Training in progress epoch 18

README.md

@@ -15,11 +15,11 @@ 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: 7.7673
-- Train Accuracy: 0.0232
-- Validation Loss: 7.6903
-- Validation Accuracy: 0.0229
-- Epoch: 17
+- Train Loss: 7.6868
+- Train Accuracy: 0.0242
+- Validation Loss: 7.6129
+- Validation Accuracy: 0.0243
+- Epoch: 18
 
 ## Model description
 
@@ -63,6 +63,7 @@ The following hyperparameters were used during training:
 | 7.9065     | 0.0231         | 7.8661          | 0.0221              | 15    |
 | 7.8449     | 0.0229         | 7.7873          | 0.0219              | 16    |
 | 7.7673     | 0.0232         | 7.6903          | 0.0229              | 17    |
+| 7.6868     | 0.0242         | 7.6129          | 0.0243              | 18    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:23f01cda1fc4fa61f55ac8d04b1e1a3842a69f0491da53a2f9d710fa35a54048
+oid sha256:4bb8fdf5d02e6fd2cd86896c506f0a0823dd4f09db3a0a48162621480c4420d2
 size 499741936