Training in progress epoch 8

README.md

@@ -15,11 +15,11 @@ 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: 8.5689
-- Train Accuracy: 0.0229
-- Validation Loss: 8.4904
-- Validation Accuracy: 0.0222
-- Epoch: 7
+- Train Loss: 8.4525
+- Train Accuracy: 0.0230
+- Validation Loss: 8.3865
+- Validation Accuracy: 0.0223
+- Epoch: 8
 
 ## Model description
 
@@ -53,6 +53,7 @@ The following hyperparameters were used during training:
 | 8.9195     | 0.0229         | 8.7450          | 0.0224              | 5     |
 | 8.6997     | 0.0231         | 8.6124          | 0.0219              | 6     |
 | 8.5689     | 0.0229         | 8.4904          | 0.0222              | 7     |
+| 8.4525     | 0.0230         | 8.3865          | 0.0223              | 8     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:ea3c7e0368cc0995084610bfbe542162582960b996b1683078652f84ea69f641
 size 499741936