Training in progress epoch 41

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: 6.0936
-- Train Accuracy: 0.0329
-- Validation Loss: 6.0600
-- Validation Accuracy: 0.0324
-- Epoch: 40
+- Train Loss: 6.0625
+- Train Accuracy: 0.0330
+- Validation Loss: 6.0282
+- Validation Accuracy: 0.0323
+- Epoch: 41
 
 ## Model description
 
@@ -86,6 +86,7 @@ The following hyperparameters were used during training:
 | 6.1866     | 0.0329         | 6.1645          | 0.0320              | 38    |
 | 6.1470     | 0.0330         | 6.1193          | 0.0323              | 39    |
 | 6.0936     | 0.0329         | 6.0600          | 0.0324              | 40    |
+| 6.0625     | 0.0330         | 6.0282          | 0.0323              | 41    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:539d3e5dd21c8350465c8e4116feef16d64c133e4a7f89d43653ce2b11dca8b2
 size 499741936