Training in progress epoch 64

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: 1.1234
-- Train Accuracy: 0.1115
-- Validation Loss: 1.0625
-- Validation Accuracy: 0.1137
-- Epoch: 63
+- Train Loss: 1.1162
+- Train Accuracy: 0.1117
+- Validation Loss: 1.0781
+- Validation Accuracy: 0.1127
+- Epoch: 64
 
 ## Model description
 
@@ -108,6 +108,7 @@ The following hyperparameters were used during training:
 | 1.1370     | 0.1112         | 1.0830          | 0.1140              | 61    |
 | 1.1309     | 0.1113         | 1.0762          | 0.1119              | 62    |
 | 1.1234     | 0.1115         | 1.0625          | 0.1137              | 63    |
+| 1.1162     | 0.1117         | 1.0781          | 0.1127              | 64    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:7df3ed2c474b4773baba1889bb82e7db283da54ee99012572d4c9093babf5091
 size 499741936