Training in progress epoch 406

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: 0.7266
-- Train Accuracy: 0.1215
-- Validation Loss: 0.7891
-- Validation Accuracy: 0.1208
-- Epoch: 405
+- Train Loss: 0.7276
+- Train Accuracy: 0.1216
+- Validation Loss: 0.7808
+- Validation Accuracy: 0.1209
+- Epoch: 406
 
 ## Model description
 
@@ -450,6 +450,7 @@ The following hyperparameters were used during training:
 | 0.7280     | 0.1215         | 0.7896          | 0.1221              | 403   |
 | 0.7282     | 0.1215         | 0.7935          | 0.1199              | 404   |
 | 0.7266     | 0.1215         | 0.7891          | 0.1208              | 405   |
+| 0.7276     | 0.1216         | 0.7808          | 0.1209              | 406   |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:3635166a174b2618ce50d51b79854f4ea1ffec8bc6b59d451bb5f2a7f22c396f
 size 499741936