Training in progress epoch 56

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: 8.3551
-- Train Accuracy: 0.0231
-- Validation Loss: 8.3382
-- Validation Accuracy: 0.0221
-- Epoch: 54
+- Train Loss: 8.3139
+- Train Accuracy: 0.0226
+- Validation Loss: 8.2844
+- Validation Accuracy: 0.0222
+- Epoch: 56
 
 ## Model description
 
@@ -99,6 +99,8 @@ The following hyperparameters were used during training:
 | 8.3428     | 0.0235         | 8.3540          | 0.0221              | 52    |
 | 8.3491     | 0.0231         | 8.3201          | 0.0225              | 53    |
 | 8.3551     | 0.0231         | 8.3382          | 0.0221              | 54    |
+| 8.3186     | 0.0231         | 8.3136          | 0.0219              | 55    |
+| 8.3139     | 0.0226         | 8.2844          | 0.0222              | 56    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:5a80b9e1511e87fd0a26ba5776e4f1cefa7fced130e366795d35bdff0e446814
+oid sha256:ada63b9be6a76c99d3440d57276f4252eb785805788988fee580e0eccaf62203
 size 499741936