Training in progress epoch 469

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: 0.7118
-- Train Accuracy: 0.1219
-- Validation Loss: 0.8052
-- Validation Accuracy: 0.1217
-- Epoch: 468
+- Train Loss: 0.7114
+- Train Accuracy: 0.1220
+- Validation Loss: 0.7847
+- Validation Accuracy: 0.1208
+- Epoch: 469
 
 ## Model description
 
@@ -513,6 +513,7 @@ The following hyperparameters were used during training:
 | 0.7127     | 0.1219         | 0.8013          | 0.1207              | 466   |
 | 0.7129     | 0.1219         | 0.7812          | 0.1214              | 467   |
 | 0.7118     | 0.1219         | 0.8052          | 0.1217              | 468   |
+| 0.7114     | 0.1220         | 0.7847          | 0.1208              | 469   |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:f076faad492af478d6c917986ea5890f0e2c33f6728a35787d835bdde06696fd
 size 499741936