Training in progress epoch 36

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: 1.3550
-- Train Accuracy: 0.1062
-- Validation Loss: 1.2705
+- Train Loss: 1.3398
+- Train Accuracy: 0.1065
+- Validation Loss: 1.2578
 - Validation Accuracy: 0.1082
-- Epoch: 35
+- Epoch: 36
 
 ## Model description
 
@@ -80,6 +80,7 @@ The following hyperparameters were used during training:
 | 1.3873     | 0.1054         | 1.3164          | 0.1072              | 33    |
 | 1.3703     | 0.1058         | 1.2861          | 0.1072              | 34    |
 | 1.3550     | 0.1062         | 1.2705          | 0.1082              | 35    |
+| 1.3398     | 0.1065         | 1.2578          | 0.1082              | 36    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:8b301ab778c7c70e9b880da049b696ded6ee4f2e29022d9799f0f341da1d4f9c
+oid sha256:7e11b547cd346582919ba9ffde8b050d84e7b6d286d320b1f0542f88222c4f75
 size 499741936