Training in progress epoch 24

README.md

@@ -14,10 +14,10 @@ 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: 0.2504
-- Validation Loss: 0.5912
-- Train Accuracy: 0.6923
-- Epoch: 22
+- Train Loss: 0.1962
+- Validation Loss: 0.5834
+- Train Accuracy: 0.7179
+- Epoch: 24
 
 ## Model description
 
@@ -66,6 +66,8 @@ The following hyperparameters were used during training:
 | 0.2654     | 0.5692          | 0.7179         | 20    |
 | 0.2535     | 0.4808          | 0.7436         | 21    |
 | 0.2504     | 0.5912          | 0.6923         | 22    |
+| 0.2132     | 0.6228          | 0.6923         | 23    |
+| 0.1962     | 0.5834          | 0.7179         | 24    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:46ca1b135bc7f3bfac48dd275bdb60734be648a6a91ff0d227e33ce386a61c06
 size 267955144