Training in progress epoch 78

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: 1.0791
-- Train Accuracy: 0.1126
-- Validation Loss: 1.0244
-- Validation Accuracy: 0.1148
-- Epoch: 77
+- Train Loss: 1.0764
+- Train Accuracy: 0.1127
+- Validation Loss: 1.0366
+- Validation Accuracy: 0.1141
+- Epoch: 78
 
 ## Model description
 
@@ -122,6 +122,7 @@ The following hyperparameters were used during training:
 | 1.0839     | 0.1125         | 1.0449          | 0.1144              | 75    |
 | 1.0821     | 0.1125         | 1.0229          | 0.1148              | 76    |
 | 1.0791     | 0.1126         | 1.0244          | 0.1148              | 77    |
+| 1.0764     | 0.1127         | 1.0366          | 0.1141              | 78    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:ca73d032b17fb5bff7b1640b8990be592748a7566d8594178f873494589143f5
 size 499741936