Training in progress epoch 62

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: 1.1360
-- Train Accuracy: 0.1112
-- Validation Loss: 1.0742
-- Validation Accuracy: 0.1145
-- Epoch: 61
+- Train Loss: 1.1318
+- Train Accuracy: 0.1114
+- Validation Loss: 1.0811
+- Validation Accuracy: 0.1131
+- Epoch: 62
 
 ## Model description
 
@@ -106,6 +106,7 @@ The following hyperparameters were used during training:
 | 1.1454     | 0.1111         | 1.0718          | 0.1128              | 59    |
 | 1.1403     | 0.1111         | 1.0874          | 0.1123              | 60    |
 | 1.1360     | 0.1112         | 1.0742          | 0.1145              | 61    |
+| 1.1318     | 0.1114         | 1.0811          | 0.1131              | 62    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:604209b7e17e83c8b8602d8b05c7dfb5712e71b5eafa93eb02ad314a0b3e73f1
+oid sha256:98254f3b6c6d5dec26f5c1c8dc400ea992f0b26c5e850fece9f46c7d6b20bc2e
 size 499741936