Training in progress epoch 48

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: 1.2215
-- Train Accuracy: 0.1092
-- Validation Loss: 1.1533
-- Validation Accuracy: 0.1112
-- Epoch: 47
+- Train Loss: 1.2140
+- Train Accuracy: 0.1094
+- Validation Loss: 1.1514
+- Validation Accuracy: 0.1117
+- Epoch: 48
 
 ## Model description
 
@@ -92,6 +92,7 @@ The following hyperparameters were used during training:
 | 1.2390     | 0.1088         | 1.1777          | 0.1101              | 45    |
 | 1.2305     | 0.1090         | 1.1738          | 0.1111              | 46    |
 | 1.2215     | 0.1092         | 1.1533          | 0.1112              | 47    |
+| 1.2140     | 0.1094         | 1.1514          | 0.1117              | 48    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:495d6e946ecb9703a36aa42e48ab01f529ec68af5d5bf1c3d00d827e691227ce
+oid sha256:40ea373124100674ba67c41e2656968f351e788fbd2d19aab75928949b9c9de2
 size 499741936