ProceduralTree
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final-model

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ProceduralTree commited on Jan 12, 2023

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update model card README.md

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@@ -16,8 +16,8 @@ should probably proofread and complete it, then remove this comment. -->
 This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.9088
-- Accuracy: 0.6072
 ## Model description
@@ -48,8 +48,8 @@ The following hyperparameters were used during training:
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.8407        | 1.0   | 4224 | 0.8631          | 0.6013   |
-| 0.7502        | 2.0   | 8448 | 0.9088          | 0.6072   |
 ### Framework versions

 This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the None dataset.
 It achieves the following results on the evaluation set:
+- Loss: 0.9257
+- Accuracy: 0.6021
 ## Model description
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 0.8464        | 1.0   | 4224 | 0.8643          | 0.6      |
+| 0.7506        | 2.0   | 8448 | 0.9257          | 0.6021   |
 ### Framework versions