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Model save

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README.md CHANGED
@@ -2,18 +2,16 @@
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  tags:
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  - generated_from_trainer
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  model-index:
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- - name: qa_bert
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  results: []
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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  should probably proofread and complete it, then remove this comment. -->
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- # qa_bert
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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: 3.1232
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  ## Model description
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@@ -33,37 +31,18 @@ More information needed
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  The following hyperparameters were used during training:
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  - learning_rate: 2e-05
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- - train_batch_size: 64
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- - eval_batch_size: 64
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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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- - num_epochs: 20
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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- | No log | 1.0 | 5 | 4.4525 |
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- | No log | 2.0 | 10 | 4.0059 |
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- | No log | 3.0 | 15 | 3.6661 |
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- | No log | 4.0 | 20 | 3.4907 |
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- | No log | 5.0 | 25 | 3.3560 |
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- | No log | 6.0 | 30 | 3.2685 |
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- | No log | 7.0 | 35 | 3.1568 |
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- | No log | 8.0 | 40 | 3.0862 |
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- | No log | 9.0 | 45 | 3.1088 |
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- | No log | 10.0 | 50 | 3.0595 |
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- | No log | 11.0 | 55 | 3.1017 |
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- | No log | 12.0 | 60 | 3.0302 |
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- | No log | 13.0 | 65 | 3.0631 |
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- | No log | 14.0 | 70 | 3.0727 |
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- | No log | 15.0 | 75 | 3.0907 |
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- | No log | 16.0 | 80 | 3.0936 |
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- | No log | 17.0 | 85 | 3.1132 |
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- | No log | 18.0 | 90 | 3.1093 |
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- | No log | 19.0 | 95 | 3.1186 |
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- | No log | 20.0 | 100 | 3.1232 |
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  ### Framework versions
 
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  tags:
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  - generated_from_trainer
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  model-index:
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+ - name: QA_BERT
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  results: []
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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  should probably proofread and complete it, then remove this comment. -->
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+ # QA_BERT
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  This model was trained from scratch on the None dataset.
 
 
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  ## Model description
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  The following hyperparameters were used during training:
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  - learning_rate: 2e-05
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+ - train_batch_size: 16
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+ - eval_batch_size: 1
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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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+ - num_epochs: 1
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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+ | No log | 1.0 | 20 | 4.1116 |
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ### Framework versions
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