Training in progress epoch 45

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: 8.5124
-- Train Accuracy: 0.0230
-- Validation Loss: 8.4787
-- Validation Accuracy: 0.0222
-- Epoch: 43
+- Train Loss: 8.4561
+- Train Accuracy: 0.0235
+- Validation Loss: 8.4453
+- Validation Accuracy: 0.0221
+- Epoch: 45
 
 ## Model description
 
@@ -88,6 +88,8 @@ The following hyperparameters were used during training:
 | 8.5625     | 0.0228         | 8.5272          | 0.0220              | 41    |
 | 8.5415     | 0.0228         | 8.5200          | 0.0222              | 42    |
 | 8.5124     | 0.0230         | 8.4787          | 0.0222              | 43    |
+| 8.4999     | 0.0229         | 8.4819          | 0.0218              | 44    |
+| 8.4561     | 0.0235         | 8.4453          | 0.0221              | 45    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:e4d11ec1639ff3bc418f17421bc77551d05481d33cd9a1c3d76dfd66e6b04395
+oid sha256:f664cf307e23278fbda2130ed2385bba403e04e52d23670138dd9e67a6e4dd17
 size 499741936