Training in progress epoch 39

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: 1.4631
-- Train Accuracy: 0.1037
-- Validation Loss: 1.3721
-- Validation Accuracy: 0.1053
-- Epoch: 38
+- Train Loss: 1.4363
+- Train Accuracy: 0.1043
+- Validation Loss: 1.3467
+- Validation Accuracy: 0.1060
+- Epoch: 39
 
 ## Model description
 
@@ -83,6 +83,7 @@ The following hyperparameters were used during training:
 | 1.5295     | 0.1022         | 1.4238          | 0.1052              | 36    |
 | 1.4944     | 0.1030         | 1.4141          | 0.1059              | 37    |
 | 1.4631     | 0.1037         | 1.3721          | 0.1053              | 38    |
+| 1.4363     | 0.1043         | 1.3467          | 0.1060              | 39    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:322104a5bbcbb642505452a9bfaf103c31e7daf68a69d5ca8cbdba53354c77ab
 size 499741936