---
base_model: meta-llama/Meta-Llama-3.1-70B
library_name: peft
license: llama3.1
tags:
- generated_from_trainer
model-index:
- name: MetaMathQA_Meta-Llama-3.1-70B-BNB-NF4_LORA_ADAPTER_96rank
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# MetaMathQA_Meta-Llama-3.1-70B-BNB-NF4_LORA_ADAPTER_96rank

This model is a fine-tuned version of [meta-llama/Meta-Llama-3.1-70B](https://huggingface.co/meta-llama/Meta-Llama-3.1-70B) 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: 2
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- gradient_accumulation_steps: 8
- total_train_batch_size: 128
- total_eval_batch_size: 16
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- num_epochs: 1.0

### Training results



### Framework versions

- PEFT 0.13.2
- Transformers 4.46.3
- Pytorch 2.4.0+cu121
- Datasets 3.2.0
- Tokenizers 0.20.3