Training in progress epoch 34

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: 0.0130
-- Validation Loss: 0.5585
-- Train Accuracy: 0.9305
-- Epoch: 33
+- Train Loss: 0.0102
+- Validation Loss: 0.4304
+- Train Accuracy: 0.935
+- Epoch: 34
 
 ## Model description
 
@@ -78,6 +78,7 @@ The following hyperparameters were used during training:
 | 0.0124     | 0.4888          | 0.929          | 31    |
 | 0.0146     | 0.5022          | 0.9325         | 32    |
 | 0.0130     | 0.5585          | 0.9305         | 33    |
+| 0.0102     | 0.4304          | 0.935          | 34    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:1ca8681790ce8ad5ea82ee435439cea16fc1fc59118da3afc1dadd7873bd43a7
+oid sha256:191c5837905b78d21be97531e73795f89169ae4a3cd5f9c5b412a15d883dd776
 size 267964096