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bert-fine-tuned-medical-insurance-ner

Token Classification
Transformers
TensorFlow
bert
generated_from_keras_callback
Inference Endpoints
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JustAdvanceTechonology commited on
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Training in progress epoch 2

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  1. README.md +4 -3
  2. tf_model.h5 +1 -1
README.md CHANGED
@@ -14,9 +14,9 @@ probably proofread and complete it, then remove this comment. -->
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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: 0.0454
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- - Validation Loss: 0.0580
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- - Epoch: 1
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  ## Model description
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@@ -44,6 +44,7 @@ The following hyperparameters were used during training:
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  |:----------:|:---------------:|:-----:|
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  | 0.1775 | 0.0646 | 0 |
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  | 0.0454 | 0.0580 | 1 |
 
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  ### Framework versions
 
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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: 0.0269
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+ - Validation Loss: 0.0551
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+ - Epoch: 2
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  ## Model description
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  |:----------:|:---------------:|:-----:|
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  | 0.1775 | 0.0646 | 0 |
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  | 0.0454 | 0.0580 | 1 |
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+ | 0.0269 | 0.0551 | 2 |
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  ### Framework versions
tf_model.h5 CHANGED
@@ -1,3 +1,3 @@
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