metadata
license: bsd-3-clause
library_name: peft
tags:
- trl
- sft
- generated_from_trainer
base_model: Salesforce/codet5p-220m
datasets:
- generator
model-index:
- name: CodeT5p-220M-For-Code-Generation
results: []
CodeT5p-220M-For-Code-Generation
This model is a fine-tuned version of Salesforce/codet5p-220m on the generator 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: 2
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant
- lr_scheduler_warmup_ratio: 0.03
- training_steps: 100
- mixed_precision_training: Native AMP
Framework versions
- PEFT 0.10.0
- Transformers 4.39.2
- Pytorch 2.1.2
- Datasets 2.16.0
- Tokenizers 0.15.2