Training in progress epoch 6

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: 0.1591
-- Validation Loss: 0.6002
-- Train Accuracy: 0.8592
-- Epoch: 4
+- Train Loss: 0.0736
+- Validation Loss: 0.6388
+- Train Accuracy: 0.8622
+- Epoch: 6
 
 ## Model description
 
@@ -49,6 +49,8 @@ The following hyperparameters were used during training:
 | 0.4078     | 0.5878          | 0.8536         | 2     |
 | 0.2534     | 0.5710          | 0.8585         | 3     |
 | 0.1591     | 0.6002          | 0.8592         | 4     |
+| 0.1124     | 0.6188          | 0.8585         | 5     |
+| 0.0736     | 0.6388          | 0.8622         | 6     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:fb241458a0bc7303be1a5cdc56aa39d152147df8f312f8e11d174e59eab33fe8
 size 268129984