Training in progress epoch 71

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: 1.1007
+- Train Loss: 1.0975
 - Train Accuracy: 0.1121
-- Validation Loss: 1.0537
-- Validation Accuracy: 0.1138
-- Epoch: 70
+- Validation Loss: 1.0503
+- Validation Accuracy: 0.1134
+- Epoch: 71
 
 ## Model description
 
@@ -115,6 +115,7 @@ The following hyperparameters were used during training:
 | 1.1069     | 0.1119         | 1.0718          | 0.1124              | 68    |
 | 1.1038     | 0.1120         | 1.0376          | 0.1135              | 69    |
 | 1.1007     | 0.1121         | 1.0537          | 0.1138              | 70    |
+| 1.0975     | 0.1121         | 1.0503          | 0.1134              | 71    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:0161f445987f1211dba93994badee5bc4153729e16bdaaa8a807f98255616c41
+oid sha256:c3363db3482de0014286dbdab995c06536e457d4b7d812357fc03c308b094676
 size 499741936