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update model card README.md

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@@ -13,6 +13,8 @@ should probably proofread and complete it, then remove this comment. -->
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  # distilbert-qa-checkpoint
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  This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the None dataset.
 
 
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  ## Model description
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@@ -37,13 +39,22 @@ 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: 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 | 26 | 2.3467 |
 
 
 
 
 
 
 
 
 
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  ### Framework versions
 
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  # distilbert-qa-checkpoint
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  This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the None dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.2294
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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: 10
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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 | 179 | 0.2972 |
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+ | No log | 2.0 | 358 | 0.1753 |
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+ | 0.4638 | 3.0 | 537 | 0.1634 |
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+ | 0.4638 | 4.0 | 716 | 0.1731 |
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+ | 0.4638 | 5.0 | 895 | 0.1996 |
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+ | 0.0607 | 6.0 | 1074 | 0.2229 |
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+ | 0.0607 | 7.0 | 1253 | 0.2189 |
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+ | 0.0607 | 8.0 | 1432 | 0.2097 |
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+ | 0.0318 | 9.0 | 1611 | 0.2300 |
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+ | 0.0318 | 10.0 | 1790 | 0.2294 |
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  ### Framework versions