Training in progress epoch 25

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: 5.0514
-- Train Accuracy: 0.0449
-- Validation Loss: 5.0835
-- Validation Accuracy: 0.0442
-- Epoch: 23
+- Train Loss: 5.0708
+- Train Accuracy: 0.0446
+- Validation Loss: 5.0587
+- Validation Accuracy: 0.0440
+- Epoch: 25
 
 ## Model description
 
@@ -68,6 +68,8 @@ The following hyperparameters were used during training:
 | 5.0815     | 0.0446         | 5.0959          | 0.0441              | 21    |
 | 5.0518     | 0.0450         | 5.0441          | 0.0453              | 22    |
 | 5.0514     | 0.0449         | 5.0835          | 0.0442              | 23    |
+| 5.0400     | 0.0449         | 5.0802          | 0.0444              | 24    |
+| 5.0708     | 0.0446         | 5.0587          | 0.0440              | 25    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:ae298b35d281104eb30603aef229edc87585beef9a1405cd0c98a81825c5230a
 size 499741936