Training in progress epoch 25

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: 1.6327
-- Train Accuracy: 0.1001
-- Validation Loss: 1.5273
-- Validation Accuracy: 0.1035
-- Epoch: 24
+- Train Loss: 1.5906
+- Train Accuracy: 0.1010
+- Validation Loss: 1.4766
+- Validation Accuracy: 0.1042
+- Epoch: 25
 
 ## Model description
 
@@ -69,6 +69,7 @@ The following hyperparameters were used during training:
 | 1.7402     | 0.0979         | 1.6191          | 0.1010              | 22    |
 | 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    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:024a49bea363294bf1599d9023582127bfc8958d21e06c229dae64400d31a31f
 size 499741936