py312 pylingual v1 statement This model is a fine tuned version of Salesforce/codet5 base on the syssec utd/statement py312 pylingual v1 tokenized dataset. Model description More information needed Intended uses & limitations More information needed Training and evaluation data More information needed Training procedure Training hyperparameters The following hyperparameters were used during training: learning rate: 2e 05 train batch size: 24 eval batch size: 24 seed: 42 distributed type: multi GPU optimizer: Use OptimizerNames.ADAMW TORCH with betas=(0.9,0.999) and epsilon=1e 08 and optimizer args=No additional optimizer arguments lr scheduler type: linear num epochs: 2 mixed precision training: Native AMP Training results Framework versions Transformers 4.48.2 Pytorch 2.2.1+cu121 Datasets 2.18.0 Tokenizers 0.21.0
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