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leetdavid
/
importance_model

Text Classification
Transformers
TensorFlow
bert
generated_from_keras_callback
Inference Endpoints
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add model

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  1. README.md +7 -7
  2. tf_model.h5 +1 -1
README.md CHANGED
@@ -14,10 +14,10 @@ probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [hfl/chinese-roberta-wwm-ext](https://huggingface.co/hfl/chinese-roberta-wwm-ext) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Train Loss: 0.5902
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- - Train Sparse Categorical Accuracy: 0.7910
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- - Validation Loss: 0.8534
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- - Validation Sparse Categorical Accuracy: 0.7372
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  - Epoch: 2
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  ## Model description
@@ -44,9 +44,9 @@ The following hyperparameters were used during training:
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  | Train Loss | Train Sparse Categorical Accuracy | Validation Loss | Validation Sparse Categorical Accuracy | Epoch |
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  |:----------:|:---------------------------------:|:---------------:|:--------------------------------------:|:-----:|
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- | 0.9209 | 0.6502 | 0.8464 | 0.7055 | 0 |
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- | 0.7112 | 0.7633 | 0.8572 | 0.7332 | 1 |
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- | 0.5902 | 0.7910 | 0.8534 | 0.7372 | 2 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [hfl/chinese-roberta-wwm-ext](https://huggingface.co/hfl/chinese-roberta-wwm-ext) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Train Loss: 0.4867
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+ - Train Sparse Categorical Accuracy: 0.8389
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+ - Validation Loss: 0.6060
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+ - Validation Sparse Categorical Accuracy: 0.8016
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  - Epoch: 2
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  ## Model description
 
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  | Train Loss | Train Sparse Categorical Accuracy | Validation Loss | Validation Sparse Categorical Accuracy | Epoch |
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  |:----------:|:---------------------------------:|:---------------:|:--------------------------------------:|:-----:|
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+ | 0.7037 | 0.7614 | 0.6077 | 0.7964 | 0 |
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+ | 0.5683 | 0.8120 | 0.5615 | 0.8106 | 1 |
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+ | 0.4867 | 0.8389 | 0.6060 | 0.8016 | 2 |
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  ### Framework versions
tf_model.h5 CHANGED
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