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jjoggoddalgi
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bert-base-nsmc

Text Classification
Transformers
TensorFlow
bert
generated_from_keras_callback
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Upload TFBertForSequenceClassification

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  1. README.md +8 -8
  2. tf_model.h5 +1 -1
README.md CHANGED
@@ -16,10 +16,10 @@ probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [klue/bert-base](https://huggingface.co/klue/bert-base) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Train Loss: 0.0277
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  - Train Accuracy: 0.9913
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- - Validation Loss: 0.5467
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- - Validation Accuracy: 0.8724
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  - Epoch: 4
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  ## Model description
@@ -46,11 +46,11 @@ 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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- | 0.3956 | 0.8163 | 0.3014 | 0.8720 | 0 |
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- | 0.2193 | 0.9121 | 0.3282 | 0.8684 | 1 |
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- | 0.1062 | 0.9622 | 0.3999 | 0.8714 | 2 |
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- | 0.0478 | 0.9847 | 0.4950 | 0.8702 | 3 |
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- | 0.0277 | 0.9913 | 0.5467 | 0.8724 | 4 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [klue/bert-base](https://huggingface.co/klue/bert-base) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Train Loss: 0.0271
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  - Train Accuracy: 0.9913
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+ - Validation Loss: 0.5408
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+ - Validation Accuracy: 0.8754
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  - Epoch: 4
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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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+ | 0.4063 | 0.8061 | 0.3151 | 0.8648 | 0 |
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+ | 0.2178 | 0.9151 | 0.3074 | 0.8724 | 1 |
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+ | 0.1017 | 0.9651 | 0.3884 | 0.8694 | 2 |
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+ | 0.0473 | 0.9860 | 0.5086 | 0.8746 | 3 |
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+ | 0.0271 | 0.9913 | 0.5408 | 0.8754 | 4 |
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  ### Framework versions
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