Training in progress epoch 39

README.md

@@ -15,11 +15,11 @@ 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: 6.1866
-- Train Accuracy: 0.0329
-- Validation Loss: 6.1645
-- Validation Accuracy: 0.0320
-- Epoch: 38
+- Train Loss: 6.1470
+- Train Accuracy: 0.0330
+- Validation Loss: 6.1193
+- Validation Accuracy: 0.0323
+- Epoch: 39
 
 ## Model description
 
@@ -84,6 +84,7 @@ The following hyperparameters were used during training:
 | 6.2754     | 0.0329         | 6.2240          | 0.0326              | 36    |
 | 6.2609     | 0.0326         | 6.2114          | 0.0321              | 37    |
 | 6.1866     | 0.0329         | 6.1645          | 0.0320              | 38    |
+| 6.1470     | 0.0330         | 6.1193          | 0.0323              | 39    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:dc9b26e366c3f1d2b87437c097959009fc09d70595d7637542b7dd87c1463ea3
 size 499741936