metadata

base_model: meta-llama/CodeLlama-7b-hf
library_name: peft
license: llama2
tags:
  - generated_from_trainer
model-index:
  - name: llama_7b_dfg_AC4_BT4_PAD-right_R16_Alpha16_trainO0-109824_exe
    results: []

llama_7b_dfg_AC4_BT4_PAD-right_R16_Alpha16_trainO0-109824_exe

This model is a fine-tuned version of meta-llama/CodeLlama-7b-hf 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: 0.001
train_batch_size: 4
eval_batch_size: 4
seed: 42
distributed_type: multi-GPU
num_devices: 4
gradient_accumulation_steps: 4
total_train_batch_size: 64
total_eval_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 1

Training results

Framework versions

PEFT 0.13.0
Transformers 4.45.0
Pytorch 2.4.1+cu124
Datasets 3.0.1
Tokenizers 0.20.0