Training in progress epoch 105

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: 0.9589
-- Train Accuracy: 0.1156
-- Validation Loss: 0.9395
-- Validation Accuracy: 0.1176
-- Epoch: 104
+- Train Loss: 0.9561
+- Train Accuracy: 0.1157
+- Validation Loss: 0.9346
+- Validation Accuracy: 0.1173
+- Epoch: 105
 
 ## Model description
 
@@ -149,6 +149,7 @@ The following hyperparameters were used during training:
 | 0.9636     | 0.1155         | 0.9507          | 0.1161              | 102   |
 | 0.9609     | 0.1155         | 0.9727          | 0.1164              | 103   |
 | 0.9589     | 0.1156         | 0.9395          | 0.1176              | 104   |
+| 0.9561     | 0.1157         | 0.9346          | 0.1173              | 105   |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:3187c548d324b26c940d5975342036bbc73618aef9a219f785b111a34b5f975d
 size 499741936