Training in progress epoch 180

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: 0.8456
-- Train Accuracy: 0.1184
-- Validation Loss: 0.8472
-- Validation Accuracy: 0.1186
-- Epoch: 179
+- Train Loss: 0.8451
+- Train Accuracy: 0.1185
+- Validation Loss: 0.8672
+- Validation Accuracy: 0.1178
+- Epoch: 180
 
 ## Model description
 
@@ -224,6 +224,7 @@ The following hyperparameters were used during training:
 | 0.8478     | 0.1184         | 0.8594          | 0.1191              | 177   |
 | 0.8466     | 0.1184         | 0.8608          | 0.1187              | 178   |
 | 0.8456     | 0.1184         | 0.8472          | 0.1186              | 179   |
+| 0.8451     | 0.1185         | 0.8672          | 0.1178              | 180   |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:c9f4666ecfe7f4ce6d1ca39054e5e1c874ef369a4ee77d1b89753910d57968f1
 size 499741936