Training in progress epoch 152

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: 0.8756
-- Train Accuracy: 0.1176
-- Validation Loss: 0.8862
-- Validation Accuracy: 0.1170
-- Epoch: 151
+- Train Loss: 0.8747
+- Train Accuracy: 0.1177
+- Validation Loss: 0.8730
+- Validation Accuracy: 0.1178
+- Epoch: 152
 
 ## Model description
 
@@ -196,6 +196,7 @@ The following hyperparameters were used during training:
 | 0.8794     | 0.1175         | 0.8774          | 0.1181              | 149   |
 | 0.8780     | 0.1176         | 0.875           | 0.1178              | 150   |
 | 0.8756     | 0.1176         | 0.8862          | 0.1170              | 151   |
+| 0.8747     | 0.1177         | 0.8730          | 0.1178              | 152   |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:438cf3c1bec9dbf9f4f2e5074c41123cb4dc1c0c994ed378ef2ccaef458b2673
 size 499741936