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YakovElm
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IntelDAOS5Classic_Balance_DATA_ratio_Half

Text Classification
Transformers
TensorFlow
bert
generated_from_keras_callback
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YakovElm commited on
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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: 0.5717
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- - Train Accuracy: 0.7037
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- - Validation Loss: 0.6161
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- - Validation Accuracy: 0.6349
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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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- | 0.6389 | 0.6190 | 0.6208 | 0.6667 | 0 |
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- | 0.5868 | 0.6878 | 0.5984 | 0.6825 | 1 |
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- | 0.5717 | 0.7037 | 0.6161 | 0.6349 | 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: 0.5860
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+ - Train Accuracy: 0.6772
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+ - Validation Loss: 0.6540
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+ - Validation Accuracy: 0.6667
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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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+ | 0.6459 | 0.6455 | 0.6410 | 0.6667 | 0 |
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+ | 0.6023 | 0.6825 | 0.6514 | 0.6190 | 1 |
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+ | 0.5860 | 0.6772 | 0.6540 | 0.6667 | 2 |
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  ### Framework versions
tf_model.h5 CHANGED
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