Training in progress epoch 61

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: 1.1403
-- Train Accuracy: 0.1111
-- Validation Loss: 1.0874
-- Validation Accuracy: 0.1123
-- Epoch: 60
+- Train Loss: 1.1360
+- Train Accuracy: 0.1112
+- Validation Loss: 1.0742
+- Validation Accuracy: 0.1145
+- Epoch: 61
 
 ## Model description
 
@@ -105,6 +105,7 @@ The following hyperparameters were used during training:
 | 1.1517     | 0.1109         | 1.1035          | 0.1124              | 58    |
 | 1.1454     | 0.1111         | 1.0718          | 0.1128              | 59    |
 | 1.1403     | 0.1111         | 1.0874          | 0.1123              | 60    |
+| 1.1360     | 0.1112         | 1.0742          | 0.1145              | 61    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:604209b7e17e83c8b8602d8b05c7dfb5712e71b5eafa93eb02ad314a0b3e73f1
 size 499741936