pretrain_utg4java_220m_seq1024

This model is a fine-tuned version of Salesforce/codet5p-220m 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: 0.0002
• train_batch_size: 16
• eval_batch_size: 32
• seed: 42
• gradient_accumulation_steps: 8
• total_train_batch_size: 128
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 784
• num_epochs: 50
• mixed_precision_training: Native AMP

Framework versions

• Transformers 4.40.0
• Pytorch 2.1.0
• Datasets 3.0.0
• Tokenizers 0.19.1