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jiaxin97
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bert-finetuned-ner-ADR

Token Classification
Transformers
TensorFlow
bert
generated_from_keras_callback
Inference Endpoints
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End of training

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  1. README.md +5 -4
  2. tf_model.h5 +1 -1
README.md CHANGED
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  ---
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- license: apache-2.0
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  tags:
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  - generated_from_keras_callback
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  model-index:
@@ -14,9 +13,9 @@ probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Train Loss: 0.3490
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- - Validation Loss: 0.2767
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- - Epoch: 0
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  ## Model description
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@@ -43,6 +42,8 @@ The following hyperparameters were used during training:
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  | Train Loss | Validation Loss | Epoch |
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  |:----------:|:---------------:|:-----:|
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  | 0.3490 | 0.2767 | 0 |
 
 
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  ### Framework versions
 
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  ---
 
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  tags:
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  - generated_from_keras_callback
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  model-index:
 
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  This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Train Loss: 0.1574
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+ - Validation Loss: 0.1956
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+ - Epoch: 2
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  ## Model description
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  | Train Loss | Validation Loss | Epoch |
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  |:----------:|:---------------:|:-----:|
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  | 0.3490 | 0.2767 | 0 |
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+ | 0.2110 | 0.2121 | 1 |
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+ | 0.1574 | 0.1956 | 2 |
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  ### Framework versions
tf_model.h5 CHANGED
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  size 435861524
 
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