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YakovElm
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Apache15Classic_Balance_DATA_ratio_2

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: 0.5159
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- - Train Accuracy: 0.7701
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- - Validation Loss: 0.5782
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- - Validation Accuracy: 0.6971
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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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- | 0.6157 | 0.6776 | 0.5898 | 0.6642 | 0 |
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- | 0.5631 | 0.7214 | 0.5658 | 0.7080 | 1 |
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- | 0.5159 | 0.7701 | 0.5782 | 0.6971 | 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: 0.5440
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+ - Train Accuracy: 0.7056
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+ - Validation Loss: 0.6670
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+ - Validation Accuracy: 0.7190
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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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+ | 0.6106 | 0.6776 | 0.5839 | 0.6715 | 0 |
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+ | 0.5830 | 0.6922 | 0.5614 | 0.6934 | 1 |
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+ | 0.5440 | 0.7056 | 0.6670 | 0.7190 | 2 |
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  ### Framework versions
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