Training in progress epoch 50

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: 1.2537
-- Train Accuracy: 0.1084
-- Validation Loss: 1.1680
-- Validation Accuracy: 0.1106
-- Epoch: 49
+- Train Loss: 1.2411
+- Train Accuracy: 0.1087
+- Validation Loss: 1.1904
+- Validation Accuracy: 0.1094
+- Epoch: 50
 
 ## Model description
 
@@ -94,6 +94,7 @@ The following hyperparameters were used during training:
 | 1.2816     | 0.1078         | 1.2168          | 0.1093              | 47    |
 | 1.2672     | 0.1081         | 1.2070          | 0.1090              | 48    |
 | 1.2537     | 0.1084         | 1.1680          | 0.1106              | 49    |
+| 1.2411     | 0.1087         | 1.1904          | 0.1094              | 50    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:26d29b0590c1b98d9622722d36fc6da7d46ea97d96764439c5b2243e4e17f8fd
 size 499741936