Training in progress epoch 23

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: 0.0108
-- Validation Loss: 0.7883
-- Train Accuracy: 0.8965
-- Epoch: 22
+- Train Loss: 0.0159
+- Validation Loss: 0.7443
+- Train Accuracy: 0.8885
+- Epoch: 23
 
 ## Model description
 
@@ -67,6 +67,7 @@ The following hyperparameters were used during training:
 | 0.0192     | 0.7535          | 0.903          | 20    |
 | 0.0206     | 0.7428          | 0.8995         | 21    |
 | 0.0108     | 0.7883          | 0.8965         | 22    |
+| 0.0159     | 0.7443          | 0.8885         | 23    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:d8c9b25c726c3a07d4b5a3333af793532e53da93924b023950fdf69b299e1e08
+oid sha256:f31eb706e80ceab5bff87080fb626e038a7d127927ed1d8fa97d18dd1a412a1b
 size 267964096