Training in progress epoch 227

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: 0.8081
-- Train Accuracy: 0.1194
-- Validation Loss: 0.8413
-- Validation Accuracy: 0.1198
-- Epoch: 226
+- Train Loss: 0.8065
+- Train Accuracy: 0.1195
+- Validation Loss: 0.8379
+- Validation Accuracy: 0.1202
+- Epoch: 227
 
 ## Model description
 
@@ -271,6 +271,7 @@ The following hyperparameters were used during training:
 | 0.8089     | 0.1194         | 0.8101          | 0.1195              | 224   |
 | 0.8081     | 0.1194         | 0.8311          | 0.1184              | 225   |
 | 0.8081     | 0.1194         | 0.8413          | 0.1198              | 226   |
+| 0.8065     | 0.1195         | 0.8379          | 0.1202              | 227   |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:8b84e2846951e9c6d742d76255f403e8e119599b9cb829225f331ed6fd156df3
+oid sha256:aebf069d7a088cdde81c8f9ed13cd73a160658ea1a463a3064da8e7cd65fc9ef
 size 499741936