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YakovElm
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Apache10Classic_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: 0.4299
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- - Train Accuracy: 0.8067
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- - Validation Loss: 0.5477
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- - Validation Accuracy: 0.7561
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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 | 0.75 | 0.5558 | 0.7398 | 0 |
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- | 0.4880 | 0.7691 | 0.5585 | 0.7602 | 1 |
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- | 0.4299 | 0.8067 | 0.5477 | 0.7561 | 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: 0.4992
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+ - Train Accuracy: 0.7637
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+ - Validation Loss: 0.5755
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+ - Validation Accuracy: 0.7336
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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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+ | 0.5466 | 0.7493 | 0.5843 | 0.7029 | 0 |
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+ | 0.5130 | 0.7596 | 0.5762 | 0.7377 | 1 |
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+ | 0.4992 | 0.7637 | 0.5755 | 0.7336 | 2 |
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  ### Framework versions
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