Training in progress epoch 22

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: 9.4277
-- Train Accuracy: 0.0234
-- Validation Loss: 9.3386
-- Validation Accuracy: 0.0222
-- Epoch: 20
+- Train Loss: 9.2980
+- Train Accuracy: 0.0229
+- Validation Loss: 9.2170
+- Validation Accuracy: 0.0219
+- Epoch: 22
 
 ## Model description
 
@@ -65,6 +65,8 @@ The following hyperparameters were used during training:
 | 9.5757     | 0.0226         | 9.4795          | 0.0219              | 18    |
 | 9.4894     | 0.0232         | 9.3985          | 0.0222              | 19    |
 | 9.4277     | 0.0234         | 9.3386          | 0.0222              | 20    |
+| 9.3676     | 0.0229         | 9.2753          | 0.0220              | 21    |
+| 9.2980     | 0.0229         | 9.2170          | 0.0219              | 22    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:df1468e97d59515b7f0640760a360867684ecef62f8e570b96479911c3aab42a
 size 499741936