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Model save

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  1. README.md +15 -5
  2. pytorch_model.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 squad_v2 dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 1.2041
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  ## Model description
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@@ -35,14 +35,14 @@ 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: 128
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- - eval_batch_size: 128
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  - seed: 42
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  - gradient_accumulation_steps: 4
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- - total_train_batch_size: 512
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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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@@ -58,6 +58,16 @@ The following hyperparameters were used during training:
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  | 1.2755 | 1.57 | 800 | 1.2090 |
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  | 1.251 | 1.76 | 900 | 1.2041 |
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  | 1.229 | 1.96 | 1000 | 1.2159 |
 
 
 
 
 
 
 
 
 
 
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  ### Framework versions
 
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  This model was trained from scratch on the squad_v2 dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 1.1459
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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: 64
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+ - eval_batch_size: 64
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  - seed: 42
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  - gradient_accumulation_steps: 4
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+ - total_train_batch_size: 256
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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: 4
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  ### Training results
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  | 1.2755 | 1.57 | 800 | 1.2090 |
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  | 1.251 | 1.76 | 900 | 1.2041 |
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  | 1.229 | 1.96 | 1000 | 1.2159 |
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+ | 1.1921 | 2.16 | 1100 | 1.1828 |
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+ | 1.1926 | 2.35 | 1200 | 1.2120 |
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+ | 1.1606 | 2.55 | 1300 | 1.1737 |
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+ | 1.1486 | 2.75 | 1400 | 1.1469 |
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+ | 1.1195 | 2.94 | 1500 | 1.1459 |
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+ | 1.0883 | 3.14 | 1600 | 1.1570 |
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+ | 1.0526 | 3.33 | 1700 | 1.1771 |
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+ | 1.0611 | 3.53 | 1800 | 1.1740 |
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+ | 1.0521 | 3.73 | 1900 | 1.1596 |
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+ | 1.0476 | 3.92 | 2000 | 1.1538 |
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  ### Framework versions
pytorch_model.bin CHANGED
@@ -1,3 +1,3 @@
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  size 435640934
 
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  size 435640934