metadata
base_model: Salesforce/codegen-350M-mono
library_name: peft
license: bsd-3-clause
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: working
results: []
datasets:
- iamtarun/python_code_instructions_18k_alpaca
working
This model is a fine-tuned version of Salesforce/codegen-350M-mono 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: 0.0005
- train_batch_size: 1
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 6
- mixed_precision_training: Native AMP
Training results
Framework versions
- PEFT 0.12.0
- Transformers 4.44.0
- Pytorch 2.4.0
- Datasets 2.21.0
- Tokenizers 0.19.1