metadata

base_model: meta-llama/Meta-Llama-3-8B
datasets:
  - TIGER-Lab/MathInstruct
library_name: peft
tags:
  - generated_from_trainer
model-index:
  - name: 3e-6_noniid_lora
    results: []

3e-6_noniid_lora

This model is a fine-tuned version of /data/public_models/Meta-Llama-3-8B on the TIGER-Lab/MathInstruct default 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: 2.636775423120012e-07
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: 1.0

Training results

Framework versions

PEFT 0.11.1
Transformers 4.45.2
Pytorch 2.4.1+cu121
Datasets 2.19.0
Tokenizers 0.20.3