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clickbait-ml_bert

Text Classification
Transformers
TensorFlow
ONNX
German
bert
generated_from_keras_callback
text-embeddings-inference
Model card Files
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tkoehlerlg commited on
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Upload TFBertForSequenceClassification

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  1. README.md +7 -7
  2. tf_model.h5 +1 -1
README.md CHANGED
@@ -14,9 +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-german-cased](https://huggingface.co/bert-base-german-cased) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Train Loss: 0.6275
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- - Validation Loss: 0.6303
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- - Train Accuracy: 0.7059
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  - Epoch: 3
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  ## Model description
@@ -43,10 +43,10 @@ The following hyperparameters were used during training:
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  | Train Loss | Validation Loss | Train Accuracy | Epoch |
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  |:----------:|:---------------:|:--------------:|:-----:|
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- | 0.6891 | 0.6542 | 0.5882 | 0 |
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- | 0.6173 | 0.6303 | 0.7059 | 1 |
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- | 0.6174 | 0.6303 | 0.7059 | 2 |
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- | 0.6275 | 0.6303 | 0.7059 | 3 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [bert-base-german-cased](https://huggingface.co/bert-base-german-cased) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Train Loss: 0.5835
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+ - Validation Loss: 0.6134
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+ - Train Accuracy: 0.8824
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  - Epoch: 3
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  ## Model description
 
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  | Train Loss | Validation Loss | Train Accuracy | Epoch |
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  |:----------:|:---------------:|:--------------:|:-----:|
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+ | 0.7155 | 0.6228 | 0.6471 | 0 |
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+ | 0.5988 | 0.6134 | 0.8824 | 1 |
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+ | 0.5800 | 0.6134 | 0.8824 | 2 |
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+ | 0.5835 | 0.6134 | 0.8824 | 3 |
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  ### Framework versions
tf_model.h5 CHANGED
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