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Upload TFBertForSequenceClassification

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@@ -4,22 +4,18 @@ base_model: hfl/chinese-roberta-wwm-ext
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  tags:
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  - generated_from_keras_callback
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  model-index:
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- - name: marsyao/chinese-sentiment-tiny-model
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  results: []
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  ---
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  <!-- This model card has been generated automatically according to the information Keras had access to. You should
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  probably proofread and complete it, then remove this comment. -->
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- # marsyao/chinese-sentiment-tiny-model
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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: 0.1647
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- - Train Accuracy: 0.9421
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- - Validation Loss: 0.2823
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- - Validation Accuracy: 0.9009
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- - Epoch: 2
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  ## Model description
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@@ -43,11 +39,6 @@ The following hyperparameters were used during training:
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  ### Training results
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- | Train Loss | Train Accuracy | Validation Loss | Validation Accuracy | Epoch |
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- |:----------:|:--------------:|:---------------:|:-------------------:|:-----:|
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- | 0.2760 | 0.8934 | 0.3137 | 0.8686 | 0 |
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- | 0.2117 | 0.9222 | 0.2881 | 0.8998 | 1 |
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- | 0.1647 | 0.9421 | 0.2823 | 0.9009 | 2 |
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  ### Framework versions
 
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  tags:
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  - generated_from_keras_callback
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  model-index:
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+ - name: chinese-sentiment-tiny-model
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  results: []
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  ---
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  <!-- This model card has been generated automatically according to the information Keras had access to. You should
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  probably proofread and complete it, then remove this comment. -->
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+ # chinese-sentiment-tiny-model
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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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+
 
 
 
 
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  ## Model description
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  ### Training results
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  ### Framework versions