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: 1.0975
-- Train Accuracy: 0.1121
-- Validation Loss: 1.0503
-- Validation Accuracy: 0.1134
-- Epoch: 71
+- Train Loss: 1.0941
+- Train Accuracy: 0.1122
+- Validation Loss: 1.0317
+- Validation Accuracy: 0.1140
+- Epoch: 72
 
 ## Model description
 
@@ -116,6 +116,7 @@ The following hyperparameters were used during training:
 | 1.1038     | 0.1120         | 1.0376          | 0.1135              | 69    |
 | 1.1007     | 0.1121         | 1.0537          | 0.1138              | 70    |
 | 1.0975     | 0.1121         | 1.0503          | 0.1134              | 71    |
+| 1.0941     | 0.1122         | 1.0317          | 0.1140              | 72    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:ba8fe9f63b7f1001b38812708faefcb8a06cab9b676dcc0b5d91f12d1a204258
 size 499741936