metadata

license: llama2
library_name: peft
tags:
  - trl
  - sft
  - generated_from_trainer
base_model: codellama/CodeLlama-7b-hf
model-index:
  - name: codellama2-finetuned-codex
    results: []

codellama2-finetuned-codex

This model is a fine-tuned version of codellama/CodeLlama-7b-hf on the None 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: 2
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
training_steps: 100
mixed_precision_training: Native AMP

Training results

Framework versions

PEFT 0.8.2
Transformers 4.37.2
Pytorch 2.1.0+cu121
Datasets 2.17.1
Tokenizers 0.15.2