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: 0.0183
-- Validation Loss: 0.7842
-- Train Accuracy: 0.9005
-- Epoch: 8
+- Train Loss: 0.0192
+- Validation Loss: 0.7431
+- Train Accuracy: 0.901
+- Epoch: 9
 
 ## Model description
 
@@ -53,6 +53,7 @@ The following hyperparameters were used during training:
 | 0.0126     | 0.7461          | 0.8945         | 6     |
 | 0.0212     | 0.7539          | 0.9035         | 7     |
 | 0.0183     | 0.7842          | 0.9005         | 8     |
+| 0.0192     | 0.7431          | 0.901          | 9     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:879e0286ce2c6d73eaa57e087a8116b21bcbf849300fc7b999fc2560c6455133
+oid sha256:7bc3bed4c315b6b03cd247a11448bd7bf25e1d7e12c7cab498ec33b3fb198939
 size 267964096