Training in progress epoch 36

README.md

@@ -14,11 +14,11 @@ probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 1.5753
-- Train Accuracy: 0.1012
-- Validation Loss: 1.4736
-- Validation Accuracy: 0.1037
-- Epoch: 35
+- Train Loss: 1.5295
+- Train Accuracy: 0.1022
+- Validation Loss: 1.4238
+- Validation Accuracy: 0.1052
+- Epoch: 36
 
 ## Model description
 
@@ -80,6 +80,7 @@ The following hyperparameters were used during training:
 | 1.6723     | 0.0991         | 1.5381          | 0.1029              | 33    |
 | 1.6215     | 0.1002         | 1.5283          | 0.1015              | 34    |
 | 1.5753     | 0.1012         | 1.4736          | 0.1037              | 35    |
+| 1.5295     | 0.1022         | 1.4238          | 0.1052              | 36    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:4cc5f2ea6c154d4ec62b60dc61526161ff7b95054717f91dd506797131e86158
 size 499741936