Training in progress epoch 155

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: 0.8736
-- Train Accuracy: 0.1177
-- Validation Loss: 0.8726
-- Validation Accuracy: 0.1184
-- Epoch: 154
+- Train Loss: 0.8716
+- Train Accuracy: 0.1178
+- Validation Loss: 0.8647
+- Validation Accuracy: 0.1186
+- Epoch: 155
 
 ## Model description
 
@@ -199,6 +199,7 @@ The following hyperparameters were used during training:
 | 0.8747     | 0.1177         | 0.8730          | 0.1178              | 152   |
 | 0.8737     | 0.1177         | 0.8696          | 0.1195              | 153   |
 | 0.8736     | 0.1177         | 0.8726          | 0.1184              | 154   |
+| 0.8716     | 0.1178         | 0.8647          | 0.1186              | 155   |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:eb539679905e18c3b163ae061252e5480692399653e8a680d3d9498c5bb5f9c0
 size 499741936