Training in progress epoch 23

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: 1.7402
-- Train Accuracy: 0.0979
-- Validation Loss: 1.6191
-- Validation Accuracy: 0.1010
-- Epoch: 22
+- Train Loss: 1.6861
+- Train Accuracy: 0.0990
+- Validation Loss: 1.5693
+- Validation Accuracy: 0.1024
+- Epoch: 23
 
 ## Model description
 
@@ -67,6 +67,7 @@ The following hyperparameters were used during training:
 | 1.8887     | 0.0948         | 1.7129          | 0.0993              | 20    |
 | 1.8058     | 0.0965         | 1.6729          | 0.0996              | 21    |
 | 1.7402     | 0.0979         | 1.6191          | 0.1010              | 22    |
+| 1.6861     | 0.0990         | 1.5693          | 0.1024              | 23    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:433ea1079f52fb01b038ec6bc49e9fce1a11ad099e704f9c957bfcace1aa95a3
 size 499741936