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  1. README.md +5 -5
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  ---
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  library_name: transformers
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  license: bsd-3-clause
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- base_model: Salesforce/codet5p-220m
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  tags:
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  - generated_from_trainer
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  model-index:
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- - name: codeT5Plus_sotitlep
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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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- # codeT5Plus_sotitlep
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- This model is a fine-tuned version of [Salesforce/codet5p-220m](https://huggingface.co/Salesforce/codet5p-220m) on the None dataset.
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  ## Model description
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@@ -39,7 +39,7 @@ The following hyperparameters were used during training:
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  - seed: 42
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  - optimizer: Use adamw_torch_fused with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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  - lr_scheduler_type: linear
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- - num_epochs: 6
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  ### Training results
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  ---
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  library_name: transformers
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  license: bsd-3-clause
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+ base_model: BienKieu/codeT5Plus_new
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  tags:
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  - generated_from_trainer
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  model-index:
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+ - name: codeT5Plus_si_sotitle
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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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+ # codeT5Plus_si_sotitle
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+ This model is a fine-tuned version of [BienKieu/codeT5Plus_new](https://huggingface.co/BienKieu/codeT5Plus_new) on the None dataset.
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  ## Model description
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  - seed: 42
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  - optimizer: Use adamw_torch_fused with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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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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