Training in progress epoch 24

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: 1.6861
-- Train Accuracy: 0.0990
-- Validation Loss: 1.5693
-- Validation Accuracy: 0.1024
-- Epoch: 23
+- Train Loss: 1.6327
+- Train Accuracy: 0.1001
+- Validation Loss: 1.5273
+- Validation Accuracy: 0.1035
+- Epoch: 24
 
 ## Model description
 
@@ -68,6 +68,7 @@ The following hyperparameters were used during training:
 | 1.8058     | 0.0965         | 1.6729          | 0.0996              | 21    |
 | 1.7402     | 0.0979         | 1.6191          | 0.1010              | 22    |
 | 1.6861     | 0.0990         | 1.5693          | 0.1024              | 23    |
+| 1.6327     | 0.1001         | 1.5273          | 0.1035              | 24    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:9d9659113bf9523cb9fd73b3b7d6b8f0fea32d60e15d7238dab4c20371e6f615
 size 499741936