Training in progress epoch 18

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: 2.5336
-- Train Accuracy: 0.0817
-- Validation Loss: 2.1816
-- Validation Accuracy: 0.0888
-- Epoch: 17
+- Train Loss: 2.1859
+- Train Accuracy: 0.0888
+- Validation Loss: 1.9648
+- Validation Accuracy: 0.0930
+- Epoch: 18
 
 ## Model description
 
@@ -62,6 +62,7 @@ The following hyperparameters were used during training:
 | 4.3462     | 0.0468         | 4.0742          | 0.0515              | 15    |
 | 3.4139     | 0.0650         | 2.6348          | 0.0797              | 16    |
 | 2.5336     | 0.0817         | 2.1816          | 0.0888              | 17    |
+| 2.1859     | 0.0888         | 1.9648          | 0.0930              | 18    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:c7d0855f033f00862ded244b8a34fd33906a37944aa47088bfdecdf6d55ee766
 size 499741936