Training in progress epoch 21

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: 0.2654
-- Validation Loss: 0.5692
-- Train Accuracy: 0.7179
-- Epoch: 20
+- Train Loss: 0.2535
+- Validation Loss: 0.4808
+- Train Accuracy: 0.7436
+- Epoch: 21
 
 ## Model description
 
@@ -64,6 +64,7 @@ The following hyperparameters were used during training:
 | 0.3083     | 0.5091          | 0.7179         | 18    |
 | 0.2815     | 0.5457          | 0.7179         | 19    |
 | 0.2654     | 0.5692          | 0.7179         | 20    |
+| 0.2535     | 0.4808          | 0.7436         | 21    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:bd66bc2485fd7699576a3a48f87daa09de300bdcd9f30095f118047b302b64b3
 size 267955144