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QA-bert-base-chinese-Hw1

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End of training

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  1. README.md +4 -5
  2. pytorch_model.bin +1 -1
README.md CHANGED
@@ -14,7 +14,7 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [bert-base-chinese](https://huggingface.co/bert-base-chinese) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 1.3820
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  ## Model description
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@@ -41,15 +41,14 @@ The following hyperparameters were used during training:
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  - total_train_batch_size: 2
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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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- - num_epochs: 3
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:-----:|:---------------:|
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- | 0.6399 | 1.0 | 13821 | 1.3820 |
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- | 0.4027 | 2.0 | 27642 | 1.3894 |
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- | 0.2129 | 3.0 | 41463 | 1.5486 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [bert-base-chinese](https://huggingface.co/bert-base-chinese) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.8793
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  ## Model description
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  - total_train_batch_size: 2
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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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+ - num_epochs: 2
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:-----:|:---------------:|
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+ | 0.8471 | 1.0 | 13671 | 0.8793 |
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+ | 0.422 | 2.0 | 27342 | 0.9830 |
 
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  ### Framework versions
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