Training in progress epoch 91

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: 1.0522
-- Train Accuracy: 0.1133
-- Validation Loss: 0.9951
-- Validation Accuracy: 0.1134
-- Epoch: 90
+- Train Loss: 1.0505
+- Train Accuracy: 0.1134
+- Validation Loss: 1.0283
+- Validation Accuracy: 0.1136
+- Epoch: 91
 
 ## Model description
 
@@ -135,6 +135,7 @@ The following hyperparameters were used during training:
 | 1.0547     | 0.1132         | 1.0210          | 0.1144              | 88    |
 | 1.0536     | 0.1133         | 1.0176          | 0.1143              | 89    |
 | 1.0522     | 0.1133         | 0.9951          | 0.1134              | 90    |
+| 1.0505     | 0.1134         | 1.0283          | 0.1136              | 91    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:92e32aebade573e8b52f9d540677737ecd22b1fe95a225c2b88a942933fd2302
+oid sha256:b8332543afe7207940a3301902ce1fe6d8e91b4379d97dec8b42b8e64961312c
 size 499741936