finetuning_06_utg4java_src_fm_fc_dctx_priv

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