Training in progress epoch 39

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: 8.6392
-- Train Accuracy: 0.0225
-- Validation Loss: 8.5603
-- Validation Accuracy: 0.0225
-- Epoch: 38
+- Train Loss: 8.5802
+- Train Accuracy: 0.0233
+- Validation Loss: 8.5722
+- Validation Accuracy: 0.0219
+- Epoch: 39
 
 ## Model description
 
@@ -83,6 +83,7 @@ The following hyperparameters were used during training:
 | 8.6816     | 0.0229         | 8.6243          | 0.0223              | 36    |
 | 8.6356     | 0.0228         | 8.6323          | 0.0217              | 37    |
 | 8.6392     | 0.0225         | 8.5603          | 0.0225              | 38    |
+| 8.5802     | 0.0233         | 8.5722          | 0.0219              | 39    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:d4b658068b3e69dae19a8b014d52fa5518c249f48b35549ff7846e0cac462662
+oid sha256:4213d8e18dea43c08acfcb865f4de20dfcef447353cf8e71793ecb311289f520
 size 499741936