Upload TFBertForSequenceClassification
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README.md
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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:
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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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#
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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 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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### 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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## Model description
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### Training results
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### Framework versions
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