---
license: apache-2.0
base_model: Salesforce/codegen25-7b-multi_P
tags:
- generated_from_trainer
library_name: peft
model-index:
- name: codegen-omniscript-lora
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# codegen-omniscript-lora

This model is a fine-tuned version of [Salesforce/codegen25-7b-multi_P](https://huggingface.co/Salesforce/codegen25-7b-multi_P) 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: 1
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 4
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
- mixed_precision_training: Native AMP

### Training results



### Framework versions

- PEFT 0.8.2
- Transformers 4.38.2
- Pytorch 2.10.0+cu128
- Datasets 4.5.0
- Tokenizers 0.15.2