Training in progress epoch 12

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: 8.1956
-- Train Accuracy: 0.0231
-- Validation Loss: 8.1208
-- Validation Accuracy: 0.0222
-- Epoch: 11
+- Train Loss: 8.1285
+- Train Accuracy: 0.0229
+- Validation Loss: 8.0806
+- Validation Accuracy: 0.0219
+- Epoch: 12
 
 ## Model description
 
@@ -57,6 +57,7 @@ The following hyperparameters were used during training:
 | 8.3594     | 0.0230         | 8.3069          | 0.0221              | 9     |
 | 8.2662     | 0.0231         | 8.2092          | 0.0224              | 10    |
 | 8.1956     | 0.0231         | 8.1208          | 0.0222              | 11    |
+| 8.1285     | 0.0229         | 8.0806          | 0.0219              | 12    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:b530a7a04e2ccf35698a1382dbe7422cc4ef5f7771dc7329bc091d15cf660c8e
+oid sha256:24b5eb47391a68b919c9ad1d788c44abf2beb0177892f310055f4eee8ae94261
 size 499741936