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YakovElm
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Cross_Project_5_Classic

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: 0.2844
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- - Train Accuracy: 0.8920
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- - Validation Loss: 0.4269
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- - Validation Accuracy: 0.8485
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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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- | 0.3545 | 0.8808 | 0.4120 | 0.8414 | 0 |
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- | 0.3320 | 0.8823 | 0.4046 | 0.8447 | 1 |
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- | 0.2844 | 0.8920 | 0.4269 | 0.8485 | 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: 0.2546
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+ - Train Accuracy: 0.9045
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+ - Validation Loss: 0.4144
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+ - Validation Accuracy: 0.8437
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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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+ | 0.3534 | 0.8812 | 0.4083 | 0.8414 | 0 |
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+ | 0.3215 | 0.8842 | 0.3936 | 0.8483 | 1 |
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+ | 0.2546 | 0.9045 | 0.4144 | 0.8437 | 2 |
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  ### Framework versions
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