Training in progress epoch 69

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: 1.1069
-- Train Accuracy: 0.1119
-- Validation Loss: 1.0718
-- Validation Accuracy: 0.1124
-- Epoch: 68
+- Train Loss: 1.1038
+- Train Accuracy: 0.1120
+- Validation Loss: 1.0376
+- Validation Accuracy: 0.1135
+- Epoch: 69
 
 ## Model description
 
@@ -113,6 +113,7 @@ The following hyperparameters were used during training:
 | 1.1144     | 0.1118         | 1.0522          | 0.1139              | 66    |
 | 1.1111     | 0.1119         | 1.0557          | 0.1132              | 67    |
 | 1.1069     | 0.1119         | 1.0718          | 0.1124              | 68    |
+| 1.1038     | 0.1120         | 1.0376          | 0.1135              | 69    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:427ab3c89c3a24d6151d27bd8e2fda82f6e204aa9cb4542026b94bf023f1b7cc
 size 499741936