Training in progress epoch 59

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: 1.1517
-- Train Accuracy: 0.1109
-- Validation Loss: 1.1035
-- Validation Accuracy: 0.1124
-- Epoch: 58
+- Train Loss: 1.1454
+- Train Accuracy: 0.1111
+- Validation Loss: 1.0718
+- Validation Accuracy: 0.1128
+- Epoch: 59
 
 ## Model description
 
@@ -103,6 +103,7 @@ The following hyperparameters were used during training:
 | 1.1613     | 0.1106         | 1.1084          | 0.1120              | 56    |
 | 1.1563     | 0.1107         | 1.1035          | 0.1119              | 57    |
 | 1.1517     | 0.1109         | 1.1035          | 0.1124              | 58    |
+| 1.1454     | 0.1111         | 1.0718          | 0.1128              | 59    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:48c0dc8d6e357ff7abfcabb2cbbd3d43a0936e9f9e99f60e4b9aac533fd3728c
 size 499741936