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AdwayK
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base_bert_tuned_on_TAC2017_as_NER

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 +7 -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-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: 0.2315
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- - Validation Loss: 0.1098
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- - Epoch: 0
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  ## Model description
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@@ -43,6 +43,10 @@ The following hyperparameters were used during training:
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  | Train Loss | Validation Loss | Epoch |
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  |:----------:|:---------------:|:-----:|
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  | 0.2315 | 0.1098 | 0 |
 
 
 
 
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  ### Framework versions
 
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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: 0.0254
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+ - Validation Loss: 0.0714
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+ - Epoch: 4
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  ## Model description
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  | Train Loss | Validation Loss | Epoch |
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  |:----------:|:---------------:|:-----:|
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  | 0.2315 | 0.1098 | 0 |
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+ | 0.0801 | 0.0739 | 1 |
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+ | 0.0500 | 0.0746 | 2 |
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+ | 0.0327 | 0.0718 | 3 |
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+ | 0.0254 | 0.0714 | 4 |
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  ### Framework versions
tf_model.h5 CHANGED
@@ -1,3 +1,3 @@
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