Training in progress epoch 29

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: 5.0467
-- Train Accuracy: 0.0446
-- Validation Loss: 5.0542
-- Validation Accuracy: 0.0444
-- Epoch: 27
+- Train Loss: 5.0588
+- Train Accuracy: 0.0445
+- Validation Loss: 5.0495
+- Validation Accuracy: 0.0449
+- Epoch: 29
 
 ## Model description
 
@@ -72,6 +72,8 @@ The following hyperparameters were used during training:
 | 5.0708     | 0.0446         | 5.0587          | 0.0440              | 25    |
 | 5.0745     | 0.0441         | 5.0809          | 0.0440              | 26    |
 | 5.0467     | 0.0446         | 5.0542          | 0.0444              | 27    |
+| 5.0190     | 0.0449         | 5.0191          | 0.0453              | 28    |
+| 5.0588     | 0.0445         | 5.0495          | 0.0449              | 29    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:2e94fe4b672aba14151f8bfbc800fb337f0b5d4f9ed30c3084f2fd0e5a006896
+oid sha256:8f4451ccabad688af644739ff25e957a5efcd1d3e5ef06b752dcb4ea4f9d1c7b
 size 499741936