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YakovElm
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Apache20Classic_Balance_DATA_ratio_3

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: 0.3816
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- - Train Accuracy: 0.8407
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- - Validation Loss: 0.4673
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- - Validation Accuracy: 0.7583
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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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- | 0.5409 | 0.7511 | 0.4774 | 0.7748 | 0 |
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- | 0.4796 | 0.7920 | 0.4688 | 0.7715 | 1 |
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- | 0.3816 | 0.8407 | 0.4673 | 0.7583 | 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: 0.4946
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+ - Train Accuracy: 0.7478
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+ - Validation Loss: 0.4568
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+ - Validation Accuracy: 0.7649
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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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+ | 0.5508 | 0.7489 | 0.4948 | 0.7616 | 0 |
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+ | 0.5171 | 0.7533 | 0.4904 | 0.7616 | 1 |
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+ | 0.4946 | 0.7478 | 0.4568 | 0.7649 | 2 |
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  ### Framework versions
tf_model.h5 CHANGED
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