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hung200504
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bert-30

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Transformers
PyTorch
bert
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bert-cased

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Files changed (3) hide show
  1. README.md +8 -14
  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 is a fine-tuned version of [deepset/bert-base-cased-squad2](https://huggingface.co/deepset/bert-base-cased-squad2) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 11.9330
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  ## Model description
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@@ -35,8 +35,8 @@ More information needed
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  The following hyperparameters were used during training:
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  - learning_rate: 3e-05
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- - train_batch_size: 16
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- - eval_batch_size: 16
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  - seed: 42
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
@@ -46,17 +46,11 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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- | 11.3134 | 0.09 | 5 | 12.3068 |
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- | 11.4146 | 0.18 | 10 | 12.2378 |
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- | 10.9861 | 0.27 | 15 | 12.1756 |
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- | 11.1036 | 0.36 | 20 | 12.1205 |
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- | 11.079 | 0.45 | 25 | 12.0721 |
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- | 11.1039 | 0.55 | 30 | 12.0310 |
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- | 10.3894 | 0.64 | 35 | 11.9972 |
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- | 11.034 | 0.73 | 40 | 11.9707 |
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- | 10.6017 | 0.82 | 45 | 11.9511 |
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- | 10.5161 | 0.91 | 50 | 11.9387 |
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- | 10.3011 | 1.0 | 55 | 11.9330 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [deepset/bert-base-cased-squad2](https://huggingface.co/deepset/bert-base-cased-squad2) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 12.1456
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  ## Model description
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  The following hyperparameters were used during training:
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  - learning_rate: 3e-05
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+ - train_batch_size: 32
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+ - eval_batch_size: 32
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  - seed: 42
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
 
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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+ | 11.2227 | 0.18 | 5 | 12.3080 |
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+ | 10.9657 | 0.36 | 10 | 12.2462 |
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+ | 11.1174 | 0.54 | 15 | 12.1988 |
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+ | 10.8921 | 0.71 | 20 | 12.1654 |
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+ | 10.8109 | 0.89 | 25 | 12.1456 |
 
 
 
 
 
 
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  ### Framework versions
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