Training in progress epoch 6

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: 8.9195
-- Train Accuracy: 0.0229
-- Validation Loss: 8.7450
-- Validation Accuracy: 0.0224
-- Epoch: 5
+- Train Loss: 8.6997
+- Train Accuracy: 0.0231
+- Validation Loss: 8.6124
+- Validation Accuracy: 0.0219
+- Epoch: 6
 
 ## Model description
 
@@ -51,6 +51,7 @@ The following hyperparameters were used during training:
 | 9.5331     | 0.0230         | 9.2992          | 0.0223              | 3     |
 | 9.2000     | 0.0231         | 8.9944          | 0.0222              | 4     |
 | 8.9195     | 0.0229         | 8.7450          | 0.0224              | 5     |
+| 8.6997     | 0.0231         | 8.6124          | 0.0219              | 6     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:26c7961201bacd07a43d029244f81546be91a4a6b633832e30424b7cf5a83f0d
 size 499741936