Training in progress epoch 43

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: 1.3658
-- Train Accuracy: 0.1058
-- Validation Loss: 1.2832
-- Validation Accuracy: 0.1083
-- Epoch: 42
+- Train Loss: 1.3469
+- Train Accuracy: 0.1063
+- Validation Loss: 1.2637
+- Validation Accuracy: 0.1081
+- Epoch: 43
 
 ## Model description
 
@@ -87,6 +87,7 @@ The following hyperparameters were used during training:
 | 1.4098     | 0.1049         | 1.3213          | 0.1076              | 40    |
 | 1.3867     | 0.1054         | 1.3018          | 0.1071              | 41    |
 | 1.3658     | 0.1058         | 1.2832          | 0.1083              | 42    |
+| 1.3469     | 0.1063         | 1.2637          | 0.1081              | 43    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:363d6759eba4f45cd9372b68a442d4b3b0b9b363ab1311c03f3d8e1910777ddf
 size 499741936