Training in progress epoch 2

README.md

@@ -15,10 +15,10 @@ probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [distilroberta-base](https://huggingface.co/distilroberta-base) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 0.1732
-- Validation Loss: 0.1821
-- Train Accuracy: 0.941
-- Epoch: 1
+- Train Loss: 0.1337
+- Validation Loss: 0.1703
+- Train Accuracy: 0.942
+- Epoch: 2
 
 ## Model description
 
@@ -46,6 +46,7 @@ The following hyperparameters were used during training:
 |:----------:|:---------------:|:--------------:|:-----:|
 | 0.5011     | 0.2383          | 0.93           | 0     |
 | 0.1732     | 0.1821          | 0.941          | 1     |
+| 0.1337     | 0.1703          | 0.942          | 2     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:5b0eca32892ffbb82e4a8c81aa9bc7c4480bd509f8b8b7cf5501dadce31bf74a
 size 328641624