metadata

license: other
library_name: peft
tags:
  - llama-factory
  - lora
  - generated_from_trainer
base_model: baichuan-inc/Baichuan2-7B-Chat
model-index:
  - name: lora
    results: []

lora

This model is a fine-tuned version of baichuan-inc/Baichuan2-7B-Chat on the identity and the alpaca_en_demo datasets. It achieves the following results on the evaluation set:

Loss: 1.1320

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: 0.0001
train_batch_size: 8
eval_batch_size: 1
seed: 42
distributed_type: multi-GPU
num_devices: 2
total_train_batch_size: 16
total_eval_batch_size: 2
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.1
num_epochs: 2

Training results

Framework versions

PEFT 0.11.1
Transformers 4.41.2
Pytorch 2.2.1+cu121
Datasets 2.18.0
Tokenizers 0.19.1