| license: other | |
| library_name: peft | |
| tags: | |
| - generated_from_trainer | |
| base_model: vilm/vietcuna-3b | |
| model-index: | |
| - name: khanhdhq/finetune_vietcuna_3b_qlora_e1_lr0.0002 | |
| 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. --> | |
| # khanhdhq/finetune_vietcuna_3b_qlora_e1_lr0.0002 | |
| This model is a fine-tuned version of [vilm/vietcuna-3b](https://huggingface.co/vilm/vietcuna-3b) on an unknown dataset. | |
| ## Model description | |
| More information needed | |
| ## Intended uses & limitations | |
| More information needed | |
| ## Training and evaluation data | |
| More information needed | |
| ## Training procedure | |
| The following `bitsandbytes` quantization config was used during training: | |
| - load_in_8bit: False | |
| - load_in_4bit: True | |
| - llm_int8_threshold: 6.0 | |
| - llm_int8_skip_modules: None | |
| - llm_int8_enable_fp32_cpu_offload: False | |
| - llm_int8_has_fp16_weight: False | |
| - bnb_4bit_quant_type: nf4 | |
| - bnb_4bit_use_double_quant: True | |
| - bnb_4bit_compute_dtype: bfloat16 | |
| ### Training hyperparameters | |
| The following hyperparameters were used during training: | |
| ### Training results | |
| ### Framework versions | |
| - PEFT 0.4.0.dev0 | |
| - Transformers 4.31.0.dev0 | |
| - Pytorch 2.0.1+cu118 | |
| - Datasets 2.13.0 | |
| - Tokenizers 0.13.3 | |