metadata

license: llama2
base_model: codellama/CodeLlama-7b-hf
tags:
  - generated_from_trainer
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: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
training_steps: 100

Training results

Framework versions

Transformers 4.34.0
Pytorch 2.0.1+cu118
Datasets 2.14.5
Tokenizers 0.14.1