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: 4.6393
+- Train Loss: 4.5898
 - Train Accuracy: 0.0449
-- Validation Loss: 4.6914
-- Validation Accuracy: 0.0441
-- Epoch: 24
+- Validation Loss: 4.4688
+- Validation Accuracy: 0.0452
+- Epoch: 25
 
 ## Model description
 
@@ -69,6 +69,7 @@ The following hyperparameters were used during training:
 | 4.6570     | 0.0449         | 4.7031          | 0.0437              | 22    |
 | 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    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:28700fdcec61f53bb70eb4497346934f3972eb100674cbf3f09f5d268c07595f
+oid sha256:29089d35e38d32ace604dae9e650ccf308854c2d7d1d3122cb0276b9b5c753e3
 size 499741936