Training in progress epoch 72

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: 1.0758
-- Train Accuracy: 0.1127
-- Validation Loss: 1.0269
-- Validation Accuracy: 0.1143
-- Epoch: 71
+- Train Loss: 1.0704
+- Train Accuracy: 0.1129
+- Validation Loss: 1.0356
+- Validation Accuracy: 0.1141
+- Epoch: 72
 
 ## Model description
 
@@ -116,6 +116,7 @@ The following hyperparameters were used during training:
 | 1.0860     | 0.1124         | 1.0264          | 0.1137              | 69    |
 | 1.0807     | 0.1126         | 1.0215          | 0.1148              | 70    |
 | 1.0758     | 0.1127         | 1.0269          | 0.1143              | 71    |
+| 1.0704     | 0.1129         | 1.0356          | 0.1141              | 72    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:b6dc0ac406c6c6985726efabed43adabcefc6e2b703df366a60cde623f1847cf
+oid sha256:21a0d8ad45091633e5eed6e37c94221fda85b979135038132e2bf37a31e393cc
 size 499741936