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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: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# CodeT5p-220M-For-Code-Generation
This model is a fine-tuned version of [Salesforce/codet5p-220m](https://huggingface.co/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 |