ProceduralTree
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HW3_long_training

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ProceduralTree commited on Jan 4, 2023

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update model card README.md

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@@ -16,7 +16,7 @@ should probably proofread and complete it, then remove this comment. -->
 This model is a fine-tuned version of [bert-base-chinese](https://huggingface.co/bert-base-chinese) on the None dataset.
 It achieves the following results on the evaluation set:
 - Loss: 1.3863
-- Accuracy: 0.2863
 ## Model description
@@ -47,8 +47,8 @@ The following hyperparameters were used during training:
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 1.3897        | 1.0   | 3007 | 1.3863          | 0.2933   |
-| 1.3933        | 2.0   | 6014 | 1.3863          | 0.2863   |
 ### Framework versions

 This model is a fine-tuned version of [bert-base-chinese](https://huggingface.co/bert-base-chinese) on the None dataset.
 It achieves the following results on the evaluation set:
 - Loss: 1.3863
+- Accuracy: 0.3029
 ## Model description
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 1.3178        | 1.0   | 3007 | 1.3052          | 0.3169   |
+| 1.3991        | 2.0   | 6014 | 1.3863          | 0.3029   |
 ### Framework versions