metadata

license: llama3.1
library_name: peft
tags:
  - trl
  - sft
  - generated_from_trainer
base_model: meta-llama/Meta-Llama-3.1-8B-Instruct
datasets: TIGER-Lab/MathInstruct
model-index:
  - name: llama3.1-8B-finetuned-Math
    results: []
pipeline_tag: text-generation

llama3.1-8B-finetuned-Math

This model is a fine-tuned version of meta-llama/Meta-Llama-3.1-8B-Instruct on the TIGER-Lab/MathInstruct 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: 4
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
training_steps: 3

Training results

Framework versions

PEFT 0.12.0
Transformers 4.43.3
Pytorch 2.3.0+cu121
Datasets 2.19.1
Tokenizers 0.19.1