Training in progress epoch 70

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: 1.0860
-- Train Accuracy: 0.1124
-- Validation Loss: 1.0264
-- Validation Accuracy: 0.1137
-- Epoch: 69
+- Train Loss: 1.0807
+- Train Accuracy: 0.1126
+- Validation Loss: 1.0215
+- Validation Accuracy: 0.1148
+- Epoch: 70
 
 ## Model description
 
@@ -114,6 +114,7 @@ The following hyperparameters were used during training:
 | 1.0984     | 0.1121         | 1.0366          | 0.1139              | 67    |
 | 1.0931     | 0.1122         | 1.0513          | 0.1134              | 68    |
 | 1.0860     | 0.1124         | 1.0264          | 0.1137              | 69    |
+| 1.0807     | 0.1126         | 1.0215          | 0.1148              | 70    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:2f0e404ba25ef4ea87a25ccc4fd408dd3e951485cb62f2b9efc258d59f1aada6
 size 499741936