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Model save

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  1. README.md +6 -5
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@@ -17,7 +17,7 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the squad dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.2039
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  ## Model description
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@@ -42,15 +42,16 @@ 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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- | 0.2317 | 1.0 | 21900 | 0.1589 |
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- | 0.1097 | 2.0 | 43800 | 0.2011 |
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- | 0.038 | 3.0 | 65700 | 0.2039 |
 
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  ### Framework versions
 
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  This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the squad dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.1156
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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: 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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+ | 0.2903 | 0.23 | 5000 | 0.1721 |
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+ | 0.1883 | 0.46 | 10000 | 0.1771 |
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+ | 0.143 | 0.68 | 15000 | 0.1278 |
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+ | 0.1952 | 0.91 | 20000 | 0.1156 |
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  ### Framework versions