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leetdavid
/
market_positivity_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: 0.3686
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- - Train Sparse Categorical Accuracy: 0.8658
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- - Validation Loss: 0.5810
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- - Validation Sparse Categorical Accuracy: 0.7778
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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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- | 0.5784 | 0.7848 | 0.5686 | 0.7929 | 0 |
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- | 0.4503 | 0.8342 | 0.4966 | 0.8030 | 1 |
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- | 0.3686 | 0.8658 | 0.5810 | 0.7778 | 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: 0.3345
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+ - Train Sparse Categorical Accuracy: 0.8918
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+ - Validation Loss: 0.3843
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+ - Validation Sparse Categorical Accuracy: 0.8676
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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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+ | 0.4272 | 0.8468 | 0.3481 | 0.8735 | 0 |
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+ | 0.3657 | 0.8804 | 0.3581 | 0.8953 | 1 |
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+ | 0.3345 | 0.8918 | 0.3843 | 0.8676 | 2 |
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  ### Framework versions
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