lora / README.md
james92's picture
james92/llama7b__finetune_sample
a9b7423
metadata
library_name: peft
tags:
  - generated_from_trainer
base_model: NousResearch/Llama-2-7b-chat-hf
model-index:
  - name: NousResearch/Llama-2-7b-chat-hf
    results: []

NousResearch/Llama-2-7b-chat-hf

This model is a fine-tuned version of NousResearch/Llama-2-7b-chat-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: 0.0002
  • train_batch_size: 4
  • eval_batch_size: 8
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: constant
  • lr_scheduler_warmup_ratio: 0.03
  • num_epochs: 1

Training results

Framework versions

  • PEFT 0.7.1
  • Transformers 4.36.2
  • Pytorch 2.1.0+cu118
  • Datasets 2.15.0
  • Tokenizers 0.15.0