Training in progress epoch 321

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: 0.7579
-- Train Accuracy: 0.1208
-- Validation Loss: 0.8174
-- Validation Accuracy: 0.1202
-- Epoch: 320
+- Train Loss: 0.7572
+- Train Accuracy: 0.1207
+- Validation Loss: 0.8232
+- Validation Accuracy: 0.1196
+- Epoch: 321
 
 ## Model description
 
@@ -365,6 +365,7 @@ The following hyperparameters were used during training:
 | 0.7678     | 0.1205         | 0.8008          | 0.1205              | 318   |
 | 0.7598     | 0.1207         | 0.8091          | 0.1216              | 319   |
 | 0.7579     | 0.1208         | 0.8174          | 0.1202              | 320   |
+| 0.7572     | 0.1207         | 0.8232          | 0.1196              | 321   |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:39258c759640b025fbec42b53bd3320d4d8346b2900fe455bbe2d1c0cb56fbcf
 size 499741936