Training in progress epoch 228

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: 0.8065
-- Train Accuracy: 0.1195
-- Validation Loss: 0.8379
-- Validation Accuracy: 0.1202
-- Epoch: 227
+- Train Loss: 0.8064
+- Train Accuracy: 0.1194
+- Validation Loss: 0.8398
+- Validation Accuracy: 0.1196
+- Epoch: 228
 
 ## Model description
 
@@ -272,6 +272,7 @@ The following hyperparameters were used during training:
 | 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   |
+| 0.8064     | 0.1194         | 0.8398          | 0.1196              | 228   |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:7c4e91932f4e9b765d9bd2e66199b82e8bd200bb2ece0c263a851da2d188c089
 size 499741936