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doyoungkim
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bert-base-uncased-sst2-membership-attack

Text Classification
Transformers
PyTorch
bert
Generated from Trainer
Inference Endpoints
Model card Files Community
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doyoungkim commited on
Commit
913d363
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1 Parent(s): d61cccc

add model

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Files changed (3) hide show
  1. README.md +7 -7
  2. pytorch_model.bin +1 -1
  3. training_args.bin +1 -1
README.md CHANGED
@@ -15,8 +15,8 @@ should 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 unkown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.6929
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- - Accuracy: 0.5390
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  ## Model description
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@@ -47,11 +47,11 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:-----:|:---------------:|:--------:|
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- | 0.6932 | 1.0 | 3813 | 0.6929 | 0.5390 |
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- | 0.693 | 2.0 | 7626 | 0.6928 | 0.5344 |
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- | 0.693 | 3.0 | 11439 | 0.6915 | 0.5103 |
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- | 0.693 | 4.0 | 15252 | 0.6909 | 0.4885 |
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- | 0.693 | 5.0 | 19065 | 0.6908 | 0.4966 |
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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 unkown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.6931
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+ - Accuracy: 0.5092
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:-----:|:---------------:|:--------:|
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+ | 0.6931 | 1.0 | 3813 | 0.6931 | 0.5 |
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+ | 0.6931 | 2.0 | 7626 | 0.6931 | 0.5092 |
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+ | 0.6931 | 3.0 | 11439 | 0.6931 | 0.4920 |
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+ | 0.6931 | 4.0 | 15252 | 0.6931 | 0.5092 |
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+ | 0.6931 | 5.0 | 19065 | 0.6931 | 0.4644 |
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  ### Framework versions
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