Training in progress epoch 42

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: 1.3867
-- Train Accuracy: 0.1054
-- Validation Loss: 1.3018
-- Validation Accuracy: 0.1071
-- Epoch: 41
+- Train Loss: 1.3658
+- Train Accuracy: 0.1058
+- Validation Loss: 1.2832
+- Validation Accuracy: 0.1083
+- Epoch: 42
 
 ## Model description
 
@@ -86,6 +86,7 @@ The following hyperparameters were used during training:
 | 1.4363     | 0.1043         | 1.3467          | 0.1060              | 39    |
 | 1.4098     | 0.1049         | 1.3213          | 0.1076              | 40    |
 | 1.3867     | 0.1054         | 1.3018          | 0.1071              | 41    |
+| 1.3658     | 0.1058         | 1.2832          | 0.1083              | 42    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:a6b6916a004fe57437dc97243bafb606c1da7346969a392a5332e15aaf557e96
+oid sha256:1bd8ec10e83ea569525d96ce361443300fb6fed3edd2041f804ec07f83077fbc
 size 499741936