| tags: | |
| - generated_from_trainer | |
| base_model: llama2-7B-HF | |
| model-index: | |
| - name: Chinese-Llama-2-7B | |
| results: [] | |
| <!-- This model card has been generated automatically according to the information the Trainer had access to. You | |
| should probably proofread and complete it, then remove this comment. --> | |
| # 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 | |