metadata

license: llama2
library_name: peft
tags:
  - trl
  - sft
  - generated_from_trainer
  - ipex
  - intel
  - max gpu 1550
base_model: meta-llama/Llama-2-7b-hf
model-index:
  - name: llama2-7b-hf_sft_dolly_loRA
    results: []
datasets:
  - databricks/databricks-dolly-15k

llama2-7b-hf_sft_dolly_loRA

This model is a fine-tuned version of meta-llama/Llama-2-7b-hf on an unknown dataset.

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

databricks/databricks-dolly-15k

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

learning_rate: 1e-05
train_batch_size: 2
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 8
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.05
training_steps: 593

Framework versions

PEFT 0.11.1
Transformers 4.41.2
Pytorch 2.1.0.post0+cxx11.abi
Datasets 2.19.1
Tokenizers 0.19.1