Training in progress epoch 27

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: 1.5545
-- Train Accuracy: 0.1018
-- Validation Loss: 1.4561
-- Validation Accuracy: 0.1031
-- Epoch: 26
+- Train Loss: 1.5231
+- Train Accuracy: 0.1024
+- Validation Loss: 1.4365
+- Validation Accuracy: 0.1054
+- Epoch: 27
 
 ## Model description
 
@@ -71,6 +71,7 @@ The following hyperparameters were used during training:
 | 1.6327     | 0.1001         | 1.5273          | 0.1035              | 24    |
 | 1.5906     | 0.1010         | 1.4766          | 0.1042              | 25    |
 | 1.5545     | 0.1018         | 1.4561          | 0.1031              | 26    |
+| 1.5231     | 0.1024         | 1.4365          | 0.1054              | 27    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:e15730fc33cfc39d5860109db0623a02edc484e6a89e5be6d73fbcd7534c580a
 size 499741936