README.md

metadata

library_name: peft
license: llama2
base_model: meta-llama/Llama-2-7b-hf
tags:
  - trl
  - sft
  - generated_from_trainer
model-index:
  - name: Llama-2-7b-hf-LOO_amazon-COMB_one_liners-2024-11-19
    results: []

Llama-2-7b-hf-LOO_amazon-COMB_one_liners-2024-11-19

This model is a fine-tuned version of meta-llama/Llama-2-7b-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: 0.0003
• train_batch_size: 16
• eval_batch_size: 16
• seed: 7
• gradient_accumulation_steps: 4
• total_train_batch_size: 64
• optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: linear
• training_steps: 200

Training results

Framework versions

• PEFT 0.13.2
• Transformers 4.46.1
• Pytorch 2.5.1+cu124
• Datasets 3.0.2
• Tokenizers 0.20.1