Training in progress epoch 4

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: 9.5331
-- Train Accuracy: 0.0230
-- Validation Loss: 9.2992
-- Validation Accuracy: 0.0223
-- Epoch: 3
+- Train Loss: 9.2000
+- Train Accuracy: 0.0231
+- Validation Loss: 8.9944
+- Validation Accuracy: 0.0222
+- Epoch: 4
 
 ## Model description
 
@@ -49,6 +49,7 @@ The following hyperparameters were used during training:
 | 10.1151    | 0.0001         | 9.9763          | 0.0016              | 1     |
 | 9.8665     | 0.0107         | 9.6535          | 0.0215              | 2     |
 | 9.5331     | 0.0230         | 9.2992          | 0.0223              | 3     |
+| 9.2000     | 0.0231         | 8.9944          | 0.0222              | 4     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:0fdb2cfabcbd8bc286536a85b986be6323fc28b3e720a317e90e2a44997d0908
 size 499741936