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finetuning_04_utg4java_src_fm_fc_dctx

This model is a fine-tuned version of eljavatar/pretrain_utg4java_codet5p on an unknown dataset.

Model description

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Intended uses & limitations

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Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

  • learning_rate: 5e-05
  • train_batch_size: 32
  • eval_batch_size: 64
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 800
  • num_epochs: 5
  • mixed_precision_training: Native AMP

Framework versions

  • Transformers 4.38.2
  • Pytorch 2.1.0
  • Datasets 2.20.0
  • Tokenizers 0.15.2
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