Training in progress epoch 56

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: 1.1679
-- Train Accuracy: 0.1105
-- Validation Loss: 1.0884
-- Validation Accuracy: 0.1122
-- Epoch: 55
+- Train Loss: 1.1613
+- Train Accuracy: 0.1106
+- Validation Loss: 1.1084
+- Validation Accuracy: 0.1120
+- Epoch: 56
 
 ## Model description
 
@@ -100,6 +100,7 @@ The following hyperparameters were used during training:
 | 1.1800     | 0.1102         | 1.125           | 0.1116              | 53    |
 | 1.1727     | 0.1104         | 1.1167          | 0.1116              | 54    |
 | 1.1679     | 0.1105         | 1.0884          | 0.1122              | 55    |
+| 1.1613     | 0.1106         | 1.1084          | 0.1120              | 56    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:1a60deae64524c678db13945b5a540abfce8ad9b94f553587270a580929a21bd
+oid sha256:77f035389eb874325af550f90a53c4504925564a02cf91f0f53033bd967406ca
 size 499741936