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tuanio
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fine-tuning-binary_bert-cola-glue-steps47-bs128-0.0003-8-8-512-0.1

Text Classification
Transformers
PyTorch
bert
Generated from Trainer
Inference Endpoints
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  1. README.md +5 -5
  2. pytorch_model.bin +1 -1
  3. training_args.bin +1 -1
README.md CHANGED
@@ -15,7 +15,7 @@ should probably proofread and complete it, then remove this comment. -->
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  This model was trained from scratch on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.0000
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  - Accuracy: 1.0
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  ## Model description
@@ -52,10 +52,10 @@ 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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- | 0.0999 | 0.21 | 5 | 0.0027 | 1.0 |
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- | 0.0012 | 0.42 | 10 | 0.0001 | 1.0 |
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- | 0.0001 | 0.62 | 15 | 0.0000 | 1.0 |
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- | 0.0 | 0.83 | 20 | 0.0000 | 1.0 |
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  ### Framework versions
 
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  This model was trained from scratch on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.0003
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  - Accuracy: 1.0
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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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+ | 0.3086 | 0.21 | 5 | 0.0410 | 1.0 |
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+ | 0.02 | 0.42 | 10 | 0.0019 | 1.0 |
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+ | 0.0016 | 0.62 | 15 | 0.0005 | 1.0 |
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+ | 0.0006 | 0.83 | 20 | 0.0003 | 1.0 |
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  ### Framework versions
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