Training in progress epoch 48

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: 8.4367
-- Train Accuracy: 0.0229
-- Validation Loss: 8.4212
-- Validation Accuracy: 0.0222
-- Epoch: 47
+- Train Loss: 8.4096
+- Train Accuracy: 0.0232
+- Validation Loss: 8.4033
+- Validation Accuracy: 0.0221
+- Epoch: 48
 
 ## Model description
 
@@ -92,6 +92,7 @@ The following hyperparameters were used during training:
 | 8.4561     | 0.0235         | 8.4453          | 0.0221              | 45    |
 | 8.4854     | 0.0223         | 8.4378          | 0.0220              | 46    |
 | 8.4367     | 0.0229         | 8.4212          | 0.0222              | 47    |
+| 8.4096     | 0.0232         | 8.4033          | 0.0221              | 48    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:4a597c14114f2cf13069b73278c1bdafb0e6e0966e234f59139f1e92d3762957
+oid sha256:51b12d9cf5edaf93cf7beac8eb37c427bfa000d803abd084bc6878de1ddeeafa
 size 499741936