Training in progress epoch 26

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: 4.5898
-- Train Accuracy: 0.0449
-- Validation Loss: 4.4688
-- Validation Accuracy: 0.0452
-- Epoch: 25
+- Train Loss: 4.3024
+- Train Accuracy: 0.0472
+- Validation Loss: 3.8730
+- Validation Accuracy: 0.0551
+- Epoch: 26
 
 ## Model description
 
@@ -70,6 +70,7 @@ The following hyperparameters were used during training:
 | 4.6486     | 0.0450         | 4.6758          | 0.0446              | 23    |
 | 4.6393     | 0.0449         | 4.6914          | 0.0441              | 24    |
 | 4.5898     | 0.0449         | 4.4688          | 0.0452              | 25    |
+| 4.3024     | 0.0472         | 3.8730          | 0.0551              | 26    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:3aa30c3f81b4d21e96423586e2c864e86cf288d4028c01275c4ba774e00ca85b
 size 499741936