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YakovElm
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Apache10Classic_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: 0.5520
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- - Train Accuracy: 0.7368
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- - Validation Loss: 0.5920
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- - Validation Accuracy: 0.6995
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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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- | 0.6285 | 0.6658 | 0.6363 | 0.6639 | 0 |
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- | 0.6052 | 0.6931 | 0.5984 | 0.7049 | 1 |
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- | 0.5520 | 0.7368 | 0.5920 | 0.6995 | 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: 0.5541
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+ - Train Accuracy: 0.7049
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+ - Validation Loss: 0.5874
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+ - Validation Accuracy: 0.6940
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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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+ | 0.6312 | 0.6685 | 0.6166 | 0.6694 | 0 |
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+ | 0.5872 | 0.6867 | 0.6025 | 0.6831 | 1 |
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+ | 0.5541 | 0.7049 | 0.5874 | 0.6940 | 2 |
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  ### Framework versions
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