Training in progress epoch 26

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: 1.5906
-- Train Accuracy: 0.1010
-- Validation Loss: 1.4766
-- Validation Accuracy: 0.1042
-- Epoch: 25
+- Train Loss: 1.5545
+- Train Accuracy: 0.1018
+- Validation Loss: 1.4561
+- Validation Accuracy: 0.1031
+- Epoch: 26
 
 ## Model description
 
@@ -70,6 +70,7 @@ The following hyperparameters were used during training:
 | 1.6861     | 0.0990         | 1.5693          | 0.1024              | 23    |
 | 1.6327     | 0.1001         | 1.5273          | 0.1035              | 24    |
 | 1.5906     | 0.1010         | 1.4766          | 0.1042              | 25    |
+| 1.5545     | 0.1018         | 1.4561          | 0.1031              | 26    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:c4901957a56da63c4f49a61669063f1a600d42e6604c34ef98da3fb52a820e7e
 size 499741936