Training in progress epoch 36

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: 6.3614
-- Train Accuracy: 0.0321
-- Validation Loss: 6.3093
-- Validation Accuracy: 0.0322
-- Epoch: 35
+- Train Loss: 6.2754
+- Train Accuracy: 0.0329
+- Validation Loss: 6.2240
+- Validation Accuracy: 0.0326
+- Epoch: 36
 
 ## Model description
 
@@ -81,6 +81,7 @@ The following hyperparameters were used during training:
 | 6.4674     | 0.0319         | 6.4212          | 0.0314              | 33    |
 | 6.4096     | 0.0322         | 6.3557          | 0.0320              | 34    |
 | 6.3614     | 0.0321         | 6.3093          | 0.0322              | 35    |
+| 6.2754     | 0.0329         | 6.2240          | 0.0326              | 36    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:aba824792a0d7c500c9cd5a5d84dbd47ef5d2ad5394a8eb6bbad41f0e07c1e90
 size 499741936