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bert-30

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bert
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bert-cased

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  1. README.md +24 -35
  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: 11.0923
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  ## Model description
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@@ -40,45 +40,34 @@ The following hyperparameters were used during training:
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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: 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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- | 11.3132 | 0.09 | 5 | 12.3056 |
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- | 11.4114 | 0.18 | 10 | 12.2307 |
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- | 10.9764 | 0.27 | 15 | 12.1584 |
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- | 11.0818 | 0.36 | 20 | 12.0885 |
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- | 11.0423 | 0.45 | 25 | 12.0202 |
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- | 11.0449 | 0.55 | 30 | 11.9548 |
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- | 10.3108 | 0.64 | 35 | 11.8919 |
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- | 10.9207 | 0.73 | 40 | 11.8320 |
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- | 10.4606 | 0.82 | 45 | 11.7743 |
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- | 10.3376 | 0.91 | 50 | 11.7188 |
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- | 10.091 | 1.0 | 55 | 11.6658 |
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- | 10.2796 | 1.09 | 60 | 11.6154 |
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- | 10.3783 | 1.18 | 65 | 11.5677 |
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- | 10.5827 | 1.27 | 70 | 11.5216 |
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- | 10.1084 | 1.36 | 75 | 11.4785 |
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- | 10.5279 | 1.45 | 80 | 11.4372 |
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- | 10.2497 | 1.55 | 85 | 11.3984 |
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- | 10.1908 | 1.64 | 90 | 11.3618 |
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- | 10.0181 | 1.73 | 95 | 11.3275 |
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- | 10.2313 | 1.82 | 100 | 11.2956 |
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- | 9.7781 | 1.91 | 105 | 11.2663 |
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- | 10.1123 | 2.0 | 110 | 11.2391 |
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- | 10.0491 | 2.09 | 115 | 11.2141 |
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- | 9.869 | 2.18 | 120 | 11.1916 |
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- | 10.0292 | 2.27 | 125 | 11.1714 |
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- | 10.1515 | 2.36 | 130 | 11.1534 |
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- | 9.7539 | 2.45 | 135 | 11.1377 |
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- | 10.1323 | 2.55 | 140 | 11.1242 |
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- | 9.6956 | 2.64 | 145 | 11.1136 |
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- | 10.1937 | 2.73 | 150 | 11.1050 |
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- | 9.9615 | 2.82 | 155 | 11.0983 |
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- | 9.9249 | 2.91 | 160 | 11.0940 |
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- | 10.1271 | 3.0 | 165 | 11.0923 |
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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: 11.5113
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  ## Model description
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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: 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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+ | 11.3133 | 0.09 | 5 | 12.3059 |
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+ | 11.4119 | 0.18 | 10 | 12.2326 |
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+ | 10.9781 | 0.27 | 15 | 12.1623 |
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+ | 11.087 | 0.36 | 20 | 12.0961 |
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+ | 11.0516 | 0.45 | 25 | 12.0332 |
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+ | 11.0596 | 0.55 | 30 | 11.9737 |
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+ | 10.3306 | 0.64 | 35 | 11.9182 |
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+ | 10.9488 | 0.73 | 40 | 11.8666 |
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+ | 10.4959 | 0.82 | 45 | 11.8184 |
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+ | 10.3818 | 0.91 | 50 | 11.7738 |
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+ | 10.143 | 1.0 | 55 | 11.7325 |
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+ | 10.3456 | 1.09 | 60 | 11.6951 |
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+ | 10.4584 | 1.18 | 65 | 11.6612 |
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+ | 10.6774 | 1.27 | 70 | 11.6308 |
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+ | 10.2145 | 1.36 | 75 | 11.6035 |
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+ | 10.6536 | 1.45 | 80 | 11.5801 |
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+ | 10.3892 | 1.55 | 85 | 11.5599 |
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+ | 10.3469 | 1.64 | 90 | 11.5429 |
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+ | 10.1863 | 1.73 | 95 | 11.5295 |
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+ | 10.4296 | 1.82 | 100 | 11.5200 |
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+ | 9.989 | 1.91 | 105 | 11.5140 |
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+ | 10.3568 | 2.0 | 110 | 11.5113 |
 
 
 
 
 
 
 
 
 
 
 
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  ### Framework versions
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