Training in progress epoch 3

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: 0.0501
-- Validation Loss: 0.1208
-- Train Accuracy: 0.9589
-- Epoch: 2
+- Train Loss: 0.0296
+- Validation Loss: 0.1425
+- Train Accuracy: 0.9585
+- Epoch: 3
 
 ## Model description
 
@@ -47,6 +47,7 @@ The following hyperparameters were used during training:
 | 0.1389     | 0.1092          | 0.9618         | 0     |
 | 0.0782     | 0.1129          | 0.9583         | 1     |
 | 0.0501     | 0.1208          | 0.9589         | 2     |
+| 0.0296     | 0.1425          | 0.9585         | 3     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:fee7a8210efa3e5514f65c104a206a6c66fce182db2d26269b43360b740aac1e
 size 267951808