Training in progress epoch 90

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: 1.0017
-- Train Accuracy: 0.1145
-- Validation Loss: 0.9575
-- Validation Accuracy: 0.1151
-- Epoch: 89
+- Train Loss: 0.9973
+- Train Accuracy: 0.1146
+- Validation Loss: 0.9624
+- Validation Accuracy: 0.1149
+- Epoch: 90
 
 ## Model description
 
@@ -134,6 +134,7 @@ The following hyperparameters were used during training:
 | 1.0083     | 0.1144         | 0.9722          | 0.1162              | 87    |
 | 1.0039     | 0.1144         | 0.9619          | 0.1167              | 88    |
 | 1.0017     | 0.1145         | 0.9575          | 0.1151              | 89    |
+| 0.9973     | 0.1146         | 0.9624          | 0.1149              | 90    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:84794667c0d6f0e9faccce93c27bfd9d816d8ceab05c9c92ea5a8764638b37d2
+oid sha256:8150a79be182b416e58046ade4868ae3672665c2d7e3a9a28595da9b83d9159d
 size 499741936