Training in progress epoch 46

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: 1.3111
-- Train Accuracy: 0.1071
-- Validation Loss: 1.2334
-- Validation Accuracy: 0.1096
-- Epoch: 45
+- Train Loss: 1.2962
+- Train Accuracy: 0.1075
+- Validation Loss: 1.2490
+- Validation Accuracy: 0.1084
+- Epoch: 46
 
 ## Model description
 
@@ -90,6 +90,7 @@ The following hyperparameters were used during training:
 | 1.3469     | 0.1063         | 1.2637          | 0.1081              | 43    |
 | 1.3288     | 0.1067         | 1.2598          | 0.1082              | 44    |
 | 1.3111     | 0.1071         | 1.2334          | 0.1096              | 45    |
+| 1.2962     | 0.1075         | 1.2490          | 0.1084              | 46    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:e305ff1c9c8ff0348957a2146aeb5abf7f06a2602baa190831e47f45a19acb67
 size 499741936