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YakovElm
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Apache10Classic_Balance_DATA_ratio_Half

Text Classification
Transformers
TensorFlow
bert
generated_from_keras_callback
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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: 0.5942
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- - Train Accuracy: 0.6903
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- - Validation Loss: 0.6165
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- - Validation Accuracy: 0.6612
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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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- | 0.6506 | 0.6576 | 0.6122 | 0.6940 | 0 |
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- | 0.6198 | 0.6703 | 0.6049 | 0.6940 | 1 |
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- | 0.5942 | 0.6903 | 0.6165 | 0.6612 | 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: 0.5599
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+ - Train Accuracy: 0.7195
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+ - Validation Loss: 0.6311
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+ - Validation Accuracy: 0.6831
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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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+ | 0.6404 | 0.6430 | 0.6082 | 0.6995 | 0 |
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+ | 0.6084 | 0.6885 | 0.6509 | 0.5902 | 1 |
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+ | 0.5599 | 0.7195 | 0.6311 | 0.6831 | 2 |
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  ### Framework versions
tf_model.h5 CHANGED
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