--- tags: - generated_from_trainer model-index: - name: Chinese-Llama-2-7B results: [] --- # llama2-7b-llama2_coig_dt_ca-all This model is a fine-tuned version of [llama2-7B-HF](https://huggingface.co/meta-llama/Llama-2-7b-hf) on an Chinese instruction dataset. More information can be found in this [Github Homepage](https://github.com/longyuewangdcu/Chinese-Llama-2/tree/main). ## Model description More information needed ## Intended uses & limitations More information needed ## Training and evaluation data More information needed ### Training hyperparameters The following hyperparameters were used during training: - learning_rate: 2e-05 - train_batch_size: 8 - eval_batch_size: 8 - seed: 1 - distributed_type: multi-GPU - num_devices: 16 - gradient_accumulation_steps: 2 - total_train_batch_size: 256 - total_eval_batch_size: 128 - 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 ### Framework versions - Transformers 4.28.0.dev0 - Pytorch 1.13.1+cu117 - Datasets 2.11.0 - Tokenizers 0.13.2