Training in progress epoch 33

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: 1.7370
-- Train Accuracy: 0.0978
-- Validation Loss: 1.5869
-- Validation Accuracy: 0.1014
-- Epoch: 32
+- Train Loss: 1.6723
+- Train Accuracy: 0.0991
+- Validation Loss: 1.5381
+- Validation Accuracy: 0.1029
+- Epoch: 33
 
 ## Model description
 
@@ -77,6 +77,7 @@ The following hyperparameters were used during training:
 | 1.9204     | 0.0940         | 1.7549          | 0.0982              | 30    |
 | 1.8162     | 0.0961         | 1.6836          | 0.0983              | 31    |
 | 1.7370     | 0.0978         | 1.5869          | 0.1014              | 32    |
+| 1.6723     | 0.0991         | 1.5381          | 0.1029              | 33    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:d728318f1a4e6ba9ff2c652fc099d256871a88de2f3015deafd8d0a23012f301
 size 499741936