---
base_model: hf-internal-testing/tiny-random-LlamaForCausalLM
library_name: peft
tags:
- generated_from_trainer
model-index:
- name: loraretriever-math-lora
  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. -->

# loraretriever-math-lora

This model is a fine-tuned version of [hf-internal-testing/tiny-random-LlamaForCausalLM](https://huggingface.co/hf-internal-testing/tiny-random-LlamaForCausalLM) 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: 0.0001
- train_batch_size: 2
- eval_batch_size: 8
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.04
- training_steps: 2

### Training results



### Framework versions

- PEFT 0.14.0
- Transformers 4.46.1
- Pytorch 2.5.1+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3