Training in progress epoch 197

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: 0.8307
-- Train Accuracy: 0.1188
-- Validation Loss: 0.8584
-- Validation Accuracy: 0.1186
-- Epoch: 196
+- Train Loss: 0.8294
+- Train Accuracy: 0.1189
+- Validation Loss: 0.8345
+- Validation Accuracy: 0.1197
+- Epoch: 197
 
 ## Model description
 
@@ -241,6 +241,7 @@ The following hyperparameters were used during training:
 | 0.8322     | 0.1188         | 0.8574          | 0.1199              | 194   |
 | 0.8314     | 0.1188         | 0.8472          | 0.1202              | 195   |
 | 0.8307     | 0.1188         | 0.8584          | 0.1186              | 196   |
+| 0.8294     | 0.1189         | 0.8345          | 0.1197              | 197   |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:e08541c1fa1f68bbf9b7341f79a99146012e55c67a062c1f9bc245cb2cc5be13
 size 499741936