Training in progress epoch 22

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: 1.8058
-- Train Accuracy: 0.0965
-- Validation Loss: 1.6729
-- Validation Accuracy: 0.0996
-- Epoch: 21
+- Train Loss: 1.7402
+- Train Accuracy: 0.0979
+- Validation Loss: 1.6191
+- Validation Accuracy: 0.1010
+- Epoch: 22
 
 ## Model description
 
@@ -66,6 +66,7 @@ The following hyperparameters were used during training:
 | 2.0043     | 0.0925         | 1.8154          | 0.0961              | 19    |
 | 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    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:d86dc89405e58f0f74975d72a42a3f062f9c35cf9b6c5d997eeceeff190c5440
 size 499741936