Training in progress epoch 37

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: 1.5295
-- Train Accuracy: 0.1022
-- Validation Loss: 1.4238
-- Validation Accuracy: 0.1052
-- Epoch: 36
+- Train Loss: 1.4944
+- Train Accuracy: 0.1030
+- Validation Loss: 1.4141
+- Validation Accuracy: 0.1059
+- Epoch: 37
 
 ## Model description
 
@@ -81,6 +81,7 @@ The following hyperparameters were used during training:
 | 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    |
+| 1.4944     | 0.1030         | 1.4141          | 0.1059              | 37    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:f13881e38e7f554565f088c939191a3bab8a6cfed678fe66ca2d7c75265b5006
 size 499741936