Training in progress epoch 41

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: 8.5802
-- Train Accuracy: 0.0233
-- Validation Loss: 8.5722
-- Validation Accuracy: 0.0219
-- Epoch: 39
+- Train Loss: 8.5625
+- Train Accuracy: 0.0228
+- Validation Loss: 8.5272
+- Validation Accuracy: 0.0220
+- Epoch: 41
 
 ## Model description
 
@@ -84,6 +84,8 @@ The following hyperparameters were used during training:
 | 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    |
+| 8.5825     | 0.0228         | 8.5548          | 0.0220              | 40    |
+| 8.5625     | 0.0228         | 8.5272          | 0.0220              | 41    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:4213d8e18dea43c08acfcb865f4de20dfcef447353cf8e71793ecb311289f520
+oid sha256:c1445c65bc97d4b0ef12b3ac53f3455344a805f154d04cb5537e62ebdab4ee1e
 size 499741936