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YakovElm
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Apache15Classic_Balance_DATA_ratio_1

Text Classification
Transformers
TensorFlow
bert
generated_from_keras_callback
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Upload TFBertForSequenceClassification

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  1. README.md +6 -6
  2. tf_model.h5 +1 -1
README.md CHANGED
@@ -14,9 +14,9 @@ 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: 0.6279
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- - Train Accuracy: 0.6241
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- - Validation Loss: 0.6321
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  - Validation Accuracy: 0.6284
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  - Epoch: 2
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@@ -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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- | 0.6976 | 0.5237 | 0.6725 | 0.5519 | 0 |
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- | 0.6471 | 0.6077 | 0.6597 | 0.5902 | 1 |
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- | 0.6279 | 0.6241 | 0.6321 | 0.6284 | 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: 0.6174
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+ - Train Accuracy: 0.6515
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+ - Validation Loss: 0.6344
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  - Validation Accuracy: 0.6284
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  - Epoch: 2
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  | Train Loss | Train Accuracy | Validation Loss | Validation Accuracy | Epoch |
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  |:----------:|:--------------:|:---------------:|:-------------------:|:-----:|
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+ | 0.6983 | 0.5310 | 0.7039 | 0.5301 | 0 |
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+ | 0.6642 | 0.5912 | 0.6633 | 0.6175 | 1 |
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+ | 0.6174 | 0.6515 | 0.6344 | 0.6284 | 2 |
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  ### Framework versions
tf_model.h5 CHANGED
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