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End of training

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  1. README.md +6 -6
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@@ -5,18 +5,18 @@ base_model: gpt2
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  tags:
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  - generated_from_trainer
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  model-index:
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- - name: gpt2-address-standardizer
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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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- # gpt2-address-standardizer
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  This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.2797
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  ## Model description
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@@ -48,9 +48,9 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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- | No log | 1.0 | 62 | 0.3084 |
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- | No log | 2.0 | 124 | 0.2837 |
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- | No log | 3.0 | 186 | 0.2797 |
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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: gpt2-address-standardizer-prompted
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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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+ # gpt2-address-standardizer-prompted
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  This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.2911
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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+ | No log | 1.0 | 62 | 0.3101 |
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+ | No log | 2.0 | 124 | 0.2988 |
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+ | No log | 3.0 | 186 | 0.2911 |
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  ### Framework versions