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
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Model tree for eljavatar/pretrain_utg4java_220m_seq1024
Base model
Salesforce/codet5p-220m