Training in progress epoch 66

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: 1.1186
-- Train Accuracy: 0.1117
-- Validation Loss: 1.0840
-- Validation Accuracy: 0.1117
-- Epoch: 65
+- Train Loss: 1.1144
+- Train Accuracy: 0.1118
+- Validation Loss: 1.0522
+- Validation Accuracy: 0.1139
+- Epoch: 66
 
 ## Model description
 
@@ -110,6 +110,7 @@ The following hyperparameters were used during training:
 | 1.1277     | 0.1114         | 1.0723          | 0.1129              | 63    |
 | 1.1226     | 0.1116         | 1.0640          | 0.1124              | 64    |
 | 1.1186     | 0.1117         | 1.0840          | 0.1117              | 65    |
+| 1.1144     | 0.1118         | 1.0522          | 0.1139              | 66    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:f49f49da268de57248395647cd13d224402ef63a2bde519abed9a680d9915d9c
 size 499741936