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Chinese-Llama-2-LoRA-7B – AI Model by seeledu | AlphaNeural AI
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Chinese-Llama-2-LoRA-7B
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Chinese-Llama-2-LoRA-7B
The LoRA version of Chinese-Llama-2 base on
Llama-2-7b-hf
.
The Github homepage is here:
https://github.com/longyuewangdcu/Chinese-Llama-2/
.
Training hyperparameters
The following hyperparameters were used during training:
learning_rate: 2e-05
train_batch_size: 2
eval_batch_size: 1
seed: 1
distributed_type: multi-GPU
num_devices: 16
gradient_accumulation_steps: 8
total_train_batch_size: 256
total_eval_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.03
num_epochs: 3.0
How to Use
Download the lora model weight in your project path
python3 inference_lora.py --model-name-or-path <your_proj_path>/llama2-7b
--lora-weights <your_proj_path>/Chinese-Llama-2-LoRA-7B/adapter_model
-t 0.7
-sa 'sample'
-i test/test_case.txt
-o test/test_case.general-task.txt
Framework versions
Transformers 4.28.0.dev0
Pytorch 1.13.1+cu117
Datasets 2.11.0
Tokenizers 0.13.2
