README.md

metadata

library_name: transformers
license: other
base_model: meta-llama/Llama-2-7b-chat-hf
tags:
  - llama-factory
  - full
  - generated_from_trainer
model-index:
  - name: llama2_fft_CodeAlpaca-20k_v5_task
    results: []
datasets:
  - sahil2801/CodeAlpaca-20k

llama2_fft_CodeAlpaca-20k_v5_task

This model is a fine-tuned version of meta-llama/Llama-2-7b-chat-hf on the CodeAlpaca-20k 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: 1e-05
• train_batch_size: 16
• eval_batch_size: 8
• seed: 42
• distributed_type: multi-GPU
• num_devices: 4
• total_train_batch_size: 64
• total_eval_batch_size: 32
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: cosine
• num_epochs: 3.0
• mixed_precision_training: Native AMP

Training results

Framework versions

• Transformers 4.44.2
• Pytorch 2.4.1+cu121
• Datasets 2.19.2
• Tokenizers 0.19.1