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peterhsu
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tf_bert-finetuned-ner

Token Classification
Transformers
TensorFlow
bert
generated_from_keras_callback
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  1. README.md +3 -8
  2. tf_model.h5 +1 -1
README.md CHANGED
@@ -3,20 +3,18 @@ license: apache-2.0
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  tags:
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  - generated_from_keras_callback
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  model-index:
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- - name: peterhsu/tf_bert-finetuned-ner
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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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- # peterhsu/tf_bert-finetuned-ner
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  This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Train Loss: 0.1743
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- - Validation Loss: 0.0663
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- - Epoch: 0
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  ## Model description
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@@ -40,9 +38,6 @@ The following hyperparameters were used during training:
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  ### Training results
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- | Train Loss | Validation Loss | Epoch |
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- |:----------:|:---------------:|:-----:|
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- | 0.1743 | 0.0663 | 0 |
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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: tf_bert-finetuned-ner
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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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+ # tf_bert-finetuned-ner
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  This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) 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
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