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YakovElm
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Apache20Classic_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: 0.5202
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- - Train Accuracy: 0.7463
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- - Validation Loss: 0.5731
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- - Validation Accuracy: 0.7301
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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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- | 0.6224 | 0.6844 | 0.6100 | 0.6195 | 0 |
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- | 0.5779 | 0.7198 | 0.5530 | 0.7257 | 1 |
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- | 0.5202 | 0.7463 | 0.5731 | 0.7301 | 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: 0.5301
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+ - Train Accuracy: 0.7227
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+ - Validation Loss: 0.6836
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+ - Validation Accuracy: 0.6947
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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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+ | 0.6315 | 0.6667 | 0.6081 | 0.6726 | 0 |
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+ | 0.5750 | 0.6962 | 0.6117 | 0.6549 | 1 |
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+ | 0.5301 | 0.7227 | 0.6836 | 0.6947 | 2 |
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  ### Framework versions
tf_model.h5 CHANGED
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