Training in progress epoch 27

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: 4.3024
-- Train Accuracy: 0.0472
-- Validation Loss: 3.8730
-- Validation Accuracy: 0.0551
-- Epoch: 26
+- Train Loss: 3.1689
+- Train Accuracy: 0.0693
+- Validation Loss: 2.4375
+- Validation Accuracy: 0.0835
+- Epoch: 27
 
 ## Model description
 
@@ -71,6 +71,7 @@ The following hyperparameters were used during training:
 | 4.6393     | 0.0449         | 4.6914          | 0.0441              | 24    |
 | 4.5898     | 0.0449         | 4.4688          | 0.0452              | 25    |
 | 4.3024     | 0.0472         | 3.8730          | 0.0551              | 26    |
+| 3.1689     | 0.0693         | 2.4375          | 0.0835              | 27    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:8efbebf74701d57ba0132c9a86386824e0404d2c6c8782c84b14649ce09c567b
 size 499741936