metadata

license: llama2
library_name: peft
tags:
  - generated_from_trainer
base_model: codellama/CodeLlama-7b-Instruct-hf
model-index:
  - name: codellama-7b-instruct-ffmperative-top1k-neft
    results: []

codellama-7b-instruct-ffmperative-top1k-neft

This model is a fine-tuned version of codellama/CodeLlama-7b-Instruct-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: 1.41e-05
train_batch_size: 1
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 2
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3

Training results

Framework versions

PEFT 0.7.1
Transformers 4.36.1
Pytorch 2.1.0+cu118
Datasets 2.15.0
Tokenizers 0.15.0