Training in progress epoch 60

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: 1.1530
-- Train Accuracy: 0.1108
-- Validation Loss: 1.1172
-- Validation Accuracy: 0.1118
-- Epoch: 59
+- Train Loss: 1.1462
+- Train Accuracy: 0.1110
+- Validation Loss: 1.0703
+- Validation Accuracy: 0.1126
+- Epoch: 60
 
 ## Model description
 
@@ -104,6 +104,7 @@ The following hyperparameters were used during training:
 | 1.1698     | 0.1104         | 1.1211          | 0.1117              | 57    |
 | 1.1596     | 0.1106         | 1.0977          | 0.1125              | 58    |
 | 1.1530     | 0.1108         | 1.1172          | 0.1118              | 59    |
+| 1.1462     | 0.1110         | 1.0703          | 0.1126              | 60    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:7f3d7ab55f7bd299cb2747a092de07af4905274d69fa9bb8671361238ac09f43
 size 499741936