Training in progress epoch 171

README.md

@@ -15,10 +15,10 @@ 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: 0.8541
-- Train Accuracy: 0.1182
-- Validation Loss: 0.8652
-- Validation Accuracy: 0.1187
-- Epoch: 170
+- Train Accuracy: 0.1183
+- Validation Loss: 0.8477
+- Validation Accuracy: 0.1198
+- Epoch: 171
 
 ## Model description
 
@@ -215,6 +215,7 @@ The following hyperparameters were used during training:
 | 0.8573     | 0.1181         | 0.8691          | 0.1181              | 168   |
 | 0.8558     | 0.1182         | 0.8481          | 0.1176              | 169   |
 | 0.8541     | 0.1182         | 0.8652          | 0.1187              | 170   |
+| 0.8541     | 0.1183         | 0.8477          | 0.1198              | 171   |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:5a0a4bb3a33c333888f4b465cb0359ba48af4f7c8fb5669fb8ac50a8fd730e03
+oid sha256:7a90fd8aa25849a86ce52cc7b9b3b6d5b1bbc2ef97fa0c337e01a8e5f78f1965
 size 499741936