---
library_name: peft
license: apache-2.0
base_model: data4elm/Llama-400M-12L
tags:
- generated_from_trainer
datasets:
- customized
model-index:
- name: finetune
  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. -->

# finetune

This model is a fine-tuned version of [data4elm/Llama-400M-12L](https://huggingface.co/data4elm/Llama-400M-12L) on the customized 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: 1e-05
- train_batch_size: 24
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- total_train_batch_size: 192
- total_eval_batch_size: 64
- optimizer: Use adamw_torch_fused with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 1.0

### Training results



### Framework versions

- PEFT 0.15.2
- Transformers 4.56.2
- Pytorch 2.8.0+cu128
- Datasets 2.14.6
- Tokenizers 0.22.1