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YakovElm
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Apache5Classic_Balance_DATA_ratio_Half

Text Classification
Transformers
TensorFlow
bert
generated_from_keras_callback
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1 Parent(s): fb28418

Upload TFBertForSequenceClassification

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  1. README.md +7 -7
  2. tf_model.h5 +1 -1
README.md CHANGED
@@ -14,10 +14,10 @@ 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: 0.5149
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- - Train Accuracy: 0.7544
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- - Validation Loss: 0.6681
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- - Validation Accuracy: 0.6236
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  - Epoch: 2
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  ## Model description
@@ -44,9 +44,9 @@ The following hyperparameters were used during training:
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  | Train Loss | Train Accuracy | Validation Loss | Validation Accuracy | Epoch |
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  |:----------:|:--------------:|:---------------:|:-------------------:|:-----:|
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- | 0.6293 | 0.6684 | 0.6625 | 0.5970 | 0 |
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- | 0.5915 | 0.6987 | 0.6110 | 0.6920 | 1 |
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- | 0.5149 | 0.7544 | 0.6681 | 0.6236 | 2 |
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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: 0.5918
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+ - Train Accuracy: 0.6987
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+ - Validation Loss: 0.6202
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+ - Validation Accuracy: 0.6882
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  - Epoch: 2
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  ## Model description
 
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  | Train Loss | Train Accuracy | Validation Loss | Validation Accuracy | Epoch |
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  |:----------:|:--------------:|:---------------:|:-------------------:|:-----:|
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+ | 0.6351 | 0.6418 | 0.6371 | 0.6426 | 0 |
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+ | 0.6209 | 0.6734 | 0.6201 | 0.6426 | 1 |
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+ | 0.5918 | 0.6987 | 0.6202 | 0.6882 | 2 |
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  ### Framework versions
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