Training in progress epoch 29

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: 1.4957
-- Train Accuracy: 0.1030
-- Validation Loss: 1.3975
-- Validation Accuracy: 0.1046
-- Epoch: 28
+- Train Loss: 1.4700
+- Train Accuracy: 0.1036
+- Validation Loss: 1.3789
+- Validation Accuracy: 0.1061
+- Epoch: 29
 
 ## Model description
 
@@ -73,6 +73,7 @@ The following hyperparameters were used during training:
 | 1.5545     | 0.1018         | 1.4561          | 0.1031              | 26    |
 | 1.5231     | 0.1024         | 1.4365          | 0.1054              | 27    |
 | 1.4957     | 0.1030         | 1.3975          | 0.1046              | 28    |
+| 1.4700     | 0.1036         | 1.3789          | 0.1061              | 29    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:dd48da18629eb7693e8a9e4c8f949db3c135f76392e1a008bbd1197d8b744246
 size 499741936