Training in progress epoch 30

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: 2.0789
-- Train Accuracy: 0.0907
-- Validation Loss: 1.8604
-- Validation Accuracy: 0.0958
-- Epoch: 29
+- Train Loss: 1.9204
+- Train Accuracy: 0.0940
+- Validation Loss: 1.7549
+- Validation Accuracy: 0.0982
+- Epoch: 30
 
 ## Model description
 
@@ -74,6 +74,7 @@ The following hyperparameters were used during training:
 | 3.1689     | 0.0693         | 2.4375          | 0.0835              | 27    |
 | 2.3780     | 0.0844         | 2.0498          | 0.0922              | 28    |
 | 2.0789     | 0.0907         | 1.8604          | 0.0958              | 29    |
+| 1.9204     | 0.0940         | 1.7549          | 0.0982              | 30    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:aa1b89860f5bd4cc18f6642fc1ac979b6fa66814421ff8a1c22cce1499804f75
 size 499741936