Training in progress epoch 189

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: 0.8374
-- Train Accuracy: 0.1186
-- Validation Loss: 0.8374
-- Validation Accuracy: 0.1195
-- Epoch: 188
+- Train Loss: 0.8364
+- Train Accuracy: 0.1187
+- Validation Loss: 0.8691
+- Validation Accuracy: 0.1189
+- Epoch: 189
 
 ## Model description
 
@@ -233,6 +233,7 @@ The following hyperparameters were used during training:
 | 0.8396     | 0.1186         | 0.8413          | 0.1188              | 186   |
 | 0.8378     | 0.1186         | 0.8628          | 0.1185              | 187   |
 | 0.8374     | 0.1186         | 0.8374          | 0.1195              | 188   |
+| 0.8364     | 0.1187         | 0.8691          | 0.1189              | 189   |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:130b622927e9984872309689a4fa236a4129c07127180e2aed268a3f9fd8fbcb
 size 499741936